Study protocol: Return to Country, an Australia-wide prospective observational study about returning First Nations renal patients home by Alan Cass, Mandy Truong, Scott Jones, Stephen McDonald, Sandawana William Majoni, Yomei Jones, Cecilia Preece, Fiona Heerink, Andrew John Mallett, Cherian Sajiv, Khalil Patankar, Eddie Mulholland, Solomon Woldeyohannes, Paul Lawton

“…The aim of the study is to characterise the socioeconomic, environmental, health service and biomedical factors driving the health outcomes and patterns of health service utilisation experienced by First Nations patients and investigate whether health service changes to address these identified barriers can achieve higher rates of renal replacement therapy at home on country. …”
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Climate change–drylands–food security nexus in Africa: From the perspective of technical advances, challenges, and opportunities by Hirwa, Hubert, Li, Fadong, Qiao, Yunfeng, Measho, Simon, Muhirwa, Fabien, Tian, Chao, Leng, Peifang, Muhirwa, Fabien, Tian, Chao, Leng, Peifang, Ingabire, Romaine, Itangishaka, Auguste Cesar, Chen, Gang, Turyasingura, Benson

“…To bridge the gap from science to policy making in the CDF nexus, it is vital to enhance the impacts and feedbacks of ecohydrological processes on agrarian production, ecosystem service tradeoffs and their effects on livelihoods, and regional development and preservation by optimization of the ecological water security pattern. This state-of-the-art assessment uses acquired information and knowledge to conceptually evaluate the past, current, and future impacts and risks and facilitates decision making through the delivery of long-term sustainability and socio-ecological resilience.…”
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ADME gene-driven prognostic model for bladder cancer: a breakthrough in predicting survival and personalized treatment by Haojie Dai, Xi Zhang, You Zhao, Jun Nie, Zhenyu Hang, Xin Huang, Hongxiang Ma, Li Wang, Zihao Li, Ming Wu, Jun Fan, Ke Jiang, Weiping Luo, Chao Qin

“…Immediately following this, we selected core genes based on the PPI network and explored the prognostic potential of the core genes as well as immune modulation, and pathway activation. …”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…However, the manual classification of these patterns is labor-intensive, time-consuming, and depends heavily on specialized expertise. …”
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Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods. by Morgan A Ziegenhorn, Kaitlin E Frasier, John A Hildebrand, Erin M Oleson, Robin W Baird, Sean M Wiggins, Simone Baumann-Pickering

“…Types defined by clustering were then used as input classes in a neural-network based classifier, which was trained, tested, and evaluated on 5-minute binned data segments. …”
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An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations by Sainadh Singh Kshatri, Venkata Anjani Kumar G, Chilakapati Lenin Babu, Palepu Suresh Babu

“…The results demonstrate the GWO algorithm's superiority in minimizing power losses and enhancing voltage profiles across the distribution network. Furthermore, a probabilistic assessment is conducted to evaluate the robustness of the optimal EVCS placement under uncertain EV charging patterns. …”
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MindLift: AI-powered mental health assessment for students by Shanky Goyal, RishiRaj Dutta, Saurabh Dev, Kola Narasimha Raju, Mohammed Wasim Bhatt

“…By integrating convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based natural language processing (NLP) models, MindLift provides a comprehensive emotional analysis. …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

“…We adapted the MoveNet model to track keypoints on the lifter’s joints, which effectively represented their motion patterns. These keypoints not only served as visualization aids in the training of Convolutional Neural Networks (CNNs) but also acted as the primary features for Long Short-Term Memory (LSTM) models, both of which we employed to classify the various deadlift techniques. …”
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Enhancing Urban Road Safety: A 5G NR Model for Vulnerable Road Users Awareness by Alexis Yanez, Felipe Salas, Cesar A. Azurdia-Meza, Jorge Ignacio Sandoval, Sandra Cespedes

