MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection by Jiapan Li, Yan Zhang, Yong Zhang, Hongwei Shi, Xianfang Song, Chao Peng

“…Addressing the paucity of automated systems for the detection of dead poultry within large-scale agricultural settings, characterized by the onerous and time-consuming manual inspection processes, this study introduces an enhanced YOLO algorithm with multi-source image fusion (MIF-YOLO) for the autonomous identification of dead chicken. …”
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Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols by Alkinoos Athanasiou, Chrysa Lithari, Konstantina Kalogianni, Manousos A. Klados, Panagiotis D. Bamidis

“…Event-Related Desynchronization/Synchronization (ERD/ERS) of the mu-rhythm was used to evaluate MI performance. Source detection and FCNs were studied with eConnectome. …”
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Analytical method for determining coordinates of the radiation source in a homogeneous medium by H. V. Velichko

“…The problem is reduced to finding the minimum of a nonlinear function of five variables. This function is the sum of the squares of the differences of the calculated and the actual time of the wave front passing through the sensor for each of the sensors. …”
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Advances in choroid-glaucoma structural-functional correlations using swept-source optical coherence tomography by Ying Tang, Yun Zhao, Qiyao Wang, Jia Li

“…Our analyses suggest that functional and structural changes in the choroid are evident in glaucoma patients as the disease progresses and that the action mechanism varies across different types of glaucoma. …”
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Functionalized hydrogel-based colorimetric sensor for Cu2+ detection by Minh-Kha Nguyen, Chau-Nha-Trang Nguyen, Khanh-Binh Vo

“…The optimal sensor composition consists of 0.75 wt % agar, 0.15 mM L-cysteine, and 1 mM HAuCl _4 , with Cu ^2+ detection at a pH of 4. The sensor exhibits high selectivity, with minimal interference from other metal ions, and achieves a detection limit of 10 μM Cu ^2+ . …”
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Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID platform by Dan Lu, Katrina L. Kalantar, Abigail L. Glascock, Victoria T. Chu, Estella S. Guerrero, Nina Bernick, Xochitl Butcher, Kirsty Ewing, Elizabeth Fahsbender, Olivia Holmes, Erin Hoops, Ann E. Jones, Ryan Lim, Suzette McCanny, Lucia Reynoso, Karyna Rosario, Jennifer Tang, Omar Valenzuela, Peter M. Mourani, Amy J. Pickering, Amogelang R. Raphenya, Brian P. Alcock, Andrew G. McArthur, Charles R. Langelier

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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…Furthermore, the Focaler-MPDIoU loss function has been developed to address the challenge of suboptimal localization accuracy for hard-to-detect targets and diminutive targets. …”
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The study on the function and cell source of interleukin‐6 in interstitial cystitis/bladder painful syndrome rat model by Zhenming Zheng, Jiapeng Zhang, Caixia Zhang, Wenshuang Li, Kaiqun Ma, Hao Huang, Kuiqing Li, Yousheng Yao

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Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

“…Seventeen ML algorithms were applied to a dataset of voice recordings from Healthy Control and PD individuals, sourced from a publicly available repository. We leveraged the PyCaret Python library's ML algorithms and functions, which were introduced in this article, to demonstrate their simplicity and effectiveness in dealing with real-world data. …”
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Edible caterpillars (Gonimbrasia belina and Gynanisa maja) as emerging source of nutrients and bioactive compounds by Chrysantus M. Tanga, Brian O. Ochieng, Dennis Beesigamukama, Changeh J. Ghemoh, Cynthia Mudalungu, Xavier Cheseto, Isaac M. Osuga, Sevgan Subramanian, Segenet Kelemu

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Substitution of non-forage fibre sources for cereal grains and molasses in calf starter on performance and development of ruminal function by D.B. Vagnoni, C. Sousa, M.A. Messman

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Near-source wastewater surveillance of SARS-CoV-2, norovirus, influenza virus and RSV across five different sites in the UK. by Jay C Bullen, Mina Mohaghegh, Fatima Tahir, Charlotte Hammer, Jacob Sims, Frederico Myers, Lucas Eisinger, Ali Reza Kasmati, Claire F Trant

