bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Public Health Care Management in Women Suffering from PCOS in India
Authors: Anand Dr. Utkarsh , Rana Naveen Singh
Published: September 2024

The concept of "health" is multifaceted and goes beyond simply being free from sickness or illness. Because the concept of health is so nebulous, it is difficult to define. Not only have the most common types of health problems changed over time, but so has our comprehension of health. In the modern world, behaviour often affects one's health because it is influenced by biological, psychological, and social factors. Reproductive processes and events mix with psychological and physiological aspects. In a similar vein, psychological disorders influence reproductive physiology and control reproductive processes. The empirical data points to several aspects that require attention for a deeper comprehension of psychological suffering and ultimately its avoidance. It is quite difficult to learn about the evolution of distress, which means that it is hard to distinguish between acute and persistent manifestations of this condition. According to the few studies that have looked into the problem of psychological discomfort in gynaecology out-patient clinics, women who frequent these clinics are thought to be more distressed than typical—about 50% of them, on average. Additionally, this study will identify the psychosocial variables and aetiology of PCOS in women.
Analysis of Public Health Care Management in Dealing with Covid 19 Situations in India
Authors: Sharma Dr. Ravinder , Ahmed Mariyam
Published: September 2024

The COVID-19 pandemic will continue to have an impact on foundation projects worldwide in all sectors, as disruptions to supply chains, a decline in customer demand, and changes to health regulations force a reevaluation of how business is conducted. Public-private partnerships (PPPs) communicate foundation initiatives, which are more difficult to govern due to the long-term authoritative obligations imposed between counterparties, such as outside loan specialists and financial supporters. In addition to determining how the targeted population generally feels about the quality of services they receive, the study aims to gain a deeper understanding of Ayushmann Bharat, a program that falls under the public-private partnership model in the healthcare sector and is necessary to support public-private partnership. The study aims to present recommendations to the government that explicitly encourage the expansion of public-private partnerships and the involvement of private and public firms in the development of healthcare. Nevertheless, there are few state-level studies that address the COVID-19 scenario. The studies on public opinion of the PPP model in the health sector have a gap that the researcher has identified. Therefore, this study aims to investigate practitioners' opinions regarding the implementation of the PPP model in the health sector as well as the public's perspective of the model's many aspects.
Analyzing The Stress Level Management for Cancer Patients in India
Authors: Nihlani Dr. Ankita , Rai Nitin Ranjan
Published: September 2024

In human life, stress is frequently associated with strain, concern, anxiety, and pressure. Stress can have positive or negative impacts and is a necessary part of life, as is well acknowledged. Physical, emotional, mental, spiritual, or social impacts are all possible.  A person experiencing illness experiences additional stress, so it is occasionally necessary to find a speedy solution to such a stressful scenario in order to determine whether an increasing level of stress could eventually overwhelm the person experiencing it. Comprehending the notion of stress is crucial, as it offers a means of perceiving an individual as a cohesive entity that reacts comprehensively to diverse forms of disorder seen in everyday existence. Patients with cancer and tuberculosis experienced anxiety as a result of their unlucky diagnosis, societal unrest, financial difficulties, and familial issues. Compared to others, they experience higher levels of stress, tension, annoyance, and anxiety as a result. For the patient, the only options are costly surgery or chemotherapy. This takes a lot of time and requires the patient's family to be very involved, both physically and emotionally. As a result, the cancer patient faces stress during the whole therapeutic process. Thus, the purpose of this study is to look into how cancer patients control their stress levels.
Leveraging Pharmaceutical Expertise for Public Health Crisis Management
Authors: Saharan Dr. Priyanka , Rao Varri Srinivasa
Published: September 2024

The focus of pharmacy practice in pharmaceutical care has evolved from medication product orientation to patient orientation, with the goal of achieving specific outcomes that enhance patients' quality of life. Because patients see chemists increasingly frequently, they can be crucial in helping patients receive individualised care and, in particular, in effectively controlling the rising number of chronic non-communicable diseases (NCDs). In India, the lack of professional training and ongoing education in pharmacy, along with a deficiency in clinical knowledge and abilities, can result in poor self-esteem and negatively impact patient care. Community chemists should become more knowledgeable by learning new material on a regular basis, improving their abilities, and leaning more towards patient-centered services than just medication dispensing. Effective pharmaceutical care practices are not always implemented in the community; these obstacles must be recognised and removed through methodical research. The purpose of this study was to determine the level of training needed for community chemists, to train them and assess how that training affected their practices and services related to pharmaceutical care, and to ultimately assess the obstacles to pharmaceutical care in different contexts and make appropriate suggestions.
Healthcare Data Analytics and Privacy Preservation by DCNN Algorithm
Authors: Jaleel Dr. Uruj , Lalmawipuii R
Published: September 2024

