Information literacy research of technical and vocational education and training in China in the past 10 years: a systematic literature review by Jiali Dai, Jiali Dai, Hanifah Jambari, Nur Hazirah Noh, Mohd Hizwan Mohd Hisham

“…The main findings include; (a) technological, social and educational circumstances influence which receive extensive attention from researchers, (b) frequent use of narrative inquiry method with lack of empirical studies, (c) themes identified of information literacy among TVET institutions in China shows significant differences as compared to the themes of information literacy in higher education, and the reasons underlying this finding has been critically analysed. …”
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A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…By comparing the performance of the two methods in land use change prediction, this study reveals the divergent characteristics of the two approaches in capturing complex transformation patterns. …”
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An Investigation of Interpolation Techniques to Generate 2D Intensity Image From LIDAR Data by Imran Ashraf, Soojung Hur, Yongwan Park

“…The main focus is to test the suitability of interpolation methods for 2-D image generation, and analyze the quality of the generated 2-D image. …”
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The Implementation Model of a Consensual Refnancing Rate for the BRICS Countries by М. V. Zharikov

“…The approaches of the BRICS countries to the IMS transformation have been fully studied in the economic literature. …”
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“Injecting yourself there is stigma around it; taking a few tablets is not too bad, is it?”: understanding perceptions and preferences of anabolic-androgenic steroid route of admin... by Luke Cox, Timothy Piatkowski, Matthew Dunn

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Bundle sheath cell-dependent chloroplast movement in mesophyll cells of C4 plants analyzed using live leaf-section imaging by Yuta Kato, Takao Oi, Yoshikatsu Sato, Mitsutaka Taniguchi

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Detection of Agricultural Terraces Platforms Using Machine Learning from Orthophotos and LiDAR-Based Digital Terrain Model: A Case Study in Roya Valley of Southeast France by Michael Vincent Tubog, Karine Emsellem, Stephane Bouissou

“…Terraces have long transformed steep slopes into gradual steps, reducing erosion and enabling agriculture on marginal land. …”
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Making Places: From Non-Place to User-Generated Space Through a Diversity of Media by Weijue Wang, Mark Tewdwr-Jones, Valerio Signorelli

“…By focusing on London as a case city, this article proposes a new method for observing the transformation process of urban places and non-places from location-based social media data. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…This study presents a deep learning framework that implements a novel semantic segmentation model designed to segment field-road trajectories, addressing the marked differences in spatial characteristics. The developed AI approach integrates transformer and semantic technologies to create an advanced semantic encoder that generates high-quality semantic prior maps and associated mask features. …”
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Household-level vulnerability and resilience to climate change in wheat producing farmers of Arsi Zone, Ethiopia by Mustefa Bati Geda, Jema Haji, Kedir Jemal, Fresenbet Zeleke

“…The vulnerability as expected poverty (VEP) method was used to determine the vulnerability status at the household level, whereas the resilience index measurement approach (RIMA) was used to determine the resilience status. …”
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TRENDS IN THE DEVELOPMENT OF OPEN GOVERNMENT DATA IN EUROPEAN COUNTRIES IN 2022-2024 by Kseniia Mohylna, Vitaliia Koibichuk, Bhola Khan

“…The relevance of the study is driven by the growing role of open data in ensuring transparency in public administration and supporting digital transformation. The main objective of the study is to classify European countries according to the dynamics of open government data development and to identify key differences in digital maturity. …”
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Short-term Optimal Scheduling Model for Hydropower Stations Considering Peak Shaving of Local and HVDC Receiving Power Grids by ZHOU Binbin, ZHANG Congtong, LIU Benxi, CHENG Chuntian, CHEN Kai, WANG Youxiang

