Although the management and planning of water resources are extremely significant to human development, the complexity of implementation is unimaginable. To achieve this, the high-precision water consumption prediction is actually the key component of urban water optimization management system. Water consumption is usually affected by many factors, such as weather, economy, and water prices. If these impact factors are directly combined to predict water consumption, the weight of each perspective on the water consumption will be ignored, which will be greatly (...) detrimental to the prediction accuracy. Therefore, this paper proposes a deep neural network-based complex system for urban water management. The essence of it is to formulate a water consumption prediction model with the aid of principal component analysis and the integrated deep neural network, which is abbreviated as UWM-Id. The PCA classifies the factors affecting water consumption in the original data into three categories according to their correlation and inputs them into the neural network model. The results in the previous step are assigned weights and integrated into the form of fully connected layer. Finally, analyzing the sensitivity of the proposed UWM-Id and comparing its performance with a series of commonly used baseline methods for data mining, a large number of experiments have proved that UWM-Id has good performance and can be used for urban water management system. (shrink)

Our perception of where touch occurs on our skin shapes our interactions with the world. Most accounts of cutaneous localisation emphasise spatial transformations from a skin-based reference frame into body-centred and external egocentric coordinates. We investigated another possible method of tactile localisation based on an intrinsic perception of ‘skin space’. The arrangement of cutaneous receptive fields (RFs) could allow one to track a stimulus as it moves across the skin, similarly to the way animals navigate using path integration. We applied (...) curved tactile motions to the hands of human volunteers. Participants identified the location midway between the start and end points of each motion path. Their bisection judgements were systematically biased towards the integrated motion path, consistent with the characteristic inward error that occurs in navigation by path integration. We thus showed that integration of continuous sensory inputs across several tactile RFs provides an intrinsic mechanism for spatial perception. (shrink)

It remains controversial whether touch is a truly spatial sense or not. Many philosophers suggest that, if touch is indeed spatial, it is only through its alliances with exploratory movement, and with proprioception. Here we develop the notion that a minimal yet important form of spatial perception may occur in purely passive touch. We do this by showing that the array of tactile receptive fields in the skin, and appropriately relayed to the cortex, may contain the same basic informational building (...) blocks that a creature navigating around its environment uses to build up a perception of space. We illustrate this point with preliminary evidence that perception of spatiotemporal patterns on the human skin shows some of the same features as spatial navigation in animals. We argue (a) that the receptor array defines a ‘tactile field’, (b) that this field exists in a minimal form in ‘skin space’, logically prior to any transformation into bodily or external spatial coordinates, and (c) that this field supports tactile perception without integration of concurrent proprioceptive or motor information. The basic cognitive elements of space perception may begin at lower levels of neural and perceptual organisation than previously thought. (shrink)

Using Chinese listed companies as research setting, this paper constructs a measure of corporate competing culture through textual analysis on firms’ management discussion and analysis disclosures, and examines the impact of corporate competing culture on environmental investment. The results show that competing culture has a significant and positive impact on firms’ environmental investment, and the results remain robust to a battery of robustness tests. Moreover, the mediating analysis indicates that competing culture promotes corporate environmental investment through enhancing firms’ internal control (...) quality. Furthermore, the heterogeneity results show that the positive impact of corporate competing culture on environmental investment is more pronounced in firms with larger size, stronger corporate governance, in high-polluting industry, and located in less developed regions. Our findings shed light on the importance of corporate competing culture and provide practical implications for corporate sustainable development. (shrink)

A number of philosophers uphold a metaphysical symmetry between time and hypertime, in this sense: in so far as hypertime exists, the nature of hypertime should agree with the nature of time. Others allow that we can mix and match the metaphysics of time and hypertime. Thus, it may be that time really passes, but hypertime does not or vice versa. In this paper, we provide a preliminary defense of the mix and match approach. We outline a number of arguments (...) for the claim that time and hypertime must share a common nature and find them all wanting. (shrink)

