Ability Of Individuals Research Articles

Impact of motor education levels and circuit training on enhancing wrestling techniques among adolescent athletes

Background Problems: Wrestling is a compulsory course that can improve physical strength, discipline, and strategic skills and student learning outcomes. However, the learning outcomes are still not optimal due to inconsistent training, limited technique understanding, and a lack of independent training opportunities. Research Objectives: The purpose of this study is to evaluate the effect of motor education level and circuit training on proficiency in learning wrestling martial arts techniques. Methods: This study used an experimental design with a pretest-posttest control group where there are two groups, the high motor ability group and the low motor ability group. The population consists of 40 students, and a sample of 20 students was selected using purposive sampling techniques based on certain criteria. Motor ability in this study is defined as an individual's ability to learn and develop motor skills, which is used to measure how quickly and efficiently a person can learn new motor movements. Data collection was done by measuring the level of motor ability and evaluating the techniques of wrestling after a period of practice. Data analysis was conducted using SPSS 23 statistical software to evaluate the learning outcomes of the basic techniques of wrestling. Findings/Results: The results of the data analysis showed that overall, there were no significant differences between the two groups. However, when looking closely at the level of motor skills, there are differences in the post-test scores between students with high and low motor skills. Conclusion: The conclusions of the study showed that although there were no significant differences between the two groups, the high motor skills group showed more consistent improvements. Future research could focus on the development of physical and mental skills such as endurance, strength, and discipline, which are important in improving wrestlers’ performance.

A Review of Artificial Intelligence-Based Dyslexia Detection Techniques.

Dyslexia is a learning disorder affecting an individual's ability to recognize words and understand concepts. It remains underdiagnosed due to its complexity and heterogeneity. The use of traditional assessment techniques, including subjective evaluation and standardized tests, increases the likelihood of delayed or incorrect diagnosis. Timely identification is essential to provide personalized treatment and improve the individual's quality of life. The development of artificial intelligence techniques offers a platform to identify dyslexia using behavior and neuroimaging data. However, the limited datasets and black-box nature of ML models reduce the generalizability and interpretability of dyslexia detection (DD) models. The dimensionality reduction technique (DRT) plays a significant role in providing dyslexia features to enhance the performance of machine learning (ML)- and deep learning (DL)-based DD techniques. In this review, the authors intend to investigate the role of DRTs in enhancing the performance of ML- and DL-based DD models. The authors conducted a comprehensive search across multiple digital libraries, including Scopus, Web of Science, PubMed, and IEEEXplore, to identify articles associated with DRTs in identifying dyslexia. They extracted 479 articles using these digital libraries. After an extensive screening procedure, a total of 39 articles were included in this review. The review findings revealed various DRTs for identifying critical dyslexia patterns from multiple modalities. A significant number of studies employed principal component analysis (PCA) for feature extraction and selection. The authors presented the essential features associated with DD. In addition, they outlined the challenges and limitations of existing DRTs. The authors emphasized the need for the development of novel DRTs and their seamless integration with advanced DL techniques for robust and interpretable DD models.

Exploring the relationship between self-stigma and resilience among people living with HIV: a cross-sectional study

HIV is a disease that not only affects physical health but also carries a heavy psychological burden, primarily through self-stigma. Self-stigma can lead to low self-esteem, helplessness, and social isolation, weakening resilience or an individual's ability to survive and adapt to life's challenges. However, there is a gap in knowledge regarding the specific mechanisms by which resilience can mitigate the impact of self-stigma on PLHIV. Whether resilience can completely neutralize the effects of self-stigma or only partially is a question that still requires further answers. This study aims to find out the relationship between self-stigma and resilience among people living with HIV. This research used an observational research design using a cross-sectional approach. 150 HIV patients at Six Public Health Centre of Semarang City were involved in using purposive sampling techniques. The data was gathered using the Indonesian version of CD-RISC and the Indonesian version of the Self-Stigma Questionnaire. Spearman rank correlations were used to analyze the data. The health research ethics committee of the faculty of nursing at Universitas Islam Sultan Agung has approved this study as ethically appropriate. The results found a relationship between self-stigma and resilience where a p-value of 0.006 < α (0.05) with a contingency coefficient value of 0.222. The self-stigma and resilience have a weak correlation. Self-stigma can weaken the ability to create resilience in PLHIV, although the impact may vary depending on other factors. Nurses or health workers need to pay attention to PLHIV, who experience self-stigma, to rise and be resilient while being HIV positive.

