Impact of noradrenergic inhibition on neuroinflammation and pathophysiology in mouse models of Alzheimer’s disease by Andrew K. Evans, Heui Hye Park, Claire E. Woods, Rachel K. Lam, Daniel Ryskamp Rijsketic, Christine Xu, Emily K. Chu, Peter Ciari, Sarah Blumenfeld, Laura M. Vidano, Nay Lui Saw, Boris D. Heifets, Mehrdad Shamloo

“…The current studies were designed to block noradrenergic signaling in 5XFAD mice through (1) chemogenetic inhibition of the locus coeruleus (LC), (2) pharmacologic blocking of β-adrenergic receptors, and (3) conditional deletion of β1- or β2-adrenergic receptors (adrb1 or adrb2) in microglia. …”
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Polymorphism of ABO*O alleles and its clinical significance by L. L. Golovkina, R. S. Kalandarov, O. S. Pshenichnikova, V. L. Surin, A. G. Stremoukhova, T. D. Pushkina, G. V. Atroshchenko, O. S. Kalmykova, B. B. Khasigova

“…The ABO*O.01.01 allele was detected with a frequency of 67.14 %, other deletion alleles – much less frequently: ABO*O.01.02 and ABO*O.01.11 – 5.71 %, ABO*O.01.26 – 5.00 %, ABO*O.01.12 – 4.30 %, ABO*O.01.13 and ABO*O.01.44 – 1.43 %, ABO*O.01.05, ABO*O.01.46, ABO*O.01.68 – 0.71 % each. …”
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Sensitive and selective electrochemical biosensor based on Manganese(II) complex for simultaneous determination of adenine and guanine from clinical samples and DNA extract samples by Melaku Metto, Alemu Tesfaye, Minaleshewa Atlabachew, Abayneh Munshea, Atakilt Abebe

“…The purines guanine and adenine are essential building blocks for nucleic acids and influence numerous biochemical processes in organisms. …”
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Defect Diagnosis of Photovoltaic Module Visible Light Images Under Imbalanced Sample Conditions by Huiqing Rao, Qiong Li, Long Chen, Sha Jin, Yong Lu, Zhiguang Li

“…To address the issues of high miss and false detection rates in defect detection of PV (photovoltaic) module visible light images under imbalanced data conditions, an improved data augmentation method based on DCGAN (Deep Convolutional Generative Adversarial Networks) is proposed. …”
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Multi-feature fusion and multi-attention deep network for enhancing road extraction in remote sensing images by Haitao Xu, Lin Zhou, Bo Huang, Shiwan Chen

“…Road detection in remote sensing (RS) images plays a critical role in applications ranging from urban planning to autonomous navigation systems. …”
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A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…Accurate segmentation of skin lesions is essential for early detection and successful treatment, yet many current techniques struggle to balance computational efficiency with the ability to capture complex lesion features. …”
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An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds by Yawen Cheng, Ni Ren, Anqi Hu, Lingli Zhou, Chao Qi, Shuo Zhang, Qian Wu

“…Deep learning algorithms such as object detection and segmentation have been widely utilized to extract plant phenotypic parameters. …”
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RESEARCH OF THE TEXT PROCESSING METHODS IN ORGANIZATION OF ELECTRONIC STORAGES OF INFORMATION OBJECTS by Olesia Barkovska, Viktor Khomych, Oleksandr Nastenko

“…The following results were obtained: in the course of the research fulfillment the generalized model of the scanned documents classification system that consist of image processing unit and text processing unit that include unit of the scanned image previous processing; text detection unit; previous text processing; compiling of the frequency dictionary; text proximity detection was offered. …”
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Photoluminescent Device for Monitoring Fusarium Infection in Seeds by M. N. Moskovsky, M. V. Belyakov, I. Yu. Efremenkov

“…Plant diseases reduce crop yields and can significantly undermine the sustainability of the agricultural sector. Early detection is crucial for effective disease control and management. …”
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Denoising Algorithm for High-Resolution and Large-Range Phase-Sensitive SPR Imaging Based on PFA by Zihang Pu, Xuelin Wang, Wanwan Chen, Zhexian Liu, Peng Wang

