Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning by Junhee Lee, Hongro Jang, Minkyu Park, Hyondong Oh

“…This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). …”
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Beach volleyball athlete training trends of Russian-language scientific resources: a systematic review by Sergii Iermakov, Tetiana Yermakova, Krzysztof Wnorowski, Abdelkrim Bensbaa

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Use of private lands for foraging by California spotted owls in the central Sierra Nevada by Perry J. Williams, Sheila A. Whitmore, R. J. Gutiérrez

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Foraging and mating behaviors of Hypsignathus monstrosus at the bat‐human interface in a central African rainforest by Elodie Schloesing, Alexandre Caron, Rémi Chambon, Nicolas Courbin, Morgane Labadie, Roch Nina, Frida Mouiti Mbadinga, Wilfrid Ngoubili, Danficy Sandiala, N’Kaya Tobi, Mathieu Bourgarel, Hélène M. De Nys, Julien Cappelle

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Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection by Asaf Khan, Saifullah Khan, Ariana Abdul Rahimzai, Saleem Abdullah

“…We develop continuous non-linear Diophantine fuzzy algebraic aggregation operators and apply them to a multi-attribute decision-making problem in renewable energy source selection. A case study demonstrates the effectiveness of the proposed CN-LDFS framework using a weighted geometric operator. …”
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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…This study introduces SCM, a two-stage composite feature selection framework designed to address this challenge. …”
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A Survey on the Functionalities of Data Catalog Tools by Jasmin Kropshofer, Johannes Schrott, Wolfram WoB, Lisa Ehrlinger

“…Currently, there is no generally accepted definition or interpretation regarding the required functionality of data catalog tools. This has not only led to a wide range of so-called data catalog tools but has also made it difficult for practitioners to gain an overview in order to make a targeted selection of a tool. …”
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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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Sources of uncertainty in DNA metabarcoding of whole communities: Implications for its use in biomonitoring by J. Iwan Jones, Amanda Arnold, Dominik Buchner, John F. Murphy, Jasmine N. Childress, Pedro Beja, Florian Altermatt, Kristian Meissner, Ian Adams, Meri Anderson, Yaisel J. Borrell, Andrew G. Briscoe, Kat Bruce, Cátia Chaves, Chris Conyers, Kristy Deiner, Vasco Elbrecht, Álvaro Fueyo, Tim Goodall, Javier Granero‐Castro, Cristina Hartmann‐Fatu, Eleanor Jones, Elvira Mächler, Filipa M. S. Martins, Sam McGreig, Lyndall Pereira‐da‐Conceicoa, James L. Pretty, Daniel S. Read, Ben Price, Florian Leese, Rosetta C. Blackman

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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

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Comparative analysis and selection of the geometry of the microphone array based on MEMS microphones for sound localisation by Andrii Riabko, Tetiana Vakaliuk, Oksana Zaika, Roman Kukharchuk, Yuriy Smorzhevsky

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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks by Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

“…We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. …”
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Scientific justification for the selection of vegetable crops of the cruciferous family for the design of functional dairy products by Peysakhov Mark, Dunchenko Nina, Yankovskaya Valentina

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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

“…Understanding the role of the choroid in glaucoma may lead to the development of new therapeutic approaches and thus facilitate the early detection, diagnosis and treatment of glaucoma.…”
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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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Selected fruit pomaces: Nutritional profile, health benefits, and applications in functional foods and feeds by Harsh Kumar, Shivani Guleria, Neetika Kimta, Eugenie Nepovimova, Rajni Dhalaria, Daljeet Singh Dhanjal, Nidhi Sethi, Suliman Y. Alomar, Kamil Kuca

“…Owing to these advantages, scientists have begun evaluating the nutritional content of various fruit pomace varieties as well as the chemical composition in different bioactive constituents, which have significant health benefits and can be used to formulate a variety of food products with notable nutraceutical and functional potential. So, the purpose of this review is to understand the existing familiarity of nutritional and phytochemical composition of selected fruit pomaces, those derived from pineapple, orange, grape, apple, and tomato. …”
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Changing grizzly bear space use and functional connectivity in response to human disturbance in the southern Canadian Rocky Mountains by Eric C. Palm, Clayton D. Apps, Tal Avgar, Melanie Dickie, Bruce N. McLellan, Joseph M. Northrup, Michael A. Sawaya, Julie W. Turner, Jesse Whittington, Erin L. Landguth, Katherine A. Zeller, Clayton T. Lamb

“…We used integrated step‐selection functions (iSSF) to model movement and habitat selection for 109 GPS‐collared grizzly bears across an 85,000 km2 multi‐use landscape in southeastern British Columbia and southwestern Alberta. …”
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Enhanced selective recovery of powder carrier-supported biofilms for enrichment of denitrifying functional bacteria by Chengxian Wang, Bin Lu, Boran Wu, Jin Chen, Zhigen Wu, Hongbo Han, Xiaohu Dai, Xiaoli Chai, Dian Hu

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Adhesive Forum Selection Agreements and Access to Justice: The Function and Limits of Anti-Waiver Protections by Hannah L. Buxbaum

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