With the rapid growth of various complex networks, link prediction has become increasingly important because it can discover the missing information and predict future interactions between nodes in a network. Recently, the CAR and CCLP indexes have been presented for link prediction by means of different triangle structure information. However, both indexes may lose the contributions of some shared neighbors. We propose in this work a new index to make up the weakness and then improve the accuracy of link prediction. (...) The proposed index focuses on a new triangle structure, i.e., the triangle formed by one seed node, one common neighbor, and one other node. It emphasizes the importance of these triangles but does not ignore the contribution of any common neighbor. In addition, the proposed index adopts the theory of resource allocation by penalizing large-degree neighbors. The results of comparison with CN, AA, RA, ADP, CAR, CAA, CRA, and CCLP on 12 real-world networks show that the proposed index outperforms the compared methods in terms of AUC and ranking score. (shrink)

The spreading of reputational information about group members through gossip represents a widespread, efficient, and low-cost form of punishment. Research shows that negative arousal states motivate individuals to gossip about the transgressions of group members. By sharing information in this way groups are better able to promote cooperation and maintain social control and order.

Indonesia and Taiwan are two countries that have been affected by the tourism sector, although with different policies to control the COVID-19 pandemic. Taiwan is known as a country with pandemic policies that have been recognized around the world, although it has a high vulnerability to experiencing a high number of infections due to its geographical and political position close to the source of the pandemic. On the other hand, Indonesia is known for its controversial pandemic management and control policies. (...) Indonesia and Taiwan have carried out various public policies to increase tourism activities during the pandemic, such as accelerating vaccination in tourist areas and for tourists, as well as various other stimuli to stimulate tourism. The debate over vaccination raises questions about attitudes toward vaccines in society. The lack of clarity on psychosocial and political conditions creates confusion among the public in perceiving the COVID-19 pandemic and in perceiving the risks of traveling. This can affect people's attitudes toward vaccines, travel anxiety, and travel intentions. This study aims to analyze traveling intention due to the COVID-19 pandemic through COVID-19 Risk Perception, Fear of COVID-19, Risk Perception to Travel, Vaccine Attitude, and Fear to Travel. The research in Indonesia involved 358 respondents while the research in Taiwan involved 283 respondents. The research analysis used multiple regression and simple linear regression to ascertain the role of each association. The results showed that the travel intention of Indonesian tourists was formed from the direct and indirect roles of covid 19 risk perception, fear of covid 19, risk perception to travel, vaccine attitude, and fear to travel. Meanwhile, the travel intention of Taiwanese tourists is not influenced by a fear of covid. The travel intention model of Taiwanese tourists is formed from the direct and indirect roles of covid 19 risk perception, risk perception to travel, vaccine attitude, and fear to travel. This research contributes to tourism risk management in the face of pandemics, particularly in terms of government policies that can reduce tourism anxiety to travel during disasters. (shrink)

With the rise of artificial intelligence (AI) and the desire to ensure that such machines work well with humans, it is essential for AI systems to actively model their human teammates, a capability referred to as Machine Theory of Mind (MToM). In this paper, we introduce the inner loop of human–machine teaming expressed as communication with MToM capability. We present three different approaches to MToM: (1) constructing models of human inference with well-validated psychological theories and empirical measurements; (2) modeling human (...) as a copy of the AI; and (3) incorporating well-documented domain knowledge about human behavior into the above two approaches. We offer a formal language for machine communication and MToM, where each term has a clear mechanistic interpretation. We exemplify the overarching formalism and the specific approaches in two concrete example scenarios. Related work that demonstrates these approaches is highlighted along the way. The formalism, examples, and empirical support provide a holistic picture of the inner loop of human–machine teaming as a foundational building block of collective human–machine intelligence. (shrink)

