Landslide Susceptibility Level Mapping in Kozhikode, Kerala, Using Machine Learning-Based Random Forest, Remote Sensing, and GIS Techniques by Pradeep Kumar Badapalli, Anusha Boya Nakkala, Raghu Babu Kottala, Sakram Gugulothu, Fahdah Falah Ben Hasher, Varun Narayan Mishra, Mohamed Zhran

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Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil by Xiang Chen, Paula Moraga

“…Accurate forecasting of dengue outbreaks is crucial for effective public health planning and intervention. This study aims to assess the predictive performance and computational efficiency of a number of statistical models and machine learning techniques for dengue forecasting, both with and without the inclusion of climate factors, to inform the design of dengue surveillance systems. …”
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Evaluation of the efficacy of P11-4 and CCP-ACPF in the prevention and treatment of white spot lesions: a multi-technique approach by Hikmetnur Danisman, Ebru Delikan, Kaan Orhan

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Experiences of the attention training technique delivered in groups as treatment for anxiety and depression in patients with coronary heart disease: a qualitative study by Kristoffer Tunheim, Costas Papageorgiou, Hanne C. Lie, John Munkhaugen, Toril Dammen

“…We are not aware of any previous qualitative studies conducted on ATT in patients with CHD. Our study aimed to assess the treatment experiences in these patients. …”
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The First Experience of Aortic Valve Repeated Replacement Using the “Valve in Valve” Technique in a Patient With Dysfunction of a Biological Prosthesis by V. V. Vladimirov, L. S. Kokov, A. I. Kovalyov, S. S. Niyazov, M. V. Parkhomenko, A. V. Redkoborody, N. V. Rubtsov, N. M. Bikbova, R. Sh. Muslimov

“…The use of transcatheter aortic valve implantation (TAVI) “valve in valve” for reoperations in older patients is of great interest, since in recent years the procedure has been widely used in clinical practice and shows promising data in patients with high surgical risk.Aim of study. …”
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A multi-level classification model for corrosion defects in oil and gas pipelines using meta-learner ensemble (MLE) techniques by Adamu Abubakar Sani, Mohamed Mubarak Abdul Wahab, Nasir Shafiq, Kamaludden Usman Danyaro, Nasir Khan, Adamu Tafida, Arsalaan Khan Yousafzai

“…The aim of this work is to develop multi-level classification model an efficient ensemble technique capable of predicting the level of corrosion defects and addressing class imbalances in oil and gas pipeline data. …”
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Enhancing Pain Management and Psychological Recovery in Earthquake Victims: The Role of Continuous Regional Analgesic Techniques Assessed by QoR-15 by Ergun Mendes, Ozal Adiyeke, Onur Sarban, Melih Civan, Okyar Altas, Alperen Korucu, Funda Gumus Ozcan, Gozen Oksuz

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Influence of Cavity Designs on Fracture Resistance: Analysis of the Role of Different Access Techniques to the Endodontic Cavity in the Onset of Fractures: Narrative Review by Mario Dioguardi, Davide La Notte, Diego Sovereto, Cristian Quarta, Angelo Martella, Andrea Ballini

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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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The effectiveness of Spencer muscle energy technique on pain, function and range of motion in patients with frozen shoulder: Systematic Reviews and Meta-analyses by Mihret Dejen Takele, Alemu Kassaw Kibret, Gashaw Jember Belay, Moges Baye, Kefale Getie, Kassaw Belay Shiferaw, Getachew Azeze Eriku

“…It leads to marked reduction in shoulder mobility, impacting daily activities and quality of life. This study aims to evaluate the effectiveness of the Spencer muscle energy technique (SMET) for frozen shoulder patients. …”
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Comparison of Spencer muscle energy technique and conventional physiotherapy on pain and disability in shoulder adhesive capsulitis: a quasi-experimental study by Aisha Amin, Ramsha Malik, Sajjan Iqbal Memon, Zainab Zafar Awan, Faiza Almas, Rabia Talab Hussain, Qurat-ul-ain Zahra

“…Abstract Background Frozen shoulder, or adhesive capsulitis, causes severe shoulder discomfort and limited range of motion (ROM). The present study aims to evaluate the effectiveness of the Spencer muscle energy technique (SMET) in reducing pain and improving functional disability in patients diagnosed with adhesive capsulitis. …”
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Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

“…Identifying key brain regions associated with ADHD remains a challenge due to the high dimensionality and complexity of neuroimaging data. This study aims to apply advanced machine learning techniques to uncover critical features and improve classification performance in ADHD diagnosis.Methods: We analyzed 5937 brain voxels aggregated from neuroimaging records of patients diagnosed with ADHD. …”
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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

“…Th is research contributes to the development of machine learning in healthcare, specifically improving disease prediction models through advanced data analysis techniques.…”
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Peningkatan Menulis Teks Deskripsi melalui Teknik Pertanyaan Panduan di MTs Hidayatul Husna by Siti Umi Hanifiyah, Alfian Rokhmansyah

“…The subjects of this study were 15 students of class VII MTs Hidayatul Husna. Data was collected using the test method, while descriptive statistics were used in data analysis techniques. …”
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Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data by Douglas Talbert, Katherine Phillips

“…These hypotheses guide our exploration of data preparation techniques and model selection strategies for addressing technical challenges related to Just-In-Time Adaptive Interventions aimed at mental health monitoring. …”
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Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

“…The selected test tools were analyzed using content analysis techniques to identify the match with the data characteristics. …”
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Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid by WANG Yuanyuan, HAN Yiliang, WU Liqiang, LI Yu, YAO Wujun, WU Xuguang, ZHU Shuaishuai

“…This scheme aimed to enable the multi-dimensionalization and multi-functional operation of meter data while protecting user privacy. …”
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Strategi Bimbingan Kelompok dengan Teknik Permainan untuk Meningkatkan Optimisme by Mualwi Widiatmoko, Fadhila Malasari Ardini

“…This research is motivated by the results of preliminary research, which shows the level of optimism of the students of the Faculty of Teacher Training and Education, Mathla'ul Anwar University Banten batch 2018 of 35.6% who are in the medium category, 30% of students are pessimistic, and 3.3% of students are people who very pessimistic. This study aims to prove the effectiveness of the play technique treatment model in increasing the level of optimism. …”
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Data governance and open sharing in the fields of life sciences and medicine: A bibliometric analysis by Yanrui Qiu, Zhimin Hu

“…Objective This study aims to conduct a bibliometric analysis of literature related to data governance and open sharing in the fields of life sciences and medicine, so as to clarify the characteristics of publications and explore research hotspots and trends. …”
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Reducing the Break-even Time by Smart Power Managing in Data Center with Renewable Energy by somayyeh taheri, Maziar Goudarzi

“…In this paper, the power management and cost reduction techniques, with the aim of reducing break-even time, like using the electricity pricing models' opportunity and distributed Uninterruptable Power Supply (UPS) has been considered. …”
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