Data has become an integral part of the digital world with the advancement in computing technologies. The collection of data is very crucial with regards to data analytics. Every industry makes use of data analytics ranging from financial to other commercial applications but it becomes even more important in healthcare domain for the analysis of healthcare data. The present research work is mainly focused on classification/prediction problems of healthcare data based on deep learning (supervised) approaches using data mining techniques. There is a need to design an intelligent model (based on deep learning) which can classify the amount of data that is stored in our databases. Human data analytical capability rate is much smaller when compared to the amount of data that is stored. This (classification) becomes even more critical when it comes to healthcare data as it can help to detect, diagnose and treat the patients based on these classified data. The main goal of the thesis is to develop a deep learning-based model for classification tasks and the introduced DDS can be used in healthcare domain to improve the diagnostic speed, accuracy and reliability.
A Real-Time Air Quality and Public Health Monitoring and Management Model
Authors: Sharma Ravinder , Rana Naveen Singh
Published: September 2024

Inhalation of air contaminants leads to various detrimental health consequences. These harmful effects happen whenever people are directly exposed to air pollution. Health Risks (HR) lowers the intensity, duration, and regularity of exposure to air pollution. The system provides customized Air Quality (AQ) data and related HR information. This system depends on pollution, the city layout, the weather, and the chemical and physical processes that affect the pollutant’s mobility. It measures the AQ levels in many places, like homes, schools, businesses, and transportation for Public Health (PH). It uses Big Data (BD) and a surveillance system to monitor the street-level AQ. The street-level AQ modeling shows higher accuracy than reference data [17].  The PH and prediction of HR are parts of the ongoing process. It shares knowledge about air pollution and its impact on PH.
Psychometric properties of the Questionnaire for the evaluation of digital learning in higher education in Peruvian university students
Authors: Fuster-Guillen Doris , Shuan Reyna Luisa Cruz , Espinoza Jose Olivera , Hernández Ronald M.
Published: September 2024

This research presented the results of the process of creation and arrangement of the psychometric characteristics of the Questionnaire for the Evaluation of Digital Learning in Higher Education (QEDLHE). With a quantitative, predominantly instrumental approach, 379 students from different universities in Peru were considered for the validity and reliability stage. The reliability of instruments was assessed using the method of split halves with Pearson and Cronbach's Alpha ratified by the Guttman coefficient; in the exploratory factor analysis, the KMO (Kaiser-Meyer-Olkin) contrast and Bartlett's test were used, the rotation method for convergence with Varimax with Kaiser normalization; in the confirmatory factor analysis, the AMOS23 tool was used. Two models were used to compare the best fit indicators as a result. The conclusions show that the instrument has been operationalized theoretically by five dimensions composed of twenty-four items.
Analysis of AI-based Tools Challenges and Opportunities for Public Health Care Solutions
Authors: Bharti Gopesh Kumar , Jaikumar Deshmukh Vaishnavi
Published: September 2024

Healthcare Systems are essential to maintaining people's health. Determining precise diagnoses is an essential step in this procedure. As sources point out, missed and incorrect diagnoses as a widespread problem, a solution needs to be found. Emergency rooms are known to be stressful workplaces, and diagnostic errors are frequently made there. Systems, products, and services are changing quickly due to technology advancements that today's companies must adapt to. One such technology that can help with diagnosis is artificial intelligence (AI), but it also presents ethical, legal, and technical difficulties. Therefore, the purpose of this study is to examine how AI can impact diagnosis accuracy and how the technical, ethical, and legal issues of its incorporation into healthcare are related. This study looks at the idea of patient empowerment and how it might be applied to enhance the provision of patient health care.
Analyzing the Relationship between the Level of Stress and Spiritual Well-Being among Female Students in the Islamic Boarding Schools of Surabaya
Authors: Khamida  , Nisa Empi Lutfiatun , Fitriasari Andikawati , Iskandar  , Soleha Umdatus
Published: September 2024

Students' emotional and spiritual health suffer as a result of the strict regulations and daily routines of Islamic boarding schools. The purpose of this research is to identify the factors that influence the spiritual health and stress levels of boarding school students attending Islamic institutions in Surabaya. It was a cross-sectional study. A total of 214 female students from Surabaya's Islamic boarding school Amanatul Ummah were selected using stratified random sampling. Level of stress serves as the independent variable, while spiritual wellness serves as the dependent variable. the Spiritual Well-Being Scale (SWBS) and the Perceived Stress Scale (PSS-10). The Spearman test was employed for data analysis with a significance level of 0.05. Nearly all respondents (85.0%) reported considerable stress, and most reported a low level of spiritual well-being (50.9%), according to the research. There is a relationship between students' spiritual well-being and their stress levels, according to the Spearman test results (r=-0.300, p= 0.000). Students' spiritual well-being is negatively correlated with their stress levels; in other words, students' spiritual well-being is negatively impacted by students' stress levels. In order to boost the mental health of their students, Islamic boarding schools should provide recreational activities like group gymnastics.
Ensuring High-Quality Professional Training for Future Tactical Air Force Pilots in Combat Flight through the Pedagogical System's Effectiveness Justification
Authors: Nevzorov Roman
Published: September 2024

