Against the backdrop of a global pandemic, this study investigates how U.S. higher education leaders have centered their crisis management on values and guiding ethical principles. We conducted 55 in-depth interviews with leaders from 30 U.S. higher education institutions, with most leaders participating in two interviews. We found that crisis plans created prior to the COVID-19 pandemic were inadequate due to the long duration and highly uncertain nature of the crisis. Instead, higher education leaders applied guiding principles on the fly (...) to support their decision-making. If colleges and universities infuse shared values into their future crisis plans, they will not have to develop a moral compass on the fly for the next pandemic. This paper suggests the following somewhat universal shared values: engage in accuracy, transparency, and accountability; foster deliberative dialog; prioritize safety; support justice, fairness, and equity; and engage in an ethic of care. To navigate ethics tensions, leaders need to possess crisis-relevant expertise or ensure that such expertise is present among crisis management team members. Standing up formal ethics committees composed of diverse stakeholders also is instrumental in navigating tensions inherent in crises. The next pandemic is already on the horizon according to experts. Through infusing values into future crisis plans, higher education leaders can be confident that their responses will be grounded in their communities’ shared values. (shrink)

Customer citizenship behavior in the online shopping environment is vital to the success of e-retailers. However, it is unclear whether and how service recovery expectation and recovery justice predict customer citizenship behavior in e-retailing settings. Grounded on the expectation confirmation theory and social exchange theory, this study examined the influence of service recovery expectation and recovery justice on customer citizenship behavior with a serial mediation of recovery expectation confirmation and post-recovery satisfaction. A total of 774 samples from e-shoppers with most (...) impressive and most recent service recovery experience were collected to test the hypotheses using structural equation modeling and bootstrapping procedures. This study reveals that service recovery expectation has a negative impact on recovery expectation confirmation, while recovery justice positively affects recovery expectation confirmation, which is further positively correlated with post-recovery satisfaction and customer citizenship behavior. Moreover, recovery expectation confirmation and post-recovery satisfaction play a serial mediation in the relationship between service recovery expectation and recovery justice, and customer citizenship behavior. Our study contributes to the growing body of customer citizenship behavior literature by offering an alternative perspective to understand what encourage or impede customer citizenship behavior, and expands service recovery literature by combining service recovery expectation and recovery justice into a framework and revealing the expectation–confirmation mechanism through which they influence post-recovery satisfaction in online shopping setting. (shrink)

We explore corporate environmental accountability by examining how carbon emissions affect voluntary climate-related information disclosure based on TCFD principles. Using computerized textual analysis to measure such climate-related disclosure, our results show that firms with higher levels of carbon emissions disclose more climate-related information. This relation is stronger in firms belonging to carbon-intensive industries, such as energy, materials, and utilities. We also examine this relationship at the category level for Governance, Strategy, Risk Management, and Metrics and Targets, finding that carbon emissions (...) drive disclosure in all categories except in Governance. Overall, our findings indicate that high carbon emitting firms appear to discharge their corporate accountability by increasing climate-related disclosure, consistent with legitimizing their potentially unethical actions and submitting to stakeholder and societal pressure. (shrink)

Cellular reprogramming can manipulate the identity of cells to generate the desired cell types1– 3. The use of cell intrinsic components, including oocyte cytoplasm and transcription factors, can enforce somatic cell reprogramming to pluripotent stem cells4– 7. By contrast, chemical stimulation by exposure to small molecules offers an alternative approach that can manipulate cell fate in a simple and highly controllable manner8– 10. However, human somatic cells are refractory to chemical stimulation owing to their stable epigenome2,11,12 and reduced plasticity13,14; it (...) is therefore challenging to induce human pluripotent stem cells by chemical reprogramming. Here we demonstrate, by creating an intermediate plastic state, the chemical reprogramming of human somatic cells to human chemically induced pluripotent stem cells that exhibit key features of embryonic stem cells. The whole chemical reprogramming trajectory analysis delineated the induction of the intermediate plastic state at the early stage, during which chemical-induced dedifferentiation occurred, and this process was similar to the dedifferentiation process that occurs in axolotl limb regeneration. Moreover, we identified the JNK pathway as a major barrier to chemical reprogramming, the inhibition of which was indispensable for inducing cell plasticity and a regeneration-like program by suppressing pro-inflammatory pathways. Our chemical approach provides a platform for the generation and application of human pluripotent stem cells in biomedicine. This study lays foundations for developing regenerative therapeutic strategies that use well-defined chemicals to change cell fates in humans. (shrink)

