Survey on Nutritional Status and Motor Skills of Lower-Class State Elementary School Students by Farhan Fauzan Damba Adiska, Febrita Paulina Heynoek, Abi Fajar Fathoni, Siti Nurrochmah

“…This research uses anthropometric instruments and the Test of Gross Motor Development-2 (TGMD-2). In analysing the data, this researcher used descriptive percentage data analysis techniques with the following results: (1) The nutritional status of lower grade elementary school children in Lowokwaru District, Malang City is predominantly in the normal category. (2) The level of motor skills of lower grade elementary school children in Lowokwaru District, Malang City is more dominant in the "average" category. …”
Get full text

Potential of EnMAP Hyperspectral Imagery for Regional-Scale Soil Organic Matter Mapping by Yassine Bouslihim, Abdelkrim Bouasria

“…This study presents the first assessment of EnMAP (Environmental Mapping and Analysis Program) hyperspectral imagery for soil organic matter (SOM) prediction and mapping using actual spectral data from 282 soil samples. …”
Get full text

Research Progress and Prospects on Pantograph-Catenary Arcing in Urban Rail Transit by ZHANG Yuhang, WEI Zhiheng, ZHOU Yuxiang, MA Zhipeng

“…Meanwhile, including weather factors in modelling will further refine the analysis of PC arcing. Targeted enhancements to arcing data collection will help reduce maintenance workloads, and the integration of multi-department data will drive intelligent detection of PC arcing in URT.…”
Get full text

Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm by Sandeep Samantaray, Abinash Sahoo, Falguni Baliarsingh

“…It is advised that groundwater monitoring network and data collecting system are strengthen in India for ensuring effective modelling of long-term management of groundwater resources.…”
Get full text

EfficientNet B0 Feature Extraction with L2-SVM Classification for Robust Facial Expression Recognition by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo, Heru Rustamadji, Nur Heri Cahyana

“…Facial expression recognition (FER) remains a challenging task due to the subtle visual variations between emotional categories and the constraints of small, controlled datasets. Traditional deep learning approaches often require extensive training, large-scale datasets, and data augmentation to achieve robust generalization. …”
Get full text

Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models by Mengkai Chen, Jun Wang, Feilong Zhao, Gaopeng Jiang

“…Simultaneously, Internet Concern index is constructed using Baidu search data as a non-directional sentiment proxy variable. …”
Get full text

Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness by Yufang Zhao, Yue Li, Yanjing Zhang, Xiaohui Yan, Guolin Yin, Liping Liu

“…To address these limitations, this study introduces the UTV-ST Swin Transformer, a deep learning model that combines ultrasound video data with standardized clinical information to predict the invasiveness of thyroid nodules. …”
Get full text

Narrativas emergentes: uso de las redes sociales y vivencias digitales en el ámbito educativo by Mario Alexi Isidro Delgado, Leydi Lorena Vasquez Ruiz, Surgei Bolivia Caicedo Villamizar

“…Subsequently, a semi-structured interview was conducted. The data analysis process was carried out through data triangulation. …”
Get full text

Automated grading of rectocele with an MRI radiomics model by Weiwei Lai, Shuang Wang, Jiannan Li, Rui Qi, Zeyun Zhao, Min Wang

“…These features were then dimensionality reduced to retain only the most relevant data for the analysis. The radiomics features were reduced in dimension, and a machine learning model was developed using a Support Vector Machine (SVM). …”
Get full text

Supporting Children and Their Families in Gauteng Public Schools: The Roles of School Social Workers by Gift Khumalo, Nolwazi Ngcobo, Mbongeni Shadrack Sithole

“…Semi-structured interviews were conducted to collect data, and thematic analysis was employed to identify themes. …”
Get full text

Attitudes of English for academic purposes learners towards using asynchronous videos in enhancing writing skills by Haitham Mostafa Safwat, May M. Ghoniem, Abeer M. Refky M. Seddeek

