Volume 13 | Issue 9

 Abstract

This paper presents the AI Enhanced Firewall (AIEF), an advanced cybersecurity solution that integrates Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) to strengthen traditional firewall mechanisms. Unlike conventional firewalls that rely primarily on static rule sets and signature-based filtering, the AIEF employs adaptive intelligence to detect, analyze, and mitigate sophisticated cyber threats in real time. With the rapid growth of malware, ransomware, and zero-day exploits, legacy firewalls often fail to provide sufficient protection against dynamic and evolving attack vectors. The proposed AIEF system leverages supervised and unsupervised learning models to automatically learn from network traffic patterns, identify anomalies, and apply predictive defense strategies. Using techniques such as behavior-based intrusion detection, anomaly detection, and reinforcement learning, the system adapts to new threats without requiring constant manual updates. Furthermore, the AI Enhanced Firewall integrates contextual understanding of network behavior and predictive blocking, ensuring proactive security rather than reactive defense. Its applications span enterprise networks, cloud infrastructure, IoT ecosystems, and critical sectors such as healthcare, banking, and defense. By combining AI-driven threat intelligence, automated decision-making, and adaptive learning, the AIEF enhances data confidentiality, integrity, and availability while minimizing false positives. This work demonstrates how next-generation AI-based firewalls can transform cybersecurity by creating an intelligent, resilient, and self-improving defense system against modern digital threats.

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 Keywords

AI Enhanced Firewall, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Cybersecurity, Intrusion Detection, Anomaly Detection, Threat Intelligence, Predictive Security, Network Protection, Data Privacy, Ethical AI, Reinforcement Learning, Cloud Security, IoT Security, Adaptive Defense, Cyber Threat Prevention, Zero-Day Attack Detection, Real-Time Monitoring.

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Growth serves as the primary global indicator of children's well-being, and adequate food intake is crucial for proper growth. Nutrition plays a significant role during the growth phase. According to estimates from WHO and UNICEF, malnutrition impacts the physical and mental functions of 2 billion children. The aim of the present study was to examine the awareness of nutrition and food habits among school-going children in Jeypore town. The study utilized a cross-sectional descriptive survey design. Data was collected from 250 school children using purposive sampling. Clinical signs were noted during data collection to evaluate nutritional deficiency diseases. The means and t-test were applied for data analysis. The results indicated that the parents of the children were knowledgeable about the nutritive value of food. Nutritional deficiency disorders were identified based on clinical signs. It was determined that the children exhibited poor eating habits. Commonly, the children either skipped breakfast, purchased snacks or junk food, ate between meals, or consumed soft drinks daily. There were no significant differences between boys and girls regarding their mean responses to food nutritive value or the eating habits they adopted. Promoting good eating habits and providing nutritional counselling to both parents and school children will not only enhance their nutritional well-being but also help them overcome current nutritional deficiency diseases.

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Awareness, nutritional status, school going children, food habits, nutritional counselling

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Abstract: This article examines how the Maggi controversy was debated on social media, where a substance, monosodium glutamate (MSG), was found above the permitted level in these noodles in India. Drawing on qualitative content analysis of Twitter discussions, the study explores how risk perceptions were amplified, contested, and reframed in digital spaces. Findings indicate that Social media discourse emphasised MSG as a health hazard and a symbol of corporate negligence rather than discussing scientific evidence. Twitter users simultaneously expressed fear, mobilised boycott calls, circulated humour and memes, and defended Maggi against allegations. These polarised debates show how food safety controversies in India are scientific disputes, sensationalism, and distrust in corporates and regulators. The article highlights the need for transparent, culturally sensitive, and evidence-based science communication strategies to address public concerns in food safety debates.

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Twitter, MSG, Maggi, food safety, public debate

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This study examines the impact of social media usage on the mental well-being and academic stress of college students in Kerala. The research employs a quantitative approach to measure daily time spent on various platforms and assess levels of academic stress and anxiety among respondents. It specifically analyzes the correlation between social media consumption patterns and psychological well-being indicators to determine if these platforms act primarily as a coping mechanism or a stressor. The study tests the hypotheses that there is no significant correlation between social media usage time and academic stress (H??), and no significant difference in anxiety levels between high-frequency and low-frequency users (H??). The findings aim to provide valuable insights for educators and mental health professionals in supporting student wellness.

