A trade-off between line hardening and dynamic line rating by a new convex optimization model for resilient micro-grid-oriented expansion planning of reconfigurable smart distribut... by Saeed Behzadi, Amir Bagheri

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Study on Outdoor Spectral Inversion of Winter Jujube Based on BPDF Models by Yabei Di, Jinlong Yu, Huaping Luo, Huaiyu Liu, Lei Kang, Yuesen Tong

“…To address this problem, this study proposes a correction method for outdoor spectral inversion based on the bidirectional polarization reflectance distribution function (BPDF) model. It was used to enhance the detection accuracy of water content and soluble solid (SSC) content of winter jujube. …”
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Finding RB/Rpi-blb1/Rpi-sto1-like sequences in conventionally bred potato varieties by O. Y. Antonova, N. S. Klimenko, Z. Z. Evdokimova, L. I. Kostina, T. A. Gavrilenko

“…At the same time there is a high probability of finding geno types with the Rpi-sto1 gene (functional homologues of  Rpi-blb1) among conventionally bred varieties because for about 40 years S. stoloniferum has been used in breeding as a source of the Rysto and Ry-fsto genes of the extreme resistance to the most important viral pathogen PVY. …”
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Comprehensive Identification of Long Non-coding RNAs in Purified Cell Types from the Brain Reveals Functional LncRNA in OPC Fate Determination. by Xiaomin Dong, Kenian Chen, Raquel Cuevas-Diaz Duran, Yanan You, Steven A Sloan, Ye Zhang, Shan Zong, Qilin Cao, Ben A Barres, Jia Qian Wu

“…Overall, our results substantiated the role of lncRNA in OPC fate determination and provided an unprecedented data source for future functional investigations in CNS cell types. …”
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Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI by Duc My Vo, Anees Abrol, Zening Fu, Vince D. Calhoun

“…<b>Background:</b> In functional magnetic resonance imaging (fMRI), functional network connectivity (FNC) captures temporal coupling among intrinsic connectivity networks (ICNs). …”
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Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

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Combination of Cu-BTC- and FeCo-MOF-Derived Carbon Enhanced Molecularly Imprinted Electrochemical Sensor for Highly Sensitive and Selective Detection of Benomyl in Fruits and Veget... by Lili Chen, Shuya Xue, Xin Li, Linbo Deng, Jiapeng Li, Jing Zhou, Yansha Gao, Xuemin Duan, Limin Lu

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Impact of Ramadan fasting on kidney function and related outcomes in chronic kidney disease and kidney transplant recipients: a systematic review and meta-analysis by Julia Kurzawa, Michelle E Olah, Anita Lloyd, Syed Habib, Uwais Qarni, Soroush Shojai, Mohamed Abdullahi Osman, Aminu Kasarawa Bello, Thane Chambers, Zahraa Habeeb, Robert Peter Pauly

“…Its consequences on kidney-relevant outcomes in patients with chronic kidney disease (CKD) and kidney transplant recipients remain unclear.Design Systematic review and meta-analysis.Data sources MEDLINE, Embase, Global Health, CINAHL (EBSCOhost), Scopus, Web of Science and Google Scholar were searched up to 18 September 2023.Eligibility criteria We included observational studies among non-dialysis CKD and kidney transplant recipients who fasted during Ramadan and examined changes in kidney function.Data extraction and synthesis Standardised methods were used by two independent reviewers to screen, select and extract data. …”
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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

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Uniform Quantization for Multi-Antenna Amplify&#x2013;Quantize&#x2013;Forward Relay by Gangsan Jeong, Xianglan Jin

“…Furthermore, we propose a USL method with Monte Carlo (USL-MC), leveraging an approximated loss function to address the heightened complexity observed in multi-antenna systems. …”
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Future efforts should focus on incorporating diverse data sources, capturing true social and biological health determinants, implementing bias detection and fairness strategies, ensuring transparent reporting, and engaging with diverse communities. …”
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A Versatile Algorithm for Autofocusing SAR Images by A. A. Monakov

“…Adjusting the algorithm for the selected objective function requires minimal software changes. …”
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An Intelligent Hybrid Framework for Threat Pre-Identification and Secure Key Distribution in Zigbee-Enabled IoT Networks Using RBF and Blockchain by Bhukya Padma, Mahipal Bukya, Ujjwal Ujjwal

“…This methodology incorporates Radial Basis Function (RBF) networks for prompt threat detection and a blockchain-based trust framework for decentralized and tamper-proof key distribution. …”
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Ecological processes influencing bacterial community assembly across plant niche compartments by Nazish Roy, Seongeun Yang, Dongmin Lee, Kihyuck Choi

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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the computational complexity of high-precision detection models limits deployment on resource-constrained edge devices, such as industrial controllers. …”
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Single-Cell Gene Expression Analysis and Evaluation of the Therapeutic Function of Murine Adipose-Derived Stromal Cells (ASCs) from the Subcutaneous and Visceral Compartment by Dominik Pförringer, Matthias M. Aitzetmüller, Elizabeth A. Brett, Khosrow S. Houschyar, Richard Schäfer, Martijn van Griensven, Dominik Duscher

“…Adipose-derived stromal cells (ASCs) are a promising resource for wound healing and tissue regeneration because of their multipotent properties and cytokine secretion. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…To develop the direction, a new set of information from open sources and synthetic data are proposed. They are aimed at improving the generalization ability of the model. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…According to the taxonomy, each deep learning model is discussed, encompassing its core functionality and a critical assessment of its suitability for imaging-based SARS-CoV-2 detection. …”
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Using an Area-Weighted Loss Function to Address Class Imbalance in Deep Learning-Based Mapping of Small Water Bodies in a Low-Latitude Region by Pu Zhou, Giles Foody, Yihang Zhang, Yalan Wang, Xia Wang, Sisi Li, Laiyin Shen, Yun Du, Xiaodong Li

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Functional heterogeneity of mesenchymal stem cells and their therapeutic potential in the K18-hACE2 mouse model of SARS-CoV-2 infection by Kátia Nunes da Silva, Fernanda Martins Marim, Gisele Vieira Rocha, Zaquer Suzana Munhoz Costa-Ferro, Luciana Souza de Aragão França, Carolina Kymie Vasques Nonaka, Bruno Diaz Paredes, Erik Aranha Rossi, Erick Correia Loiola, Corynne Stephanie Ahouefa Adanho, Rachel Santana Cunha, Mayck Medeiros Amaral da Silva, Fernanda Ferreira Cruz, Vivian Vasconcelos Costa, Dalila Lucíola Zanette, Clarissa Araújo Gurgel Rocha, Renato Santana Aguiar, Patricia Rieken Macedo Rocco, Bruno Solano de Freitas Souza

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