bluuebunny/crossref_metadata_2025 huggingface dataset:
Managing Acute Limb Swelling In DVT With Adenocarcinoma
Authors: - Bathini Sai Kumar , - Apoorv Pratap Singh , - Saurabh Singhal , - Dhruv Jain , - Harsha Shahi
Published: January 2025

Deep vein thrombosis (DVT) is a potentially life-threatening condition often associated with malignancies, particularly adenocarcinomas. Malignancy-associated DVT is commonly a manifestation of Trousseau’s syndrome, characterized by a hypercoagulable state driven by tumor-related pro-inflammatory and pro-thrombotic mechanisms. Gallbladder adenocarcinoma, a rare and aggressive malignancy, predisposes patients to thromboembolic events, often serving as an early indication of the disease. A patient presented with progressive left lower limb swelling, low-grade intermittent fever, and localized inflammation over three months. Clinical examination revealed a tender, warm swelling in the subcutaneous plane without ulceration or discoloration. Laboratory findings showed an elevated D-dimer level of 5.0 µg/mL, with other parameters within normal limits. Doppler ultrasonography confirmed extensive DVT in the left lower limb, involving the great saphenous vein. PET-CT imaging identified gallbladder adenocarcinoma with metastasis to the liver, peritoneum, and lymph nodes. This case underscores the significant association between unprovoked DVT and malignancy, emphasizing the importance of advanced imaging techniques like PET-CT in diagnosing underlying malignancies and guiding timely interventions.
Examining the Role of Digital Tools and Online Resources in Supporting Moroccan High School Students’ Learning during Teachers’ Strikes
Authors: - Mounia Merzoug , - Adiba Bousfiha
Published: January 2025

Abstract: This research explores students’ learning experiences using digital tools during teachers strikes focusing on their ability to maintain interest in learning and manage their educational goals independently. A survey involving 82 Baccalaureate students, expected to sit for either a Regional or a National exam at the end of the 2023-2024 school year, was conducted to examine students’ satisfaction concerning using digital tools during Moroccan teachers’ strikes along with the challenges and impact on learning outcomes. The findings revealed that while these tools were essential to sustain students’ learning outside classroom walls, they could not replace nor compare to in-class face-to face interaction. These results are consistent with the broader research on the limitations of digital learning, which emphasizes the importance of human interaction, immediate feedback, and guided instruction-elements that are difficult to achieve through online platforms (Vygotsky, 1978).
Innovations in Automotive Safety: Preventing and Analysing Traffic Accidents
Authors: - Md. Imran Wahab, IPS
Published: January 2025

This study examines investigations related to vehicle components and safety features. Specifically, the study emphasizes the importance of analysing components such as brake systems, steering systems, tires, airbags, and data recorders in the reconstruction of accidents to uncover contributing factors. It concentrates on how mechanical failures or malfunctions in these systems can impair vehicle performance, leading to accidents. Additionally, the paper evaluates the effectiveness of advanced safety features, including Automatic Emergency Braking (AEB), Electronic Stability Control (ESC), and Driver-Assist Technologies (DATs) in preventing accidents. The literature review explores various safety tools, ranging from airbags to child car seats, highlighting their role in reducing fatalities and injuries. Studies show that these technologies, when properly maintained and combined with driver education and well-maintained roads for both daytime and nighttime driving, greatly improve road safety. This review underscores the ongoing need for innovation and the integration of safety systems to prevent accidents and improve traffic safety outcomes.
The Impact of Parental and Teacher Involvement on the Cognitive and Emotional Development of Children from Diverse Backgrounds
Authors: - Rabindra Saha
Published: January 2025

This study explores the combined effects of parental and teacher involvement on the cognitive, emotional, and social development of children from diverse backgrounds, highlighting their impact on problem-solving, emotional regulation, and social adaptation.
A Study of the Impact of Always-on Culture on Employee Health and Well-being at Magna Automotive India Pvt Ltd
Authors: - Aarthi K , - Mrs. S. Deepa
Published: January 2025

The research investigates the impact of the "always-on" culture at Magna Automotive India Pvt Ltd, characterized by constant connectivity and expectations of availability beyond working hours. Data collected from 80 employees through surveys and interviews reveals that this culture negatively affects work-life balance, leading to increased stress, burnout, reduced job satisfaction, and health issues like sleep disturbances and anxiety. Employees expressed a need for organizational interventions to promote well-being and work-life balance. The study emphasizes the importance of addressing these challenges through effective policies and practices. Limitations include the focus on one organization, self-reported data, and a short-term study scope, suggesting the need for broader, long-term research.
Mastering Integration Architectures with Workday Studio: A Framework for Building Scalable and Efficient Integrations
Authors: - Monu Sharma
Published: January 2025

