Control Situation Research Articles

Modeling temporal dual variations for return air temperature prediction of mK-level temperature-controlled clean chamber

Clean chamber with mK-level temperature stability is required for precision manufacturing and optical equipment to achieve nanoscale manufacturing tolerances and measurement accuracy, however, the equipped precision air conditioning system cannot respond immediately to temperature fluctuation in the chamber due to large time delay. Predicting the future return air temperature gives the control module a prescient ability to act in advance, thus aiding in temperature regulation. To this end, this paper deals with the mK-level temperature prediction problem under a high-precision temperature control situation, and a novel prediction network model dubbed TDVNet is designed based on convolutional neural network (CNN) and gated recurrent unit (GRU), where Temporal Dual Variations of time series data, namely variations-between-phases and variations-across-periods, are modeled to achieve a higher accuracy of return air temperature prediction. Utilizing chamber temperature data collected on-site for model training and evaluation, the experimental results show that capturing data change patterns from dual perspectives has reduced the root mean square error (RMSE) and mean absolute percentage error (MAPE) of the TDVNet model by 21.4% and 24.3%, respectively, compared to the model only capturing the variations-between-phases. Under a signal sampling interval of 10 s and a temperature fluctuation of (66.9 ± 25.8) mK@10min, the TDVNet model can accurately predict the return air temperature change in the next 5 min, and the proportion of prediction errors within 15 mK in the test set can reach over 90.1%.

Development and application of a comprehensive assessment method of regional flood disaster risk based on a refined random forest model using beluga whale optimization

To scientifically characterize regional flood disaster risks, a comprehensive regional flood disaster risk assessment index system was constructed based on the R cluster-factor analysis method. To improve the regional flood disaster risk identification ability, a random forest model refined by the beluga whale optimization (BWO-RF) was proposed. It was applied to the flood disaster risk assessment of the Jiansanjiang Branch of the Beidahuang Agricultural Reclamation Group in Heilongjiang Province, China. The research results show that the constructed BWO-RF model has strong generalization ability and optimization efficiency. The evaluation results have high rationality and stability, which fully demonstrates the applicability of the BWO-RF model in flood disaster risk assessment. On a time scale, the flood risk of the Jiansanjiang Branch shows a clear downward trend. However, due to weak economic development and insufficient water conservancy and flood control planning and construction, the risk of flood disasters fluctuates greatly in the later period, and the prevention and control situation is still not optimistic. On a spatial scale, the risk of flood disasters on farms in the northeast of Jiansanjiang Branch is low, while the risk on farms in the southwest is higher. Future flood control and drainage should focus on this area. The research results provide a technical method system for reference in flood disaster risk assessment and provide valuable information for reducing regional flood disaster risks.

High-density lipoprotein in diabetes: Structural and functional relevance.

Low levels of high-density lipoprotein-cholesterol (HDL-C) is considered a major cardiovascular risk factor. However, recent studies have suggested a more U-shaped association between HDL-C and cardiovascular disease. It has been shown that the cardioprotective effect of HDL is related to the functions of HDL particles rather than their cholesterol content. HDL particles are highly heterogeneous and have multiple functions relevant to cardiometabolic conditions including cholesterol efflux capacity, anti-oxidative, anti-inflammatory, and vasoactive properties. There are quantitative and qualitative changes in HDL as well as functional abnormalities in both type 1 and type 2 diabetes. Non-enzymatic glycation, carbamylation, oxidative stress, and systemic inflammation can modify the HDL composition and therefore the functions, especially in situations of poor glycemic control. Studies of HDL proteomics and lipidomics have provided further insights into the structure-function relationship of HDL in diabetes. Interestingly, HDL also has a pleiotropic anti-diabetic effect, improving glycemic control through improvement in insulin sensitivity and β-cell function. Given the important role of HDL in cardiometabolic health, HDL-based therapeutics are being developed to enhance HDL functions rather than to increase HDL-C levels. Among these, recombinant HDL and small synthetic apolipoprotein A-I mimetic peptides may hold promise for preventing and treating diabetes and cardiovascular disease.

