bluuebunny/crossref_metadata_2025 huggingface dataset:
Wheat Disease Detection Using Deep Convolutional Neural Networks: A Machine Learning Approach to Resolve the Agricultural Intrusion
Authors: Madeva Devadiga Gayatri , Raj Arjun , M Harshitha , Takur V Suraj , Rudra Rohan , D Souza Melwin
Published: February 2025

A system for detecting wheat leaf diseases, specifically Septoria and stripe rust, has been developed using a Convolutional Neural Network (CNN) implemented with TensorFlow. The model was trained on a dataset of 407 images of wheat leaves and achieved 97% accuracy in differentiating between healthy leaves and those with diseases. The system is deployed as a user-friendly web application, allowing farmers to upload images of potentially infected leaves and receive instant disease predictions. The application also provides information on disease symptoms, lifecycles, and management strategies from trusted sources. This technology has the potential to revolutionize wheat disease management, enhance farm productivity, and strengthen food security in India and other wheat-producing regions. Farmers can make informed decisions, implement targeted interventions, and minimize yield losses by providing timely and accurate disease detection. The system aims to facilitate early detection and precise classification of diseases, ultimately helping farmers minimize resource wastage and prevent economic losses. The project underscores the potential of deep learning techniques for real-time disease detection and management in wheat crops. The web application is designed to be accessible to farmers in remote areas, addressing the limitations of traditional disease diagnosis methods. The system's accuracy and efficiency can help reduce the economic impact of wheat diseases, which can cause significant yield losses and impact livelihoods. Overall, the project demonstrates the potential of AI-powered solutions for improving agricultural practices and enhancing food security
Effectiveness of Breastfeeding Techniques to Improve Latching and Prevention of Nipple Soreness among Primipara Mothers. A Randomized Control Trial
Authors: Taj Shazia , Kausar Prof. Dr. Samina , Naz Farah , Manzoor Nadia , Zareef Sana
Published: February 2025

Background
Breastfeeding is crucial for reducing child mortality but challenges like nipple soreness and improper latching techniques can lead to early cessation. Breastfeeding status assessment rely on subjective, Not assessd objectively.
Methodology
A study of 100 postpartum primipara mothers used an experimental design with non-probability convenient sampling. Participants were divided into two groups:SVD and Pfannenstiel incision, each split into intervention and control subgroups by randomization. The intervention group received breastfeeding supportive techniques, while the control group received routine care.
Data was gathered by socio-demographic form, the LATCH scoring system, and a nipple soreness scale by using SPSS version 3023. Data Analysis was conducted by using descriptive statistics, t-tests and ANOVA to evaluate the effectiveness of techniques.
Results
The study results revealed significant reductions in nipple soreness among intervention group mothers as Latch observations of intervention group was (8.84 ± 1.22). Nipple soreness score of intervention group was (0.44 ± 0.85) & control (2.12 ± 1.20) accordingly.
Conclusion
Proper positioning and latch are crucial for minimizing nipple soreness and newborns can efficiently draw milk from the breast. Therefore, it is crucial for nurses to objectively assess breastfeeding by implementing a LATCH charting system.
The Effect of Augmented Reality Learning Media on Increasing Knowledge and Skills in Midwifery Students
Authors: Apryanti Apryanti , Ahmad Mardiana , Syafruddin Syafruddin , Handayani Idrus Hasta
Published: February 2025

Objective: Increase the Knowledge and Skills of Midwifery Students using Augmented Reality learning media.
Method: The literature review approach is based on national and international scientific journals related to the effect of augmented reality learning media on increasing knowledge and skills in midwifery students, the literature used is published between 2019-2024 in several databases such as; Pub-Med, Science-Direct, Sci-lit, Google Scholar, and Semantic Scholar. This literature review was compiled through searching scientific articles with the keywords "augmented reality learning media, knowledge and skills, midwifery students". Based on the search results, 250 related articles were found, then filtered based on the year of publication, namely the 2019-2024 period, 104 related articles were obtained. The next process is selection related to abstract, full text, open access type of research, and duplication and obtained 34 articles. In these 34 articles, researchers read carefully and thoroughly so that 30 eligible and relevant articles were obtained.
Results: Some of the benefits of Augmented Reality (AR) as learning media in this LR are; increasing knowledge and skills, making learning more interesting and interactive, and encouraging students to actively participate in the learning process.
Conclusion: The use of Augmented Reality (AR) learning media on knowledge and skills can improve student understanding, retention, and skills as well as more interactive learning and a better learning experience.
Advanced Hybrid Feature Extraction and DeepLab v3+ Semantic Segmentation for Enhanced Breast Cancer Detection with Cuckoo Search-Optimized Neural Network Classifier
Authors: Dubey Vishakha , Rathore Shanti , Gedam Rahul
Published: February 2025

