Regulation Theory Research Articles

Economic impacts of regulatory decisions on reit dividend distribution

Real estate investment trusts (REITs) have recently gained prominence in the capital market. From an accounting point of view, the Maxi Renda Trust (MXRF11) has been the subject of recent discussions and contradictory decisions within the scope of the Brazilian Securities and Exchange Commission (CVM) regarding the calculation basis for the dividend distribution. In this context, we sought to investigate the economic impacts of fair value measurement under the framework of CVM’s decisions in the Maxi Renda Trust and to verify how the theory of regulation can explain regulatory body decisions. The trust income for the period from 2015 to 2021 was restated based on the cash basis, used by the trust, and the accrual method, determined by the CVM, in order to identify differences in the amount of income that would be distributed with the change in the methodology issued by the regulatory agency. Also, an analysis of CVM’s decisions and the trust’s administrator’s arguments was also conducted, to identify elements that could be correlated with the regulatory body’s performance under the aspects of the theory of regulation. As a result, it was demonstrated that there is an economic impact on the minimum income calculated to be distributed by the trust between the two methodologies (cash and accrual), with smaller amounts for distribution considering the accrual basis, which exclude revenues and expenses that do not transit through cash, as is the case of fair value measurement. CVM’s decisions may have resonance in the public interest theory so that the regulatory body’s performance was aimed at protecting the investor, even though it may have suffered pressures exerted by interest groups or even captured by the regulated parties since it changed the initial understanding of the case. Besides the theoretical contribution, with the possibility of expanding studies on the applicability of accounting standards related to the measurement of fair value in investment trusts and their economic impacts, the study applied to the Maxi Renda Trust provides a better understanding of the topic to subsidize investors regarding decision making on investments in this type of trust.

Action-oriented entrepreneurial training and career resilience: a serial mediation model

PurposeThe combination of action and process has remained the attention of the psychology of entrepreneurship research. Moreover, special attention has also been paid to the whens and hows of entrepreneurial psychological training. Keeping this in view the current study has tested the impact of individual entrepreneurial orientation (IEO) training on small business entrepreneurial career resilience. Using action regulation theory (ART), a serial mediation model of IEO behaviour and entrepreneurial career adaptability is hypothesised.Design/methodology/approachThis study used a longitudinal randomised controlled field experiment in which the data were collected at four points. A total of 546 small business owners from Lahore, Pakistan, participated in this research (training group = 265, control group = 281). The data were analysed using ANCOVAs and PROCESS Model 6.FindingsThe research has found that IEO training impacts the entrepreneurial career resilience of small business owners through the development of IEO behaviour and career adaptability.Originality/valueThis experimental inquiry is a novel attempt to extend the career-related outcomes of IEO training (career resilience) based on ART through the mediating role of IEO behaviour and career adaptability. In addition, it has tested the IEO training in the developing country of Pakistan, which is a relevant context for enhancing its socio-economic growth.

Decentralised finance, regulation, and systems theory

Cryptocurrency has sparked expressions of concern from regulators – though sometimes coupled with expressions of interest in state-backed alternatives. This paradoxical situation neatly encapsulates the conundrum confronting regulators as they seek to come to terms with the new world opened up by blockchain and leading ultimately perhaps to decentralised finance. How do we best understand this confusing situation? This paper looks for answers by attempting to conceptualise the phenomenon of decentralised finance in autopoietic systems terms. Insofar as a plausible argument can be made for the proposition that finance represents an example of the internal differentiation of the economy, does decentralised finance in some sense constitute an intensified internal differentiation? Alternatively, and paradoxically, insofar as what we are concerned with is decentralised finance, does it instead in some sense represent an example of dedifferentiation? Answers to these questions will have relevance for efforts to regulate this emerging phenomenon. They will also help to shed light on whether state and central bank experiments in this space will produce positive effects or bring their own challenges. La criptomoneda ha suscitado la preocupación de los reguladores, aunque a veces ha ido acompañada del interés expresado sobre algunas alternativas respaldadas por el Estado. Esta paradójica situación resume a la perfección el enigma al que se enfrentan los reguladores cuando tratan de aceptar el nuevo mundo abierto por la cadena de bloques y que, en última instancia, quizá conduzca a unas finanzas descentralizadas. ¿Cuál es la mejor manera de entender esta confusa situación? Este artículo busca respuestas intentando conceptualizar el fenómeno de las finanzas descentralizadas en términos de sistemas autopoiéticos. En la medida en que se puede argumentar de forma plausible que las finanzas representan un ejemplo de la diferenciación interna de la economía, ¿constituyen las finanzas descentralizadas, en cierto sentido, una diferenciación interna intensificada? Por otra parte, y paradójicamente, en la medida en que tratamos sobre finanzas descentralizadas, ¿representan en cierto sentido un ejemplo de desdiferenciación? Las respuestas a estas preguntas serán relevantes para los esfuerzos por regular este fenómeno emergente. También ayudarán a arrojar luz sobre si los experimentos del Estado y los bancos centrales en este espacio producirán efectos positivos o nuevos desafíos.

