bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of compliance among hypertensive patients visiting Rizgary Teaching Hospital in Erbil City
Authors: Omer Rezhan Dler , Ahmed Halgourd Fathulla , Rashid Baref Zahir
Published: December 2024

Background and Objectives:This study assessed the adherence to antihypertensive medications among hypertensive patients, and to identify the factors affecting adherence. Hypertension requires long-term medication adherence to prevent further complications, yet maintaining consistent adherence is challenging for many individuals. Methods:A cross-sectional study was conducted from April to December 2024 in Rizgary Teaching hospital in Erbil City, involving 206 hypertensive patients on medication for over three months. Data were collected through a structured questionnaire covering demographics, clinical characteristics, and adherence measured by the Morisky Medication Adherence Scale (MMAS-8). Statistical analysis using SPSS version 27 evaluated associations between adherence and sociodemographic status , chronic diseases, and polypharmacy.Results:Out of 206 patients, 78.2% were non-adherent, 18.4% were partially adherent, and 3.4% were adherent. The study comprised 52.4% females and 47.6% males participants, with 62.1% aged 30-60. Most of the participants lived in the city center (61.2%), were unemployed (57.3%), and had a diploma or lower education (47.6%). A significant part (77.2%) had other chronic diseases, and 85% were using more than one medication. Adherence was highly linked to factors such as age, education, and polypharmacy.statistically all the socioeconomic factors were significant,but in clinical factos category only checking blood pressure regularly was significant.Conclusion:Adherence was observed to be low to antihypertensive medications,this non compliance was influenced by factors such as age, education, and polypharmacy. Targeted interventions focusing on patient education and healthcare are needed to enhance adherence to medications, manage hypertension and prevent complicatoions.
Quadruple and Quintuple Helix Innovation: A Multi-Actor Approach in Reducing the Prevalence of Stunting at Jeneponto Regency, Indonesia
Authors: Mustari Nuryanti , Wahid Nur , . Muhajir , . Herman , Arfah Iqbal Nur , Chandra Diky
Published: December 2024

This study aims to determine collaboration between government actors, industry, universities, non-governmental organizations and the media in reducing the prevalence of stunting at Jeneponto Regency. Qualitative methods used by collecting data through interviews, documentation and observation. The results of the data obtained then transcribed into an accurate tool called Nvivo 12 plus. The analysis units used main map and work frequency. This study found that collaboration between government, private, university, non-governmental organizations and media actors had a significant influence in reducing the prevalence of stunting at Jeneponto Regency. To overcome the high stunting rate in Jeneponto Regency, collaboration between actors was needed, including government actors, industry, educational institutions, non-governmental organizations and media. All these actors must work well together. Apart from that, it was also important to know the causes of stunting rate to remain high in Jeneponto Regency. The cause of stunting was the environment, including sanitation and access to clean water, which was very important to prevent stunting.
AN OVERVIEW OF THE DETERMINANTS OF NUTRITIONAL STATUS OF ADOLESCENT GIRLS IN TELOK PAKEDAI KUBU RAYA SUB-DISTRICT, WEST KALIMANTAN
Authors: Jaladri Iman , . Sopiyandi , . Desi , Gambir Jurianto , Hariyadi Didik , Purba Jhonni Syah R
Published: December 2024

One of the efforts to reduce stunting in children under five is to pay attention to nutrition problems in adolescents. This is important considering that nutrition problems in adolescents have many determinants. The main problems in the form of diet and infection still do not get a clear picture. Especially in geographically isolated areas. The purpose of this study was to determine the description of nutritional status and determinant factors associated with the nutritional status of adolescents in Telok Pakdai District, Kubu Raya Regency. This type of research is crossectional, which is a study in which data collection is done at one time. The population in this study were all adolescent girls. The sample in this study were all adolescent girls from 10 villages in Telok Pakedai District. Data analysis shows that there is a relationship between diet and knowledge of nutritional status, but there is no relationship between history of infectious diseases and nutritional status in adolescent girls in Telok Pakedai District.
Respiratory Vaccination And Their Correlation On Incidence, And Severity Of Illness In Children Admitted To Hospital For Pneumonia
Authors: MV Dr Krithika , Ramanan Dr Apoorva V , A R Dr Somashekar
Published: December 2024

Pneumonia accounts for 14% of all deaths of children under 5 years old, killing 740 180 children in 2019. India has the second highest burden of childhood pneumonia deaths worldwide. With a child infected with Pneumonia every second, India contributes 26% of the total pneumonia cases worldwide for the period of 2019-21. In the years 2019-21, the average occurrence rate of Pneumonia in India was 2.8% according to the NHFS – 5-6. Based on the data from the Sample Registration System, the under-five mortality rate was seen to be 32 per 1000 live births. Pneumonia was identified as the second most common cause of mortality, with 19.4 percent of deaths in the age group of 1-4 years and 16.8 percent in the age group under 1yearold in India from 2016 to 2018. Prevention efforts, such as vaccination and promoting good hygiene practices, are crucial in reducing the impact of pneumonia on children's health.
Optideneffnet: Deep Learning Framework For Retinal Diseases Prediction
Authors: Malakar Antara , Ganguly Ankur , Chakraborty Swarnendu Kumar
Published: December 2024

