Volume 7 Issue 10 2025

The rapid digital transformation across various sectors in India, driven by initiatives like 'Digital India' and a burgeoning digital economy, has profoundly reshaped the operational landscape for industries. Concurrently, this increased reliance on digital infrastructure has escalated the exposure to sophisticated and persistent cyber threats. Traditional, signature-based cybersecurity measures are increasingly proving inadequate against evolving attack vectors, zero-day exploits, and advanced persistent threats (APTs). This research paper comprehensively explores the pivotal role of Artificial Intelligence (AI) in bolstering cybersecurity within the Indian industrial context. It delves into the diverse applications of AI, including predictive threat intelligence, anomaly detection, automated incident response, and vulnerability management, examining their potential to enhance resilience against cyberattacks. Furthermore, the paper meticulously analyzes the unique challenges faced by Indian industries in adopting AI for cybersecurity, such as data privacy concerns, skill gaps, infrastructure limitations, and regulatory complexities. Simultaneously, it highlights the significant opportunities presented by AI, considering India's technological prowess, growing digital ecosystem, and government support for innovation. By synthesizing existing literature, governmental reports, and industry insights, this paper provides a robust framework for understanding the current landscape, identifying strategic imperatives, and offering recommendations for a more secure and AI-driven cybersecurity future for Indian industries.

This study proposes a conceptual framework examining how Strategic Human Resource Management (SHRM) practices, Innovation Capability (IC), and Cross-Functional Collaboration (CFC) influence Organizational Development (OD) and Business Performance (BP) in the Thai private sector. Grounded in Systems Theory and the Input–Process–Output (IPO) model, the framework includes both direct and mediating pathways. Prior research supports the positive impacts of SHRM (Agyabeng-Mensah et al., 2020), IC (Fan, 2024), and CFC (Kim & Aggarwal, 2016) on organizational effectiveness. OD functions as a key mediator, converting internal capabilities into sustainable performance outcomes (Li & Wang, 2023). The model offers theoretical and managerial implications for enhancing strategic alignment and competitiveness.

Background: Seasonal dynamics can markedly influence primary metabolite levels in trees, yet quantitative evidence for Ficus benghalensis L. (banyan) across tissues is limited. Objectives: To evaluate seasonal variation in protein and carbohydrate contents in wood, stem, and leaf tissues, and to assess qualitative test outcomes along with quantitative differences and statistical significance. Methods: A factorial design (Season: Summer, Monsoon, Winter × Tissue: Wood, Stem, Leaf; n = 6 per cell) was simulated to illustrate a rigorous workflow. Protein (mg/g FW) and total carbohydrate (mg/g FW) were quantified (e.g., Lowry/Bradford and phenol–sulfuric acid methods). Two-way ANOVA tested Season, Tissue, and interaction effects; Tukey HSD provided pairwise comparisons. Results: Leaves showed the highest protein content, particularly in the monsoon, while carbohydrates peaked in wood and stem during summer. ANOVA indicated significant main effects and interaction (see Results). Conclusion: Tissue identity and season jointly shape primary metabolite profiles in F. benghalensis, emphasizing timing and tissue choice in sampling for biochemical studies.

The Philippine Constitution of 1987 enshrines safeguards for democracy and national sovereignty. However, evolving demographic and economic conditions challenge its capacity to address emerging governance needs and global competitiveness. This case study examines two proposed constitutional amendments: (1) reducing the minimum eligibility age for the Vice President from 40 to 35 years old, and (2) increasing allowable foreign corporate ownership from 40 percent to 60 percent. Using a qualitative case study approach, the paper synthesizes comparative constitutional practices, economic performance data, and governance theories to assess the viability of these reforms. The study concludes that these amendments would broaden leadership opportunities, strengthen democratic representation, attract foreign investment, and align the Philippines with regional integration goals—while maintaining adequate safeguards through subsequent legislation.

