bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of “Klik KB” Application on Satisfaction Rate of Contraceptive Acceptors of Depo Medroxyprogesterone Acetate (DMPA)
Authors: Hindun Diana Silvia , Prastiwi Swito , Yudianti Ika
Published: January 2025

In 2022, Malang City experienced a significant number of contraceptive dropouts, particularly in Blimbing, where there were 545 and 457 cases reported. It has been observed that acceptors who are dissatisfied with the services tend to discontinue their use of contraception.
Objective: The purpose of the research was to determine the difference in satisfaction levels between Depo Medroxyprogesteron Acetate (DMPA) family planning acceptors using the Klik KB application and the family planning Decision Making Help Tool ABPK.
Study design: The study employed a quantitative experimental quota design utilizing a Pretest-Posttest Control Group Design approach to establish a causal and consequential relationship. There were two subjects namely the treatment group using the Klik KB application and the control group using Decision Making Help Tool ABPK
Place and Duration of Study: The research was conducted at two practical locations focused on enhancing midwife self-reliance in underserved urban areas. Data collection took place in March-April 2024.
Methodology: Measurement using KB acceptor satisfaction questionnaire. Samples with random sampling of 18 experimental group acceptors using Klik KB and 18 control group acceptors using ABPK.
Results: The study's findings pointed to this after using the application Klik KB and Family Planning Decision Making Tool (ABPK) obtained a significant p-value of 0,000 (<0,05) which means there is an influence of the use of the application click KB on the satisfaction rate of the family planning acceptor.
Scientific Novelty: This study introduces the use of the Klik KB application to increase the satisfaction of acceptors with Family Planning services.
Conclusion & Suggestion: The utilisation of the Klik KB application impacts the satisfaction levels of DMPA family planning acceptors. Consequently, contraceptive users are encouraged to leverage the Klik KB application to enhance the quality of Family Planning services.
Occurrence of Antimicrobial Resistant Enterobacteriaceae and Fungi in effluents from selected Abattoirs in Akoko Local Government, Ondo State
Authors: Osei Kofi Adusa , Oluyele Olumide , Adeboye Favour Oluwaseun
Published: January 2025

Aim: The aim of the study was to isolate and identify antimicrobial resistant bacteria and fungi from abattoir effluents in Akoko Local Government, Ondo State (AKLGO).
Methodology: Wastewater samples from selected abattoirs in AKLGO were collected and analysed using standard microbiological techniques. Bacteria and fungi from the samples were characterised using morphological attributes, microscopic features, and various biochemical tests. Antimicrobial susceptibility patterns of the isolates were profiled using the Kirby-Bauer's disc diffusion method and interpreted following CLSI guidelines.
Results: Notable bacteria isolated from the samples included Klebsiella pneumoniae, Escherichia coli, Serratia marcescens, Proteus mirabilis and Klebsiella aerogenes, while fungal species included: Candida parapsilosis, Saccharomyces cerevisiae, Candida tropicalis, Penicillium echinulatum fassatiova, and Aspergillus vitis novobranova. The microbial isolates demonstrated varying susceptibility patterns to the conventional antimicrobial agents employed in this study. Notably, all the bacterial isolates were resistant to Ampicillin, Nalidixic-acid and Ceporex, while Griseofulvin and Nystatin were the least efficacious agents against fungal isolates. The multiple antibiotics resistance index of the isolates was greater than 0.2, which represents a high-risk source of contamination.
Conclusion: The presence of pathogenic antimicrobial resistant organisms in these environments poses a significant health-threat to the populace, thus, these findings underscore the need for proper wastewater treatment and disposal measures at the abattoirs studied.
Value-Awareness Leadership: A Paradigm for Enhancing Ethical Practices in Teacher Education
Authors: Okanda Edward Ojuok
Published: January 2025

Leadership that shares values in educational institutions can be essential in the effective promotion of ethical values and practices. Nonetheless, the use of this leadership to enhance ethical practices in teacher education has not been thoroughly explored and needs additional study. The purpose of this research is to analyse how value-awareness leadership can enhance ethical practices in primary teacher colleges in Kenya by applying philosophical methods of phenomenology and analysis. In the context of phenomenology, interviews were conducted with 35 participants. Purposively chosen participants included 7 Principals, 7 Deputy Principals, 7 Deans of students, 7 top Student leaders; all from public teachers training colleges (TTCs), 4 regional Quality Assurance and Standards Officers (QASOs), and 3 regional Teachers Service Commission (TSC) officers. Semi-structured interview schedules were used to collect qualitative data, which was later analysed using thematic analysis. The findings revealed that value-awareness leadership fostered a value-based culture which augmented ethical behaviours in TTCs. The research also suggests a philosophical model of value-awareness leadership that entrenches ethical practices based on moral duty and moral goodness.
Droughts, Displacements, and Human Implications: A Southern Africa Perspective
Authors: Ndhlovu Emmanuel , Dube Kaitano
Published: January 2025

