Subcellular mass spectrometric detection unveils hyperglycemic memory in the diabetic heart by Jiabing Zhan, Yufei Zhou, Yifan Chen, Kunying Jin, Zhaoyang Chen, Chen Chen, Huaping Li, Dao Wen Wang

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A first-principles study on the improved formaldehyde gas-sensing performance of Ni-doped ZnSnO3 by Jianzu Shen, Yuting Yang, Shuying Wu, Zhaoman Zhu, Kun Zha

“…Ni-doped ZnSnO _3 has emerged as a promising material for formaldehyde detection, yet its sensing mechanism remains unclear. …”
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Covariate-adjusted functional data analysis for structural health monitoring by Philipp Wittenberg, Lizzie Neumann, Alexander Mendler, Jan Gertheiss

“…One of its primary purposes is detecting and assessing changes in structure conditions to increase safety and reduce potential maintenance downtime. …”
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Functional properties of barium titanate ceramics alloyed with nickel ferrite by Vladzimir M. Laletin, Natallia N. Poddubnaya, Iliya S. Nabzdorov, Yurij V. Radyush, Li Jin

“…Activation of the sintering process with the addition of ferrite up to ~0.1 mol.% makes it possible to reduce the sintering temperature to 1300 °C and obtain ceramics with high functional characteristics. …”
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Application of novel nanomaterials with dual functions of antimicrobial and remineralization in mouthwashes by Lin Chang, Ruihuan Gan, Xiaoyu Huang, Dali Zheng, Chen Su, Youguang Lu, Yan Feng

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Mechanisms of pyroptosis in modulating osteoblast function under simulated microgravity by Min Wang, Jindong Xue, Songsong Liu, Congncong Xu, Zhen Cao, Haoyang Yu, Xiaojuan Nong, Kexin Huang, Shuling Hu, Yong Guo, Biao Han

“…Conclusion Under simulated microgravity conditions, pyroptosis occurs in osteoblasts and alters their osteogenic differentiation function. Pyroptosis modulates the functionality of osteoblasts and contributes to the mechanical response process, potentially serving as one of the mechanisms underlying mechanical-regulated osteoblast function in a microgravity environment. …”
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Facile and in situ production of reduced graphene oxide nanosheets paste electrode via electrochemical exfoliation of carbon paste electrode for fabricating a VEGF165 tumor marker... by Bahareh Pourbahram, Mojtaba Shamsipur, Samira Mansouri Majd, Leila Samandari

“…The sensitive detection of trace amounts of vascular endothelial growth factor (VEGF165) in samples holds significant potential for clinical cancer diagnosis across various cancer types. …”
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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…Secondly, as the model requires target recognition and segmentation of different types of tasks, an efficient layer aggregation network (RepGFPN) with skip layer connection structure is adopted to optimize the feature fusion part, greatly improving the detection accuracy of the model for different detection tasks while controlling the number of model parameters and inference speed; Finally, to address the detection tasks of three different label shapes, the Inner CIOU loss function is introduced to compensate for the weak generalization ability of the CIoU loss function in different detection tasks. …”
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Incidence of atrial fibrillation in patients with an insertable cardiac monitor and symptomatic heart failure by Muhammad Shahzeb Khan, Michael R. Zile, Rami Kahwash, Shantanu Sarkar, Brian Van Dorn, Jodi Koehler, Noreli Franco, Bart Gerritse, Javed Butler

“…The Kaplan–Meier incidence of AF as a function of episode duration, history of AF, and LVEF were assessed. …”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