BackgroundInstitutional Review Boards (IRBs) play a vital role in safeguarding the rights and interests of both research participants and researchers. However, China initiated the establishment of its own IRB system relatively late in comparison to international standards. Despite commendable progress, there is a pressing need to strengthen the organizational capacity building of Chinese IRBs. Hence, this study aims to analyze the key factors driving the enhancement of organizational capacity within these committees.MethodThe cross-sectional survey for this research was conducted from July (...) 2020 to January 2022. Following the statistical grouping based on the "2020 China Health Statistical Yearbook", a systematic investigation of IRBs in various provinces of China was carried out. In-depth interviews and questionnaire surveys were conducted with the chairpersons and administrative executives (or secretaries) of highly cooperative IRBs. Subsequently, data were collected from 107 IRBs. Qualitative Comparative Analysis (QCA) was employed as the method to analyze the factors influencing the organizational capacity of medical ethics committees and explore the diverse combinations of these factors.ResultsThrough a singular necessary condition analysis, the variable "protection of rights and interests" emerges as a critical factor contributing to the robust construction of Institutional Review Boards Institutional Review Boards (IRBs). Conversely, the variables of "lack of member ability, absence of review process, and deficiency in the supervision mechanism" collectively constitute a sufficient condition leading to weaker IRB construction. The state analysis uncovers three interpretation modes: member ability-oriented (M1), system process-oriented mode (M2), and resource system-oriented mode (M3).ConclusionsThe results of this study are effectively explicable using the "Triangular Force" model proposed for the hypothesis of IRBs' organizational capacity, which provides a solid foundation for the development of organizational capabilities in IRBs. To enhance the organizational capacity of IRBs in China, it is imperative to elevate the competence of committee members and strengthen team development. This can be achieved by establishing a comprehensive regulatory framework and refining procedural protocols. Moreover, clarifying the organizational structure and optimizing resource allocation are essential steps in bolstering the overall organizational capabilities of these committees. (shrink)

Context: There is still no detailed defence of Goodman’s starmaking constructivism against the objection Boghossian presented in his 2006 book, Fear of Knowledge. Problem: I defend Goodman’s constructivism against the problem of stuff raised by Boghossian, that is, that constructivism requires unconstructed stuff and thus cannot explain all features in the world. Method: I argue that there is a way out for constructivists when they face the problem of stuff. Constructivists can choose to accept a constructivist-friendly worldview and the problem (...) of stuff does not hold in this worldview. Goodman already provides hints for such a worldview in his works. I articulate the worldview in detail and argue that it does not have obvious faults. Results: I show that starmaking constructivism does not have the problem of stuff at least under a certain tenable worldview. Implications: The constructivist-friendly worldview and related novel ideas could be used to defend starmaking constructivism against other objections in Boghossian’s book and is helpful in answering other philosophical questions such as the mind-matter problem and modality. Constructivist content: This article may contribute to reviving Goodman’s starmaking constructivism. (shrink)

The constructivist worldview divides all features in the world into purported external properties and the totality of experience and argues that they are all constructed. The constructivist worldview can also answer the problem of time and explain how the construction chain comes from nothing. Compared with the realist worldview, the constructivist worldview has multiple advantages.