Gender role congruity theory emphasizes the ubiquity of male-typed leadership schemas as barriers to female leaders’ career development (i.e., descriptive stereotypes); however, the expectation of female leaders’ fulfilling their gender role (i.e., prescriptive stereotypes) has received limited attention. Extending this line of research, we propose the concept of female-typed leadership schemas and suggest that the (mis)match between female CEOs’ gender-stereotyped behavioral differences (agentic vs. communal) and female-typed leadership stereotypes helps explain the prescriptive gender stereotypes that women face in the CEO (...) post-succession stage. Using data from 251 female CEO succession events at publicly listed firms on the Shanghai and Shenzhen Stock Exchanges from 2007 to 2017 in China, we found that the risk-taking behaviors of new female CEOs may lead to a perceived mismatch between prescriptive gender-stereotyped expectations and the actual behaviors of female CEOs as top leaders, increasing their likelihood of being dismissed during the post-succession process. Moreover, gender inequality beliefs in local contexts and adverse selection at the time of succession amplify the gender-stereotyped attribution. This study contributes to the female leadership and ethics literature by developing a comprehensive theoretical framework to test how female-typed leadership stereotypes hinder the career development of women in top executive positions. (shrink)

We investigated whether a pre-change representation is inhibited or weakened under correct change detection. Two arrays of six objects were rapidly presented for change detection in three experiments. After detection, the perceptual identification of degraded stimuli was tested in Experiments 1 and 2. The weakening of a pre-change representation was not observed under correct detection. The repetition priming effect was observed for a pre-change object and the magnitude was equivalent to the effect for a post-change object. Under change blindness, repetition (...) priming for a pre-change representation was observed when detection did not require report of location in Experiment 1 and was not observed when location was required to be reported in Experiment 2. The results of Experiment 3 showed that a pre-change representation was recognized at a higher rate under correct detection than under change blindness, reflecting a stronger rather than a weaker pre-change representation in the former context. (shrink)

We report that upon excitation by a single pulse, a classical harmonic oscillator immersed in the classical electromagnetic zero-point radiation exhibits a discrete harmonic spectrum in agreement with that of its quantum counterpart. This result is interesting in view of the fact that the vacuum field is needed in the classical calculation to obtain the agreement.

It has been found in many cases that consumers are prone to exhibit impulsive buying behavior that is manifested as being immediate, emotional, and irresponsible especially under short video scenario. Supported by the customer inspiration theory, this study explores the psychological mechanism underlying impulse purchase in short videos that differentiates the traditional web shopping by the strong sense of presence in short video marketing. On the basis of a questionnaire survey and three laboratory experiments, this study examines the relationship among (...) presence, customer inspiration, and impulse purchase intention. The empirical results point to the fact that social presence, co-presence, and physical presence have significant positive effects on impulse purchase intention, and customer inspiration mediates the effect of social presence, physical presence, and co-presence on impulse purchase intention. Furthermore, it is indicated that social and co-presence have stronger influences on impulse purchase intention than physical presence, thus proving a stronger effect of social factors on impulse purchase intention than physical factors in short video environment. The research results testify the impact of presence on consumer behavior in the upgrading short video marketing and provide valuable reference for marketing strategies to shorten consumers' decision-making time in short video purchase. (shrink)

In this study, we propose a way to link the scholarly contents of scientific papers by constructing a knowledge graph based on the semantic organization of argumentation units and relations in scientific papers. We carried out an argumentation graph data model aimed at linking multiple discourses, and also developed a semantic annotation platform for scientific papers and an argumentation graph visualization system. A construction experiment was performed using 12 articles. The final argumentation graph has 1,262 nodes and 1,628 edges, including (...) 1,628 intra-article relations and 190 inter-article relations. Knowledge evolution representation, strategic reading, and automatic abstracting use cases are presented to demonstrate the application of the argumentation graph. In contrast to existing knowledge graphs used in academic fields, the argumentation graph better supports the organization and representation of scientific paper content and can be used as data infrastructure in scientific knowledge retrieval, reorganization, reasoning, and evolution. Moreover, it supports automatic abstract and strategic reading. (shrink)

