Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning by Suranjana V. Mayani, Hessan Mohammad, Soumya V. Menon, Rishabh Thakur, Abdulqader Faris Abdulqader, S. Supriya, Prabhat Kumar Sahu, Kamal Kant Joshi

“…Hyper-parameter optimization was conducted using Successive Halving, a method aimed at efficiently allocating computational resources to optimize model performance. …”
Get full text

EVALUATION OF HEALTH BENEFITS OF THE USE OF INNOVATIVE SELF-EXPANDING LASER-CUT STENT TECHNOLOGY by A. Tsvetkova, E. Georgieva, A. Zlatareva, S. Mihaylova, K. Varlyakov, P. Teneva

“…Based on findings from multiple independent studies, treatment with the DED stent represents a reasonable, safe, and effective alternative. CONCLUSION: The data from various studies support endovascular techniques as a safe and effective therapeutic method for treating cerebral aneurysms, even in the acute phase. …”
Get full text

Methodological review of model-based cost-effectiveness analyses of school-based interventions to increase pupils’ level of physical activity by Dominika Batorova, Jan Sorensen

“…Due to difficulties of obtaining observational data on the long-term effect and cost consequences, modelling techniques offer opportunities to consider the long-term health and economic consequences. …”
Get full text

Comparison of selected kinematic variables front- and rear- weighted track start of elite male swimmers by Mohamad-fazel Sabaghi, Masoud Mirmoezzi, Parasto Mohamadian

“…Used a top speed of 100 fps video camera to detect body position and biomechanical parameters during the performance two start techniques.the statistical methods were Kolmogorov-smirnov test to chek for normal distribution of data and T-test for comparison between two types of kinematic quantities start with 0.05 alpha levels. …”
Get full text

Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptiv... by S. Venkatesh, S. Gopal, K. Kannan

“…Since digital PD acquisition systems record data for a substantial period, the database becomes large, posing considerable difficulties during classification. …”
Get full text

Metembing traditional games: an ethnographic study of its practice and preservation by Ni Wayan Pujasari, Made Agus Wijaya, Ni Luh Putu Spyanawati

“…Methods: This study uses a qualitative method with an ethnographic approach. Data collection techniques use observation, interview, and documentation techniques. …”
Get full text

An intelligent adaptive neuro-fuzzy based control for multiport DC-AC converter with differential power processing converter for hybrid renewable power generation systems by S. Shanmugam, A. Sharmila

“…Under various operational situations, key performance measures like response time, stability, and system efficiency are examined. As evidenced by the data, system performance has significantly improved as compared to traditional control techniques. …”
Get full text

Article RETRACTED due to manipulation by the authors Exploration of branches of physics for handling several cases in sports applications: A systematic literature review by Ahmad Chaeroni, Nurhasan Nurhasan, Muchamad Arif Al Ardha, Lutfi Nur, Nuridin Widya Pranoto, Karuppasamy Govindasamy, Mohammad Khishe, Mottakin Ahmed, Kamal Talib

“…A systematic literature review (SLR) was conducted to identify relevant empirical studies highlighting the role of physics in sports. Data were analyzed from Scopus database sources with criteria as specified in the SLR study and with the PRISMA method. …”
Get full text

Effect of Jarimatika Method Using Papet Media on Learning Outcomes of 4th Grade Elementary School Students Multiplication by Alfina Shofiyana Damayanti, Erna Zumrotun, Wulan Sutriyani

“…The research population was grade 4 students, and the sample was 19 grade 4 students. Data collection techniques included observation, tests, and documentation techniques. …”
Get full text

MiR-425-5p intervenes in autoimmune myocarditis by regulating Treg cell differentiation through NRAS by Shan Zhou, Li Zhang, Xiuyun Duan, Keyu Liu, You Yingnan, Mengjie Ma, Bo Han

“…AimOur Previous research revealed significant differences in exosome-mediated intercellular miR-425a-5p between normal children and those with fulminant myocarditis. …”
Get full text

