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Parallel-connected digital valve arrays are commonly utilized in the pilot stage of the proportional directional valve to enhance dynamic performance and reliability. However, when the digital valve array is driven by a digital signal, it is difficult to optimally assign the signal pulses to each valve. If the assignment is not well executed, it can significantly reduce the switching uniformity of the digital valves or lead to performance degradation of the system. In this paper, a model-based sliding mode control strategy based on the intelligent distribution of control law is proposed and successfully applied to a proportional valve driven by digital valve arrays. The intelligent distribution strategy encompasses a logic distribution algorithm and a circular sliding distribution algorithm that automatically assigns control laws to different valves based on the rolling of the PWM signal cycle. Experimental results confirm that the proposed strategy not only simultaneously reduces the total number of valve switches and enhances the switching uniformity among the valves, but also adapts to the variation in the number of valves. The proposed strategy is not limited to the application of digital valve arrays, it is also applicable in other fields of multi-actuators driven by digital signals, and can simultaneously improve the control accuracy, lifetime, and maintenance friendliness.

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Japan's responses to COVID-19 have been conducted based on the Act on the Prevention of Infectious Diseases and Medical Care for Patients with Infectious Diseases (the Infectious Diseases Control Law) and the Act on Special Measures against Novel Influenza, etc. (the Act on Special Measures), as COVID-19 is classified as the category of "the Novel Influenza etc." under the Infectious Diseases Control Law. The government's Novel Coronavirus Response Headquarters decided to reclassify COVID-19 as a Category V infectious disease under the Infectious Diseases Control Law in May 2023 since the disease has become less lethal. Accordingly, the countermeasures such as surveillance and medical care are going to be reviewed, and COVID-19 prevention actions will depend on personal choices (Prior to the review in May, mask usage will be changed from 13 March). However, this does not mean that infection control measures are no longer necessary; it is recommended that such measures be taken in certain settings in order to prevent the elderly and those who at a high risk of severe illness from being infected, even after the disease is classified as Category V.

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In Japan, there has been a discussion of the potential reclassification of the novel coronavirus infectious disease 2019 (COVID-19) as an infectious disease under the Act on the Prevention of Infectious Diseases and Medical Care for Patients with Infectious Diseases (the Infectious Diseases Control Law), beginning in late 2022. To make an informed decision, the societal impact of COVID-19 needs to be carefully considered to ensure that any reclassification does not negatively impact healthcare or society as a whole. The disease burden of COVID-19 remains considerable and is likely to persist for an extended period of time. Consequently, numerous special measures have been taken in the healthcare system to cope with COVID-19. Several of these measures must be implemented. Thus, the healthcare system needs to be strengthened in the future. This will result in adequate prevention, preparation, and a response to future pandemics.

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In multiagent systems, it can be hard to design individual models due to financial constraints and design challenges. Given this, most studies use the same models for each individual and fail to take into account intra-group differences. In this paper, the effects of differences within a group on flocking and obstacle avoidance movements are studied. Individual differences, group differences, and mutants are the most significant intra-group differences. The differences lie mostly in perceptual radius, inter-individual forces, and the ability to avoid obstacles and pursue goals. We designed a smooth and bounded hybrid potential function with indefinite parameters. This function satisfies the consistency control requirements of the three previously mentioned systems. It is also applicable to ordinary cluster systems without individual differences. As a result of the action of this function, the system has the advantages of rapid swarming and constant system connectivity during motion. Through theoretical analysis and computer simulation, we confirm the effectiveness of our theoretical class framework designed for a multi-agent system with internal differences.

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The quality of chemical management depends more or less on practical procedures used to assess chemicals. This study quantitatively assessed the efficacy of a derivation procedure for calculating no-effect concentrations for screening assessment of environmental hazards under the Chemical Substance Control Law in Japan. We first evaluated the derivation procedure by applying a series of test ecotoxicity datasets to the procedure and calculating the resulting misclassification rates of the hazardous class of chemicals. In this study, a chemical was deemed to have been misclassified if its classification differed from its classification based on the full dataset (chronic toxicity data for three trophic levels), which was defined as the correct assignment. We also calculated the effects of additional uncertainty factors to decrease the variance (i.e., to improve the consistency) of the misclassification rates among cases with different data availability in the derivation procedure. The results showed that the derivation procedure resulted in very high rates of misclassification when only particular sets of ecotoxicity data were available (e.g., only chronic toxicity data of algae were available). Our analyses also showed that the use of additional uncertainty factors improved the consistency of the misclassification rates within the derivation procedure. Our study presents a broadly applicable calculation framework for quantifying error rates in assessment procedures and serves as a case study for future development and reforms of chemical assessment processes and policies, while additional analyses using more extensive ecotoxicity data with various modes of actions are needed in the future.