Evidence of the Long-Term Protective Effect of Moderate-Intensity Physical Activity on Cognitive Function in Middle-Aged and Elderly Individuals: A Predictive Analysis of Longitudinal Studies.

To investigate the effects of different intensities of physical activity (PA) on cognitive function in middle-aged and elderly individuals, and to predict future trends in cognitive ability using longitudinal data to assess the long-term role of PA in cognitive preservation. Data from the China Health and Retirement Longitudinal Study (CHARLS) were utilized. Mixed-effects models were employed to analyze the impacts of low-intensity PA (LPA), moderate-intensity PA (MPA), and vigorous-intensity PA (VPA) on overall cognition, episodic memory, and mental intactness. Random forest and XGBoost machine learning methods were employed to further validate the effects of PA. ARIMA models predicted future cognitive trends under the influence of PA. MPA demonstrated significant advantages in preserving cognitive function, particularly in overall cognition and episodic memory. While LPA had some protective effects, they were less significant than those of MPA, and VPA did not show advantages. Machine learning methods confirmed these findings. ARIMA model predictions indicated that the protective effects of MPA on cognitive function are likely to persist in the future. Moderate-intensity physical activity is associated with the preservation of cognitive ability in middle-aged and elderly individuals and may continue to provide this benefit in the future; however, further in-depth research is needed for confirmation.

Exploring the Complex Relationship between Psychological Stress and Fertility: Implications for Population Growth in Developing Countries

Uncontrolled population growth has raised serious concerns among future policymakers. Although fertility rate has declined substantially over time, in developing countries the rate is still very high. Most of these countries face serious issues such as; severe poverty, malnutrition, unemployment, homelessness, financial insecurity, and medical insufficiency, leading to psychological distress. This article explores the mechanisms of psychological stress and its potential effects on human fertility. An attempt is made to differ from the existing claim that stress is anti-steroidogenic. This counter was based on earlier studies on adaptation of acute stress and overcoming stress stimuli. Which have asserted that individual adaptive abilities can alter the negative outcome of psychological stress depending on genetic, environmental, and behavioural factors. One of such adaptations comes from mitochondrial efficiency. An extensive energy demand during stress is achieved through competitive mitochondrial biogenesis. Earlier studies have noted that psychological stress triggers mitochondrial biogenesis. Thus, theoretically, mitochondrial biogenesis may also contribute in augmenting quality of sperm. In conclusion, stress induced biogenesis of mitochondria may contribute in enhancing fertility. Future studies on the degree of psychological stress and its possible retaliation through mitochondrial biogenesis, and subsequent responses to metabolic, and mechanical pathways, would open new avenues in understanding human fertility.

Diabetes and Driving: A Statement of the American Diabetes Association.

Many people with diabetes in the U.S. will seek or currently hold a license to drive. For many, a driver's license is essential for everyday life. Considerable discussion has focused on whether, and the extent to which, diabetes may be a relevant factor in determining driver ability and eligibility for a license. This statement addresses such issues in relation to current scientific and medical evidence. A diagnosis of diabetes on its own is not sufficient to make judgments about an individual driver's ability or safety. This statement provides an overview of existing licensing rules for people with diabetes in the U.S., addresses the factors that affect driving ability, identifies general guidelines for assessing driver fitness and determining appropriately tailored licensing restrictions, and provides practical guidance for health care professionals regarding clinical interventions and education for people with diabetes.

