Automatized scalable healthcare support solutions allow real-time 24/7 health monitoring of patients, prioritizing medical treatment according to health conditions, reducing medical appointments in clinics and hospitals, and enabling easy exchange of information among healthcare professionals. With recent health safety guidelines due to the COVID-19 pandemic, protecting the elderly has become imperative. However, state-of-the-art health wearable device platforms present limitations in hardware, parameter estimation algorithms, and software architecture. This paper proposes a complete framework for health systems composed of (...) multi-sensor wearable health devices, high-resolution parameter estimation, and real-time monitoring applications. The framework is appropriate for real-time monitoring of elderly patients' health without physical contact with healthcare professionals, maintaining safety standards. The hardware includes sensors for monitoring steps, pulse oximetry, heart rate, and temperature using low-power wireless communication. In terms of parameter estimation, the embedded circuit uses high-resolution signal processing algorithms that result in an improved measure of the HR. The proposed high-resolution signal processing-based approach outperforms state-of-the-art HR estimation measurements using the photoplethysmography sensor. (shrink)

Air pollution is a critical challenge for urban areas, contributing to public health crises and environmental degradation. Traditional air quality monitoring systems often lack the granularity and adaptability needed to address dynamic pollution sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance air quality management in smart cities by enabling real-time monitoring, pollution source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, satellite imagery, and traffic systems, cities (...) can reduce pollution levels, improve public health outcomes, and promote sustainable urban environments. Experimental results demonstrate significant improvements in pollution detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban air quality management. (shrink)

Noise pollution is a growing concern in urban areas, contributing to public health issues such as stress, sleep disturbances, and hearing loss. Traditional noise monitoring systems often lack the granularity and adaptability needed to address dynamic noise sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance noise pollution management in smart cities by enabling real-time monitoring, source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, traffic systems, and (...) urban infrastructure, cities can reduce noise levels, improve public health outcomes, and enhance the quality of life for residents. Experimental results demonstrate significant improvements in noise detection accuracy, mitigation efficiency, and public awareness, offering a sustainable blueprint for urban noise pollution management. (shrink)

Background: The risk of surgery in eloquent areas is related to neuropsychological dysfunctions. Maximizing the extent of resection increases the overall survival. The onco-functional balance is mandatory when surgery involves cognitive areas, and maximal information on the cognitive status of patients during awake surgery is needed. This can be achieved using direct cortical stimulation mapping and, in addition to this, a neuropsychological monitoring technique called real-time neuropsychological testing. The RTNT includes testing protocols based on the area where (...) the surgery is performed. We reported on tests used for left temporal lobe surgery and our RTNT decision tree.Case Report: We reported our RTNT experience with a 25-year-old right-handed man with 13 years of schooling. He reported daily partial seizures. MRI revealed the presence of a low-grade glioma involving the temporo-insular cortex. The neuropsychological status presurgery which was within the normal range was combined with functional magnetic resonance imaging and diffusion tensor imaging information. Awake surgery plus RTNT was performed. Direct electrical stimulation during object naming elicited a motor speech arrest. Resection was continuously accompanied by the RTNT. The RTNT provided enriched information to the surgeon. Performance never dropped. A slight decrement in accuracy emerged for pseudoword repetition, short-term memory and working memory, phonological processing, and verbal comprehension. Total resection was performed, and the histological examination confirmed the nature of the lesion. Immediate postsurgery performance was within the normal range as it was the fMRI and DTI assessment.Conclusion: The RTNT provides essential information that can be used online, during surgery, for clinical aims to provide the surgeon with useful feedback on the cognitive status of patients. (shrink)

Poor air quality is a pressing global challenge contributing to adverse health impacts around the world. In the past decade, there has been a rapid proliferation of air quality information delivered via sensors, apps, websites or other media channels in near real-time and at increasingly localized geographic scales. This paper explores the growing emphasis on self-monitoring and digital platforms to supply informational interventions for reducing pollution exposures and improving health outcomes at the individual level. It presents a (...) technological case study that characterizes emerging air quality information communication mechanisms, or ‘AQ channels’, while drawing upon examples throughout the literature. The questions are posed: which air quality channels are ‘freely’ available to individuals in London, UK, and when and where are they accessed? Digital trace data and metadata associated with 54 air quality channels are synthesized narratively and graphically. Results reveal air quality channels derive air pollution estimates using common data sources, display disparate messaging, adopt variable geographic scales for reporting ‘readings’ and maintain psychosocial barriers to access and adoption of exposure-reducing behaviours. The results also point to a clear association between the publication of a high-profile news article about air pollution and increased air quality channel access. These findings illuminate a need for greater transparency around how air quality channels generate personalized air pollution exposure estimates and tailor messaging. The paper concludes by calling for air quality channel developers to exercise co-creative methods that can support sustainable, democratic data and knowledge production around air quality, while critically approaching disproportionate patterns of both pollution and information exposure. (shrink)

Low heart rate causes a risk of death, heart disease, and cardiovascular diseases. Therefore, monitoring the heart rate is critical because of the heart’s function to discover its irregularity to detect the health problems early. Rapid technological advancement allows healthcare sectors to consolidate and analyze massive health-based data to discover risks by making more accurate predictions. Therefore, this work proposes a real-time prediction system for heart rate, which helps the medical care providers and patients avoid heart rate (...) risk in real time. The proposed system consists of two phases, namely, an offline phase and an online phase. The offline phase targets developing the model using different forecasting techniques to find the lowest root mean square error. The heart rate time-series dataset is extracted from Medical Information Mart for Intensive Care. Recurrent neural network, long short-term memory, gated recurrent units, and bidirectional long short-term memory are applied to heart rate time series. For the online phase, Apache Kafka and Apache Spark have been used to predict the heart rate in advance based on the best developed model. According to the experimental results, the GRU with three layers has recorded the best performance. Consequently, GRU with three layers has been used to predict heart rate 5 minutes in advance. (shrink)

Type 1 diabetes (T1D) is a chronic illness that requires intensive lifelong management of blood glucose concentrations by means of external insulin administration. There have been substantial developments in the ways of measuring glucose levels, which is crucial to T1D self-management. Recently, continuous glucose monitoring (CGM) has allowed people with T1D to keep track of their blood glucose levels in near real-time. These devices have alarms that warn users about potentially dangerous blood glucose trends, which can often (...) be shared with ther people. CGM is consistently associated with improved glycemic control and reduced hypoglycemia and is currently recommended by doctors. However, due to the costs of CGM, only those who qualify for hospital provision or those who can personally afford it are able to use it, which excludes many people. In this paper, I argue that unequal access to CGM results in: (1) unjust health inequalities, (2) relational injustice, (3) injustice with regard to agency and autonomy, and (4) epistemic injustice. These considerations provide prima facie moral reasons why all people with T1D should have access to CGM technology. I discuss the specific case of CGM policy in the Netherlands, which currently only provides coverage for a small group of people with T1D, and argue that, especially with additional considerations of cost-effectiveness, the Dutch government ought to include CGM in basic health care insurance for all people with T1D. (shrink)

In this paper, we propose an Internet of Things to enhancing the experience of personal gardening as a method of therapy for mental-health patients, given a belief in its role in a person’s mood and general positivity, The proposed prototype continuously senses and monitors the state of an indoor plant through different sensors. The user is notified of the plant’s needs for water, sunlight, etc., through generated notifications from channels over cloud in-real time. Thus, we were able to (...) successfully create a humanised experience of recovery where the user can accessibly ‘talk’ with its plant through a smartphone. (shrink)