BackgroundNurses working in the intensive care unit clung tenaciously to their job during the COVID-19 pandemic in spite of enduring stressed psychological and physical effects as a result of providing nursing care for the infected patients, which indicates that they possessed a high degree of professionalism and career calling. The aim of this study was to explain the associations between resilience, thriving at work, and ethical leadership influencing the calling of ICU nurses.MethodsFrom December 2020 to January 2021 during the COVID-19 (...) pandemic, a cross-sectional survey of 15 provinces in China was conducted using an online questionnaire. A total of 340 ICU nurses completed sufficient responses to be used in the study. Sociodemographic factors, job demographic factors, resilience, calling, thriving at work, and ethical leadership were assessed using the questionnaire. General linear modeling, hierarchical linear regression analysis, and generalized additive model were performed to examine all the considered research hypotheses.ResultsResilience was positively and significantly associated with calling. Moreover, thriving at work partially mediated the relationship between resilience and calling. The indirect effect of resilience on calling was 0.204, and the direct effect of resilience on calling through thriving at work was 0.215. The total effect of resilience on calling was 0.419. In addition, ethical leadership played a moderating role in the relationship between resilience and calling.ConclusionGreater resilience can positively predict increased calling among Chinese ICU nurses during the COVID-19 pandemic. Moreover, thriving at work is a mechanism that partly transmits the positive effects of resilience on calling. Overall, nurses possessing greater resilience tend to maintain thriving at work in the face of such adversity, further resulting in subsequently increased calling. Besides, findings suggest that there is stronger influence of resilience on calling among nurses working in an organization managed by an ethical leader. The current findings may offer two insights for nursing practitioners and policymakers in the postpandemic world. First, resilience training and intervention are necessary to foster nurses' sense of thriving at work in the nursing industry, further promoting career calling. Second, better training and effort on the development of ethical leadership for leaders in nursing practice are essential to encourage followers to engage in social learning of ethical behaviors and abiding by normatively appropriate conduct, further enacting prosocial values and expressing moral emotions. (shrink)

This study mainly focuses on the emotion analysis method in the application of psychoanalysis based on sentiment recognition. The method is applied to the sentiment recognition module in the server, and the sentiment recognition function is effectively realized through the improved convolutional neural network and bidirectional long short-term memory model. First, the implementation difficulties of the C-BiL model and specific sentiment classification design are described. Then, the specific design process of the C-BiL model is introduced, and the innovation of the (...) C-BiL model is indicated. Finally, the experimental results of the models are compared and analyzed. Among the deep learning models, the accuracy of the C-BiL model designed in this study is relatively high irrespective of the binary classification, the three classification, or the five classification, with an average improvement of 2.47% in Diary data set, 2.16% in Weibo data set, and 2.08% in Fudan data set. Therefore, the C-BiL model designed in this study can not only successfully classify texts but also effectively improve the accuracy of text sentiment recognition. (shrink)

One Road One Belt has made a drastic change not only to the lives of people but also to their minds and future prospective. This initiative has connected not only countries but has consolidated trading patterns. It has not only impacted physical trade but has also boosted the e-commerce of China. Therefore, this study has tried to find the major patterns of trading across the globe and digital commerce considering the factors of production. China, being the cheapest country for manufacturing, (...) has excelled in the e-commerce as well. The targeted population for this study was contractors, marketers, logistic service providers, and engineers. The sample size in this study was 329. Data collection was done through a survey developed on the Likert scale. The software used for the data analysis was Smart-PLS for structural equation modeling. Findings of the study show that factors of production and international trade have an impact on e-commerce. Moreover, the foreign policy and international relations have also been found to have a significant role in e-commerce. (shrink)