The eye is the primary sensory organ involved in vision. Since some eye conditions might result in blindness, it is important to diagnose and treat them as soon as possible. In ophthalmic diagnostics, it is essential to identify various ocular illnesses from fundus images. On the other hand, subjectivity and mistake arise when ophthalmologists manually detect images. As a result, several automation techniques are developed, however they need to improve in terms of classification accuracy. This work proposes a novel multi-label automated Deep Learning (DL) prediction system called OptiDenEffNet, which can identify various retinal illnesses, as a solution for such challenges. The study begins with an extensive pre-processing step includes label encoding, data cleaning and normalization. The proposed OptiDenEffNet model, which combines many DL blocks, and the Attention Block, which act as feature descriptors, are then used to extract discriminative deep feature representations. Finally, a Discriminative Gated Recurrent Unit (DGRU), a highly developed prediction model is used. This DGRU can provide a probability distribution that precisely predict eye disorders on particular age by incorporating a Softmax layer to its architecture. Extensive tests are conducted on the challenging Ocular Disease Recognition Dataset using Python platform. The proposed model achieves the maximum accuracy of 98.269% and 99.691% in the 70:30 and 80:20 data splits respectively. The results specify that the proposed OptiDenEffNet model works better than state-of-the-art for predict retinal diseases.
Adenoidal nasopharyngeal ratio and its correlation with skeletal class II malocclusion in children: A cross-sectional study
Authors: A.R Dr. Yusuf , Fernandes Dr. Sharrianne , Roy Dr. Priya , Ganiger Dr. Chanamallappa , Pawar Dr. Renuka , Phaphe Dr. Sandesh , Mane Dr. Pratap
Published: December 2024

Introduction: The relationship between skeletal class II malocclusion and airway has gained significant interest in the field of orthodontics and is crucial for accurate diagnosis and treatment planning. Various etiologies contribute to airway obstruction, which may disrupt the breathing pattern and swallowing functions, affecting the development of the craniofacial complex and consequently resulting in the development of skeletal Class II malocclusion. Adenoid hypertrophy (AH) has been linked to cardiopulmonary complications, craniofacial growth disturbances and obstructive sleep apnea. Patients with AH often exhibit a characteristic adenoid face and mouth breathing pattern with a narrow constricted maxillary arch and retrognathic mandible. Adenoidal- nasopharyngeal ratio is a simple linear measurement obtained from lateral cephalograms that can reliably express adenoidal size and patency of the nasopharyngeal airway and give further insight into the etiology of development of class II malocclusion and correlation with the same. Materials and methods: Sample of 40 individuals between 10-16 years of age was divided into two groups of 20 each based on their ANB angle, Group A comprised of individuals showing skeletal class I and group B showing skeletal class II malocclusion respectively. Lateral cephalograms were taken and AN ratio was assessed using the Fujioka et al method for both groups. AN ratios were correlated with skeletal class of malocclusion and values of both groups were compared.
Therapeutic Potential of eMedica's Electron-Driven Cell Therapy in Treating Cancer: Addressing Fundamental Aspects of Cellular Physiology
Authors: Reddy Dr. B Sridhar , Khatri Dr Vaishali , Begum Dr. Gulam Saidunnisa , Rohera Hemant , Chouhan Dr. Ramesh , Nagpal Dr. Deepak
Published: December 2024

Cancer remains one of the leading causes of morbidity and mortality globally, prompting continuous exploration of innovative therapeutic modalities. eMedica’s electron-driven cell therapy represents a promising frontier in cancer treatment, harnessing the principles of cellular physiology to enhance therapeutic efficacy. This paper elucidates the foundational aspects of cellular physiology that underpin eMedica’s therapy, discussing its implications for cellular metabolism, signal transduction, and microenvironment interactions. By integrating advanced bioengineering techniques with an understanding of cellular dynamics, this electron-driven approach aims to provide targeted, efficient, and biocompatible treatment options for cancer patients.
Impact of Physician Personality Traits on Drug PrescriptionBehaviour
Authors: BANDI Dr. Viswanath , Dey Dr. Subrata Kumar , O R S Dr.  Rao
Published: December 2024