Thought-Controlled Computer Applications: A Brain–Computer Interface System for Severe Disability Support

This study introduces an integrated computational environment that leverages Brain–Computer Interface (BCI) technology to enhance information access for individuals with severe disabilities. Traditional assistive technologies often rely on physical interactions, which can be challenging for this demographic. Our innovation focuses on creating new assistive technologies that use novel Human–Computer interfaces to provide a more intuitive and accessible experience. The proposed system offers four key applications to users controlled by four thoughts: an email client, a web browser, an e-learning tool, and both command-line and graphical user interfaces for managing computer resources. The BCI framework translates ElectroEncephaloGraphy (EEG) signals into commands or events using advanced signal processing and machine learning techniques. These identified commands are then processed by an integrative strategy that triggers the appropriate actions and provides real-time feedback on the screen. Our study shows that our framework achieved an 82% average classification accuracy using four distinct thoughts of 62 subjects and a 95% recognition rate for P300 signals from two users, highlighting its effectiveness in translating brain signals into actionable commands. Unlike most existing prototypes that rely on visual stimulation, our system is controlled by thought, inducing brain activity to manage the system’s Application Programming Interfaces (APIs). It switches to P300 mode for a virtual keyboard and text input. The proposed BCI system significantly improves the ability of individuals with severe disabilities to interact with various applications and manage computer resources. Our approach demonstrates superior performance in terms of classification accuracy and signal recognition compared to existing methods.

Frontier AI developers need an internal audit function.

This article argues that frontier artificial intelligence (AI) developers need an internal audit function. First, it describes the role of internal audit in corporate governance: internal audit evaluates the adequacy and effectiveness of a company's risk management, control, and governance processes. It is organizationally independent from senior management and reports directly to the board of directors, typically its audit committee. In the Institute of Internal Auditors' Three Lines Model, internal audit serves as the third line and is responsible for providing assurance to the board, whereas the combined assurance framework highlights the need to coordinate the activities of internal and external assurance providers. Next, the article provides an overview of key governance challenges in frontier AI development: Dangerous capabilities can arise unpredictably and undetected; it is difficult to prevent a deployed model from causing harm; frontier models can proliferate rapidly; it is inherently difficult to assess frontier AI risks; and frontier AI developers do not seem to follow best practices in risk governance. Finally, the article discusses how an internal audit function could address some of these challenges: Internal audit could identify ineffective risk management practices; it could ensure that the board of directors has a more accurate understanding of the current level of risk and the adequacy of the developer's risk management practices; and it could serve as a contact point for whistleblowers. But frontier AI developers should also be aware of key limitations: Internal audit adds friction; it can be captured by senior management; and the benefits depend on the ability of individuals to identify ineffective practices. In light of rapid progress in AI research and development, frontier AI developers need to strengthen their risk governance. Instead of reinventing the wheel, they should follow existing best practices. Although this might not be sufficient, they should not skip this obvious first step.

A Enhanced Process for Examining Resumes and Organizing Candidates Through Statistical Methods

Selecting suitable applicants is an important part of the screening process in a recruitment consulting firm. In general, traditional recruiting practices are used by the majority of businesses and consulting organizations. The primary strategy is employing resume-based screening techniques to attract exceptionally skilled researchers and developers for high-tech enterprises. Typically, the organization evaluates the individual's qualifications, professional history, employment experience, motivations, specialist abilities, and past creative projects as shown in their résumé in order to select the most suited candidate. The study sought to examine and mechanize efficient screening techniques utilized by consulting firms, emphasizing the need of ongoing research in comprehending evolving customer requirements and enhancing the screening process. Various techniques typically employ automated image analysis and heuristic methods to extract tabular bioinformatics data from resumes, with the aim of gathering pertinent information. This research employs optical character recognition (OCR) as it circumvents the inherent automotive engineering of the document and has been demonstrated to be a viable approach. Resumes in PDF format were gathered via convenience sampling and systematic random sampling, and data was then extracted from the resume documents by OCR. The pertinent data is subsequently analyzed using statistical techniques such as the Chi-square test, percentage studies, and the weighted average approach based on factors such as experience, technical/non-technical skills, employability, career advancement, salary expectations, and role/designation expectations. The proposed approach empowered the selection of the appropriate resumes for the subsequent recruitment progression.. sections. Such references are made by indicating the section number, for example, “In Sec. 2 we showed...” or “Section 2.1 contained a description....” If the word Section, Reference, Equation, or Figure starts a sentence, it is spelled out. When occurring in the middle of a sentence, these words are abbreviated Sec., Ref., Eq., and Fig. At the first occurrence of an acronym, spell it out followed by the acronym in parentheses, e.g., charge-coupled diode (CCD). Key Words: Resume screening process; Optical character recognition; Recruitment; Chi-square test, subsequently analyzed pertinent data; efficient screening technique; appropriate resume; PDF;