This article presents an in-depth analysis of the efficacy of the pedagogical system in providing high-quality professional training for prospective tactical air force pilots. The study encompasses the evaluation of cognitive, operational, motivational and conative, and physical components of professional training for combat flights through an extensive pedagogical experiment. Two distinct groups, namely the experimental group (EG) and the control group (CG), comprising a total of 190 participants, were established for the experiment. The assessment of professional readiness among KNAFU student pilots for combat flights involved the examination of criteria, indicators, and levels associated with each component. The experimental process entailed both quantitative measurement and qualitative interpretation of the outcomes. The study uncovered noteworthy enhancements in professional training for future tactical air force pilots, encompassing intellectual domain, simulator training quality, operational proficiency, motivational and conative aspects, physical capabilities, and psychophysiological elements. These findings contribute to the progression of military pilot education and carry positive implications for public health. By refining the training programs and pedagogical approaches for military pilots, the implemented measures can indirectly impact public health by ensuring the deployment of highly skilled and mentally resilient pilots to safeguard national security. This study underscores the interdependence between professional training for tactical air force pilots and broader public health objectives, underscoring the significance of holistic education and training approaches in the military domain.
Advancements in Telemedicine: Enhancing Public Health Outcomes through the Implementation of 5G Networks for Ultra Low Latency Communication
Authors: Deshmukh Rajesh Keshavrao , Shrivastav Mohit
Published: September 2024

With the introduction of 5G networks, a new era emerges in telemedicine, dramatically improving public health outcomes with fewer telecommunications networks. The proliferation of 5G communications networks that enable seamless remote access, routine patient monitoring, and expedited treatment on mobile devices is the driving force behind improved patient care and public health risk variety detection and maintenance. High infrastructure costs, wide adoption, and data privacy and security Despite the compelling potential of 5G in telemedicine, some barriers to adoption have been proposed for Integrating Smart Automated Healthcare Analysis (I-SAHA), using artificial intelligence (AI) and machine learning (ML). Using these, I-SAHA can analyze health information as its peak rapidly and reliably, albeit with insights related to diagnosis by physicians and prognosis. In the context of telemedicine in a 5G application, this study investigates the performance of I-SAHA applications through an in-depth simulation analysis. Through its simulation, I-SAHA demonstrates that increased speed and accuracy in remote health assessment can lead to more dynamic, personalized health care. Additionally, 5G networks enable real-time transmission of vital health information to ensure prompt medical intervention with minimal intervention. The results show how telemedicine can benefit from 5G networks and how I-SAHA applications can improve healthcare. This approach has the potential to expand access to better health care by reducing existing barriers and improving public health outcomes through innovative research on telecommunications.
Levels of Oxytocin Hormone During Breastfeeding
Authors: Laili Uliyatul , Nisa’ Fauziyatun , Windarti Yunik , Amalia Rizki
Published: September 2024

Background: The rate of successful early breastfeeding in new mothers remains low. Various factors influence the lactation process, including the levels of prolactin and oxytocin hormones in the body. Prolactin and oxytocin are crucial for lactation, with oxytocin being released in response to nipple stimulation when the baby suckles, facilitating milk ejection. Purpose: It is the purpose of this research to determine the levels of the hormone oxytocin in postpartum moms who are nursing their infants entirely. Methods: A quantitative cross-sectional design was used for the research project. It involved measuring oxytocin hormone levels during the third day after birth in postpartum women by the collection of blood samples and the subsequent analysis of those samples using the ELISA technique. Researchers also assessed breastfeeding success using observation sheets. The participants included 30 postpartum mothers who had undergone uncomplicated cesarean deliveries. Statistical tests were used to analyze the data on oxytocin levels and breastfeeding success. Results: A total of 53% of postpartum mothers were able to breastfeed successfully without encountering significant issues. The average oxytocin level in these mothers on the third day postpartum was found to be 786.8 pg/ml. Conclusion: The significant factor was found to be 0.002 after the data analysis was performed, indicating a significant relationship between oxytocin hormone levels and breastfeeding.
Effective Public Health Assessment: Research on Alzheimer Disease Diagnosis Model With Communication Technology
Authors: Nandy Manish , Dubey Ahilya
Published: September 2024