Purpose: Our research investigated how physicians’ personality traits influence and interplay with other factors guiding their prescribing and medical decisions in a branded generics market like India.Design/methodology/approach:Our research is based on a conceptual framework andsurvey questionnaire developed from an extensive literature review on independent variables. Along with the other independent variables like Physician’s professional factors, Product-related factors, and product promotion factors, for physician’s personality traits as a factor, the survey questionnaire was integrated with HOGAN’s MVPI Questions, which were exposed to 171 respiratory physiciansfor recording their responses. Statistical methods or tools like descriptive personality, and inferentialstatistics from the latest SPSS 21 version have been employedFindings: Our findings showed that respiratory physician’s product prescribing decisions were significantly influenced by their specific personality traits such as Altruistic traits, Security traits, and Commerce traits apart from other factors such as Physician’s professional and pharmaceuticalProduct-related factors.Practical implications: The findings highlight the critical necessity for a thorough recording of physicians' prescribing practices, which are significantly influenced by their distinct personality traits. Healthcare authorities must prioritize the regular assessment of physicians' psychological well-being and overall health. This proactive approach enables physicians to promptly address any health issues in cases of burnout, thereby ensuring the continuous delivery of high-quality patient care. With the government making it, mandatory for all pharmaceutical organizations to follow the uniform product promotion code (UPPC) while promoting products to physicians, marketers need to strategically allocate optimal resources and outreach efforts with tailor-made marketing mix elements that are aligned with the preferences and personality traits of physicians, aimed towards enhancing their clinical knowledge, followed by the development of continuous patient initiatives aiming to improve their awareness, can lead to the development of belief with two-way communication among them leading to better treatment adherence and compliance from patients end. Such dedicated efforts initiated by the marketers, in the long term cancultivate trust and empathy between physicians and patients, laying the robust groundwork for patient-centered disease management. This can enable the development of goodwill or a better perception of pharmaceutical organizational promotional efforts by physicians, which is one of the aims of getting physician’s prescriptions for the promoted product.
Efficient Retrieval of Separated Endodontic Instruments: A Case Series Using the TS Infinite Loop System in the Coronal, Middle Thirds
Authors: Mahale Dr. Vivek Devidas , Saxena Dr Tanushree , Ranjan Dr Manish , T Dr Vigneshwar
Published: December 2024

Instrument separation during endodontic treatment presents a significant challenge, often leading to compromised treatment outcomes. This case series focuses on the successful retrieval of separated instruments from the root canal system using the TS Infinite Loop System. Three clinical cases involving separated instruments in the mesiobuccal canals of mandibular molars are presented, demonstrating the procedural approach and techniques used for retrieval. A combination of ultrasonic troughing and the TS Infinite Loop System enabled precise removal of fractured instruments without unnecessary dentin removal or canal enlargement. This series highlights the efficacy, precision, and potential of the TS Infinite Loop System as a reliable tool for managing instrument retrieval in challenging clinical scenarios.
Enhanced Speech Emotion Recognition based on Convolution Neural Networks using MLP Classifier and KNN
Authors: Sundravadivelu Dr. K. , Sornalakshmi Dr. M. , Priya Mrs. M. Lakshmi , Kahvya Ms. G.
Published: December 2024

The paper aims to recognize emotions from speech using CNNs, leveraging well-known databases such as EmoDB and RAVDESS. It proposes a CNN-based architecture for emotion recognition. The proposed model is trained and evaluated in both speaker-dependent and speaker-independent settings. Speaker-dependent means the model is trained and tested on the same speaker's data, while speaker-independent means testing is done on speakers not seen during training. Techniques such as data augmentation and advanced pre-processing are included to enhance model performance. The results indicate that the proposed CNN architecture achieves comparable performance with state-of-the-art methods. It surpasses traditional systems in terms of accuracy or other relevant metrics. The paper contributes by proposing a CNN-based approach for speech emotion recognition using MLP classifier, which is evaluated on established databases and shows promising results compared to existing methods. It also explores various aspects of dataset properties, speech signal analysis, and classifier methods relevant to emotion recognition tasksdocuments in various Scopus indexed journals was examined bibliometrically, for the years 2014-2024.
Gender, Ethnicity, and Age on TikTok: Content Analysis of Ecuadorian Tiktokers
Authors: Burgaleta-Pérez Elena , Gancino Jaime Mauricio , Lalangui Edison Cristobal , Molina Paulina Gabriela Rubio , Medina Blanca Lilia Arias
Published: December 2024

The social network TikTok has seen significant growth since its launch in 2016. It currently has more than one billion users worldwide. In the case of Ecuador, the platform experienced an increase of more than 30% in users from September 2022 to the first quarter of 2024. Given this revealing panorama, this study aims to know what type of content is being disseminated and what differences in relation to gender, age and ethnicity, are found in the videos uploaded by Ecuadorian tiktokers. Using the content analysis methodology, 1,865 videos from 19 Ecuadorian TikTokers, between 18 and 36 years old, with more than 800,000 subscribers, were studied. Likewise, the Pearson correlation coefficient was applied with the Chi Square test to analyze whether there is a correlation between the three variables and the types of content. The results show that the most popular content corresponds to the categories of music, humor and scenes of everyday life. There is a presence of Tiktokers over 30 years old, which means that TikTok is ceasing to be a platform exclusively for teenagers, evolving towards more adult generations. The results revealed that female TikTokers have a greater following in relation to the number of subscribers and content. The data in relation to ethnicity reflects a statistical correlation that allows us to confirm that there are differences in the productions between indigenous and mestizo tiktokers.
Microbiome and Chronic Disease
Authors: Jazzan Malek
Published: December 2024

