Electrochemical microfluidic biosensor for the detection of CD4+ T cells by Katarzyna Białas, Hui Min Tay, Chayakorn Petchakup, Razieh Salimian, Stephen G. Ward, Mark A. Lindsay, Han Wei Hou, Pedro Estrela

“…This work presents an innovative electrochemical microfluidic device that, with further development, could be applied for HIV management in low resource settings. The setup integrates an electrochemical sensor within a PDMS microfluidic structure, allowing for on-chip electrode functionalization and cell detection. …”
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Noise Directivity Reconstruction Radiated from Unmanned Underwater Vehicle’s Propeller Using the Equivalent Source Method by Shuai Jiang, Liwen Tan, Ruichong Gu, Zilong Peng

“…In this paper, a method for selecting elementary source configurations was proposed, considering the correlation coefficients that exhibit a strong correlation with the directivity function. …”
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Environmental Risk Assessment of Wuhan Qingshan Industrial Park Based on Multi-Source Data Fusion and FAHP by Yang Yangyi

“…The fuzzy analytic hierarchy process (FAHP) is employed to assign weights through expert judgment, and fuzzy membership functions are used to determine risk levels across selected sub-regions. …”
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Spectral Design Method to Simulate Tunable Spectra of Various Light Sources Based on Multi-Channel LEDs by Zijian Tao, Xiaojie Zhao, Shanshan Li, Qi Dai

“…It begins by determining the desired wavelength range according to an eye-sensitivity threshold based on the V(λ) function. Subsequently, a strategy for LED component selection is introduced. …”
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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

“…To that end, tractable objective functions are developed, together with the pertinent learning architectures, generalizing the concepts of Variational Auto-Encoders and (Distributed) Deep Variational Information Bottleneck for (remote) source coding to the context of distributed joint source-channel coding. …”
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Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape by A. Kostrzewa, A. Płatek-Żak, P. Banat, Ł. Wilk

“…OpenDroneMap (ODM), open-source software, offers similar functionalities to popular commercial options, enabling the generation of point clouds, DEMs, and mesh models using advanced algorithms like Multi-View Stereo (MVS) and Poisson surface reconstruction. …”
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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

“…It comes as no surprise that cardiovascular disease is a leading source of morbidity and death in contemporary society. …”
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Myeloma mesenchymal stem cells’ bioenergetics afford a novel selective therapeutic target by Oded Komemi, Elina Orbuch, Osnat Jarchowsky-Dolberg, Yaron Shraga Brin, Shelly Tartakover-Matalon, Metsada Pasmanik-Chor, Michael Lishner, Liat Drucker

“…Fission/fusion dynamics regulate mitochondria function. Proteomics demonstrates excessive mitochondrial processes in BM-MSCs from MM patients compared to normal donors (ND). …”
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Near extinction of the HBV quasispecies driven by the hard selective sweep in chronic hepatitis B by Daiqiang Lu, Andong He, Guichan Liao, Renyu Zhou, Zichun Cheng, Ka Cheuk Yip, Xiufang Wang, Wei Cao, Jiaojiao Peng, Ruiman Li, Jie Peng, Feng Gao

“…The nearly identical viral population suggests that all these viruses are from a single source. Predominant mutations were identified in known T cell epitopes but not in epitopes for neutralizing antibodies, indicating that the hard selective sweep is most likely driven by T cell selection pressure. …”
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The molecular prevalence of Theileria equi in the Arabian stallion in Egypt with special reference to biochemical parameters by Noora F. Thabet, Omaima M. Kandil, Omnia M. Kandil, Khalid M. Fararh

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Influence of Lineage-Negative Stem Cell Therapy on Articulatory Functions in ALS Patients by Wioletta Pawlukowska, Bartłomiej Baumert, Monika Gołąb-Janowska, Anna Sobuś, Agnieszka Wełnicka, Agnieszka Meller, Karolina Machowska-Sempruch, Alicja Zawiślak, Karolina Łuczkowska, Sławomir Milczarek, Bogumiła Osękowska, Edyta Paczkowska, Iwona Rotter, Przemysław Nowacki, Bogusław Machaliński

“…Bone marrow-derived stem and progenitor cells (SPCs) may be a valuable source of trophic factors. In this study, we assessed whether adjuvant cellular therapy could affect the levels of selected neurotrophins and proinflammatory factors in the cerebrospinal fluid (CSF) and subsequently prevent the deterioration of articulation. …”
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Identification of swine- specific microbial genetic markers using competitive DNA hybridization by FAN Lihua, MO Hongfei, ZHANG Xiaofeng, SHUAI Jiangbing, CHEN Qing

“…The putative protein transcript of each sequence was analyzed based on the similarity of gene sequences by using BLASTX with the GenBank non-redundant database，and their biochemical functions were therefrom predicted.Sequence analyses of five hundred randomly selected clones from the libraries obtained by three rounds of metagenomic GFE revealed that this subset contained a total of 384 non-redundant sequences and most sequences (87%) ranged from 400 bp to 600 bp in size. …”
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Highly effective ionic liquids for biodiesel production from waste vegetable oils by Fathy A. Yassin, Fathy Y. El Kady, Hoda S. Ahmed, Latifa K. Mohamed, Seham A. Shaban, Ahmed K. Elfadaly

“…As conventional energy sources deplete, the need for developing alternative energy resources which are environment friendly becomes more imperative. …”
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Investigation of the chemical composition of cell cultures of DIOSCOREA CAUCASICA in connection with the production of BAS sources with cardioprotective potential by A. I. Loseva, V. I. Minina, A. V. Pozdnyakova, E. V. Ostapova

“…Dioscorea Caucasica is a source of various biologically active substances (BAS), e.g. saponins and polyphenols, which are known for their anti-atherosclerotic action. …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

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YOLO-PEL: The Efficient and Lightweight Vehicle Detection Method Based on YOLO Algorithm by Zhi Wang, Kaiyu Zhang, Fei Wu, Hongxiang Lv

“…YOLOv8-PEL shows outstanding performance in detection accuracy, computational efficiency, and generalization capability, making it suitable for real-time and resource-constrained applications. …”
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection by Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin

“…Improved attention, loss function, and suppression enhance detection accuracy, while lightweight C3 module reduces computation time. …”
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Toward global rooftop PV detection with Deep Active Learning by Matthias Zech, Hendrik-Pieter Tetens, Joseph Ranalli

“…It is crucial to know the location of rooftop PV systems to monitor the regional progress toward sustainable societies and to ensure the integration of decentralized energy resources into the electricity grid. However, locations of PV are often unknown, which is why a large number of studies have proposed variants of Deep Learning to detect PV panels in remote sensing data using supervised Deep Learning. …”
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Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

“…The signal-to-noise dynamic dependence of the given radar system, space object, and observation scenario, presented by their digital models, was calculated. The function of detection probability density was calculated, which demonstrated an insufficient detection capacity of a radar system in the case of observation of such type of objects.Conclusion. …”
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A Lightweight Citrus Object Detection Method in Complex Environments by Qiurong Lv, Fuchun Sun, Yuechao Bian, Haorong Wu, Xiaoxiao Li, Xin Li, Jie Zhou

“…Aiming at the limitations of current citrus detection methods in complex orchard environments, especially the problems of poor model adaptability and high computational complexity under different lighting, multiple occlusions, and dense fruit conditions, this study proposes an improved citrus detection model, YOLO-PBGM, based on You Only Look Once v7 (YOLOv7). …”
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