Natural hazards have existed since time immemorial worldwide. Rapid climate changes continue to exacerbate the recurrences of these natural hazards, thus generating enormous socio-economic and environmental challenges. Southern Africa is among the global regions most affected by natural hazards. Existing literature on natural hazards mainly focuses on floods, storms, and earthquakes, while hazards such as drought have not attracted the same level of attention. This has both policy and practical implications. This study closes this gap. The study uses a quantitative content analysis approach and draws from the quantitative data on drought and displacement in Africa collected by the Internal Displacement Monitoring Centre. It also uses standard rainfall indices (SPIs) to explore how rainfall deviations possibly impact internal displacement. The objective is to (i) explore the drought-displacement nexus in Southern Africa, (ii) investigate the implications of droughts and displacements, and (iii) propose policy and practical interventions. An analysis of the SPI index for four Southern African countries selected purposefully. The article shows that drought is the major natural hazard that displaces people in the selected countries. Such human displacement results in several challenges in source regions and receiving regions. In this regard, intervention measures to deal with droughts must adopt a holistic approach to address the resultant vulnerabilities and build future resilience. The study recommends adopting and implementing social policy-based interventions in dealing with the socio-economic impacts of drought displacement in Africa.
Increasing Human Resources Loyalty through Internal Marketing in Cell Phone Companies: Perspectives from Airtel Congo in the Republic of Congo
Authors: Moloumba Mokango Prince Valnis Kester , Oniangue Emerence Kouta , Abongo Itoua Joel Mahirishi , Nasse Theophile Bindeoue
Published: January 2025

Retaining human resources has become a prerequisite for HR professionals in competitive trench warfare. In light of this, the primary purpose of this study is to comprehend the critical role internal marketing plays in helping mobile phone companies in the Republic of Congo retain their human potential. We have decided to use qualitative methodology to accomplish this purpose. The researchers used a semi-structured interview guide and a sample of twenty field actors. The purposeful sampling technique was used to select the respondents in Brazzaville, the capital city of the Republic of Congo. This research confirms that human potential is retained through internal marketing through individual actions. Second, it shows that shared values form the foundation of internal marketing. Furthermore, it reveals that internal marketing uses calibration to foster loyalty. Ultimately, this research demonstrates that internal marketing manifests in the motivation to retain human resources. Marketing managers and industry players in the Democratic Republic of the Congo should consider the nation's organisational culture when making strategic decisions. This article's applicability stems from its capacity to address an exploratory study focused on calibration, an innovation in a Congolese telephone company. This answers questions for researchers and management in developing nations.
Mechanical and Thermal Properties of Banana Fiber Composites for Sustainable Applications
Authors: ÖZKAN Tutku
Published: January 2025

This mini-review highlights the advances in banana fiber-reinforced composites (BFRCs), emphasizing their mechanical, thermal, and hybrid properties. Natural fibers, particularly banana fibers, have emerged as sustainable alternatives to synthetic fibers because of their renewability, biodegradability, and cost effectiveness. The review explores the tensile, flexural, and impact properties of BFRCs, describing the influence of fiber treatments, hybridization strategies, and layering patterns on performance. In addition, it examines the thermal stability and conductivity enhancements achieved through nanofillers and hybrid reinforcements. Applications in the automotive, construction, and packaging industries underscore the industrial relevance of these materials. Challenges such as moisture sensitivity and fiber-matrix adhesion issues are discussed alongside future directions for improved composite development. This review comprehensively discusses the potential of BFRCs as eco-friendly materials for advanced applications.
Renewable Energy for Development: Assessing Impact of Solar Technology Transfer in Sitio Kiito, Barangay Can-ayan
Authors: Recente Joan Monteros , Barroso Carina Joane V. , Paulican Jiemalyn B. , Alboroto Richard , Casas Rolando Y.
Published: January 2025

This study evaluates the impact of an off-grid solar-powered electrical system project in Sitio Kiito, Barangay Can-ayan, Malaybalay City. The project has transformed the community, benefiting 10 out of 27 households and nearly 100 residents. Key changes include enhanced educational opportunities, economic growth, and improved living conditions, with social interactions and community cohesion increasing due to reliable lighting. The project also empowered residents by providing technical skills, fostering self-reliance and ownership of their energy resources. However, sustaining the project presents challenges, such as technical difficulties and financial constraints. Despite initial training, residents struggle with complex repairs, highlighting the need for ongoing technical support and a reliable supply of spare parts. Financial constraints also pose significant challenges, with the community’s limited resources impacting their ability to manage maintenance and repairs. The study underscores the importance of community engagement, continuous technical support, and financial planning in the long-term success of renewable energy projects. By addressing these challenges, future initiatives can promote sustainable development and provide clean energy solutions in rural areas. The findings offer valuable insights for policymakers and stakeholders aiming to advance renewable energy projects, contributing to enhanced sustainability and community development.
Impact of Capacity-Building Project on Socio-economic Well-being of Women in Higaonon Community
Authors: Zamayla Gela Mae C. , Catolpos Astred Jill A. , Gonzaga Gretchen , Caingcoy Manuel
Published: January 2025