This paper introduces a hybrid methodology for enhancing breast cancer detection using thermographic images. The approach combines DeepLab v3+ semantic segmentation with advanced feature extraction techniques, improving classification accuracy. DeepLab v3+ isolates regions of interest (ROIs) from thermograms, focusing on areas likely indicating cancerous lesions. Feature extraction methods like morphological statistical features, Discrete Wavelet Transform (DWT), Local Binary Patterns (LBP), and Enhanced Marine Predator Optimization (EMPO)-Optimized Dual-Tree Complex Wavelet Transform (DTCWT) capture diverse thermal patterns indicative of breast cancer. Principal Component Analysis (PCA) is used for dimensionality reduction, enhancing computational efficiency while preserving important information. The extracted features are classified using a Cuckoo Search-Optimized Neural Network (CSA-NN), which optimizes neural network parameters and addresses class imbalance and feature redundancy. Experimental results demonstrate that this hybrid methodology outperforms traditional techniques, achieving high accuracy, sensitivity, specificity, and precision across breast cancer thermography datasets. The proposed method highlights the potential of combining advanced image processing and machine learning for reliable breast cancer detection.
Synergistic Effects of Physiotherapy and Nutrition in Managing Paediatric Cerebral Palsy
Authors: Shukla Neha , Katiyar Alka , Shekhar Kumar Chandra , Dixit Anamika , Zaidi Aamena
Published: February 2025

Cerebral palsy (CP) is a neurodevelopmental disorder with marked heterogeneity that broadly affects motor function and quality of life in the paediatric population. This narrative review purposes the role of synergism between nutritional interventions and physiotherapy in paediatric CP. Using a review of contemporary relevant literature and clinical evidence, we discuss the possible advantageous role of structuring individualised nutritional inputs in conjunction with specifically structured physiotherapy programs, to enhance outcomes including gross motor function, strength and overall functional capacity. There is a need for integrated approaches for CP management and the review demonstrates how attention to nutritional status can enhance the benefit of physiotherapy treatment and how physiotherapy can enhance nutritional status through improved feeding ability and general metabolic function. We present data to support the notion that these interventions are synergistic and offer clinical recommendations for implementation. A more successful integrating approach to the underlying causes of CP in children will enable health professionals to develop more effective treatment strategies.
Legal Implications of Surgical Malpractice: An Analytical Approach
Authors: Kulkarni Ram , Khare Abhilasha , Cherian Iype , Chougule Umesh , Lal Soni Shankar , Kiran Wani Lalita
Published: February 2025

A major issue in the medical industry, surgical fraud might cause lawsuits against organisations and personnel. The kind of analysis used in this work clarifies the legal consequences of medical misconduct. It examines the primary causes of surgical errors, including procedural errors, poor communication, and insufficient patient monitoring, including This paper examines case studies and past rulings to demonstrate how courts determine who is liable in surgical malpractice claims and the difficulties proving negligence or breach of duty. The research also examines how libel insurance supports the protection of those in the healthcare sector. The article also discusses how informed consent, patient rights, and how the legislation is evolving as recording is progressively becoming more and more crucial in reducing the possibility of litigation. The findings make it very evident that we need tougher legislation to handle medical fraud, more training, and better means of communication. According to the findings, healthcare professionals must be well-versed in both the medical and legal domains if they are to keep patients safe, lower risks, and guard themselves from any legal issues.
Informed Consent in Surgery: Legal and Ethical Considerations
Authors: Chougule Umesh , Sharma Kavita , S. Kolekar Shreesh , V. Nerlekar Hemchandra , Gupta Shailly
Published: February 2025

In surgery, patients must give free permission to medical procedures after being fully told of the risks, rewards, and other options. This is called "informed consent," and it is both an ethical and legal requirement. Patients' right to make their own decisions and be independent is protected by this idea. This means that medicines can't be given to them without their clear permission. Surgeons are required by law to give people enough information about the surgery they are suggesting so that they can make an informed decision about their care. Ignoring educated consent could lead to legal action, such as malpractice cases. In terms of ethics, the method goes beyond simple openness because it includes respecting the patient's right to make their own decisions and building trust between patients and healthcare workers. Surgeons have to give patients correct and understandable information while considering how well they can handle complicated medical information, which can change depending on their age, culture, and mental health. Making sure that patients are not pushed or misled and fixing language problems or gaps in health knowledge are problems that can come up with informed consent. Ethical problems can also happen when patients don't give permission, like in an emergency or when the patient isn't able to speak for themselves. This makes proxy decision-making problematic. As medical processes change with new technology, it is still necessary to have updated rules and ways of making sure that patients give their informed consent. This is to protect patients' rights and keep surgery ethical. This paper talks about how medical procedures and technology are changing by looking into the tricky area where legal requirements and moral issues meet when getting informed consent.
Medical Litigation in Surgery: Navigating Legal Challenges
Authors: Bagwan M.B. , Singh Sarita , V. Kanase Vijay , R. Nangare Nitin , Sharma Vandana
Published: February 2025