In the modern business landscape, seamless data exchange between systems is essential for efficient operations. Workday Studio, a powerful integrated development environment (IDE), enables developers to create complex integrations within the Workday ecosystem, facilitating connectivity with external systems such as payroll, financial platforms, and other enterprise resource planning (ERP) solutions. Built on the widely used Eclipse platform, Workday Studio offers a versatile suite of tools for developing custom integration solutions, providing greater flexibility than other Workday integration options like connectors or the Enterprise Interface Builder (EIB). Although it operates outside the native Workday platform, Studio seamlessly integrates with Workday applications for deployment, scheduling, and monitoring of integrations.
Utilisation of Film and Digital Media for Political Communication: a Study on Telugu Actor K. Pawan Kalyan’s Strategies Used during Ap La Elections of 2024
Authors: - Ashwatha Narayana S L , - Dr. Rajeshwari R
Published: January 2025

Media as a 4th pillar of the democracy, which gives the voice to voiceless people. It enables the political leaders to communicate effectively with their true socio-political concern.
Guidelines Review for Malaysian Recommendation on Omega-3 Intake in Type 2 Diabetes Mellitus
Authors: - Gew Soon Peng , - Geeta Appannah , - Tay Sook Hui , - Syamimi Samah , - Cheah Yoke Kqueen
Published: January 2025

This review highlighted a fundamental dietary recommendation of ω-3 in-take for Malaysian T2DM patients through assessment of previous T2DM guidelines. Any adult T2DM evidence-based guideline or CPG was consid-ered for this review. Title and abstracts were screened based on the inclu-sion/exclusion criteria and the descriptive data were extracted. From 392 records, 30 were shortlisted; but only twelve were included. Six guidelines suggested fatty fish consumption, with three guidelines recommended at least two/three fatty fish serving weekly, others proposed the plant source of ω-3, like the daily consumption of 2g-3g of plant sterol, 10g daily flaxseed intake and plant-based fats/oil, nuts, seeds. Another three guidelines men-tioned a general recommendation of PUFAs. In conclusion, incorporating ω-3 in T2DM management is beneficial and a recommendation of weekly serv-ing of at least two/three local fatty fish and daily intake of plant-based ω-3, seeds, legumes and enriched vegetable oil were suggested for Malaysian T2DM patients.
Impact of Technology on Student Learning Outcomes: Examining Digital Tools, Online Platforms, and AI in Modern Education
Authors: - Shalvi Kumari
Published: January 2025

This paper investigates the influence of technology on student learning outcomes, focusing on the role of digital tools, online platforms, and artificial intelligence (AI) in shaping contemporary education. With the rapid advancement of technology, educational institutions are increasingly integrating these tools into their teaching practices. This study reviews existing literature and analyzes empirical research to assess how technology enhances student engagement, motivation, and academic performance while identifying the challenges educators face in implementation. Findings indicate that technology, when effectively integrated, can lead to improved learning outcomes; however, successful adoption requires thoughtful instructional design and adequate support for both students and educators. This paper provides recommendations for leveraging technology to maximize its impact on learning.
Evaluating Radiotherapy Treatment Compliance at Cancer Hospital and Research Institute Gwalior
Authors: - Dr. Neerja Maurya Singh , - Dr. Nancy Lal , - Dr. Gunjan Shrivastava , - Dr. Pankaj Gandotra , - Dr. B.R. Shrivastava , - Dr. Sumit Gupta , - Dr. V. Jalaj , - Dr. Nidisha Agrawal
Published: January 2025

Background: Radiotherapy (RT) is a fundamental component of the management of various cancers and significantly contributes to treatment efficacy and patient survival. However, noncompliance with RT protocols poses a substantial barrier to achieving optimal clinical outcomes.

Objective: This study aimed to evaluate the rate of RT noncompliance among patients with cancer at the Cancer Hospital and Research Institute in Gwalior, Madhya Pradesh, and to identify the clinical, psychological, and socioeconomic factors contributing to noncompliance.

Methods: A retrospective analysis was conducted on 306 noncompliant patients who underwent RT between January 2022 and March 2023. Data on patient demographics, cancer types, RT protocols, causes of non-compliance, and treatment outcomes were collected. Non-compliance was defined as an interruption exceeding five consecutive days during the RT course. Descriptive statistics were used to summarize the data, and IBM SPSS Statistics for Windows, Version 21.0, was employed for data analysis.

Results: The overall non-compliance rate was 22.17%. The majority of the non-compliant patients were male (247 patients, 80.7%) and were diagnosed with head and neck cancers (231 patients, 75.5%). The primary factors associated with noncompliance included emotional challenges or frustration (153 patients, 54.9%), advanced disease stage (168 patients, 55.0%), and treatment-related toxicities (118 patients, 38.6%). Additionally, a significant proportion of patients traveled long distances for treatment, with an average distance of 149.1 kilometers from the hospital. Treatment outcomes revealed that only 68 patients (22%) completed their prescribed RT plans, while 173 patients (56.5%) died, 134 of which (77%) occurred before treatment completion. Seventy-one patients (23.2%) survived, and the outcomes of 62 patients (20.3%) remained unknown due to loss to follow-up or incomplete records.