Capacity-building projects are crucial for developing the skills of indigenous communities, fostering sustainable business growth, and empowering individuals. However, women in the Higaonon community had limited access to modern technologies and business management training. To address this gap, a project was implemented by the Non-Timber Forest Products-Exchange Programme (NTFP-EP), in collaboration with the Food Technology Department of Bukidnon State University. After several years of implementation, the project's impact on the community remained uncertain. To evaluate this impact, a convergent mixed-methods research study was conducted to assess the project's impact on the socioeconomic well-being of Higaonon women and the effectiveness of the trainings in enhancing their financial management and technology operation and maintenance skills. The study was grounded in the theory of change framework. Participants were members of a Higaonon women-led social enterprise. Descriptive analysis revealed that the trainings were highly effective in addressing the women's capacity-building needs. Thematic analysis yielded four relevant themes: empowerment and improved livelihoods, capacity building and skill development, challenges and opportunities, and community development and sustainability. A joint display analysis further confirmed that the trainings' effectiveness aligned with the capacity building and skill development theme. These enhanced skills empowered women, improved their livelihoods, and opened new opportunities to overcome challenges. The improved financial literacy, technical skills, and business management capabilities have the potential to contribute to the long-term sustainability and prosperity of the community. Future research could explore the scalability of this social impact to inform policy and practice in community-based enterprise development.
Outcomes from Participation in Automotive Servicing and Troubleshooting Training Program Among Lantapan Beneficiaries
Authors: Ronolo Jose Benito C , Cuadra Maria Efrelij J , Gonzaga Gretchen L , Aznar Nestor , Onahon Heromeo
Published: January 2025

The Basic Automotive Servicing and Troubleshooting Training Program, conducted by Bukidnon State University in collaboration with the local government of Lantapan, aimed to enhance the technical skills and employability of the local youth. This program, part of a broader initiative to promote sustainable development and poverty reduction, included three sessions between September and November 2023. Using a Theory of Change framework, the study evaluated the program's impact on participants' knowledge and skills. Pretest and post-test analyses revealed significant improvements in technical proficiency, as evidenced by the ANOVA results showing a notable increase in test scores from an average of 7 to 11.16. A qualitative method assisted in the analysis of the outcomes of the training. Participants demonstrated enhanced abilities in engine management system activities, with marked improvements in both pre-scanning and post-scanning processes. The training program not only provided practical automotive skills but also fostered personal and professional growth, preparing participants for future career opportunities. This study underscores the critical role of targeted vocational training programs in community development and capacity building.
Innovative Approaches to Education: Assessing the Outcomes of Radyo Eskwela in Delivering Alternative Learning in Bukidnon
Authors: Necosia Joanne Vivien B. , Oculares Genesis
Published: January 2025

This study evaluated the effectiveness of Radyo Eskwela. This pioneering program utilized radio broadcasts to provide accessible education to out-of-school youth and adults in marginalized and remote areas in Bukidnon, Philippines through a comprehensive mixed-methods approach. Quantitative data gathered from surveys conducted in June 2021 and July 2022 revealed high average ratings across crucial evaluation criteria, including practicality (4.66), relevance (4.63), content (4.62), quality (4.61), and stakeholder participation (4.5). These findings underscored the program’s success in meeting community needs and delivering impactful educational contents. Qualitative insights from open-ended interviews further highlighted Radyo Eskwela’s transformative impact, documenting enhanced knowledge acquisition, practical skill development, and improved participant well-being. The program’s methodology aligned with educational theories emphasizing active learning and real-world application, cultivating essential skills such as communication and critical thinking for personal and professional growth. Recommendations for program enhancement included expanding radio signal coverage, improving instructional materials for clarity and engagement, and integrating more interactive elements to sustain participant interest and optimize learning outcomes. Radyo Eskwela’s innovative use of radio broadcasts and strong community engagement addressed educational disparities and empowered learners, exemplifying effective strategies for promoting inclusive and lifelong learning opportunities in underserved communities.
Evaluating Public Feedback and Perceptions on the “Share to Heal” Program’s Efforts to Combat the Philippine “Infodemic”
Authors: Gaylo Derren N. , Tado Anna Wilda C. , Gillikin Brian
Published: January 2025

The study aimed to evaluate public feedback on the “Share to Heal” program, a social innovation initiative of Bukidnon State University, launched to combat the “infodemic” in the Philippines during the COVID-19 pandemic. With the proliferation of misinformation posing significant challenges to public health and safety, this program was designed to disseminate accurate information, foster awareness, and promote resiliency. Employing evaluation research, the researchers analyzed quantitative and qualitative data from the feedback of the radio listeners and Facebook live viewers. The findings with quantitative surveys and qualitative content analysis indicated a positive reception, highlighting the program’s effectiveness in enhancing public knowledge and countering misinformation. Episodes tackled health issues like vaccines, mental health concerns, economic and legal aspects of the pandemic, governance strategies, the cultural impact on food security, and the crucial skill of media literacy. All episodes received very high satisfaction ratings, with an average of very satisfied. The topics shared were highly accurate, timely, and extremely needed by radio listeners and Facebook live viewers. Key themes that emerged include the program’s role in ensuring reliable information dissemination, improving public trust, and fostering community engagement. Additionally, the feedback underscored the importance of adaptability and collaboration in crisis communication efforts. The study concludes that the “Share to Heal” program successfully addressed the critical need for accurate information during the pandemic, contributing to better public health outcomes and community resilience. Future recommendations include continuing and expanding such initiatives to fortify accurate communication infrastructure.
Right Aortic Arch in Pediatric: Experience of a Center
Authors: Baradaran Sirjani Behnaz , Hosseinzadeh Maleki Mahmud , Abbasi Mohammad , Mottaghi Moghaddam Shahri Ali , Mottaghi Moghaddam Shahri Hassan
Published: January 2025