The origin of “microbiota” can be dated back to early 1900s. It was found that a vast number of microorganisms, including bacteria, yeasts, and viruses, coexist in various sites of the human body (gut, skin, lung, oral cavity). The gut microbiome, in particular, has been closely linked to metabolic conditions such as obesity, type 2 diabetes, and non-alcoholic fatty liver disease (NAFLD). Dysbiosis, or an imbalance in the gut microbiota, can impair the gut's ability to regulate metabolism, insulin sensitivity, and inflammation. Key mechanisms by which the microbiome affects metabolic diseases include: Short-chain fatty acids (SCFAs), inflammation and energy harvest. The gut microbiome is crucial for regulating metabolism, energy balance, and immune function. Disruptions in the gut microbiome have been associated with conditions such as obesity, type 2 Diabetes and non-alcoholic fatty liver disease (NAFLD).Maintaining a healthy microbiome through a balanced diet, regular exercise, and careful use of antibiotics can help reduce the risk of conditions like obesity, type 2 diabetes, cardiovascular disease, autoimmune disorders, and even some cancers. As research in this area continues to evolve, the microbiome may become a key target for the prevention and treatment of chronic diseases.
PREVENTION AND CONTROL OF NON-COMMUNICABLE DISEASES (NCDs) THROUGH INTEGRATEDDEVELOPMENT POSTS (POSBINDU) ON CAMPUS.
Authors: Duma Krispinus , Bahktiar Rahmat , Fitriany Evi , Weraman Pius , Maria Ida Leida
Published: December 2024

Non-communicable diseases have been increasingly attacking young people lately, and are slowly killing the productivity of the younger generation. The purpose of this study was to describe the risk factors for non-communicable diseases (RF-NCDs) in the campus community. This type of research was descriptive observational, the population was the campus community with respondents from each faculty. Risk factors for NCDs experienced by the campus community were identified through posbindu activities. Results: Around 4.41-20.59% of the campus community participating in the posbindu activities had NCD symptoms. Behavioral risk factors include lack of vegetable and fruit consumption, lack of physical activity and smoking. ‘Intermediate’ risk factors include waist circumference, BMI, uric acid, random blood sugar and cholesterol. Conclusion, symptoms of RF-NCDs in the campus community of Posbindu participants have hidden RF (heredity and behavior) and ‘intermediate’ RF in the form of waist circumference, BMI, cholesterol and uric acid. Commitment is needed for prevention and control of RF-NCDs as early as possible through Posbindu activities.
Adaptive Graph Convolutional Network for the Document Prediction employing Dollmaker Optimization Algorithm
Authors: Elavarasi T. , Nagarajan Dr.R.
Published: December 2024

Document prediction is the application of advanced deep learning models in the analysis and prediction of the content of documents. Thus, it effectively improves text generation, information retrieval, and automatic summarization by changing the ways relating to textual data completely. This field is particularly challenging because maintaining high prediction accuracy requires efficient computing and scaling. Hence, this paper performs the document prediction using advanced deep learning-oriented optimization methodology. The data is first collected from online sources that consist of a group of documents together with their corresponding categories. The pre-processing of this collected data is next accomplished using the stop word removal, invalid character removal, and sentence segmentation approaches. The features are then extracted from these pre-processed data employing the Difference of Gaussian (DoG) method. The final prediction stage is done by the novel Adaptive Graph Convolutional Network (AGCN), in which the parameters are tuned by the well performing optimization algorithm known as Dollmaker Optimization Algorithm (DOA) with the consideration of error minimization as the fitness function. The findings demonstrated the superiority of the proposed model when it is compared with distinct conventional models.The proposed AGCN-DOA for the document prediction model in terms of prediction accuracy, MSE, MAE, MAPE, and RMSE is 11.18%, 94.73%, 31.71%, 47.73%, and 77.03% better than the considered existing methods respectively..
Exploring the Synergy of AI and Blockchain in Insurance: A Bibliometric Mapping and Analysis of Research Trends
Authors: K Syamkumar , Sridevi J.
Published: December 2024

Integrating artificial intelligence (AI) with blockchain in the insurance industry has transformed risk assessment, streamlined claims processing, and enhanced data security, resulting in more efficient and transparent operations. This study conducts a bibliometric analysis to examine the scholarly landscape on AI and blockchain applications in insurance, using Biblioshiny and VOSviewer software to analyze data from the Scopus database. Key metrics explored include Annual Scientific Production, Most Significant Authors, and Most Relevant Sources, shedding light on influential contributors and foundational publications. Additionally, we examined the Most Globally Cited Documents and Trend Topics to trace the evolution of research interest over time. Clustering methods such as Clustering by Coupling and Thematic Mapping provided insights into the structural composition of the field. By assessing the Co-occurrence of Keywords and the Citation Network of Authors, the analysis highlights prominent topics and collaborative patterns. The Co-Authorship by Country metric further reveals international partnerships in advancing AI and blockchain research for insurance. Through this study, several research gaps were identified, such as the need for deeper exploration of human-centered insurance applications and blockchain-based peer-to-peer models. These findings offer valuable insights for researchers and practitioners, guiding future studies and innovations in the field..
Automated Visceral Adipose Tissue Segmentation and Quantification from Abdominal MRI using an Enhanced U-Net and Region-growing
Authors: Devi B Sudha , Misbha D. S
Published: December 2024