Impact of Dietary Factors on Metabolic Disorders in Animals: A Case of Uganda

Purpose: The aim of the study was to investigate impact of dietary factors on metabolic disorders in Animals in Uganda Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that metabolic disorders such as obesity, insulin resistance, and fatty liver syndrome are prevalent among various livestock species in Uganda. The role of dietary components, including energy content, nutrient composition, and the presence of anti-nutritional factors, in contributing to the development and severity of these disorders cannot be understated. Moreover, socio-economic and environmental factors such as limited access to quality forage and the effects of climate change exacerbate the situation, posing additional challenges to maintaining optimal metabolic health in Ugandan livestock Unique Contribution to Theory, Practice and Policy: Nutritional Balancing Theory & Homeorhetic Regulation Theory may be used to anchor future studies on Impact of dietary factors on metabolic disorders in Animals in Uganda. Implement evidence-based dietary interventions tailored to the specific needs of different livestock species in Uganda. These interventions should aim to optimize nutrient composition, balance energy intake, and minimize the presence of anti-nutritional factors in animal feed. Promote the adoption of sustainable agricultural practices that enhance access to quality forage and mitigate the impact of climate change on animal nutrition. This may include strategies such as agroforestry, rotational grazing, and the cultivation of drought-resistant forage crops. Develop and enforce regulations governing the composition and labeling of animal feed in Uganda to ensure the quality and safety of feed ingredients. These regulations should include guidelines for the appropriate use of supplements, additives, and feed additives to minimize the risk of metabolic disorders in animals.

Communication topology for AUV formation consensus based on optimal cost control under time-varying communication and input delays

This study investigates the optimal communication topology for consensus in autonomous underwater vehicle (AUV) formations, considering both leader-following and leaderless scenarios. Initially, a second-order dynamic model of the AUV is established using the feedback linearization method. To address time-varying delays, a universal predictor-based consensus protocol is introduced, capable of operation with or without a designated leader. Subsequently, two global quadratic cost functions are formulated based on distinct consensus errors. Utilizing linear quadratic regulator (LQR) theory and matrix theory, the optimal communication topologies and associated gain matrices are deduced. Specifically, for leader-following AUV formations, the optimal communication topology is identified as an unevenly weighted star-shaped directed spanning tree. Conversely, for leaderless formations, the optimal topology adopts a complete digraph, which indicates high interaction requirements. To accommodate practical constraints, a suboptimal topology is devised, featuring a directed spanning tree. These findings offer a theoretical framework for selecting communication topologies in AUV formations, with numerical examples provided to validate the proposed approaches.

The enhancement of astaxanthin production in Phaffia rhodozyma through a synergistic melatonin treatment and zinc finger transcription factor gene overexpression.

Astaxanthin has multiple physiological functions and is applied widely. The yeast Phaffia rhodozyma is an ideal source of microbial astaxanthin. However, the stress conditions beneficial for astaxanthin synthesis often inhibit cell growth, leading to low productivity of astaxanthin in this yeast. In this study, 1 mg/L melatonin (MT) could increase the biomass, astaxanthin content, and yield in P. rhodozyma by 21.9, 93.9, and 139.1%, reaching 6.9 g/L, 0.3 mg/g DCW, and 2.2 mg/L, respectively. An RNA-seq-based transcriptomic analysis showed that MT could disturb the transcriptomic profile of P. rhodozyma cell. Furthermore, differentially expressed gene (DEG) analysis show that the genes induced or inhibited significantly by MT were mainly involved in astaxanthin synthesis, metabolite metabolism, substrate transportation, anti-stress, signal transduction, and transcription factor. A mechanism of MT regulating astaxanthin synthesis was proposed in this study. The mechanism is that MT entering the cell interacts with components of various signaling pathways or directly regulates their transcription levels. The altered signals are then transmitted to the transcription factors, which can regulate the expressions of a series of downstream genes as the DEGs. A zinc finger transcription factor gene (ZFTF), one of the most upregulated DEGs, induced by MT was selected to be overexpressed in P. rhodozyma. It was found that the biomass and astaxanthin synthesis of the transformant were further increased compared with those in MT-treatment condition. Combining MT-treatment and ZFTF overexpression in P. rhodozyma, the biomass, astaxanthin content, and yield were 8.6 g/L, 0.6 mg/g DCW, and 4.8 mg/L and increased by 52.1, 233.3, and 399.7% than those in the WT strain under MT-free condition. In this study, the synthesis and regulation theory of astaxanthin is deepened, and an efficient dual strategy for industrial production of microbial astaxanthin is proposed.