Rapid identification and appropriate management of Alzheimer's pose important challenges, particularly within public health contexts. This research introduces a unique framework for diagnosing Alzheimer's disease using communication technologies (such as wearable sensors). Novel chimp search-driven ReLu recurrent network (CS-RRN) strategy is introduced in this study for effectively detecting Alzheimer's disease. The ReLu function is employed in long/short-term memory (LSTM) to learn nonlinear dependencies, and then the chimp optimization strategy is applied to enhance the detection performance of the LSTM network. The gait signal data is collected from various wearable sensor devices to analyze the effectiveness of the suggested CS-RRN m technique. The performance of the proposed method is analyzed through a Python-driven implementation platform in terms of various metrics. The CS-RRN approach effectively achieved the maximum performance in detecting Alzheimer's disease when compared with other existing approaches. Based on the findings of this research, communication technology may substantially boost public health by providing a low-cost and high-performing method for Alzheimer disease identification.
The Influence of COMBI Method on Stunting Incidents in Pamekasan Regency
Authors: Jeniawaty Sherly , Ginarsih Yuni , Rusyadi Lutfi , Mairo Queen Khoirun Nisa
Published: September 2024

Introduction: Stunting should be forestalled by coordinated treatment programs that incorporate designated and delicate healthful intercessions. These projects require cross-area collaboration and coordination at all administrative, private, and social levels. To quit stunting, an incorporated COMBI (Communication for Behavioral Impact) technique is required. The ineffectively planned plan set up makes it trying to facilitate, simply decide, and consider individuals responsible. The 20 individuals from the Union Group for the Speed increase of Lessening Stunting act as the populace and test for this review. The motivation behind this study is to learn what the COMBI approach means for the rate at which stunting episodes happen in Pamekasan Regency in 2024. Methods: This sort of study utilizes an example size of 20 respondents and a semi trial nonequivalent benchmark group plan. approaches for get-together information that utilization pre-and post. In the event that there was a massive contrast between the treatment gathering's and the benchmark group's posttest scores, the information was examined utilizing a free t test and the Standardize Quality Test (N-Gain score). Results: In light of the exploration discoveries, the COMBI method affects the information level of the stunting union group for the situation and control bunches in Pamekasan Regency (Sig. 0.042 <0.05). It likewise affects the disposition of the case and control bunch stunting union group in Pamekasan Regency (Sig. 0.042 <0.05). At long last, there is no impact of the COMBI method of Conduct Change Communication System with the activities of the stunting union group for the case and control bunches in Pamekasan Regency (Sig esteem). 0.061 > 0.05. Conclusions: The COMBI approach, communication technique, and changing on a surface level all affect bringing issues to light and changing mentalities about rushing the decrease of stunting. This is seen from the remarkable decrease in stunting in the Pamekasan area.
Parents' Challenges To Stop School-Age Children From Developing An Internet Addiction Through Conscious Parenting And Parental Mediation
Authors: Hidaayah Nur , Budury Syiddatul , Fitriasari Andikawati , Supriati Lilik , Purwanti Nunik , Iswatun
Published: September 2024

Background: In today's digital age, many millennial parents experience conflicts with their children, which can lead to a lack of proper guidance. This often occurs when parents, feeling helpless, try to curb their children's excessive internet use, potentially reducing symptoms of internet addiction. In the context of elementary school students, the purpose of this research is to investigate the relationship between attentive parenting, parent mediation, and dependency on the Internet. Methods: This investigation makes use of a cross-sectional design in conjunction with an analytical correlation approach. The sample consists of 119 parents of elementary school students, selected from a population of 169 through purposive sampling. Data were gathered using three questionnaires: the parental model, meditation in parenthood, and online addiction tests. Internet addiction, attentive parenthood, and parent arbitration are investigated. Spearman's Rho was used for data analysis. Result: The results indicated a strong association between parenting intervention and internet addiction, as shown by the Rank Spearman statistical test showing ρ = 0.000 < α = 0.05. Furthermore, the statistical test revealed that the correlation coefficient (ρ) was 0.000, which is less than the significance level (α) of 0.05. This indicates a substantial association between attentive parenting and internet addiction. Conclusion: Internet addiction in primary school-aged children may be avoided with the support of attentive parenthood and mediation by parents. To reduce their child's risk of addiction, parents should supervise their children's internet usage and adopt good parental techniques.
Management of Public Health: A Study on Novel Strategy for Securing Health Data
Authors: Soni Sandeep , Saini Rajvir
Published: September 2024