Because they are key components of aircraft, improving the safety, reliability and economy of engines is crucial. To ensure flight safety and reduce the cost of maintenance during aircraft engine operation, a prognostics and health management system that focuses on fault diagnosis, health assessment, and life prediction is introduced to solve the problems. Predicting the remaining useful life is the most important information for making decisions about aircraft engine operation and maintenance, and it relies largely on the selection of performance (...) degradation features. The choice of such features is highly significant, but there are some weaknesses in the current algorithm for RUL prediction, notably, the inability to obtain tendencies from the data. Especially with aircraft engines, extracting useful degradation features from multisensor data with complex correlations is a key technical problem that has hindered the implementation of degradation assessment. To solve these problems, deep learning has been proposed in recent years to exploit multiple layers of nonlinear information processing for unsupervised self-learning of features. This paper presents a deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic regression. The stacked sparse autoencoder is used to automatically extract performance degradation features from multiple sensors on the aircraft engine and to fuse multiple features through multilayer self-learning. Logistic regression is used to predict the remaining useful life. However, the hyperparameters of the deep learning, which significantly impact the feature extraction and prediction performance, are determined based on expert experience in most cases. The grid search method is introduced in this paper to optimize the hyperparameters of the proposed aircraft engine RUL prediction model. An application of this method of predicting the RUL of an aircraft engine with a benchmark dataset is employed to demonstrate the effectiveness of the proposed approach. (shrink)

A tracking control algorithm of nonlinear multiple agents with undirected communication is studied for each multiagent system affected by external interference and input saturation. A control design scheme combining iterative learning and adaptive control is proposed to perform parameter adaptive time-varying adjustment and prove the effectiveness of the control protocol by designing Lyapunov functions. Simulation results show that the high-precision tracking control problem of the nonlinear multiagent system based on adaptive iterative learning control can be well realized even when the (...) input is saturated. Finally, the validity of the proposed algorithm is verified by numerical analysis. (shrink)

This study investigates the cultural and ideological underpinnings of educational leadership within higher education institutions (HEIs) and assesses their impact on fostering innovation in teaching and management. Our research reveals a nuanced relationship between varied leadership styles, institutional cultures, and the drive for innovation. Notably, transformational leadership aligns strongly with innovative outcomes and a collaborative institutional ethos, in contrast to the more rigid structures associated with authoritarian and laissez-faire leadership styles. The philosophical core of this inquiry lies in examining how (...) leadership practices embody and promote ethical values that influence collective and individual success. Institutions that cultivate a culture of collaboration and are open to embracing risk are found to be more conducive to innovation. In contrast, settings that emphasize rigid hierarchies and prioritize individual achievement tend to stifle creative and innovative practices. Our findings emphasize the crucial role of leaders in shaping an ethical climate that nurtures innovation. Effective leadership is pivotal in fostering an environment supportive of progressive teaching and management strategies. This includes investing in faculty development, enhancing collaborative efforts, and acknowledging academic excellence. Moreover, the strategic integration of technology and a shift towards student-centred learning are identified as essential for advancing innovative teaching practices. By delving into the philosophical and ethical dimensions of educational leadership, this study contributes to a deeper understanding of how leadership rooted in ethical and collaborative values can profoundly impact educational innovation and success. The insights gained underscore the potential for educational leaders to drive significant change by adhering to philosophically and ethically sound practices. (shrink)

Aristotle’s account of voluntariness (to hekousion) lacks a sufficiently precise positive definition of ‘voluntary’. This is a problem: in Aristotle’s ethics, voluntariness is an important and unifying joint between psychological (character) and practical matters (action). I contend that Aristotle implicitly defines voluntariness as positive causal relation to an agent’s desire, where one’s character is the state of one’s faculty of desire. Since desires always have particular ends (final causes), a voluntary action is one which originates in the agent’s desire for (...) that action’s end. Using this interpretation, I answer questions about ‘mixed’ actions, culpable ignorance, and non-voluntariness. Without this interpretation, these questions cannot be systematically answered. (shrink)

I argue that conventionalists should construe a posteriori necessity as restricted necessity. I take Sidelle’s defence of the conventionalist explanation of a posteriori necessity against the contingency problem as the starting point. Sidelle construes a posteriori necessity as unrestricted necessity and then argues that a posteriori necessity is to be considered under a fixed convention and is thus irrelevant to the contingent nature of our linguistic conventions. I offer a different solution to the contingency problem. I argue that conventionalists should (...) construe a posteriori necessity as restricted necessity based upon a use-based meta-semantic picture. Restricted necessity is contingent in a broader sense and does not conflict with the contingency of conventions. My solution allows conventionalists to explain a posteriori necessity as restricted necessity. I show that the realist’s arguments for a posteriori necessity are unconvincing in regard to real modal features and a posteriori necessity as unrestricted necessity. We thus have good reason to continue to accept a posteriori necessity as restricted necessity under the conventionalist explanation. (shrink)