Serial entrepreneurship is a very common phenomenon in the world. Research on serial entrepreneurs is the core of understanding entrepreneurship and entrepreneurs, such as, why entrepreneurs insist on starting businesses many times? What affects the sustainability of entrepreneurship? Based on the interpretive structure model of systems engineering, this study constructs a hierarchical model of the factors affecting serial entrepreneurial intention, which proposed the basic conditions, key factors, and paths affecting serial entrepreneurial intention. Based on this, the hierarchical model of factors (...) affecting serial entrepreneurial intention is also tested through a typical serial entrepreneurial case. The results show that: there are 16 factors affecting serial entrepreneurial intention, and each factor plays a role at a specific level; entrepreneurial expectations and identification and evaluation of opportunities are the key factors affecting serial entrepreneurial intention. We can improve the ability of the identification and evaluation of opportunities through entrepreneurial failure learning, and form reasonable entrepreneurial expectations; entrepreneurial cognitive schema and behavioral addiction tendency directly affect entrepreneurs’ identification and evaluation of opportunities; demographic factors, financial conditions, environmental conditions, and entrepreneurial experience are the basic conditions that affect serial entrepreneurial intention indirectly through emotional perception and motivation factors. (shrink)

This study examined the relationship between maternal sense of parenting efficacy and parental stress in children with autism and the moderating effect of family interaction. A total of 263 mothers of children with autism were investigated with the Parenting Ability Scale, Family Interaction Scale, and Parental Stress Scale. The results showed that maternal sense of parenting efficacy significantly predicted parental stress in children with autism; and family interaction significantly moderated the relationship between maternal sense of parenting efficacy and parental stress (...) in children with autism, that is, when family interaction was lower than −1.54 standard deviation, the sense of parenting efficacy did not significantly predict parental stress. When family interaction was higher than −1.54 SD, parenting efficacy had a significant negative predictive effect on parenting stress. (shrink)

Objectives: To study the attitudes of both medical and non-medical students towards the do-not-resuscitate decision in a university in Hong Kong, and the factors affecting their attitudes.Methods: A questionnaire-based survey conducted in the campus of a university in Hong Kong. Preferences and priorities of participants on cardiopulmonary resuscitation in various situations and case scenarios, experience of death and dying, prior knowledge of DNR and basic demographic data were evaluated.Results: A total of 766 students participated in the study. There were statistically (...) significant differences in their DNR decisions in various situations between medical and non-medical students, clinical and preclinical students, and between students who had previously experienced death and dying and those who had not. A prior knowledge of DNR significantly affected DNR decision, although 66.4% of non-medical students and 18.7% of medical students had never heard of DNR. 74% of participants from both medical and non-medical fields considered the patient’s own wish as the most important factor that the healthcare team should consider when making DNR decisions. Family wishes might not be decisive on the choice of DNR.Conclusions: Students in medical and non-medical fields held different views on DNR. A majority of participants considered the patient’s own wish as most important in DNR decisions. Family wishes were considered less important than the patient’s own wishes. (shrink)

Piracy is the greatest threat facing the global music industry today. This study explores the effects of artist adoration and the perceived risk of being caught on the attitude and intention to engage in pirating a digital song among college students. The moderating effect of cultural environment factor is also examined. Experiments using between-group factorial designs were conducted in the United States and Taiwan. The results show that perceived risk of getting caught and cultural environment are important factors that can (...) significantly affect the attitude and intention toward downloading unauthorized music. In addition, a two-way (Perceived Risk ? Culture) and a three-way interaction in the model are also observed. (shrink)

We discuss the relation of the Theory of Event Coding (TEC) to a computational model of expert perception, CHREST, based on the chunking theory. TEC's status as a verbal theory leaves several questions unanswerable, such as the precise nature of internal representations used, or the degree of learning required to obtain a particular level of competence: CHREST may help answer such questions.

EDITOR’S ABSTRACTThis paper argues that we cannot determine with certainty the sequence of the two parts of the Laozi text: “Way” and “Virtue”. These two parts were originally written independently by Lao Zi and in an uncertain chronological order. They originally circulated separately, and were later combined differently by various editors. Thus emerged the two Laozi versions: The one with “Way” preceding “Virtue” has dominated the transmission; the alternative order can be retrieved from recently discovered sources such as the Mawangdui (...) Silk Manuscripts and Han Bamboo Slips. (shrink)