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 Keywords

Social Media, Academic Stress, Mental Well-being, Anxiety, Self-esteem, College Students, Kerala, Coping Mechanism.

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The present paper aims to examine the traumatic and layered experiences of the Partition victims of East Bengal by exploring the intersection of history, memory, identity, and marginality in Sunil Gangopadhyay's Arjun. This nonlinear narrative presents a compelling tapestry of chaos, communal violence, loss, anguish, and alienation endured by the displaced. Through the life and struggles of the protagonist, Arjun, the author draws a parallel to the existential crisis and moral dilemma faced by Arjuna in the Mahabharata. It exhibits that the catastrophic event of Partition renders millions of people homeless and identity less, and how the affected fight against various forms of violence and marginalisation. The paper also explores how the experiences of Arjun show that the Partition was an act of political cynicism, and how the political elites failed to assess and control the fringe elements, who galvanised the common and illiterate masses into religious frenzy by exploiting their sensitivities. The bullying of Arjun by fellow Muslim classmates, but encouragement and appreciation of him by the Muslim teachers in school in East Bengal, lecherous male gazes and denial of assistance by Hindus during the painful migration to West Bengal, administrative apathy, bullying and deadly attacks from within community, and exploitation of the vulnerable offer new perspectives about the torments of the refugees.

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Partition, Communal Violence, Refugee, Trauma, Memory, Marginality.

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Postoperative small bowel obstruction (SBO) is a recognized complication of abdominal surgery, most often due to adhesions. Early recognition and appropriate management are critical to prevent morbidity. We report the case of a 53-year-old female who developed bowel obstruction 10 days after open appendicectomy. She presented with abdominal pain, distension, vomiting, and constipation. Radiological evaluation confirmed features of SBO. The patient was successfully managed conservatively with nasogastric decompression, intravenous fluids, electrolyte correction, and close monitoring. Symptoms resolved within 72 hours, and she was discharged in stable condition. This case highlights that, in the absence of strangulation or peritonitis, conservative management is a safe and effective treatment option for early postoperative SBO.

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Postoperative small bowel obstruction, Adhesions, Open appendicectomy, Conservative management

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 Abstract

Background:An elevated blood pressure level is called hypertension, and it has a global impact on the burden and mortality of cardiovascular disease. The force inside the body's major arteries is known as blood pressure, and it is frequently measured in both diastolic and systolic forms. Materials and Methods:The investigation was carried out at the Sree Ramakrishna Medical College of Naturopathy and Yogic Sciences and Hospital in Kulasekharam, Tamil Nadu, India. 20 hypertensive people took part in the research. After the goal of the study was explained, verbal consent was obtained. One of the characteristics of this investigation is the blood pressure measured using a sphygmomanometer both before and after the intervention. statistical analysis and result interpretation using JASP software version 0.19.3.Results:The data analysis was conducted using JASP software version 0.19.3. It is clear that naturopathic treatments significantly lessen the symptoms associated with systolic blood pressure (t -23.637, Sig 2tailed. < 0.001) and diastolic blood pressure dropped (t -28.185, sig 2tailed. < 0.001). The pulse rate dropped (t-12.348, sig 2 tailed < 0.001). Conclusion: Given the benefits of naturopathic biotherapies, it would be prudent to add them to conventional treatment regimens to help manage the symptoms of hypertension and reduce the side effects of pharmaceutical use. The goal of naturopathy is to reduce the root cause of hypertension in order to prevent and treat it. The noteworthy outcome shows that using an abdominal heating compress helps to regulate blood pressure and lowers the amount of stress we encounter on a daily basis.

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Hypertension, Abdominal heating compress, Pulse rate, Blood pressure.