Preparation and sustained-release mechanism of hydroxybutyl chitosan/graphene oxide temperature-sensitive hypoglycaemic subcutaneous implants

The current situation of diabetes prevention and control is extremely severe. For instance, glimepiride (GLM), a third-generation sulfonylurea, demonstrates suboptimal clinical efficacy in oral dosage forms, which underscores the pressing need for the development of a new dosage form. Recently, in situ gel subcutaneous implants have garnered considerable attention. Hydroxybutyl chitosan (HBC) can spontaneously crosslink to form a thermosensitive hydrogel and has good biocompatibility. However, its application is hindered by its limited mechanical properties. Graphene oxide (GO), known for its stable dispersion in water, can load GLM through π–π stacking interactions. When combined with HBC, GO enhances the mechanical properties and stability of the hydrogel. Therefore, an HBC–GO@GLM hydrogel was prepared. Rheological analysis revealed that the incorporation of GO increased the critical gelation temperature of the 5 wt% HBC hydrogel from 19.1°C to 27.2°C, considerably enhancing the mechanical properties of the hydrogel. Using encapsulation efficiency as an evaluation index, the optimal encapsulation efficiency of GO@GLM was determined to be 73.53% ± 0.45% with a drug loading capacity of 27.39 ± 0.17% using the Box–Behnken design model. Computer simulation technology validated the interaction between the materials and the drug release mechanism. Pharmacokinetic results showed that compared to the HBC@GLM group, the half-life (t1/2), mean residence time and the area under the curve for the HBC–GO@GLM group were approximately 3 times those of the HBC@GLM group. Subcutaneous implantation of the HBC–GO@GLM hydrogel for drug delivery considerably extended the drug’s action time in the body, thereby maintaining blood sugar levels within a normal and stable range for an extended period.

Research on the application of mathematical modeling in tumor immunology in the context of chemotherapy

Cancer is not only a highly detrimental disease but also a particularly grave health concern. Moreover, the current incidence and mortality rates in our country are far from encouraging, making the prevention and control situation very challenging. Therefore, identifying the most scientific and effective treatment methods has become one of our primary research focuses. This paper, building upon previous models and incorporating resistance factors, categorizes tumor cells into those that are sensitive to chemotherapy drugs and those that become resistant. Using MATLAB, we have adjusted various sensitivity parameters in the model to simulate the number of tumor cells over 40 days. This simulation aims to analyze the sensitivity levels of tumor cells to different parameters upon the inclusion of resistance factors. The initial data used for the simulation were derived from the original paper. Ultimately, our findings indicate that tumor cells are most sensitive to the chemotherapy drugs killing rate for normal tumor cells and the decay rate of the chemotherapy drug. Due to the drug resistance factor, the sensitivity of different parameters is influenced. For parameters related to chemotherapy drugs, the final results, when incorporating this factor, may deviate significantly from those of previous models without this factor. For instance, the decay rate of chemotherapy drugs might result in a larger total number of tumor cells or a steeper trend compared to previous findings.

Active and passive controls of magnetized Buongiorno Reiner–Phillipoff nanofluid

This attempt demonstrates the nature of mass and heat transportation in non-Newtonian Reiner–Philippoff liquid flow over moving surface by considering zero and nonzero normal mass flux conditions and transverse magnetic field. Thermophoresis and Brownian movement is accounted due to the Buongiorno model of nanofluid. The expressions of flow are reframed through appropriate variables into pairs of self-similar expressions. Further, these self-similar expressions are executed numerically through the Shooting procedure (Runge–Kutta 4th order). Numerical benchmarks and graphical illustrations are prepared to visualize the role of influential constraints on interesting quantities. It is observed that Lorentz force is beneficial in obtaining effective velocity and heat transfer. Improvement in thermophoresis factor enriches temperature field in case of active control while reverse nature is observed in passive control situation.

Hierarchical fuzzy comprehensive evaluation of prevention and control level of occupational hazards in coal mines

Objective: To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines. Methods: In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average. Results: The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good. Conclusion: The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.

How do personality traits modulate real-world gaze behavior? Generated gaze data shows situation-dependent modulations.