It is widely accepted that quid pro quo or favoritism exists in bookbuilding IPOs where the securities underwriter has share allocation discretion, and that auctioned IPOs should be largely free from quid pro quo because the underwriter does not have share allocation discretion. Using proprietary data on IPO auctions from China and a regulatory regime change on share allocation, we show that when the share allocation rule shifts from pro rata to lottery draw (that makes quid pro quo valuable to (...) a bidder), mutual fund families having stronger pre-shift brokerage commission ties with the underwriter submit bids later, place more strategic bids, have more bids qualified for the allocation round, and are more likely to receive share allocation than other fund families. These patterns are not apparent in fund families that possess a robust business culture. The evidence is consistent with the existence of quid pro quo in IPO auctions facilitated by the underwriter’s leakage of confidential bidding information in some fund family and underwriter pairs. This unethical practice not only creates conflicts of interest, jeopardizes fair play, but also discourages information production and affects accurate valuation. (shrink)

Context: Some scholars have put forward constructivist world models in which the purported external world is constructed from experience (i.e., there is a constructive relation between them. However, scholars disagree about whether experience is generated by the brain and results from the perception of the purported external world (i.e., whether there are generative relations and perceptual relations. Problem: Do we need to maintain perceptual relations or generative relations in a constructivist world model? Method: I propose a world model where our (...) world is composed of a large number of screen creatures, and this is compared with the world model in the irrealist virtual world theory. There is a constructive relation in both world models, but only the second world model contains generative and perceptual relations. I provide reasons to doubt that the world model in the irrealist virtual world theory can provide sufficient reasons for involving generative or perceptual relations. Results: We should accept the world model composed of screen creatures as the model of our world; we do not need to retain perceptual or generative relations in a constructivist world model. Implications: This article points out that perceptual relations stem from a misunderstanding of certain correlations between experiences. This will generate some new ideas when considering the mind-matter problem. Constructivist content: This article discusses how to deal with generative and perceptual relations using constructivist world models. (shrink)

I explain the world of screen creatures by virtue of our familiar environment and the notion of the experiential world. My explanation is meant to strengthen the argument for the view that the constructivist world model does not need the perceptual relation. I also demonstrate that the experiential world is complete, meaning that every type of phenomenon can be explained within this realm.

Focusing on the dual-channel supply chain with live broadcasts selling, this paper investigates the service overflow of live broadcasts with Stackelberg game perspective and the impact of retailers’ different market potentials on the pricing decisions of dual-channel members. Meanwhile, it also evaluates the pricing strategy of online retailers after introducing KOL live broadcasts. The results show that when one of the dual-channel retailers adopts live broadcast sales, the live broadcast service overflow will have an adverse impact on it, but the (...) degree of the impact depends on the market potential of supply chain members, and different power structures can be used to offset the adverse impact of live broadcast service overflow. Then, the live broadcast sales service overflow will have a certain beneficial impact on online retailers under certain circumstances. Furthermore, with the increase of live broadcast sales service overflow, the retail prices of both companies will decline, while the live broadcast sales service overflow is more beneficial for consumers. (shrink)

Based on the conservation of resource theory, this manuscript explores the impact mechanism of the challenge and hindrance stressors on innovation performance, introduces emotional atmosphere as a mediation variable, and on this basis, it examines the moderating role of organizational climate on emotional atmosphere and innovation performance. A two-wave survey of 263 subordinates and 29 supervisors who come from multisource field offered support for our model. Results showed that challenge stressors have a positive effect on innovation performance, positive emotional atmosphere (...) mediates the relationship between challenge stressors and innovation performance; hindrance stressors have a negative effect on innovation performance, and negative emotional atmosphere mediates the relationship between hindrance stressors and innovation performance. Organizational climate strengthens the positive relationship between positive emotional atmosphere and innovation performance and weakens the negative relationship between negative emotional atmosphere and innovation performance. This study enriches the existing literature by identifying the impact of stressors on employee innovation performance and has certain practical significance for optimizing the management of enterprises and improving employee innovation performance. (shrink)

