Evaluate the Impact of Class Granularity in Point Cloud Semantic Segmentation on DTM Accuracy by H. A. Sadeq

“…The Digital Terrain Model (DTM) is considered an essential component in various applications, including road design, urban planning, terrain analysis, and, environmental monitoring. LiDAR data is known to have very high accuracy therefore it is considered the most reliable source for DTM generation. …”
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Digital Transformation of Islamic Boarding School Microfinance Institutions in Reducing Consumptive Behavior of Students (Santri) by Moh. Suhud, Nikmatul Masruroh, Babun Suharto

“…Data analysis was conducted using the interpretive technique within the interactive model by Miles and Huberman. …”
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UAV-based remote sensing of chlorophyll-a concentrations in inland water bodies: a systematic review by Nobubelo Ngwenya, Tsitsi Bangira, Mbulisi Sibanda, Seifu Kebede Gurmessa, Tafadzwanashe Mabhaudhi

“…Unmanned Aerial Vehicles (UAVs) offer high-resolution, near-real-time data, bridging this gap. This review explores global progress, gaps, and recommendations on UAV-based chlorophyll-a monitoring in small inland water bodies, focusing on sensor characteristics, platforms, validation data and retrieval algorithms, using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. …”
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Higher education qualifications for early childhood educators: Policy implementation challenges by Zelda Adendorff, Keshni Bipath

“…Quantitative data were evaluated using statistical software, and qualitative data were analysed using a thematic analysis approach. …”
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Implementing of science literacy guidelines for primary school teacher students by Ima Wahyu Putri Utami, Arinta Rezty Wijayaningputri, Nor Hazlina Fazlyn

“…Data collection techniques in this research include in-depth interviews, observation, and document analysis. …”
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Evaluating the Salary Mismatch Among Secondary School Teachears in Rubanda District. by Atukwase, Brian

“…A mixed-methods approach was used, combining quantitative data analysis and qualitative interviews. Data were collected from a sample of secondary school teachers from different regions, including salary records, teacher qualifications, and years of experience to assess the prevalence and degree of salary mismatches. …”
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Integrating geographic information systems into veterinary education within the one health framework: an interdisciplinary approach by Antonio Contreras, Víctor Cuevas, Jorge Rivera-Gomis, Jorge Rivera-Gomis, Antonio Sánchez, Pelayo Acevedo, Joaquin Vicente

“…The exercises support data visualization, geospatial analysis, and the generation of online outputs. …”
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Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements by Sulaiman Khan, Zubair Shah

“…We excluded participants with incomplete data points. To handle class imbalance, we augmented our data using Synthetic Minority Over-sampling Technique (SMOTE) and SMOTEENN (SMOTE with Edited Nearest Neighbors), and to further investigated the association between bones data features and diabetes status, we employed ANOVA analytical method. …”
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Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related Genes by Hongfan Zhao, Zihao Chen, Yunze Fang, Mingqiang Su, Yipeng Xu, Zhifeng Wang, Michael Adu Gyamfi, Junfeng Zhao

“…The ECM-related genes were obtained by differentially expressed gene analysis, stage-associated gene analysis, and random forest variable selection. …”
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Development and Testing a New Online Dynamic Nomogram for Contrast-Induced Acute Kidney Injury in Elderly Patients with ST-Segment Elevation Myocardial Infarction by Jin J, Ding J, Zhang X, Wang L, Zhang X, Li W, Li S

“…Lasso regression selected predictors, and nine Machine Learning (ML) algorithms were evaluated via Receiver Operating Characteristic (ROC) analysis. …”
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S100A11 as an immune-related exosomal driver of colorectal cancer progression: a novel diagnostic biomarker by Haibo Wang, Rongchao He, Deng Liu, Jun He, Zhong Shen