Multimedia learning theories suggest presenting associated pieces of information in spatial and temporal contiguity. New technologies like Augmented Reality allow for realizing these principles in science laboratory courses by presenting virtual real-time information during hands-on experimentation. Spatial integration can be achieved by pinning virtual representations of measurement data to corresponding real components. In the present study, an Augmented Reality-based presentation format was realized via a head-mounted display and contrasted to a separate display, which provided a well-arranged data (...) matrix in spatial distance to the real components and was therefore expected to result in a spatial split-attention effect. Two groups of engineering students performed six experiments exploring fundamental laws of electric circuits. Cognitive load and conceptual knowledge acquisition were assessed as main outcome variables. In contrast to our hypotheses and previous findings, the Augmented Reality group did not report lower extraneous load and the separate display group showed higher learning gains. The pre- and posttest assessing conceptual knowledge were monitored by eye tracking. Results indicate that the condition affected the visual relevancy of circuit diagrams to final problem completion. The unexpected reverse effects could be traced back to emphasizing coherence formation processes regarding multiple measurements. (shrink)

A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, (...) the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved. (shrink)

Introduction: The potential therapeutic efficacy of real-time fMRI Neurofeedback has received increasing attention in a variety of psychological and neurological disorders and as a tool to probe cognition. Despite its growing popularity, the success rate varies significantly, and the underlying neural mechanisms are still a matter of debate. The question whether an individually tailored framework positively influences neurofeedback success remains largely unexplored.Methods: To address this question, participants were trained to modulate the activity of a target brain region, the (...) visual motion area hMT+/V5, based on the performance of three imagery tasks with increasing complexity: imagery of a static dot, imagery of a moving dot with two and with four opposite directions. Participants received auditory feedback in the form of vocalizations with either negative, neutral or positive valence. The modulation thresholds were defined for each participant according to the maximum BOLD signal change of their target region during the localizer run.Results: We found that 4 out of 10 participants were able to modulate brain activity in this region-of-interest during neurofeedback training. This rate of success is consistent with the neurofeedback literature. Whole-brain analysis revealed the recruitment of specific cortical regions involved in cognitive control, reward monitoring, and feedback processing during neurofeedback training. Individually tailored feedback thresholds did not correlate with the success level. We found region-dependent neuromodulation profiles associated with task complexity and feedback valence.Discussion: Findings support the strategic role of task complexity and feedback valence on the modulation of the network nodes involved in monitoring and feedback control, key variables in neurofeedback frameworks optimization. Considering the elaborate design, the small sample size here tested impairs external validity in comparison to our previous studies. Future work will address this limitation. Ultimately, our results contribute to the discussion of individually tailored solutions, and justify further investigation concerning volitional control over brain activity. (shrink)

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, (...) place, and environment, while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things, and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device. (shrink)

In this paper, through research and analysis of the communication network of the physical activity monitoring system, we combine wearable technology and identification technology and design a physical health monitoring bracelet that integrates multifaceted physical data collection and effective identity matching function. We match the identity through the chip and collect the physical fitness data generated in the process of exercise and centralized test by the sensor in real-time. Finally, the data transmission is realized through the (...) WIFI communication function to achieve the purpose of monitoring physical exercise and improving physical quality. To ensure the continuity and stability of information transmission, the joint transmission method of direct transmission and indirect transmission is essential. Besides, considering the energy causality limitation of sensor nodes and relay nodes, a collaborative transmission model of wireless body area network based on wireless cognitive network is constructed. And, a power allocation algorithm based on maximum ratio merging and wireless cognitive network is proposed, which puts forward a new idea for the future research of wireless body area network resource allocation. (shrink)

This is a fun, chatty little book that also manages to say, comprehensibly, much that is profound about technology. This trifecta is an embarrassment to those of us phlegmatic of mind and turgid of prose, but more about that presently. First, the book.For any kid who ever doodled his way through junior high school American history—and therefore for most of our countrymen—the “victory” of the Union ironclad Monitor over the CSS Virginia preserved the Union blockade, assured Northern victory in the (...) Civil War, and signaled both a technological revolution in naval warfare and the advent of American technological preeminence. As David Mindell shows, however, none of the above. Moreover, these historical myths resulted not from fond recollections of a remote, more heroic time and place but, rather, from the carefully orchestrated real‐time machinations of interested historical actors: designers and allied contractors and politicians , navy bureaucrats and officers, cabinet‐level officials, newspaper propagandists, and earnest intellectuals, including Nathaniel Hawthorne and Herman Melville.The Monitor barely made it to her famous pas de deux with the Virginia in Hampton Roads, and while she achieved tactical stalemate, Virginia, by her continued existence, strategically checkmated the Monitor, the Union Navy, and the Army of the Potomac in the Peninsula Campaign. Even after the Virginia was scuttled by the retreating Confederates, Monitor continued to swelter in futility, anchored for most of the summer of 1862 up the James River, just short of Richmond. But by then she was a sacred icon: in the telling phrase of the major source for this book, the ship's paymaster, Lt. William Keeler, she was “an iron ship in a glass case,” too valuable to Union morale to risk in combat.The six months of idle futility did give Keeler and his compatriots more than ample time for surprisingly deep ruminations on the nature of war and technology: on what classic military virtues such as “heroism” or “courage” or “honor” could possibly mean for those invulnerable behind iron armor; on whether “casualty‐free war” would be morally acceptable either to the now “machine operators” of the Monitor or to her victims; on the irony of life in a ship that was really a submersible, dependent on sealed hatches, often inadequate and unreliable ventilation blowers, and bilge pumps for life support; on the disjuncture between the “public” Monitor and life on the James; presciently, on what death might be like in an iron coffin. Nathaniel Hawthorne, who visited the ship soon after the engagement in Hampton Roads, made perhaps the most chilling observations for those of us fed a steady diet of “smart bombs,” cruise missiles, UACVs , and the happy prospect of war by remote control: “human strife is to be transferred from the heart and personality of man into cunning contrivances of machinery, which by‐and‐by will fight our wars with only the clank and smash of iron, strewing the field with broken engines, but damaging nobody's little finger except by accident” . Not then; probably not yet.Mindell probes and explores these weighty issues with a grace and aplomb that virtually indict more ponderous efforts. Yet therein lies a sublime reflexive paradox: Could this argument, so clearly expressed, have been thought, much less understood, without the twenty‐five years of scholarship comprised by EPOR , SCOT , or actor network theory? Happily, none of the jargon of any of these schools intrudes in this story. But the narrative, so clearly written, and the side comments within the narrative, so cleverly phrased, evoke a whole analytical structure, laboriously, if often murkily, assembled by tedious writers and tendentious theorists. Like the Monitor herself in her glass box, the history told here reflects as much as it reveals. Elegant and understandable historical narrative and theoretically animated inquiry are not, it would seem, mutually exclusive antagonists, but the warp and weft of collective intellectual endeavor. If some see farther or more clearly than others, it may be because, sometimes, they stand on the shoulders of industrious moles. (shrink)

Online trading invariably involves dealings between strangers, so it is important for one party to be able to judge objectively the trustworthiness of the other. In such a setting, the decision to trust a user may sensibly be based on that user’s past behaviour. We introduce a specification language based on linear temporal logic for expressing a policy for categorising the behaviour patterns of a user depending on its transaction history. We also present an algorithm for checking whether the transaction (...) history obeys the stated policy. To be useful in a real setting, such a language should allow one to express realistic policies which may involve parameter quantification and quantitative or statistical patterns. We introduce several extensions of linear temporal logic to cater for such needs: a restricted form of universal and existential quantification; arbitrary computable functions and relations in the term language; and a “counting” quantifier for counting how many times a formula holds in the past. We then show that model checking a transaction history against a policy, which we call the history-based transaction monitoring problem, is PSPACE-complete in the size of the policy formula and the length of the history, assuming that the underlying interpreted func-. (shrink)

We design and implement an intelligent IoT-based motion monitoring system to realize the monitoring of three important parameters, namely, the type of movement, the number of movements, and the period of movement in physical activities, and optimize the system to support the simultaneous use by multiple users. Considering the motion monitoring scenario for smart fit, the framework of an IoT-based motion monitoring system is proposed. The framework contains components such as active acquisition nodes, wireless access points, (...) data processing servers, and terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. For active pattern recognition, two types of classification algorithms with different complexity are proposed based on Support Vector Machine and deep neural networks, respectively, to adapt to scenarios with different computational capabilities. For period calculation, a method based on over-zero detection and wavelet transform is proposed to count the number of actions and calculate the period of each action. In 100 times action cycle calculation experiments, the count statistic calculation method achieves 100% calculation accuracy and the active cycle calculation results are close to the real value, which proves the effectiveness of the cycle calculation method. The system provides a multiuser-oriented communication method and realizes accurate and reliable human movement monitoring, which has a wide application prospect in the fields of physical education and rehabilitation training. (shrink)

