Ultrasound thyroid nodule segmentation algorithm based on wavelet transform and CNN-Transformer by ZHENG Shuijing, YANG Jun, CAI Yujiao

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A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting by Zihan Liu, Zijia Zhang, Weizhe Zhang

“…The core of our approach is a novel multi-scale prediction mechanism that combines the strengths of both model types to better capture short-range patterns and long-range dependencies. We design a dual-stage forecasting process, where a classical time series component first models transparent linear trends and seasonal patterns, and a deep neural network then learns complex nonlinear residuals and long-term contexts. …”
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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…Single-cell analysis revealed distinct spatial distribution patterns between T cells and epithelial cells. The ProjecTILs algorithm identified a higher proportion of Th1 cells, while Graph Convolutional Network (GCN) analysis showed no significant differences in T cell subtype proportions across different phenotypes. …”
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Update of safety profile of bile acid sequestrants: A real-world pharmacovigilance study of the FDA adverse event reporting system. by Wangqi Chen, Yuxia Xie, Qinghua Li, Zhenghui Zhu, Xinyan Li, Hong Zhu

“…<h4>Conclusion</h4>This large-scale FAERS study updates the safety profiles of BASs, highlighting distinct risk patterns and delayed complications. The findings support personalized monitoring strategies that consider both drug-specific characteristics and temporal AE patterns.…”
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Anamnestic, clinical, and dermoscopic predictors of malignancy in melanocytic lesions with peripheral globules: a retrospective study by Enrico Zelin, Vanessa Mazzoletti, Jessica Paladin, Andrea Corio, Raffaele Dante Caposiena Caro, Giulia Bazzacco, Enzo Errichetti, Nicola Di Meo, Iris Zalaudek

“… Melanocytic lesions with peripheral globules (MLPGs) usually represent lesions in an active growth phase and should be carefully evaluated in adults and the elderly, since melanoma can rarely present with this pattern. …”
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RelayGAN: Sequential knowledge propagation for sustainable multi-generation by Namkyung Yoon, Hwangnam Kim

“…To evaluate the effectiveness of RelayGAN, we conducted extensive experiments using quantitative methods. …”
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Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility by Vasileios Volakakis, Hani S. Mahmassani

“…The proposed framework is illustrated through applications in the Chicago Metropolitan Area, with the demand estimated on the basis of existing taxi and Transportation Network Company (TNC) data.…”
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Digital Monitoring and Tracking System with IoT Technology for Elderly Patients by Muhammad Fareez Haziq Eddie Wan, Zuhairiah Zainal Abidin, Aizan Ubin, Huda A. Majid

“…This study aimed to design a system utilizing an ESP8266 microcontroller, GPS, and MPU6050 sensors to observe and record the movement patterns of elderly patients. A scale prototype was developed by integrating an MPU6050 IMU sensor and a GPS module with an ESP8266 module configured for Wi-Fi communication with a nearby server. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…We construct an abnormal gait dataset comprising seven distinct gait classes to train and evaluate the proposed network. Experimental results demonstrate that the proposed method achieves an average recognition accuracy of 95%, surpassing classical baseline models by at least 2%.…”
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Perspectives on the pH-Influenced Design of Chitosan–Genipin Nanogels for Cell-Targeted Delivery by Julieta D. Glasman, Agustina Alaimo, Cecilia Samaniego López, María Edith Farías, Romina B. Currá, Diego G. Lamas, Oscar E. Pérez

“…Kinetic modelling showed a sigmoidal formation pattern, suggesting nucleation, growth, and stabilisation. …”
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ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation by Javier Noa Turnes, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi

“…Processing synthetic aperture radar images for sea ice mapping using deep learning is typically constrained to analyzing neighboring pixels rather than studying visual patterns at a large scale. This quality ignores the wide within-class variance and spatial nonstationary class statistics observed by covering complete scenes. …”
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Similarity Function for One-Shot Learning to Enhance the Flexibility of Myoelectric Interfaces by Xiang Wang, Xu Zhang, Xiang Chen, Xun Chen, Zhao Lv, Zhen Liang

“…<inline-formula> <tex-math notation="LaTeX">$\textit {Objective:}$ </tex-math></inline-formula> This study aims to develop a flexible myoelectric pattern recognition (MPR) method based on one-shot learning, which enables convenient switching across different usage scenarios, thereby reducing the re-training burden. …”
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Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis by Chun-Wang Su, Chun-Wang Su, Yurui Tang, Nai-Long Tang, Nai-Long Tang, Nian Liu, Nian Liu, Jing-Wen Li, Shun Qi, Hua-Ning Wang, Zi-Gang Huang, Zi-Gang Huang

“…The effects of rTMS intervention on these networks were also evaluated.ResultsOur findings revealed notable dynamical alterations in the pDMN, the vDMN, and the aSN, suggesting their potential as diagnostic and therapeutic markers. …”
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Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture by Víctor Hugo de la Cruz Madrigal, Liliana Avelar Sosa, Jose-Manuel Mejía-Muñoz, Jorge Luis García Alcaraz, Emilio Jiménez Macías

“…The network architecture integrates convolutional layers for feature extraction and dense layers for classification, thereby enhancing its ability to identify disruption-related patterns. …”
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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…Convolutional neural network (CNN) architectures were used to classify movement patterns. …”
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SRCPAR&#x2014;Spike Response-Based Congestion Prediction for Adaptive Routing for 2D NoCs by Rajendra Singh, Manoj Kumar Bohra, Ashish Sharma, Sourabh Singh Verma, Devershi Pallavi Bhatt, Amit Kumar Bairwa, Masoud Daneshtalab

“…It leverages spike information alongside the local congestion data to accurately predict network congestion. Performance is evaluated using metrics such as average latency and throughput. …”
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Altered internetwork functional connectivity and graph analysis of occipital regions in patients with chronic rhinosinusitis accompanied by olfactory dysfunction by Hongmei Kuang, Shunda Hong, Yeyuan Chen, Hao Peng, Zihan Li, Yangyang Xie, Wanqing Zhou, Suhong Qin, Jing Ru, Jian Jiang

“…These results imply that distinct brain network patterns, particularly in the occipital cortex, could be a valid neuroimaging marker for related diagnosis and prognosis of CRSsOD and CRSwOD patients, and contribute to our better understanding of the central neural mechanisms of CRSwOD, providing new ideas for the clinical management of CRSwOD.…”
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A real-time predictive postural control system with temperature feedback by Yaoyu Duan, Huimin Jiao, Dangxiao Wang, Xingwei Guo

“…An Long Short-Term Memory (LSTM) neural network with a sliding window method is incorporated to predict the posture patterns of the next state. …”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Transfer learning from NMC to APTOS notably improved severity classification, achieving performance gains of 15.2% in mild cases and 66.3% in severe cases through feature fusion using Bidirectional Feature Pyramid Network (BiFPN) and Feature Pyramid Network (FPN). …”
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The Role of Urinary Microbiome Analysis in the Diagnostic Approach and Management of Urinary Incontinence: A Systematic Review by Pouyan Shaker, Zohreh Roshani, Ehsan Timajchi, Zahra Sharifi, Sarah Nikzadfar Goli, Behrooz Broumand, Mohammad Ali Shafiee

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