Correct Behavior Research Articles

Treating drunk driving: Burmese refugees’ alcohol misuse and its implications for social work practice and education

ABSTRACT An alarming number of DUI/DWI arrests of Burmese refugees stirred public concerns in a Midwestern city. Unfortunately, the community’s responses to the crisis came to an end after years of effort to make a change. The study seeks to explain why this occurred and uses this case to reflect on refugee research and social work practice. This article analyzes how the ineffectiveness in three social institutions – the criminal justice system, the mental health care system, and Burmese churches – led to the failure to correct alcohol misuse behavior among the Burmese. Burmese offenders’ language barriers and unfamiliarity with the criminal justice system led to their quick conviction. Once entering court-ordered therapy, their cultural differences in perceiving mental illness and their lack of language proficiency minimized the intended benefit of alcohol addiction treatment. Furthermore, Burmese pastors normalized drinking as part of Burmese culture, which underestimates the indication of excessive drinking for potential mental health issues. Drawing from the findings, the article discusses the impact of excessive drinking on refugees’ social integration and the implications for social work practice and education.

Predicting human effort needed to correct auto-segmentations.

Medical image auto-segmentation techniques are basic and critical for numerous image-based analysis applications that play an important role in developing advanced and personalized medicine. Compared with manual segmentations, auto-segmentations are expected to contribute to a more efficient clinical routine and workflow by requiring fewer human interventions or revisions to auto-segmentations. However, current auto-segmentation methods are usually developed with the help of some popular segmentation metrics that do not directly consider human correction behavior. Dice Coefficient (DC) focuses on the truly-segmented areas, while Hausdorff Distance (HD) only measures the maximal distance between the auto-segmentation boundary with the ground truth boundary. Boundary length-based metrics such as surface DC (surDC) and Added Path Length (APL) try to distinguish truly-predicted boundary pixels and wrong ones. It is uncertain if these metrics can reliably indicate the required manual mending effort for application in segmentation research. Therefore, in this paper, the potential use of the above four metrics, as well as a novel metric called Mendability Index (MI), to predict the human correction effort is studied with linear and support vector regression models. 265 3D computed tomography (CT) samples for 3 objects of interest from 3 institutions with corresponding auto-segmentations and ground truth segmentations are utilized to train and test the prediction models. The five-fold cross-validation experiments demonstrate that meaningful human effort prediction can be achieved using segmentation metrics with varying prediction errors for different objects. The improved variant of MI, called MIhd, generally shows the best prediction performance, suggesting its potential to indicate reliably the clinical value of auto-segmentations.

A Pilot Study of Using Picture Books to Improve the Social Skills of Children in the Autism Spectrum Disorder

Evaluating the effectiveness of using picture books in teaching behavior to children with Autism Spectrum Disorder (ASD), five children with ASD intellectual disabilities (ASD+ID) were taught queuing behavior using picture books. Multiple baselines with a staggered introduction of the independent variable of picture books to participants were employed to evaluate the dependent variable of the percentage of correct behavior observed. Children without exposure to picture books continued to fail to line up, whereas there was an increase in queuing behaviorwith picture book exposure. The results showed that picture books could be used to teach children with ASD+ID queuing behavior sustainably and effectively.

Relationship between stable smoking behavior and cognitive function in male schizophrenia patients