I want to try to do something rather more speculative than the rest of you have done. I have been thinking recently about how one might explain some features of human reflective consciousness that seem to me to be very much in need of an explanation. I'm trying to see if these features could be understood as solutions to design problems, solutions arrived at by evolution, but also, in the individual, as a result of a process of unconscious self-design. I've (...) been trying to think of this in the context of work in AI on the attempt to design intelligent robots – not "bed-ridden" expert systems, but systems that have to act in real time in the real world. If you want to think about something like this, you have to stray fairly far from experiments and hard empirical data; you have to get fairly speculative. Nevertheless the design efforts of people in AI do seem to bring home to conviction – if not to prove – various design constraints looming large and inescapable. If we can come to see why a system – or an organ or a behavior-pattern – must have certain features or a certain structure in order to do its task, this may help us ask the right questions, or at least keep us from dwelling on some of the wrong questions when we try to explain the machinery in the brain that is responsible for intelligent action. (shrink)

How is human social intelligence engaged in the course of ordinary conversation? Standard models of conversation hold that language production and comprehension are guided by constant, rapid inferences about what other agents have in mind. However, the idea that mindreading is a pervasive feature of conversation is challenged by a large body of evidence suggesting that mental state attribution is slow and taxing, at least when it deals with propositional attitudes such as beliefs. Belief attributions involve contents that are decoupled (...) from our own primary representation of reality; handling these contents has come to be seen as the signature of full-blown human mindreading. However, mindreading in cooperative communication does not necessarily demand decoupling. We argue for a theoretical and empirical turn towards “factive” forms of mentalizing here. In factive mentalizing, we monitor what others do or do not know, without generating decoupled representations. We propose a model of the representational, cognitive, and interactive components of factive mentalizing, a model that aims to explain efficient real-time monitoring of epistemic states in conversation. After laying out this account, we articulate a more limited set of conversational functions for nonfactive forms of mentalizing, including contexts of meta-linguistic repair, deception, and argumentation. We conclude with suggestions for further research into the roles played by factive versus nonfactive forms of mentalizing in conversation. (shrink)

This article examines an innovative experiment in democratizing international broadcasting through embracing a participatory model of production. In spring 2010, a political debate television series was co-created by BBC Arabic and citizen producers, using social media tools. Based around interviews with prominent political and controversial public figures, the programme (G710) was broadcast weekly on satellite TV across the Middle East and the Arabic-speaking world. Combining collaborative ethnography with corporate ‘big data’ analysis, the research team followed the experiment from conception to (...) premature closure. The article argues that the kinds of digital tools deployed in producing the programme, and used by BBC audience research to monitor user practices in real time, have become essential to corporate processes of BBC World Service governance and management procedures, business strategy, accountability measures, marketing practices and editorial decision-making. They act as change agents, presenting methodological problems and opportunities for the BBC’s audience researchers and academic researchers, as well as symbolizing the contradictory logic of empowerment and surveillance. (shrink)

Water scarcity and inefficient water management are critical challenges for rapidly growing urban areas. Traditional water distribution systems often suffer from leaks, wastage, and inequitable access, exacerbating resource shortages. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban water management by enabling real-time monitoring, predictive maintenance, and efficient resource allocation. By integrating data from smart meters, pressure sensors, and weather forecasts, cities can reduce water losses, improve distribution efficiency, and ensure equitable access. Experimental (...) results demonstrate significant improvements in leak detection, water conservation, and infrastructure reliability, offering a sustainable blueprint for urban water management in smart cities. (shrink)

The growing volume of urban waste poses significant environmental and economic challenges for cities worldwide. Traditional waste management systems often rely on inefficient collection routes, inadequate recycling processes, and excessive landfill usage. This paper explores how Artificial Intelligence (AI) and IoT technologies can revolutionize waste management in smart cities by enabling real-time monitoring, automated sorting, and optimized collection routes. By integrating data from smart bins, robotic sorting systems, and predictive analytics, cities can achieve zero-waste goals and promote (...) circular economy practices. Experimental results demonstrate significant improvements in waste segregation accuracy, collection efficiency, and recycling rates, offering a sustainable blueprint for urban waste management. (shrink)

Buildings account for a significant portion of global energy consumption and carbon emissions, making energy efficiency a critical focus for urban sustainability. Traditional building management systems often lack the adaptability and precision needed to optimize energy usage dynamically. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance energy efficiency in smart buildings by enabling real-time monitoring, predictive maintenance, and adaptive control systems. By integrating data from smart meters, occupancy sensors, and environmental monitors, cities can (...) reduce energy waste, lower carbon footprints, and improve occupant comfort. Experimental results demonstrate significant improvements in energy savings, operational costs, and environmental impact, offering a sustainable blueprint for smart building management. (shrink)

Human creativity generates novel ideas to solve real-world problems. This thereby grants us the power to transform the surrounding world and extend our human attributes beyond what is currently possible. Creative ideas are not just new and unexpected, but are also successful in providing solutions that are useful, efficient and valuable. Thus, creativity optimizes the use of available resources and increases wealth. The origin of human creativity, however, is poorly understood, and semantic measures that could predict the success of (...) generated ideas are currently unknown. Here, we analyze a dataset of design problem-solving conversations in real-world settings by using 49 semantic measures based on WordNet 3.1 and demonstrate that a divergence of semantic similarity, an increased information content, and a decreased polysemy predict the success of generated ideas. The first feedback from clients also enhances information content and leads to a divergence of successful ideas in creative problem solving. These results advance cognitive science by identifying real-world processes in human problem solving that are relevant to the success of produced solutions and provide tools for real-time monitoring of problem solving, student training and skill acquisition. A selected subset of information content (IC Sánchez–Batet) and semantic similarity (Lin/Sánchez–Batet) measures, which are both statistically powerful and computationally fast, could support the development of technologies for computer-assisted enhancements of human creativity or for the implementation of creativity in machines endowed with general artificial intelligence. (shrink)

In order to improve early childhood physical education, in this study, the talent cultivation mechanism for undergraduates was explored under the “full-practice” concept, oriented by preschooler mental health. First, from the perspective of preschooler psychology, the mechanisms of ability training and talent cultivation for undergraduates majoring in early childhood education were explored under the “full-practice” concept. Considering that the physical, psychological, and intellectual development of preschoolers shall follow the rules of physical education, and current early childhood education mainly focuses on (...) intelligence education in China, early childhood physical education was analyzed further in this study. By investigating the undergraduate majors of early childhood education in Henan University, this study first summarized the current problems in early childhood education systems in universities. Secondly, combined with the form of physical education in kindergartens, strategies for talent cultivation and curriculum setting of early childhood physical education majors in colleges and universities were proposed. Finally, from the perspective of innovation and diversification of training forms, the cultivation of early childhood educators’ physical education ability was analyzed at multiple levels and multiple objectives, and the integrated training system of early childhood education talents was constructed. The results show that, among all the courses for early childhood education major, compulsory courses account for 81.2% and optional courses account for 18.8%. In addition, a survey on undergraduates’ attitudes toward the curriculum of their major demonstrates that 81.2% of the undergraduates thought that the range and content of practical courses should be increased, indicating that undergraduates majoring in early childhood education are dissatisfied with the current curriculum system, and they have an increased demand for practical courses. Correspondingly, it is vital to build and improve on the early childhood physical education. In terms of its talent cultivation, the “full-practice” concept helps combine theory with practice to improve the effectiveness of education and teaching, pushing forward the reform of the education system. Meanwhile, data- and intelligence-oriented teaching will become the new direction of modern sports development, as well as an important link for tracking and monitoring children’s sports teaching in China. Through the continuous introduction of wearable artificial intelligence products, real-time monitoring of children’s physical conditions can be realized, which helps improve the effectiveness of early childhood physical education. (shrink)

