Land-use and land-cover changes and emerging non-tuberculous and tuberculous infectious diseases in humans and animals: a mixed-methods review of research findings from global and... by Jean-François Guégan, Carlos A Vargas Campos, Christine Chevillon, Ahmadou Sylla, Magdalene Dogbe, Kayla M Fast, Jennifer Pechal, Alex Rakestraw, Matthew E Scott, Michael W Sandel, Heather Jordan, M Eric Benbow

“…These depend on diverse LULC changes, different types of infectious disease systems, and spatio-temporal scales of studies. …”
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A Hierarchical ViT With Dynamic Window Shift Unit and Curriculum Learning for Remote Sensing Image Scene Classification by Yi Liu, Xiang Wu, Jihuan Ren, Jiacun Wang, Yuming Bo, Yuanhao Wang

“…To address these challenges, we proposed a novel RSI scene classification method based on an improved vision transformer. This method has better multiscale feature representation ability due to the improved hierarchical vision transformer structure, in which a feature map fusion layer produces feature maps of different sizes, and a window transformer block with dynamic window shift unit actively shifts to the local region with dense information, flexibly extracting and associating key features with multiscale in different input regions. …”
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Bearing Fault Diagnosis Grounded in the Multi-Modal Fusion and Attention Mechanism by Jianjian Yang, Haifeng Han, Xuan Dong, Guoyong Wang, Shaocong Zhang

“…The research is validated using the public dataset Vibration, Acoustic, Temperature, and Motor Current Dataset of Rotating Machines under Varying Operating Conditions for Fault Diagnosis. The method first converts current and vibration signals into two-dimensional grayscale images, extracts local features through multi-layer convolutional neural networks, and captures global information using the self-attention mechanism in the Vision Transformer (ViT). …”
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Directed Knowledge Graph Embedding Using a Hybrid Architecture of Spatial and Spectral GNNs by Guoqiang Hou, Qiwen Yu, Fan Chen, Guang Chen

“…Knowledge graph embedding has been identified as an effective method for node-level classification tasks in directed graphs, the objective of which is to ensure that nodes of different categories are embedded as far apart as possible in the feature space. …”
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TraitBertGCN: Personality Trait Prediction Using BertGCN with Data Fusion Technique by Muhammad Waqas, Fengli Zhang, Asif Ali Laghari, Ahmad Almadhor, Filip Petrinec, Asif Iqbal, Mian Muhammad Yasir Khalil

“…Abstract Personality prediction via different techniques is an established and trending topic in psychology. …”
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Primary care practices’ choice of implementation strategy for continuous glucose monitoring for patients with diabetes: a multiple methods study within a larger hybrid type-3 effec... by Kimberly T. Wiggins, Tristen L. Hall, Bonnie Jortberg, W. Perry Dickinson, L. Miriam Dickinson, Jessica A. Parascando, Douglas H. Fernald, Chelsea Sobczak, Sean M. Oser, Tamara K. Oser

“…We compared characteristics among practices choosing a practice-led, self-paced CGM implementation strategy or referral to a virtual CGM implementation service that provided patients and their referring primary care practices CGM initiation and data interpretation support for at least six months. Methods Colorado PC practices interested in implementing CGM enrolled and chose to use the American Academy of Family Physicians Transformation in Practice Series (TIPS): CGM implementation modules or refer patients to a virtual CGM initiation and education service designed and staffed by a primary care multi-disciplinary team. …”
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Digital university: Approaches to the concept definition by G. A. Bannykh, S. N. Kostina

“…The aim of the research is to analyse the theoretical approaches to disclosing the concept and essence of digital universities.Methodology and research methods. The mix-method was used as a research design: qualitative analysis (studying the content of theoretical sources and context, analysing the content of a concept) and quantitative analysis (scientometric analysis of publications and keywords in databases).Results. …”
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Generative AI-powered multilingual ASR for seamless language-mixing transcriptions by Puspita Dash, Sruthi Babu, Logeswari Singaravel, Devadarshini Balasubramanian

“…Abstract In a bilingual and linguistically diverse country like India, where a significant portion of the population is fluent in multiple languages, the conventional bilingual Transformer neural network architecture faces challenges in accurately translating conversations that seamlessly switch between different languages. …”
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KDFF-DETR: Knowledge-Driven Feature Fusion DETR for Spaceborne Infrared Ship Detection by Yifei Peng, Ze Tao, Jian Zhang, Rongchang Zhao, Chao Liu, Hui Sun