ObjectiveTo explore the relationship between stable smoking behavior and cognitive function in male schizophrenia patients. MethodsA simple random sampling method is applied to select 120 patients with schizophrenia admitted to a hospital from August 2020 to December 2022 as the subjects. They are divided into two groups based on whether they smoked or not. Their cognitive function is evaluated using the Stroop test (SWCT), continuous task test (CPT), and Chinese version of the Schizophrenic Cognitive Function Battery Test (MCCB). The Spearman correlation analysis is applied to verify the correlation between smoking behavior and SWCT, CPT, and MCCB in patients. Additionally, the Fagerstrom Nicotine Dependence Scale (FTND) is used to evaluate the nicotine dependence degree in smoking group patients. Pearson correlation analysis verifies the correlation between nicotine dependence and SWCT, CPT, MCCB in smoking group patients. ResultsAmong 120 patients include in this study, 3 have symptoms during the trial period, and 1 patient has an error in filling out the questionnaire, all of which are excluded. Finally, 116 valid documents are collected, with an effective recovery rate of 96.67%. According to the SWCT test results, the number of single word errors, single word time, double word errors, and double word time in the smoking group exceed the non-smoking group (P < 0.05). According to the CPT test results, the number of correct reactions in the smoking group is below the non-smoking group. The correct average reaction time, error rate of interference items, and error rate of ineffective items exceed the non-smoking group (P < 0.05). According to the MCCB test results, the scores of connectivity, visual spatial memory, and continuous operation test in the smoking group are below the non-smoking group (P < 0.05). The Spearman correlation analysis results show that stable smoking behavior in male schizophrenia patients is positively correlated with the number of single word errors, double word errors, double word time, correct mean reaction time, interference item error rate, and invalid item error rate (r = 0.216–0.524, P < 0.05). It is also positively correlated with the number of correct reactions, immediate memory, language function, delayed memory, MCCB connectivity, visual spatial memory, and continuous operation (r = −0.212-0.356, P < 0.05). The Pearson correlation analysis results show that the nicotine dependence degree in stable male schizophrenia patients is negatively correlated with monochromatic error count, immediate memory, visual span, attention, and MCCB scores (r = −0.321-0.930, P < 0.05). ConclusionSmoking in male schizophrenic patients may have impacts on their cognitive function. This impact worsens as the patient's nicotine dependence increases, especially on their memory function. Effective measures should be taken in clinical practice to correct patients' smoking behavior, reduce their nicotine dependence, and improve their cognitive function.

Statistical comparative analysis between strength parameters of a bauxite mining tailing through laboratory tests and numerical simulation

Tailings dams are the primary global way to solve the problem of low storage availability for tailings resulting from mining. However, the recent ruptures of this reservoir in Brazil, such Mariana and Brumadinho dams, draw attention to the importance of studies determining the geomechanical characteristics and behavior of mining tailings. With the implementation of Law nº 14066/2020, which establishes the National Dam Safety Policy, there was an increase in demands for the monitoring and inspecting dams and the imposition of bills. Given this, triaxial tests were carried out to characterize the mechanical behavior of bauxite mining tailing from a Brazilian deposit. Confining pressure of 25, 50, 100, and 200 kPa was applied. Moreover, data were obtained for applying numerical simulation modeling based on the parameters determined for this material. Therefore, this paper describes a comparison using exploratory data analysis between the results obtained in the laboratory by the triaxial test and the results obtained by the finite element method (FEM) analysis with the aid of the Abaqus software. Statistical analysis showed a greater discrepancy between laboratory and numerical simulation results. The most significant differences observed between laboratory and numerical simulation results occurred for the lowest stress levels. The greatest differences observed between laboratory and numerical simulation results occurred for the lowest stress levels. The difference was significant also in terms of behavior. This fact highlights the need for extensive geotechnical investigation to characterize the material adequately and obtain parameters to simulate the correct tailing behavior and develop a safe design for storage structures.

The Effect of Educational Games on Tooth Brushing Skills in Preschool Children

Educational regarding proper tooth brushing procedures needs to be carried out since preschool, because this is a golden time to build a habit. However, the proportion of correct brushing behavior based on RISKESDAS 2019 is only 2.8%. To overcome this behavior, it is necessary to provide treatment that attracts children's attention, such as providing educational games. The educational game that designed by researchers is about Tooth brushing Simulation using the Doctor Toys Set Educational Game Tool and video for how to play. The purpose of this study was to determine the effect of educational games to improve toothbrushing skills in Atikan Kindergarten, Bandung City. This research method uses a pre-experimental one group pre-test – post-test design which was carried out in April 2022 with a total sampling of 20 children. Toothbrushing skills were observed 2 times, before treatment (pre-test) and after treatment with educational games (post-test). Data analysis used paired-T test. The average score of the correct brushing movement before and after doing the Educational Game on Simulation of Brushing Teeth was 6.65 and 11.85 and there was a significant difference based on the mean score (p&lt;0.05). The conclusion is that an Educational Game about Simulation of Brushing Teeth with Doctor Toys Set and a video of how to play the tool can be used to improve tooth brushing skills in pre-school children.

