Undesirable Behavior Research Articles

Religious foundations of duty

It is noted that, simultaneously with the emergence and development of human society, the presence of certain general rules in regulating the behavior of members of society arises. Social life at all stages of its development required the presence of such rules with which we humans could coordinate our behavior and actions and count on a certain predictable result from such behavior or actions. At various stages of the development of society, these or other social regulators become a tool for ensuring such a need. Historically, social norms formed under the influence of requirements and patterns of development of primitive society become the first social regulator. To a greater extent, such societies normalized their focus on the duties of the individual by installing a large number of prohibitions that required members of the society to refrain from undesirable behavior.
 It is indicated that with the complication and branching of social relations in society, general social norms support the impetus for further development and are differentiated in the following form of social regulators, in particular, morality, religion, and law. In our opinion, this order of progression of the development of social regulators is correct and natural. That is, initially the individual in the first society is aware of his responsibility to this or that social association, which is engaged in the creation of moral obligations. Gradually, certain beliefs appear in the primitive society, which contribute to the emergence of religious duties, which do not exclude moral positions, but complement them and values in interaction with them. And only with the appearance of the first state entities, we can talk about introducing obligations into the legal field with their further legal consolidation. It is important to note that in the pre-state period of human development, which occupies a sufficiently long period of time, duties developed outside the law and arose in accordance with human nature, customary norms, traditions, religious dogmas or moral ideas, based on the simplest rules of interpersonal interaction. All these factors - religion, morality, customs and traditions, to a greater or lesser extent changed their role in shaping the future idea of duties, that is why we consider it necessary to investigate the foundations of the institution of duty, in particular through the prism of religious influence.

Validation of the Undesirable Behavior Strategies Questionnaire: Physical Educators’ Strategies within the Classroom Ecology

Abstract This study sought to propose the Undesirable Behavior Strategies Questionnaire – Physical Education (UBSQ-PE), based on Doyle, W. (1977). Paradigms for research on teacher effectiveness. Review of Research in Education, 5(1), 163–198. classroom ecology paradigm, and validate its use within Physical Education. 289 physical educators participated in the study (80 of them in the pilot study) and completed a survey evaluating the strategies they used across the classroom ecology task systems. An exploratory factor analysis proposed a four-factor solution that measured teachers’ strategies for Differentiation of Instruction, Interaction for Students, Classroom Management, and Interaction with Students and explained a cumulative 47.45% of the total explained variance (KMO = 0.809, χ 231 2 {\chi }_{231}^{2} = 1,266, 684, p < 0.001). A confirmatory factor analysis indicated a good fit of the data to the four-factor solution (χ2/df ratio = 1.52, comparative fit index = 0.906, Tucker Lewis index = 0.890, standardized root mean square residual = 0.079, root mean square error of approximation = 0.05), providing evidence for the instrument’s internal consistency. Multiple analyses of variance showed that there were differences in teachers’ strategies based on their gender, age, studies, professional knowledge, and school level. The use of UBSQ-PE asserts that teachers use undesirable behavior (UB) strategies according to their personal and professional characteristics. Teacher education programs could use this information for supporting PE teachers to adjust their UB strategies in response to each classroom’s interrelated task systems.

Do Humans Trust Robots that Violate moral trust?

The increasing use of robots in social applications requires further research on human-robot trust. The research on human-robot trust needs to go beyond the conventional definition that mainly focuses on how human-robot relations are influenced by robot performance. The emerging field of social robotics considers optimizing a robot’s personality a critical factor in user perceptions of experienced human-robot interaction (HRI). Researchers have developed trust scales that account for different dimensions of trust in HRI. These trust scales consider one performance aspect (i.e., the trust in an agent’s competence to perform a given task and their proficiency in executing the task accurately) and one moral aspect (i.e., trust in an agent’s honesty in fulfilling their stated commitments or promises) for human-robot trust. The question that arises here is to what extent do these trust aspects affect human trust in a robot? The main goal of this study is to investigate whether a robot’s undesirable behavior due to the performance trust violation would affect human trust differently than another similar undesirable behavior due to a moral trust violation. We designed and implemented an online human-robot collaborative search task that allows distinguishing between performance and moral trust violations by a robot. We ran these experiments on Prolific and recruited 100 participants for this study. Our results showed that a moral trust violation by a robot affects human trust more severely than a performance trust violation with the same magnitude and consequences.

