Optimising air quality prediction in smart cities with hybrid particle swarm optimization‐long‐short term memory‐recurrent neural network model by Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Samiya, Vivek Jaglan, Roobaea Alroobaea, Momina Shaheen, Faizan Ahmad

“…The existing research encounters several challenges that is, poor accuracy and incorrect real‐time updates. This research presents a hybrid model based on long‐short term memory (LSTM), recurrent neural network (RNN), and Curiosity‐based Motivation method. …”
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Curricula overlap between optometry and other health science training programmes at the university of Kwazulu-Natal, South Africa by Fathima B. Bux, Fezekile SF Gcabashe, Naairah Lakhi, Moeketsi Maphela, Nkazimulo Mhlongo, Faatima Moolla, Urvashni Nirghin, Diane van Staden

“…Identifying opportunities for combined training among health science disciplines at the university level improves interprofessional engagement and strengthens learning outcomes for students. An integrated curricular design within health professions education programmes supports a collaborative approach to patient care within the workplace. …”
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EN BUSCA DE LA PALABRA EXACTA. OBSERVACIÓN DEL PROCESO TRASLATIVO by Andrea Schäpers

“…El objeto del presente estudio observacional es describir las estrategias aplicadas por un grupo de estudiantes españoles para resolver problemas léxicos que se plantean cuando han de traducir un texto desde su lengua materna al alemán. …”
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ML-Based Screening of miRNA Inhibitors and Intervention of lncRNA/miRNA/mRNA Axis in Oncogenic KRAS-Associated Colorectal Cancer by Prasanna Srinivasan Ramalingam, Deepak B. Thimiri Govinda Raj, Murugan Subramanian, Sivakumar Arumugam

“…Alongside, machine learning (ML)–based screening was also performed to identify potential miRNA inhibitors from natural source using RDKit. …”
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Quan l'actualitat mediàtica entra a l'aula: la "mediaquest" com a eina per promoure la crítica intercultural When the media news enter the classroom: ‘mediaquest‘ as a tool for Cua... by Elisabet Higueras Albert

“…<br>This paper first analyses some of the changes that are taking place in education due to the introduction of learning and knowledge technologies and the presence of students of mixed origin. …”
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Assessing decision-making skills with the Script Concordance Test (SCT) in clinical neurology and emergency medicine by Helena-Fee Gudorf, Maximilian Heidrich, Kristoph Rauchstädt, Raphael Scherbaum, Lars Tönges, Anne-Sophie Biesalski

“…These skills can be evaluated using the Script Concordance Test (SCT), which presents daily clinical scenarios characterised by uncertainty. …”
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SAM2-DFBCNet: A Camouflaged Object Detection Network Based on the Heira Architecture of SAM2 by Cao Yuan, Libang Liu, Yaqin Li, Jianxiang Li

“…Existing deep learning methods often struggle to achieve robust segmentation under these conditions. …”
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Diseño y validación de un cuestionario mediante Método Delphi para valorar las relaciones entre me-todologías activas y evaluación formativa en Educación Física en Primaria (Design... by Alba Arija-Mediavilla, María Luisa Santos-Pastor, Luis Fernándo Martínez-Muñoz, Pedro Jesús Ruiz-Montero

“…Although active methodologies are present in Physical Education in Primary school, there are few references to evaluation and limited instruments to assess the coherence between the two processes. …”
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A systematic review of prescription errors in paediatric care by GD Hannibal, NVNN Vithanage, MT Madhushika, TK Sinhabahu, I Kankananarachchi, PLGC Liyanage

“…Only two articles have presented associated factors with PE. Parent factors such as poor health literacy (p < 0.001), language proficiency (p < 0.001), patient variables like age, weight, and other contextual factors including hospital stay, number of medications and medication administration methods were the main factors associated with PE (p < 0.05).The interventions that have shown statistically significant effectiveness in reducing PE were implementing e-learning resources, utilizing a color-coded method for dose determination, educating physicians and implementing templated prescriptions (p < 0.001). …”
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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

“…Using these features, four machine learning (ML) algorithms were developed. The optimal model was visualized and clarified using SHapley Additive exPlanations (SHAP) and presented as a nomogram. …”
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Impact of calibration set size for predicting soil fertility attributes using local pXRF spectral libraries by José Vinícius Ribeiro, Tiago Rodrigues Tavares, José Francirlei de Oliveira, Graziela M.C. Barbosa, Fábio Luiz Melquiades