This study aimed to develop cross-domain deep learning courses of artificial intelligence in vocational senior high schools and explore its impact on students’ learning effects. It initially adopted a literature review to develop a cross-domain SPOC-AIoT Course with SPOC and the Double Diamond 4D model in vocational senior high schools. Afterward, it adopted participatory action research and a questionnaire survey and conducted analyses on the various aspects of the technology acceptance model by SmartPLS. Further, this study explored the impact on (...) the effects of deep learning and knowledge-ability learning of artificial intelligence after 16 weeks of course teaching among 36 Grade I students from the electrical and electronic group of a vocational senior high school. This study revealed that the four stages of the SPOC-AIoT Teaching Mode of the Double Diamond 4D model may effectively guide students to learn AIoT knowledge and skills. Based on the technology acceptance model, the analysis of learning and participation in SmartPLS indicated that this model conformed to the academic fitness requirements of the overall model. After learning with the SPOC-AIoT Teaching Mode, the learning effects of students in AIoT have been significantly improved to a positive aspect. Finally, some suggestions were put forward to promote the development of the SPOC-AIoT Teaching Mode Course in the future. (shrink)

AimOur study aimed to investigate the effect of social responsibility on the subjective well-being of volunteers for COVID-19 and to examine the mediating role of job involvement in this relationship.BackgroundNowadays, more and more people join volunteer service activities. As we all know, volunteer work contributes to society without any return. Volunteers often have a strong sense of social responsibility and reap subjective well-being in their dedication. Although research shows that social responsibility will drive them to participate in volunteer work actively, (...) it is less clear whether job involvement will impact their subjective well-being.MethodsThe data were collected in the precaution zone in Shanghai, China, from April to May 2022. A sample of 302 volunteers for COVID-19 completed the social responsibility scale, subjective well-being scale and job involvement scale in the form of an electronic questionnaire on their mobile phones. A structural equation model was adopted to verify the research hypotheses.ResultsSocial responsibility was significantly and positively related to volunteers’ subjective well-being and job involvement. Job involvement fully mediates the relationship between volunteers’ social responsibility and subjective well-being.ConclusionSocial responsibility is critical to predicting volunteers’ subjective well-being. Job involvement plays an intervening mechanism in explaining how social responsibility promotes volunteers’ subjective well-being. (shrink)

Based on social contagion theory, this study examines the mediating role of formalization of organizational structure between organizational identification and faculty conformity. It also analyzes the moderating role of conflict management style between organizational identification and faculty conformity, and formalization of organizational structure and faculty conformity in universities in Hunan province, China. Convenience sampling was employed to select the subjects, and 1,024 Chinese faculty members including teaching staff and administrative staff were surveyed online with the questionnaire consist of organizational identification (...) scale, organizational formalization scale, conflict management style scale, and faculty conformity scale. 1,000 valid respondents were collected and SPSS was used to analyze the data through descriptive analysis, analysis of variance, correlation analysis, and hierarchical multiple regression. The results showed that faculty members’ organizational identification had a positive effect on faculty conformity; formalization of organizational structure partially mediated the relationship between organizational identification and faculty conformity; and conflict management style positively moderated the relationship between organizational identification and faculty conformity and between formalization of organizational structure and faculty conformity. University administrators are often the initiators of conformity as they are responsible for formulating internal regulations. Therefore, they must monitor and coordinate workplace conflicts, resolve and guide faculty conformity, promote individual faculty members’ self-improvement, and foster steady organizational development. (shrink)

Resumo: Com o rápido desenvolvimento da sociedade da informação moderna, o Big Data (BD) trouxe grande comodidade à vida dos residentes. No contexto do BD, a aplicação da tecnologia da informação em diversas áreas tornou-se uma tendência. Através da transformação da filosofia educacional, a Gestão do Ensino Superior também assumiu novas características e gerou novos rumos de desenvolvimento. Este artigo explora as deficiências e razões do trabalho tradicional de Gestão de Esino Superior, aponta problemas atuais e explica a necessidade de (...) sua inovação. Também analisa as vantagens e o desenvolvimento da tecnologia BD no trabalho de gestão. Através das novas ideias, métodos e ferramentas trazidas pela tecnologia Big Data para a Gestão do Ensino Superior, foi demonstrado que a tecnologia BD apoiou o desenvolvimento de modalidades de ensino inovadoras, proporcionou um ambiente de aprendizagem positivo e reduziu os custos de gestão. Com base nas características do trabalho da Gestão e nas vantagens da tecnologia BD, foram realizadas pesquisas inovadoras para analisar a eficiência e o entusiasmo da aprendizagem dos alunos para ilustrar o efeito inovador desse trabalho. Os autres defendem que a tecnologia BD, incluindo Inteligência Artificial e gestão precisa e flexível, traz novas ideias, métodos e ferramentas para a GEstão, melhorando efetivamente a eficiência, aumentando a felicidade dos alunos e reduzindo os custos de gestão laboral. Ademais, apoiam o desenvolvimento de modelos de ensino inovadores, oferecem aos estudantes universitários um ambiente de aprendizagem positivo e reduzem os custos de gestão. (shrink)