Background: Congenital aortic arch anomalies encompass various malformations, which can range from asymptomatic to presenting with severe respiratory or gastrointestinal issues. These anomalies may occur alone or alongside other congenital heart defects. Imaging is crucial for identifying these conditions and guiding accurate preoperative decisions. Objectives: This study aimed to assess the frequency of these abnormalities in patients with a right aortic arch, explore the reasons for their referral, and evaluate patient outcomes. Methods: This cross-sectional study was conducted on children under the age of 20 who visited the Congenital Heart Diseases Clinic at Imam Reza Hospital, Iran. We collected data from 277 records of patients with right aortic arch from 2002 to 2022. Data were gathered using a checklist, including echocardiographic results, angiography findings, and other diagnostic modalities for the patients. Statistical analysis was performed using IBM SPSS software, Version 25. Results: In this study, 118 (29.8%) patients had heterotaxia, of which 106 (26.8%) had dextrocardia and were excluded [82 (20.7%) with situs inversus, 21 (5.3%) with situs solitus, and 15 (3.7%) with situs ambiguous]. Among the 277 patients with a right aortic arch, 7 (2.3%) had an aberrant left subclavian artery branch. There were 141 (50.9%) female patients. The trachea and esophagus were compressed. Respiratory symptoms were commonly present in patients with a compressive right arch and aberrant left subclavian artery (Kommerell’s diverticulum), which showed a significant relationship. Congenital major heart anomalies were found in 261 (94.2%) patients, with the most common being right obstructive lesions related to tetralogy of fallot (TOF), seen in 115 (41.5%) patients. Complex congenital heart disease was present in 75 (27.1%) patients. Septal defects were observed in 44 (15.9%) patients, including ventricular septal defect in 39 (14.0%). Nine (3.2%) patients had left obstructive lesions, including coarctation of the aorta. Arterial anomalies, such as patent ductus arteriosus, were present in 14 (5.0%) patients. Sixteen patients had normal heart structures or minor cardiac anomalies. The most common non-cardiac abnormality was musculoskeletal. Finally, 189 (68.2%) patients underwent surgery, and 16 (5.8%) died. Conclusions: More detailed examinations during patient visits, attention to clinical symptoms, and modern imaging can hasten the identification of cardiac abnormalities in children, which plays an important role in the diagnosis and prognosis of patients.
Evaluasi Pemahaman Masyarakat Dalam Penanganan Sampah Rumah Tangga Di Desa Bongkudai Kecamatan Modayag Barat Kabupaten Bolaang Mongondow Timur
Authors: Rokot Agus , Kawatu Yozua T , Pandean Marlin , Jusran Mokoginta , Kabuhung Anselmus
Published: January 2025

Masalah sampah rumah tangga meningkat terkait dengan kesejahteraan yang meningkat dengan signifikan sehingga daya konsumsi makin bertambah dengan berbagai macam variasi makanan dan kebutuhan yang sangat konsumtif Masyarakat kota maupun pedesaan sehingga perlu diimbangi dengan dukungan sarana dan prasarana penunjang. Hasil survey dan evaluasi di masyarakat menunjukkan bahwa Masyarakat penyuluhan dari pihak yang berwenang yaitu pemerintah pada bagian penanganan sampah yang berada di wilayah kerja desa Bongkudai kecamatan Modayag  Kabupaten Bolaang Mongondow Timur  Provinsi Sulawesi Utara
Jenis penelitian ini merupakan kualitatif dengan proses berdasarkan persepsi dari satu fenomena dengan Langkah evaluasi pada Masyarakat dan petugas penyuluhan lewat penyuluhan atau pemberitaan lainya dari pemerintah terkait pengelolaan sampah rumah tangga. Populasi yaitu seluruh Masyarakat yang tinggal di Bongkudai dengan populasi 526 KK yang disurvei 283 KK dengan Sampel cuplikan sebanyak 144 responden dengan pengambilan data lewat kuesioner pertanyaan yang dikerjakan atau dijawab tanpa tekanan dari siapapun
Hasil penelitian membuktikan bahwa Masyarakat yang ada di desa Bongkudai kecamatan Modayag Kabupaten Bolaang Mongondow Timur dalam proses pengelolaan sampah yang dihasilkan dalam kegiatan rumah tangga belum banyak mendalami bahwa sampah merupakan sarana untuk penyebaran penyakit, kurang menerima/ mendengar penyuluhan tentang sampah sehingga belum maksimal dalam menangani sampah rumah tangga.
Perbandingan Daya Dukung Fondasi Tiang Pancang Berdasarkan Uji Kalendering Dengan Uji Pda Pada Pembangunan Jembatan Meninting
Authors: Suparjo Suparjo , Hoesain M Ismail , Azhar Pande Setiawan
Published: January 2025