Formal Modeling and Verification of Embedded Real-Time Systems: An Approach and Practical Tool Based on Constraint Time Petri Nets

Modeling and verification of the correct behavior of embedded real-time systems with strict timing constraints is a well-known and important problem. Failing to fulfill a deadline in system operation can have severe consequences in the practical case. This paper proposes an approach to formal modeling and schedulability analysis. A novel extension of Petri Nets named Constraint Time Petri Nets (C-TPN) is developed, which enables the modeling of a collection of interdependent real-time tasks whose execution is constrained by the use of priority and shared resources like processors and memory data. A C-TPN model is reduced to a network of Timed Automata in the context of the popular Uppaal toolbox. Both functional and, most importantly, temporal properties can be assessed by exhaustive model checking and/or statistical model checking based on simulations. This paper first describes and motivates the proposed C-TPN modeling language and its formal semantics. Then, a Uppaal translation is shown. Finally, three models of embedded real-time systems are considered, and their properties are thoroughly verified.

A CALPHAD-Informed Enthalpy Method for Multicomponent Alloy Systems with Phase Transitions

Solid–liquid phase transitions of metals and alloys play an important role in many technical processes. Therefore, corresponding numerical process simulations need adequate models. The enthalpy method is the current state-of-the-art approach for this task. However, this method has some limitations regarding multicomponent alloys as it does not consider the enthalpy of mixing, for example. In this work, we present a novel CALPHAD-informed version of the enthalpy method that removes these drawbacks. In addition, special attention is given to the handling of polymorphic as well as solid–liquid phase transitions. Efficient and robust algorithms for the conversion between enthalpy and temperature were developed. We demonstrate the capabilities of the presented method using two different implementations: a lattice Boltzmann and a finite difference solver. We proof the correct behaviour of the developed method by different validation scenarios. Finally, the model is applied to electron beam powder bed fusion—a modern additive manufacturing process for metals and alloys that allows for different powder mixtures to be alloyed in situ to produce complex engineering parts. We reveal that the enthalpy of mixing has a significant effect on the temperature and lifetime of the melt pool and thus on the part properties.

Complementary Feeding: Tradition, Innovation and Pitfalls.

According to WHO, "complementary feeding (CF) is the process starting when breast milk alone or infant formula alone is no longer sufficient to meet the nutritional requirements of infants, and therefore, other foods and liquids are needed, along with breast human milk or a breastmilk substitute". CF is one of the most important "critical and sensitive periods" in human life: indeed, timing and approaches to solid foods introduction in an infant's nutrition are of utmost importance as potential epigenetic factors from infancy to adulthood. CF is also deeply influenced by each country and single-family traditions, culture, and beliefs. The aim of our narrative review is to analyze traditional CF practices, including innovative and alternative ones that emerged in the last decades, such as baby-led weaning or plant-based weaning, and to evaluate their effects on the risk of developing non-communicable diseases. Moreover, we will discuss pitfalls and misunderstandings that pediatricians frequently have to face when dealing with complementary feeding. Health care professionals must not have prejudices against parents' wishes or traditions about CF; rather, they should support and educate them in case of any alternative CF choice, always pursuing the infant's adequate growth, neuro- and taste development, and the achievement of correct eating behavior as the primary goal.

Knowledge, attitude and practices of insulin therapy among patients with type 2 diabetes: a cross-sectional study

ObjectivesThis study aimed to assess the knowledge, attitude and practices of patients with type 2 diabetes on insulin regarding insulin therapy.DesignA cross-sectional study.SettingThis study was conducted at the Dubai Diabetes...