Analysis of the intellectual structure of knowledge regarding drought vulnerability assessment by Zeinab Asadpourian, Yaser Mohammadi

“…Materials and methods: To create a scientific map of this domain, a total of 1,131 articles from the Scopus database, published from 1990 to 2023, were collected. Scientometric techniques, such as co-authorship networks and co-occurrence networks of keywords, were employed for data analysis. …”
Get full text

Model Strategis Internalisasi Nilai dan Ajaran Agama pada Peserta Didik di Lingkungan Madrasah by Binti Nasukah, Rita Anina Fidayanti

“…The method used is qualitative with a case study approach. Primary data collection used interview techniques with madrasa heads, teachers & students; and observation techniques in the school environment and various religious activities carried out. …”
Get full text

An automated hybrid deep learning framework for paddy leaf disease identification and classification by Chatla Subbarayudu, Mohan Kubendiran

“…Performance investigations prove that the technique efficiently yields a higher accuracy of 98.52%, outperforming state-of-the-art techniques.…”
Get full text

Machine learning-based inertia estimation in power systems: a review of methods and challenges by Santosh Diggikar, Arunkumar Patil, Siddhant Satyapal Katkar, Kunal Samad

“…Advanced methodologies, such as hybrid and ensemble models, are examined for their effectiveness in overcoming challenges posed by noisy data, dynamic behaviors, and complex grid configurations. …”
Get full text

Integrating Traditional Ecological Knowledge and Frost Management Strategies for Sustainable Tree Planting in Legambo District, Ethiopia by Mesfin Boja, Bethelhem Solomon

“…Using a multistage sampling method, data were gathered from 42 households through interviews, questionnaires, and observations. …”
Get full text

Ways of Engaging First-Year Students in Discussions Through Small Group Work by Olha Bilyk, Iryna Malyshivska, Nataliia Pyliachyk

“…The article deals with the techniques of how to involve university first-year students in speaking using the activities for small groups. …”
Get full text

Comparison of the effectiveness of different ırrigation activation methods on biofilm removal in lateral canals – an ın vitro study by Uğur Aydın, Bilal Turan, Emre Çulha, Muazzez Naz Baştürk Özer, Melih Özdemir

“… Objectives: Activation of sodium hypochlorite (NaOCl) to remove biofilm from lateral canal is important for the success of endodontic treatment. This study aimed to compare the biofilm dissolving capacity of different irrigation techniques in resin blocks with two lateral canals manufactured with 3D printers.  …”
Get full text

Retelling strategies for comprehending and interpreting short stories by Santha Mary Louis, Kulwindr Kaur Gurdial Singh

“…A pre-test, post-test, pretest questionnaire and a post-test questionnaire were used for data collection. The pre-test questionnaire asked about their profile, exposure to English language and their difficulties in comprehending and interpreting a short story The post-test questionnaire aimed to find out if the retelling strategies taught to them had helped them answer the post-test questions. …”
Get full text

THE EFFECT OF ROLE PLAY METHOD ON ADOLESCENTS’ KNOWLEDGE ABOUT BULYYING PREVENTION by Moch. Hakim Setya Negara, Dadang Kusbiantoro, Inta Susanti

“…The population was 471 patients, with a sample of 114 with a simple random sampling technique. Data analysis used the Wilcoxon test. Results: The results of this study obtained 114 respondents for increasing bullying knowledge prevention with the final result being an increase of 94.7% in the good category, 5.3% in the sufficient category, and 0% in the less category. …”
Get full text

Ensemble based high performance deep learning models for fake news detection by Mohammed E.Almandouh, Mohammed F. Alrahmawy, Mohamed Eisa, Mohamed Elhoseny, A. S. Tolba

“…However, the increase in the use of these platforms presents severe risks for potentially misleading people. Our research aims to investigate different techniques within machine learning, deep learning, and ensemble learning frameworks in Arabic fake news detection. …”
Get full text