CONVERGENCE IN THE FIELD OF ECONOMICS AND LAW: CORRELATION OF PROCESSES

The activities of the modern state are carried out taking into account the trends inherent in the global community. One of the driving forces behind these trends is the strengthening of economic integration due to the increasing role of finance in the world economy, the effects of globalisation, liberalisation, concentration and centralisation of financial capital, which have shaped the new shape of the modern economic system. The integration of the world economy requires the integration of law in accordance with generally recognised norms and principles at the international level. The international character of law is an external circumstance that determines the facts of legal regulation of the convergence of states and peoples, their economies, cultures and ideologies. Convergence leads to the convergence of different legal systems and economic models. These circumstances indicate the existence of a global phenomenon that can be described as the process of economic and legal convergence. The subject of the study is the patterns of convergence in the field of economics and law. The authors aim to study the genesis of the convergence theory, identify the main trends and prospects for the development of convergence in the current environment, and explain the patterns of convergence in the field of economics and law in the context of globalisation. The methodological basis of the research is the theory of economic and legal convergence, the theory of state regulation of the economy, the theory of socio-economic systems and economic growth developed in the works of domestic and foreign economists, lawyers and philosophers. The study of basic economic and legal institutions is carried out on the basis of the dialectical method, general scientific methods of abstraction, analysis, synthesis and systematic approach. The research of certain issues was carried out using special methods: historical, comparative, interpretation of law, logical and legal, as well as methods of specific economic research, etc. The authors analyse certain issues of economic and legal convergence in terms of their historical formation, relevance, efficiency and prospects for application. Results. Convergence in the field of economics and law is a process of interaction of relevant elements both within national systems and economic and legal systems of different states, characterised by convergence, an increase in the number of links between the elements of converging objects and a certain degree of consistency of the impact of these elements on social relations. On the basis of the study, the authors believe that the use of convergence processes in the field of economics and law at the global level should be carried out only in a harmonious manner, creating common balanced results based on a unifying model of coherent cooperation of the subjects of these processes.

Individual entrepreneurial orientation training: an experimental insight into small business owner career success

PurposeBased on action regulation theory (ART), this study aims to test the impact of individual entrepreneurial orientation (IEO) training on small business owner career success (financial attainment, satisfaction and achievement). Moreover, this relationship was unpacked through a dual mediation model of IEO behaviour and career resilience.Design/methodology/approachA four-wave, longitudinal randomized controlled field experiment was conducted in which 527 small business owners participated from Lahore, Pakistan (training group = 256, control group = 271). The data analysis was done via ANCOVAs (group comparison) and PROCESS Model 6 (for serial mediation).FindingsThe results demonstrated that after getting IEO training, the small business owners had increased IEO behaviour, career resilience and career success as compared to their counterparts in the control group. In addition, the effect of IEO training on career success was attributed to the underlying role of IEO behaviour and career resilience development.Originality/valueThis is one of the few studies that have demonstrated the impact of IEO training on the career-related outcomes based on the action regulation perspective.

Longitudinal Relationships Between Bullying Victimization and Dual Social Behaviors: The Roles of Self-Compassion and Trauma-Related Shame.

Bullying victimization is a serious issue among college students, which might affect the development of their social behaviors. Based on the theory of stress and coping and emotion regulation theory, the present study examined the mediating role of self-compassion and trauma-related shame between bullying victimization and cyber aggression/prosocial behavior. We gathered self-reporting data on bullying victimization, self-compassion, trauma-related shame, cyber aggression, and prosocial behavior from 634 college students in China using a three-wave longitudinal design survey. Structural equation modeling was used to test temporal mediation. The results showed that bullying victimization predicted cyber aggression and prosocial behavior via trauma-related shame and the chain effect of self-compassion and trauma-related shame. Moreover, self-compassion also mediated the relationship between bullying victimization and prosocial behavior. The study revealed the different emotional processes that underlie both bullying victimization and different social behaviors. It also contributes to more effective prevention and intervention measures for the social adaptation of bullied students.