The effective management and security of sensitive health data is becoming exponentially important to public health administration. This research examines and evaluates innovative ways to improve health data security in public health management systems to provide accessibility for authorized stakeholders. The study introduces the War Strategy Optimized Elliptic Curve Cryptography (WSO-ECC) encryption method for improving the security of primary healthcare medical records. The WSO-ECC technique, based on a war strategy framework, optimizes encryption and decryption processes by balancing exploration and exploitation phases, enhancing security while maintaining efficiency. It significantly reduces encryption and decryption times compared to traditional methods.The proposed method offers a robust solution for safeguarding medical information in public health management systems, demonstrating superior performance of 24.6 in encryption time, 23 decryption times, execution efficiency, and delay.
Predicting Nursing Graduates’ Intention for Continuous Usage of OCP- MALL App: A Benchmark Analysis
Authors: Milto Dr. Cynthia , Subramaniam Dr. Aruna , Poongodi Dr. R. , Kumar Dr. S. Ganesh
Published: September 2024

Introduction: M- learning has become a great source for nurses to up-skill their practice. Many localized asynchronous m-learning apps are emerging to fill the lacunae in nursing education, which require features to trigger and sustain self-regulated e learning behaviour. The present study takes an inventory of the engaging factors of OCP (Oral case Presentation) MALL app that support continued m - learning Method: The OCP -MALL was analysed with three determiners of continued m-learning engaging qualities bench marked by various m- learning theories I. Cognitive Engagement Quality (Perceived Usefulness, perceived Relevance of Learning, User Satisfaction Quality); II. User Satisfaction Quality (M-learning satisfaction, Perceived level of m-learning Anxiety, Ease of M- Learning App usage); Motivational Engagement Quality (Intrinsic Motivation, Extrinsic Motivation and Game Elements) by comparing the pre-and postusers’ feedback. Results: The analysis indicate that all 57 participants considered OCP - MALL as a useful app with English language training for OCP perceived as a felt need. A significant change in the confidence perceived in the use of vocabulary and fluency to present the case. The user perception survey elicited responses showed a satisfaction in using online resources (z=-4.042b, P =< 0.001), e learning support for academic performance (Z = -2.887b, P= < 0.003) and improved interaction during e - learning (Z=-3.729d, P = < 0.001), satisfaction ( z= -3.834b, P = 0.000) and peer interactions (Z= -4.417d, P = 0.000). A consistent everyday progress on OCP learning observed through the administrator’s progress tracker mode indicated a self-determined regulation to learn, a sign of intrinsic motivation.While employing digital gaming elements ‘unlocking levels of learning and assessment’, ‘receiving rewards, score points’ and ‘badges’ enhanced the extrinsic motivational quality of the app. Conclusion:The findings support that OCP - MALL app has the potential engaging qualities to influence the users’ continued learning. It is evident that asynchronous MALL applications that are developed in local regions could effective provide language learning if developed using the continuous learning factors as antecedents. Further, the identified check list of engaging factors could serve as guide post to the nursing educators who are desirous to develop need-based m- learning applications.
Psychological Preconditions of Conflict Proneness of Personality and Mental Health: The Role of Self-Regulation, Emotional Intelligence and Mutual Understanding in The Context of Interpersonal Relations
Authors: Zhvaniia Taras , Yelchaninova Tetiana , Hrytsuk Oksana , Pidbutska Nina , Drozdova Diana
Published: September 2024

This study aims at the investigation of psychological preconditions of conflict proneness in personality and mental health, with a specific focus on the roles of self-regulation, emotional intelligence, and mutual understanding. The research was oriented towards the application of qualitative methodology, particularly the analysis of transcripts of interview sessions. The findings showed that psychological preconditions of conflict proneness exist in professional, educational, and personal settings. Self-regulation, mutual understanding, and emotional intelligence were found to be important qualities which help to avoid conflicts. They contribute to increased motivation for conflict-less communication and interaction, cooperation, flexibility, improvement of active listening and problem solving, increased patience, formation of stress management skills, constructive feedback, reflective thinking, and building resilience. The special attention was paid towards the development of special strategies aimed at overcoming conflict proneness. The research findings demonstrated that the strategies include formation of communication skills, development of emotional intelligence and conflict management skills, improvement of active listening, building of stress management, development of team building activities, definition of responsibilities, creation of supporting environment, organization of immediate feedback, establishment of open communication, promotion of respect, creation of rituals, and encouragement of empathy. The outcomes can be used for the development of curriculum on the formation of conflict resolution skills.
Development of Low Cost Diagnostic Devices For Monitoring Public Health and Disease Prevention
Authors: Biradar Vijayalaxmi , Mishra Namrata
Published: September 2024

