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The Role of Psychological Adaptation in the Process of Self-Realization of Gifted Students
No full textBackground: The gifted students' ability for psychological adaptation determines their effectiveness in achieving self-realization and successfully addressing educational and professional challenges.
Objective: The aim of the study was to assess the level of students' psychological adaptation and identify key factors affecting their academic and professional self-realization. The effectiveness of psychological interventions intended to improve adaptation processes was also analyzed.
Methods: The study employed the following methods as the psychodiagnostic tools: Psychological Adaptation Scale, Rosenberg Self-Esteem Scale, Emotional Quotient Inventory, and Student Self-Efficacy Scale. Experimental interventions included psychological training. Correlation analysis, multiple regression, and t-tests for dependent samples were used for data analysis.
Results: The results showed that the level of students' psychological adaptation increased from 3.85 to 4.45 (t = 5.20, p < 0.001) after psychological training. The level of stress resistance increased from 3.70 to 4.30 (t = 4.85, p < 0.001). The level of self-realization also increased from 3.95 to 4.55 (t = 4.95, p < 0.001). Correlation analysis revealed a significant positive relationship between students' emotional regulation, social support, and self-realization (r = 0.57, p < 0.01).
Conclusion: The practical significance of the study is that psychological training effectively develops adaptive skills. This increases the level of students' self-realization, which can be used for the development of university support programs. The prospects for further research include expanding the sample and examining the long-term effects of the interventions
Examining the Role of Deepfake Technology in Organized Fraud: Legal, Security, and Governance Challenges
Get PDFDeepfake technology has evolved astonishingly by applying artificial intelligence (AI) to inspire ultra-realistic audio and video content. Initially praised for its legitimate use cases in entertainment and education, deepfake technology has increasingly become a tool for organized fraud and other malicious purposes. This paper investigates the role of deepfake technology in enabling identity theft, financial fraud, and unlawful activities. By conducting a qualitative comparative analysis of three cases, this paper analyzes deepfakes' legal, security, and governance aspects, indicating that deepfakes have posed a massive threat at the national and global levels. Also, this research demonstrates how the current regulatory regimes cannot adequately mitigate these emerging threats. The results expose glaring deficiencies in accountability and enforcement, which are made even more glaring by the global character of the internet and the accelerative pace of technological innovation. This research provides implications of deepfake technology in organized fraud and offers policy recommendations to mitigate the threats and prevent misuse of deepfake technology in the future
Immunolocalization of Phospholipase C Zeta 1 in Water Buffalo Sperm and Its Role in Oocyte Activation
Get PDFThe present study aimed to investigate the expression and localization of Phospholipase C zeta 1 (PLCZ1) in water buffalo sperm and determine its localization pattern following the induction of early fertilization events. Initially, water buffalo semen under uncapacitated conditions underwent western blot analysis to detect and localize the PLCZ1 protein via immunofluorescence, utilizing antibodies specific to buffalo PLCZ1. In a parallel experiment, a subset of sperm underwent in-vitro capacitation in a medium containing bicarbonate, followed by treatment with a calcium ionophore to induce the acrosome reaction, providing evidence of capacitation. The findings revealed the detection of PLCZ1 as an immunoreactive band at approximately 77 kDa in buffalo sperm. Furthermore, immunolocalization of PLCZ1 in uncapacitated buffalo sperm showed predominant expression in the acrosome and post-acrosomal regions, with minimal reactivity in the tail region. Conversely, capacitated buffalo sperm exhibited a shift in PLCZ1 localization, with a prominent presence at the acrosomal cap region of the sperm head and reduced reactivity in the tail region. This translocation of PLCZ1 in capacitated sperm suggests early physiological activities, particularly in inducing calcium oscillation to initiate oocyte activation during fertilization. Moreover, the successful detection of PLCZ1 in buffalo sperm in the present study highlights its potential as a biological marker for screening bull fertility and genetic improvement in water buffaloes
Methods of Rehabilitation of Children through Eastern Martial Arts and their Impact on Health
No full textPurpose: This study aimed to evaluate the effectiveness of Eastern martial arts as a rehabilitation method for children and their impact on health outcomes.