The study focuses on enhancing the accuracy and reliability of visceral adipose tissue (VAT) segmentation and quantification from abdominal MRI images. Accurate segmentation of VAT is crucial for assessing obesity-related health risks, as traditional methods struggle with irregular shapes and varying intensities. The research utilizes a methodology consisting of three key modules: homomorphic filtering for intensity inhomogeneity correction, a U-Net architecture with attention mechanisms for primary segmentation, and a region-growing algorithm for refining segmentation. Homomorphic filtering effectively separates bias fields, enhancing image quality by transforming multiplicative artifacts into additive ones and removing them with high-pass filtering. This process ensures precise segmentation by maintaining high-frequency anatomical details. The U-Net model incorporates attention mechanisms and skip connections to focus on VAT regions, utilizing both local and global image contexts.The Combined Healthy Abdominal Organ Segmentation (CHAOS) challenge dataset and the Cancer Imaging Archive (TCIA) dataset are used to train and evaluate the model. It achieves a Dice Similarity Coefficient (DSC) of up to 0.985 on the CHAOS dataset and 0.972 on the TCIA dataset, outperforming existing methods in terms of segmentation accuracy. The region-growing algorithm further refines the segmentation by expanding VAT regions from high-confidence seed points, ensuring accurate boundary delineation and reducing noise. The study's results, evaluated using k-fold cross-validation, show that the proposed methodology significantly improves VAT segmentation efficiency, achieving a median DSC of 0.96 for the CHAOS dataset and 0.95 for the TCIA dataset in the most comprehensive experimental scenario. Comparative analysis indicates that the proposed approach outperforms other models, with higher sensitivity and specificity values, highlighting its potential for clinical applications in obesity management..
REVISITING ORAL IMPLANTOLOGY: NAVIGATING THE COMPLEXITIES OF CONGENITAL AND DEGENERATIVE BONE DISORDERS
Authors: KHETARPAL SHALEEN , RATRE MADHU SINGH , PATLE NEHA , VERMA MANISH , BANSAL RESHAMA , MP ALFAS RASI
Published: December 2024

The placement of implants in patients with congenital and degenerative bone disorders presents significant challenges due to compromised bone strength and volume. These conditions often result in fragile, misaligned, or insufficient bone structures that complicate traditional implant techniques and outcomes. Diseases such as osteogenesis imperfecta, rheumatoid arthritis, Paget's disease, and other systemic skeletal conditions exacerbate these difficulties. This review explores various strategies to improve implant outcomes, including bone grafting, osteoinductive agents, advanced implant designs, and the use of 3D imaging and computer-assisted design technologies to enhance pre-surgical planning and address anatomical limitations. It emphasizes the need for a multidisciplinary approach, involving dental, medical, and surgical teams, to ensure successful treatment outcomes. Moreover, emerging biological therapies, especially stem cell-based strategies, hold great promise for promoting bone regeneration and enhancing implant integration in individuals with fragile bone structures. The review also delves into the underlying mechanisms of these disorders, their effects on bone remodelling, and the altered healing processes that influence implant success.
Early Detection of Parkinson’s Disease Using Novel Deep Learning Frameworks Optimized with Advanced Techniques and Machine Learning Models Evaluated through Performance Metrics
Authors: Manisekharan K. , Murugan A.
Published: December 2024

Parkinson’s disease (PD) is a progressive neurodegenerative condition that frequently remains undiagnosed in its early stages due to subtle and overlapping symptoms. This study presents an innovative approach that integrates advanced deep learning architectures, optimization techniques, and machine learning models to enhance the accuracy of early PD detection. By utilizing performance metrics for model evaluation and comparison, the research identifies the most effective methods for achieving precise and reliable diagnoses. The proposed framework exhibits exceptional performance in differentiating early-stage Parkinson’s cases from healthy individuals, contributing to improved clinical decision-making and enabling timely interventions. Experimental results provide to prove the proposed frame work techniques using ML and DL with better optimizations and its performance metrics.
MOBILE LEARNING APPLICATIONS AND CHANGES IN MATERNAL BEHAVIOR IN THE PROVISION OF FOOD FOR CHILDREN: SYSTEMATIC REVIEW
Authors: Wibowo Daniel Akbar , Dewi Yulia Lanti Retno , Hikmayani Nur Hafidha , Zen Dini Nurbaeti
Published: December 2024

Background: Nutritional problems among children, especially in developing countries, remain a significant concern. Stunting, underweight, and malnutrition are prevalent due to inadequate dietary intake and poor maternal education. Mobile learning (m-learning) applications have emerged as potential tools to enhance maternal knowledge and improve child nutrition. This study systematically reviews existing literature to assess the impact of m-learning applications on changing maternal behavior in the provision of food for children.Method: This systematic literature review follows the PRISMA guidelines. The review was conducted in August 2024, covering studies published from 2014 to 2024. Databases including Scopus, PubMed, and Crossref were searched using relevant keywords. A total of 348 articles were identified, with 30 meeting the inclusion criteria for final analysis. The selected studies were analyzed to evaluate the effectiveness of m-learning applications in altering maternal behavior related to food provision.Results: The review indicates that m-learning applications significantly enhance maternal knowledge and positively influence food provision behaviors. However, the effectiveness of these applications is influenced by factors such as socio-economic status, cultural context, and the usability of the application. Personalized feedback, community support, and interactive features within the applications are crucial for achieving behavior change.Conclusions: M-learning applications hold substantial potential for improving maternal behavior in food provision, thereby enhancing child nutrition. Future developments should focus on culturally relevant content, user-friendly interfaces, and integrating community support mechanisms to maximize the effectiveness of these interventions.
Are You Too Loyal to Your Organization? Exploring the Balance Between Commitment and Well-Being
Authors: Westover Jonathan
Published: December 2024

