Mapping forest types along ecological gradient in Pakistan by Naveed Ahmad, Syed Ghias Ali

“…This study explored the spatial distribution of four forest types across ecological gradient based on field data, climatic, topographic, and soil variables using stepwise linear regression (SLR), decision trees (DT), random forests (RF), and Maxent modeling. …”
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Exploring Ethical Challenges and Labour Practices in the Informal Sector: A Study of Ghana’s Fashion Apprenticeship Programs by Adukwei Sempe Glover, Ninette Afi Appiah, Alhassan Saana Haruna

“…Methodology/Design: The study adopts a qualitative approach, utilising in-depth interviews with key stakeholders, including apprentices, master craftsmen, and representatives from industry associations. Data were collected through focus group discussions and thematic analysis was employed to identify recurring patterns and themes related to working conditions, mentorship quality, policy compliance, and remuneration practices. …”
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Attention mechanism augmented random forest model for multiple air pollutants estimation by Xinyu Yu, Man Sing Wong, Kwon-Ho Lee

“…Machine learning techniques based on satellite observations energize the derivation of near-surface air pollutant concentrations. …”
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Integration of the Digital Space of the University Using the Implementation of Personal Accounts of Students, Lecturers and Applicants by Tatiana M. Shamsutdinova

“…This study used the following materials and methods: analysis of bibliographic sources on the problems of digital transformation of the higher education system, as well as methods of collecting, systematizing, structuring and analyzing data about subsystems and services of personal accounts of students, lecturers and applicants of the university.Results. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

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An intelligible AI-driven decision support system for poststroke mobility assessment by Jin Cheng Liaw, Dominik Raab, Malte Weber, Mario Siebler, Harald Hefter, Dörte Zietz, Marcus Jäger, Andrés Kecskeméthy, Francisco Geu Flores

“…To meet these challenges, we show that machine learning algorithms can reproduce expert mobility assessment from gait data with acceptable accuracy, supporting poststroke evaluation while giving intelligible feedback into how the assessments were generated. …”
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A prospective multicenter randomized controlled trial on artificial intelligence assisted colonoscopy for enhanced polyp detection by Dong Kyun Park, Eui Joo Kim, Jong Pil Im, Hyun Lim, Yun Jeong Lim, Jeong-Sik Byeon, Kyoung Oh Kim, Jun-Won Chung, Yoon Jae Kim

“…Each fold consisted of 9,639 training images and 1,070 validation images. Video data from 56 patients were used for model training, and transfer learning was performed using the developed still image-based model. …”
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Predictors of Cognitive Defects and Its Prevention Capabilities in Premature Infants by Irina A. Belyaeva, Alexander A. Baranov, Leyla S. Namazova-Baranova, Kamilla E. Efendieva, Polina S. Arimova, Alexey I. Molodchenkov, Elena P. Bombardirova, Georgiy A. Karkashadze, Tatiana V. Turti, Elena A. Vishnyova

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Strategies and barriers to implementing physically active teaching in universities from the perspective of lecturers: a qualitative study by Robert Rupp, Birgit Wallmann-Sperlich, Jens Bucksch

“…Methods We conducted semi-structured interviews with 16 lecturers to explore potential physically activating strategies in university teaching, assess their degree of utilization, and identify barriers to implementation. The data were analysed by a structured content analysis of the interview transcripts using MAXQDA 2020 software. …”
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Digiwork: how agriculture 4.0 is changing work for farm advisers by Ruth Nettle, Julie Ingram, Margaret Ayre

“…We interviewed 22 advisers and 4 Agricultural technology (AgTech) company representatives about changes to their work as their farming clients implement SFTs.ResultsBased on qualitative analysis of the interview transcripts, and applying grounded theory techniques of constant comparison, we found a range of changes to work including: the diversity of advisory roles; integration work or the emerging ‘side office’ at the nexus of the office and the farm; demands in work duration and changes in work efficiency and effectiveness; increased workload in learning and developing new knowledge and skills and in the work of building and adapting business models fit for smart farming.DiscussionWe discuss three contributions to the understanding of changes to advisory work: the evolution in advisory roles (including bifurcation and specialisation of roles) expanded knowledge brokering and intermediary work and digiwork, or the work of integrating social, material and symbolic practices in smart farming. …”
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Perspectives of guardians/parents in Portugal: interpreting the inclusive education policy through lived school practices by Ana Eloisa Carvalho, Amélia Veiga

“…Participants were drawn from four school clusters located in different regions of mainland Portugal (Centro; Lisboa e Vale do Tejo; Alentejo; Algarve), ensuring a degree of geographical diversity in the data collection process.ResultsThe results indicate progress compared to the previous policy repealed by Decree-Law 54/2018, particularly in the identification of educational measures better aligned with students‘ needs and in the development of more collaborative decision-making processes between schools and the families. …”
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Leveraging Artificial Neural Networks for Real-Time Speech Recognition in Voice-Activated Systems by Kumar V Suresh, B Raveendra Nadh, S Sureshkumar, Suresh Kumar Anisetty, S R Arun Raj, G Sheeba

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The psychostimulant drug, fenethylline (captagon): Health risks, addiction and the global impact of illicit trade by Matthew Chidozie Ogwu, Matěj Malík, Pavel Tlustoš, Jiří Patočka

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The Intrinsic Flattening of Galaxy Disks by Jeremy Favaro, Stéphane Courteau, Sébastien Comerón, Connor Stone

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FARVNet: A Fast and Accurate Range-View-Based Method for Semantic Segmentation of Point Clouds by Chuang Chen, Lulu Zhao, Wenwu Guo, Xia Yuan, Shihan Tan, Jing Hu, Zhenyuan Yang, Shengjie Wang, Wenyi Ge

“…Light Detection and Ranging (LiDAR) provides critical 3D point cloud data for environmental perception systems, yet efficiently processing unstructured point clouds while extracting semantically meaningful information remains a persistent challenge. …”
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Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study by Xingqiang Pan, Yan Zhang, Xuefei Zhao, Dandan Zhang

“…A recurrent neural network model was constructed for deep learning analysis of incidence trends and the impact of nonpharmaceutical interventions. …”
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Élaboration d’un protocole de suivi de la fréquentation au sein de la Réserve naturelle marine de la Réunion, France, Océan Indien by Anne Lemahieu, Gwenaëlle Pennober, Gilbert David, Franck Lavigne, Karine Pothin, Léa Gérard

“…Between January and July 2010, 14 uses including swimming, beach going, water sports and fishing have been monitored using an ultra-light aircraft and a camera .48 flights were planned over this period according to a temporal stratification (Summer/Winter, Holidays/School days, week/weekend and morning/afternoon). Data were integrated to a Geographic Information Base offering a range of spatial analysis and statistics tools. …”
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Validation of the Stress Mindset Measure (SMM) in an Italian sample: Practical utility of a short version by Irene FLOREAN, Francesco MARCATTO, Silvia TRENTIN, Barbara PENOLAZZI

“…An Exploratory Factor Analysis (EFA) was conducted to investigate the SMM factorial structure emerging from the data. …”
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Decoding mitochondrial stress genes in DCM: towards precision diagnosis and therapy by Bingbing Zhu, Hai Cheng, Jiawei Li, Yangyang Hu, Xiaoning Ge

“…Methods We sourced transcriptomic data from the GEO database and mitochondrial oxidative stress-related genes from GeneCards. …”
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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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