More and more medical fraud cases are being made in surgery, which is making things harder for the healthcare industry. Lawyers' claims against bad medical practices and operators put doctors' jobs and personal lives at risk. This piece looks at the legal environment of medical actions with a focus on where surgery cases come from, how they affect people, and ways to stop them. We look at how legal conflicts start over things like medical mistakes, duty breach, informed consent, and medical errors. People are also talking about how important it is to keep notes, talk to patients, and find ways to lower risks when the number of cases goes down. Aside from the growing need for insurance and legal help to protect doctors, the effects of medical malpractice cases on healthcare workers, such as mental pain and money problems, are also being thought about. The study also talks about how new laws, better medical technology, and different court decisions might affect the next steps in surgical medical lawsuits. The specific questions in the study are meant to help doctors deal with tough legal situations and lower their risk of being sued for wrongdoing while still upholding high standards of patient safety and care.
Surgical Practice and the Law: A Comprehensive Overview
Authors: V. Kanase Vijay , Rahangdale Prashant , R. Nangare Nitin , Bagwan M.B. , Kr Sharma Ashok
Published: February 2025

Because they do dangerous treatments that are hard to do, surgeons are very connected to both medical science and the law. The law side of surgery covers a lot of ground, from getting permission from the patient to professional standards to malpractice to moral questions. All of this help to spell out what patients and experts can and can't do legally. This study carefully looks into how law and surgery affect each other. The basic ideas of informed consent are looked at, along with the role of medical carelessness and how patient safety standards are becoming more and more important in surgery settings. Patients need to give informed permission to make sure they understand the risks, benefits, and possible alternatives to surgery before it happens. This helps kids pick out good things. Medical malpractice is still a big problem, but the chance of being sued and being accused of laziness helps stop bad practices and make good ones even better. As people learn more about their rights as patients and the law's role in handling medical mistakes changes, surgery's control has changed in big ways. This piece also talks about the growth of medical jurisprudence, a field that brings together doctors and lawyers to deal with cases of ignorance, misconduct, and patient harm. Finally, it shows how important it is for doctors to keep learning throughout their lives so they can stay up to date on the latest medical techniques and the law problems that can arise from their work. The point of this study is to show how important it is to look at law and medicine together in order to learn more.
Surgical Confidentiality and Data Protection: A Legal Analysis
Authors: Kulkarni Shantanu , Bawane Pranjali , S.S Rahul , Bagwan M.B. , Gupta Shailly
Published: February 2025

Surgical secrecy and data protection are important parts of the medical field because they protect patients' privacy and allow for quick and effective care. As technology improves, medical data is being processed and sent over more and more platforms. This makes people worry about the safety of private data. The purpose of this paper is to look at the legal aspects of the current systems that protect surgical privacy and data. It focusses on how laws like HIPAA (Health Insurance Portability and Accountability Act), GDPR (General Data Protection Regulation), and other jurisdiction-specific rules are changing how they work. It looks at how to best balance the need for medical workers to share information with patients' rights to privacy so that care can be given effectively. The study also talks about the moral problems doctors face and the legal effects of losing faith during surgery. Telemedicine and electronic health records (EHR), two new developments in healthcare technology that affect patient data protection, are also included. We go into a lot of detail about important problems like informed permission, access limits, and data protection. The last part of the study suggests that laws should be changed to make data more secure. This will increase customer trust and make sure that healthcare systems around the world are following the rules. By looking at how law, healthcare, and technology interact, this study is able to fully explain the difficulties and answers that come with keeping surgery privacy in the modern world.
Assessing Criminal Responsibility in Surgical Malpractice Cases
Authors: Mahajan Nikhilchandra , Dimri Jahanvi , Kulkarni Ram , S.S Rahul , Garg Ram
Published: February 2025

Surgical malpractice cases are hard to solve because they involve science, ethics, and the law. Someone is hard to find because of this. Criminal courts deal with acts that were done on purpose or with gross negligence. Civil courts deal with damage compensation. Who is legally responsible for medical mistakes is a tough question that this paper looks at. These include the laws, the rules for proof, and what most people agree on. This study has a direct effect on how doctors are treated in court because it depends on the difference between a mistake made by a person and criminal carelessness. The study looks into many different foreign legal rules, such as how the US defines "reckless disregard," how the UK defines "gross negligence manslaughter," and how Section 304A of the Indian Penal Code defines criminal responsibility in India. One of the biggest problems is that expert proof can change how a case is understood, surgery outcomes are often hard to predict, and illegal penalties can change the way doctors do their jobs in general. Ethical issues are also talked about, such as the problem of whether medical mistakes should be illegal or who should be responsible. The study's main suggestion is for stricter laws, more oversight, and better medical training to help cut down on mistakes and support fair court decisions. The way that law systems handle these issues could lead to justice and protect the dignity of medical practice.
The Role of Law in Regulating Experimental Surgical Techniques
Authors: Chougule Umesh , Singh Dari Sukhvinder , Nagvekar Mayur , S. Patil Ravindra , Lal Soni Shankar
Published: February 2025