Jembatan Meninting adalah jembatan yang berada di Kota Mataram, Nusa Tenggara Barat yang mengalami kerusakan akibat banjir sehingga dilakukan penggantian. Pada penggantian Jembatan Meninting digunakan fondasi tiang pancang, dalam membangun fondasi tiang pancang dibutuhkan perhitungan daya dukung fondasi. Daya dukung fondasi dapat dihitung dari uji beban dinamis di lapangan seperti uji kalendering dan uji PDA (Pile Driving Analyzer). Tujuan penelitian ini adalah memperoleh perbandingan daya dukung fondasi tiang pancang berdasarkan uji kalendering dengan uji PDA. Hitungan daya dukung fondasi tiang pancang berdasarkan uji kalendering menggunakan metode Hiley, Gates, dan ENR. Analisis dan interpretasi berdasarkan uji PDA menggunakan metode Case dan CAPWAP. Hasil perhitungan berdasarkan uji kalendering menunjukkan bahwa daya dukung izin (Qa) terkecil menggunakan metode Hiley sebesar 1547,460 kN, Gates sebesar 1669,483 kN, dan ENR sebesar 2369,548 kN lebih besar daripada daya dukung izin (Qa) rencana sebesar 1374,584 kN. Hasil analisis dan interpretasi berdasarkan uji PDA menunjukkan bahwa daya dukung izin (Qa) yang diperoleh menggunakan metode Case dan CAPWAP sebesar 2404,444 kN lebih besar daripada daya dukung izin (Qa) rencana sebesar 1374,584 kN. Perbandingan hasil daya dukung fondasi tiang pancang berdasarkan uji kalendering dengan uji PDA menunjukkan bahwa nilai rata-rata daya dukung izin (Qa) fondasi tiang pancang berdasarkan uji kalendering menggunakan metode Hiley sebesar 2311,555 kN lebih mendekati hasil daya dukung izin (Qa) fondasi tiang pancang berdasarkan uji PDA sebesar 2404,444 kN dengan selisih perbandingan sebesar 3,86%. Uji PDA memberikan hasil daya dukung yang lebih besar daripada uji kalendering, Hal tersebut dikarenakan perbedaan proses pelaksanaan serta faktor aman yang digunakan.
Machine learning approaches for predicting species interactions in dynamic ecosystems
Authors: B. Kalpana  , P. Krishnamoorthy  , S. Kanageswari  , Anitha J. Albert
Published: January 2025

This paper explores the application of machine learning (ML) techniques in predicting species interactions within dynamic ecosystems. Using a multi-faceted approach, we investigate the effectiveness of various ML algorithms in analyzing species interaction strengths through an example dataset. Visualizations, including bar, line, and pie charts, depict the distribution and patterns of species interactions, providing valuable insights into ecological dynamics. Additionally, a comparative analysis examines the data requirements and characteristics of four ML approaches: Generalized Linear Models (GLM), Classification and Regression Trees (CART), Artificial Neural Networks (ANN), and Evolutionary Algorithms (EA). By synthesizing information from previous studies, we elucidate the strengths and limitations of each ML approach in predicting species interactions. Furthermore, a performance evaluation of these approaches highlights their predictive capabilities across various metrics, including accuracy, precision, recall, and F1 score. Our research methodology provides a comprehensive understanding of the application of ML techniques in ecological research, laying the groundwork for future studies aiming to predict species interactions and advance our understanding of dynamic ecosystems.
An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals
Authors: Divya R.  , Vanathi P. T.  , Harikumar R.
Published: January 2025

As per a latest study, coronary artery disease and hemorrhagic stroke are the predominant factors contributing to over 80% of cardiovascular diseases (CVDs). To reduce the mortality rate due to CVDs, researches are proposing the techniques for early detection of these CVDs. For the preliminary investigation on cardiovascular disease Photoplethysmography (PPG) can be used. Using PPG signals, it is possible to infer the risk levels like CVD with low risk, CVD with medium risk and respiratory disorder. To classify the risk levels of CVD, a model incorporating Gaussian mixture model (GMM) classifier with min-max decision model has been implemented. The proposed model resulted in better performance than existing classifiers like Logistic regression-GMM (LR-GMM), Detrend fluctuation analysis (DFA) and Cuckoo search algorithm (CSA) using min-max model. Based on the results GMM reflects a peak 95.9% classification accuracy with minimal false alarm of 7.1% and 0.99% miss classification when compared to other post classifiers.
The intersection of cervical cancer treatment and physiotherapy: Current insights and future directions
Authors: Kulkarni Chaitanya A. , Wadhokar Sayali , Wadhokar Om C. , Joshi Medhavi , Palekar Tushar
Published: January 2025