Applying the Pressure: Exploring How Instructor Strictness Impacts Students’ Individual Classroom Experiences

ABSTARCT Students tend to think negatively of strict (i.e., inflexible) instructors. However, strictness as an instructional variable is not theoretically positioned as positive or negative; its impact likely varies depending on the person. To investigate this idea, the current study thematically analyzed narratives from 457 students about their interactions with strict instructors. Three themes were identified from a clustering of 8 sub-themes reflecting a wide range of outcomes in the wake of perceived strict behavior: (1) Mindset and Motivation, (2) Affective Responses, and (3) Relational Distance. Although strictness is generally viewed as an undesirable instructor behavior, its actual influence appeared to be mixed. Moreover, responses highlighted how perceptions of strictness may have an indirect impact on students’ actual learning.

Learning analytics in mathematics education: the case of feedback use in a digital classification task on reflective symmetry

Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and effectiveness, as what matters is how learners interact with it. Therefore, our research questions are focused on that interaction. The data consisted of 266 object movements for classifying polygons, and 524 shape movements for classifying traffic signs, under the topic of symmetry. Participants included 29 elementary school students (9–12 years old) from Israel and Germany. Analyzing students’ success, feedback use, and the associations between them, we demonstrate how not acting upon feedback is negatively associated with success, and how this undesired behavior slightly reduces along the learning process.

Safety analysis of evaluation and acceptance processes for space systems and operations based on system-theoretic approach

The proposed analysis consists of identifying systemic aspects that can influence safety and mission fulfillment in the Evaluation and Acceptance Processes of Space Systems and Operations for Launch through the application of System-Theoretic Process Analysis, a technique capable of identifying potential hazardous design and operational flaws, including system design errors and unsafe interactions among multiple procedures and system components. This research identifies losses, hazards, system-level safety constraints, the control structure of the general system, unsafe control actions, loss scenarios that could occur and related causal factors, detecting improvement possibilities for future verifications, evaluations, approvals, and acceptances of space systems and launch operations. These findings can promote safety in space system designs and operations, supporting the activities conducted by launch vehicle and payload developers, certification authorities, and launch centers management, enabling means to proactively act in order to mitigate risks, avoiding unsafe actions and undesired system behaviors, or even to mitigating their consequences. The practical applications of this work can result in safety and mission fulfillment improvements for safety management systems, launch approval regulations and standards; launch operation procedures; space systems design; vehicle, payload, and ground support equipment productions; systems testing; and launch authorization processes.

Individual differences in spite predict costly third-party punishment.

Spiteful behaviors are those aimed at inflicting harm on another person while also incurring a cost to the self. Although spite sometimes reflects destructive and socially undesirable behaviors including aggression, the current work sought to examine a potentially socially beneficial aspect of spite: engagement in costly punishment for selfish behavior. Four studies used a costly third-party punishment task and measured individual differences in spite, narcissism, Machiavellianism, psychopathy, and motivations for engaging in punishment. Trait spite was positively associated with costly punishment of selfish behavior. That association was independent of other dark personality traits (narcissism, Machiavellianism, psychopathy) and was statistically mediated by a desire for retribution. One of the studies also provided evidence that trait spite was associated with costly punishment of even generous behavior; however, rather than a desire for retribution, that association was mediated by a desire to threaten the person being punished. Punishing selfishness and other forms of wrongdoing plays an essential role in cooperative group living. The current work provides new insight into the role spiteful motivations might play in this crucial social behavior.

How to evaluate uncertainty estimates in machine learning for regression?