This piece explains the emerging threat landscape characterized by AI-powered cyberattacks and outlines multidisciplinary solutions aimed at deflecting next-generation threats in computer networks. Advanced artificial intelligence is revolutionizing attack methods at a rapid rate to facilitate the creation of adaptive malware, automated phishing, and highly advanced exploits that can bypass traditional security. With nearly 40% of all AI-enabled cyberattacks, organizations are confronted with threats that are evolving in real time and can strike vulnerabilities at unprecedented speeds. In response to these challenges, this work surveys cutting-edge defense strategies that integrate data science, computer science, engineering, and policy multidisciplinary approaches. Relevant innovations addressed include explainable AI techniques, decentralized threat detection by swarm intelligence, federated learning models for privacy-oriented security, and generative adversarial networks for adversarial attack environment modeling. The work also accounts for hybrid human-AI collaboration and ethical issues at the heart of developing transparent, resilient, and accountable cyber defense. Through integrating industry and academia insights, the article demonstrates how interdisciplinary collaboration is central to creating resilient, adaptive cybersecurity systems. Not only do these innovations advance automated threat response and intelligence sharing, but they also lead to trusted, future-proof digital spaces.

ALL is a malignant disease, and the most common malignancy in children, for ALL like other cancers are caused by the combination of genetic susceptibility and the interaction of exogenous and endogenous exposure. There are six well-defined epigenetic processes that change chromatin organization: (a) ATP-dependent chromatin remodelling complexes; (b) DNA methylation; (c) covalent histone modification; (d) histone variants; (e) nuclear dynamics; and (f) chromatin remodelling complexes and non-coding RNA (ncRNA), such as long ncRNA, and microRNA (miRNA/miR) (3). Alterations of DNA methylation are the earliest epigenetic events that have been associated with cancer development in cancer cells. The PER (Period) gene family is an essential component of the circadian clock. Highly significant correlations described in various studies between the cancer and PER genes. Abnormal mutations of the PER gene may help initiate and promote malignancies. Method: This study was carried out in AlHadbaa adult specialized hospital, which was the private pathological investigation center in Mosul during September and October 2023, included 35 children (3-10) years old. The sample were classified into 2 group the first one include 25 children with leukaemia and the second one include 10 control sample. 2ml from venous blood sample which collected from the Childs and divided into two groups for first group to put it in EDTA tube for laterally used for DNA extraction and methylation and the second contain put in tube with trizol for laterally use for RNA extraction. The research involved three stages. The first level is sensing the gene expression level of the PER2genes. One, quantification of microRNA 44a that regulates gene expression and two, percentage of DNA methylation on the promoter of downstream genes by qPCR. The value of gene expression for PER2 gene as the result of this study was 0.78 and for microRNA is 3.09.

DNA damage leads to mutations and epimutations that occur through a process of natural selection. MiR-96-5p was first recognized as a 23-nucleotide miRNA, and substantial evidence has demonstrated its association with cell proliferation and apoptosis. miR-96-5p represents a significant oncogenic miRNA in the context of breast cancer. Poly [ADP-ribose] polymerase (PARP1) serves as a crucial component in the DNA repair process. this study aimed to detect the correlation some types of ncRNA genes with activity of PARP1 gene in women with breast cancer. This study includes 40 women who received confirmed diagnoses of breast cancer, alongside 20 healthy participants who served as controls. And detect the levels of gene expression for PARP1, MiR-96-5p, snoRNA and lncRNA. Our study showed increase in gene expression for MiR-96-5p (5.451) and PARP1 gene (4.791) in blood samples, and snoRNA (5.083), lncRNA (6.110) and PARP1 genes (4.341) in biopsy samples compare with control group 1.0. Also this result showed decrease in gene expression for MiR-96-5p (2.516), snoRNA (0.5329) and lncRNA (0.6432) in biopsy biopsy samples compare with healthy samples. The concussion for this study can depend on MiR-96-5p as molecular marker in breast cancer. Also the miRNA was more abundant in the blood and could be utilized for disease diagnosis, whereas lncRNA levels were elevated in the tissue.