Cultivating Leadership and Teamwork in Medical Students Through Rowing: A Phenomenological Study.

This study was conducted to allow us to understand the subjective experiences of medical students participating in rowing exercise classes at a medical school in South Korea and to derive implications for medical education. Accordingly, we analyzed their reflective journals, focusing on leadership and teamwork development. The study involved 40 second-year premedical students, and Colaizzi's analysis was employed to understand and structure their experiences. The comprehensive analysis revealed 149 meaningful statements expressing students' thoughts and experiences regarding the rowing exercise. From these statements, 13 meanings were synthesized, resulting in nine themes and four overarching categories, which provided a multilayered understanding of students' experiences. The factors that enhanced teamwork included communication, trust, respect among team members, and a sense of responsibility. By contrast, the hindering factors were competitiveness, impatience, and avoidance of responsibility. Before the class, a mix of anticipation, excitement, and dissatisfaction regarding the rowing exercise course was observed. However, after the class, students realized that the role of the entire team, rather than individual ability, is crucial, and collaboration with peers is key-the concept of shared leadership. This study is significant in that it demonstrates rowing's potential as a team sport to serve as an effective program for fostering collaboration and leadership within the medical school curriculum.

Effects of Non-Pharmacological Interventions on Empathic Abilities of Individuals with Autism Spectrum Disorder: A Systematic Review of Literature with Meta-Analysis

Effects of Non-Pharmacological Interventions on Empathic Abilities of Individuals with Autism Spectrum Disorder: A Systematic Review of Literature with Meta-Analysis

Individual refresh ability modulates irrelevant speech effect in reading: Evidence from eye movements

This study randomly recruited 245 college students aged between 18 and 21 years old who had never studied Spanish and selected 60 subjects (30 with high refresh ability and 30 with low refresh ability) based on their scores on a refresh ability test. The mixed experimental design of 2 (refresh ability: high, low) ×3 (background sound: meaningful, meaningless, silent) was adopted. The Eyelink1000 eye tracker was used to record the eye movement data of the subjects when reading the sentences of scientific papers. At the same time, meaningful (news broadcasting) or meaningless (Spanish) background sounds are played. Based on this, the moderating effect of individual refresh ability with the impact of irrelevant speech was investigated. According to the results, the interaction between refresh ability and the meaningful background sound condition was significant, and it had an impact on the totalreading time, gaze count, regression count, total fixation time, and regression-path duration. However, the interaction with the meaningless background sound condition was not significant. The results showed that: (1) refresh ability significantly regulates the irrelevant speech effect in reading, compared with individuals with high refresh ability. The meaningful background sounds have a greater negative impact on the reading of individuals with low refresh ability; (2) the regulating effect of refresh ability occurs in the late stage of vocabulary processing and semantic integration. The results supported the attentional capture theory and found that the irrelevant speech effect in Chinese reading is modulated by individual refresh ability, which mainly acts on semantic components in late reading processing.