As neural networks become more popular, the need for accompanying uncertainty estimates increases. There are currently two main approaches to test the quality of these estimates. Most methods output a density. They can be compared by evaluating their loglikelihood on a test set. Other methods output a prediction interval directly. These methods are often tested by examining the fraction of test points that fall inside the corresponding prediction intervals. Intuitively, both approaches seem logical. However, we demonstrate through both theoretical arguments and simulations that both ways of evaluating the quality of uncertainty estimates have serious flaws. Firstly, both approaches cannot disentangle the separate components that jointly create the predictive uncertainty, making it difficult to evaluate the quality of the estimates of these components. Specifically, the quality of a confidence interval cannot reliably be tested by estimating the performance of a prediction interval. Secondly, the loglikelihood does not allow a comparison between methods that output a prediction interval directly and methods that output a density. A better loglikelihood also does not necessarily guarantee better prediction intervals, which is what the methods are often used for in practice. Moreover, the current approach to test prediction intervals directly has additional flaws. We show why testing a prediction or confidence interval on a single test set is fundamentally flawed. At best, marginal coverage is measured, implicitly averaging out overconfident and underconfident predictions. A much more desirable property is pointwise coverage, requiring the correct coverage for each prediction. We demonstrate through practical examples that these effects can result in favouring a method, based on the predictive uncertainty, that has undesirable behaviour of the confidence or prediction intervals. Finally, we propose a simulation-based testing approach that addresses these problems while still allowing easy comparison between different methods. This approach can be used for the development of new uncertainty quantification methods.

"We do not go outside, though We want to": Unequal Access to Public Transport and Transport-Related Social Exclusion of Older Adults in Dhaka, Bangladesh.

This study investigated key physical and social barriers to accessing public transport in Dhaka, Bangladesh, and how the unequal accessibility of transport leads to the social exclusion of older adults. Employing a transport disadvantage perspective and drawing on visual surveys and in-depth interviews, the study explores the context and lived experiences of older adults using public transport in their everyday lives. Difficulty in accessing buses due to overcrowding and congestion, struggling to get on rickshaws due to height, avoiding CNG (an autorickshaw) and cabs due to high fares, disliking Laguna (a small four-wheeler human haulier for carrying passengers) for compact seating arrangements, undesirable behavior, and social attitudes discourage older adults from participating in social activities and produce a feeling of social isolation and exclusion. Hence, more inclusive transport policies are essential in low- and middle-income countries to reduce transport-related social exclusion and improve the well-being of older adults.

The attitudes and practices of United Arab Emirates consumers towards food waste: A nationwide cross-sectional study.

Reducing global food waste is an international environmental, health, and sus-tainability priority. Although significant reductions have been achieved across the food chain, progress by UAE households and consumers remain inadequate. This study seeks to understand the association between consumer attitudes, knowledge, and awareness relating to food waste practice of residents living in the UAE. to help inform policy and action for addressing this national priority. A cross-sectional study was conducted using a validated semi-structured online questionnaire through stratified sampling (n =1052). The Spearman correlation coefficient was performed to determine the correlations. Two independent regression analysis were used to determine the association between food waste practice with: 1) knowledge and awareness and attitude subdomains, and 2) sociodemographic characteristics. Respondents (n=1072) largely reflect the socio-demographic characteristics and population distribution across the seven Emirates. As expected, a significant and negative correlation was found between food waste practice knowledge and awareness and overall attitude. The regression models showed reduced food waste practice was associated with better knowledge, personal attitude, financial attitude (first model), older age and fewer adults in the household (second model). We found a significant and negative association of personal attitude (a commitment, intention), financial attitude (cost-saving motivation), and (existing) knowledge of Food waste (FW) with practice of food waste, indicating that better knowledge about FW, personal attitude or financial attitude was associated with reduction in undesirable food waste practice. While awareness and emotional attitude (moral concerns) were positively and significantly associated with food waste practice (undesirable behaviour). Food waste poses significant challenges in the UAE, and addressing it requires a comprehensive understanding of the multifaceted factors influencing consumer behavior. By promoting knowledge, fostering positive attitudes, and considering socio-cultural factors, policymakers can develop effective strategies to reduce food waste in households and contribute to sustainable development goals.