The use of experimental surgery methods has a big impact on both the progress of medical treatments and the chances of people getting better results. Using new medical technology that hasn't been tried on people brings up a lot of issues related to patient safety, ethics, and the law. Laws need to be in charge of experimental surgery so that these new methods can be used in a way that is moral, safe, and cost-effective. This paper looks into how new surgery methods are handled with an eye towards the rules, morals, and legal problems that come up. The study looks into how medical rules, such as those made by the FDA and EMA, affect how new surgery tools and methods are accepted. The paper also talks about how doctors have a social duty to make sure patients give their full consent and protect their freedom, especially when it comes to novel treatments. It talks about the legal issues that have come up because of mistakes doctors made and injuries patients got during recent surgeries. It also talks about how important events in the past have changed the laws that judges have to follow. Case law, social problems, and current legal systems can all help us understand how important it is for the law to protect patient rights while also allowing medical progress. The last point makes the case for legal rules that are easy to change in order to support moral medical progress while protecting public health and maintaining faith in the healthcare system. This can help with ethical development.
Surgical Innovation and Patent Law: Conflicts and Resolutions
Authors: S. Kolekar Shreesh , Tripathi Sachin , Mahajan Nikhilchandra , Chougule Umesh , Kr Sharma Ashok
Published: February 2025

Thanks to surgical innovation, healthcare has been totally transformed and more advanced therapies and patient outcomes are now feasible. New surgical methods and patent laws clash to cause major issues influencing moral standards as well as the availability of medical treatment. This article examines the complex relationships among patenting surgical techniques, instruments, and technology as well as the more general consequences for patients and the medical community. Patents provide creators exclusive ownership over their creations, therefore guaranteeing a return on investment and hence promoting fresh ideas. Application of copyright law to medical practices raises ethical questions. Limiting the use of patented techniques will help to block the dissemination of life-saving therapies, increase the disparity in healthcare, and cause great financial losses to hospitals and physicians. Legal execution of patent enforcement in hospital environments may be challenging and could compromise patient care. By means of case studies and legal research, this study demonstrates how difficultly the present system of patent law in medicine may be applied. It also examines potential responses like fair licensing agreements, legislative reforms, and cooperative approaches to fresh ideas. Policymakers, healthcare professionals, legislators, and innovators have to negotiate these challenges in order to strike a balance between fostering innovation and guaranteeing everyone has equitable access to healthcare. This paper emphasises the need of fast aligning property law with the moral standards of the medical industry. By developing practical ideas, this research aims to contribute to the fair and long-lasting nature of medical invention. This will benefit everyone else in the globe as well as the creators.
Antimicrobial Efficacy of Iron Oxide Nanoparticles Incorporated in Commercial Toothpaste Against Streptococcus mutans, Enterococcus faecalis, Candida albicans, and Lactobacillus
Authors: U Danisca , R Sundar , R Ramesh
Published: February 2025

Background: Maintaining oral hygiene is Crucial for preventing dental diseases associated with microbial biofilms. Traditional toothpaste formulations have limitations in effectively combating biofilm-associated pathogens such as Streptococcus mutans, Enterococcus faecalis, Candida albicans, and Lactobacillus. Iron oxide nanoparticles have shown promise in enhancing antimicrobial efficacy due to their ability to generate reactive oxygen species (ROS) and disrupt microbial cell walls.
Aim: To evaluate the antimicrobial efficacy of iron oxide-enriched toothpaste against key oral pathogens to determine its potential in improving oral health and biofilm inhibition.
Materials and Methods: Iron oxide nanoparticles were synthesized and incorporated into a commercial toothpaste at varying concentrations (25 µg/mL, 50 µg/mL, and 100 µg/mL). The antimicrobial activity was avaluated using agar well diffusion, time-kill curve, and biofilm inhibition assays. The study analyzed microbial inhibition against S. mutans, E. faecalis, C. albicans, and Lactobacillus using statistical methods, including one-way ANOVA, Tukey HSD post hoc tests, independent t-tests, effect size calculations (Cohen’s d, Hedges' correction, and Glass’s delta), and multivariate analysis (Pillai’s Trace, Wilks’ Lambda, Hotelling’s Trace, and Roy’s Largest Root).
Results: Iron oxide nanoparticle-enriched toothpaste demonstrated significant antimicrobial activity, with a dose-dependent reduction in microbial growth. The highest inhibition was observed for S. mutans, followed by E. faecalis, C. albicans, and Lactobacillus. The 100 µg/mL Fe₂O₃ NP formulation showed the most pronounced inhibition, significantly outperforming commercial toothpaste.
Conclusion: The findings indicate that Iron oxide nanoparticle-enriched toothpaste effectively inhibits biofilm formation and microbial growth, particularly against S. mutans. This suggests its potential as an advanced oral hygiene product to combat dental caries and biofilm-associated infections. Further research is needed to assess its long-term safety and efficacy in clinical settings.
Faster and Stronger: The Role of Anaerobic Exercises in Swimming Performances
Authors: Rangaraj K. , Sakthivel S.
Published: February 2025