Conclusion: The high noncompliance rate highlights the intricate interplay of clinical, psychological, and socioeconomic factors affecting RT adherence. Addressing these challenges requires a comprehensive, patient-centered approach that includes early cancer detection, enhanced psychological support, effective management of treatment toxicities, expanded financial assistance programs, and proactive follow-up mechanisms. Implementing these strategies is essential for improving RT compliance, thereby enhancing treatment effectiveness, quality of life, and survival outcomes in cancer patients.
Beyond Greenwashing: Transforming Ethical Branding with AI-Driven Narratives for the Eco-Conscious Generation
Authors: - Shashwat Sharma
Published: January 2025

In an era marked by increasing environmental awareness, ethical branding has emerged as a cornerstone for companies aiming to align with eco-conscious consumers. This paper explores how artificial intelligence (AI) is revolutionizing ethical branding by addressing the challenges of greenwashing and fostering authentic, transparent communication. It highlights the shifting preferences of Gen Z and Millennials, whose demand for sustainability drives brands to adopt innovative strategies. The role of AI in monitoring supply chains, automating sustainability reporting, and tailoring ethical narratives through data-driven insights is examined. Case studies, such as Patagonia’s transparent practices and Everlane’s radical transparency, illustrate how AI enables brands to gain consumer trust by ensuring accountability and verifiability. The paper also delves into ethical dilemmas posed by AI in marketing and branding, emphasizing the need for transparency and data privacy. By leveraging AI to craft authentic, eco-friendly narratives, brands can meet the evolving expectations of the eco-conscious generation while fostering a culture of responsibility and trust.
The role of Telangana State's Integrated Tribal Development Agency Ashram High Schools in advancing tribal education
Authors: - D. Renuka , - D. Sunitha
Published: January 2025

Any sort of research work should have some definite objectives to be achieved at the end of the research work. The objectives must be clearly stated, briefly designed, away from ambiguity and overlapping and should provide direction to the research procedure. Since the present study aimed at inquiring in to all the aspects related to I.T.D.A Tribal Welfare ashram high schools, the following objectives have been formulated to carry out the study in a systematic way.
 To study the role of I.T.D.A Tribal Welfare ashram High schools in Development of Education of Tribals, To evaluate the Physical Facilities and Human resources and functioning of I.T.D.A Tribal Welfare ashram High schools, To explore the opinions of HMs, Teachers, Students and Parents with respect to some independent variables such as gender, type of school To enquire into the learning environment of I.T.D.A Tribal Welfare ashram High schools.
A Comprehensive Review on Understanding Car Air Filters: Structure and Mechanism of Operation
Authors: - Taibullah Modaqeq , - Reza Joia , - Marat Tulepov
Published: January 2025

Modern lifestyles necessitate adaptation to contemporary technologies, as approximately 80% of our time is spent indoors or in vehicles. This raises significant concerns about indoor air quality, including issues like particles, dust, volatile organic compounds (VOCs), harmful gases, unpleasant odors, and biological contaminants such as airborne viruses and bacteria. Car air filters play a crucial role in trapping dirt particles that can negatively impact engine performance and longevity. They also purify the air inside the cabin, significantly enhancing passenger health. In developed countries, around 80% of cars utilize nanotechnology-based filters that effectively eliminate odors and trap fine particles. This study aims to examine the impact of air pressure on engine performance using both clean and dirty air filters. Research indicates that dirty air filters lead to increased fuel consumption and greenhouse gas emissions while diminishing engine performance. Specifically, fuel consumption rises and exhaust gas temperatures increase with dirty filters. In modern cars equipped with electronic pressure transducers, notable pressure differences between clean and dirty filters are observed. For carburetor engines, dirty filters markedly reduce acceleration performance. Consequently, maintaining clean air filters is vital for optimal engine performance, fuel efficiency, and reduced emissions, while nanotechnology filters enhance filtration and improve overall vehicle performance.
Slang, Identity, and Communication: A Synchronic Analysis of Gen Z's Linguistic Practices Through Wattpad Stories
Authors: - Harsey Gwyneth Ladroma , - Judiel Jan Janson , - Hannah Camille C. Camangyan , - Ana Mae M. Monteza
Published: January 2025

Slang is shifting so rapidly that it can be challenging for individuals from other generations or those unfamiliar with digital culture to understand and keep up with learning communication gaps and barriers. Despite these difficulties, Gen Z slang is essential to their identity and communication. The study seeks to identify the unique features of Generation Z language in Wattpad Stories using the three most popular Wattpad stories currently listed on the hot list for the short story category. A heuristic checklist of linguistic and stylistic categories developed by Leech and Short (2007) is used for thorough analysis, enabling a critical evaluation of linguistic descriptions by assessing the lexical, grammatical, figures of speech, context, and cohesion aspects. The findings showed that the authors predominantly utilized Gen Z vocabulary. It possesses compounding, acronyms, conversion, derivation, inflection, and onomatopoeic words. Furthermore, most of the text exhibits a low level of formality and contains only a limited number of idiomatic terms and notable collocations. Finally, most of them consist of simple sentences, utilize figures of speech, such as hyperbole and metaphor, and most of the text in context and cohesion is written from a first-person perspective. This study aids in understanding the communication styles of Gen Z students to see how crucial it is to close the generational divide between students and teachers.
Suicide Rate Prediction Using Machine Learning
Authors: - Kanishka Khatavkar , - Dineshkumar P , - Vaishnavi Phalke , - Vaishnavi Bhosale , - Akshada Ghorpade
Published: January 2025