Evolved version of Advanced Weather Awareness System in the COAST Project: latest developments and validation

In the framework of the COAST (Cost Optimized Avionics SysTem) project, the Integrated Mission Management System (IMMS) has been developed, a technology aimed to automatically optimize the trajectory of Small Air Transport (SAT) vehicles considering, among possible obstacles, weather conditions, air-traffic and terrain. It is based on the interaction of the evolved versions of three systems, realized within COAST, including the Advanced Weather Awareness System (AWAS), devoted to provide on-board data regarding weather hazards monitored and forecast. The Evolved-AWAS technology has been developed by introducing several enhancements to its baseline version, in order to generate additional information required by IMMS for trajectory optimization. The current work describes the latest developments of Evolved-AWAS and the tests carried out to validate the prototype. All the new functionalities were tested verifying the correct generation of output data needed by IMMS and their visualization into the HMI (Human Machine Interface). The positive results of the performed tests ensured the proper functioning of the software, allowing its integration in the IMMS technology. Finally, the paper reports the outcomes of the last COAST flight demonstration campaign held in June 2023, which revealed the correct behaviour of the Evolved-AWAS, as well as of the overall IMMS.

Meta-analysis of KAP toward COVID-19 in Chinese residents.

During the coronavirus disease-2019 (COVID-19) pandemic, there have been many studies on knowledge, attitudes, and practices (KAP) toward prevention of COVID-19 infection in China. Except for symptomatic treatment and vaccination, KAP toward COVID-19 plays an important role in the prevention of COVID-19. There is no systematic evaluation and meta-analysis of KAP toward COVID-19 in China. This study is the earliest meta-analysis of KAP toward COVID-19 in China's general population. Hence, this systematic review aimed to summarize the knowledge, attitudes, and practices (KAP) of Chinese residents toward COVID-19 during the pandemic. Following the PRISMA guidelines, articles relevant to COVID-19 KAP that were conducted among the Chinese population were found in databases such as Scopus, ProQuest, PubMed, EMbase, Web of Science, Cochrane Library, China Biology Medicine, China National Knowledge Infrastructure, CQVIP, Wanfang and Google Scholar. A random-effect meta-analysis is used to summarize studies on knowledge, attitudes, and practice levels toward COVID-19 infection in China's general population. Fifty-seven articles published between August 2020 and November 2022 were included in this review. Overall, 75% (95% CI: 72-79%) of Chinese residents had good knowledge about COVID-19, 80% (95% CI: 73-87%) of Chinese residents had a positive attitude toward COVID-19 pandemic control and prevention (they believe that Chinese people will win the battle against the epidemic), and the aggregated proportion of residents with a correct practice toward COVID-19 was 84% (95% CI: 82-87%, I2 = 99.7%).In the gender subgroup analysis, there is no significant difference between Chinese men and Chinese women in terms of their understanding of COVID-19. However, Chinese women tend to have slightly higher levels of knowledge and a more positive attitude toward the virus compared to Chinese men. When considering the urban and rural subgroup analysis, it was found that Chinese urban residents have a better understanding of COVID-19 compared to Chinese rural residents. Interestingly, the rural population displayed higher rates of correct behavior and positive attitudes toward COVID-19 compared to the urban population. Furthermore, in the subgroup analysis based on different regions in China, the eastern, central, and southwestern regions exhibited higher levels of knowledge awareness compared to other regions. It is worth noting that all regions in China demonstrated good rates of correct behavior and positive attitudes toward COVID-19. This study reviews the level of KAP toward COVID-19 during the pandemic period in China. The results show that the KAP toward COVID-19 in Chinese residents was above a favorable level, but the lack of translation of knowledge into practice should be further reflected on and improved. A subgroup analysis suggests that certain groups need more attention, such as males and people living in rural areas. Policy makers should pay attention to the results of this study and use them as a reference for the development of prevention and control strategies for major public health events that may occur in the future. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=348246, CRD42022348246.