Most current online distributed machine learning algorithms have been studied in a data-parallel architecture among agents in networks. We study online distributed machine learning from a different perspective, where the features about the same samples are observed by multiple agents that wish to collaborate but do not exchange the raw data with each other. We propose a distributed feature online gradient descent algorithm and prove that local solution converges to the global minimizer with a sublinear rate O 2 T. Our (...) algorithm does not require exchange of the primal data or even the model parameters between agents. Firstly, we design an auxiliary variable, which implies the information of the global features, and estimate at each agent by dynamic consensus method. Then, local parameters are updated by online gradient descent method based on local data stream. Simulations illustrate the performance of the proposed algorithm. (shrink)

In late 2019, the COVID-19 pandemic began to spread over the world, causing millions of deaths. In the first few months of the pandemic, several countries prevented the spread of the pandemic successfully. By contrast, the pandemic in many other countries was not controlled well. For example, India encountered a second serious outbreak of COVID-19 from April 2021 due to the poor resistance measures implemented by the government. To figure out the effective countermeasures to the pandemic, this research proposes a (...) COVID-19 pandemic and its response system, which consists of the infection subsystem, the quarantine subsystem, and the medical subsystem. On this basis, an improved SEIR-SD model is established which is utilized to analyze the response measures to the pandemic quantitatively. This model successfully simulates the actual epidemic scenarios in Wuhan, which verifies its effectiveness. Afterward, the impact of hospital administration rate, quarantine rate, average contact number, and contact infection rate on the cumulative number of infections and deaths are analyzed by simulation. The results show that both the medical and administrative efforts, especially in the early stage of the epidemic, are significant in reducing the number of infections and shortening the epidemic period. In the medical aspect, the more stringent quarantine brings the earlier inflection point of the epidemic; more importantly, improving the treatment rate significantly reduces the scale of the epidemic. In the administrative aspect, enforcing individual protection and strict community closure can effectively cut off the transmission of the virus and curb the spread of the epidemic. Finally, this research proposes several practical suggestions in response to the COVID-19 pandemic. The main contribution of this research is that the effects of different response measures on the number of new infections daily and the cumulative number of deaths of a country or region in the COVID-19 pandemic are estimated quantitatively based on modeling and simulation. (shrink)

Government subsidies have a direct impact on firms' innovation strategies. The game relationship between the government, the subsidized firm and its competitors under different subsidy strategies affects firms' innovation behavior and thus innovation performance. This paper uses a dynamic evolutionary game theory approach based on cost-benefit differences to analyse the mechanisms by which government subsidy strategies affect firms' innovation strategies. It is found that the marginal benefits of a firm's innovation strategy will directly affect the game outcome, indicating that the (...) choice of innovation strategy depends on the maximization of individual firm's interests. At the same time, a firm's innovation strategy is influenced by the firm's own innovation ability and competitors' innovation strategy, and there are two game equilibria. Government subsidies have a positive contribution to the innovation strategy choice of subsidized firms, but have a crowding-out effect on non-subsidized competing firms. The strength of the penalty, the marginal revenue of the subsidized firms' rational use of government subsidies and the competitors' strategic choices will directly affect the game outcome. (shrink)