It has both scientific and practical benefits to substantiate the theoretical prediction that personality (Big Five) traits systematically modulate gaze behavior in various real-world (working) situations. Nevertheless, previous methods that required controlled situations and large numbers of participants failed to incorporate real-world personality modulation analysis. One cause of this research gap is the mixed effects of individual attributes (e.g., the accumulated attributes of age, gender, and degree of measurement noise) and personality traits in gaze data. Previous studies may have used larger sample sizes to average out the possible concentration of specific individual attributes in some personality traits, and may have imposed control situations to prevent unexpected interactions between these possibly biased individual attributes and complex, realistic situations. Therefore, we generated and analyzed real-world gaze behavior where the effects of personality traits are separated out from individual attributes. In Experiment 1, we successfully provided a methodology for generating such sensor data on head and eye movements for a small sample of participants who performed realistic nonsocial (data-entry) and social (conversation) work tasks (i.e., the first contribution). In Experiment 2, we evaluated the effectiveness of generated gaze behavior for real-world personality modulation analysis. We successfully showed how openness systematically modulates the autocorrelation coefficients of sensor data, reflecting the period of head and eye movements in data-entry and conversation tasks (i.e., the second contribution). We found different openness modulations in the autocorrelation coefficients from the generated sensor data of the two tasks. These modulations could not be detected using real sensor data because of the contamination of individual attributes. In conclusion, our method is a potentially powerful tool for understanding theoretically expected, systematic situation-specific personality modulation of real-world gaze behavior.

Current situations and future issues surrounding rabies in Japan and other countries

Rabies is a viral infectious disease affecting the central nervous system that is generally transmitted from mammals such as dogs. This disease is characterized by a long incubation period (a few months on average) and a high mortality rate of almost 100%. While there are highly effective rabies vaccines, no reliable treatment has been established to date. In Japan, the disease was successfully eradicated in 1957 as a result of exhaustive control measures including vaccination of dogs in accordance with the Rabies Prevention Law. Since then, Japan has continued to take rabies control measures based on this law, which are stricter than international standards. On the other hand, there have been a total of four imported human rabies cases found in Japan. The fourth imported case confirmed in Toyohashi City in May 2020 is still fresh in our minds. In April 2022, special measures were taken to quarantine dogs brought by evacuees from Ukraine to Japan, and many people expressed concern about the introduction of rabies into Japan. More recently, in February 2024, a dog that bit several people in Gunma Prefecture did not receive the shots required by the Rabies Prevention Law, and there was strong concern about rabies and the risk of its occurrence. In this article, we focus on rabies, which has recently attracted a great deal of attention, and describe the nature of this infectious disease. We also outline the current situations of rabies control and medical care in Japan and other countries and discuss the future issues.

Research on the Current Situation of Psychological Control of Parents of Junior High School Students

Research on the Current Situation of Psychological Control of Parents of Junior High School Students

ПРОЕКТИРОВАНИЕ БАЗ ЗНАНИЙ РОБАСТНЫХ НЕЧЕТКИХ РЕГУЛЯТОРОВ В НЕПРЕДВИДЕННЫХ СИТУАЦИЯХ УПРАВЛЕНИЯ: ПРОДУКЦИОННЫЕ ПРАВИЛА ВЫВОДА С УЧЕТОМ ИНФОРМАЦИОННОЙ ОЦЕНКИ ПРИРАЩЕНИЯ РИСКА

The model of information estimation of risk incrementing in the unpredicted control situation, allowing raising a robust level of the knowledge bases at the expense of inclusion of the description of parameters of risk of an emergency situation in inference production rules of the fuzzy controller knowledgebase is described. The algorithm of knowledge bases design for the robust fuzzy controller, capable to function under the conditions of uncertainty information is presented. On a test example application of the described technology of design of robust control is considered. Keywords

Machine Learning Model Training and Practice: A Study on Constructing a Novel Drug Detection System

Drugs, AIDS and terrorism are the three major public hazards in the world. Drug abuse seriously endangers social security and human life and health. The World Drug Report 2023 shows that the continued record supply of illicit drugs and increasingly flexible trafficking networks are exacerbating the global crisis and posing challenges for health services and law enforcement responses. The number of people injecting drugs worldwide in 2021 is estimated to be 13.2 million, 18% higher than previous estimates. At present, the world drug control situation is very serious, and it is necessary to increase the means to solve the drug problem and curb the spread of drugs, and efficient and accurate drug detection technology plays a very important role in drug control work. NPS, also known as "planning drugs" or "laboratory drugs", is a drug analogue obtained by the chemical structure modification of controlled drugs by criminals in order to evade the crackdown. It has similar or stronger excitatory, hallucinogenic, narcotic and other effects with controlled drugs, and has become a third-generation drug popular in the world after traditional drugs and synthetic drugs. Therefore, through the drug detection technology based on artificial intelligence machine learning technology, the current development of AI as a "drug detector" and the future space are analyzed.