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In this study, we aim to clarify the impact of drug abuse prevention education and the experiences of people who have stayed in countries that are tolerate marijuana use for recreational purposes on their beliefs regarding the relaxation of the Cannabis Control Law. On May 12-13th, 2022, a web-based questionnaire survey was presented to Japanese nationals aged 18-41 years who had spent at least 5 days in a marijuana-tolerant country. Univariate and multiple logistic regression analyses were conducted with “Views on the Relaxation of the Cannabis Control Law” as the objective variable. A total of 160 respondents (45.6% male) responded, of whom 33.8% supported relaxing the law for the consumption of recreational cannabis in the form of food, drink, or smoke. Additionally, 27.5% of the respondents had encountered recreational cannabis through some channel during their stay. Multiple logistic regression analysis revealed a significant positive association between idea of supporting the relaxation of the law and the tolerance of the image of the physical and mental effects of recreational cannabis and the social effects of its distribution. Neither knowledge of marijuana and drug abuse nor the experience of being encouraged to use it during their stay were significantly associated. The study suggested that in order to deter marijuana use during stays in such countries, it is necessary not only to improve knowledge, but also to foster imagination and the ability to think and predict the physical and social effects of its use.

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BACKGROUND: Stroke related motor function deficits affect patients' likelihood of returning to professional activities, limit their participation in society and functionality in daily living. Hence, robot-aided gait rehabilitation needs to be fruitful and effective from a motor learning perspective. For this reason, optimal human-robot interaction strategies are necessary to foster neuroplastic shaping during therapy. Therefore, we performed a systematic search on the effects of different control algorithms on quantitative objective gait parameters of post-acute stroke patients. METHODS: We conducted a systematic search on four electronic databases using the Population Intervention Comparison and Outcome format. The heterogeneity of performance assessment, study designs and patients' numerosity prevented the possibility to conduct a rigorous meta-analysis, thus, the results were presented through narrative synthesis. RESULTS: A total of 31 studies (out of 1036) met the inclusion criteria, without applying any temporal constraints. No controller preference with respect to gait parameters improvements was found. However, preferred solutions were encountered in the implementation of force control strategies mostly on rigid devices in therapeutic scenarios. Conversely, soft devices, which were all position-controlled, were found to be more commonly used in assistive scenarios. The effect of different controllers on gait could not be evaluated since conspicuous heterogeneity was found for both performance metrics and study designs. CONCLUSIONS: Overall, due to the impossibility of performing a meta-analysis, this systematic review calls for an outcome standardisation in the evaluation of robot-aided gait rehabilitation. This could allow for the comparison of adaptive and human-dependent controllers with conventional ones, identifying the most suitable control strategies for specific pathologic gait patterns. This latter aspect could bolster individualized and personalized choices of control strategies during the therapeutic or assistive path.

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The database here contains experimental data relevant to an original maximum power point tracking controller for an experimental direct-drive full-variable-speed full-rated converter Type IV Wind Energy Conversion System in standalone operation. The main goal is to maximize power extraction by controlling the duty cycle of a multilevel boost converter, which is responsible for adjusting the angular speed of a permanent magnet synchronous generator coupled to a three-phase induction motor that emulates the wind turbine. Two data acquisition cards with the appropriate signal conditioners were used to obtain measurements of the generator angular speed, output current, and output voltage at the terminals of the multilevel converter. In addition, data related to power coefficient, tip speed ratio, duty cycle, and output power are also included. Two PCs in a Linux real-time platform were used for the emulation, control, and data collection processes. On the other hand, Matlab was used to analyze the data to evaluate the controller's performance to maximize wind power extraction. The database is freely accessible at http://dx.doi.org/10.17632/363d24mcb6.2. This dataset [1] represents a resource for wind power specialists who develop algorithms for wind energy optimization.

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Maximum power point tracking in wind turbines is a topic that has attracted many researchers' interest; however, the studies presented are usually carried out only at the simulation level, so they lack a verification in the system through real measurements. On the other hand, the system's modeling is usually quite complex, making it challenging to meet the control objectives. There are unified models in which the system is treated in a generalized way according to various research purposes. This work presents a methodology that simplifies the unified system through a series of dynamic tests that applied to obtained a simplified model much easier to handle without sacrificing the system's dynamic richness. • An alternative approach for a unified wind energy conversion system is established by employing physical dynamic tests applied to the wind set. • A maximum power point tracking is verified by real-time measurements managed by an open-source platform. • Methodology related to electronic instrumentation and programming is described so the tests can be reproduced without much difficulty.