Material and Methods: The research methodology involved a comprehensive three-month intervention program conducted at specialized rehabilitation centers in Bulgaria, including the National Sports Academy “Vassil Levski” Rehabilitation Center in Sofia and the Varna Martial Arts Therapy Center. The study included 128 children aged 5-17 years with various conditions who participated in twice-weekly, 60-minute adapted martial arts sessions. Physical parameters were evaluated using standardized tests, including the Bruininks-Oseretsky Test, astrometric platforms, and dynamometers, while psychological outcomes were assessed using validated scales.
Results: The analysis revealed significant physical improvements, with static balance enhancement of 54.9%, dynamic balance improvement of 18.2%, and overall motor proficiency increase of 26.3% across different martial arts disciplines. Psychological assessments demonstrated 50% improvement in emotional control, 50.8% enhancement in attention span, and also 46.2% reduction in anxiety levels. The implementation of martial arts-based rehabilitation programs achieved 82.6% adherence rates and 85.3% therapeutic goal achievement, with full integration models showing the highest success rates. Long-term monitoring revealed sustained improvements in cardiovascular fitness, with enhanced oxygen utilization and better recovery rates after physical exertion. Cross-environmental behavioral improvements showed 60.9% reduction in behavioral incidents at home and 56.4% in school settings.
Conclusion: These findings indicate that Eastern martial arts serve as effective complementary approaches in children’s rehabilitation programs in Bulgaria, offering comprehensive benefits for both physical and psychological development when properly implemented and adapted to specific therapeutic needs
Cyber Forensic Reporting: Benefits, Elements, Process, Expert Witnesses, and Ethical Considerations
Get PDFCyber forensic reporting creates a complete and evidence-based record. Appropriate cyber forensic reporting includes the investigation process with compliance and legal evidence, analysis, findings, and actionable recommendations for legal admissibility. In healthcare, cyber forensic reporting helps improve compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) and facilitates the detection of vulnerabilities. This paper deals with cyber forensic reporting, which includes its benefits, elements, and process; expert witnesses; and ethical considerations. Cyber forensic reporting in healthcare is introduced. Expert witnesses in healthcare cyber forensic reporting are significant. There is a need for the right experts, including experts with specialized experience and knowledge in both healthcare and digital forensics
The Evolution of Psychological and Emotional Effects of Visitation on Families of People Incarcerated in the United States
Get PDFPurpose: Recent research has explored the collateral effects of incarceration on families. This study extends this research by exploring the psychological and emotional effects of visitation on family members of people incarcerated.
Design: Data come from in-depth interviews with 35 participants who experienced an immediate family member’s incarceration. Transcripts of these interviews were analyzed using reflexive thematic analysis.
Findings: Results of a thematic content analysis show complex harms families suffer before, during, and after visitation and identify their sources. Findings further show how families became accustomed to a custodial environment and gradually draw on informal peer support networks developed over repeated visits to prison to mitigate the negative effects of visitation.