Suicide is a growing public health concern with accurate prediction and prevention being crucial for saving lives. This project utilized advanced machine learning algorithms to predict suicide rates using a dataset of demographic, economic, mental-health and social factors. Our approach employs a combination of regression models, decision trees, Random Forest, multilayered perception to identify key predictors and patterns in suicide rates. Results show that our machine learning model achieves a high accuracy rate in predicting suicide rates, outperforming traditional statistical methods. Feature importance analysis reveals that economic factors, such as unemployment rates and income levels, are significant predictors of suicide rates. These findings have important implications for policy makers and mental health professionals, enabling targeted interventions and resource allocation to high-risk populations. Our study demonstrates the potential of machine learning in improving suicide prevention of machine learning in improving suicide prevention efforts and highlights the need for further research in this critical area.
Conditions d’ordre politico-sécuritaire dans la mise en œuvre de la Communauté Economique Africaine
Authors: - ETOYI ESELA Fidèle
Published: January 2025

Cette réflexion développe les conditions d’ordre politique et sécuritaire dans la mise en œuvre de la Communauté Economique Africaine. L’on considère qu’autant l’insécurité constitue un frein au processus du libre-échange, l'inefficacité des institutions et à l'incompétence entrainent des pertes économiques énormes. Cet article s’évertue à démontrer comment la gouvernance et la sécurité sont des ingrédients indispensables dans la dynamique de l’intégration économique en Afrique qui rentre dans le processus de la mise en place de la Communauté Economique Africaine.
Athlete Mental Health and Its Influence on Endorsement Deals and Marketability
Authors: - Agastya Yadav
Published: January 2025

The interplay between mental health and the marketability of athletes forms a critical axis in modern sports dynamics. This paper examines the profound influence of mental well-being on athletes' performance, endorsements, and brand value. Factors such as social media scrutiny, pressure to maintain a personal brand, and mental health challenges—ranging from anxiety and depression to burnout—are analyzed alongside their implications for athletic performance and marketability. Through case studies of prominent athletes like Dele Alli, Giannis Antetokounmpo, and Simone Biles, the research highlights both the detrimental and transformative impacts of mental health on career trajectories. The paper also explores strategies for stakeholders, including brands and teams, to address mental health issues proactively, fostering resilience and authentic engagement. By prioritizing mental health, the sports industry can ensure sustainable success for athletes and elevate brand narratives in a socially conscious era.
Gender and Electoral Behavior: A Scoping Review on the Influences of Gender to the Voting Decisions during Election
Authors: - Paniamogan, Sharmaine , - Cerezo, Melody , - Amoncio, Joven , - Simbajon, Princess Francel , - Lumintao, Jornie
Published: January 2025

This article explores the influence of gender on voting decisions during election. This article addresses the gap in current literature by conducting a scoping review of studies from the past five years. For this scoping review, the method is based on the five-stage framework developed by Arksey and O'Malley (2005), with updates from Levac et al. (2010), who added a sixth stage. The six stages include: (1) defining the research questions, (2) finding relevant studies, (3) selecting the studies, (4) organizing the data, (5) summarizing and reporting the results, and (6) consultation. This review explored the topic through the lens of Constructivist Theory, which posits that gender is socially and culturally constructed rather than biologically determined. This framework highlights the dynamic interaction between gender roles, societal norms, and electoral behavior, emphasizing the fluidity of gender in shaping voter perceptions and candidate evaluations. While the review identifies significant insights into how gender influences both political behavior and representation, it also underscores key gaps in the literature. Notably, there is a lack of comparative research on homophobic biases and their impact on the evaluation of non-binary candidates. Existing studies have not fully addressed the structural and cultural barriers LGBTQIA+ leaders face in political contexts. Another gap concerns the underexplored reasons why women and non-binary individuals may be less inclined to pursue political office. Despite the predominant focus on the positive impacts of gender in elections, the negative outcomes—such as the reinforcement of gender-based stereotypes and the marginalization of female and non-binary candidates—remain insufficiently studied. This review calls for future research to address these gaps, particularly regarding the unconscious biases voters may hold and the systemic barriers that affect perceptions of LGBTQIA+ leaders, in order to foster a more comprehensive understanding of gender’s role in electoral decision-making.
Youth's Online Privacy Concerns: An Examination of Social Media Platforms' Data Protection Policies
Authors: - DR. VIKAS JAIN , - DR. SANJAY PAYASI , - DR. VIJAY KUMAR JAIN
Published: January 2025