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Ethyl(dimethyl)(tetradecyl)ammonium ethyl sulfate, used in laundry detergents, shampoos, and body soaps, is classified by the Japanese Chemical Substances Control Law as a priority assessment chemical substance for environmental effects. However, its toxicity data for human health are insufficient. This study evaluated this chemical under the Safety Examination of Existing Chemicals and Safety Programmes of the Ministry of Health, Labour and Welfare (MHLW). The MHLW conducted bacterial reverse mutation (Ames test), in vitro chromosomal aberration, and combined repeated-dose and reproductive/developmental toxicity screening tests. We performed a screening assessment of ethyl(dimethyl)(tetradecyl)ammonium ethyl sulfate for human health. The chemical showed a negative reaction in the Ames test and a positive reaction in the in vitro chromosomal aberration test with metabolic activation in rats. The combined repeated-dose and reproductive/developmental toxicity screening test showed significantly decreased food consumption at 50 mg/kg body weight/day, but no reproductive and developmental toxicity was observed. The no-observed-effect level of 15 mg/kg/day was obtained as a screening value. Therefore, this chemical was classified as hazard class 3, with a derived-no-effect level of 0.025 mg/kg/day. The results of this study will be useful for risk assessment of groups of structurally similar alkyl quaternary ammonium surfactants.

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This paper develops a sliding-mode control with an improved nonlinear extended state observer (SMC-INESO) for the rotation system of a hydraulic roofbolter with dead-zones, uncertain gain, and disturbances, with the purpose of improving tracking performance. Firstly, the rotation system is modeled to compensate for dead-zone nonlinearity. Then, we present an improved nonlinear extended state observer to estimate disturbances of the rotation system in real time. Moreover, a proportional-integral-differential sliding-mode surface is introduced and an improved sliding-mode reaching law is designed. Based on this, a sliding-mode control law is developed. In order to eliminate the influence of estimation error and uncertain gain, we design two adaptation laws based on the sliding-mode surface and the estimated states. Finally, the effectiveness of the proposed SMC-INESO is verified through comparative simulation studies.

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A quality-assured ecological risk assessment (ERA) requires enormous resources (time and labor) in collection/assessment of hazard data, as well as considerable expertise to interpret the risk. The ERA of chemicals is thereby considered difficult or impossible for those with little assessment experience and cumbersome or complicated for practitioners. To meet the concerns regarding ERA and accelerate the risk assessment and management of chemicals, we developed an all-in-one free tool for multi-purpose ecological risk assessment management (MeRAM) of chemical substances in aquatic environment called the AIST-MeRAM Ver. 2.0.0 (Copyright No: H28PRO-2007). It allows users from beginners to experts to conduct ERA without any preparation because all the necessary ecotoxicity test data and methodologies are available in the system. Approximately 270,000 ecotoxicity test data points for 3900 chemical substances together with the scientific methodologies from traditional simple hazard quotient (HQ) to more ecologically relevant complicated assessments such as species sensitivity distribution (SSD) and population-level assessment are embedded in the AIST-MeRAM. In addition, users can easily understand the Japanese regulatory RA and management of chemical substances due to a special function based on the Japanese Chemical Substance Control Law (CSCL). Here, we demonstrate a tiered ERA using the embedded sample data to evaluate and ensure the functions of AIST-MERAM. We show that the AIST-MeRAM can provide a comprehensive and accurate ERA, suggesting that it is a powerful IT solution for cumbersome ERA.

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BACKGROUND: Underage drinking contributes to numerous health and social problems among adolescents. The Alcoholic Beverage Control Act, issued in Thailand in 2008, contains several clauses aiming at preventing underage and novice drinking, such as raising the minimum legal purchasing age from 18 to 20, banning alcohol sale and consumption in places frequented by youth, and banning alcohol advertisements. OBJECTIVES: To estimate the changes in the prevalence of alcohol consumption and perceptions of drinking norms among high-school students 8 years after the Act was implemented. METHODS: Data from the Thai national high-school surveys in 2007 (N = 50,033; 49.9% female) and 2016 (N = 38,535; 49.8% female), using similar questionnaires, were analyzed. Prevalence rates and group norms toward drinking were compared between the two surveys, using weighted Poisson regression and prevalence ratios. RESULTS: Drinking prevalence significantly increased in females, with prevalence ratios ranging from 1.2 for 30-day intoxication to 2.1 for 30-day binging. In males, the 12-month drinking prevalence increased in 2016, but a non-significant change for binge drinking and a 40% decrease for intoxication was seen. Higher proportions of students in 2016 perceived that most of their friends also drank alcohol compared to students in 2007 (16.8% vs. 11.2%; 49.8% increase). A significant effect of the year of survey on drinking patterns was seen across all school levels. CONCLUSION: Drinking rates decreased among males, but increased in females. These changes may be somewhat due to the Act, or to changes in the social environment in Thailand over this 8-year period.