Abstract: This article explores the nuanced relationship between organizational loyalty and its potential downsides. While loyalty provides benefits like higher productivity and engagement, taken to an extreme it can undermine individual well-being and organizational effectiveness. The paper defines loyalty and its key drivers, then outlines challenges such as blind allegiance, lack of work-life balance, and susceptibility to manipulation. To cultivate healthy loyalty, the article recommends strategies like fostering a supportive culture, providing growth opportunities, recognizing contributions meaningfully, and promoting work-life integration. The outdoor apparel company Patagonia is highlighted as a model of sustainable loyalty practices. The article concludes that by balancing loyalty with employee autonomy and well-being, leaders can develop a committed, innovative workforce over the long term.
Stakeholders in Building Conflict Resolution Networks in Islamic Educational Institutions
Authors: Mansur Muhamad , Fitriani Iwan , Yusuf Yusuf
Published: December 2024

Background. The objective of this research is to discuss the concept and identification of stakeholders, emphasizing the need for a holistic understanding of the various parties involved in the educational process, such as principals, teachers, parents, the government, and the community. The involvement of stakeholders in building conflict resolution networks is a primary focus, considering the complexity of global challenges and educational dynamics.
Purpose. To discuss the concept and identification of stakeholders, emphasizing the need for a holistic understanding of the various parties involved in the educational process.
Method. The method used in this research is a literature review through stakeholder analysis, which identifies power, legitimacy, and urgency to help determine who or what is truly considered in decision-making.
Results. The first research result shows a variety of approaches and strategies for addressing conflicts, both in Islamic boarding schools (pesantren), Islamic educational institutions, and at the national level. There is an awareness of the role of Islam and religious values in conflict resolution, as well as the importance of pluralism and multicultural education. Leaders of Islamic educational institutions are considered to have a key role in conflict resolution.
Conclusion. Secondly, the stakeholders involved in the context of conflict resolution research in pesantren and Islamic educational institutions include various parties who have interests and roles in conflict resolution efforts and educational development.
Systematic Literature Review on The Use of Gamification Approaches in Mastering the Periodic Table of Elements (Chemistry)
Authors: Saleh Suzinursolahah binti , Ismail W Omar Ali Saifuddin Wan
Published: December 2024

Background: Gamification applications serve as tools for students to independently construct knowledge about lesson content, potentially surpassing achievements gained through conventional methods. The study of gamification is especially important for learning the Periodic Table of Elements, a fundamental topic in chemistry.
Purpose: This article aims to explore the application of gamification in learning the Periodic Table of Elements between 2019 and 2023.
Methods: A systematic literature review was conducted using online databases such as Scopus and Web of Science to gather relevant information on the subject. Keywords like "Periodic Table," "Teaching Approach," and "Gamification" were used to search for studies related to the topic. The review included literature from 14 countries: Pakistan, Indonesia, Japan, Spain, the United States, Macedonia, Israel, Morocco, Brazil, Portugal, Croatia, Mexico, and Malaysia.
Results: The review focused on identifying commonly used gamification methods and assessing the impact of gamification on motivation, academic achievement, and usability. The findings revealed that board games, digital cards, puzzles, and Virtual Labs were the main gamification approaches used. A comprehensive analysis of 18 literature review articles showed that motivation was the primary impact studied in mastering the periodic table using gamification.
Conclusions: This study has significant implications for Chemistry teachers, STEM researchers, and the Teacher Education Division in Malaysia’s Education Ministry. By understanding learners’ preferences, educators can tailor their instructional methods to better meet students’ specific needs.
EKSISTENSI NILAI KEARIFAN LOKAL DAN BUDAYA MASYARAKAT DESA CIPULUS DI ERA GLOBALISASI
Authors:   Universitas Islam Al-Ihya Kuningan, Sriyuliawati Fovi
Published: December 2024

Indonesia is one of the countries that has a diverse culture. Bhineka Tunggal Ika, which means different but still one. This motto is a description of the diversity that occurs. The existence of local culture in this era of globalization is one of the problems that must be resolved immediately. In this era of globalization, there are still several areas that still preserve and maintain intact the culture that is part of the traditional tradition. One of them is a village located in Cikijing District, Majalengka Regency, precisely in Cipulus Village. The village still preserves traditional culture. There are several traditions that are still carried out today, including Gusaran, Tilawat, and Pareresan. These three traditions have existed since ancient times. The solidarity of the community in the village is also felt to be very good. Not only adults who contribute to the implementation of the culture. Children and teenagers also contribute well. This incident is something rare, in an era of the onslaught of many western cultures that have entered and been well received in society, Cipulus Village still maintains the traditional culture that has become a habit every year.
Cesarean section rate assessment through Robson criteria in a tertiary care hospital
Authors: Shams Ghazala , Kamran Qudsia , Habib Sadia , Akhtar Rubina , Iqbal Madiha , Akhtar Naheed
Published: December 2024