Urban wastewater management is a critical component of sustainable water cycles, but traditional systems often struggle with inefficiencies such as high operational costs, resource wastage, and environmental pollution. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban wastewater management by enabling real-time monitoring, predictive maintenance, and resource recovery. By integrating data from IoT sensors, water quality monitors, and treatment plants, cities can improve water quality, reduce operational costs, and recover valuable resources such as (...) energy and nutrients. Experimental results demonstrate significant improvements in treatment efficiency, resource recovery rates, and environmental impact, offering a sustainable blueprint for smart urban wastewater systems. (shrink)

In the research of motion video, the existing target detection methods are susceptible to changes in the motion video scene and cannot accurately detect the motion state of the target. Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. This article (...) focuses on how to efficiently perform motion detection on real-time video. By introducing the mathematical model of image processing, the traditional motion detection algorithm is improved and the improved motion detection algorithm is implemented in the system. This article combines the advantages of the widely used frame difference method, target detection algorithm, and background difference method and introduces the moving object detection method combining these two algorithms. When using Gaussian mixture model for modeling, improve the parts with differences, and keep the unmatched Gaussian distribution so that the modeling effect is similar to the actual background; the binary image is obtained through the difference between frames and the threshold, and the motion change domain is extracted through mathematical morphological filtering, and finally, the moving target is detected. The experiment proved the following: when there are more motion states, the recall rate is slightly better than that of the VIBE algorithm. It decreased about 0.05 or so, but the relative accuracy rate increased by about 0.12, and the increase ratio is significantly higher than the decrease ratio. Departments need to adopt effective target extraction methods. In order to improve the accuracy of moving target detection, this paper studies the method of background model establishment and target extraction and proposes its own improvement. (shrink)

Preparing words in speech production is normally a fast and accurate process. We generate them two or three per second in fluent conversation; and overtly naming a clear picture of an object can easily be initiated within 600 msec after picture onset. The underlying process, however, is exceedingly complex. The theory reviewed in this target article analyzes this process as staged and feedforward. After a first stage of conceptual preparation, word generation proceeds through lexical selection, morphological and phonological encoding, phonetic (...) encoding, and articulation itself. In addition, the speaker exerts some degree of output control, by monitoring of self-produced internal and overt speech. The core of the theory, ranging from lexical selection to the initiation of phonetic encoding, is captured in a computational model, called WEAVER++. Both the theory and the computational model have been developed in interaction with reaction time experiments, particularly in picture naming or related word production paradigms, with the aim of accounting for the real-time processing in normal word production. A comprehensive review of theory, model, and experiments is presented. The model can handle some of the main observations in the domain of speech errors (the major empirical domain for most other theories of lexical access), and the theory opens new ways of approaching the cerebral organization of speech production by way of high-temporal-resolution imaging. (shrink)

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. (...) Public health researchers supervise this process daily, and provide insights to practitioners across a range of disciplines. Through this work, we have gleaned three lessons to address misinformation. Sources of vaccine misinformation are known; there is a need to operationalize learnings and engage the pro-vaccination majority in debunking vaccine-related misinformation. Existing systems can identify and track threats against health experts and institutions, which have been subject to unprecedented harassment. This supports their safety and helps prevent the further erosion of trust in public institutions. Responses to misinformation should draw from cross-sector crisis management best practices and address coordination gaps. Real-time monitoring and addressing misinformation should be a core function of public health, and public health should be a core use case for data scientists developing monitoring tools. The tools to accomplish these tasks are available; it remains up to us to prioritize them. (shrink)

Both corporate and global governance seem to demand increasingly sophisticated means for identification. Supposedly justified by an appeal to security threats, fraud and abuse, citizens are screened, located, detected and their data stored, aggregated and analysed. At the same time potential customers are profiled to detect their habits and preferences in order to provide for targeted services. Both industry and the European Commission are investing huge sums of money into what they call Ambient Intelligence and the creation of an (...) ‘Internet of Things’. Such intelligent networked environments will entirely depend on real time monitoring and real time profiling, resulting in real time adaptation of the environment. In this contribution the author will assess the threats and opportunities of such autonomic profiling in terms of its impact on individual autonomy and refined discrimination and indicate the extent to which traditional data protection is effective as regards profiling. (shrink)

Human “free will” has been made problematic by several recent arguments against mental causation, the unity of the I or “self,” and the possibility that conscious decision-making could be temporally prior to action. This paper suggests a pathway through this thicket for free will or self-determination. Doing so requires an account of mind as an emergent process in the context of animal psychology and mental causation. Consciousness, a palpable but theoretically more obscure property of some minds, is likely to derive (...) from complex animals’ real-time monitoring of internal state in relation to environment. Following Antonio Damasio, human mind appears to add to nonhuman “core consciousness” an additional narrative “self-consciousness.” The neurological argument against free will, most famously from Benjamin Libet, can be avoided as long as “free will” means, not an impossible event devoid of prior causation, but an occasional causal role played by narrative self-consciousness in behavioral determination. There is no necessary incompatibility between the scientific and evolutionary exploration of mind and consciousness and the uniquely self-determining capabilities of human mentality which are based on the former. (shrink)

Brain monitoring combined with automatic analysis of EEGs provides a clinical decision support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring applications (e.g., neurological intensive care units). Clinicians have indicated that a sensitivity of 95% with specificity below 5% was the minimum requirement for clinical acceptance. In this study, a high-performance automated EEG analysis system based on principles of machine learning and big data is proposed. This hybrid architecture integrates hidden (...) Markov models (HMMs) for sequential decoding of EEG events with deep learning-based postprocessing that incorporates temporal and spatial context. These algorithms are trained and evaluated using the Temple University Hospital EEG, which is the largest publicly available corpus of clinical EEG recordings in the world. This system automatically processes EEG records and classifies three patterns of clinical interest in brain activity that might be useful in diagnosing brain disorders: (1) spike and/or sharp waves, (2) generalized periodic epileptiform discharges, (3) periodic lateralized epileptiform discharges. It also classifies three patterns used to model the background EEG activity: (1) eye movement, (2) artifacts and (3) background. Our approach delivers a sensitivity above 90% while maintaining a specificity below 5%. We also demonstrate that this system delivers a low false alarm rate, which is critical for any spike detection application. (shrink)

While sustainability in farming is increasingly recognised, practical implementation faces obstacles, including knowledge gaps that hinder farmers’ effective adaptation. Agricultural sensors have emerged as tools to assist farmers in offering real-time monitoring capabilities, which can provide information to support decision-making towards sustainable crop production. However, critical analyses point out that innovation in agricultural equipment predominantly focuses on optimising the dominant intensification model, while sensors might also facilitate biodiversity-based strategies toward agricultural sustainability, which aim to replace chemical inputs (...) through intensified ecological interactions. In this article, we examine the intricate relationship between technology and practice, recognising that the functionality of sensors is contingent upon the user, manner of use, and implementation context. We employ social practice theory to examine farmers’ current sensor usage and broader sensing practices in farming system strategies that align either more with efficiency/substitution-based or with biodiversity-based approaches toward agricultural sustainability. Through this approach, we elucidate how sensors and sensing practices contribute to knowledge production and management in both farming systems. Drawing on 11 semi-structured interviews with Dutch farmers, we identify diverse sensing practices that can enable different types of knowledge: oversight—enabling farmers to optimise the efficiency of production—and insight—offering a holistic and long-term understanding of ecological relations and how they affect production. We conclude by discussing the implications of these sensing practices and types of knowledge for strategies for agricultural sustainability. (shrink)