Cervical cancer remains a significant global health challenge, impacting millions of women annually. While advancements in screening, vaccination, and treatment have improved survival rates, the journey to recovery often entails considerable physical and psychological challenges. Physiotherapy plays a pivotal role in addressing these challenges, offering tailored interventions to enhance functional recovery, alleviate symptoms, and improve overall quality of life for cervical cancer patients. This review article explores the integration of physiotherapy into the comprehensive care of cervical cancer patients, highlighting evidence-based practices and innovative approaches. Key areas of focus include pain management, pelvic floor rehabilitation, lymphedema treatment, and strategies to combat fatigue and deconditioning. The review also examines the role of physiotherapy in mitigating treatment-related side effects, such as radiation-induced fibrosis and surgical complications. Through a multidisciplinary approach, incorporating physiotherapy can facilitate better outcomes, reduce healthcare costs, and support long-term survivorship. By synthesizing current research and clinical practice guidelines, this article aims to provide a comprehensive understanding of the benefits and applications of physiotherapy in the management of cervical cancer, advocating for its inclusion as a standard component of cancer care pathways.
A scoping review of influence of lifestyle factors on menstrual disorders in menstruating women
Authors: Kulkarni Chaitanya A. , Joshi Reema , Katariya Isha , Palekar Tushar
Published: January 2025

Menstruation is a natural occurrence for every female, starting from adolescence to menopausal age. Menstrual irregularities can eventually have an impact on one's physical and mental health, which lowers women's quality of life. The objective of this study was to explore the different lifestyle factors affecting menstrual disorders. Therefore, this scoping review aims to provide a comprehensive overview of the current state of menstrual disorders and lifestyle factors like physical activity, diet, sleep, water intake, nutrition, addictions, caffeine intake, stress affecting menses, and the importance of lifestyle modification. An extensive search was conducted using PubMed, MEDLINE, Scopus, Science Direct, and Google Scholar keywords. Conclusion: Menstrual disorders were significantly associated with an increase in BMI, a sedentary lifestyle, exposure to passive smoking, excessive coffee drinking, perceived stress and frequent consumption of fast food, non-vegetarian food, less water intake, inadequate sleep, physical inactivity, and diet. Healthy dietary habits, physical activity, and various other modifications to one's lifestyle can significantly lower the risk of menstruation disorders and reduce the severity of more serious health issues.
Neuroprotective activity of alcoholic extract of Operculina turpethum roots in aluminum chloride-induced Alzheimer’s disease in rats
Authors: Gangadhar Karthik , Kumar N Prem
Published: January 2025

Alzheimer’s disease (AD) involves complex pathways leading to neuronal damage. Neurotoxicity, resulting from exposure to harmful agents such as chemotherapeutic drugs, heavy metals, dietary additives, illicit substances, and radiation, contributes to conditions like AD. This study explored the neuroprotective potential of an ethanolic extract of Operculina turpethum (EEOT) roots in rats subjected to AD induced by aluminum chloride. Wistar rats weighing between 230 to 250 g were used to investigate neuroprotective effects. Disease induction was achieved through AlCl3 treatment, while therapeutic intervention was provided with EEOT root at low and high doses. The extract was administered orally once daily, mirroring the dosing schedule of the conventional AD medication, rivastigmine. Neuroprotective outcomes were evaluated through multiple parameters, including antioxidant enzyme levels (Catalase, SOD, LPO), total brain protein content, acetylcholinesterase activity, and behavioral assessments of motor learning, spatial learning, exploratory behavior, and cognitive function. The results demonstrated that EEOT root enhanced muscle strength (rotarod test) and improved learning ability (Morri’s water maze test). Additionally, the EEOT root reduced anxiolytic-like exploration in the Hole board test. The results suggest that EEOT roots may help protect neurons, possibly mitigating the damage caused by aluminum chloride by lowering oxidative stress. This protective effect is likely linked to the preservation of normal acetylcholinesterase activity, which helps maintain cholinergic function. According to this study, EEOT roots may have applications as neuroprotective agents.
EMSMOTE: Ensemble multiclass synthetic minority oversampling technique to improve accuracy of multilingual sentiment analysis on imbalance data
Authors: Ayesha Shakith  , L. Arockiam
Published: January 2025

Natural language processing (NLP) tasks, such as multilingual sentiment analysis, are inherently challenging, especially when dealing with unbalanced data. A dataset is considered imbalanced when one class significantly dominates the others, creating an unbalanced distribution. In many domains, the minority class holds crucial information, presenting unique challenges. This research addresses these challenges using an ensemble-based oversampling technique, EMSMOTE (Ensemble Multiclass Synthetic Minority Oversampling Technique). By leveraging SMOTE, EMSMOTE generates multiple synthetic datasets to train various classifiers. The proposed model, when combined with an ensemble random forest classifier, attained an impressive accuracy of 90.73%. This ensemble approach not only mitigates the effects of noisy synthetic samples introduced by SMOTE but also showcases significant enhancement in the overall performance in tackling class imbalances.
Ensemble of CatBoost and neural networks with hybrid feature selection for enhanced heart disease prediction
Authors: Olivia C. Gold  , Jayasimman Lawrence
Published: January 2025