The Smaller you in a Bigger World: The Relationship Between Foreign Experiences and Intellectual Humility

As the world is becoming a more connected and interdependent place, a fast growing literature has examined the effects of foreign experiences on cognitive and psychological outcomes. The current research seeks to explore the relationship between living abroad and intellectual humility. To this end, we conducted four methodologically diverse studies ( N = 643) using multiple populations and complementary measures of intellectual humility. In Study 1, we provided correlational evidence that students with international living experience manifested greater intellectual humility than peers lacking such background. Study 2 conceptually replicated the results of Study 1 by using a different measure of intellectual humility and a more diverse population. In Study 3, we found that individuals with international living experiences reported elevated intellectual humility compared to those who had plans to live abroad but had not yet done so. Study 4 adopted an experimental approach and provided evidence for the causal role of foreign experiences in influencing intellectual humility. Moreover, the results showed that the breadth, rather than the duration, of foreign experiences was predictive of greater intellectual humility. Taken together, these findings suggest that foreign experiences can impact the modest personality and meta-cognitive ability in individuals engaging internationally as sojourners.

Linear Regression Algorithm the Effect of Game Time on Students' Reading Interest

Education plays an important role in shaping an individual's character and abilities, with students' interest in reading as the main foundation for intellectual development and critical thinking skills. However, in today's digital age, there has been an alarming decline in students' interest in reading, who are more interested in spending their free time playing games than reading. The development of information technology and digital entertainment such as smartphones, tablets, and computers has changed students' habits in utilizing their free time. Playing games is the main choice, while reading interest is marginalized, which has a negative impact on students' literacy skills. The decline in reading interest has serious implications, especially in Indonesia, where the Human Development Index (HDI) in the field of education is still low compared to neighboring Malaysia. This low interest in reading is influenced by the lack of reading habits from an early age and unequal access to education. Good reading skills not only affect academic achievement but also the development of critical, analytical, and creative thinking skills. This study aims to understand the factors that affect students' interest in reading, especially the influence of game time. The Simple Linear Regression method was used to analyze the relationship between game play time and students' reading interest, which provided valuable insights for educators and parents in designing effective educational strategies. The study focused on SMP Negeri 7 Binjai and used a linear regression method to analyze data on students' reading and gaming habits. The results of the study show that excessive game playing time, an average of 9 to 10 hours per day, has an impact on increasing and decreasing students' interest in reading. This data was analyzed using the RapidMiner application, which showed a correlation between playing games and students' reading interest.

The need for health literacy in the 21st century

Health literacy is the ability of individuals to understand, evaluate and use health information effectively in their daily lives and should not be reduced to the simple ability to read or write about health-related topics. With appropriate health literacy, citizens will gain greater autonomy in their self-care, improve their quality of life and make better use of health services, thereby reducing health service overload, inequalities and costs. To increase health literacy, it is necessary to identify the specific health needs of today's society and to implement educational programmes that include content and pedagogical methods that address these needs. Addressing these needs requires a diagnostic analysis embedded in each culture and continuous re-evaluation of the scope and effectiveness of the programmes implemented from an interdisciplinary perspective. Currently, most community and school-based programmes are based on disease prevention and maintaining good sexual and environmental health. Since the pandemic, there has also been an increase in programmes to achieve and maintain good mental health, combined with the use of various applications to prevent anxiety and depression. However, there is still a large gap in the evaluation of the impact and effectiveness of these programmes. In general, most of these programmes need to be adapted to the digital age and have a comprehensive and holistic design and purpose. In conclusion, we believe that health literacy is essential in the 21st century and that it must be based on the promotion of healthy habits and behaviours as well as an understanding of one's own health.