Psychological Effects of Music in Exercise and Sports Performance

Purpose: The general purpose of this study was to examine the psychological effects of music in exercise and sports performance.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to technology and traditional arts in modern sporting events. Preliminary empirical review revealed that music significantly influences psychological states during physical activity. It found that music with faster tempos and motivational lyrics enhanced arousal, mood, and performance outcomes such as endurance and coordination. Additionally, personalized music interventions tailored to individual preferences maximized the performance-enhancing effects of music. The study emphasized the importance of considering both psychological and physiological responses to music in designing effective interventions for optimizing performance outcomes and promoting exercise adherence. Overall, the findings highlighted the intricate relationship between music and exercise performance and suggested potential avenues for future research in this area.
 Unique Contribution to Theory, Practice and Policy: Theory of Arousal Regulation, Self-Determination Theory (SDT) and Attentional Focus may be used to anchor future studies on psychological effects of music in exercise and sports performance. The study provided comprehensive recommendations that contributed to theory, practice, and policy in the field. Through theoretical development, the study refined existing frameworks such as the Theory of Arousal Regulation and Self-Determination Theory, deepening our understanding of how music influences psychological states in athletic contexts. Practical guidelines were established to integrate music into athlete preparation routines, emphasizing personalized playlists and warm-up protocols to optimize performance outcomes. Policy implications highlighted the need to institutionalize music-based interventions in sports programs, promoting athlete well-being and enjoyment. Furthermore, the study identified future research priorities, evaluation frameworks, and public health initiatives to advance the integration of music into exercise and sports settings, fostering physical activity participation and overall health.

Catgut embedding in acupoints combined with repetitive transcranial magnetic stimulation for the treatment of postmenopausal osteoporosis: study protocol for a randomized clinical trial.

To date, the clinical modulation for bone metabolism based on the neuro-bone mass regulation theory is still not popular. The stimulation of nerve systems to explore novel treatments for Postmenopausal osteoporosis (PMOP) is urgent and significant. Preliminary research results suggested that changes brain function and structure may play a crucial role in bone metabolism with PMOP. Thus, we set up a clinical trial to investigate the effect of the combination of repetitive transcranial magnetic stimulation (rTMS) and catgut embedding in acupoints (CEA) for PMOP and to elucidate the central mechanism of this neural stimulation in regulating bone metabolism. This trial is a prospective and randomized controlled trial. 96 PMOP participants will be randomized in a 1:1:1 ratio into a CEA group, an rTMS group, or a combined one. Participants will receive CEA, rTMS, or combined therapy for 3 months with 8 weeks of follow-up. The primary outcomes will be the changes in Bone Mineral Density scores, total efficiency of Chinese Medicine Symptoms before and after treatment. Secondary outcomes include the McGill Pain Questionnaire Short-Form, Osteoporosis Symptom Score, Mini-Mental State Examination, and Beck Depression Inventory-II. The leptin, leptin receptor, and norepinephrine levels of peripheral blood must be measured before and after treatment. Adverse events that occur during the trial will be recorded. CEA achieves brain-bone mass regulation through the bottom-up way of peripheral-central while rTMS achieves it through the top-down stimulation of central-peripheral. CEA combined with rTMS can stimulate the peripheral-central at the same time and promote peripheral bone mass formation. The combination of CEA and rTMS may play a coordinating, synergistic, and side-effect-reducing role, which is of great clinical significance in exploring better treatment options for PMOP.Clinical trial registration: https://www.chictr.org.cn/, identifier ChiCTR2300073863.

Bioinspired Interfacial Friction Control: From Chemistry to Structures to Mechanics.

Organisms in nature have evolved a variety of surfaces with different tribological properties to adapt to the environment. By studying, understanding, and summarizing the friction and lubrication regulation phenomena of typical surfaces in nature, researchers have proposed various biomimetic friction regulation theories and methods to guide the development of new lubrication materials and lubrication systems. The design strategies for biomimetic friction/lubrication materials and systems mainly include the chemistry, surface structure, and mechanics. With the deepening understanding of the mechanism of biomimetic lubrication and the increasing application requirements, the design strategy of multi-strategy coupling has gradually become the center of attention for researchers. This paper focuses on the interfacial chemistry, surface structure, and surface mechanics of a single regulatory strategy and multi-strategy coupling approach. Based on the common biological friction regulation mechanism in nature, this paper reviews the research progress on biomimetic friction/lubrication materials in recent years, discusses and analyzes the single and coupled design strategies as well as their advantages and disadvantages, and describes the design concepts, working mechanisms, application prospects, and current problems of such materials. Finally, the development direction of biomimetic friction lubrication materials is prospected.