Использование электронного коммуникативного приложения на основе PECS в работе с детьми с нарушениями развития. Кейс-исследование

<p><strong>Objectives. </strong>The use of alternative and augmented communication in children and adults with developmental disabilities significantly improves the skills necessary for successful social adaptation and learning. The article analyzes the results of using the PECS IV+ tablet communication app in several children with different types of developmental disabilities. <strong>Methods. </strong>Three children with different types of developmental disabilities (including autism, cognitive impairments etc.) aged 5–6 years took part in this case study. Participants study in the preschool department of the “My Planet” Inclusive Center. To test the effects and effectiveness of using the PECS IV+ application, a multiple-baseline design was used. We analyzed the transition from the analog version of PECS to the tablet application. The dependent variables were the number mands (non-verbal request behavior) and episodes of problem behavior. In addition, we calculated the d-Cohen effect size for each participant. <strong>Results. </strong>The average number of requests increased in the intervention phase in two out of three participants, medium effect of changes between phases is recorded for all participants. In terms of the number of episodes of problem behavior, a significant decrease was detected in two of the participants. The strong size of the effect of changes in this parameter between phases was revealed in two of the three participants. <strong>Conclusion. </strong>The study suggests that when using the e-application, the study participants showed reductions in some types of undesirable behaviours, as well as successful requesting skills.</p>

Unethical Behaviors: What Supervisors Need to Know

Unethical behaviors by supervisors in the workplace not only jeopardize the reputation of the affected organization but also have devastating effects on these organizations' ability to provide quality services to their customers and other stakeholders. This paper investigates unethical behavior in the workplace done by the supervisors, examining its impact, severity levels, and the actions taken to address such misbehavior. Data were collected from 69 employees of both public and private institutions using descriptive procedures. The results exposed a range of unethical behaviors perpetrated by supervisors. Supervisors that demonstrated unethical behavior included mistrust, disdain for rules and regulations, indecisiveness, making warranted demands, giving out too many tasks, not listening, and not owning up to mistakes. It has also been discovered that these unethical behaviors hinder professional growth and development, reduce productivity, strain relationships, lower performance, increase employee turnover, and pose risks of legal accountability. Moreover, undesirable behavior in the workplace is more common than what other participants think. Some employees try to correct those encountered undesirable behaviors on their own accord while others choose to ignore the issue. These actions taken by employees show that maintaining healthy work environment is their consideration and priority when at work. Such actions also show concern to the health of the organization.

The relationship between resilience and parental behaviours: The moderating role of parent and child age

AbstractThe present study investigates the relationship between resilience and parental behaviours and examines the moderating role of parent and child age in this relationship. The cross‐sectional descriptive study was conducted with a sample of 204 parents of children aged 6 months to 12 years. The Resilience Assessment Scale and the Parenting Behaviours and Dimensions Questionnaire were used. The findings confirmed the existence of a positive relationship between parental resilience and desirable parental dimensions and a negative association with undesirable behaviours towards children. However, overall resilience was not associated with anxious intrusiveness. The moderating effect confirmed that parental age played a moderating role between resilience and punitive behaviours. Child age moderated the relationship between resilience and emotional warmth, permissiveness and anxious intrusiveness. The results of the study indicate the importance of positive resources, such as resilience, and demographic variables, such as parental and child age, in the development of positive parenting.

