Relationship Between Voice Analysis and Functional Status in Patients with Amyotrophic Lateral Sclerosis by Margarita Pérez-Bonilla, Paola Díaz Borrego, Marina Mora-Ortiz, Roberto Fernández-Baillo, María Nieves Muñoz-Alcaraz, Fernando J. Mayordomo-Riera, Eloy Girela López

“…Voice analysis has emerged as a promising tool for detecting disease progression and monitoring functional status. …”
Get full text

Evaluating the effects of coffee consumption on the structure and function of the heart from multiple perspectives by Xiong-Bin Ma, Yan-Lin Lv, Lin Qian, Jing-Fen Yang, Qian Song, Yong-Ming Liu

“…ObjectiveTo assess the causal relationship between coffee consumption and cardiac structure and function in elderly European populations using multiple genetic methodologies.MethodsLeveraging genome-wide association study (GWAS) data from elderly European populations, we conducted linkage disequilibrium score regression (LDSC), two-step Mendelian randomization (MR), and colocalization analyses to investigate genetic associations, causal relationships, and mediating effects among these factors. …”
Get full text

Expression of MTA1 in preeclamptic placental tissue and its effects on trophoblast function by GENG Yao, ZHANG Yang, ZHAO Jie, LI Wei, CAI Guoqing

“…Objective·To investigate the expression of metastasis-associated protein 1 (MTA1) in placental tissues of preeclampsia (PE) patients and its impact on trophoblast cell function.Methods·Placental specimens were collected from pregnant women with PE (PE group, 20 cases) patients and healthy pregnant women as controls (control group, 35 cases). …”
Get full text

Walnut Surface Defect Classification and Detection Model Based on Enhanced YOLO11n by Xinyi Ma, Zhongjia Hao, Shuangyin Liu, Jingbin Li

Get full text

YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…Accurate identification of eggplants and their stems in complex environments is crucial for the research on intelligent harvesting equipment for eggplants. Current object detection methods have limited and traditional approaches to eggplant research. …”
Get full text

AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes by Na Ma, Na Ma, Na Ma, Yile Sun, Yile Sun, Chenfei Li, Chenfei Li, Zonglin Liu, Zonglin Liu, Haiyan Song, Haiyan Song

“…Next, shared weight parameters are introduced in the head network, and group convolution is applied to achieve a lightweight detection head. Finally, the boundary box loss function is changed to Generalized Intersection over Union (GIoU), improving the model’s convergence speed and further enhancing detection performance.ResultsExperimental results show that the AHG-YOLO model achieves 93.5% (FCC), 95.3% (NO), and 93.4% (OBL) in AP, with an mAP@0.5 of 94.1% across all categories. …”
Get full text

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

“…In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures. …”
Get full text

Development and Application of Small Object Visual Recognition Algorithm in Assisting Safety Management of Tower Cranes by Xiao Sun, Xueying Lu, Yao Wang, Tianxiao He, Zhenghong Tian

“…To address these limitations, the algorithm is enhanced by incorporating an additional small object detection layer, implementing an attention mechanism, and modifying the loss function. …”
Get full text

Enhanced thyroid nodule detection and diagnosis: a mobile-optimized DeepLabV3+ approach for clinical deployments by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

“…ObjectiveThis study aims to enhance the efficiency and accuracy of thyroid nodule segmentation in ultrasound images, ultimately improving nodule detection and diagnosis. …”
Get full text

Simulating Self-lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves by Sedighe Sajadian, Niayesh Afshordi

“…The shape of a self-lensing signal is a degenerate function of stellar radius and the compact object’s mass because the self-lensing peak strongly depends on the projected source radius normalized to the Einstein radius. …”
Get full text

Copper Nodule Defect Detection in Industrial Processes Using Deep Learning by Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing

Get full text

Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…In the detection module, we introduce the innovative MSN-YOLO model, which combines the C2f_MLCA module, the Detect_SEAM module, and the NWD loss function to enhance feature fusion and improve cross-scale information processing. …”
Get full text

Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach by Cheryl Chu, Yi-Fei Gu, Adrian Wong, Bayden D. Russell

“…While deep learning has shown promise for sea cucumber detection, factors like object occlusions, limited ambient light, and turbid environmental conditions hamper model generalizability. …”
Get full text

Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…A Multi-scale Feature Fusion (MFF) mechanism, combining features from the Backbone, Feature Pyramid Network (FPN), and Path Aggregation Network (PAN), to better handle objects at multiple scales. A new Powerful Intersection over Union (PIoU) loss function that emphasizes spatial consistency and positional accuracy, replacing the standard CIoU loss.ResultsExperimental evaluations show that Rice-SVBDete achieves a precision of 0.789, recall of 0.771, and mean Average Precision (mAP@.5) of 0.728 at an IoU threshold of 0.50. …”
Get full text

A Study of Potential Applications of Student Emotion Recognition in Primary and Secondary Classrooms by Yimei Huang, Wei Deng, Taojie Xu

“…Firstly, the study adds the self-made MCC module and the Wise-IoU loss function to make object detection in the YOLOv8 model more accurate and efficient. …”
Get full text

FM‐YOLOv8:Lightweight gesture recognition algorithm by Fanghai Li, Xitai Na, Jinshuo Shi, Qingbin Sun

Get full text

LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions by Cheng Ju, Yuxin Chang, Yuansha Xie, Dina Li

“…Autonomous driving faces significant object detection challenges under complex backgrounds characterized by dense scenes, object occlusion, long-range targets, and extreme weather conditions. …”
Get full text

Distinguishing Difficulty Imbalances in Strawberry Ripeness Instances in a Complex Farmland Environment by Yang Gan, Xuefeng Ren, Huan Liu, Yongming Chen, Ping Lin

Get full text

Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

Get full text

Side-hop test can detect deficits in knee functional ability in male athletes following anterior cruciate ligament reconstruction compared to a control group during a battery test... by Claudio Legnani, Martina Faraldi, Matteo Del Re, Giuseppe Peretti, Giuseppe Peretti, Alberto Ventura

“…Side-hop test can help detecting functional deficits following ACL surgery, thus contributing to estimate athletes' lower limb recovery capacity.…”
Get full text