Arts, Real-Time Video and Interactivity for Sustainability is an ongoing collaborative research project investigating how real-time video, DIY surveillance technologies and sensor data can be used as a tool for environmental awareness, activism and artistic explorations. The project consists of a series of digital contexts for aesthetic contemplation of nature and civic engagement, aiming to foster awareness and empowerment of local populations through DIY surveillance. At the core of the ARTIVIS efforts are a series of interactive (...) installations, that make use of surveillance technologies and real-time video as raw material to promote environmental awareness through the emotion generated by real-time connections with nature. Throughout the project development, the surveillance concept has been shifting from the use of surveillance technology in a centralized platform, to the idea of veillance with distributed peer-to-peer networks that can be used for science and environmental monitoring. In this paper we present the history of the ARTiVIS project, related and inspiring work, describe ongoing research work and explore the present and future challenges of appropriating surveillance technology for artistic, educational and civic engagement purposes. (shrink)

The use of wireless sensor networks and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller (...) is implemented to manage the uncertainty related to estimating forest fire occurrence and dynamic update of fuzzy sets is developed to distinguish usual and unusual environmental conditions of every monitored forest area. Merkle trees, AES and hash functions are considered to protect the integrity of environmental data. (shrink)

The widespread use of Internet technology has changed people’s traditional life mode and created a new market transaction mode, namely, e-commerce platform. The Internet of Things can carry out real-time monitoring and management of any product in e-commerce and not only can realize information sharing in commercial activities but also can play a greater role in the protection of personal and enterprise information security. In this context, the efficiency and low cost of information flow, cash flow, logistics, (...) and human resources among enterprises are particularly important. The Internet of Things technology is a means to effectively improve and optimize the operation mode of the supply chain. This paper analyzes the status of traditional supply chain management, which discusses the development of a supply chain management based on the Internet of Things technology. Finally, this paper analyzes how to realize the optimization strategy of e-commerce supply chain management based on the Internet of Things technology, which provides strong support for the informatization of e-commerce supply chain management. Through the application of the Internet of Things technology, small- and medium-sized enterprises can optimize the workflow and circulation links of the e-commerce supply chain management, enhance the matching level of product value and information transmission, improve the supply chain operation mechanism, and increase economic benefits. (shrink)

To preserve postoperative brain function, it is important for neurosurgeons to fully understand the brain's structure, vasculature, and function. Intraoperative high-frequency electrical stimulation during awake craniotomy is the gold standard for mapping the function of the cortices and white matter; however, this method can only map the “focal” functions and cannot monitor large-scale cortical networks in real-time. Recently, an in vivo electrophysiological method using cortico-cortical evoked potentials induced by single-pulse electrical cortical stimulation has been developed in an extraoperative (...) setting. By using the CCEP connectivity pattern intraoperatively, mapping and real-time monitoring of the dorsal language pathway is available. This intraoperative CCEP method also allows for mapping of the frontal aslant tract, another language pathway, and detection of connectivity between the primary and supplementary motor areas in the frontal lobe network. Intraoperative CCEP mapping has also demonstrated connectivity between the frontal and temporal lobes, likely via the ventral language pathway. Establishing intraoperative electrophysiological monitoring is clinically useful for preserving brain function, even under general anesthesia. This CCEP technique demonstrates potential clinical applications for mapping and monitoring large-scale cortical networks. (shrink)

BackgroundWork stress is a serious problem in primary education. Decades of research underline the importance of participatory, organizational-level work stress prevention approaches. In this approach, measures are planned to tackle causes of work stress in a participatory manner and implemented by a working group consisting of members of the organization. This approach can only be effective if the measures contain effective ingredients to decrease work stress risks and are successfully implemented. The aim of this paper is to present an outline (...) of a work stress prevention approach that is evaluated in primary education. To ensure the appropriateness of measures, a logic model of change is built as part of the risk assessment to facilitate the selection of appropriate measures. Progression on target behaviors as well as implementation factors are real-time monitored during implementation and fed back to the working groups, to provide the opportunity to adjust action plans when needed to optimize implementation.MethodsThe approach consists of five steps: preparation: installing an advisory board and working groups, risk assessment: inventory of work stress risks. In addition, a behavioral analysis is performed to build a logic model of change to facilitate selection of measures, action planning: conducting an action plan with appropriate measures, implementation: implementing the action plan. During implementation progression on target behaviors and implementation factors are monthly monitored and fed back to the working groups, and evaluation: effects of the approach are studied in a controlled trial with measurements at baseline, 1 year, and 2 years follow-up. A process evaluation is carried out using quantitative and qualitative data to study the implementation process of all steps of the work stress approach.DiscussionWe believe that building a logic model of change and real-time monitoring of implementation could be of added value to improve the success of the work stress prevention approach. With this study, we aim to provide more insights into work stress intervention research, especially in primary education.Clinical Trial RegistrationThe study is registered in Netherlands Trial Register. (shrink)

Definitions of privacy change, as do norms for protecting it. Why, then, are privacy scholars and activists currently worried about “normalization”? This essay explains what normalization means in the context of surveillance concerns and clarifies why normalization has significant governance consequences. We emphasize two things. First, the present is a transitional moment in history. AI-infused surveillance tools offer a window into the unprecedented dangers of automated real-time monitoring and analysis. Second, privacy scholars and activists can better integrate (...) supporting evidence to counter skepticism about their most disturbing and speculative claims about normalization. Empirical results in moral psychology support the assertion that widespread surveillance typically will lead people to become favorably disposed toward it. If this causal dynamic is pervasive, it can diminish autonomy and contribute to a slippery slope trajectory that diminishes privacy and civil liberties. (shrink)

Aiming at the problem of insufficient health monitoring of the elderly in the existing home care system, this paper designs a health information analysis and early warning system based on the Internet of Things technology, which can monitor the physiological data of the elderly in real time. It also can be based on the elderly real-time monitoring data, physical examination data, and other types of health data, which can be used to predict diseases, so (...) as to achieve “early detection and early treatment” of diseases. First, analyse and design the architecture and content of the home care monitoring system based on the Internet of Things. Secondly, based on the collected heart rate, blood pressure, and three-axis acceleration information of the elderly, it is analysed to determine whether the elderly are in danger of falling, and the designed system is used for early warning. Finally, this paper analyses the prediction algorithm theory of the disease prediction module in the health monitoring software of the home care system. In order to improve the accuracy of prediction, the DS evidence theory is used to optimize the traditional BP neural network algorithm and conduct experimental tests. The test results show that the health information analysis and early warning software of the home care system meet actual needs and achieve the expected goals. (shrink)

The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research (...) data collection. H-IoT promises many benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT. (shrink)