Objectives: To find out the cesarean section rate after categorizing the patient according to Robson criteria in tertiary care hospital in view of increased cesarean section rate in past decade.
Methods: it was a retrospective observational study conducted in l Hayatabad medical complex Peshawar from 2016 till 2018.in this study all cases  admitted to the labour room during the period of three years were recorded and classified according to Robson’s  system. The main objective was to find out that which group has contributed most to the cesarean deliveries.
Results: The total number of deliveries over this period in the hospital was 3051 out of which cesarean sections were 766, which makes the rate of cesarean section 25%.Group 1and group 2 contributed almost 10 %, while group 7and 8 contributed 5%, and group 3 and group10 contributed 9% and 8% respectively. Highest contribution is made by group5 which is 22% followed by group 4 which is almost 18%. Least contributors were group 6 and 9, which is 4%.
Conclusion: according to this study group 5 contributed the highest number, which is the group of multiparous women with previous 1 uterine scar. It means that indication for the first ever caesarian section should be critically reviewed and must be discussed with senior experienced obstetrician to decrease the number of women in-group 5.Patient should be encouraged for vaginal delivery after caesarian section and indications for caesarian section should be audited regularly to decrease the number of overall caesarian sections.
Reconstruction of posterolateral heel defect with lateral calcaneal flap: An experience at Burns at plastic surgery center Peshawar
Authors: Hamayun Shinwari , Ullah Irfan , Bilal Muhammad , Shah Syed Asif
Published: December 2024

Coverage of soft tissue defect around ankle has always been a daunting job for a reconstructive surgeon. Numerous  flaps have been described for the Coverage of soft tissue defect around posterior heel and lateral calcaneum ranging from local arrangement of tissue to regional and distant flaps with variable results in terms of flap success and its durability to with stand pressure and shoe wear. In this context, we share our experience of lateral calcaneal artery flap for the coverage of such defects. This study was conducted at Burns and Plastic Surgery center, Hayatabad, Peshawar from July 2019 to June 2020. Ten patients with soft tissue defects, with or without visible calcaneus or Achilles tendon in posterior heel of various etiologies were treated with lateral calcaneal artery flap. This axial flap was designed as a transposition flap based on lateral calcaneal artery and donor site is covered with partial thickness skin graft. In nine patients flap survived completely however one flap has epidermal loss which heels completely with moist dressing subsequently. Two patients had partial loss of STSG at donor site which was managed conservatively with local application of topical steroidal ointment. Sensory loss was observed at lateral aspect of foot in all patients with minimal patient concerns. All patients used regular normal shoes after 6 weeks after surgery with no notable adversity.
EFFICACY OF CLOSED HAEMORRHOIDECTOMY IN THE TREATMENT OF THIRD DEGREE HAEMORRHOIDS
Authors: Shah Muhammad , Jan Yousaf , Fahad Shahzada , Hussain Shaukat , Shahzadi Shimee
Published: December 2024

Introduction: Haemorrhoids is a common surgical condition. According to some estimate it affectsone quarter of all adults. Surgical intervention is usually required in low-grade haemorrhoids refractoryto non-surgical treatmen and high-grade symptomatic haemorrhoids.Objective: To determine the efficacy of closed haemorrhoidectomy in the treatment of third degreehemorrhoids.Materials and methods: This case series study was conducted in surgical department HayatabadMedical Complex Peshawar from 10th march 2017 to 10 sep 2019 after obtaining approval fromHospital ethical and research commitee. A total of 263 patients were included in the study.Results: A total of 263 patients undergoing closed haemorrhoidectomy were included in the study.Average age was 37.15 years+9.81SD with range 20-60 years. The efficacy of closedhemorrhoidectomy in term of postoperative pain was observed in 193(73.38%).Conclusion: We concluded that closed haemorrhoidectomy in term of postoperative pain waseffective in patients with third degree hemorrhoids.
LATE TERM AND POSTTERM PREGNANCIES: STILL AN OBTETRICIAN’S DILEMMA
Authors: Qadir Maimoona , Tabassum Shazia , Khan Nabila , Jadoon Shah Muhammad Khan
Published: December 2024

Background: Late term and postterm pregnancies include those pregnancies which fails to deliver beyond 40 weeks of gestation,and are associated with significant maternal and fetal morbidity and mortality.
Objective: The present study aims at finding out the incidence,maternal and fetal outcome associated with late term and posterm pregnancies.
Methodology: This prospective cross sectional study was conducted at Gynaecology and Obstetric Department of Mardan Medical complex,Mardan from February 2017 to July 2017.All pregnant women of any age,parity or booking status who sure of dates of their last menstrual period and had their first trimester ultrasound done,and had crossed their expected date of delivery were included in the study.Patients were recruited from antenatal OPD and Labor room.Data was entered in a predesigned proforma and analyzed through SPSS 20.0.
Results: Incidence of  pregnancies beyond 40 weeks was found as 2.5%.The most prevalent age group was 20- 25 years,comprising 48(57%)patients.Forty eight(69%) women were primigravidas and 42(50%) had their period of gestation between 41 and 42 weeks.Induction of labor done in 51(60.75%),cesarean was done in 25(29.7%) whereas 8(9.5%) were in spontaneous labor.Most common indication for induction was oligohydramnios and gestational age more than 41 weeks in 23(45%) each whereas commonest indication was cesarean was fetal distress in 7(31%) and failed induction in 6(24%).birth asphyxia and meconium aspiration syndrome were commonest neonatal complications seen in 13(15%) for both.
Conclusion: Incidence of prolonged pregnancies can be reduced by creating awareness regarding regular antenatal visits,and importance of first trimester ultrasound and knowledge of last menstrual period dates.
FETAL COMPLICATIONS IN PREGNANT WOMEN WITH MULTIPLE PREGNANCY
Authors: Khattak Saima , Bilal Muhammad , Khan Yaseen
Published: December 2024