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 Abstract

Silver nanoparticles (AgNPs) was synthesized from lemongrass extract, where lemongrass was dried and powdered. Then were soaked in sterile distilled water and boiled for 20minutes and filtered. The filtrate was employed for the synthesis of silver nanoparticles. The extract was coated to scripted Palm Leaf Manuscripts and observed for few months keeping one Palm Leaf Manuscripts as control without coating with the sample. In this study, lemongrass extract was successfully used to biologically synthesize AgNPs. In order to protect the PLM from harm and preserve it for both present and future use, preservation and conservation are related. Since it is nearly difficult to restore the old original manuscripts to their original state, they must be preserved. The knowledge concealed within the original documents will give research and development a new perspective. According to 'Constitution of India - 1950, In Part IV-A under fundamental Duties in article 51A "It shall be the duty of every citizen of India-point no. (f) to value and preserve the rich heritage of our composite culture." (Govt. of India,2015.). Therefore, its everyone duty is to preserve the heritage of India by preserving the PLMs.

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Nanoparticles, Lemongrass, Palm leaves, Aspergillus, Fusarium.

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This paper investigates John Dryden's Absalom and Achitophel (1681) as a work of political satire that fuses biblical allegory with Restoration political conflicts. While critics have long recognized Dryden's skill as a satirist, relatively fewer studies emphasize how allegorical representation functions as a political weapon to consolidate monarchical power. Through a close reading of the text and engagement with critical scholarship, this study analyzes Dryden's satirical strategies in portraying the Earl of Shaftesbury (Achitophel) and the Duke of Monmouth (Absalom). The paper employs a New Historicist framework to situate the poem within its political and cultural context, demonstrating that Dryden's satire reflects not only personal wit but also institutional ideology. Ultimately, the study argues that Absalom and Ahithophel exemplifies satire's dual role as a literary art form and as a persuasive tool of political propaganda in Restoration England.

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 Keywords

Restoration Literature,John Dryden,Satire,Allegory,Political Poetry

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Vasopressin V2 receptor (V2R) Autosomal Dominant Polycystic Kidney Disease (ADPKD) is closely linked with dysregulation of the vasopressin V2 receptor (V2R), and is hence a drug target. A general computational strategy of pharmacophore-guided virtual screening and structure-based molecular docking was utilized in this study to identify potential V2R modulators. The crystal structure of the human vasopressin V2 receptor (PDB ID: 6U1N) was validated and used as the target model. A 3-point pharmacophore model was constructed with Tolvaptan--a well-known V2R antagonist--as a reference, which includes important interaction features such as hydrogen bond donors/acceptors and hydrophobic cavities. A filtered group of compounds from the Zinc Drug database was further assessed with molecular docking using AutoDock Vina and CB-Dock. In the top contenders, CHEBI:130604 scored the highest binding energy with a Vina score of -10.0 kcal/mol, surpassing Tolvaptan (Vina score -9.7 kcal/mol). Other contenders were CHEBI:127778 (-9.1 kcal/mol), CHEBI:128672 (-8.4 kcal/mol), and CHEBI:125791 (-8.4 kcal/mol). Analysis of the V2R pocket showed large cavities, with Pocket C1 (volume: 9069 ?) and Pocket C5 (volume: 557 ?) being principal binding hotspots. The repeated interaction of high-affinity ligands to these pockets suggests their key role in ligand recognition and receptor modulation. These findings provide new candidate molecules with more favorable binding profiles than Tolvaptan and offer promising leads to the development of selective V2R antagonists for the therapy of ADPKD.