Heart disease remains one of the leading causes of mortality globally, necessitating accurate and efficient prediction models. This paper presents a novel ensemble model combining CatBoost and neural networks (ECNN) to improve heart disease prediction accuracy. The proposed methodology incorporates two key innovations: the sequential SHAP and RFE hybrid optimization (SSHO) technique for feature selection and the dynamic gradient-sharing mechanism (DGSM) to facilitate efficient interaction between CatBoost and neural networks. SSHO dynamically selects relevant features based on SHAP values, while DGSM shares gradient information to optimize learning. The ECNN model was trained using the personal key indicators of heart disease dataset, addressing class imbalance with SMOTE. The experimental results demonstrate the model’s superior performance with an accuracy of 91%, precision of 94%, and F1-score of 92%. These findings surpass previous studies’ results and highlight the ECNN model’s novelty in improving prediction accuracy and interpretability. The integration of SSHO and DGSM offers a scalable approach to heart disease prediction, making it a valuable contribution to clinical decision support systems.
ESPoW: Efficient and secured proof of ownership method to enable authentic deduplicated data access in public cloud storage
Authors: K Sabeerath , Manikandasaran S. Sundaram
Published: January 2025

The exponential growth of data in cloud environments necessitates efficient storage management solutions. Data deduplication, a technique that eliminates redundant data, has emerged as a key strategy to optimize storage utilization and reduce costs. However, deduplication introduces security challenges, particularly in verifying data ownership and protecting against unauthorized access. This paper presents efficient and secured proof of ownership (ESPoW), a novel proof-verifier technique designed to authenticate data ownership in deduplicated cloud storage environments. ESPoW utilizes a challenge-response mechanism and a unique secret value for each data file to ensure that only legitimate users can access their data, even in the presence of encrypted storage. Through rigorous experimentation and performance analysis, ESPoW demonstrates superior computational efficiency and enhanced security compared to existing methods. This approach provides a robust framework for secure and efficient deduplication in cloud storage, safeguarding sensitive data while optimizing storage resources.
Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets
Authors: Hemamalini V.  , Victoria Priscilla C
Published: January 2025

The challenge of effective and precise steganalysis is crucial in the field of digital steganography. Steganalysis is a constantly evolving field of study that looks for hidden data in digital media. With the recent developments in communication and information technology, as well as information law compliance, image Steganalysis has drawn a lot of attention. The methods for steganography that are now available make it harder to identify steganographic material. This study presents a comprehensive investigation of the DDS_SE-Net architecture based on convolution neural networks employing various datasets in steganalysis using key performance measures, including accuracy, recall, precision, and F1-score. Additionally, this study looks at how rate of change of dilation in DDS_SE-Net contributes to the improved outcomes. In this work dilation rate of 3 gave comparatively better accuracy of 92.9% against WOW, 89.2 and 89.8% against S-UNIWARD and HILL, respectively. The results show that the deep learning framework selected and the data used in training have a major impact on how well the model performs steganalysis.
Exploring the role of digital humanities in the centralization of knowledge production: Clusters, networks, or echo chambers
Authors: Syeda Nida , Babu Kishore Selva
Published: January 2025

The study provides a comprehensive bibliometric analysis of centralization in knowledge production over the past two decades, utilizing visualization of similarities (VOS) viewer software for visualizing similarities and mapping research trends. The analysis focuses on identifying publication trends, highly cited papers and journals, influential countries and authors, common themes, and methodological approaches in the field of knowledge production centralization in digital humanities. The study reveals a notable increase in publications over the years, reflecting a growing concern with how intellectual power and influence are concentrated within academic communities. Key themes identified include the formation of research clusters, the impact of echo chambers, and the centralization of research output and citations in specific regions and institutions. The study highlights the dominance of certain topics, such as social media, misinformation, and network dynamics, and emphasizes the significant role of influential authors and institutions in shaping the discourse. Geographic analysis shows substantial contributions from countries like the United States, the United Kingdom, and Italy, indicating a centralization of academic influence in these regions. The methodological trend leans towards quantitative bibliometric analysis, with extensive use of citation and co-authorship networks to uncover underlying structures in the academic landscape. The findings underscore the importance of understanding centralization dynamics in fostering innovation and collaboration while also addressing the potential risks of intellectual monopolies and reduced diversity in academic perspectives. The study provides valuable insights for researchers, practitioners, and policymakers aiming to promote a more balanced and inclusive academic environment.
Financial devolution in a multilevel system: An evaluation of the working of state finance commissions in India
Authors: Gupta Mayuri , Khaire Deesha
Published: January 2025