Sustainable Personalized E-Learning through Integrated Cross-Course Learning Path Planning

This study addresses the growing need for sustainable and personalized learning solutions in online education by optimizing cross-course learning paths. With the increasing volume of e-learning resources, students often struggle to select appropriate courses and learning paths that align with their individual abilities and goals. A novel cross-course learning path planning model is proposed, which integrates resources from multiple courses using modified matching functions based on Item Response Theory (IRT) and a knowledge graph. This model effectively matches learner attributes, such as abilities, learning styles, and goals, with material attributes like difficulty, types, and prerequisites. An innovative variable-length continuous representation (VLCR) and an improved differential evolution algorithm are employed to optimize the multi-attribute matching (MAM) model, enhancing learning personalization. Results from numerical experiments indicate that cross-course learning paths significantly enhance learning outcomes for a wide range of learners, with over 45% benefiting from improved matches compared to single-course paths. Additionally, 70% of learners experienced similar or better results with cross-course learning. This approach not only promotes efficient learning but also supports sustainable educational practices, preparing educators and learners to meet the challenges of a rapidly changing world.

Regulation of the NF-κB/NLRP3 signalling pathway by Shenghui Yizhi decoction reduces neuroinflammation in mice with Alzheimer’s disease

Background Shenghui Yizhi Decoction (SHYZD) has exhibited the capacity to enhance cognitive function and learning abilities in individuals diagnosed with Alzheimer’s disease (AD) while ameliorating pre-existing neuroinflammation. Nevertheless, the precise mechanism underlying its therapeutic effects on AD remains to be elucidated. Methods Twenty-four male SAMP8 mice were randomly divided into three groups, and eight male SAMR1 mice were used as a blank control, to examine their learning and spatial memory abilities. The expression of amyloid β1-42 (Aβ1-42) was detected by immunohistochemical staining of hippocampal tissue. ELISA was used to detect the interleukin-1β (IL-1β), interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α) expressions. Real time PCR was used to detect NOD-like receptor thermal protein domain associated protein 3 (NLRP3), cysteine protease-1 (Caspase-1), and IL-1β mRNA expression. Western blot was used to detect nuclear factor kappa-B (NF-κB), inhibitor of NF-κB α (IκBα), IκB kinase α (IKKα), NLRP3, Caspase-1, and IL-1β protein expression. Results In this study, SAMP8 mice, employed as an AD model, displayed markedly diminished abilities in terms of spatial localization, navigation, and spatial exploration when compared to the blank control group. Additionally, there was a substantial upregulation of Aβ1-42 expression in the hippocampus of these mice, along with a significant increase in the levels of inflammation-associated factors, including IL-1β, IL-6, TNF-α, NLRP3, Caspase-1, as well as the NF-κB pathway-related proteins, namely, NF-κB, IκBα, and IKKα. Moreover, after treatment with positive drugs (donepezil hydrochloride) and SHYZD, the learning abilities of the mice exhibited significant improvements. Furthermore, the hallmark AD protein Aβ1-42, inflammatory factors, and NF-κB/NLRP3 signalling pathway proteins were significantly reduced. These findings collectively suggest that SHYZD exerts a therapeutic effect on AD. Conclusion In summary, the specific molecular mechanisms through which SHYZD alleviates AD and the potential role for SHYZD in the NF-κB/NLRP3 signalling pathway are identified in this study.

Investigating DTI-ALPS index and its association with cognitive impairments in patients with alcohol use disorder: A diffusion tensor imaging study

BackgroundThe glymphatic system, a physiological pathway recently identified, has attracted considerable attention for its potential role in the pathophysiology of neurological disorders. Despite significant research efforts, the exact contribution of the glymphatic system to alcohol use disorder (AUD) remains largely elusive. This study was a secondary analysis by analyzing a subset of the original data to examine changes in the ALPS index and determine its association with cognitive abilities in individuals with AUD. MethodsWe recruited 40 individuals with AUD and 40 healthy controls (HC). All subjects underwent MRI scans and clinical cognitive scale assessments. Diffusion tensor imaging along the perivascular space (DTI-ALPS) index was used to estimate the differences in glymphatic activity between both groups, and linear regression analysis was used to examine the association between ALPS index and cognitive performance measures. ResultsA statistically significant difference in the ALPS index was observed between both groups (p < 0.001), with the AUD group showing statistically lower ALPS index compared with the HC group (p < 0.001). Additionally, a positive correlation was identified between the ALPS index and MoCA/MMSE scores, indicating that higher ALPS index is indicative of better cognitive performance in individuals with AUD. ConclusionsThe findings of this study provide evidence of ALPS index in individuals with AUD and establish a link between the ALPS index and the cognitive impairments observed in AUD patients. These findings might suggest the importance of glymphatic activity in the emergence of cognitive deficits among those impacted by AUD, but a stronger link between ALPS index and glymphatic system is needed to better understand the relationship between glymphatic function and healthy outcomes.