The purpose of the research was to investigate how anaerobic exercise affected particular physiological and physical characteristics. A total of 40 male swimmers from Chennai district, aged between 17 and 21 years, were randomly selected as participants. The study took into account a number of characteristics, including resting heart rate, endurance of muscles, cardio-respiratory endurance, aerobic workouts (an uncontrolled variable), and vital capability. The research employed a pre-test and post-test randomized group design. Participants were randomly divided into two equal groups: Group I, consisting of 20 participants, underwent anaerobic training five days a week for eight weeks, while Group II, also comprising 20 participants, served as the control group and did not engage in anaerobic training. Post-tests were administered following eight weeks of training, while pre-tests were administered before to the training session in order to gather data. For the chosen physiological variables, the pre-test and post-test means of the control and experimenter groups were compared using descriptive analysis and Analysis of Covariance (ANCOVA). The analysis's significance threshold was set at 0.05. The experimental group's resting heart rate, vital capacity, muscular endurance, and cardio-respiratory endurance were significantly improved after the training, according to the results. Conversely, no significant differences were observed in the control group for these variables. Based on these results, it was concluded that anaerobic training significantly enhances selected physical and physiological parameters
Retroperitoneal Giant Immature Teratoma Diagnosed at Birth and treated post-neonatally: A Case Report
Authors: Takezoe Toshiko , Sumiya Wakako , Mitani Yuichi , Ichimura Kayoko , Tsuzaka Shoichi , Tsutsuno Takashi , Ogawa Shoko , Kondo Yasuhiro , Deie Kyoichi , Kawashima Hiroshi
Published: February 2025

Background: Immature retroperitoneal teratomas (RTs) are rare tumors predominantly diagnosed within the first year of life, with the majority being benign. Complete surgical resection is the primary treatment; however, surgical challenges due to anatomical complexities and perioperative complications often arise, particularly in neonates. This study presents a case of a congenital immature RT identified at birth, where the timing of surgical intervention was critically evaluated through a review of relevant literature.
Case presentation: The patient, a male neonate born at 36 weeks, exhibited abdominal distention and was transferred for further evaluation. Imaging revealed a large retroperitoneal mass, leading to a diagnosis of immature teratoma. An initial biopsy confirmed the absence of malignancy, and surgical resection was delayed to allow for further development of the infant. The tumor, weighing 930 g, was successfully removed while preserving the right kidney, though postoperative urinary peritonitis occurred. The patient recovered and he was discharged with no recurrence after seven months.
Conclusion: This case highlights the importance of carefully timing surgery in neonatal patients with complex conditions to minimize surgical risks.
Decision making in major upper extremity replantation based on evidences and experiences
Authors: Kumar Jena Subrat , Kanakeya Reddy Bachha , Gupta Ruchi
Published: February 2025

Replantation of major upper extremities is a complex surgical procedure requiring meticulous decision-making and advanced skills. This retrospective study, conducted at a dedicated trauma center, reviewed 95 upper extremity replantation’s performed between January 2019 and March 2024. The study analyzed patient demographics, injury characteristics, surgical procedures, and outcomes to identify key factors influencing replantation success. Results showed a high success rate (95%) with significant functional recovery in most cases, despite some limitations in hand function. Factors such as age, level of amputation, ischemia time, and ancillary procedures were critical in determining outcomes. The study underscores the importance of comprehensive surgical and postoperative care, highlighting the superiority of limb salvage over prosthetic use. These findings provide valuable insights for optimizing decision-making and improving patient outcomes in major upper extremity replantation.
A Systematic Assessment of The Impact of Kangaroo Mother Care on Preterm Infants' Physiological Characteristics
Authors: S Selvi
Published: February 2025

