Multi-scale information fusion and decoupled representation learning for robust microbe-disease interaction prediction by Wentao Wang, Qiaoying Yan, Qingquan Liao, Xinyuan Jin, Yinyin Gong, Linlin Zhuo, Xiangzheng Fu, Dongsheng Cao

“…Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models’ generalizability. …”
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A Snow Depth Downscaling Algorithm Based on Deep Learning Fusion of Enhanced Passive Microwave and Cloud-Free Optical Remote Sensing Data in China by Zisheng Zhao, Xiaohua Hao, Donghang Shao, Wenzheng Ji, Tianwen Feng, Qin Zhao, Wenxin He, Liyun Dai, Zhaojun Zheng, Yan Liu

“…In this study, we develop a superior SD downscaling algorithm based on the FT-Transformer (Feature Tokenizer + Transformer) model, termed FTSD. …”
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A Hybrid Dynamic/Steady-State Tool With Protection Simulation for Cascading-Outage Analysis of Extreme Events in Power Systems by Bharat Vyakaranam, Nader A. Samaan, Yuri V. Makarov, Tony Nguyen, Yousu Chen, Jeff Dagle, Xiaoyuan Fan, Mallikarjuna R. Vallem, Jose Conto, Sun Wook Kang

“…DCAT has several unique features: (1) detailed hybrid dynamic and steady-state analysis of power systems to mimic real-world cascading outages, (2) detailed modeling of protection systems embedded in the dynamic simulation, (3) simulation of corrective action after transients, (4) simulation of islanding, and (5) high-performance computing capability to simulate a large number of contingencies in a reasonable time. …”
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DAShip: A Large-Scale Annotated Dataset for Ship Detection Using Distributed Acoustic Sensing Technique by Wenjin Huang, Shaoyi Chen, Yichang Wu, Ruihua Li, Tianrui Li, Yihua Huang, Xiaochun Cao, Zhaohui Li

“…In this proposed framework, YOLO models, primarily trained on DAShip, are used as ship detectors and ship feature classifiers, achieving accurate dark ship detection combined with AIS message and demonstrating competitive performance in ship feature classification.…”
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PSDA: Pyramid Spatial Deformable Aggregation for Building Segmentation in Multiview Remote Sensing Images by Xuejun Huang, Yi Wan, Yongjun Zhang, Xinyi Liu, Bin Zhang, Yameng Wang, Haoyu Guo, Yingying Pei, Zhonghua Hu

“…As increasingly more deep learning models are designed and implemented, the performance of single-view image semantic segmentation is approaching its upper limit. …”
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Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu H. Gumaei

“…Despite existing methodologies based on deep learning models, it remains difficult to distinguish between a tumour region and a normal brain tissue. …”
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Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation by Longxuan Wei, Yutao Zhu, Yufeng Li, Ming Qian, Xiang Zuo, Boan Chen, Shiyu Liang, Zhouhan Lin, Junchi Yan

“…We present a specialized object counting dataset and a joint method that enhances multi-object tracking performance by focusing on both detection and tracking. …”
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Frequency Spectrum Adaptor for Remote Sensing Image–Text Retrieval by Ziyi Wan, Enyuan Zhao, Jie Nie, Ze Zhang, Zhiqiang Wei, Nan Zheng, Yuting Zhao

“…Existing RSITR methods primarily focus on directly adopting pretrained models and performing transfer learning through fine-tuning, neglecting the complex high-dimensional structured information present in RS images, where texture, color, scale, and semantics are tightly coupled. …”
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Broadening the <i>PHIP</i>-Associated Neurodevelopmental Phenotype by Giulia Pascolini, Giovanni Luca Scaglione, Balasubramanian Chandramouli, Daniele Castiglia, Giovanni Di Zenzo, Biagio Didona

“…In this child, we found a novel <i>PHIP</i> pathogenetic variant, which we corroborated through a protein modeling approach. The F2G platform supported the initial clinical hypothesis of a PTHS-like condition, while the clinical review highlighted the lack of the main frequent CHUJANS clinical features in this child. …”
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Identification of an immunological signature of long COVID syndrome by Gisella Guerrera, Manolo Sambucci, Eleonora Timperi, Mario Picozza, Andrea Misiti, Andrea Misiti, Roberta Placido, Silvia Corbisiero, Silvia D’Orso, Andrea Termine, Carlo Fabrizio, Francesca Gargano, Sharon Eleuteri, Luisa Marchioni, Veronica Bordoni, Luigi Coppola, Marco Iannetta, Chiara Agrati, Giovanna Borsellino, Luca Battistini