Case study on the implementation of a psychosocial risk management program in the organizational environment

Psychosocial risks, along with their significant and relevant impact, are often unrecognized by workers and management. Indicators of psychosocial risks at the individual and organizational level are often ignored or attributed to unfortunate events. Thus undesirable behaviors in organizations, such as absenteeism; inadvertent blunders; negligence; work accidents; reduced performance; as well as early resignation or death, which leads to staff turnover, are motivated by individual indicators such as: aggression, irritability, concentration difficulties, mistakes, forgetfulness, self-depreciation, anxiety, depression, mood disorders, alcoholism, drug addiction, gambling addiction etc. which, in fact, can be effects of exposure to psychosocial risks. By presenting a case study we aim to gain an in-depth understanding of the approaches/theories/models that are needed to comprehensively explain how psychosocial risks arise and their impact on employees in the workplace.

Improved corrosion resistance and mechanical properties of severely deformed ZM31 alloy

The hexagonal close-packed (HCP) crystal structure of Mg alloys lead to poor formability as well as other undesirable mechanical behaviors in an otherwise highly sought-after alloy for commercial use. This study investigates the evolution of microstructure, texture, corrosion and mechanical behaviors in Mg–Zn–Mn (ZM31) alloy after processing using Equal Channel Angular Pressing (ECAP). Dynamic recrystallization was evident in the ECAP-processed samples, correlated with a substantial fiber structure, and resulted in the attainment of notable grain refinement and high lattice strain. Average grain sizes of 2.2 and 2 μm were achieved via 2 and 4-Pass Bc processing, respectively. This significant refinement yielded lower corrosion rates through enhancement of the thickness, coherency, and stability of formed protective oxide layers. The corrosion rate in the NaCl medium was substantially enhanced by 99.5% after four passes via route Bc. The recrystallized fine structure was found to have contributed to yield strength, ultimate strength, and microhardness improvements. Deformation enhanced yield and ultimate strengths by 132% and 64%, respectively. The distinctive grain refinement mechanism exhibited through the current ECAP procedure has potential to pave the way for novel and impactful utilizations of ZM31 in industries that demand exceptional mechanical and corrosion performance.

Assessing How Rewards and Sanctions Shape Employee Performance at Rocky Plaza Hotel in Padang

This study investigates the implications of reward and punishment mechanisms on employee performance, focusing on the unique context of Rocky Plaza Hotel in Padang. Drawing on insights from organizational psychology and management studies, the study explores the dynamics between reward and punishment strategies and their influence on the hotel's workforce. The research employs a quantitative approach, involving data collection from 121 hotel employees through direct communication, questionnaires, interviews, and documentation. The study establishes the significance of effective reward systems in enhancing employee motivation and job satisfaction, contributing to improved performance and productivity. Conversely, the application of sanctions or punishments is found to deter undesirable behaviors, fostering a more disciplined and efficient work environment. The hotel implements a range of reward systems, including recognition programs, performance bonuses, and promotions, along with various forms of punishments such as verbal or written warnings, salary deductions, and demotions. The study recommends fostering a supportive work environment through leadership initiatives and suggests avenues for future research to explore additional variables and alternative research methods.

Process Algebraic Approach for Probabilistic Verification of Safety and Security Requirements of Smart IoT (Internet of Things) Systems in Digital Twin

Process algebra can be considered one of the most practical formal methods for modeling Smart IoT Systems in Digital Twin, since each IoT device in the systems can be considered as a process. Further, some of the algebras are applied to predict the behavior of the systems. For example, PALOMA (Process Algebra for Located Markovian Agents) and PACSR (Probabilistic Algebra of Communicating Shared Resources) process algebras are designed to predict the behavior of IoT Systems with probability on choice operations. However, there is a lack of analytical methods in the algebras to predict the nondeterministic behavior of the systems. Further, there is no control mechanism to handle undesirable nondeterministic behavior of the systems. In order to overcome these limitations, this paper proposes a new process algebra, called dTP-Calculus, which can be used (1) to specify the nondeterministic behavior of the systems with static probability, (2) verify the safety and security requirements of the nondeterministic behavior with probability requirements, and (3) control undesirable nondeterministic behavior with dynamic probability. To demonstrate the feasibility and practicality of the approach, the SAVE (Specification, Analysis, Verification, Evaluation) tool has been developed on the ADOxx Meta-Modeling Platform and applied to a SEMS (Smart Emergency Medical Service) example. In addition, a miniature digital twin system for the SEMS example was constructed and applied to the SAVE tool as a proof of concept for Digital Twin. It shows that the approach with dTP-Calculus on the tool can be very efficient and effective for Smart IoT Systems in Digital Twin.