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 Keywords

ADPKD; Vasopressin V2 Receptor; Tolvaptan; Pharmacophore Modeling; Molecular Docking; Virtual Screening; Auto Dock Vina; CB-Dock; Binding Affinity; Drug Discovery; CHEBI:130604

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This study offers a thorough overview of current studies about the impact of new media on mental health and educational results, especially among adolescents. As digital technologies and media platforms like social media, online video content, and instant messaging grow quickly, young people are using new media more and more in their everyday lives. This study examines peer-reviewed publications, empirical investigations, and theoretical works produced in the last twenty years to comprehend the good and bad ramifications of this transition. The findings show that new media makes it easier to get educational materials, helps people study together, and makes people better at using technology, but it also has serious effects on mental health. These difficulties include more worry, trouble sleeping, trouble paying attention, mood swings, and trouble focusing on schoolwork. The research that were looked at show that modern media has both good and bad effects on learning and mental health. This study also points out gaps in current research, notably in cultural and regional contexts. It stresses the need for additional focused studies to look at how new media use patterns vary by age, gender, and setting. The research continues by asserting that a balanced approach to new media utilization, underpinned by awareness and regulation, is crucial for fostering healthy mental health and facilitating effective learning among kids.

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New Media, Mental Health, Learning

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Although the Internet, cellphones, artificial intelligence, and other forms of electronic communication are becoming more useful, they are also exposing young people to these kinds of connections, which endangers their physical and mental health. "Cyberbullying, a new potential threat in the digital society, and there is nothing anyone can do to stop it" -- attitudes on this are rather divided. It is imperative that everyone stays abreast of technology developments and participates actively in online forums that are prone to bullying. Most schools take bullying very seriously and work to eliminate it. The majority of educational institutions have anti-harassment and anti-bullying policies in place via their student conduct offices or disciplinary procedures. The research paper examines the effects of cyberbullying on society at large while developing an understanding of the concepts of cyberbullying. The research paper will conclude by giving suggestions to avoid the possible threat of cyberbullying.

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Cyberbullying, Digital Society, Information Technology.

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Water is fundamental to daily life and plays critical roles across numerous sectors. To address increasing water-related challenges, innovative solutions are being developed, such as adaptive management and advanced remote sensing, along with concepts like water security and global information integration. Dam safety, in particular, is becoming more critical as aging infrastructure, seismic activity, and extreme weather events increase the risk of dam damage or failure. In response, dam safety has become a top priority for national disaster management strategies. Governments are enacting regulatory measures to ensure dam safety, and various organizations are implementing both institutional and technical safeguards. one of the primary gaps in dam safety is the lack of standardized protocols for water release, especially in emergency situations.

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 Keywords

Water management, Dam safety, AI-driven dam management, Flood mitigation, Stacked Dense LSTM model, Real-time monitoring, Automated water release, Disaster management, Climate resilience, Cloud-based data storage, Predictive analytics, Emergency protocols, Community resilience, Water flow prediction

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 Keywords

o Zollinger-Ellison Syndrome (ZES) o Gastroenteropancreatic system o Gastric tumors o Duodenum o Pancreas o Gastrinomas o Hypergastrinemia o Parietal cell activation o Gastric mucosal thickening o Peptic ulcers o Diarrhea o Malabsorption o Steatorrhea o Bile salt precipitation o Gastroesophageal reflux o Multiple Endocrine Neoplasia type 1 (MEN1) o Biochemical tests o Secretory stimulation tests o Endoscopy o Imaging (STS, MRI, somatostatin receptor scintigraphy) o Proton Pum

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Background: Menopause is a significant physiological milestone in a womens life often accompanied by a range of physical,emotional and psychological changes. Aim : This cross sectional study aimed to the assess the level of knowledge and the prevailing attitudes towards menopause among perimenopausal women residing in Coimbatore district, Tamilnadu Objective: To assess the knowledge and attitude towards menopause among perimenopausal women in Coimbatore district . Methods: A descriptive cross seectional study was conducted among perimenopausal women aged 40-45 years in selected areas of coimbatore district .A structured questionnaire was used to evaluate the knowledge and attitude regarding menopause.data were analysed using descriptive and inferential statistic Results: The study examined the relationship between knowledge and attitude, found a statistically significant correlation, with a p-value of 0.010 indicates there is a meaningful link between how much women know about menopause and how they feel about it. Women who were more informed about menopause tended to have a more positive or balanced attitude, while those with less knowledge were more likely to hold negative or uncertain views. This finding reinforces the importance of health education and open conversations. By increasing awareness and providing accurate information, can help women approach menopause with more confidence and less fear, leading to better mental and physical health outcomes during this important life stage. Conclusion: The study hightlights the need for commuity -based awareness health related programs to educate perimenopausal women about menopausal improving knowledge can foster postive attitudes and better coping strategies, ultimately enhanceing womens quality of life during this transitional period