Advancing Medical Waste Management in China: Leveraging Technological Innovations and Strategic Disposal Practices for Sustainable Development

Global epidemic prevention and control has entered the normalization stage, but the situation of local epidemic prevention and control is still complex and severe. In the new historical period, how to build on past successes to further advance our cause, and how to grasp the key issues and solve specific problems need to be examined and discussed from the perspective of technological change and development. Based on the systematic analysis of the current situation of China's existing medical waste disposal technology, and based on the opportunities and challenges faced by management and disposal technology, this paper analyzes the specific practices, work results and experience the enlightenment of the existing disposal technology and disposal mode, and puts forward the research and judgment of the future development pattern of China's medical waste, which provides a basis for the future treatment and disposal of China's medical waste and fine management.

Coping with expectation violations in education: the role of optimism bias and need for cognitive closure

Although most individuals experience expectation violations in their educational years, individuals’ coping strategies differ depending on situational and dispositional characteristics with potentially decisive influence on educational outcomes. As a situational characteristic, optimism bias indicates that individuals tend to update their expectations after unexpected positive feedback and to maintain their expectations after unexpected negative feedback. As a dispositional characteristic, a higher need for cognitive closure (NCC) indicates that individuals tend to both update (accommodation) and try to confirm expectations (assimilation) after unexpected negative feedback. To better understand mechanisms behind optimism bias and context-dependent effects of NCC in an educational context, we included controllability (attribution of success/failure to internal or external causes) and self-enhancement (amplifying positive self-relevant aspects) in an experimental case vignettes study. Our sample of n = 249 students was divided into four experimental groups (high/low controllability × positive/negative valence) and read four different case vignettes referring to expectation violations in an educational context. MANCOVA revealed that individuals updated their expectations after unexpected positive feedback only with stronger (vs. weaker) self-enhancement and that individuals maintained their expectations after unexpected negative feedback in controllable (vs. uncontrollable) situations. Furthermore, interindividual differences in NCC interacted with controllability in predicting expectation update. We conclude that considering the influences of controllability and self-enhancement, we can better understand and evaluate the adaptivity of the optimism bias and context-dependent effects of NCC in an educational context.

A Study of Leadership Development for Psychoeducationally Integrated Students Based on Social Cognitive Theory

Abstract Based on the social cognitive theory, this paper explores five major factors affecting self-efficacy, on the basis of which the SCT influence model is constructed in order to facilitate the analysis of self-efficacy sources. In the process of studying the dynamic activities of students’ psychological beliefs, the concept of belief consistency in social networks is proposed. Based on the DeGroot Learning idea, a Bayesian updating algorithm is introduced. The idea of belief aggregation is projected through three ways, such as algebra, geometry, and harmonic averaging, and the idea is combined with the Bayesian algorithm to update the dynamic model of students’ psychological beliefs and signal structure and construct the likelihood mapping matrix. The social cognition algorithm is optimized by introducing the definition of relative entropy into the matrix and establishing the signal structure model. Intervention experiments were set up, subjects as well as control variables were selected, and the numbers required for the experiments were prepared to analyze the role of social cognition on psychology education as well as psychological control and self-efficacy, respectively. The experiment shows that the leadership behavior score range of college students is between [3.5,4.5], the emotional involvement in leadership behavior is high, and the strength of the influence of behavioral involvement, emotional involvement, and cognitive involvement is 0.356, 0.321, and 0.394, respectively, which is a significant positive influence. In the basic situation of psychological control and self-efficacy, students’ self-efficacy >2.5, which is in the middle to high level, and students’ psychological control plays a mediating role in self-efficacy.

