Construction of a Novel Necroptosis-Related Signature in Rat DRG for Neuropathic Pain by Liu Y, Hao S, Hao H, Zheng G, Bing J, Kang L, Li J, Zhao H, Hao H

“…Go and KEGG analysis, interaction network and immune infiltration were used to analyze the biological function of the signature.Results: A predictive signature targeting rat DRG for neuropathic pain through a variety of methods to verify the accuracy was developed based on 3 NRDEGs (TLR4, CAPN2, RIPK3). …”
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ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet by Minyoung Park, Seungtaek Oh, Junyoung Park, Taikyeong Jeong, Sungwook Yu

“…The model was evaluated on the MICCAI HECKTOR dataset, and additional validation was conducted on selected tasks from the Medical Segmentation Decathlon (MSD). …”
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Transformer-Guided Serial Knowledge Distillation for High-Precision Anomaly Detection by Danyang Wang, Bingyan Wang

“…This three-stage architecture consists of a fixed pretrained teacher network serving as the upstream feature extractor, a dedicated multi-feature aggregation and filtering module integrated with Vision Transformer components as the intermediate processor, and a trainable student network functioning as the downstream reconstruction module. …”
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Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels by Efrain Padilla-Zepeda, Kevin Alonso, Raquel De Los Reyes, Deni Torres-Roman, Avi Putri Pertiwi, Tobias Storch

“…This article presents a method to improve pixel-level classification of Sentinel-2 imagery by integrating spectral index-based masking with deep learning approaches using 1-D, 2-D, and 3-D convolutional neural networks (CNN1D, CNN2D, and CNN3D). Rather than relying on manually labeled data, the proposed method selects high-quality training samples from Python-based atmospheric correction software (PACO), using pixel selection strategies to remove ambiguous or inconsistent labels. …”
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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…Then, four machine learning algorithms and three deep learning networks are evaluated to determine the best predictive model. …”
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The relationship between chemokines CCL2, CCL3, and CCL4 with the tumor microenvironment and tumor-associated macrophage markers in colorectal cancer by Marjorie De la Fuente López, Glauben Landskron, Daniela Parada, Karen Dubois-Camacho, Daniela Simian, Maripaz Martinez, Diego Romero, Juan Carlos Roa, Isidora Chahuán, Rocío Gutiérrez, Francisco Lopez-K, Karin Alvarez, Udo Kronberg, Sebastian López, Antonella Sanguinetti, Natalia Moreno, Mario Abedrapo, María-Julieta González, Rodrigo Quera, Marcela A Hermoso-R

“…Correlation analysis between chemokines and macrophage markers and clinicopathological features were performed using Spearman’s test. Plasmatic levels of chemokines and inflammatory mediators’ vascular endothelial growth factor and tumor necrosis factor-α were evaluated by Luminex. …”
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To explore the potential of LOXL2 as a biomarker in glioma and construct a genomic integrated clinical prognostic model by Hongjuan Wang, Qunli Li, Xiangtao Zheng, Weibiao Chen

“…BackgroundGlioma is a common invasive tumor of the central nervous system, and its pathological features significantly impair the quality of life of patients, with high mortality risk and easy recurrence. …”
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Using Artificial Intelligence-informed Experience-Based Co-Design (AI-EBCD) to create a virtual reality-based mindfulness application to reduce diabetes distress: protocol for a mi... by Angeliki Bogosian, Glenn Robert, Siobhan O'Connor, Jackie Sturt, Emma Stanmore, David Woodcock, Nicola Milne, Womba Mubita, Shraboni Ghosal, Mengying Zhang

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YOLO-RWY: A Novel Runway Detection Model for Vision-Based Autonomous Landing of Fixed-Wing Unmanned Aerial Vehicles by Ye Li, Yu Xia, Guangji Zheng, Xiaoyang Guo, Qingfeng Li

“…Second, a large separable kernel attention (LSKA) module is integrated into the backbone structure to provide a lightweight attention mechanism with a broad receptive field, enhancing feature representation. Third, the neck structure is reorganized as a bidirectional feature pyramid network (BiFPN) module with skip connections and attention allocation, enabling efficient multi-scale and across-stage feature fusion. …”
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A novel framework for segmentation of small targets in medical images by Longxuan Zhao, Tao Wang, Yuanbin Chen, Xinlin Zhang, Hui Tang, Fuxin Lin, Chunwang Li, Qixuan Li, Tao Tan, Dezhi Kang, Tong Tong