The development of low-cost point-of-care diagnostic technologies might potentially save millions of lives and protect the population from a wide range of diseases. By providing safety for everyone, these gadgets can not only reduce the cost of healthcare but also raise living standards. These easily constructed devices hold great promise for underdeveloped countries, where a greater need for affordable, reliable instruments is present due to the widespread presence of diseases. In order to address the primary public health concern and build low-cost devices for disease prevention and public health monitoring, it is suggested in this work that material engineering be used at a synergistic interface. To ensure that food and water are safe for human consumption, it is crucial to monitor them for the organism that causes infectious diseases. Contaminated water can cause a number of infectious diseases, with underdeveloped countries having the greatest rates of food and waterborne illness cases. Assessing the quality of water and quickly identifying harmful bacteria continue to be difficult tasks in the fight to protect public health and stop bioterrorism.
Advances in Public Healthcare: Computational Model for Brain Tumour
Authors: Rahman Dr. F , Lalnunthari
Published: September 2024

Accurately assessing the size of brain tumours and scheduling for their treatment both heavily depend on determining the overall size of the tumour. For brain tumour, MRI (magnetic resonance imaging) has become the gold standard for diagnosis. Classifying a brain tumour physically takes a lot of time and is mostly dependent on the operator's experience. This work advances public health by presenting a computer approach for brain tumour detection. For the efficient diagnosis of brain tumours, a novel puzzle optimization-driven kernel optimised resnet (PO-KOResnet) technique is put forth. The PO approach is used to maximise the performance of the KOResnet technique. This study used a publicly available data set that was taken from the Kaggle website. It contained 1,500 [256 x 256] MRI pictures, both with and without brain tumours, to evaluate the detection performance of the suggested method. Median filter (MF) is used to enhance the image processing by eliminating noises from the collected raw images. Also, the purpose of this study is to evaluate the suggested method's performance using a variety of measures using the Python platform. The PO-KOResnet technique outperformed other approaches in terms of accuracy value when it came to improving public health consequences globally.
Public Health and Patent Law to Access Medicine in India
Authors: Shrivastava Srishti , Baliarsingh Jayashree
Published: September 2024

India's 1970 decision to include a process patent regime in its patent legislation is regarded as a reformative step that was a well-considered reaction to internal issues including the nation's then-current socioeconomic realities. The primary goal of this research project has been to critically analyse the connections among public health, the global intellectual property law, and the availability of necessary medications, with a particular emphasis on India. The study's main focus is the persistent issue of developing and least developed nations' lack of access to reasonably priced medical care in the post-crisis age. This study aims to investigate the inherent barriers to intellectual property that impact medical access, excluding the impact of non-intellectual property impediments such as distribution, infrastructure, quality, and medical facilities. The purpose of this study is to examine how patent law affects drug accessibility while accounting for drug costs.
Digital Literacy as an Indicator of Adolescent Mental Health and Implementation for the Role of School Counselor: A Systematic Literature Review
Authors: Saputra Nur Mega Aris , Muslihati  , Ramli M. , Sobri Ahmad Yusuf , Madihie Amalia , Fitriyah Fifi Khoirul
Published: September 2024

The impact of problematic social media leads to mental health tendencies experienced by teenagers. One of the skills that teenagers are pioneering in using social media is digital literacy skills. The tendency for low levels of digital literacy among teenagers is very likely to be correlated with the mental health conditions of teenagers. This research aims to describe the correlation of digital literacy as an indicator of adolescent mental health and how role of school counselors. This research method is a systematic literature review with the search keywords "digital literacy"; "adolescent mental health"; "digital literacy and mental health" on the ScienceDirect, Sage, Taylor and Francis platforms. The results of the identification resulted in 14 articles which were studied in depth and resulted in the finding that digital literacy skills contributed to the mental health conditions of teenagers. Digital literacy is a link between teenagers and the digital world which will have an impact on mental health. Implementation of prevention and intervention is carried out by school counselors to prevent the impact of adolescent mental health problems.
Evaluating the Public Health Benefits of Renewable Energy Systems: How Smart Grid Technology Can Be Used to Enhance Community Health
Authors: Mishra Nidhi , Shivaji Ghorpade Bipin
Published: September 2024

Integrating smart grid technologies into renewable energy systems, however, is still limited by several barriers. Technical complexity, high initial costs, intricate infrastructure and potential cyber threats are all part of the game. Solving this problem is what the proposed Enhanced Social Energy Levels Optimization Analysis (SELOA) approach aims at; it is also targeted at ensuring that there is equal participation for each person in the society during the shift to renewables hence improved justice in energy consumption and distribution. Proposed application areas for residential energy management, public health monitoring and emergency planning are hardly exhaustive. SELOA use can promote healthier communities while achieving sustainable use of energy. The method was tested through simulating SELOA on various actual situations. Thus this research has indicated that less pollution from conventional power generation as well as more efficient generation methods would lead to improved health among people in various communities. These results imply that integration of Smart Grid technology with renewable energy systems could be a major contribution towards both appropriate sustainability and public health based on our finding.
Analysis of Adolescent Menstrual Hygiene Health Promotion
Authors: Syamson Meriem Meisyaroh , Pratiwi Wilda Rezki , Tahir Muhammad , Sukarta Asmah
Published: September 2024

