Exploring family physicians’ experiences with electronic prescribing platforms in primary healthcare centers in Hail, Saudi Arabia: a qualitative study by Bader Alshoumr, Abdullah Alkhalaf, Hend Alkwai, Yazed Alsowaida, Ghaliah Alfehaid, Badr Alnasser

“…Thus, this study aims to explore the perspectives, usage patterns, and perceived impacts of an ePrescribing platform, named Wasfaty, which has been adopted in primary healthcare centers by family physicians in Hail region in Saudi Arabia. …”
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Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification by Ahlem Aziz, Necmi Serkan Tezel, Seydi Kaçmaz, Youcef Attallah

“…In parallel, machine learning has shown considerable promise in supporting early disease recognition by uncovering complex and often imperceptible patterns in image data. <b>Methods:</b> This study introduces a novel framework for the early detection of DR through multifractal analysis of OCT images. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…Additionally, we evaluated five classical ML models for classifying the extracted patterns: (a) Support Vector Machine (SVM); (b) GaussianNB (GNB); (c) AdaBoost (ADB); (d) K-Nearest Neighbors (KNN); and (e) Random Forest (RF). …”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

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Resource potential and extraction technique design for helium in coal measures by Lei WANG, Maoyin TANG

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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…The study proves a reduction in intervention from 18 to 8 features and a reduction in training time from 1660.5 to 901.66 seconds for comprehensive model development.…”
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Language Culture and Land Use: A Case Study of the Dialect Cultural Regions in Anhui Province, China by Xiyu Chen, Guodong Fang, Jia Kang, Bo Hong, Ziyou Wang, Wuyun Xia

“…The unity of material and spiritual civilization is among the important criteria for sustainable development and modernization construction. However, defining the relationship between the two has posed a challenge to researchers. …”
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Paleogeomorphology reconstruction and its control on sand dispersal systems: a case study from the Pinghu formation in the Hangzhou slope belt, Xihu Sag, East China sea shelf basin by Lanzhi Qin, Jie Xu, Jie Xu, Jie Xu, Donghao Xu, Hao Liu, Hao Liu, Hao Liu, Kun Cai

“…This study applies the seismic virtual extrapolation method and mudstone sonic analysis to reconstruct the paleogeomorphology of the Pinghu Formation in the Hang-zhou Slope Belt of the Xihu Sag, aiming to elucidate the control of paleogeomorphic features on sedimentary sand body distribution. Based on detailed geological investigation and sedimentary analysis, combined with paleogeomorphic reconstruction techniques, geomorphic units and their spatial assemblages are identified, and the mechanisms by which variations in paleogeomorphic morphology and slope gradient influence sediment dispersal patterns are revealed. …”
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Redefining the Geographic Distribution of Two Cryptic Halictus (Hymenoptera: Halictidae) Species in the Eastern United States by Hannah K. Levenson, Luke R. Tembrock, Frida A. Zink, Kayla A. Mollet, David R. Tarpy

“…These clarified species distributions help us better understand local pollinator communities, associated habitat features, and abiotic conditions amenable to each, as well as provide insights into patterns related to their speciation.…”
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3D bioprinted unidirectional neural network and its application for alcoholic neurodegeneration by Mihyeon Bae, Joeng Ju Kim, Jinah Jang, Dong-Woo Cho

“…This study proposes the development of a 3D bioprinted engineered neural network (BENN) model to replicate the physiological features of the brain, suggesting its application as a tool for studying neurodegenerative diseases. …”
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CD2AP at the junction of nephropathy and Alzheimer’s disease by Milene Vandal, Mohsen Janmaleki, Isabel Rea, Colin Gunn, Sotaro Hirai, Jeff Biernaskie, Justin Chun, Grant Gordon, Andrey Shaw, Amir Sanati-Nezhad, Gerald Pfeffer, Frederic Calon, Minh Dang Nguyen

“…Abstract Polymorphisms in the gene encoding CD2-associated protein (CD2AP) are associated with an increased risk for developing Alzheimer’s disease (AD). Intriguingly, variants in the gene also cause a pattern of kidney injury termed focal segmental glomerulosclerosis. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…Specifically, a global context attention network is developed for capturing multiple-scale features, and a local context attention network is designed for specific tasks. …”
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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

“…This enables the effective isolation of discriminative patterns, such as crack density, from complex backgrounds. …”
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Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

“…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
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The present study answers the research question: A corpus-based analysis of collocate directionality in academic English writing by Abdulaziz B. Sanosi

“…Such results can have implications for both collocation instruction and provide practical insights to develop academic writing skills. With these findings, educators can concentrate on teaching the syntactic features of collocations and emphasizing vocabulary instruction that prioritizes word pairs over individual words. …”
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PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport by Eunkyeong Lee, Hosik Choi, Do-Gyeong Kim

“…Therefore, it is necessary to establish a regional demand generation prediction model that reflects temporal features for efficient demand response service operations. …”
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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…Gene expression patterns as revealed by the classifier can provide useful information for both research and diagnostic purposes.…”
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Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region by V. G. Kalinin, A. A. Shaydulina, V. S. Rusakov, M. A. Fasakhov

“…Based on the temperature coefficient method, detailed digital maps and GIS-technologies, a model of spring snow melting has been developed. This model makes it possible to take into account the spatial distribution of meteorological information, features of the relief and soil-vegetation cover more accurately. …”
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Pregnancy course and perinatal outcomes in women with congenital heart valve disease by Yu. V. Bukhonkina1, R. I. Stryuk, G. V. Chizhova, V. B. Nemirovsky

“…All women gave birth at the specialised maternity centre in Moscow and the perinatal centre in Khabarovsk.Results. The features of CHVD in pregnant women reflected the population patterns and were represented by interventricular and interatrial septal defects, aortal coarctation, open arterial duct, pulmonary artery stenosis, and corrected “blue” heart valve disease. …”
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The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

“…This mechanism is integrated with the Bidirectional Gated Recurrent Unit (BiGRU) to develop the BiGRU-MSTA framework. This framework effectively captures multi-scale temporal features and enhances prediction accuracy, even with limited training data. …”
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