“…This study aims to identify exosome-related biomarkers in CRC and elucidate the functional significance of S100A11 in tumor progression and immune regulation.MethodsWe integrated multi-cohort transcriptomic data from TCGA and GEO databases and applied a machine learning triad (LASSO-SVM-Random Forest) to identify robust exosomal biomarkers for CRC. …”
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From underwater to drone: A novel multi-scale knowledge distillation approach for coral reef monitoring by Matteo Contini, Victor Illien, Julien Barde, Sylvain Poulain, Serge Bernard, Alexis Joly, Sylvain Bonhommeau

“…The method showed a strong alignment between underwater-derived annotations and ground truth data, reflected by an AUC (Area Under the Curve) score of 0.9251. …”
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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

“…HPE, a fundamental task in applications such as sports analytics and surveillance systems, involves predicting human joint locations from visual data. Despite substantial progress driven by deep learning advancements, particularly in handling occlusions and crowded environments, a comprehensive integration of these innovations remains limited in current literature. …”
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Pedagogical management in the digital educational environment: Theoretical aspect by S. S. Kulikova, O. V. Yakovleva

“…They begin their professional activities at the stage of the formation of a digital society; they will have to implement blended (distance, digital) learning. The authors applied the methods of comparative and contrastive analysis (comparison of the nature of management in a classical (classroom) and digital environment), synthesis and systematisation of data, modelling. …”
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Patient safety education in undergraduate medical education through a global lens: a scoping review by Njoud Aldardeir, Qabirul Karan Abdullah, Linda Jones

“…Descriptive statistical and thematic analysis for data extraction about curriculum design, learning and teaching interventions was conducted. …”
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AI for rapid identification of major butyrate-producing bacteria in rhesus macaques (Macaca mulatta) by Annemiek Maaskant, Donghyeok Lee, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A. M. Langermans, Evgeni Levin

“…Results By integrating fecal image data with corresponding metagenomic sequencing information, the deep learning (DL) and machine learning (ML) algorithms successfully predicted 16 individual bacterial genera (area under the curve (AUC) > 0.7) among the 50 most abundant genera in rhesus macaques (Macaca mulatta). …”
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Exploring graduate students’ use of generative artificial intelligence in Ghana: insights from an extended UTAUT2 model, PLS-SEM, IPMA and fsQCA by Iddrisu Salifu, Francis Arthur, Bernard Yaw Sekyi Acquah, Ernest Opoku, Sharon Abam Nortey, Eric Boateng

“…Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial least squares structural equation modeling (PLS-SEM), importance-performance map analysis (IPMA), and fuzzy-set qualitative comparative analysis (fsQCA) for the analytical approach. …”
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Artificial intelligence in dysphagia since the 21st century: a bibliometric and visualization study by Tao Liu, Tao Liu, Yuetong Rong, Dan Li, Heli Zhang, Heli Zhang, Baohua Li, Guoqing Cui, Shaomei Shang

“…Dysphagia was the most frequently occurring keyword (286 occurrences), while emerging terms included machine learning (ML) and deep learning (DL).ConclusionThis bibliometric analysis reveals the evolving landscape of AI research in dysphagia, highlighting current hotspots and future directions. …”
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Assessment of a patient safety culture: a nationwide cross-sectional study comparing public and private hospitals in Kuwait by Fatemah M. Alsaleh, Shaikha Albraikan, Hadeel Alzoubi, Eman A. Abahussain, Hossam Elamir

“…The questionnaire was distributed among clinical staff in public general and private hospitals. Data analysis using Microsoft Excel and SPSS 23 (α level = 0.05) provided an overview of participant characteristics and patient safety culture scores. …”
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women by Li Ma, Li Ma, Ru Chen, Weigong Ge, Paul Rogers, Beverly Lyn-Cook, Huixiao Hong, Weida Tong, Ningning Wu, Wen Zou

“…In addition, BERTopic has the connection port for ChatGPT-4-Turbo or other large language models in its algorithm for automatic interpretation, while with LDA interpretation must be manually, and needs special procedures for data pre-processing and stop words exclusion. Therefore, while LDA remains valuable for large-scale text analysis with resource constraints, AI-assisted BERTopic offers significant advantages in providing the enhanced interpretability and the improved semantic coherence for extracting valuable insights from textual data.…”
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