Since 2008 I have been closely following the conceptual/performance/video work of Daniel Peltz. Gently rendered through media installation, ethnographic, and performance strategies, Peltz’s work reverently and warmly engages the inner workings of social systems, leaving elegant rips and tears in any given socio/cultural quilt. He engages readymades (of social and media constructions) and uses what are identified as interruptionist/interventionist strategies to disrupt parts of an existing social system, thus allowing for something other to emerge. Like the stereoscope that requires two (...) identical images to create an illusion of a three-dimensional image, Peltz sometimes visualizes two separate elements to create an object or moment that requires space and depth to focus on its varied layers. They say your brain has to process and make meaningful sense out of all that visual information before it can accept the illusion. I say your brain has to do a similar thing when looking and seeing the divine, magical, and faithful (social) art making of Daniel Peltz. Daniel Peltz is Associate Professor of Film/Animation/Video at RISD. He divides his time between Rhode Island and Sweden and is currently at work on an exhibition at Botkyrka Konsthall, Stockholm opening February 2013 and a new project to be included in the IASKA: Spaced Biennial (Australia) in 2014. This interview took place on Skype and is part one of a two-part interview. Feliz Lucia Molina: Are you in Providence, RI? Daniel Peltz: I’m at my house in Providence. I’ve been back for six days teaching winter session at RISD and doing this workshop series—these investors’ drum circles with a group of wealth managers. a client of the firm, 2013, photo Shirin Adhami FLM: The wealth managers were all drumming together? DP: They were all drumming in response to the performance of their retirement portfolios. FLM: Is this part of the “Unrealized Gain/Loss” piece? DP: Yes, it’s part of a show I’m working on in Sweden. I can show you because it was just today. I’ll show you some of this. Lets see—share screen [click, click, click]. This is the room. I’ve been using the camera system that’s already installed in the conference rooms to record them. So the video is being recorded directly by the wealth management office’s tech staff. These are the people I worked with in the last workshop. This conference table is less wondrous. They’ve been learning to drum in response to their retirement portfolios. I started by bringing in my little bit of wealth for them to propose a management strategy, I came to the follow-up meeting with a counter proposal, which was this workshop. So they agreed to do this series of workshops instead of managing my wealth. FLM: Does everybody in the room manage your wealth? That’s kind of a lot of people. DP: That woman in the back there and Craig —they handle new client business. So when you come there with your wealth, they sit down with you and suggest to you how they would manage it. They’re very nice, responsible people. FLM: And where is this? DP: This is in Providence and the one I was showing you is in Waltham, where I was today. Then I’m going to Newport for the last one on Friday. So I will have done four of them. This is the group in Waltham that I just played with today. I played directly with the two groups in Providence and I’m working with an ethnomusicologist at Brown, Asha Tamarisa, who is facilitating the last two. She’s helped develop the workshop in terms of figuring out how to train a group to do this and thinking about the compositional challenges of working in response to retirement portfolio data. FLM: Screensharing helps me to figure out tiny bits here and there about the project. DP: I might even be able to play you a little of the audio I’ve also been working with a group of professional percussionists on what will become a quarterly public investors’ drum circle event. Their stuff was really nice, but I want you to hear what we sounded like in the workshops. They’ve all been recorded by the a/v system in the offices. We use a simple structure where the drummer investors interpret the sensation of gain or loss as embellishments to a base heartbeat rhythm. The group holds the heartbeat and, as each person experiences gain or loss, they embellish that rhythm. "Screensharing helps me to figure out tiny bits here and there about the project" FLM: Is the process all very spontaneous? DP: Its actually quite structured. We produce a custom stock ticker that shows the performance of their collective portfolios. In advance of the workshop each participant submits assets in their retirement portfolio. Then we make a stock ticker that shows the real-time performance of their assets so that they can respond to almost live data. FLM: Are they reading the stock ticker projected up on the screen in the room? Do people drum in correspondence to the visual live data of the performance of their assets? DP: Exactly. They’re looking at the stock ticker as opposed to each other, so it’s a slightly shifted drum circle. They’re looking at the ticker but they’re listening to each other—that’s what we’re practicing. For example, NVO—the price is 172.08 but it’s down -1.16 and as that moves across the screen, the person who’s retirement is invested in that asset starts to embellish when that arrow first appears, based on their experience of loss. They stop when it exits the screen and return to the heartbeat. You could have one ticker for each retirement portfolio, but the way the workshop is constructed is that we just isolate one asset from each person’s portfolio so that everyone in the group is represented in a single ticker. So they’re drumming and looking at the ticker, but they’re hearing each other experience gain and loss. We’ve removed direct visual engagement from the social structure of a drum circle but the oral engagement is still there. FLM: So they had their own sound interpretation of gain and loss? DP: Yeah and that part is quite spontaneous as you were saying. In some of the preparatory exercises we’ve been working to give the participants more strategies for interpreting the sensations of gain and loss. We’re trying to develop their capacity to embellish a heartbeat or base rhythm but I’m not invested in having a melodious result. I’m quite curious about what this kind of structure will result in without any desire for a particular result. FLM: For context, can you talk about the project you did a couple years ago in Bali, “Unrealized Gain/Loss” in relation to this current wealth management project? DP: The workshops I’ve been doing use a similar strategy to the other components in this project. It started in Indonesia on my sabbatical and I was really trying to understand where I was physically and where I was being on sabbatical—this kind of strange jubilee structure where every seventh year you’re supposed to renew your self. And it was around the time of the global financial crisis. I was on sabbatical for the global financial crisis. I remember watching my father, in particular, respond to the financial crisis by monitoring his retirement portfolio and trying to make sense of it. I realized on a visit to their home that he checked his retirement portfolio every single day and I was really struck by that because in some way our parents are mysteries to us as children, especially their moods. We know how important their moods are but we don’t know what governs them. And somehow it was like I’d figured it out, it’s the performance of the DOW! So I think there was something in that. Then I was in Indonesia and I had been drawn there by an interest in their highly ritualized Hindu culture, where so much of life is driven by a ceremonial calendar. I was interested in Bali as this predominantly Hindu pocket within a predominantly Islamic country and life there being organized by this ritual calendar functioning as a kind of resistance to the dominant global religion of free-market capitalism. So I started to explore that correlation between the ways in which this culture that I was living in was sort of “living for the afterlife” and this idea within certain segments of American society of “living for the afterwork life”. The idea that your wellbeing in the “afterwork life” is tied to forces that are unseen and largely beyond your control has strong similarities to many religious understandings of the universe. So I started to explore that and the crafts and materials that were around me were primarily Batik and percussion. Percussion is a huge part of daily life in Bali. These gamelan troupes were everywhere. And I also happened to be there for Nyepi, the day of silence, which is preceded by a very elaborate procession and construction of demonic statues. These were the things that were around me and I started studying Batik with one of the Batik artists there and also started a conversation with two master Batik artists, one who is American and her Indonesian husband. I developed these patterns that were based on symbols from the performance of my retirement portfolio and worked with the batik artists to produce two sarongs. d. peltz - 2012 In producing the designs, I treated the performance of my retirement portfolio since my arrival at RISD [7 years] as a significant interval and then I looked at the ways in which decisions are made within retirement portfolios as having an extension outwards from the individual assets that underlie the retirement portfolio, which are kind of like the base elements of the retirement world. Then there’s the allocation of your assets, which is a global way of understanding an individual according to typologies, which are often referred to in terms of risk—this notion of a ‘risk profile’. What type of ‘person’ you are is determined by your attitude towards risk, or potentiality, and I found that to be a really fascinating way of understanding the universe. I remember looking at the tabs in my retirement portfolio and finding this one for viewing ‘Unrealized Gain/Loss’ and that’s often how I work—is just going through the Cambridge Parking Code, for example, and finding this section of the code that was called ‘Crossing Non-Signalized Locations’ and just feeling “I can’t do any better than that,” you know? That’s what I was talking about in terms of ready-mades that exist in the social sphere. So I found that tab, actually, a long time ago, and I pulled it out of a journal when I was there [in Bali] working on these pieces and I wound up making these two sarongs and later on a series of porcelain vessels for holding one’s unrealized gains and losses. At the time, I knew that I wanted a performance to come out of them, but I wasn’t sure what it was. I was inspired very much by this sort of thing: Pulls out a TIAA-CREF brochure with a man in a suit seated at a table. This guy is probably an actor, and [the brochure] says “TIAA-Cref announces “Individual counseling sessions at the Rhode Island School of Design. Individual counseling sessions at no additional cost to you. You can discuss your personal financial situation with an experienced TIAA consultant on a confidential basis. We are available to help you discuss how to achieve your financial goals by investing in financial solutions such as mutual funds, brokerage, life insurance, and annuities...etc....What retirement benefits best fits your situation?” Often I encounter this and I think O.K., this is one way to prepare for the after-work life and it seems inadequate to me. But, I also find it really inspiring. I really like the visual language of it. I kind of want to be that man. I’d like to see if I could maybe buy his clothes. FLM: What it is about the man on the brochure that interests you? DP: He’s offering personalized objective advice and a detailed evaluation of everything you need to know and do. Who wouldn’t want that? But he’s also something of a contemporary priest or priestess, mediating between the unseen all-powerful universe of global capitalism and the common worker. So I started off developing Unrealized Gain/Loss directly from the charts that represent the performance of my retirement portfolio. Then I came home and I wanted to use those. I had this word in my journal “unrealized gain/loss vessel.” I had this notion of vessels that would contain unrealized gains and losses. That felt really important to me that they would have somewhere to go. I had been thinking a lot about altars and making offerings—that somehow this really fickle, massive, difficult-to-comprehend-universe of the financial world—that somehow it might be nice if you could making an offering to it. [In Bali] they made such beautiful elaborate offerings. So I studied offering making as well with one of the women there and she taught me some of the standard forms created by folding leaves and the significance of the floral arrangements. I started working in clay and then moved to porcelain and I made these unrealized gain/loss vessels. I made a few of them, they have holes on either side that you can’t get your fingers in. But something can go in there and something can go out of there. It’s a nice size for putting on an altar. Then I got this commission from Artists in Context who was interested in my doing something for this project “Artists Perspectives for the Nation” project. I proposed initiating these investors’ drum circles as a new public performance form. I’m interested in bringing together those two symbols—the symbol of the djembe and the drum circle. unrealized gain/loss vessel - d.peltz - 2012 FLM: I can imagine the public digital stock ticker performing like a soft fleeting stream of information, a kind of (meaningless) illusory comfort blanket. DP: In some way you have to understand its relevance outside of the obvious, right? Because the obvious is illogical. Nobody is actually using that data to day trade, for example. People aren’t sitting there with their computers watching the market data in Times Square or setting up an outdoor office and being like “OK it’s up 3 points or it’s up 1.56, trade! Ok now buy, Ok now sell!” That would be a kind of a nice performance, actually. But actual day traders would want more up to date data than that. To understand what that data is doing is really important. And that’s something I’ve realized—that I’m interested in a particular kind of data visualization, which is not about what data can tell people, but what data can tell people who are visualizing it. For example, in the Cambridge Project “Crossing Non-Signalized Locations” I was interested in the 10,000 excuses archive of data recording five years worth of excuses for why people thought they shouldn’t have received their parking ticket. I was not interested in making that excuse wall so