“…The key findings are (1) near-source wastewater detections were linked to local events (staff sickness, enhanced cleaning, changing populations); (2) wastewater detections decreased in the order norovirus GII > norovirus GI > SARS-CoV-2 ≈ influenza A ≈ RSV A > influenza B ≈ RSV B; (3) correlation between near-source wastewater data and national surveillance data increases as a function of catchment size and viral prevalence (examples include the SARS-CoV-2 BA.4/BA.5 variant peak at a museum and wastewater tracking the winter norovirus season); (4) strong weekday periodicity in near-source wastewater SARS-CoV-2 detections, with the correlation against COVID-19 case numbers increasing when modelling variable lag times between faecal shedding onset and clinical diagnosis (R2 = 0.45 increases to 0.84-0.86); (5) a log-linear relationship between the frequency of wastewater SARS-CoV-2 detection and log(catchment size⋅viral prevalence) (R2 = 0.6914-0.9066). …”
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The Cosmic Evolution of Fast Radio Bursts Inferred from the CHIME/FRB Baseband Catalog 1 by Om Gupta, Paz Beniamini, Pawan Kumar, Steven L. Finkelstein

“…We find the energy distribution is described well by a Schechter function with a power-law slope of $-1.9{4}_{-0.12}^{+0.14}$ . …”
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Multilingual Investigation of Cross-Project Code Clones in Open-Source Software for Internet of Things Systems by Wenqing Zhu, Norihiro Yoshida, Yutaka Matsubara, Hiroaki Takada

“…We collected 122 IoT system repositories in nine languages from GitHub and grouped them according to their primary functionality in IoT systems. We used MSCCD, a multilingual code clone detector to detect Type-3 code clones for each group. …”
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Fermented Buffalo Milk with Conjugated Linoleic Acid-Producing Bacteria: Strain Selection and Functional Applications by Bruna Samara dos Santos Rekowsky, Lorena Brandão Rocha Martinez Fernandez, Katherine Gutierrez Alzate, Carini Aparecida Lelis, Marcelo Resende de Souza, Carolina Oliveira de Souza, Bruno Dutra da Silva, Carlos Adam Conte-Júnior, Carla Paulo Vieira, José Givanildo da Silva, Marion Pereira da Costa

“…Buffalo milk is a rich source of precursor fatty acids for bioactive compounds and provides an optimal environment for bacterial growth. …”
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Development and validation of microwave-assisted extraction for phenolic compound profiling in diverse oyster mushrooms (Pleurotus spp.) sourced from various geographical regions by M Umar Harun, Miguel Palma, Widiastuti Setyaningsih

“…This study aimed to develop and validate a microwave-assisted extraction (MAE) method for profiling phenolic compounds in a diverse selection of oyster mushrooms (Pleurotus spp.) sourced from multiple geographical regions. …”
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Constraining the Faint-end Slope of the Fast Radio Burst Energy Function Using CHIME/FRB Catalog-1 and Local Volume Galaxies by Mohit Bhardwaj, Victoria M. Kaspi, K. W. Masui, B. M. Gaensler, Adaeze L. Ibik, Mawson W. Sammons

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Detection of a Spatial Source Term Within a Multi-Dimensional, Multi-Term Time-Space Fractional Diffusion Equation by Mofareh Alhazmi, Yasser Alrashedi, Hamed Ould Sidi, Maawiya Ould Sidi

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Reusable and robust fuzzy extractor for CRS-dependent sources by Yucheng Ma, Peisong Shen, Xue Tian, Kewei Lv, Chi Chen

“…Abstract Fuzzy extractors allow for the extraction and reproduction of a nearly uniform string from a noisy and non-uniform source. Reusable and robust fuzzy extractors further require that the output string should remain pseudorandom under multiple extractions and any modification of public value should be detectable. …”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…It then leverages the cost function results from the MPC algorithm as the key diagnostic parameter derived through a comparative analysis of predicted system behavior under normal and fault conditions. …”
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