The variation of circadian rhythum genes is involved in mental disorders in kids, and the disrubance of circadian rhythm considered as a risk factor to the development of most mental disorders. Our aim was to study the estimated the role of miRNA molecules( miRNA24, miRNA449a, and miRNA102 on regulated for Per1, Per2, and Per3) and DNA methylation on gene expression of circadian clock genes .The study sample comprised of 40 patient of kids their ages range between (2 – 12 years ) having mental disorders , and 20 sample of healthy kids as a control . The venous blood sample is distribute into two tubes: first tube (EDTA tube) to extracted DNA, second tube (Trizol tube) to extracted RNA. The study topics were divided into 3 sections: first, determining the level of gene expression for Per1, Per2, and Per3 genes using the qRT-PCR technique. Second section: determination of the level of Non-coding RNA molecules that regulate Per family genes using the qRTPCR technique. The third section measures the percentage of methylation in the promoter of Per family genes using the PCR technique.

This bibliometric analysis examines global research trends in obesity management through ketogenic diet and intermittent fasting interventions from 2000 to 2025. Using comprehensive searches of Scopus databases, we analyzed publication patterns, author collaborations, institutional contributions, and thematic evolution in this rapidly expanding field. The analysis revealed exponential growth in research output, with publications increasing from modest volumes in 2001 to over 350 documents by 2023. Mark P. Mattson emerged as the most influential author, demonstrating extensive collaborative networks across interdisciplinary teams. Geographic analysis identified the United States, China, and Europe asdominant contributors, while journals like Frontiers in Nutrition and Nutrients served as primary dissemination platforms. Co-citation analysis revealed nine distinct thematic clusters representing mature research networks spanning metabolic physiology, clinical interventions, and behavioral approaches. Keyword analysis highlighted human-centered research emphasis, with "obesity," "ketogenic diet," and "intermittent fasting" as core terms, alongside emerging concepts like gut microbiota and metabolic flexibility. Both ketogenic diets and intermittent fasting demonstrate significant shortterm weight loss and metabolic improvements through enhanced fat oxidation, improved insulin sensitivity, and reduced inflammation. However,evidence reveals substantial individual variation in responses and limited longterm safety data. Current research gaps include insufficient evaluation of sustainability, potential risks, and effectiveness across diverse populations. The findings indicate that while these interventions represent promising obesity management strategies, future research requires large-scale, longduration clinical trials integrating personalized medicine approaches. Cross-disciplinary collaboration between nutrition science, endocrinology, and behavioral medicine is essential for developing evidencebased, individualized treatment protocols for sustainable obesity management.

AI technology developments that largely improve the quality of user services, facilitate the automation process, and raise accessibility levels are a big step academically for the libraries of the universities. Not to Mention, these innovations bring along new threats to libraries, such as those related to intellectual property, privacy, and data that are vulnerable due to inadequate library cybersecurity measures. The present study points at the best techniques to alleviate the mentioned threats by assessing the potential and already established AI technologies for cybersecurity aimed at academic libraries. This research will investigate AI-based security technology, find important technology gaps and develop a realistic model for academic libraries to practice cybersecurity stewardship timelessly. The study will rely on expert interviews, institutional case studies, and a literature review, and the results from the research will be pointing out the need for cyber risk governance being proactive, cybersecurity talent development, and ethical artificial intelligence adoption for the purpose of protecting information systems in libraries against constant and new cyber-attacks.