A new random walk method for simulating heat flow and temperature distribution in three-dimensional discontinuous systems

Numerical methods for analyzing diffusion phenomena involving strong discontinuities and complicated interfaces are of great scientific and technical importance. In this paper, we extend the existing step-balanced random walk, which overcomes the problem of detailed balance of a random walker in three-dimensional (3D), diffusion-tensor discontinuous systems, to particle density (ρ) discontinuous systems, and introduce volumetric heat capacity C and temperature T by considering ρ as heat density, i.e., ρ=CT, to apply it to thermal problems. Two types of thermophysical simulations are demonstrated: one is steady-state heat flow due to a temperature difference at the end surfaces on a two-phase slab model unit cell with periodic boundary conditions; the other is the time variation of temperature distribution due to heat diffusion from a point heat source in a repeated two-phase slab model with no periodic boundary conditions. We see the correct behavior of heat and temperature expected in 3D discontinuous systems composed of two phases with anisotropic thermal conductivity. The applicability to problems other than pure diffusion and the limitations of the method are also discussed.

Unveiling Faulty User Sequences: A Model-Based Approach to Test Three-Tier Software Architectures

Context:When testing three-tiered architectures, strategies often rely on superficial information, e.g., black-box input. However, the correct behavior of software-intensive systems based on such architectural pattern also depends on the logic hidden behind the interface. Verifying the response process is thus often complex and requires ad-hoc strategies. Objective:We propose an approach to identify faults hidden behind the presentation layer. The model-based approach uses an architectural abstraction called managed component Data Flow Graph (mcDFG). The mcDFG is aware of the interactions between all layers of the architecture and guides the generation of tests based on different mcDFG coverage criteria to identify faults in the business logic. Method:To evaluate the approach viability, we consider a three-tiered web application and 32 faults. The fault detection capability is assessed by comparing a set of test suites created by following our method and a set of test suites developed by utilizing traditional testing strategies. Results:The collected data show that the proposed model-based approach is a viable option to identify faults hidden in the logic layer, as it can outperform standard strategies based solely on the presentation layer while keeping the number of test cases and number of interactions per test case low.

ACADEMIC CULTURE INSYEKH ABDUL HALIM HASAN BINJAI INSTITUTE

This research aims to analyze (1) the Implementation of Lecturer and Student Academic Ethics at the Syekh Abdul Halim Hasan Binjai Institute, (2) the Implementation of Lecturer and Student Academic Activities at the Syekh Abdul Halim Hasan Binjai Institute, (3) the Implementation of Lecturer and Student Academic Work at the Sheikh Institute Abdul Halim Hasan Binjai. This type of research is qualitative research with a phenomenological approach: the research data collection instrument used observation, interviews, and documentation techniques. The results of the discussion of research data obtained the following conclusions: (1) Implementing academic ethics for lecturers and students on the Syekh Abdul Halim Hasan Binjai Institute campus applies various forms of sound and correct academic attitudes and behavior values. (2) Implementation of academic activities for lecturers and students on the Syekh Abdul Halim Hasan Binjai Institute campus has implemented all activities while in the campus academic environment, starting from learning activities, research, service, and other activities that support the tri dharma of higher education. (3) Implementing the academic work of lecturers and students on the Syekh Abdul Halim Hasan Binjai Institute campus has produced scientific essays based on facts and written according to the applicable writing methodology.

Change or paradox: the double-edged sword effect of organizational crisis on employee behavior