“…Employing portable Energy-Dispersive X-Ray Fluorescence (pXRF) sensors and Machine Learning (ML) using calibration set sizes with reduced samples can save resources and time in measuring soil fertility attributes. …”
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Global research hotspots and trends of iodinated contrast agents in medical imaging: a bibliometric and visualization analysis by Yun Liu, Yonghai Dong, Fei Xie

“…Through the visualization of knowledge maps, it presents research progress and reveals the research directions, hotspots, trends, and frontiers in this field.MethodsUsing Web of Science Core Collection database, CiteSpace and VOSviewer were employed to conduct a visual analysis of the global application of iodine contrast agents in medical imaging over the past four decades. …”
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A comparison of the responses between ChatGPT and doctors in the field of cholelithiasis based on clinical practice guidelines: a cross-sectional study by Tianyang Mao, Xin Zhao, Kangyi Jiang, Qingyun Xie, Manyu Yang, Ruoxuan Wang, Fengwei Gao

“…As ChatGPT's performance improves through deep learning, it is expected to become more useful and effective in the field of cholelithiasis. …”
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Beyond the Drafting Table; Women’s Journey in Architecture as a STEM Career by Francis O. Okeke, Chinelo A. Ozigbo, Emeka J. Mba, Ikechukwu W. Ozigbo, Peter I. Oforji, Rosemary C. Nnaemeka-Okeke, Chioma A. Okeke, Shuang Guo, Benignus U. Ugwu

“…Creativity (28%), continuous learning (24.2%), and societal impact (20%) were found to be the most rewarding aspects of their architectural careers. …”
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Artificial intelligence-based model for diagnosing Helicobacter pylori in whole-slide images by Kehan Teng, Lihua Ren, Xiaoyu Yan, Yawei Duan, Zhe Chen, Hansheng Li, Lihua Zhang, Lei Cui

“…The reliability of DS-MIL is confirmed through the Visual model.DiscussionOur research presents an AI - based predictive model for H. pylori infection, which significantly enhances clinical efficiency and diagnostic accuracy. …”
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Revolutionizing Electric Vehicle Charging Stations with Efficient Deep Q Networks Powered by Multimodal Bioinspired Analysis for Improved Performance by Sugunakar Mamidala, Yellapragada Venkata Pavan Kumar, Rammohan Mallipeddi

“…The rapid growth of electric vehicle (EV) adoption presents significant challenges in planning efficient charging infrastructure, including suboptimal station placement, energy consumption, and rising infrastructural costs. …”
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Third-year medical students’ perceptions of confidence and readiness to perform EFAST after training by Petra Rocic, Ryan Garrison, Kyle Stitle, Austin Reynolds, Rebecca Andrews-Dickert

“…Conclusions This study presents the implementation of a focused EFAST curriculum developed through competency-based deliberate backward design based on professional guidelines and the anticipated educational needs of our institution and community. …”
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Applications of molecular dynamics in nanomaterial design and characterization - A review by Md. Aminul Islam, S M Maksudur Rahman, Juhi Jannat Mim, Safiullah Khan, Fardin Khan, Md. Ahadul Islam Patwary, Nayem Hossain

“…The aim includes but is not limited to fundamental concepts, state-of-the-art developments, and the use of MD in conjunction with machine learning and quantum mechanics. Herein, we aim to give a comprehensive overview of the contributions of MD to the engineering of nanomaterial properties for catalytic, energy storage, drug delivery and other applications. …”
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Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis by Ivars Neiders, Signe Mežinska, Neeltje E. M. van Haren

“…In several cases there is no empirical knowledge that determines whether particular concerns are justified (stigmatisation, use of machine learning algorithms).…”
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Examining a teacher-led physically active mathematics intervention: teachers’ perceptions of the facilitators and barriers to implementation in UK primary schools by Nathan S. Wood, Simon B. Cooper, Karah J. Dring, Daniele Magistro, Ruth Boat

“…Furthermore, physically active lessons (PALs) were easier to implement in contexts where play-based learning approaches from the early years foundations stage could naturally extend into subsequent years. …”
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