In the contemporary context of increasingly congested skies and evolving operational demands, the modernization of Air Traffic Management (ATM) systems emerges as a strategic imperative to ensure efficiency, safety, and environmental sustainability across the global aviation ecosystem. This study presents a comparative analysis of two distinct yet functionally convergent air traffic management paradigms—Collaborative Decision Making (CDM), as implemented in major European airports under the auspices of EUROCONTROL, and the Next Generation Air Transportation System (NextGen), a widescale technological modernization program spearheaded by the Federal Aviation Administration in the United States. By adopting a qualitative methodology grounded in documentary research and critical review of academic and institutional sources, the article investigates how each system contributes to operational efficiency, stakeholder coordination, delay reduction, and enhanced situational awareness. Particular attention is paid to the technological underpinnings, governance models, and collaborative mechanisms that characterize each approach. The findings underscore the complementary nature of both systems in addressing the pressing challenges of capacity and predictability in high-density airspace environments. Furthermore, the study identifies avenues for international convergence, emphasizing the relevance of harmonized standards and interoperable platforms as enablers of a more resilient, adaptive, and globally integrated air traffic management framework.

Water samples from Thengoda and Malegaon's urban and rural areas are used to assess the water quality in five blocks. where water samples from each block are examined for the physico-chemical condition of samples of water. Numerous quality parameters are assessed in physico-chemical analysis, including as pH, specific conductivity (SP), total dissolved solids (TDS), total hardness, according to WHO water quality guidelines; also, the current study examined the classification of water samples from five blocks based on TDS, anions, cations, and TH. All of the water samples had nearly neutral pH values. In comparison to rural water, urban water had higher TDS, conductivity, and hardness. Every parameter was within the acceptable range. The findings were presented and discussed.

Artificial intelligence (AI) technologies are gaining increasing prevalence across a wide range of domains. Beyond their various applications, research has also highlighted their potential benefits in educational contexts. This study employed a qualitative case study design to explore the experiences of special education teachers regarding the use of AI technologies in educational settings. The participants consisted of 19 special education teachers working in schools affiliated with the Ministry of National Education across different regions of Turkey. Data were collected through two separate focus group interviews and analyzed using a content analysis approach. The findings revealed that special education teachers made limited use of AI technologies in their instructional processes, primarily due to their insufficient knowledge and familiarity with these tools. Nevertheless, it was also found that AI technologies contributed to reducing teachers’ workload by supporting the preparation of various activities tailored for students with special needs. However, regional disparities among schools in Turkey, as well as the financial requirements associated with AI technologies, were identified as key factorslimiting their broader implementation. The study recommends enhancing current teachers’ knowledge through practical in-service training programs on AI technologies. Additionally, incorporating relevant courses into teacher education undergraduate programs is suggested to ensure that future teachers graduate with the necessary competencies to integrate AI technologies into educational practices effectively.

This study investigates the causal relationships among leadership style, communication effectiveness, employee motivation, team management, and organizational performance within the context of AIA Thailand, a leading life insurance organization. Grounded in the Input–Process– Output (IPO) model, the research conceptualizes leadership style, communication effectiveness, and employee motivation as input factors that influence team management as a process variable, which subsequently affects organizational performance as an output variable. The study employs a quantitative research design using structural equation modeling (SEM) to examine the hypothesized relationships among the five constructs. Data were collected from employees and team leaders across various departments within AIA Thailand through a structured questionnaire. The findings reveal that leadership style, communication effectiveness, and employee motivation each have a positive and significant impact on team management. In turn, team management exerts a strong direct effect on organizational performance. Among the examined relationships, leadership style demonstrates the highest total effect on performance, both directly and indirectly through team management. Communication and motivation also play crucial roles in fostering collaboration, trust, and engagement among team members, leading to improved operational efficiency and customer satisfaction. Furthermore, the mediating role of team management confirms the process-oriented assumption of the IPO model, showing that effective team management serves as the key mechanism through which leadership, communication, and motivation translate into superior performance outcomes. This study contributes to both theory and practice by providing an integrated framework for understanding the interplay between human and managerial factors that influence organizational performance. The findings offer valuable implications for leadership development, communication systems, and motivation strategies in the life insurance industry and other service-based organizations.