“…The model assumes full VRU connectivity to the 5G network and simulates 5G NR operating in communication mode 2, incorporating realistic urban mobility patterns (via SUMO traces) and signal propagation effects, including building-induced obstructions. …”
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Influence of insulin sensitivity on food cue evoked functional brain connectivity in children by Lorenzo Semeia, Ralf Veit, Sixiu Zhao, Shan Luo, Brendan Angelo, Andreas L. Birkenfeld, Hubert Preissl, Anny H. Xiang, Stephanie Kullmann, Kathleen A. Page

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Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion by Shreyan Kundu, Souradeep Mukhopadhyay, Rahul Talukdar, Dmitrii Kaplun, Alexander Voznesensky, Ram Sarkar

“…Traditional deep learning methods often struggle with the intricate and complex patterns seen in histopathology images of RCC and HCC, leading to inaccuracies in classification. …”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…Reliable defect detection in coarse-wavelength division multiplexing (CWDM) optical modules is critical for ensuring stable high-speed optical communication and minimizing network disruptions. Traditional inspection methods, such as manual video screening and optical testing, are labor-intensive, prone to human error, and often fail to identify underlying defect patterns, thereby necessitating multiple rounds of testing. …”
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Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation by Inhee Go, Yu Fu, Xi Ma, Hong Guo

“…Four convolutional neural networks (CNNs) (i.e., AlexNet, GoogLeNet, ResNet, and VGG) and one vision transformer (ViT) were compared on micrograph datasets of various pigments. …”
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Optical Coherent Tomography-Angiography in the Research of Myopia Complicated by Choroidal Neovascularization by E. A. Drozdova, O. V. Zhiliaeva

“…Two mCNV phenotypes were established: glomerular (44.83 %) and flat (55.17 %) as regularized (18.75 %) and tangled (81.25 %) vascular network patterns. Hypointensive peripheral halo during the entire period of the neovascular complex activity was visualized regardless of the phenotype. …”
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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…Finally, a GCN model integrates these time-frequency features with topological patterns from the connectivity matrix for ADHD classification.ResultsEvaluated on two EEG datasets, the proposed method achieved average accuracies of 97.29% and 96.67%, outperforming comparative models (XGBoost, LightGBM, AdaBoost, random forest). …”
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Beyond the Backbone: A Quantitative Review of Deep-Learning Architectures for Tropical Cyclone Track Forecasting by He Huang, Difei Deng, Liang Hu, Yawen Chen, Nan Sun

“…We categorize all DL-based TC tracking models according to the architecture, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), Transformers, graph neural networks (GNNs), generative models, and Fourier-based operators. …”
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Morphological analysis and functional connectivity of the insular in patients with dysphagia after cerebral infarction based on resting-state fMRI by Ming Guo, Bingjie Li, Jun Zhao, Chen Bai, Weiyong Yu, Hongxia Zhang, Haoyuan Li, Yongxue Yuan, Qingsu Zhang, Tong Zhang

“…However, the mechanisms underlying its structural and functional network reorganization remain elusive. This study aims to systematically investigate the alterations in gray matter volume and functional connectivity patterns of the insula in patients with dysphagia after cerebral infarction using multimodal neuroimaging techniques, and to untangle their clinical associations with swallowing function impairments. …”
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Past, present and future of goal scoring analysis in professional soccer (Pasado, presente y futuro del análisis de goles en el fútbol profesional) by Joaquin Gonzalez Rodenas, Rodrigo Aranda Malaves, Andres Tudela Desantes, Enrique Sanz Ramirez, Josep Crespo Hervas, Rafael Aranda Malaves

“…Currently, the emergence of new research methods such as position data, network analysis, temporal patterns or mixed methods has broadened the possibilities for researchers to capture the complexity of soccer actions and interactions. …”
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Cross-lingual hate speech detection using domain-specific word embeddings. by Ayme Arango Monnar, Jorge Perez Rojas, Barbara Polete Labra

“…Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. …”
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Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output by Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

“…Traditional approaches to gait perception—such as estimating joint angles and walking conditions—often rely on electronic sensors and neural networks, which can compromise wearability and impose high computational demands. …”
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