that the public could see and understand this data. Inevitably the data will be seen by others but I was really interested in what the action of visualizing the data told those who were visualizing it. The parking attendants themselves were writing those excuses on the wall—I was interested in what that kind action of writing the excuses on the wall told them about the data. Similarly, I’m interested in designing a way to allow people to pass this data from the unseen universe of the market, through their own bodies, which happens through the merging of the drum and the stock ticker. I’m interested in those two also as symbols; the drum as this symbol of the earth, the body and a pagan counterculture, and the stock ticker referring to the ethereal world of global markets—bringing those two together and making them dependent. I’m often drawn to conceptual propositions that I become invested in testing in a sincere way—at first they often they sound humorous to others, but I have to remember that there is humor in them. I don’t sit around and laugh about these things. I stop finding them funny at all. I’m interested in the proposition that we could know something about the after-work life by drumming in response to our retirement portfolio. So then I become really interested in how to craft that into a viable performance form for myself and others. FLM: The aspect of using sound in “Unrealized Gain/Loss” as a way of embodying the information to the asset holder is really intriguing—using sound as a means of embodying the asset data. Was sound a medium that made sense to use immediately or were you considering other means of attempting to embody it? DP: Well I do use other mediums within the project like textile, ceramic, and batik patterns. I was first drawn to the history of Batik patterns as a socio-economic stratification system and the vessels as a way of embodying or manifesting this data of unrealized gain and loss. My first approach was to work with meditation actually—a meditation workshop with my colleagues. I was going to offer this “Unrealized Gain/Loss” workshop where you would explore the sensations of gain and loss by adapting the way yogi-nidra brings you into contact with your physical surroundings and stretches your perception. FLM: At Naropa University there are/were business & compassion workshops—a sort of mash-up of business and compassion and how compassion could be incorporated into a business model. This process and engagement of “embodying data” also has to do with “Participatory Democracy and the Future of Karaoke” you created at the DNC in Denver in 2008. DP: That kind of appropriation and instrumentalization of spiritual practice could be disturbing and thus compelling as a strategy. For various reasons, I’ve come to be drawn to both the form of a quarterly public performance and the established performance form of a drum circle. Its something I’ve seen myself do before, that is to mess up a really good functional social system like a drum circle or karaoke. I remember I was developing language for the karaoke project and started calling it “Participatory Democracy and the Future of Karaoke” and one of my assistants on the project, who’s an incredible artist, said, “but don’t you think the future of karaoke is guitar hero?” and I realized that maybe he thought I was trying to improve the form. I’m just trying to get people to have this shifted embodied experience, I need to craft the performance context so that they can do that. In the case of the karaoke project, for example, what did I need in order to be able to do this [a person to stand up in front of a bar and deliver a karaoke speech]? I realized that the body is very vulnerable so I built a podium so that the speaker can feel secure enough to do this, otherwise you couldn’t get to this state achieved by passing these speeches through the body. Then I was, like, well you need to be able to practice the lyrics because you don’t know all the “songs” by heart, which became an insert to the massive track books carried by most karaoke VJs. And then sometimes the crowd in the bar isn’t there with me, so I needed to extract the voice of the crowd cheering from the original venue and I needed the local audience to cheer if they wanted to. I’m interested in both where the form succeeds and fails. In particular, one of the most interesting things is this auditory gap between the space where you are, the reduced scale of applause in your own little bar, and this grand scale of applause at the convention center where the speech was originally delivered. FLM: How did the concept of “Participatory Democracy Karaoke” come about and why did you use karaoke as a means of engaging what was happening at the DNC in 2008? DP: I was looking at a lot of different readymade media infrastructures within the city at the time. I was interested in the emergency broadcast systems and I developed a proposal to repurpose that system and karaoke became an important symbol because it was this populist form that was already engaged in exploring the sensation of celebrity but also visualizing the gap between ourselves and those with more power and influence. So it had this readymade capacity to play with power and celebrity and I felt like the Obama presidential campaign, the first one in particular, had some very curious overlaps with this culture of celebrity. Obama of course rose to power partly based on his oratory abilities and I was interested in how karaoke as a vehicle was so adept at offering people all that was left of authentic expression in a political speech. Managing a politician and constructing their identity is such a developed practice that it becomes, kind of automatically, a metaphor for the way that our own identities are constructed. Of course the Obama campaign was very hip and savvy and deploying this notion of grassroots. It was really pioneering in its use of social media and this deployment of notions of populism. I was interested at that time in the capacity of karaoke to track speech patterns, precise tempos of anyone’s delivery, and that to me was a way of thinking about what might be left of the authentic self. I was interested in karaoke’s capacity to extract that authentic component and offer it to others. So not just to stand up and be them, but to [literally] pass their speech patterns through your own body. A long time ago, it started to strike me as odd that one would make media at all. It struck me as a kind of un-contemporary way of going about making art in an age of media overflow. That logic extended into my thinking on delivery devices and installation as well. Why would one buy a screen or even set one up when there are so many out there? And the way in which these media displays function in karaoke bars and bars in general is very interesting to me. I’m drawn to this passive consumption of media where your primary social interaction is with the bartender or a few other individuals but these screens are around you and your attention is shifting back and forth between these spaces. So much political rhetoric is spoken to a half-listening audience. I was interested in what was happening in the slippage and that karaoke was a kind of slippage amplifier. So if you put people in a bar and they are delivering a Kucinich speech and Kucinich comes up on a screen then your getting a sound bite of Kucinich and an image of Kucinich and your friend is talking to you— FLM: A kind of magic takes place in that incongruency between sound and image and the karaoke participant who’s relaying the speech-text at the same time. DP: Exactly and there’s some kind of truth in that experience of reality. FLM: Yeah, there’s something uncanny about seeing the body close-up like that as though it can’t lie to you in that moment or context. It’s a weird moment of luminous clarity. The work you’ve done and all of what you’re saying about karaoke is so very interesting to me. Growing up, my dad and uncles sang karaoke a lot (and still do) and being first-generation Filipino American is a different cultural subtext entirely. I’m also seeing it from the position of witnessing family members who are carriers of these stories and songs. And seeing them cherish these Tony Bennett, Frank Sinatra, Elvis Presley songs so much, I also see how their bodies are literal vessels of popular music that signifies something greater—it signifies their cultural and socioeconomic place in the world. The way that they cherish these American 1950s and 1960s pop songs is similar to having a certain kind of reverence for their spiritual faith or Catholicism. It’s a similar kind of care, focus, and attention exerted in karaoke and Catholicism—that these two structures and systems give something to focus on. Setsuko, Seiji and Hitoshi in Obama, Japan as Obama in Indiana — d. peltz — 2008 DP: Sure there something about the relationship we have to our candidate or the way we go about choosing a candidate, which is very similar to a deity or idol. I learned a lot about karaoke culture through this project. I’d never done karaoke. I’d never been interested in it as a form and then I travelled to Japan as part of the project when I made “Setsuko, Seiji and Hitoshi in Obama, Japan as Barack Obama in Indiana” and it was quite fascinating because my image of karaoke had always been this very public forum in a karaoke bar and then I discovered there’s this whole other world of karaoke where people even go on their own, they go and rent a room or cubicle and sing, or they go on a date—just the two of them go and sit in a room and do karaoke together. FLM: I’m interested in issues that take place within or as a result of specific karaoke culture(s). In the Philippines within the last several years there’s been occurring the “My Way Killings” phenomenon. Apparently baklas or gay men are employed by karaoke establishments to help “smooth over conflicts over karaoke singing”—these social forms of conduct, or lack thereof that arise out of the infrastructures of this social sport. In this one rural part of the Philippines there’s a village karaoke machine that the whole village shares—the Aeta indigenous people have an appointed “keeper” of the karaoke machine. I also see karaoke as a proxy to the confessional box in Catholicism where one goes to pour out their sins (minus the penance and redemption). The karaoke machine enables one to literally sing out whatever’s going on internally, but through highly saturated popular song lyrics. While karaoke is a public and social sport, it can also be a private one. Karaoke is a means of communion with each other. DP: Right, this preference for this kind of mediated communication. In Japan I was trying to organize people to work on this project and I was talking about throwing a party and they were like, well, we have to rent a karaoke machine because what else are we going to do? And I think its kind of serving that function of surrogacy—emotional surrogacy. FLM: And karaoke tools can be read as ritual tools—the magic mic that holds everything. There’s got to be some overlap at some point—between religious ceremony and devotion to the karaoke machine. DP: The way I designed the piece was so that it could slip right on top of the ready-made karaoke infrastructure. There was a flat-packed podium and it was made of a single sheet of plywood with no fasteners that slotted into itself. Those were sent out to a network of karaoke bars that I invited to become “karaoke convention centers.” The local VJs downloaded our custom-made, speech-extracted tracks that were designed to play on their existing equipment. In this sense the piece is a permanent installation. If you go to Denver today, some of the VJs still have the tracks in their library of offerings, the Ramones and Romney. It was this notion of re-purposing readymade infrastructure to create a distributable populist form. Obama was coming and the convention was in the Pepsi Center and 30,000 people were coming including 10,000 journalists. The impetus behind the larger art project that commissioned international artists to make works in Denver, was that local people weren’t going to have much access to this convention. It was like an invasion, the city was being descended upon, but if you lived a block away from the site, you had the same access as people in Zimbabwe&mash;30 second media bits excerpted from the speeches. So it seemed to me that the fundamental gesture was how do I take that signal, which was travelling out of the convention center, and create a local interruption? FLM: Is that what you mean by ‘intervention’? The term is frequently used to help describe your work. DP: It depends on the day. Around that karaoke project I had a conversation with Krzysztof Wodiczko and he was proposing that maybe rather than intervention, we should consider the word interruption. Because intervention is kind of an overused term in the field of art and it has militaristic and therapeutic associations outside of the art context. Fundamentally, the idea of intervening speaks to the readymade social world as your primary material. So it’s basically suggesting a kind of subtractive process, which gets back to this question: what is the role of the contemporary media artist in a world that’s so saturated with media? You can’t work additively in a saturated field. If you want to make a visible mark you have to work subtractively. That’s what intervention is about to me, just another way of saying “to work subtractively.” FLM: So the interventions or interruptions aren’t necessarily adding or subtracting, but are they putting orange cones there? What are they doing exactly? DP: I think you’re right about that, they’re not really subtracting. They’re adding to the scope of possibility. I’ve been thinking (with this exhibition I’m mounting next month) about the work as explorations and expansions of social possibility. Maybe it’s more insertion. I started calling the pieces ‘insertions’ that I was making in Rejmyre—a small town in Sweden where I’ve been working for six years now. My favorite site to install there is the tourist bureau. I started calling the video pieces that I made for the tourist bureau, video insertions. This idea that you’re inserting something into the readymade media infrastructure of the world resonates with me. Insertion leverages a context, creating a possibility that the inserted object might be naturalized in the process — that someone can encounter my video in Rejmyre as tourist information. And then all of a sudden tourist information can include some American guy prostrating through town and it can include really bad relationship advice. Maybe insertion is a better word. tourist information – d. peltz 2009-present  . (shrink)