Objective: Stand-to-sit task is an important daily function, but there is a lack of research evidence on whether knee osteoarthritis affects the postural balance during the task. This study aimed to compare individuals with knee OA and asymptomatic controls in postural balance and identify kinematic and lower extremity muscle activity characteristics in individuals with knee OA during the stand-to-sit task.Methods: In total, 30 individuals with knee OA and 30 age-matched asymptomatic controls performed the 30-s Chair Stand Test at self-selected speeds. (...) Motion analysis data and surface electromyography were collected while participants performed the 30sCST. To quantify postural balance, the displacement of the center of mass and the peak instantaneous velocity of the CoM were calculated. The kinematic data included forward lean angles of the trunk and pelvic, range of motion of the hip, knee, and ankle joints in the sagittal plane. The averaged activation levels of gluteus maximus, vastus lateralis, vastus medialis, rectus femoris, biceps femoris, tibialis anterior, and medial head of gastrocnemius muscles were indicated by the normalized root mean square amplitudes.Results: Compared with the asymptomatic control group, the knee OA group prolonged the duration of the stand-to-sit task, demonstrated significantly larger CoM displacement and peak instantaneous CoM velocity in the anterior-posterior direction, reduced ankle dorsiflexion RoM, greater anterior pelvic tilt RoM, and lower quadriceps femoris and muscles activation level coupled with higher BF muscle activation level during the stand-to-sit task.Conclusion: This study indicates that individuals with knee OA adopt greater pelvic forward lean RoM and higher BF muscle activation level during the stand-to-sit task. However, these individuals exist greater CoM excursion in the anterior-posterior direction and take more time to complete the task. This daily functional activity should be added to the rehabilitation goals for individuals with knee OA. The knee OA group performs reduced ankle dorsiflexion RoM, quadriceps femoris, and TA activation deficit. In the future, the rehabilitation programs targeting these impairments could be beneficial for restoring the functional transfer in individuals with knee OA. (shrink)

Drawing on the theory of cognitive-affective processing system and that of construal level, we propose a moderated mediation model illustrating the relationship among abusive supervision, shame, construal level, and work withdrawal. We tested this model with a two-source time-lagged survey of 387 employees from 129 work teams in central and East China. Results revealed that abusive supervision had a positive association with the emotion of shame and supported the mediating role of shame linking abusive supervision to work withdrawal. Besides, our (...) findings supported the buffering effect of construal level on the shame-work withdrawal relationship as well as the indirect relationship between abusive supervision and work withdrawal channeled through the emotion of shame. (shrink)

Plant cytokinesis results in the formation of the cell plate by the phragmoplast which contains dynamic microtubules serving as the track for the delivery of cell wall builders included in Golgi vesicles. During the centrifugal process of cell plate assembly, new microtubules are assembled and bundled at the leading edge to prepare for vesicle transport while older microtubules are disassembled at the lagging edge upon the completion of vesicle delivery. The turnover of phragmoplast microtubules in this process is thought to (...) be regulated by phosphorylation of the key microtubule bundling factor MAP65. A recent study revealed a surprising role of the α‐Aurora kinase, which is typically known for its role in governing the formation of the bipolar spindle apparatus, in phosphorylating the primary microtubule bundler MAP65‐3 in Arabidopsis. This phosphorylation positively contributes to the expansion of the phragmoplast. The phragmoplast midzone is also the hub for other cytokinesis‐important kinases. It is intriguing how these kinases are targeted and how they may crosstalk with each other to orchestrate the expansion of the phragmoplast. (shrink)

Internet of thing building sensors can capture several types of building operations, performances, and conditions and send them to a central dashboard to analyze data to support decision-making. Traditionally, laptops and cell phones are the majority of Internet-connected devices. IoT tracking allows customers to close the distance between devices and enterprises by collecting and analyzing various IoT data through connected devices, customers, and applications on the network. There is a lack of requirements for IoT edge applications security and approval. There (...) are no best practices regarding operations focused on IoT incidents. IoT elements are not covered by audit and logging requirements. In this article, a big data analytics-based customer operation system analyzes the operation. With the exponential rise in data usage, the explosive development in the IoT devices reflects the ideal overlap of big data growth with IoT. Big data analytics continuously evolving network raises trivial questions about the performance, distribution of data, analysis, and protection of data collection. IoT modifies almost all the construction industry characteristics. Human-centered artificial intelligence is described as systems that always improve because of human input while also delivering an effective experience between the human and the robotic. The IoT is the key factor that ensures greater building performance. It was the first evolution of technology in a long time to turn genuine inventions into an industry that depended heavily on paper and manual processes. The benefits of the IoT in construction are now quite obviously much heavier than those of current manual processes. As a result, more construction companies explore and incorporate IoT strategies to address their productivity challenges, increasing efficiencies and profits. The simulation analysis shows that the proposed BDA-CO model enhances the trust score of 98.5%, accuracy detection ratio of 93.4%, probability ratio of 97.6%, and security ratio of 98.7% and reduces the false negative ratio of 21.3%, response time of 10.5%, delay rate of 19.9%, and packet loss ratio of 15.4% when compared to other existing techniques. (shrink)