Social media platforms have become a central part of youth culture in India, offering avenues for communication, social interaction, and self-expression. However, these platforms also pose significant risks related to data privacy and security, leading to growing concerns among young users about how their personal information is collected, stored, and used. This study examines youth’s online privacy concerns in the context of social media platforms’ data protection policies, focusing on the effectiveness of these policies in safeguarding user data. By employing a mixed-method approach that includes content analysis, surveys, and interviews, this research explores the awareness, perceptions, and concerns of Indian youth regarding data privacy on popular social media platforms such as Instagram, Facebook, TikTok, and WhatsApp. A sample of 600 participants aged 13-19 from urban and semi-urban areas across India provided data through structured surveys and interviews. Statistical tools, including regression analysis, ANOVA, and thematic analysis, were used to evaluate the relationship between privacy concerns and perceptions of data protection policies. The findings reveal that youth are increasingly aware of data privacy issues but lack trust in the platforms' ability to protect their information. This study highlights the need for enhanced privacy policies, greater transparency, and educational initiatives to improve digital literacy among Indian youth. Future research should focus on evaluating the effectiveness of specific data protection measures and the role of policy enforcement in mitigating privacy risks.
About Kakatiya Dynasty and Rani Rudramadevi
Authors: - RATCHA JAMUNA
Published: January 2025

The founder of the Kakatiya Empire was Kakartya Gundyana. The founder of the Kakatiya clan was
the first Betaraja. The founder of the independent state of the Kakatiya Empire was Rudradeva. The capital of Kakatiya was initially in Hanumakonda. Later, the capital was shifted to Orugallu.
A Retrospective Study On Attention Deficit Hyperactivity Disorder Cases Treated With Homoeopathic Constitutional Remedies
Authors: - Dhanusree V A , - Abina Augustine , - P R Sisir
Published: January 2025

For evaluating the role of homoeopathic constitutional remedies for the treatment of ADHD cases, a retrospective Evolutionary Study was done with a sample size of 15. After Homoeopathic intervention, all cases improved, in which 2 cases with marked improvement (>80% improvement), 11 with moderate improvement (40- 80% improvement), and 2 with minimal improvement (< 40%improvement).
The Effect of Brand Ambassador, Social Media Marketing, and E-WOM on Purchase Decision: The Role of Brand Image as a Mediating Variable
Authors: - Odilia Audy Claresta , - Budi Suprapto
Published: January 2025

This study aims to determine the influence of brand ambassador, social media marketing, and E-WOM on the purchase decision of Tos Tos snack products, considering brand image as a mediating variable. The research method used in this study is a quantitative method with data collection techniques using google forms. A total of 264 respondents were collected using purposive sampling. The criteria for respondents set are in the millenial or Gen Z generation, knowing that NCT Dream is the brand ambassador for Tos Tos snack, and have purchased Tos Tos snack at least 3 months ago. This study uses SmartPLS statistical analysis tools to process the data. The results showed that brand ambassador and social media marketing have a positive and significant effect on brand image; E-WOM has a positive but insignificant effect on brand image; brand image has a positive but insignificant effect on purchase decision; brand ambassador, social media marketing, and E-WOM have a positive but insignificant effect on purchase decision with brand image as a mediating variable; brand ambassador has a positive but insignificant effect on purchase decision; and social media marketing and E-WOM have a positive and significant effect on purchase decision.
A Perceptual Study of Labour Welfare Measures among the Employees at Atlas Export Enterprises Karur District, Tamilnadu
Authors: - Dr.K.SHENBAHAM. , - P.SARANYA
Published: January 2025

Labour welfare measures can be divided into two categories: statutory and non-statutory. Statutory welfare measures are required by law, and include things like drinking water and crèches for working women. Non-statutory welfare measures are left to the employer's discretion, and can include things like housing, medical assistance, recreation, and transportation. The labour welfare programmes are helps in keeping the morale and motivation of the employees high so as to retain the employees for longer duration. The welfare measures need not be in monetary terms only but in any kind/forms. Employee welfare includes monitoring of working conditions, creation of industrial harmony through infrastructure for health, industrial relations and insurance against disease, accident and unemployment for the workers and their families.
The Survey of Fast-Food Addiction and Weight Status in Adolescents (Age 13 - 19 yrs.)
Authors: - Akansha Naneria
Published: January 2025

The Study is about adolescents understanding fast food addiction and weight status
A Review on Poly-cystic Ovary Syndrome Risk Evaluation System Using Segmentation in Deep Learning
Authors: - Shalu Thakur , - Dr.Ashwini Jha
Published: January 2025

A common endocrine disorder affecting fertile women is PCOS. High testosterone levels, ovarian cysts, oligomenorrhea, and anovulation are its hallmarks. Traditional diagnostic methods, while well established, often lack specificity and provide no personalized information about the disease's progression. Viable alternatives are offered by recent advances in deep learning (DL), which increase diagnostic accuracy by employing large and complex datasets. Using a dataset of 541 patients from Kaggle, the traditional classifiers showed high accuracy, but the deep learning model performed better.
Assessment of Water Management in Gapan City Basis for Policy Legislation
Authors: - Michael Vince Cabrera , - Abraham A. Pascua , - Ali G. Mamaclay
Published: January 2025