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 Keywords

Perimenopause, Attitude, Knowledge, Amenorrhea, Dyspareunia and Anovulation

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Creative Commons Attribution 4.0 and The Open Definition

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The enormous impact of technological innovations related to social media platforms on the mass media, especially the news media, has triggered a massive interest among the researchers who want to examine different aspects of this transformation. One of the distinctive characteristics of social media platforms is the algorithmic curation of news, which possesses the potential to influence news agendas. It should however, be kept in mind that the research in this field is limited. The role of media in society has been defined at least since the beginning of the last century as the one of an agenda-setter and public opinion influencers. The items in this agenda, however, are carefully selected, filtered and produced by a limited number of media corporations and other powerful organizations that have the resources and connections to do so. Therefore, these items will reflect the interests of the actors behind the production of this information.

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: Technological innovations, Social media platforms, Algorithmic curation, News, Media, Agenda-setting

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The effect of students' socio-economic background on their achievement-oriented motivation

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The effect of students' socio-economic background on their achievement-oriented motivation

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Abstract This study investigates the influence of Polyethylene Glycol (PEG-400) as a self-curing agent on the workability, mechanical strength, and durability of M25 grade concrete. PEG-400 was incorporated at 0%, 1%, 1.5%, and 2% by weight of cement. Experimental evaluations included slump cone test for workability, compressive, split tensile, and flexural strength tests, and durability assessments such as water absorption and mass loss. A comparative cost analysis between conventional concrete and PEG-based self-curing concrete was also conducted. Results indicated that PEG-400 enhances slump, compressive strength, and durability, with optimal performance observed at 1-1.5% dosage. Moreover, the 1% PEG-400 mix was found to be the most economical.

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Self-curing concrete, PEG-400, Compressive strength, Durability, Cost analysis

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Creative Commons Attribution 4.0 and The Open Definition

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In the present age of digital education, OER act as useful resources that provide free learning materials, support modern teaching practices, and help learners study on their own. The study explores the awareness and utilisation of open educational resources among pupil teachers in Balasore district. The primary objectives of the study are to examine the awareness of OER among pupil teachers, compare this awareness across academic streams i.e. Arts and Science, analyse the extent of OER usage, and assess differences in usage between Arts and Science pupil teachers. A descriptive method was adopted, and 60 pupil teachers were selected as sample by using simple random sampling. Self-made awareness scale and standardised rating scales by N. Ojha and A. Surana were employed for data collection. The findings indicate that the pupil teachers of Balasore district have average awareness of OER, with no significant difference between science and arts groups. Similarly, both groups showed comparable levels of OER usage, indicating consistent utilization across streams.

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open educational resources (OER), pupil teacher, awareness

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Creative Commons Attribution 4.0 and The Open Definition

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Sepsis is a life-threatening condition resulting from an infection that leads to systemic inflammation and organ dysfunction, often occurring in critically ill ICU patients. Timely detection is vital to enhance patient outcomes, as delayed intervention can result in serious complications and higher mortality rates. This paper proposes an AI-powered early sepsis detection system that leverages advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Temporal Convolutional Networks (TCN), to predict sepsis in ICU patients based on clinical data from the MIMIC-III/IV datasets. The system integrates Explainable AI techniques, such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations), to provide transparent insights into prediction factors, fostering clinician trust and informed decision-making. A real-time dashboard offers actionable alerts and visualizations, aiding clinicians in timely interventions. By improving prediction accuracy, optimizing resource allocation, and reducing ICU mortality rates, the system demonstrates significant potential for enhancing clinical outcomes and generating cost savings in critical care settings.

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 Keywords

Sepsis detection, Artificial Intelligence (AI), Machine Learning (ML), SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), Clinical decision support

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Creative Commons Attribution 4.0 and The Open Definition