The enormous scale of the available information and products on the Internet has necessitated the development of algorithms that intermediate between options and human users. These algorithms attempt to provide the user with relevant information. In doing so, the algorithms may incur potential negative consequences stemming from the need to select items about which it is uncertain to obtain information about users versus the need to select items about which it is certain to secure high ratings. This tension is an (...) instance of the exploration–exploitation trade‐off in the context of recommender systems. Because humans are in this interaction loop, the long‐term trade‐off behavior depends on human variability. Our goal is to characterize the trade‐off behavior as a function of human variability fundamental to such human–algorithm interaction. To tackle the characterization, we first introduce a unifying model that smoothly transitions between active learning and recommending relevant information. The unifying model gives us access to a continuum of algorithms along the exploration–exploitation trade‐off. We then present two experiments to measure the trade‐off behavior under two very different levels of human variability. The experimental results inform a thorough simulation study in which we modeled and varied human variability systematically over a wide rage. The main result is that exploration–exploitation trade‐off grows in severity as human variability increases, but there exists a regime of low variability where algorithms balanced in exploration and exploitation can largely overcome the trade‐off. (shrink)

With the rapid emergence of the technology of deep learning, it was successfully used in different fields such as the aquatic product. New opportunities in addition to challenges can be created according to this change for helping data processing in the smart fish farm. This study focuses on deep learning applications and how to support different activities in aquatic like identification of the fish, species classification, feeding decision, behavior analysis, estimation size, and prediction of water quality. Power and performance of (...) computing with the analyzed given data are applied in the proposed DL method within fish farming. Results of the proposed method show the significance of contributions in deep learning and how automatic features are extracted. Still, there is a big challenge of using deep learning in an era of artificial intelligence. Training of the proposed method used a large number of labeled images got from the Fish4Knowledge dataset. The proposed method based on suitable feature extracted from the fish achieved good results in terms of recognition rate and accuracy. (shrink)

In this paper, in order to achieve automatic defect identification for pneumatic pressure equipment, an improved feature extraction algorithm eddy current pulsed thermography is presented. The presented feature extraction algorithm contains four elements: data block selection; variable step search; relation value classification; and between-class distance decision function. The data block selection and variable step search are integrated to decrease the redundant computations in the automatic defect identification. The goal of the classification and between-class distance calculation is to select the typical (...) features of thermographic sequence. The main image information can be extracted by the method precisely and efficiently. Experimental results are provided to demonstrate the capabilities and benefits of the proposed algorithm in automatic defect identification. (shrink)

An increasing number of college students have taken out campus loans. This trend has had a negative impact on their learning and development. Using survey data about Chinese college students, this study explores the influence of a conspicuous identity and conformity on campus loan behavior and usage intention. Identify economics posits that identity is a key factor affecting individual behavior and decision-making. Differentiated identify is linked to differentiated social groups and constituted through specific value orientations, social norms and codes of (...) conduct. This study shows that college students with a conspicuous identity are more likely to take out campus loans and more willing to take out such loans in the following year. The discussion on heterogeneity shows that a conspicuous identity has significantly positive effects on campus loan behavior for students in groups with higher consumption and grade, while conformity has significantly positive effects on campus loan behavior when students are in lower-grade groups. Compared with students who have never used campus loans, students who have taken out are more willing to take them out again in the future. Finally, avoidance strategies of campus loan debt are provided from two perspectives, namely, identity construction and the classification of education. (shrink)