Anthropogenic activities had a great possibility of irrigation canal contamination because of the potential number of contaminants that may accumulate. Brgy. San Vicente in Gapan City had determined to have this threat. This study analyzes the NIA-UPRIIS Irrigation Canal via water quality analysis, administers a research questionnaire to identify the most occurring activities, and reviews the City’s existing ordinance to find out if there is any Gap when it comes to water quality management. The mean pH (8.52), Ammonia (1.75 mg/L), Nitrate (9.73 mg/L), and Phosphate (5.90 mg/L) were found to violate the set standard of DAO-2016-08 in Class C Water Bodies given by DENR. Among the three observed anthropogenic activities, Urban Activities were found to be the most occurring event in the Canal. This followed by Household Activities and next by Agricultural Activities. Their total weighted mean was 4.34, 4.12, and 3.76 respectively. In reviewing the city’s ordinance, lack of specificity, implementing issues and citizen responsibility were found. First, this was because of the broad spectrum of the already laid out ordinance, which does not address the day’s observed problem in the canal. Second, even though there is an ordinance related to water quality management implementation and proper monitoring of it were set aside. Lastly, proper awareness of the citizens still needed to avoid irresponsible practices in the canal.
RYR2 and Calcium Signalling: A Review
Authors: - Sonia Shivahare , - B.P.S. Jadon
Published: January 2025

Cardiac muscle function is heavily dependent on signalling pathways, which regulate contraction and relaxation in response to a variety of external stimuli. Ultimately, one of the cardiac muscle’s core dependencies comes from the concentration of calcium within the sarcoplasmic reticulum microenvironment. In this review, we explore the functional significance of RYR2, one of the channels that contribute to the concentration of calcium inside cardiac myocytes as well as the implication of another cellular-level process that contribute to the contraction of the heart.
A Comprehensive Survey to Prediction of Botnet Attacks and Prevent Attacks using Integration Framework of Deep Learning, Blockchain Technology
Authors: - Bhagyalaxmi B S , - Ashwini M S , - Yashodha H R
Published: January 2025

Many devices which are connected digitally (IoT) has become part of our daily use in modern life, revolutionizing areas such as smart homes, healthcare, organizations, agricultural areas and transportation. However, the rapid expansion of connected devices has significantly increased the hazard of malicious bot activities, bullying the safety of IoT networks. To address these challenges, researchers have explored the use of Intelligent Machine learning (ML) and Deep Neural network learning (DL) methods for detecting and mitigating botnets, alongside Blockchain technology for enhancing data integrity and securing decentralized communication. This organized review explores the integration of ML, DL, and Blockchain technologies in IoT botnet detection, focusing on target datasets, performance metrics, and datasets preprocessing strategies. By analyzing primary research published between 2018 and 2023, the analysis highlights the few issues of existing approaches, identifies key advancements, and outlines research areas for developing robust, scalable, and secure frameworks for IoT botnet detection and prevention.
Unfolding Bangladesh and Threat to India
Authors: - Sharma Vishwas Sunilkumar , - Hitesh R. Patel
Published: January 2025

After an undemocratic regime transition, Sheikh Hasina fled to India on August 5, 2024, and the government of Bangladesh changed. The leader of the new government( Mohammad Yunus) , who is rebuilding ties with Pakistan, is vehemently opposed to India rather than pro-India. India's sovereignty and territorial integrity may be in jeopardy as a result of the new Bangladeshi government's possible involvement in the ongoing conflict in Manipur. The new government is nothing less than the rebirth of a united Pakistan, and India is now facing a battle on three fronts, just as it was in 1971.
State-of-the-Art in Medical Image Watermarking: Current Innovations and Future Prospects
Authors: - Bhupendra Kumar Bhardwaj , - Prof. (Dr.) Satya Singh , - Jullius Kumar
Published: January 2025

Watermarking techniques present a valuable approach to securing these sensitive medical images, balancing imperceptibility, robustness, and capacity. It explores recent advancements in watermarking techniques applied to medical images, focusing on their practical applications and efficacy. The integration of advanced technologies such as machine learning, deep learning, biometrics, and blockchain has significantly bolstered the capabilities of protecting medical image data. The review examines various watermarking methods, including spatial and transform domain techniques, compression, encryption, and their combinations. Additionally, it underscores the diverse applications of medical imaging across different domains, recent innovations, and the role of image processing and analysis methods like segmentation, feature extraction, and computer-aided diagnosis. The transformative impact of machine learning and deep learning models in medical imaging is discussed, alongside the critical importance of security and privacy measures, encompassing encryption and blockchain solutions. This review aims to provide insights into the effectiveness of these techniques and their future potential in advancing medical imaging practices.
A Novel Study on Virtual Machine Placement Techniques for Cloud Data Centers
Authors: - Parameshwar , - Shilpa B. Kodli
Published: January 2025