“…A Binomial Generalized Linear Model (BGLM) was used to pinpoint immune features characterizing LC.ResultsCOVID-19 patients exhibited depletion of innate immune cell subsets, including plasmacytoid and conventional dendritic cells, classical, non-classical, and intermediate monocytes, and monocyte-derived inflammatory dendritic cells. …”
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A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression by John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis

“…We propose two novel models, namely, the <i>C_Shape.Net</i> and the predictor network. …”
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Regional hippocampal thinning and gyrification abnormalities and associated cognition in children with prenatal alcohol exposure by Blake A. Gimbel, Jeffrey R. Wozniak, Bryon A. Mueller, Kent A. Tuominen, Abigail M. Ernst, Mary E. Anthony, Erik de Water, the CIFASD, Donovan J. Roediger

“…Also in the PAE group, lower episodic memory performance was associated with thinness in the right hippocampus, especially in the subiculum region. …”
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Single-pixel terahertz imaging with enhanced edge detection using angular momentum of structured light by Sergej Orlov, Kasparas Stanaitis, Paulius Kizevičius, Paulius Šlevas, Ernestas Nacius, Linas Minkevičius, Gintaras Valušis

“…Through comprehensive experimental studies supported by numerical modeling, we reveal distinct features of structured THz light induced by angular momentum. …”
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An experimental and computational investigation of Thulium doped TiO2 as n-type material for potential application in bulk heterojunction organic solar cells by Dieketseng Tsotetsi, David O. Idisi, Nicholas Rono, Edson L. Meyer, Evans M. Benecha, Pontsho Mbule, Mokhotjwa Dhlamini

“…The best performing modelled device with Tm(III)-doped TiO2 (1.0 mol%) as ETL attained a PCE of 21.83%, Voc of 1.54 V, Jsc of 31.87 mA cm− 2 and FF of 44.44% which was attributed to better charge transfer characteristics and effective band alignment between the ETL and absorber, thus, better efficiency. …”
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Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset by Xiangqing Zhang, Yan Feng, Nan Wang, Guohua Lu, Shaohui Mei

“…However, existing person detection models designed for aerial images heavily rely on numerous labeled instances and exhibit limited tolerance towards complex lighting conditions commonly encountered in search and rescue (SaR) scenarios. …”
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FEMININE LEADERSHIP AND CHALLENGES IN THE BUSINESS SECTOR. CASE STUDY: CALARASI COUNTY, ROMANIA by Daniela CREȚU, Radu Andrei IOVA, Oana Roberta CREȚU, Elena LASCĂR

“…This approach allowed a detailed and specific analysis of the distinctive features of female leadership in entrepreneurship in Călărași. …”
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Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study by Somayeh Ghiasi Hafezi, Atena Ghasemabadi, Negar Soleimani, Maryam Allahyari, Mina Moradi, Amin Mansoori, Rana Kolahi Ahari, Mark Ghamsary, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…Feature importance analysis reveals variables like “BSA” contribute differently across models, with XGBoost relying more on it than LR. …”
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Sustainable AI for plant disease classification using ResNet18 in few-shot learning by Fareeha Naveed, Adven Masih, Jabar Mahmood, Moeez Ahmed, Aitizaz Ali, Aysha Saddiqa, Mohamed Shabbir Hamza Abdulnabi, Ebenezer Agbozo

“…The experimental findings indicate that the proposed combination of pretraining through ResNet18 with Prototypical Networks achieved an impressive accuracy of 93% and 75% on PlantVillage. The proposed model’s performance was further evaluated on rice disease data where it achieves the average accuracy of 75%. …”
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Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine lea... by Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

“…Finally, a cross-validation performance analysis was conducted using a machine learning model and good accuracy was obtained. …”
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Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection by Md. Najmul Mowla, Davood Asadi, Shamsul Masum, Khaled Rabie

“…Leveraging Explainable Artificial Intelligence (XAI) techniques, the model provides interpretable insights into decision-making processes.…”
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