Conceptualizing employees' behavioral pattern changes by experiencing customer mistreatment: Integrating moral self‐regulation and dual process model perspectives

AbstractThis conceptual paper has two aims. The first is to explain how frontline employees' workplace sabotage initially occurs when frontline employees experience perceived mistreatment from customers. Moral outrage arises among frontline employees and mediates the relationship between customer mistreatment and workplace sabotage. The second aim is to address changes in frontline employees' behavioral patterns during working hours. Initial negative workplace behaviors (workplace sabotage) are more likely to shift to good behavior (organizational citizenship behavior toward customer; OCB‐customer) due to a need for moral cleansing, but will eventually revert to negative behaviors (additional workplace sabotage) as continuous customer mistreatment increases stress. To understand this process, moral‐self regulation theory and the dual process model are introduced to support the conceptual model. Implications and future research directions are also discussed.

Catalytic dehydrogenation cracking characteristics of vacuum residue over solid basic catalyst

The basic calcium aluminate with appropriate catalytic cracking activity, excellent anti-coking performance, and hydrothermal stability is of great potential for the utilization of heavy oil. However, there is a lack of systematic research on the catalytic dehydrogenation cracking characteristics of vacuum residue (VR) over solid basic catalyst. Thus, by combining the TG and Py-GC/MS methods, the dehydrogenation cracking behavior of S-VR was investigated. The results indicated that S-VR cracking on calcium aluminate leads to less coking and higher olefin content in liquid products compared with FCC catalyst and quartz sand. Then, the activation energy Ea is computed from the catalytic dehydrogenation cracking of S-VR on calcium aluminate. The results show that the Ea values from Friedman and OFW methods range from 68 to 143 kJ∙mol−1 and 114 to 192 kJ∙mol−1, respectively. After that, the molecular-level carbon number distributions of the products obtained from cracking S-VR on different reaction conditions are investigated, and the optimal reaction temperature and the heating rate are 650 °C and 1000 °C/s, respectively. Finally, the free radical regulation theory was constructed to explain the catalytic dehydrogenation cracking mechanism of basic calcium aluminate catalyst.

What motivates bridge building across pernicious group divides? The effects of regulatory motives, framing, and fit on increasing constructive engagement across political and racial divisions

IntroductionToday, the U.S. and countless other democracies have found themselves dangerously divided across political and racial-ethnic differences. Under these conditions, more extreme actors often wield disproportionate influence, with moderate citizens tending to disengage politically, sparking a vicious cycle.MethodsSix studies (N = 2,179) were conducted to investigate ways to mobilize citizens to engage in bridge-building activities fostering intergroup tolerance and compassion. Derived from basic regulatory theories of motivation, we tested the effects of stronger prevention (mitigating negative outcomes) vs. promotion (seeking ideal outcomes) and assessment (evaluating the best way to proceed) vs. locomotion (just “getting it done”) motivational orientations and the fit vs. non-fit framing effects of how the activities were presented on differences in engagement with political and racial bridge-building activities across political, racial, and gender groups in the U.S. We hypothesized that individuals with stronger levels of each of the four motivational mindsets would be more likely to express willingness to engage in bridging activities when they were framed in ways consistent (fitting) vs. inconsistent (non-fitting) with their more chronic orientations.Results and discussionFindings supported our hypotheses with some qualifiers and revealed important political, racial, and gender group differences on motivation and bridge-building for different types of engagement activities.

ChatGPT improves creative problem-solving performance in university students: An experimental study