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A survey was conducted with neurologists regarding their attitudes toward cannabis. Comparison was made between respondents who had previously been exposed to information about cannabis (31 neurologists), hereafter referred to as the "informed group," and those who had not (81 neurologists), hereafter referred to as the "non-informed group." While more than half of the respondents in both groups showed some acceptance toward the usage of cannabis for research purposes, there was a stronger tendency to accept the use of cannabis for medical purposes in the informed group. Since this acceptance was more often displayed by respondents who had adequate knowledge of the medical use of cannabis, this suggests that providing information on cannabis is useful in promoting acceptance. The result of the survey indicated that a portion of neurologists acknowledges the usefulness of cannabis, and that one's receptivity toward cannabis can be improved if adequate information is provided about cannabis.

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This paper deals with the design of robust observer based output feedback control law for the stabilisation of an uncertain nonlinear system and subsequently apply the developed method for the regulation of plasma glucose concentration in Type 1 diabetes (T1D) patients. The principal objective behind the proposed design is to deal with the issues of intra-patient parametric variation and non-availability of all state variables for measurement. The proposed control technique for the T1D patient model is based on the attractive ellipsoid method (AEM). The observer and controller conditions are obtained in terms of linear matrix inequality (LMI), thus allowing to compute easily both the observer and controller gains. The closed-loop response obtained using the designed controller avoids adverse situations of hypoglycemia and post-prandial hyperglycemia under uncertain conditions. Further to validate the robustness of the design, closed-loop simulations of random 200 virtual T1D patients considering parameters within the considered ranges are presented. The results indicate that hypoglycemia and post-prandial hyperglycemia are significantly reduced in the presence of bounded ( ± 30 % ) parametric variability and uncertain exogenous meal disturbance.

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In Myanmar, the Control of Smoking and Consumption of Tobacco Products Law (Tobacco Control Law; TCL), which covers the prohibition of sale of tobacco to minors and all forms of tobacco advertisement, was enacted in 2006. This study aimed to examine the awareness of the TCL among high school students. A cross-sectional study was conducted in November 2015. Participants were 1,339 high school students (554 boys and 785 girls) from two regions and two states of Myanmar. Data were collected using anonymous self-administered questionnaires and revealed that 78.0% of boys and 86.5% of girls responded the sale of tobacco products in or within 100 feet from school, and 83.4% of boys had ever seen someone selling tobacco products to minors. More than half of the students had ever seen minors selling or distributing tobacco products, and had knowledge about the TCL, while only 9.7% knew about the penalties. The adjusted odds ratio (95% confidence interval) of awareness of the TCL was 2.12 (1.35-3.31) for students who had ever received tobacco products free of charge, or seen/heard about their distribution free of charge, 1.86 (1.20-2.89) for current smokeless tobacco users, and 0.58 (0.43-0.77) for students who had ever seen someone selling tobacco products to minors. The majority of high school students did not know that the violation of the TCL could be punished with a fine and/or imprisonment. These findings suggest that awareness of the TCL was very low among high school students, highlighting that TCL enforcement and compliance, and tobacco-related health education programs are not satisfactory in Myanmar.

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OBJECTIVES: After signing and approving the Framework Convention on Tobacco Control (FCTC), Turkey amended laws on tobacco control in 2008 and also expanded the smoking ban in 2013 to include drivers in all vehicles. Four years later, this amendment does not seem as effective. The aim of this study was to observe violation of the law by the drivers and to analyze the association between gender of the driver, type of the vehicle, approximate age group definition of the passenger (either child or adult), and the law violation in two streets in Konak district, Izmir, Turkey. MATERIALS AND METHODS: In this cross-sectional study, two observer teams were located in two different busy streets on the same afternoon and they collected data on the violation of the law, gender of the driver, approximate age group definition of the passengers (either adult or child), and type of the vehicle (special, taxi, or other commercial). Logistic regression for the violation of the law was conducted. RESULTS: Law violation prevalence is 7.2%. In univariate analysis, the gender of the driver and having at least one child as a passenger were associated with the violation of the law. In multivariate analysis, not having children increases (OR: 8.4) the risk of the violation of the law. CONCLUSION: The violation of the law was high, but the drivers seemed to be aware of the harms of smoking by looking at the increased risk of the violation in vehicles, in which no child was carried as passengers.