Efficient Virtual Machine (VM) placement is a critical challenge in cloud computing environments, influencing resource utilization, energy efficiency, cost, and Quality of Service (QoS). Over the years, numerous approaches have been proposed to optimize VM placement, ranging from heuristic and meta heuristic algorithms to machine learning. In this paper we provide a comprehensive review on various VM placement techniques which mainly focussed on factors such as energy consumption, VM migration, resource utilization and SLA violations.
Why are your favourite Indian Startups failing?
Authors: - Aryan Kapoor
Published: January 2025

This research paper analyzes the potential reasons that lead to the failure of many well-established startups in India. By carefully analyzing the life cycle, growth potential, and critical challenges faced by Indian startups; it is right to say that they hold a very important role in determining a country’s economic success and development. Startups are considered to be private entities that are focused on developing innovative products or services to tackle a particular issue in society, along with the goal of profit creation. Startups in India have shown remarkable growth, contributing significantly to job creation and economic progress.
The research carefully articulates case studies of two well-established Indian startups namely BYJU’S and Stayzilla, and attempts to find the potential common reasons that lead to collapse of many successful startups in the nation. Despite recording immense growth in the past few years, startups in India have started to show signs of financial decline and mismanagement. It is thus very essential to identify the potential reasons for their failure and develop necessary policies and plans to ensure the longevity of what can be the backbone of the Indian economy in the future. The research identifies various reasons such as financial mismanagement, internal conflicts, external factors, leadership issues, and deteriorating public image that contribute to the fizzling out of many established startups. The research also proposed various ideations to ensure the longevity of startups in the nation.
Self-Healing Mechanism of a Concrete Using Chemical Agent
Authors: - Aaqib Javaid , - Ajay Vikram
Published: January 2025

The formation of fissures in cement-based materials and concrete, resulting from both self-induced processes and external forces, presents a major obstacle to the sustained durability and structural integrity of buildings. To address this issue, scientists have created a groundbreaking technique with built-in abilities for self-sufficient crack repair, referred to as self-healing concrete, which
holds great potential for improving the lifespan of structures and minimizing environmental harm. This approach provides both a self-regenerating repair mechanism and the possibility for independent restoration, substantially lowering maintenance requirements and simultaneously increasing the lifespan of concrete constructions. This article thoroughly examines the operational principles, manufacturing methods, and self-healing properties particularly in terms of crack restoration and mechanical function—of concrete integrated with chemical-based self-repairing agents. These substances include various
materials such as sodium silicate, calcium nitrate, dicyclopentadiene, calcium hydroxide, calcium sulfoaluminate, silica, and superabsorbent polymers. This review considers both self-induced and independent self-healing methods, with literature indicating that cracks can be effectively repaired and mechanical properties can be substantially recovered. The effectiveness of healing and
the restoration of mechanical properties can vary considerably depending on the type and concentration of the healing agents. Numerous studies have reported over full restoration of mechanical strength and complete healing of crack depths. Superabsorbent polymers serve as highly efficient self-repair agents, especially when used in conjunction with self-healing agents such as calcium
nitrate or CSA. Chemical-based self-repair agents offer an effective method for improving concrete durability, ensuring structural safety, and facilitating their real-world use.
The Evolving Role of Artificial Intelligence in Recruitment: Efficiency, Bias Mitigation, and Ethical Challenges
Authors: - Anees Faroozan
Published: January 2025

Artificial Intelligence (AI) is redefining Human Resource Management (HRM) by revolutionizing traditional recruitment methods and optimizing hiring processes. Conventional recruitment, often prolonged and labor-intensive, has been transformed by AI’s ability to efficiently analyse large volumes of applications, identify top candidates, and provide succinct summaries of qualifications. This technological advancement allows recruiters to shift their focus toward enhancing the candidate experience and attracting exceptional talent. Additionally, AI holds the potential to reduce unconscious bias in hiring by relying on objective data and standardized criteria during initial screening. However, these benefits are accompanied by challenges, including ethical concerns, algorithmic biases, and risks associated with over-reliance on automation. This paper explores the dual role of AI in driving efficiency and fostering equitable hiring practices while addressing its limitations and ethical implications within the recruitment process.
On Neutrosophic Supra Regular b - Closed sets in Neutrosophic Supra Topological spaces
Authors: - C.R.PARVATHY , - S.DEEPA
Published: January 2025

Samarandache establish and begin the new opinion of Neutrosophic set from the Intuitionist fuzzy sets. The goal of this paper is to intiate the value between neutrosophic and supra topological spaces called Neutrosophic supra regular b- closed sets and Neutrosophic supra regular b- open sets and in Neutrosophic supra topological spaces. The corresponding Neutrosophic supra topological space formed by the family of these sets is also studied. some theorems and examples of Neutrosophic Supra regular b - closed sets and Neutrosophic supra regular b- open sets are introduced . Characterizations and its properties are discussed in Neutrosophic supra topology.
Myth, Culture, and Human Experience: An Analysis of Martin Owusu’s 'The Legend of Aku Sika'
Authors: - Latipher Amma Osei , - Godfred Asare Yeboah , - Johnson Edu
Published: January 2025