University students often employ generative artificial intelligence tools such as ChatGPT in resolution of ill-defined problem-solving tasks. However, the experimental evidence about effects of ChatGPT on complex problem-solving performance is still missing. In this preregistered experiment, the impact of ChatGPT on performance in a complex creative problem-solving task was investigated in 77 university students solving a task with ChatGPT in comparison to 68 students solving a task without it. ChatGPT use significantly improved self-efficacy for task resolution (d = 0.65) and enhanced the quality (d = 0.69), elaboration (d = 0.61), and originality (d = 0.55) of solutions. Moreover, participants with ChatGPT assistance perceived task as easier (d = 0.56) and requiring less mental effort (d = 0.58). However, use of ChatGPT did not make task resolution more interesting (d = 0.08), and the impact of ChatGPT on metacognitive monitoring accuracy was unclear. Although there were no significant differences in absolute accuracy between students solving the task with and without the assistance of ChatGPT, the absence of correlation between self-evaluation judgments and performance suggests that participants struggled to calibrate their self-evaluations when using ChatGPT. Notably, the perceived usefulness of ChatGPT appeared to inform self-evaluation judgments, resulting in higher inaccuracy. The implications for hybrid human-AI regulation (HHAIR) theory are discussed. To regulate effectively, students using AI tools should focus on valid metacognitive cues instead of the perceived ease of ChatGPT-assisted problem-solving.

Temperamental underpinnings of borderline personality disorder and its facets.

Temperament is claimed to be the basis for personality; therefore, discovering the temperamental underpinnings of borderline personality disorder and its facets is crucial for understanding this personality disorder. In this article, we explore these underpinnings by using a new model of temperament, based on the Regulative Theory of Temperament, the Big Two of temperament, and the Circumplex of Personality Metatraits. Two studies were conducted on adults-the first was in a general population sample (N = 315) and the second was in a clinical sample (N = 113) in people with a diagnosis of borderline personality disorder. The following measurements were used: The Screening Instrument for Borderline Personality Disorder (SI-Bord), the Five-Factor Borderline Inventory-Short Form (FFBI-SF), and the Temperament Metadimensions Questionnaire (TMQ). General borderline was explained by Reactivity (high Sensitivity) and Activity (high Dynamism). At the facet level, the Borderline Internalizing Facet was mainly explained by Reactivity (high Sensitivity), while the Borderline Externalizing Facet was explained by Activity (high Dynamism) in addition to Reactivity (high Sensitivity). The results of our study revealed specific temperamental underpinnings of borderline and its facets. Reactivity underlies all borderline facets, while Activity differentiates between the Borderline Externalizing Facet and Borderline Internalizing Facet.

The educational integrity enforcement pyramid: a new framework for challenging and responding to student cheating

Current approaches used by educational institutions to address the problem of student cheating are not working. This is because the discourse of academic integrity that currently dominates is, on its own, inadequate for addressing the problem. We propose that in order for higher education institutions to challenge cheating effectively, they need to learn from history and to look outside their own sector to find a new way of responding to student cheating behaviours. We propose a new framework for this. We take the theory of responsive regulation, developed by Ayres and Braithwaite, and combine it with the discourse of assessment security introduced by Dawson to form the Educational Integrity Enforcement Pyramid. We use this pyramid to show how institutions can operationalize this new approach and use it to identify gaps in their strategic response to the challenging problem of student cheating.

RESEARCH ON THE INCENTIVE EFFECT OF ADDITIONAL DEDUCTION FOR R&D EXPENSES ON CAPITAL: A REVIEW

In recent years, in order to promote the improvement of the Chinese overall strength in scientific and technological innovation, the Chinese government has implemented preferential tax policies for scientific and technological enterprises to deduct R&D expense, to reduce the tax burden, to reduce costs and expenses, to increase enterprise cash flow, and to encourage enterprises to increase investment in R&D expense. The article is based on the theory of tax regulation, to review the Chinese government's preferential tax policy of additional deduction for R&D expenses in scientific and technological enterprises. With different empirical models, this article is made an empirical analysis and research on the incentive effect of additional deduction for R&D expenses on the capital investment of scientific and technological enterprises from multiple perspectives. A comprehensive demonstration of the positive incentive effect of preferential tax policies is of great significance for the Chinese government to regulate scientific and technological investment, to enhance the competitive advantage of science and technology by tax policies, to realize science and technology self-reliance.

Semiglobal Suboptimal Output Regulation for Heterogeneous Multi-Agent Systems With Input Saturation via Adaptive Dynamic Programming.

This article considers the semiglobal cooperative suboptimal output regulation problem of heterogeneous multi-agent systems with unknown agent dynamics in the presence of input saturation. To solve the problem, we develop distributed suboptimal control strategies from two perspectives, namely, model-based and data-driven. For the model-based case, we design a suboptimal control strategy by using the low-gain technique and output regulation theory. Moreover, when the agents' dynamics are unknown, we design a data-driven algorithm to solve the problem. We show that proposed control strategies ensure each agent's output gradually follows the reference signal and achieves interference suppression while guaranteeing closed-loop stability. The theoretical results are illustrated by a numerical simulation example.