Introduction: The systematic review highlights that Kangaroo Mother Care positively that impacts physiological parameters in preterm neonates. It shows that Kangaroo Mother Care improves vital signs, with one-hour or shorter session’s significantly enhancing temperature and oxygen saturation.
Aim: The systematic review aims to evaluate, effectiveness of KMC on preterm neonates and its physiological parameters.
Method: Digital resources including PubMed, Embase, the Cochrane Library, Scopus, and CINAHL were thoroughly searched. Searching for relevant MeSH source terms and KMC infant keywords, including preterm and low birth weight infants. Only English-language research published between 2013 and 2023 is included in the search. For more sources, the reference lists of pertinent papers and systematic reviews are examined.
Results: Initially, 120 studies that met the searching strategies in the said databases. Meta-analysis was used in the study and data used were based on the criteria meant the present research. The synthesized findings on respiratory rate, heart rate variability, and temperature regulation among preterm neonates receiving KMC are compared to conventional care or differing initiation timings. The results show that, especially with one-hour or shorter sessions, it has a considerable good impact on newborns' vital signs, including temperature and oxygen saturation. The findings emphasize the importance of KMC as a simple yet effective intervention in neonatal care. Future research should explore optimal durations and frequencies to maximize its benefits.
Effect of High Intensity Interval Training on Selected Physical Fitness and Performance Variables Among College Men Sprinters
Authors: E. Chellappa , Louis Raj Y.C.
Published: February 2025

This study sought to determine how high-intensity interval training affected specific physical fitness and performance metrics in male collegiate sprinters. To execute the present study the research investigator, select 15 college men sprinters from KMG College of Arts and science and Govt Thirumagal mills College of Arts and science Gudiyattam Vellore Dist. The training group namely interval training group underwent their training program for 8 weeks. Alternative days the work out lasted for 45 to 60 minutes including warm-up and warm-down exercises. The subjects underwent their training program apart from their regular routine. The selected Physical fitness variables namely speed and Agility, and performance variables namely 100m and 200m are dependent variables. Independent variable was High Intensity Interval Training. To determine the significant difference between pre and post test the statistical procedure namely paired “t” test was applied. To test the level of significance the 0.05 level was fixed. The results of the information analysis showed that the use of High Intensity Interval Training greatly enhanced the chosen dependent variable, namely Speed Agility 100m and 200m.
Analyzing The Effect of High Intensity Interval Training Among University Level Men Football Players
Authors: R Ganesh , Mohanakrishnan R. , V Natesamurthy , Pranav Prakash Prabhu , Sundararaj D Syman
Published: February 2025

Physical fitness is of paramount importance for football players due to the demanding nature of the sport. Football matches can be intense and last for 90 minutes or more. Players need high levels of aerobic endurance to maintain performance throughout the game. Football requires players to engage in physical contests such as tackling, shielding the ball, and competing in aerial duels. High Intensity Interval Training can be particularly beneficial for football players due to its focus on functional movements, strength, endurance, and agility. The study investigates the impact of High-Intensity Interval Training (HIIT) on specific physical and physiological attributes of university-level male football players. For this purpose, 30 male football players, aged 18 to 22 years, were randomly selected from SRM Institute of Science and Technology in Tamil Nadu, India. The participants were separated into two random groups: Group I, comprising 15 players, endured High-Intensity Interval Training, while Group II, also consisting of 15 players, served as the control group. Group I engaged in a single 60-minute training session per day, five days a week, for six weeks. Meanwhile, Group II did not follow any specialized training regimen but continued with their regular daily activities. Data on key physical and physiological parameters, including agility, flexibility, breath-holding time, and vital capacity, were gathered using standardized tests. Measurements were taken both before and after the training program to evaluate the selected variables. The dependent t-test and analysis of covariance (ANCOVA) were employed to analyze the pre- and post-test results for each variable separately. The findings revealed that the group undergoing High-Intensity Interval Training demonstrated significant improvements in the chosen physical and physiological characteristics. In contrast, the control group did not exhibit any notable enhancements in these measures.
Application of the balanced scorecard in an emergency department of a regional hospital in Morocco
Authors: Abdelhaq FLILISS , Tarik JELLOULI
Published: February 2025

This research aims to evaluate the effectiveness of an emergency department in Morocco using a customised Balanced Scorecard (BSC). Given the challenges faced in today's hospital environment, such as an ageing population and budgetary constraints, this study highlights key indicators that encompass the financial, customer, process and learning domains. The data is collected using a mixed method approach. The results highlight the importance of more effective data management and accumulated staff involvement in achieving sustainable performance. The aim of the optimised Balanced Scorecard is to improve both operational efficiency and patient satisfaction. Successful implementation relies on effective data management and staff engagement.
Examining The Influence of Resistance Circuit Training on Leg Strength Among Men Kabaddi Players
Authors: J Manimaran , Mohanakrishnan R. , V Natesamurthy , R Ganesh
Published: February 2025