PurposeBased on cognitive appraisal theory of stress, this study develops an integrated model to examine the double-edged sword effect and boundary conditions of the impact of organizational crisis on employee behavior.Design/methodology/approachThis study collected 672 employees’ data through three stages of longitudinal follow-up. Hierarchical regression analysis and SPSS macro process were used to test the hypotheses.FindingsThe paper finds that organizational crisis induces unethical pro-organizational behavior through enhanced job insecurity and foster taking charge by stimulating career calling. Employee resilience negatively moderates the relationship between organizational crisis and job insecurity as well as the indirect effects of organizational crisis on unethical pro-organizational behavior through job insecurity. Conversely, it positively moderates the association between organizational crisis and career calling and the indirect effects on taking charge through career calling.Research limitations/implicationsThis study not only expands the research on the mechanisms of organizational crisis' effects on employees' behaviors but also provides practical guidance for corporate managers on how to respond to organizational crisis.Practical implicationsThe following insights are available to organizations and managers: first, this study confirms that organizational crisis can be perceived as threatening stressors that create job insecurity, which in turn leads to pro-organizational unethical behavior. Therefore, managers in organizational crisis should focus on stress regulation and guidance, pay timely attention to changes in the mindset of employees to reduce job insecurity, and strictly prohibit unethical pro-organizational behavior. They should promptly calm and control the atmosphere of panic and anxiety in the organization, do a good job of coordinating the division of labor, reduce personnel conflicts and contradictions, create a good organizational climate and reduce employees' sense of stress and negative perceptions of organizational crisis, thus reducing job insecurity and being able to meet the challenges in a better state. Secondly, this study confirms that employees also perceive organizational crisis as challenges and develop career calling, which in turn inspires proactive change behaviors. This suggests that managers in organizational crisis should promote the positive perception of organizational crisis as challenge, stimulate the career calling of employees in organizational crisis and call on and encourage employees to actively adopt taking charge. Therefore, managers should promptly give employees work affirmation, rewards and punishments, enhance the sense of participation and intrinsic motivation of subordinates, improve self-efficacy and self-confidence levels, effectively reduce the negative perception of organizational crisis, awaken positive psychological energy within individuals, increase their sense of belonging to the organization and thus, increase employees' awareness of the positive challenges of organizational crisis, stimulate employees' career calling through positive and optimistic beneficial pressure drive them to lead the corresponding changes in the crisis. Finally, this study confirms that employees' own resilience can change the double-edged sword effect of organizational crisis. Employees with high resilience are more likely to see organizational crisis as challenge and are thus more likely to develop career calling and are more inclined to initiate change, while employees with low resilience are more likely to see organizational crisis as threat, are more negatively affected by them, develop greater job insecurity and are, thus, more inclined to commit unethical pro-organizational behaviors. This reflects the fact that organizations should constantly cultivate employees' resilience and enhance their cognitive toughness at the same time. For instance, the organization can regularly use promotional lectures and scenarios to help leaders and employees establish corporate ethics, strengthen moral beliefs and correctly understand the nature of unethical affinity behavior. Managers should encourage and advocate positive and correct behaviors such as overcoming difficulties, positive innovation and positive suggestions to promote the sustainable and healthy development of the organization.Social implicationsThe results of this study can increase the organization’s understanding of the negative effects of crisis, help the organization take measures to manage and guide the employees in organizational crisis, more effective and targeted functional changes within the organization, reduce stress damage and improve the efficiency and effectiveness of crisis management. It is also beneficial to improve competitiveness and foresight in the organization’s industry and enhance organizations and employees’ resilience.Originality/valueThis study explores the double-edged sword effect of organizational crisis on employees’ behavior from the perspective of the cognitive appraisal theory of stress, which theoretically opens up a new research perspective, enriches the research in the fields of organizational crisis and taking charge, pro-organizational unethical behavior relationship and practically provides theoretical guidance for enterprises and managers on how to effectively respond to organizational crisis from the employees, which is of great practical significance.

Computing the frequency-dependent NMR relaxation of 1H nuclei in liquid water.

We present a computational framework for reliably determining the frequency-dependent intermolecular and intramolecular nuclear magnetic resonance (NMR) dipole-dipole relaxation rates of spin 1/2 nuclei from Molecular Dynamics (MD) simulations. This approach avoids the alterations caused by the well-known finite-size effects of translational diffusion. Moreover, a procedure is derived to control and correct for effects caused by fixed distance-sampling cutoffs and periodic boundary conditions. By construction, this approach is capable of accurately predicting the correct low-frequency scaling behavior of the intermolecular NMR dipole-dipole relaxation rate and thus allows for the reliable calculation of the frequency-dependent relaxation rate over many orders of magnitude. Our approach is based on the utilization of the theory of Hwang and Freed for the intermolecular dipole-dipole correlation function and its corresponding spectral density [L.-P. Hwang and J. H. Freed, J. Chem. Phys. 63, 4017-4025 (1975)] and its combination with data from MD simulations. The deviations from the Hwang and Freed theory caused by periodic boundary conditions and sampling distance cutoffs are quantified by means of random walker Monte Carlo simulations. An expression based on the Hwang and Freed theory is also suggested for correcting those effects. As a proof of principle, our approach is demonstrated by computing the frequency-dependent intermolecular and intramolecular dipolar NMR relaxation rates of 1H nuclei in liquid water at 273 and 298K based on the simulations of the TIP4P/2005 model. Our calculations are suggesting that the intermolecular contribution to the 1H NMR relaxation rate of the TIP4P/2005 model in the extreme narrowing limit has previously been substantially underestimated.