Revisiting effects of teacher characteristics on physiological and psychological stress: a virtual reality study

Identifying personal characteristics associated with teachers’ stress is a longstanding research goal with important implications for practice. The present work revisits the effects of individual characteristics in terms of neuroticism, classroom management self-efficacy, and cognitive (reasoning) abilities on stress using virtual reality (VR). Relying on a sample of 56 German pre-service teachers (Mage = 22.73, SDage = 4.93; 50.9% females), we capitalized on a VR classroom environment that allowed the integration of experimental control and authentic teaching situations, where pre-service teachers responded to the disruptive behaviors of the student avatars. We focused on stress responses in terms of psychological stress (self-reported stress) assessed after the VR session, and physiological stress (heart rate) assessed during the VR session. A total of 30 (26) participants was assigned to a condition with higher (lower) levels of disruptive student behavior, referred to as higher and lower complexity condition, respectively. Results from linear mixed-effects models revealed that neuroticism positively predicted psychological and physiological stress responses in pre-service teachers, whereas classroom management self-efficacy and cognitive (reasoning) abilities were not significantly related to stress responses. Level of complexity and the interaction between complexity and individual characteristics did not have an effect. This study underlines the value of VR as a tool for psychological research and contributes to existing knowledge on teacher characteristics and stress.

Effect of intelligent hypertension management system on blood pressure: protocol for a randomised controlled multicentre trial

IntroductionHypertension is one of the most serious global health problems, and its prevention and treatment mainly rely on lifestyle intervention and medication. However, the current situation of hypertension control in...

Research on Internal Control Optimization of Geological Team A

At present, there are still many areas for improvement in the internal control construction of Geological Team A. The construction of systems, organizations, decision-making, information systems, and other aspects is weak, and the processes of budgeting, revenue and expenditure, procurement, and construction are not standardized. The execution and supervision of internal control are also inadequate, and the effectiveness of internal control is greatly reduced. This has exposed many risks in the business development of Geological Team A, which has long been detrimental to the survival and competition of the unit in the industry. Therefore, this article takes Geological Team A as the research object, based on the framework of "Unit Internal Control Standards", and referring to relevant research on internal control, geological exploration institutions, and internal control of public institutions at home and abroad, analyzes the current situation of internal control of Geological Team A from the unit level and business level, summarizes the problems of internal control, and proposes feasible optimization measures based on the actual situation of the unit, Intended to improve the internal control system of Geological Team A, enhance its comprehensive strength, and provide some reference for the internal control construction of other geological exploration institutions.

The One Health Epidemiology of Avian Influenza Infection in Bangladesh: Lessons Learned from the Past 15 Years

Avian influenza viruses (AIVs) are significant transboundary zoonotic pathogens that concern both animal and human. Since the first report of H5N1 AIV in Bangladesh in early 2007, it resulted in numerous outbreaks across the country, hindering the sustainable growth of the poultry industry through economic losses in different production systems (commercial and backyard). Highly pathogenic avian influenza (HPAI) virus and low pathogenic avian influenza (LPAI) virus are currently cocirculating and causing infection in poultry sectors in an endemic manner in Bangladesh as well as in wild bird species. The introduction of multiple clades of H5N1 in different poultry species and the reassortment of AIVs with different patterns of infections have complicated the epidemiological situation for control and created conditions to increase the virulence of the virus, host range, and potential zoonotic transmission. The risk of viral transmission at the human–poultry interface is increasing over time due to inadequate surveillance and early detection strategies and practices, ineffective biosecurity practices among poultry raisers, and the complex supply chains of backyard and commercial poultry and live bird market (LBM) systems. Improving AIV surveillance in poultry flocks and LBMs, vaccination, biosecurity, and awareness among poultry professionals is beneficial to controlling the disease burden in the poultry sector. However, human cases of AIV related to poultry production and marketing chain in Bangladesh suggest a One Health approach engaging various stakeholders from the public and private would be a better option for successfully controlling avian influenza outbreaks in Bangladesh. This review of literature presents the comprehensive overview of AIV infection status in Bangladesh, including a description of pathways for zoonotic transmission at different epidemiological interfaces, the genetic evolution of the virus, and the need for improvement of disease control strategies incorporated with early detection, application of effective vaccines, increases the proper biosecurity practices and improvement of awareness among the poultry raisers, traders and consumers using a One Health approach.

Analysis of the Current Situation of African Swine Fever Prevention and Control in France

Analysis of the Current Situation of African Swine Fever Prevention and Control in France