Fairness aware deep reinforcement learning for grant-free NOMA-IoT networks

Next generation networks have special areas related with the Internet of Things (IoT) to improve the performance of cellular networks in terms of throughput. Grant-free non-orthogonal multiple access (GF-NOMA) seems a feasible solution, letting machine type communication (MTC) devices transmits their packets when they ready to transmit. GF-NOMA increases the spectral efficiency by using the superimposing signals with different power levels over the same time and frequency resources. However, the main drawbacks of GF-NOMA are randomness and the management of power level selection of MTC devices. In 6G-IoT networks, the intelligence should be met to random access. It is time to design new access methods to solve the GF-NOMA issues that should be between the randomness and fully coordinated medium access. Deep-Q-Network (DQN) has become a very hot research topic in recent years that let the MTC devices to make a smart decision in an intelligent way to improve the throughput. Selfishness is an undesirable behavior of DQN for GF-NOMA system where the resources have different cost. In this study, we develop a novel learning framework for power domain GF-NOMA. The goal of our learning framework is to maximize the throughput considering fairness in power consumption which provides long-life to the IoT network. The learning algorithm push the MTC devices to exchange the resources between each other over time. The results show that the proposed method outperform the NOMA scheme with random selection in terms of throughput and increase the fairness index when the DQN with selfish behavior is employed.

The Impact of Development of Financial Technology on China’s Economy

The development of financial technology (FinTech) has an important role in the present economy. It not only drove overall economic consumption through innovative service models and financial tools, but also helped people return to a normal rhythm of life to a certain extent during the COVID-19 epidemic by helping offline operations shift to online services, online offices, online teaching, and other innovative approaches. In addition, it plays a very important role in social governance and promotes social stability. This paper focuses on analyzing the impact of FinTech on industrial structure, upgrading in consumption structure and social governance, and argues that society, government and the market need not only to develop and apply FinTech correctly, but also to implement development policies according to local conditions. In this way, it can better play its positive role in promoting economic development, and at the same time, it is also necessary to strengthen supervision and regulation to prevent the growth of undesirable behavior.

Grain boundary network plasticity: Reduced-order modeling of deformation-driven shear-coupled microstructure evolution

Microstructural evolution in structural materials is known to occur in response to mechanical loading and can often accommodate substantial plastic deformation through the coupled motion of grain boundaries (GBs). This can produce desirable behavior, such as increased ductility, or undesirable behavior such as mechanically-induced coarsening. In this work a novel, multiscale model is developed for capturing the combined effect of plasticity mediated by multiple GBs simultaneously. This model is referred to as “grain boundary network plasticity”. The mathematical framework of graph theory is used to describe the microstructure connectedness, and the evolution of microstructure is represented as volume flow along the graph. By using the principle of minimum dissipation potential, which has previously been applied to grain boundary migration, a set of evolution equations are developed that transfer volume and eigendeformation along the graph edges in a physically consistent way. It is shown that higher-order geometric effects, such as the pinning effect of triple points, may be accounted for through the incorporation of a geometric hardening that causes geometry-induced GB stagnation. The result is a computationally efficient reduced order model that can be used to simulate the initial motion of grain boundaries in a polycrystal with parameters informed by atomistic simulations. The effectiveness of the model is demonstrated through comparison to multiple bicrystal atomistic simulations, as well as a select number of GB engineered and non-GB engineered data obtained from the literature. The effect of the network of shear-coupling grain boundaries is demonstrated through mechanical response tests and by examining the yield surfaces.