“…We evaluated the proposed network on four publicly available datasets. …”
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Assessment of NUDT5 in Endometrial Carcinoma: Functional Insights, Prognostic and Therapeutic Implications by Hongfei Yu, Lingling Zu, Yuqin Zang, Fei Teng, Tao Wang, Ming Wu, Yingmei Wang, Fengxia Xue

“…Immunohistochemistry was used to evaluate NUDT5 protein levels and their correlation with clinicopathological features. …”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

“…In the proposed model, Level 1 generates class probabilities from two transformer models for training and testing sets, which are then used in Level 2 to train and evaluate a meta-learner. The stacking model compares various models, including long-short-term memory (LSTM), gated recurrent units (GRU), convolutional neural network (CNN), and two transformer models using different word embedding. …”
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Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection by Shiza Latif, Naeem Ul Islam, Zaki Uddin, Khalid Mehmood Cheema, Syed Sohail Ahmed, Muhammad Farhan Khan

“…Our proposition involves the data augmentation of textual data; after this, we deploy our proposed BERT-based deep learning model to make use of its advanced capabilities for improved feature extraction and text comprehension. Our proposed model is a two-branch network. …”
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The first category, convolutional neural network (CNN), accounts for 70% (n=21/30). The second category, recurrent neural network (RNN), accounts for 10% (n=3/30). …”
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The potential of carbon emission reduction through the transition to battery electric vehicles by W. Kongwee, W. Achariyaviriya, D. Rinchumphu, P. Suttakul, A. Achariyaviriya, N. Chanpichaigosol, V. Vichiensan, M. Kii, P. Iamtrakul, Y. Hayashi

“…Subsequently, scenarios were created by analyzing the proportions of internal combustion engine vehicles in relation to battery electric vehicles on the network to evaluate carbon emissions.FINDINGS: The model captures general travel behavior trends. …”
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Altered Local Spontaneous Brain Activity in Juvenile Myoclonic Epilepsy: A Preliminary Resting-State fMRI Study by Sisi Jiang, Cheng Luo, Zhixuan Liu, Changyue Hou, Pu Wang, Li Dong, Chengqing Zhong, Yongxiu Lai, Yang Xia, Dezhong Yao

“…The purpose of this study was to evaluate the regional synchronization of brain in patients with juvenile myoclonic epilepsy (JME). …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…SHapley Additive exPlanations (SHAP) were used to explain the models and evaluate feature contributions.ResultsThe analysis revealed that features related to speech instability, such as jitter, shimmer, and NHR, were highly predictive of PD. …”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…Despite the abundance of deep learning networks for fusing these images, the results often suffer from spectral information loss or structural blurring. …”
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Optimization of Decision Support Technology for Offshore Oil Condition Monitoring with Carbon Neutrality as the Goal in the Enterprise Development Process. by Shiya Gao, Xin Guan, Xiaojing Cao, Zhili Bai, Caimeng Wang, Yun Zhan, Haiyang Yu

“…This model utilizes the MobileNet v2 network to extract rich feature information from input images and combines the Faster R-CNN algorithm to rapidly and accurately generate candidate regions for oil condition monitoring, followed by detailed feature fusion and classification of these regions. …”
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Early diagnosis, disease stage and prognosis in wild‐type transthyretin amyloid cardiomyopathy: The DIAMOND study by Giacomo Tini, Beatrice Musumeci, Paolo Milani, Mattia Zampieri, Angelo Giuseppe Caponetti, Francesca Fabris, Andrea Foli, Alessia Argirò, Carlotta Mazzoni, Christian Gagliardi, Simone Longhi, Giulia Saturi, Giuseppe Vergaro, Alberto Aimo, Ludovica De Fazio, Guerino Giuseppe Varrà, Matteo Serenelli, Gioele Fabbri, Laura De Michieli, Giuseppe Palmiero, Giuseppe Ciliberti, Samuela Carigi, Margherita Zanoletti, Giulia Elena Mandoli, Giulia Ricci Lucchi, Valeria Rella, Enrico Monti, Elisa Gardini, Michela Bartolotti, Lia Crotti, Elisa Merli, Roberta Mussinelli, Pier Filippo Vianello, Matteo Cameli, Francesca Marzo, Federico Guerra, Giuseppe Limongelli, Alberto Cipriani, Stefano Perlini, Laura Obici, Federico Perfetto, Emanuele Barbato, Italo Porto, Gianfranco Sinagra, Marco Merlo, Michele Emdin, Elena Biagini, Francesco Cappelli, Giovanni Palladini, Marco Canepa

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