This critical analysis delves into Martin Owusu's 'The Legend of Aku Sika', exploring the intersections of myth, culture, and human experience through the lens of Mythopoeic Archetypal Theory. By examining the narrative's characterizations, plot dynamics, and thematic resonances, this study reveals how the legend taps into universal human experiences and emotions, evoking archetypal resonance and symbolic patterns that convey complex ideas and emotions. Situated within its cultural and historical contexts, this research uncovers how the story reflects, refracts, and reimagines the human condition, inviting readers to confront and contemplate the depths of their humanity. Through this analysis, the Mythopoeic Archetypal Theory illuminates the legend's psychological profundity, uncovering insights into identity, morality, and the human experience that transcend cultural boundaries.
వరకట్న దురాచార నిరసనాస్త్రం - రాయప్రోలు వారి ‘స్నేహలతాదేవి లేఖ’
Authors: - పట్టపు శివకుమార్
Published: January 2025

రాయప్రోలు సుబ్బారావు గారు ‘స్నేహలతాదేవి’ అనే ఖండకావ్యం రచించారు. బెంగాలు ప్రాంతంలో స్నేహలత అనే యువతి వరకట్న దురాచారానికి నిరసనగా ఆత్మార్పణ చేసుకున్న సంఘటన ఇందులోని ప్రధాన ఇతివృత్తం. స్నేహలతాదేవి కథ ఆనాటి బెంగాలు ప్రాంతంలో జరిగిన ఒక యధార్థమైన విషాదగాథ. వరకట్న దురాచారానికి బలైపోయిన స్నేహలత అనే యువతి తన తండ్రికి రాసిన లేఖలోని విషాద వృత్తాంతం గురించి పరామర్శించటం ఈ వ్యాసం లోని ప్రధాన విషయం.
Readiness for Innovation in the New Normal: A Technological Model for the Hotel and Resorts Industry
Authors: - John Patrick Romero
Published: January 2025

This study looks at how ready hotels and resorts in the Western Visayas region of the Philippines are to use new technology after the COVID-19 pandemic. We studied three different types of hotels (budget, mid-range, and luxury) and compared their technology use to what successful cruise lines are doing. Our study had two parts: first, checking what technology they already have and how well they use it; second, suggesting new technologies that could help them. The results will help hotel managers improve their technology, offer better service, and compete better in the changing hotel market. This research helps us understand how hotels can change to use technology better and make their businesses more successful.
An Exploration of Health and Safety Practices in the Uganda Police Force
Authors: - Kasim Ziryawulawo Matovu , - Matovu Musa
Published: January 2025

This study evaluates the occupational health and safety (OHS) strategies implemented by the Uganda Police Force (UPF) and assesses their effectiveness in mitigating workplace risks. OHS is crucial in law enforcement, where officers face high-risk situations, especially during contemporary political emergencies (CPEs). Despite UPF’s efforts to implement safety measures under the Occupational Safety and Health Act (2006), significant hazards remain.
Using global OHS frameworks such as the Health Belief Model and Swiss Cheese Theory, this research explores why accidents occur and how UPF’s policies address these risks. The study conducted a retrospective observational analysis involving 384 officers, using questionnaires and interviews to gather data. The findings were analyzed through descriptive statistics and regression modeling.
The results show that UPF’s OHS strategies have had a moderate impact, with administrative measures like training and policy enforcement showing the greatest effectiveness in reducing risks. However, physical and environmental strategies, such as risk assessments and machine safety, have been less successful. Areas like the provision of personal protective equipment (PPE) and general housekeeping require improvement.
In conclusion, the research emphasizes the need for an integrated approach to OHS within UPF, combining administrative, physical, and environmental strategies. Continuous monitoring, evaluation, and enhancement of existing policies are crucial to ensuring the health and safety of Uganda’s law enforcement personnel.
Skin Salvation: Power of Probiotics in Dermatology
Authors: - Arisha Salam , - Abhinesh Nagarajan , - Kuldeep Verma
Published: January 2025

Probiotics, defined as live microorganisms that confer health benefits when administered in adequate amounts, have emerged as a promising adjunct in dermatological care. This review explores the expanding role of probiotics in managing skin conditions such as acne, atopic dermatitis, psoriasis, and rosacea. By modulating the gut-skin axis, probiotics influence systemic inflammation and immune responses, thereby enhancing skin barrier function and reducing pathogenic bacterial colonization. Recent studies also highlight their potential in anti-aging and wound healing therapies. This article critically evaluates current evidence, underlying mechanisms, and clinical applications, while addressing challenges in formulation, dosing, and regulatory oversight. The integration of probiotics into dermatology heralds a new frontier, offering therapeutic options that align with the growing preference for natural and sustainable approaches in skin health. Future research directions are proposed to optimize their efficacy and ensure widespread adoption in clinical practice.