“…We present an enhanced SPR phase imaging system combining a quad-polarization filter array for phase differential detection with a novel polarization pair, block matching, and 4D filtering (PPBM4D) algorithm to extend the dynamic range and enhance resolution. …”
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SG-ResNet: Spatially Adaptive Gabor Residual Networks with Density-Peak Guidance for Joint Image Steganalysis and Payload Location by Zhengliang Lai, Chenyi Wu, Xishun Zhu, Jianhua Wu, Guiqin Duan

“…Image steganalysis detects hidden information in digital images by identifying statistical anomalies, serving as a forensic tool to reveal potential covert communication. …”
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Study of Self-lensing/Eclipsing Signals in Edge-on Double White-dwarf Systems by Sedighe Sajadian

“…Detecting these signals by LSST is barely possible because of its long cadence.…”
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Primates decline rapidly in unprotected forests: evidence from a monitoring program with data constraints. by Francesco Rovero, Arafat Mtui, Amani Kitegile, Philipo Jacob, Alessandro Araldi, Simone Tenan

“…We counted primate social groups along eight line transects in two forest blocks in the area, one protected and one unprotected, over a span of 11 years. …”
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Leveraging Deep Learning and Internet of Things for Dynamic Construction Site Risk Management by Li-Wei Lung, Yu-Ren Wang, Yung-Sung Chen

“…Key innovations, such as perspective projection coordinate transformation (PPCT) and the security assessment block module (SABM), further enhance hazard detection and warning generation accuracy and reliability. …”
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Design of an Intelligent Pear Bagging End-Effector Based on Yolov8 and SGBM Algorithm by Jing Ruijun, Liu JingKai, LiXin, ZhiguoZhao

“…We describe an intelligent bagging end-effector for pears, which employs the Yolov8 algorithm for fruitlets detection and the Semi-Global Block Matching (SGBM) algorithm to acquire three-dimensional spatial information of the targets. …”
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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

“…Subsequently, we developed four novel residual block and self-attention mechanisms, named residual block-deep convolutional neural network (3-RBNet), 5-RBNet, 7-RBNet, and 9-RBNet self-attention models. …”
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DermaTransNet: Where Transformer Attention Meets U-Net for Skin Image Segmentation by Anum Abdul Salam, Muhammad Usman Akram, Muhammad Haroon Yousaf, Babar Rao

“…The proposed Transformer-based encoder block has helped the model preserve global and local features, which are then passed to the decoder block through an attention-based gated skip connection. …”
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Diabetic Retinopathy Assessment through Multitask Learning Approach on Heterogeneous Fundus Image Datasets by Hongkang Wu, MS, Kai Jin, MD, PhD, Yiyang Jing, MD, Wenyue Shen, MD, Yih Chung Tham, PhD, Xiangji Pan, PhD, Victor Koh, MD, PhD, Andrzej Grzybowski, MD, PhD, Juan Ye, MD, PhD

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Diagnostic accuracy of SARS-CoV-2 antigen test in the pediatric population: A systematic review and meta-analysis by Cheng-Chieh Chen, Shih-Yen Chen, Shiuh-Bin Fang, Shou-Cheng Lu, Chyi-Huey Bai, Yuan-Hung Wang

“…Conclusion: Antigen tests exhibit moderate sensitivity and high specificity for detecting SARS-CoV-2 in children. Antigen tests might have moderate sensitivity for detecting SARS-CoV-2 in symptomatic children, and serial testing might effectively prevent further SARS-CoV-2 transmission.…”
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The Effects of M2 Macrophages-Derived Exosomes on Urethral Fibrosis and Stricture in Scar Formation by Ren X, Wang Z, Wang J, Li X, Wei H, Liu C, Liu S, Zhu Y, Feng C, Yin Y, Tian Y, Wu M, Zeng X

“…Then, high-throughput micro-RNA (miRNA) sequencing was performed to detect the candidate exosomal miRNA and its target gene. …”
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