“…Besides, a contribution-balanced feature fusion (CBFF) method for query selection is proposed, dynamically adjusting the weight distribution of handcrafted and deep features during different training stages to improve feature fusion accuracy and generalization ability. …”
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MANAGEMENT INFORMATION SYSTEM IN THE INTERACTION BETWEEN UNIVERSITIES AND BUSINESS IN THE AGE OF ARTIFICIAL INTELLIGENCE by Rustam E. Asizbaev, Aziza B. Karbekova, Zhumagul K. Umarbekova, Venera Akylbek kyzy, Siuita М. Kasymova

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Expresión transitoria del gen GUS en caña de azúcar usando Agrobacterium tumefaciens Transient gene expression in sugarcane using Agrobacterium tumefaciens by Martha Liliana Bonilla Betancourt, Jaime Eduardo Muñoz Flórez, Fernando ángel Sánchez

“…<br>The aim of the present study was to develop a transformation method mediated by Agrobacterium in Colombian cultivars of sugarcane. …”
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Comparison of statistical methods for the analysis of patient-reported outcomes (PROs), particularly the Short-Form 36 (SF-36), in randomised controlled trials (RCTs) using standar... by Yirui Qian, Stephen J. Walters, Richard M. Jacques, Laura Flight

“…Transformed scale-based methods (OL, OP, BB, BLN, Frac, and BR) shared a similar pattern, except that OL generated higher absolute coefficients and BLN produced higher SESs than other methods. …”
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Dilatancy Characteristics and Influencing Factors of Large-Aggregate Core Wall Asphalt Concrete by HE Jian-xin, YANG Han-bing, CHEN Peng-peng, DING Xin-yu, WANG Ya-nan, LIU Liang

“…The dilatancy characteristics were elucidated from the perspectives of confining pressure and different maximum aggregate sizes. The relationship between the phase transformation stress ratio (Mpt) of asphalt concrete and confining pressure as well as different maximum aggregate sizes was comparatively analyzed, and an expression for determining whether dilatancy occurred in the specimen based on initial parameters was established. …”
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Energy Efficiency of Heat Pumps Heating Systems at Subsoil Waters for South-East Regions of Europe by Denysova A.E., Klymchuk O.A., Ivanova L.V., Zhaivoron O.S.

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From policy to practice: digital skills development across EU member States by Alexandra CONSTANTIN, Edi-Cristian DUMITRA, Alexandra-Paula PUIU

“…The accelerated progress of digital technologies had a transformational impact on the educational landscape, and led to powerful changes in how digital skills are developed, whereas educational policies still play a central role in shaping these competencies across Europe. …”
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Identification of dental related ChatGPT generated abstracts by senior and young academicians versus artificial intelligence detectors and a similarity detector by Matheel AL-Rawas, Omar Abdul Jabbar Abdul Qader, Nurul Hanim Othman, Noor Huda Ismail, Rosnani Mamat, Mohamad Syahrizal Halim, Johari Yap Abdullah, Tahir Yusuf Noorani

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An investigation on anomalous deformation behavior in SUS304 austenitic stainless steel: Experiments and simulations by Bo Cao, Ruihe Liu, Chong Gao, Qian Sun, Xiaojun Tan, Takeshi Iwamoto, Tadanori Sugino

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Time Evolution of Bacterial Resistance Observed with Principal Component Analysis by Claudia P. Barrera Patiño, Mitchell Bonner, Andrew Ramos Borsatto, Jennifer M. Soares, Kate C. Blanco, Vanderlei S. Bagnato

“…This is carried out via machine learning methods for the purpose of faster and more effective infection treatment in healthcare settings.…”
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The Effect of Culture Techniques of Hypoxic Stem Cell Secretome on The Number of Growth Factor TGF-β, BMP-2, VEGF by Mouli Edward, Ferdiansyah Mahyudin, Dionysius Bramta Putra Manyakori

“…Vascular endothelial growth factor (VEGF), Transforming growth factor-β (TGF-β), and Bone morphogenetic protein-2(BMP-2) levels were measured using ELISA. …”
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Finite Time Path Field Theory and a New Type of Universal Quantum Spin Chain Quench Behavior by Domagoj Kuić, Alemka Knapp, Diana Šaponja-Milutinović

“…Using finite time path field theory (FTPFT) perturbative methods, we show that the difference between the sudden quench and a class of quenches with non-sudden switching on the perturbation vanishes exponentially with time, apart from non-substantial modifications that are systematically accounted for. …”
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