Kabaddi involves quick movements, particularly during raids where players need explosive power to break through the defense and touch opponents. Strong legs enable players to push off quickly and generate the necessary force to maneuver effectively. Circuit training can incorporate exercises that mimic the movements and demands of Kabaddi, such as lunges, squats, pushing, pulling, and twisting motions. Examining how weight circuit training affected the lower body muscles of SRM IST Men Kabaddi players was the study's goal. Twenty male Kabaddi players from SRM IST in Tamil Nadu, India, were chosen at random to take part in this. Two equal groups of fifteen players each were formed. One group was used as the control group, and the other group engaged in weight circuit training. For twelve weeks, Group I trained with weight circuits three times a week, whereas Group II continued normal exercise activities in accordance with the curriculum without any special training. Leg strength, the selected criterion variable, was measured using a leg dynamometer. Both before and immediately following the instruction session, this variable was evaluated for both groups. To learn if there were any notable differences between the groups, covariance analysis was used. The overweight circuit training group exhibited remarkable improvements in leg strength, and the results indicated an important disparity in leg strength between the control group and the ones who underwent weight circuit training group.
Impact of Game-Specific Training and Plyometric Exercises on Selected Physical Fitness Variables in College-Level Women Ball Badminton Players
Authors: S. Sivarani , Ali Khan D.J Asath , M. Ezhilarasan
Published: February 2025

Investigating the effects of plyometric and game-specific training on particular physical fitness metrics in collegiate women's ball badminton players was the aim of this study. Thirty individuals, ages 18 to 21, were chosen at random from SRM Institute of Technology, Kattankulathur, in order to achieve this goal. Following their selection, these subjects were split into two groups at random, each with 15 participants: the experimental group and the control group. Whereas the control group did not engage in any experimental activities, the experimental group followed a program of plyometric exercises and game-specific training. This study looked at two aspects of physical fitness: arm explosive power and agility. Both a preliminary test and an extension test were part of the true arbitrarily group design used in the study. Each of the 30 participants was randomized equally to receive either the experimental group, which included plyometric exercises and training tailored to the game, or the control group. Pre-tests were given to all 30 volunteers to evaluate the chosen physical fitness factors before the six-week study period. At the end of the entire experimental period, post-tests were administered, and the results were carefully documented. A predefined level of significance, fixed at 0.05 confidence, was used for statistical analysis. According to the study's findings, participants in the plyometric and game-specific training groups significantly improved their arm explosive power and agility.
The Role of Digitalization, Big Data Analytics, and Artificial Intelligence in Transforming
Authors: Joshi Amit , Spilbergs Oec. Aivars , Miķelsone Elīna
Published: February 2025

In the contemporary technological landscape, digitalization, big data analytics, and artificial intelligence are pivotal forces driving transformation within IT businesses. Digitalization refers to the integration of digital technologies into all business areas, fundamentally changing operations, and customer interactions, while fostering a culture of innovation and agility (Enterprisers Project, 2020). Big data analytics empowers organizations to harness vast amounts of data for deeper insights, enabling informed decision-making and strategic advantages through enhanced efficiency and cost reduction. Meanwhile, artificial intelligence supports organizations in automating routine tasks, improving data analysis, and personalizing customer experiences, ultimately enhancing operational performance and scalability (19 Aug, 2024). The synergistic application of these technologies is not merely an option but a necessity for IT businesses striving to remain competitive in a rapidly evolving digital era. As companies navigate the complexities of digital transformation, they must adopt a holistic approach that includes developing robust frameworks, fostering leadership and cultural shifts, and investing in innovative solutions to unlock the full potential of these technological advancements (Enterprisers Project, 2020).
Assessment of Diabetes Knowledge Among The Government Employees of Tamil Nadu
Authors: Ramkumar N. R , Mohanakrishnan R. , Veeran V.
Published: February 2025

The active management of type 2 diabetes, a metabolic disorder, entails not only the use of supplements but also patient awareness of the need to make significant lifestyle changes. It's expected that those who understand hypoglycemia better would continue to control their blood sugar amounts. Diabetes awareness among Tamil Nadu government employees was assessed using the Diabetes awareness Questionnaire (DKQ). A cross-sectional research of Tamil Nadu government workers was carried out. Both sexes of subjects who were able to comprehend and finish interviews and were between the ages of 32 and 60 were recruited. Subjects who were unable of comprehending and filling out the forms and who were unwilling to participate were excluded. The investigation found that the population's understanding of diabetes was mediocre. A healthy diet and adequate exercise were not being followed by the majority of people. About 40% of parents in the population have diabetes. It may be possible to improve glycaemic management by increasing the understanding of diabetics. If a clinical pharmacist is involved with vigorous exercise and eating properly, this goal of increasing people's understanding of diabetes may be accomplished over time.
Morphometric Analysis of the Foramen Magnum: Insights from Dry Skulls and Imaging Techniques and Clinical Implications
Authors: Baisakh Pratima , Jena Satyaswarup , Kumari B. Shanta , Kumar Panda Dhiren
Published: February 2025