We propose a new integrative framework of external time monitoring in prospective memory (PM) tasks and its relation with performance. Starting from existing empirical regularities and our theoretical analysis, the framework predicts that external monitoring in PM tasks comprises a first stage of loose monitoring to keep track of the passage of time, and a subsequent stage of finer-grained monitoring, based on interval reduction, to meet the PM deadline. Following our framework, we predicted and (...) observed in three different datasets (N = 375): (1) a marked increase in external monitoring frequency in the final part of the period of the PM task, well captured by a proportional rate exponential growth function; (2) a positive association between individual compliance with this monitoring pattern and PM performance; (3) a positive relation between monitoring frequency in the time window immediately preceding the PM deadline and PM performance at the individual level; and (4) good individual compliance with an interval reduction pattern in external monitoring, especially in the time window closer to the PM deadline. These results support the proposed integrative framework, which has the potential to foster future research on external monitoring in PM and in other fields of cognitive science. (shrink)

The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions (...) and consumers may be rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols. (shrink)

Precision livestock farming (PLF) is the management of livestock using the principles and technology of process engineering. Key to PLF is the dense monitoring of variegated parameters, including animal growth, output of produce (e.g. milk, eggs), diseases, animal behaviour, and the physical environment (e.g. thermal micro-environment, ammonia emissions). While its proponents consider PLF a win-win strategy that combines production efficiency with sustainability goals and animal welfare, critics emphasise, inter alia, the potential interruption of human-animal relationships. This paper discusses the (...) notion that the objectification of animals by PLF influences the developmental pathways of conventional industrial farming. We conduct a conceptual analysis of objectification by comparing discussions in feminist ethics and animal ethics. We find that in animal ethics, objectification includes deontological arguments regarding instrumentalisation, de-animalisation, alienation, commodification and quantification of animals. The focus on socio-political context and relationality connects these debates to central ideas in care ethics. We adopt a care ethics perspective to assess the implications of the objectification of animals in livestock farming. The basic claim is that sensory knowledge symbolised by the farmers’ unity of hand, head and heart would make it harder to objectify animals than abstract and instrumental reasoning where the pursuit of knowledge is intertwined with the pursuit of control, as in mainstream PLF. Despite of what can be considered as a good caring relationship between farmers and animals that is mediated by PLF, people involved in conventional industrial farming still seem to become further detached from farmers and animals, because the PLF system itself is objectifying. PLF redefines the notion of care, in terms of data transparency, standardisation of methods for analysis, real-time collection and processing of data, remote control, and the use of digital platforms. This creates new expectations and requires a redistribution of responsibilities within a wider scope of relations in the value chain. (shrink)

This study focuses on CEO hubris and its effect on corporate unethical behaviour—pollution in particular, and in addition examines critical institutional contingencies [state ownership, political connection and industrial competition] which may moderate this effect. With data from over-polluting listed firms based on the real-time pollution monitoring system in transitional China from 2015 to 2017, we find that CEO hubris is significantly positively related to firm pollution, and that the moderating role of SO is not significant, that PC (...) positively moderates the hubris–pollution relationship and that industrial competition negatively moderates this relationship. These findings contribute to research on the upper echelon theory, institutional theory and the growing literature on emerging economies. (shrink)