Perspectives on Self-Harm and Suicidal Ideation in Nigeria: A Mixed-Methods Study of Patients, Family Caregivers, Clinicians, and the Public

Background Suicide and self-harm are global disease burden that contributes significantly to years of lost life and mortality. Despite the increasing rates of suicide and self-harm in Nigeria, this topic is understudied. Methods A mixed-methods design was adopted. Study 1 interviewed n = 18 participants (n = 11 clinicians; n = 5 patients with a history of self-harm and suicide ideation; and n = 2 caregivers). All interviews were audio-recorded, transcribed verbatim, and analyzed using IPA. Study 2 surveyed n = 562 non-clinical sample about their tolerance toward self-harm and the data was analyzed using One-way ANOVA in SPSS. Results Study 1 qualitative findings showed substance use, perceived rejection and social isolation were considered predisposing factors for suicide and self-harm. Cultural and religious beliefs shaped help-seeking behaviours. Although Study 2 found no significant differences in demographic characteristics concerning public tolerance toward persons with a history of self-harm, 64% believed that individuals who died by suicide would face punishment after death; 51% believed that victims of attempted suicide are a source of shame to their families; and 33.8% agreed that dying by suicide is the correct behaviour. Conclusions Patients with a history of self-harm and suicidal ideation consider family members and close friends as valuable sources of support. Due to the potential clinical implication of cultural and religious beliefs, as shown in the present study’s findings, the authors recommend a co-development of culturally appropriate psychological intervention for persons with a history of self-harm and suicidal ideation to be tested in randomized control trials.

Parenting and Disciplinary Behavior on Elementary School Student Learning Outcomes

This research is motivated by the fact that many students still need to be more disciplined in obeying the rules. This research aims to analyze the influence of parenting patterns on student learning outcomes, the influence of disciplinary behavior on student learning outcomes, and the influence of parental parenting and corrective behavior on student learning outcomes. This research is quantitative research with a correlational type. The population in this study was all students, totaling 74 students. The sample in this study used the entire population. The data collection methods used are questionnaires and documentation. The data collection instrument uses a questionnaire sheet. Data analysis techniques use validity, reliability, classical assumption tests, multiple linear regression analysis, hypothesis testing, and coefficient of determination. The results of data analysis show that, first, parental parenting influences student learning outcomes. Second, there is no influence of disciplinary behavior on student learning outcomes partially. Third, there is a simultaneous influence of parental parenting and corrective behavior on learning outcomes. It is concluded that good parenting and corrective behavior can improve the learning outcomes of elementary school students.

A Data-Based Hybrid Chemistry Acceleration Framework for the Low-Temperature Oxidation of Complex Fuels

The oxidation of complex hydrocarbons is a computationally expensive process involving detailed mechanisms with hundreds of chemical species and thousands of reactions. For low-temperature oxidation, an accurate account of the fuel-specific species is required to correctly describe the pyrolysis stage of oxidation. In this study, we develop a hybrid chemistry framework to model and accelerate the low-temperature oxidation of complex hydrocarbon fuels. The framework is based on a selection of representative species that capture the different stages of ignition, heat release, and final products. These species are selected using a two-step principal component analysis of the reaction rates of simulation data. Artificial neural networks (ANNs) are used to model the source terms of the representative species during the pyrolysis stage up to the transition time. This ANN-based model is coupled with C0–C4 foundational chemistry, which is used to model the remaining species up to the transition time and all species beyond the transition time. Coupled with the USC II mechanism as foundational chemistry, this framework is demonstrated using simple reactor homogeneous chemistry and perfectly stirred reactor (PSR) calculations for n-heptane oxidation over a range of composition and thermodynamic conditions. The hybrid chemistry framework accurately captures correct physical behavior and reproduces the results obtained using detailed chemistry at a fraction of the computational cost.