In this paper, we propose a time-delayed predator-prey model with Holling-type II functional response, which incorporates the gestation period and the cost of fear into prey reproduction. The dynamical behavior of this system is both analytically and numerically investigated from the viewpoint of stability, permanence, and bifurcation. We found that there are stability switches, and Hopf bifurcations occur when the delay τ passes through a sequence of critical values. The explicit formulae which determine the direction, stability, and other properties of (...) the bifurcating periodic solutions are given by using the normal form theory and center manifold theorem. We perform extensive numerical simulations to explore the impact of some important parameters on the dynamics of the system. Numerical simulations show that high levels of fear have a stabilizing effect while relatively low levels of fear have a destabilizing effect on the predator-prey interactions which lead to limit-cycle oscillations. We also found that the model with or without a delay-dependent factor can have a significantly different dynamics. Thus, ignoring the delay or not including the delay-dependent factor might result in inaccurate modelling predictions. (shrink)

Accurate and rapid defect identification based on pulsed eddy current testing plays an important role in the structural integrity and health monitoring of in-service equipment in the renewable energy system. However, in conventional data-driven defect identification methods, the signal feature extraction is time consuming and requires expert experience. To avoid the difficulty of manual feature extraction and overcome the shortcomings of the classic deep convolutional network, such as large memory and high computational cost, an intelligent defect recognition pipeline based on (...) the general Warblet transform method and optimized two-dimensional DCNN is proposed. The GWT method is used to convert the one-dimensional PECT signal to a 2D grayscale image used as the input of 2D DCNN. A compound method is proposed to optimize the baseline VGG16, a well-known DCNN, from four aspects including reducing the input size, adding batch normalization layer after every convolutional layer and fully connection layer, simplifying the FCs, and removing unimportant filters in Convs so as to reduce memory and computational costs while improving accuracy. Through a pulsed eddy current testing experiment considering interference factors including liftoff and noise, the following conclusion can be obtained. The time-frequency representation obtained by the GWT method not only has excellent ability in terms of the transient component analysis but also is less affected by the reduction of image size; the proposed optimized DCNN can accurately identify defect types without manual feature extraction. And compared to the baseline VGG16, the accuracy obtained by the optimized DCNN is improved by 7%, to about 99.58%, and the memory and computational cost are reduced by 98%. Moreover, compared with other well-known DCNNs, such as GoogLeNet, Inception V3, ResNet50, and AlexNet, the optimized network has significant advantages in terms of accuracy and computational cost, too. (shrink)

This study combined conservation of resources theory with the job demands-resources model to explore the influence of leader mindfulness on the emotional exhaustion of university teachers Using a time-lagged research design, 388 paired data sets were gathered. Multiple regression and bootstrapping were used to test each hypothesis. The results showed that first, leader mindfulness significantly reduces the emotional exhaustion of university teachers. Second, the results showed that workplace telepressure partially mediates the relationship between leader mindfulness and the emotional exhaustion of (...) university teachers. Third, university teacher mindfulness positively moderates the relationship between leader mindfulness and workplace telepressure. Finally, the results of this study indicate that self-efficacy in managing negative emotions negatively moderates the relationship between workplace telepressure and the emotional exhaustion of university teachers. This study empirically examined the interpersonal influence of leader mindfulness and the initial resources effect of university teacher mindfulness and self-efficacy in managing negative emotions from the bilateral perspective of leaders and university teachers. (shrink)