“…In the face of the increasingly severe peak shaving pressure on both sending and receiving power grids of the high voltage direct current (HVDC) of large-scale hydropower stations,a short-term optimal scheduling model that takes into account peak shaving of local and HVDC receiving power grids of the cascade hydropower stations has been established.The model aims to minimize the maximum value of residual load in multiple power grids,not only considering the conventional hydraulic and power constraints of the cascade hydropower stations and the complex operation constraints of the HVDC transmission lines but also introducing coupled operation constraints between the HVDC transmission line and the hydropower stations.In the model-solving phase,the original model is transformed into a mixed-integer linear programming model by introducing auxiliary variables to linearize the objective function,hydraulic operation constraints,and HVDC operation constraints and using the big M method to linearize the bi-directional interval coupled constraints between the HVDC transmission line and the hydropower stations.Typical winter and summer days in a large-scale hydropower system in southwestern China are taken as examples,and the results show that the peak-valley difference of the sending power grid has decreased by up to 100%,while the decrease in the peak-valley difference in the receiving end power grid is 28.1% and 31.6%,respectively.It shows that the proposed model can share the flexibility of hydropower through HVDC transmission lines,achieve peak shaving in multiple power grids,and ensure safe operation of the HVDC transmission lines,which can provide a reference for short-term multi-grid peak shaving of large-scale cascade hydropower stations.…”
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Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: A pilot diagnostic accuracy study by Josep M. Badia, Daniel Casanova-Portoles, Estela Membrilla, Carles Rubiés, Miquel Pujol, Joan Sancho

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Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules by Ya Yang, Pan Wang, Chengzhou Yu, Jing Zhu, Jinping Sheng

“…Abstract The application of artificial intelligence (AI) technology has realized the transformation of people’s production and lifestyle, and also promoted the rapid development of the medical field. …”
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Structural modeling of ion channels using AlphaFold2, RoseTTAFold2, and ESMFold by Phuong Tran Nguyen, Brandon John Harris, Diego Lopez Mateos, Adriana Hernández González, Adam Michael Murray, Vladimir Yarov-Yarovoy

“…Recent breakthroughs in deep learning-based computational methods, such as AlphaFold, RoseTTAFold, and ESMFold have transformed research in protein structure prediction and design. …”
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Real-Time Player Engagement Measurement Using Nonintrusive Game Telemetry by Ammar Rashed, Shervin Shirmohammadi, Mohamed Hefeeda

“…Player engagement is crucial for the success of modern video games, yet its real-time measurement remains challenging due to the intrusive nature of traditional measurement methods. In this article, we present a novel framework for nonintrusive, real-time, and indirect measurement of engagement in multiplayer online games based on flow theory. …”
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The Trail Making Test in Virtual Reality (TMT-VR): Examination of the Ecological Validity, Usability, Acceptability, and User Experience in Adults with ADHD by Katerina Alkisti Gounari, Evgenia Giatzoglou, Ryan Kemm, Ion N. Beratis, Chrysanthi Nega, Panagiotis Kourtesis

“…Background: Virtual Reality (VR) is transforming neuropsychological assessment by providing immersive environments that closely replicate real-world conditions. …”
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Psycho-Emotional and Personal Spheres of Cancer Patients in the Context of the COVID-19 Pandemic by Pavel N. Ermakov, Oleg I. Kit, Ekaterina M. Kovsh, Lyudmila V. Zvereva

“…Rokich), and statistical research methods (MANOVA, post-hoc). Results. The personal characteristics of cancer patients in the context of the COVID-19 pandemic were characterized by more pronounced maladaptivity. …”
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Grinding power model for flute grinding of solid tools based on equivalent chip thickness by Lei REN, Jiangtao PAN, Daohui XIANG, Junjin MA, Xiaobin CUI

“…A grinding power model for flute grinding of solid tools is proposed based on equivalent chip thickness, aiming to achieve precise prediction and control of grinding power for flute grinding.MethodsA kinematic model for flute grinding is established using homogeneous coordinate transformation. …”
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基于ChatGLM急性缺血性卒中大血管闭塞的识别与诊断 Identification and Diagnosis of Large Vessel Occlusion in Acute Ischemic Stroke Based on ChatGLM by 宋晓微1，尹伟2，李佳褀3，魏宸铭1，王玥明1，邳靖陶1，陈乐1，高策舒1，马为之3，武剑1，4 (SONG Xiaowei1, YIN Wei2, LI Jiaqi3, WEI Chenming1, WANG Yueming1, PI Jingtao1, CHEN Le1, GAO Ceshu1, MA Weizhi3, WU Jian1,4 )

“…Abstract: Objective To explore the feasibility and accuracy of using the large language model ChatGLM for the identification and diagnosis of large vessel occlusion in patients with acute ischemic stroke based on emergency electronic medical record information. Methods This study selected patients with acute ischemic stroke that occurred within 24 hours and were consecutively treated at the Emergency Neurology Department of Beijing Tsinghua Changgung Hospital, Tsinghua University, from January 2016 to January 2024. …”
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