Evaluating the Impact of a Rebt-Based Suicide Prevention Program for Individuals with Alcohol Use Disorders

The purpose of this study was to evaluate the effectiveness of a suicide prevention program based on Rational Emotive Behavior Therapy (REBT) for individuals with Alcohol Use Disorder. Theoretical Framework: The study is grounded in the Rational Emotive Behavior Therapy (REBT) framework, which aims to reduce irrational beliefs, one of the root causes of emotional disturbances, including depression and suicidal ideation. Methods: A nonequivalent quasi-experimental design was employed, involving participants from two Addiction Management Integrated Support Centers in K Province, South Korea. Forty-eight individuals were divided into two groups: 24 in the experimental group and 24 in the control group, each assigned to a different center. The experimental group underwent 10 REBT sessions over 5 weeks, in addition to standard interventions. The control group received only the usual interventions. Outcome variables measured included irrational beliefs, depression, suicidal ideation, and problem-solving ability. Data were collected at baseline and again five weeks after the program ended. Statistical analyses were conducted using chi-square, Fisher's exact test, and independent t-tests. Results: Prior to the intervention, no significant differences in demographic characteristics or baseline outcome variables were observed between the two groups. After the intervention, the experimental group exhibited a significant reduction in irrational beliefs (t=2.36, p=.023), depression (t=3.80, p&lt;.001), and suicidal ideation (t=4.59, p&lt;.001) compared to the control group. Additionally, the experimental group demonstrated a significant improvement in problem-solving ability (t=4.59, p&lt;.001). Discussion/Implications: The study demonstrates that the REBT-based suicide prevention program was effective in reducing irrational beliefs, depression, and suicidal ideation, while also enhancing problem-solving ability in individuals with Alcohol Use Disorder. These results underscore the potential benefits of integrating cognitive-behavioral approaches like REBT into suicide prevention programs for this population. Originality/Value: This research contributes to the limited literature on suicide prevention programs tailored for individuals with Alcohol Use Disorder and offers valuable insights into the applicability of REBT in community-based mental health interventions. The findings suggest the importance of developing structured therapeutic programs that address both cognitive distortions and emotional well-being to prevent suicide in vulnerable populations.

EEG Evidence of Acute Stress Enhancing Inhibition Control by Increasing Attention.

Research about the impact of acute stress on inhibitory control remains a contentious topic, with no consensus reached thus far. This study aims to investigate the effects of acute stress on an individual's inhibitory control abilities and to elucidate the underlying neural mechanisms by analyzing resting state electroencephalogram (EEG) data. We recruited 32 male college students through participant recruitment information to undergo within-subject experiments under stress and non-stress conditions. Physiological indicators (cortisol and heart rate), self-report questionnaires, and behavioral data from the Stroop task were collected before, during, and after the experiment. Additionally, a five-minute eyes closed resting state EEG data collection was conducted during the Stroop task before. (1) Acute stress led to a reduction in the conflict effect during the participants' Stroop task in individuals. (2) Stress resulted in an increase in the power of the beta in the resting state EEG. (3) Acute stress caused an increase in the duration of class D and an increase in the transition probabilities from classes C and B to class D in the microstates of the resting state EEG. (4) Acute stress leads to an increase in beta power values in individuals' resting state EEGs, which is significantly negatively correlated with the reduction of the conflict effect in the Stroop task under stress. Acute stress can enhance individuals' attentional level, thereby promoting inhibitory control performance.