“…A pre- and a post-questionnaire, as well as semi-structured interviews, were used to collect qualitative and quantitative data. Furthermore, SPSS was used for data analysis. …”
Get full text

Reflections on Supported Teaching in School (STS) as a Strategy for Attaining Sustainable Teacher Education in Ghana by Kwame B. Bour, Daniel Adom-Fynn, Nuworza Kugbey, Kpeyibor Patience Farkor, Isaac Nyarko Kwakye

“…Data was analyzed using a thematic analytical approach. …”
Get full text

Climate change perceptions and adaptation by Sebei pastoralists in Mount Elgon, Uganda: a qualitative survey by Siya Aggrey, Elsa Varela, Rodrigue Batumike, Aida Cuni-Sanchez

“…Data were analysed using thematic and content analysis approaches. …”
Get full text

A Methodical Review of Iridology-Based Computer-Aided Organ Status Assessment Techniques by Suja Alphonse, Ramachandran Venkatesan, Theena Jemima Jebaseeli

“…The methodologies, data acquisition source, and volume of data used for both training and testing in the pre-diagnosis of human organs utilizing iris patterns are thoroughly studied. …”
Get full text

Structure and Operations of MicroVeg Vegetable Operational Innovation Platforms for Sustainable Vegetable Production in Southwestern Nigeria by Aanuoluwapo Opayinka, Akinloye Farinde, Solomon Adesoji, Clement Adebooye, Durodoluwa Oyedele

“…Data were analyzed using thematic analysis in ATLAS.ti 8. …”
Get full text

Exploring Metacognitive Strategies in Reading Academic Texts Among More and Less Proficient EFL University Students by Ali Roohani, Raheleh Sabzeali, Azizullah Mirzaei

“…Results of quantitative (<em>t</em>-tests) and qualitative data analysis showed that there were significant differences between the metacognitive strategies used by more and less proficient readers. …”
Get full text

Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees. by Alex Otesbelgue, Amara Jean Orth, Chandler David Fong, Carol Anne Fassbinder-Orth, Betina Blochtein, Maria João Ramos Pereira

“…Although colony losses remain difficult to prevent, precision beekeeping has introduced non-invasive strategies for monitoring hive conditions. Acoustic data, combined with machine learning techniques, has proven effective in detecting stressors and specific events in honeybee colonies; however, such methodologies remain underexplored for stingless bees, a group of native pantropical pollinators. …”
Get full text

Statistical signature of subtle behavioral changes in large-scale assays. by Alexandre Blanc, François Laurent, Alex Barbier-Chebbah, Hugues Van Assel, Benjamin T Cocanougher, Benjamin M W Jones, Peter Hague, Marta Zlatic, Rayan Chikhi, Christian L Vestergaard, Tihana Jovanic, Jean-Baptiste Masson, Chloé Barré

“…We here introduce several statistically robust methods for analyzing behavioral data in response to these challenges: 1) A generative physical model that regularizes the inference of larval shapes across the entire dataset. 2) An unsupervised kernel-based method for statistical testing in learned behavioral spaces aimed at detecting subtle deviations in behavior. 3) A generative model for larval behavioral sequences, providing a benchmark for identifying higher-order behavioral changes. 4) A comprehensive analysis technique using suffix trees to categorize genetic lines into clusters based on common action sequences. …”
Get full text

IWOA-LSTM based intrinsic structural identification of steel fiber concrete by Ping Li, Jie Feng, Shiwei Duan

“…The degree of approximation between the IWOA-LSTM model’s prediction and experimental data shows that the trained model has a high learning accuracy and good generalization capability, making it appropriate for use in structural engineering applications.…”
Get full text

Microcontroller-Based EdgeML: Health Monitoring for Stress and Sleep via HRV by Priyanshu Srivastava, Namita Shah, Kavita Jaiswal

“…The healthcare sector is undergoing a transformation with the integration of cutting-edge technologies such as machine learning (ML), the Internet-of-Things (IoT), and Cyber–Physical Systems (CPS). …”
Get full text