Introduction: Maintaining teenage girls' organs in good physical and mental health during their menstrual cycles requires them to practice good personal cleanliness. Aim: understand how early menstruating teenagers' attitudes and knowledge are affected by health promotion efforts related to menstrual hygiene. Method: Pre-Experiments with a single group Pretest-Posttest design, combined with Wilcoxon Test purposive sampling are utilized in quantitative research. Results: The study's conclusions demonstrated that teenage girls' knowledge and attitudes improved and had a positive effect on their menstrual hygiene after receiving health promotion. Conclusions; That early menstruating teenagers' knowledge and attitudes are impacted by health promotion efforts related to menstrual hygiene
Customer Awareness of Medical Wearable Health Care Technology and Policy Management in India
Authors: John Byju , Rai Nitin Ranjan
Published: September 2024

Patient and healthcare providers can take preventive actions based on a review of vital signs obtained remotely with wearable medical devices thanks to Internet of Things-based wearable sensors and an integrated cloud platform. Provide essential home care that is as clean and well-manicured as the intensive care unit (ICU), complete with remote vital sign monitoring. In India, there is no governing agency for healthcare. Healthcare professionals are concerned about the dependability of medical devices in the absence of sufficient laws, which makes them prefer to employ conventional medical devices.  Based on related dangers, medical gadgets are to be divided into four types. Converging, analysing, and applying massive data collected by wearable medical devices for use in illness diagnosis, mitigation, and preventive therapy is a challenge to the medical business. By exchanging real-time data, the use of wearable medical devices would not only aid to strengthen patient-physician relationships but also decrease the need for human interventions. To uncover consumer awareness difficulties in the adoption of these devices, this paper explores the possibilities of the Internet of Things in the medical wearable business.
Data-Driven Public Health Surveillance: Identifying Influenza Trends via Social
Authors: Bhaskar Rajeev Kumar , Kumaraswamy Balasubramaniam
Published: September 2024

The internet era makes it appear outdated to monitor and identify influenza using traditional methods. Among the long-term public health problems that influenza might exacerbate include diabetes, asthma, congestive heart failure, sinus infections, ear infections, and bacterial pneumonia. Deep learning (DL) techniques for influenza identification are more efficient than traditional approaches in terms of logistics and cost. The benefit of influenza prediction lies in its ability to minimize morbidity and mortality by allowing relevant departments to implement appropriate preventative and control actions after evaluating forecasted data. This research develops a Runge Kutta optimized Dynamic Gated recurrent unit (RKO-DGRU) public health with for influenza identification. Initially, the dataset is collected from kaggle and preprocessed utilizing the lemmatization method. Our approach can result in a sensitivity of 86.69%, specificity of 93.68%, and 97.5% accuracy. The findings highlight the possibility of applying DL approaches to efficiently identify and categorize influenza using data gleaned from conversations on open networks. It can thus provide efficient ways to stop and manage an Influenza epidemic.
Efficient Intrusion Detection in Patient Health Records Based on LSTM-Based RNN
Authors: Sharma Nikita , Ramesh Hajare Hirendra
Published: September 2024

Advancements in Information and Communication Technology applications play an important role in the field of healthcare and bio-medical engineering. The process of image processing and analysis starts from receiving visual information to giving out the description of the scene for improving the visual appearance of the human viewer and extract the features of the data. Moreover, IDS can be deployed along with other security mechanisms as a line of defence to ensure security of system and network resources. There have been various efforts in designing IDS using Machine Learning (ML) techniques. Additionally, by developing a hybrid strategy for intrusion detection and classification and using feature engineering approaches to extract significant features for learning, among other things, efforts have been made to improve the classification performance of ML-based IDS. However, as networking technology have advanced, attack types have evolved as well. For this reason, an efficient and successful intrusion detection and classification system must be created. To address the issue and achieve good generalization ability for intrusion detection and classification, the paper presents empirical analysis of LSTM based RNN classifiers. The suggested methods' effectiveness is assessed using a range of performance metrics, such as recall, f-score, accuracy, precision, and False Positive Rate (FPR). The LSTM based RNN method recognize attacks with 99.2% accuracy with minimum time complexity (5 s).
Electromagnetic Field Exposure Assessment for Public Health Risk
Authors: Biradar Vijayalaxmi , Patel Pushplata
Published: September 2024