“…By leveraging an enhanced Real-Time DEtection TRansformer (RT-DETR) model alongside the Vector Quantized Generative Adversarial Network (VQGAN), our methodology not only enhances flame detection sensitivity and precision but also significantly reduces false alarm frequencies. …”
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Genome analysis of Bifidobacterium adolescentis and investigation of its effects on inflammation and intestinal barrier function by Bo Li, Bo Li, Haoyu Wang, Haoyu Wang, Haoyu Wang, Mengmeng Wang, Mengmeng Wang, Hewei Liang, Hewei Liang, Hewei Liang, Tongyuan Hu, Tongyuan Hu, Tongyuan Hu, Jinlong Yang, Jinlong Yang, Jinlong Yang, Shangyong Li, Xinbi You, Xinbi You, Xinbi You, Binbin Xia, Binbin Xia, Binbin Xia, Yue Yuan, Yue Yuan, Yuanqiang Zou, Yuanqiang Zou, Yinglei Miao, Yinglei Miao, Yang Sun, Yang Sun, Yang Sun

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The relationship between the level of markers of fibrosis ST2, galectin-3, structural, functional parameters of the left ventricle and renal function in patients with ischemic chro... by V. D. Syvolap, D. A. Lashkul

“…Direct correlation between level of the cystatin C and new fibrosis markers (galectin-3, ST2) was detected. In patients with preserved ejection fraction cystatin C had direct correlation with indicators of structural and functional remodeling of the left ventricle (LAVi, LVEDV, RVPs) and reverse with renal function.…”
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HBXIP suppression reduces cell proliferation and migration and its overexpression predicts poor prognosis in non-small-cell lung cancer by Yixuan Wang, Nan Li, Shuanlong Che, Tiefeng Jin, Junjie Piao, Shuangping Liu, Zhenhua Lin

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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

“…However, in complex natural environments, factors such as light variations, shading from branches and leaves, and overlapping disease spots often result in reduced accuracy in detecting apple diseases. To address the challenges of detecting small-target diseases on apple leaves in complex backgrounds and difficulty in mobile deployment, we propose an enhanced lightweight model, ELM-YOLOv8n.To mitigate the high consumption of computational resources in real-time deployment of existing models, we integrate the Fasternet Block into the C2f of the backbone network and neck network, effectively reducing the parameter count and the computational load of the model. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

“…The number of small targets detected by the optimized model is significantly increased compared with the original model, and the size of the smallest targets detected by the optimized model is reduced by about twice compared with the original model. …”
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Calcium dobesilate reduces VEGF signaling by interfering with heparan sulfate binding site and protects from vascular complications in diabetic mice. by Florence Njau, Nelli Shushakova, Heiko Schenk, Vera Christine Wulfmeyer, Robin Bollin, Jan Menne, Hermann Haller

“…However, VEGF is needed at physiological concentrations to maintain glomerular integrity; complete VEGF blockade has deleterious effects on glomerular structure and function. Anti-VEGF therapy in diabetes raises the challenge of reducing VEGF-induced pathology without accelerating endothelial cell injury. …”
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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…To tackle the challenges posed by varying poses and occlusions of tea buds, Shape-IoU was employed as the loss function to improve the scoring of similarly shaped objects, reducing false positives and false negatives while improving the detection of non-rectangular or irregularly shaped objects. …”
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Prevalence and coexistence of locomotive syndrome with reduced mobility and metabolic syndrome: a cross-sectional study of 35,059 Japanese adults by Chihiro Goto, Kohei Maruya, Yasuhiro Morita, Tomoyuki Arai, Satoshi Yamaguchi, Keiko Yamada, Masaru Moriyama, Hideaki Ishibashi, Ryo Nakagawa

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LE-YOLO: A Lightweight and Enhanced Algorithm for Detecting Surface Defects on Particleboard by Chao He, Yongkang Kang, Anning Ding, Wei Jia, Huaqiong Duo

“…A lightweight detection head was further designed, integrating shared convolutional operations with a distribution-aware loss function, thereby substantially improving detection performance in complex textured environments. …”
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ASHM-YOLOv9: A Detection Model for Strawberry in Greenhouses at Multiple Stages by Yan Mo, Shaowei Bai, Wei Chen

“…Haar wavelet downsampling (HWD) was applied to optimize the Adaptive Downsampling module (Adown) of the initial model, thereby increasing the precision of object detection. Finally, the CIoU function was replaced by the Minimum Point Distance based IoU (MPDIoU) loss function to effectively solve the problem of low precision in identifying bounding boxes. …”
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