OBJECTIVE: To determine the fetal complications associated with multiple pregnancy in second and third trimester of pregnancy.
METHODOLOGY: This descriptive study was carried out in the obstetrics and Gynaecology department at Postgraduate Medical Institute Lady Reading Hospital Peshawar. Duration of the study was 1 year from January 2012 to December 2012. All patients with twin gestations, triplets and high order multiplets visiting obstetrics and Gynaecology unit of the institute and who were admitted in ward and their fetal with complications were included in the study.
Results: Sixty patients with multiple gestations were included in the study. In 28 patients (46.7%) cephalic/ cephalic was the most common presentation. Among the 126 total fetuses in this study, 64 fetuses (50.8%) had low birth weight. 51 fetuses (40.4%) were premature, overall fetal loss was 16 (12.6%), 37 fetuses  (29.3%) were admitted in nursery. 77 fetuses (61.1%) had apgar score of more than 7 at 5 minutes, while rest of the babies had Apgar score of less than that. Among fetal complications prematurity was recorded in 51 (40.4%) cases, admission in nursery in 37 (29.3%), IUGR in 20 (16.7%), still birth in 16 (12.6%), fetal distress in 2 (1.6%), congenital anomalies in 2 (1.6%) and demise of one fetal in 01 (0.7%) cases.
CONCLUSION: Multiple gestations are considered as pregnancies at high risk, which may be convoluted by prematurity, admission in nursery, low birth weight infants, intrauterine growth retardation, neonatal morbidity and mortality as showed in the results of our study
Aggressivity in Schizophrenia: The Risk and Confounders in a Romanian Setting
Authors: Bonea Maria , Kadar Iulia Larisa , Delcea Cristian , Horgoș Bianca Malina , Crisan Catalina Angela
Published: December 2024

There is an increased stigma in Romania regarding schizophrenia patients, who are thought to be violent and dangerous. However, there is little research on this topic that analyzes the exact risk of aggressive behavior, especially considering the high prevalence of alcohol and substance abuse, conditions also associated with a potential risk of violent behavior. The objectives of this study were to compare aggressivity levels between patients with schizophrenia admitted to an emergency hospital and healthy individuals and to find possible risk factors. This case-control study, matched for age and gender included 50 patients hospitalized for schizophrenia and 50 healthy participants from an emergency psychiatric facility in Romania. We collected demographic data and screened for major mental disorders using the Mini International Neuropsychiatric Interview (MINI). Aggressivity levels were measured with the Buss-Perry Aggression Questionnaire (BPAQ). The CAGE questionnaire and the Drug Abuse Screening Test (DAST-10) were used to screen for alcohol and substance use disorder. The results highlighted a 3.93 times increase in aggressivity in the schizophrenia group, with the involvement of specific violent domains. Younger men with alcohol abuse had a higher risk of violent acts. Schizophrenia patients appear to present an increased risk of violence, but this must be carefully assessed and confounders considered. Public health programs are needed to increase treatment compliance and decrease alcohol and other psychoactive substances consumption. 
Neural and Motor Differences in Acceleration and Running Speed of Children Aged 6 to 11 Years in the North-Eastern Part of Romania
Authors: Trofin Petrut Florin , Coteață Maria Andreea , Honceriu Cezar , Ciobîcă Alin Stelian , Mavroudis Ioannis , Puni Rares Alexandru
Published: December 2024

Acceleration and running speed develop in childhood based on biological growth. The research aims to compare, according to gender and age, the running times of 5, 10, and 15 m of children aged 6 to 11 years in the north-eastern area of Romania. Our proposed distance analysis is scarce in the literature and we want to enrich and update the existing data, especially for the north-eastern region of Romania. Our research included 3460 primary school students whom we grouped according to chronological age and gender. Using the TracTronix TF100, the 12 groups formed were measured for 5, 10, and 15 m running times during physical education classes. The first hypothesis states that boys will have higher acceleration and speed values. Second, we assume that growth from 6 to 11 years will improve acceleration and speed for both genders. The unpaired t-test and one-way ANOVA confirmed both hypotheses (p<0.05). Both criteria we tested influence acceleration and running speed. Boys achieved better times than girls in all three events, except for 5 m at 10 and 11. Advancing in age improves acceleration and speed, there is a stagnation from 10 to 11 years for both genders, as well as the 7-8 years threshold for boys. Our study reinforces the effect that gender and age have on children's acceleration and speed, and can be a benchmark for practitioners.