Conclusions: Policy interventions should focus on enhancing connections between incarcerated persons and their families. Policies should also prioritize respect, privacy, and meaningful engagement during visitation. Additionally, standardizing and improving the communication of rules that visitors must follow, the processes they must traverse, and the correctional officers who manage both would mitigate the psychological and emotional suffering of family members. Finally, family reunification programs should begin during incarceration to prepare individuals to engage with their families in healthy ways prior to their release and return home
Tensile Modulus Prediction of Glass Fiber/Stainless Steel Wire Mesh-Reinforced Hybrid Composites via Rule of Hybrid Mixtures
Get PDFHybrid composites have been considered emerging materials that have garnered the attention of researchers around the globe. Combining two kinds of reinforcement may balance their merits and demerits in hybrid composites. In this work, glass fiber/wire mesh-reinforced epoxy composites were prepared via vacuum infusion to minimize void formation. Non-hybrid wire mesh and glass fiber-reinforced composites were also fabricated for comparison purposes. The thicknesses of all the composite laminates were fixed at 4 mm. Tensile tests were performed at a cross-head displacement rate of 2 mm/min with reference to ASTM D3039 to obtain the modulus of composite laminates. Subsequently, the tensile modulus of each composite laminate was predicted using the Rule of Hybrid Mixtures (RoHM). A comparison was made between the modulus of the composite laminates obtained from the tensile tests and prediction using RoHM. In accordance with the results obtained, it was found that the incorporation of glass fiber increased the modulus of the hybrid composites but did not significantly improve their tensile strength. The highest modulus (22.6 GPa) was obtained in non-hybrid glass fiber-reinforced composites, which is 107.71 % greater than non-hybrid wire mesh-reinforced composites. When comparing the experimental and predicted tensile modulus of the glass fiber/wire mesh composite laminates, both results matched well, demonstrating a linear increase in the tensile modulus with an increase in glass fiber content. Overall, the percentage error of the prediction was in the range of 3 – 6 %, indicating a high accuracy of the RoHM
Self-Correction vs. Lecturer-Correction: Effects on Research Achievement and Alcohol Use in Intellectual Disabled Undergraduates in Federal Universities of Southern Nigeria
Get PDFAim: Within Nigerian universities, students with intellectual disabilities remain under-supported in terms of personalized instructional strategies that target both academic improvement and psychosocial well-being. The purpose of the study was to compare self-correction vs Lecturer-correction: Effects on research achievement and Alcohol use in Intellectual Disabled undergraduates in Federal Universities of Southern Nigeria. Method: This study adopted a quasi-experimental research design. The area of the study is Southern Nigeria. The population consists of all 3,092 students with intellectual disabilities enrolled in two selected federal universities in Southern Nigeria, specifically in Cross River and Akwa Ibom States. The sample size for this study was 120 final-year students with intellectual disabilities who depend on alcohol to cope with stress and improve self-esteem using a multi-stage sampling technique. Three instruments were used for data collection. They were the Research Achievement Test (RAT), the Interest Inventory Test (IIT), and the Alcohol Use Screening Tool (modified AUDIT). The screening criteria for alcohol dependence are that students must be 18 years and older, students must have a history of substance use, mental health conditions (depression, anxiety), and a history of use of medications contraindicated with alcohol. The study was validated by Psychology, Measurement, and Evaluation experts at the University of Calabar. The data collected were analyzed for internal consistency using the Cronbach Alpha method, which yielded a reliability index of 0.83. The test scores for the study were generated from pre-tests and post-tests using the Research Methods Achievement Test and Research Method Interest Inventory Test.
Mean and standard deviation were used to answer the research questions. The pretest-posttest mean gains of each strategy of the two strategies were computed. Also, the null hypotheses formulated for the study were tested at a 0.05 level of significance using Analysis of Covariance (ANCOVA).
Results: The findings revealed that student correction strategies are more effective than lecturer correction strategies in enhancing the research method achievement of students with intellectual disabilities. The self-correction strategy significantly improves student interest in research methods more than the lecturer-led correction approach. There is a significant difference in achievement between male and female students, regardless of the correction strategy used. No statistically significant difference in interest scores between male and female students taught research methods using either lecturer-correction or self-correction strategies. Male and female students differed in their alcohol use outcomes following instruction using either the self-correction or lecturers’ correction strategies.
Conclusion: Based on the result of the study, it was concluded that student correction strategies are more effective than lecturer correction strategies in enhancing the research method achievement of students with intellectual disabilities. The self-correction strategy significantly improves student interest in research methods more than the lecturer-led correction approach. There is a significant difference in achievement between male and female students, regardless of the correction strategy used. No statistically significant difference in interest scores between male and female students taught research methods using either lecturer-correction or self-correction strategies. Male and female students differed in their alcohol use outcomes following instruction using either the self-correction or lecturers’ correction strategies.