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Different control strategies have been proposed for drug delivery in chemotherapy during recent years. These control algorithms are designed based on dynamic models of various orders. The order of the model depends on the number of effects considered in the model. In a recent model, the effect of obesity on the tumour progression and optimal control strategy in chemotherapy have been investigated in a fifth-order state-space model. However, the optimal controller is open loop and not robust to the common uncertainties of such biological system. Here, the sliding surface is obtained by the optimal trajectory and by considering uncertainties of some parameters, the robust-sliding control law is formulated in a way to slid on the optimal surface. Then, a sliding mode controller is designed to determine the drug dose rate such that the system follows the optimal desired trajectory. The stability of the control system is proved and the simulation results indicate that three states track the trajectory and the remaining two states satisfy the constraints.

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OBJECTIVE: To investigate secondhand smoke exposure (SHS) of children at home and the prevalence of parental smoking after implementation of the new tobacco control law in Macao. This study explored whether the smoking ban in public places in Macao has decreased the prevalence of smoking or led to increased SHS exposure of children at home. As smokers cannot smoke in public places any more, they may smoke at home more frequently; a displacement effect of smoke-free legislation. STUDY DESIGN: Cross-sectional survey. METHODS: This study surveyed 337 fathers and 538 mothers. Questions from a subset of key questions from the Global Adult Tobacco Survey (2nd edition) were applied to assess the SHS exposure of children and the prevalence of parental smoking since the smoking ban. A classification tree analysis was used to analyse the factors increasing SHS exposure of children. RESULTS: The prevalence of SHS exposure in children at home was 41.3%. The prevalence rates of paternal and maternal smoking were 43.7% and 3.8%, respectively. Compared with data reported by the Health Bureau of Macao SAR in 2011, the prevalence of parental smoking and the prevalence of SHS exposure of children at home have not decreased since the smoking ban. Analysis of the factors increasing the prevalence of SHS exposure of children indicated that fathers with an education level below high school were more likely to contribute to this increase, compared with fathers with a high school education or more (48.2% vs 32.4%, respectively). In addition, fathers represented the majority of smokers at home, accounting for 92.0% of 415 smoking parents. The prevalence of paternal smoking (82.0%) in the group of children with SHS exposure was much higher than that in the unexposed group (16.7%, Chi-squared test = 367.199, P = 0.000). The SHS exposure of children increased consistently with the decrease in paternal education level. This was consistent with the increasing prevalence of paternal smoking as paternal education level decreased. SHS exposure was most common among children whose fathers had an education level below high school and whose mothers were aged ≤29 years (75.0%). CONCLUSIONS: This study did not find any decline in the prevalence of parental smoking after the smoking ban. These parents were more likely to smoke at home after the ban, leading to more frequent SHS exposure for their children.

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OBJECTIVES: The present study aimed to investigate smoking status of households having children under 5 years of age and any changes in their smoking habits after the enforcement of the anti-tobacco Law Nb. 4207 and after the birth of the child based on the records of two Family Health Centres in Ankara. MATERIAL AND METHODS: Within the scope of this cross-sectional study, 192 houses, in which 228 children under five years of age were living, were evaluated. Data were collected via face-to-face interview. Data collection form included information regarding socio-demographic characteristics, health status, smoking habits, status of exposure to second-hand smoke. Data transfer to the computer and data analyses were performed using the SPSS 15.0 statistical package program. RESULTS: According to the statements of the study participants, the rate of smoking in the balcony, kitchen, toilet-bathroom, and rooms of the house decreased after the enforcement of the anti-tobacco Law Nb. 4207. Similar decrease was valid also for working environment. The decrease in the rate of smoking was the least in "Balconies" at both home and working environments. Birth of a child was also a factor that decreased the rate of smoking. A decrease was observed in almost all parts (bedroom, kitchen, balcony, and toilet-bathroom) of the houses after birth of a child. CONCLUSION: Exposure to second-hand smoke at homes, where children under the age of five years were living, could not be completely (100%) prevented. Health care workers' persistent study on this issue may contribute to the awareness of parents in preventing exposure to second-hand smoke.