The proliferation of life-improving devices in our everyday personal and professional lives due to recent technological breakthroughs has significantly changed the ambient natural electromagnetic field levels. As a result, the rapid use of these electronic devices has given rise to a phenomenon known as "electromagnetic pollution" or "electro-pollution." EMRs are a growing source of pollution in both personal and professional settings, and they constitute a risk that could have long-term negative effects on health. Previous studies in the bioelectronics sector have shown that electromagnetic fields (EMF) can cause harm from a variety of sources. Nevertheless, concurrent researchers have also eliminated the potential for unfavourable health consequences, which breeds ambiguity and impedes the comprehension of EMF bio-effects and bio-interaction mechanisms. Consequently, further research is required, particularly in the field of public health, as epidemiological studies are crucial for assessing the health risks associated with electromagnetic fields.
Enhancement of Health Services: Advanced Security Mechanism for Telemedicine in Public Health Practice
Authors: Biswas Debarghya , Tiwari Ankita
Published: September 2024

The sudden advancement of telemedicine in the healthcare industry presents potential hazards such as cyber-attacks and network susceptibilities, in addition to difficulties in patient privacy, data protection, and public health monitoring. To avoid illegal access, digital watermarking and precise medical image transfer are essential. Thus, for telemedicine in public health action, we introduce a unique security mechanism termed wavelet crypto fast decomposition with penguin optimization (WCFD-PO). Rivest-Shamir-Adelman (RSA), wavelet transforms (WT), and fast random singular value decomposition (FRSVD) encryption algorithms make up the suggested security methodology. By using the methods WT and FRSVD, one can decrease computing complexity and increase robustness. The PO approach offers a better-optimized scale factor in the fewest groups and repetitions as compared to the RSA approach, which is used for encrypting the watermarked image. The proposed mechanism is implemented by employing a Python application. Comprehensive testing indicates that our novel approach functions better than the current techniques, demonstrating the technique's higher efficiency. With the assistance of secure telemedicine solutions, this investigation offers physicians and tech programmers insightful information that will boost public health management.
Examining Counselor's Executive Function Skills Across Career Phase: Comparing Preservice, Novice and Experienced in Healthcare Performance
Authors: Yunita Mila , Hidayah Nur , Atmoko Adi , Ramli M. , Fitriyah Fifi Khoirul , Hanafi Husni
Published: September 2024

Executive function became an internal counselor skill that plays a role in navigating complex client problems, making informed decisions, and maintaining professional effectiveness. Counselor executive function skills were not primarily developed during preservice education. This study aims to examine executive function skills by comparing the performance of preservice, novice, and experienced counselors. This research method uses a non-experimental quantitative design involving 99 counselors (36 experienced, 28 novice, and 35 preservice). Measurements used the Counselor's Executive Function Questionnaire (CEFQ), and the data results were analyzed using descriptive and comparative analysis (ANOVA). The results showed there were no significant differences between preservice, novice, and experienced counselors. However, experienced counselors still show the most important differences among others. These results predict that education and experience factors are unstable and may trigger executive dysfunction. This research suggests exploring executive function skill factors related to counselor performance, as well as programming counseling evaluation and supervision to optimize counselor professional growth.
Design And Characterization Of Regenerative Potential In Full Thickness Burn Wound Model
Authors: Ranjan Ashish , Dubey Akanksha
Published: September 2024

Hydrogel is a three-dimensional network of interconnecting polymers that is crosslinked and consists of hydrophilic polymers that can absorb and endure water. Because it mimics the extracellular matrix (ECM), the hydrogel has found widespread use in pharmacological and biological applications. Many types of wound dressings are based on hydrogels due to its many advantages. These dressings include Coseal, Tegaderm, Algisite, and Evicel. Notwithstanding their exceptional ability to cure wounds, they have many drawbacks, including expensive expenses, unfavourable storage conditions, and inadequate mechanical protection for the wound. As we have come to realise the need for dressings with greater performance qualities (e.g., antimicrobial, biodegradable, responsive, and injectable), the field of wound dressings has attracted an increasing amount of interest. The purpose of this work is to evaluate the hydrogel loaded with 7, 8-Dihydroxy flavone's healing capabilities in a full-thickness burn wound model.
Design of Epidemic Model For Covid-19 Disease Prediction Using Deep Learning
Authors: Bhaskar Rajeev Kumar , Kumaraswamy Balasubramaniam
Published: September 2024

Promising technologies are available in the developing field of Public Health Surveillance (PHS) to help public health authorities make decisions more quickly by expediting the process of monitoring, analysing, and using unofficial sources. The cornerstone of public health practice is public health surveillance. Influencing policy decisions, spearheading new program initiatives, improving public relations, and helping organisations assess their research expenditures all depend on surveillance data. Public health experts may find that mathematical models are an effective tool in controlling epidemics, which might result in a significant drop in the number of cases and deaths. Moreover, decision-makers can optimise prospective control strategies, including as vaccination campaigns, lockdowns, and containment measures, by using mathematical models to produce long- and short-term forecasts. This work suggests the evolution of epidemics.