The significance of the efforts by local governments in achieving Sustainable Development Goals (SDGs) is paramount. However, local governments in India face several obstacles in achieving the SDGs, bottlenecks in the free flow of funds being one of them. The 73rd and 74th Constitutional Amendments, which constitutionalized rural and urban local governments in 1993, also mandated the periodic constitution of the State Finance Commission (SFC) as a constitutional body in India. The design of the SFCs aimed to replicate the Union Finance Commission (UFC) at the provincial level, promoting democratic decentralization from states to local bodies. These amendments introduced Articles 243I and 243Y, which mandated periodic institutions of SFCs to supervise the transfer of funds to local governments. By now, all states should have progressed to their seventh-generation SFCs. Several challenges, such as delay in the constitution of SFCs, non-synchronization of SFCs with UFC period, and delay in the submission of reports, have impeded the functioning of the SFCs as well as the UFCs. The 15th UFC has recommended using the SFC reports as a precondition for releasing grants to local bodies after March 2024. Even though the 16th UFC has already been constituted, only nine states have managed to submit the report of their 6th SFCs. Against this backdrop, this paper delves into the institution of SFCs in India, exploring their significance, analyzing the challenges they face, and proposing potential solutions.
Mapping electric vehicle adoption paradigms: A thematic evolution post sustainable development goals implementation
Authors: Rani Priya , Sonia  , Garima Dalal  , Pooja Vyas  , Pooja
Published: January 2025

This study assesses the worldwide research trajectories of the Scopus-indexed literature on electric vehicle adoption spanning three decades. Employing the five-phase framework proposed by Zupic and Carter (2015) and utilizing the Vosviewer and Biblioshiny software, the research analyses the intellectual and social networks within the literature. The analysis of international collaboration reveals a strong regionalization in the domain, evidencing the limited collaboration between developed and developing countries. The thematic map illustrates the emerging focus on the key themes, including battery charging, environmental concerns, and transportation infrastructure in the realm of electric vehicles. Co-citation analysis further illuminated four clusters, shedding light on the prominence of monetary incentives, consumer behavioral factors and the necessity of charging infrastructure for speedy electric vehicle uptake. The study exhibits novelty by illustrating theme-based cluster analysis, distinguishing trends before and after the introduction of UN sustainable development goals. The study provides a roadmap for future researchers by identifying the prominent, emerging and niche themes, especially post-2015, which can be explored in greater depth. The findings of the study offer valuable insights for the policymakers and marketers aiming to accelerate the electric vehicle uptake by revealing the crucial role of monetary incentives and charging infrastructure.
Sociolinguistics competence development in the ESL classroom: Challenges and opportunities
Authors: Anilkumar K. Varsat
Published: January 2025

The difficulties and possibilities related to the growth of sociolinguistic competency in English as a Second Language (ESL) classrooms are examined in this abstract. The capacity to use language effectively in a variety of social circumstances while accounting for variables including situational appropriateness, cultural norms, and social standing is known as sociolinguistics competency. While ESL education traditionally focuses on linguistic proficiency, sociolinguistics competence plays a crucial role in achieving effective communication in diverse sociocultural settings (Gass & Selinker, 2008). The challenges in developing sociolinguistics competence within ESL classrooms stem from diverse linguistic backgrounds, cultural differences, and varying levels of exposure to English outside the classroom. Additionally, educators often lack appropriate pedagogical strategies and resources to address sociolinguistics aspects effectively. Moreover, societal attitudes and biases towards non-native English speakers may contribute to feelings of linguistic insecurity among ESL learners, hindering their sociolinguistics development (Norton, 2013). However, ESL classrooms also present significant opportunities for enhancing sociolinguistics competence. By creating a supportive and inclusive learning environment, educators can encourage learners to explore different language varieties and cultural practices. Integrating authentic materials, such as multimedia resources and real-life communication scenarios, can provide learners with exposure to diverse sociolinguistics contexts. Furthermore, fostering collaboration and interaction among students from various linguistic backgrounds can promote mutual understanding and appreciation of sociolinguistic diversity. This abstract advocates for a holistic approach to ESL education that recognizes the importance of sociolinguistics competence alongside linguistic proficiency. By addressing the challenges and leveraging the opportunities within ESL classrooms, educators can empower learners to navigate complex sociocultural environments with confidence and effectiveness.
Viksit Bharat @2047: A vision for India’s sustainable development
Authors: Ishwar Dan
Published: January 2025

Viksit Bharat@2047: A Vision for India’s sustainable development represents a transformative roadmap for India’s growth and development by the centenary of its independence. This ambitious vision aims to build a nation that is economically robust, socially inclusive, and environmentally sustainable. Anchored in the values of progress and equity, Viksit Bharat@2047 seeks to integrate social welfare, environmental stewardship, and economic prosperity to address the challenges and opportunities of a rapidly changing world.Key pillars of this vision include advancing technological innovation, fostering entrepreneurship, and promoting skill development to support a knowledge-based economy. Emphasis on renewable energy, eco-friendly practices, and climate resilience reflects a commitment to sustainable practices that protect natural resources and biodiversity for future generations. Moreover, it advocates for good governance and transparency to ensure accountable and responsive institutions, alongside a focus on international cooperation to address global challenges collaboratively.Viksit Bharat@2047 also underscores the importance of inclusivity, with targeted initiatives to uplift marginalized communities, empower youth, and reduce inequalities across regions and sectors. Through collaborative efforts across government, private sector, and civil society, this vision strives to position India as a global leader in sustainable and equitable growth. Viksit Bharat@2047 is not only a pathway to development but also a testament to India’s dedication to creating a prosperous, inclusive, and resilient future for all its citizens.