Background: The foramen magnum (FM) is a vital structure at the skull base that serves as a conduit for the brainstem and associated vasculature. Their morphometric characteristics provide essential insights into evolutionary adaptations, inter-population variability, and clinical applications.
Methods: FM dimensions were analyzed using 50 dry skull specimens and 150 computed tomography (CT) scans. Key measurements were compared between males and females, including the anteroposterior diameter (APD) and transverse diameter (TD). Statistical analyses were performed to determine the significance of sex- and population-based differences.
Results: Significant sexual dimorphism was observed, with males generally having larger FM dimensions. In dry skulls, males had a mean APD of 3.54 cm (±0.35) and a TD of 2.94 cm (±0.27), respectively, whereas in dry skulls, males had a mean APD of 3.32 cm (±0.22) and a TD of 2.82 cm (±0.27). CT scan measurements confirmed these findings and demonstrated consistency across methods. Five common FM shapes were identified that showed significant variability across the study population.
Conclusion: Understanding FM morphometry is essential for neurosurgical, orthopedic, and forensic applications. Integrating data from dry skulls and CT scans provides a comprehensive understanding of FM variability, aiding surgical planning and enhancing diagnostic accuracy for cranial base conditions.
Effects of Yoga Nidra to Enhance Self-Confidence and Reduce Anxiety Among Female Athletes
Authors: Kanchana Kanchana , Senthil Kumar M.
Published: February 2025

There can be seen a variety of obstacles such as overtraining, competing and training times, stress, academic responsibilities and travel are some of the challenges that are influencing athletes' performance. The study investigates the effect of Yoga Nidra in enhancing self-confidence and reducing anxiety among female athletes. For the study, a pre- and post-test randomized design had been applied. According to the inclusion criteria, 82 female athletes (age 18-23 years) have been selected. In the experimental group, participants had participated in a Yoga Nidra program for 12 weeks where they had to attend 3 session every week. The Yoga Nidra sessions emphasized baring the mind, being aware of oneself, and using positive mental images to bolster self-belief and combat anxiety. On the other hand, no intervention had been offered to the control group participants though, it had been suggested they continue with their normal training regimes. As a result, Yoga Nidra can reduce anxiety in the experimental group significantly and meaningfully opposed to the control group. Yoga Nidra importance is suggested by many anxiety levels explained in the model for the anxiety management techniques.
Enhancing Brain Tumour Detection using an Ensemble approach of Particle Swarm Optimization and Convolution Neural Network
Authors: Ishi Manoj , Mahajan Mahesh , Mali Makarand , Sonawane Sandip
Published: February 2025

Detecting brain tumor is vital in medical imaging research and computer-aided diagnosis to improve timely diagnosis and treatment outcomes. The diagnostic accuracy depends on the subjective analysis of radiologists applying conventional methods for brain tumor identification, which include MRI scans and biopsies. Innovations in machine and deep learning provide promising automation to improve the precision of tumor diagnosis as compared to the current methods. In this paper, image augmentation, feature extraction, and optimization methods are used to enhance the diagnosis of brain tumors. The proposed approach employs rotation augmentation, median filtering, Grey-Level Co-occurrence Matrix (GLCM) feature extraction, Particle Swarm Optimization (PSO), and a Convolutional Neural Network (CNN) to boost the accuracy and pliability of brain tumor classification. The Harvard repository dataset was used. It has a wide range of brain images for training and validation.  The convolutional neural network combines particle swarm optimization techniques to detect brain tumors in MRI images. An accuracy rate of 96.71% is obtained with this integrated approach, which surpasses the present system. An effective solution for automated tumor detection in MRI images is achieved by integrating cutting-edge image processing methods such as rotation augmentation, median filtering, and GLCM feature extraction with the optimization strengths of PSO and the effective learning capabilities of CNNs.
Aircraft Detection and Registration Number Recognition System with YOLO and OCR
Authors: Park and Won-Hyuk Choi Je-Hong , Jie Min-Seok
Published: February 2025

Recently, large airports are promoting a smart airport business that introduces robots and IoT using artificial intelligence and big data, which are major technologies in the fourth industrial era. Various artificial intelligence technologies are applied not only to customer convenience but also to airport security and control, and in particular, video monitoring and analysis technologies such as missing children are introduced through intelligent CCTV. In this paper, we propose a system for recognizing aircraft detection and registration number (tail number) taking off and landing on the runway using YOLO, a deep learning object detection model, and character recognition technology (OCR). It acquires aircraft data through cameras installed on the ground and learns it with the fastest YOLO model among deep learning object detection models to automatically detect aircraft in the airport and its registration number area. And the registration number recognized the result detected by YOLO using the OCR algorithm through the image preprocessing process. This study conducted data acquisition and real-time detection tests at Taean Airfield (RKTA) at Hanseo University in Korea, and real-time aircraft detection was more than 90% and registration number recognition was more than 80%. Through this system, information on the direction, location, model, and registration number of the aircraft can be acquired, confirming its utility as an automatic ground monitoring system for small airports in the future.