Recommendation: Given the superior effectiveness of student correction strategies over lecturer-led corrections in enhancing students’ achievement in research methods, it is recommended that educators integrate structured self-correction approaches into their teaching. This can be achieved through guided reflection exercises, peer review tasks, and the use of checklists or correction templates that promote independent learning and metacognitive development
A Novel Method for Viral Conjunctivitis Detection using CNN-Based Image Analysis
Get PDFViral conjunctivitis, also known as “Eye Flu,” presents significant public health challenges worldwide. India has recently witnessed a surge in cases, affecting numerous people and causing widespread concerns. This research delves into the realm of medical image processing and deep learning to address the pressing need for accurate and efficient detection of viral conjunctivitis, a highly contagious ocular infection. Leveraging advancements in computer vision and convolutional neural networks (CNNs), the study focuses on the development and evaluation of a robust diagnostic system capable of discerning viral conjunctivitis from other common forms of conjunctivitis, namely allergic and bacterial.
Challenges in using image processing for disease detection include the need for large amounts of descriptive data to train machine learning models, ensuring the accuracy and reliability of image analysis algorithms, and addressing data privacy and security concerns. Future directions in this field may include developing more advanced deep learning models that can handle complex medical imaging data, integration of imaging technology and other diagnostic tools to diagnose diseases and learn how to use it in real-time for fast processing. and more efficient diagnosis. Additionally, efforts should be made to standardize image processing protocols in different healthcare settings to facilitate sharing and comparison of medical imaging data for research and clinical purposes. Overall, more research and collaboration between medical, informatics, and image processing experts is essential in developing future image processing applications for disease detection.
The methodology encompasses the acquisition of a diverse dataset comprising annotated images of ocular conditions, rigorous preprocessing techniques to standardize image quality, and the implementation of three distinct CNN architectures: ResNet, VGG, and GoogleNet. These architectures were selected for their proven efficacy in medical image analysis and classification tasks. Through extensive experimentation and rigorous validation, the research elucidates the efficacy of each architecture in accurately classifying conjunctival diseases, with a particular emphasis on delivering actionable diagnostic outcomes
Bilal-G Family of Distributions with Applications to Biomedical and Reliability Engineering Data
Get PDFThis paper introduces the Bilal-G (B-G) family of distributions, a novel generator-based method for enhancing the flexibility of existing probability models to better accommodate complex data structures prevalent in biomedical and reliability engineering. Data from these fields frequently exhibit features like high skewness, significant outliers, and non-monotone hazard rates that challenge conventional distributions. Using the Bilal distribution as the generator, we construct the new family’s general cumulative distribution function (CDF) and probability density function (PDF), from which a key, parsimonious sub-model, the two-parameter Bilal-Exponential (BE) distribution, is derived. We thoroughly analyze the BE distribution’s properties, including its capability to model an increasing hazard rate, which is supported by Total Time on Test (TTT) plots of the application datasets. A comprehensive simulation study evaluates the performance of fifteen distinct non-Bayesian estimators, revealing that the Minimum Spacing Linex Distance (MSLNDE) method consistently provides the most accurate and precise parameter estimates across various sample sizes. Finally, the superiority of the BE distribution is demonstrated through its successful application to two real datasets: one on patient mortality rates and one on component failure times. For the mortality data (Data I), the BE model reduced the Akaike Information Criterion (AIC) by 1.99 units compared to the classical Weibull distribution. For the component failure data (Data II), the Bayesian Information Criterion (BIC) was reduced by 0.41 units compared to the best-fitting competing model (TIHTE), confirming the BE distribution’s exceptional goodness-of-fit and reliability as a practical lifetime model