GLIMPSE: An Ultrafaint ≃105 M⊙ Pop III Galaxy Candidate and First Constraints on the Pop III UV Luminosity Function at z ≃ 6–7 by Seiji Fujimoto, Rohan P. Naidu, John Chisholm, Hakim Atek, Ryan Endsley, Vasily Kokorev, Lukas J. Furtak, Richard Pan, Boyuan Liu, Volker Bromm, Alessandra Venditti, Eli Visbal, Richard Sarmento, Andrea Weibel, Pascal A. Oesch, Gabriel Brammer, Daniel Schaerer, Angela Adamo, Danielle A. Berg, Rachel Bezanson, Rychard Bouwens, Iryna Chemerynska, Adélaïde Claeyssens, Miroslava Dessauges-Zavadsky, Anna Frebel, Damien Korber, Ivo Labbe, Rui Marques-Chaves, Jorryt Matthee, Kristen B. W. McQuinn, Julian B. Muñoz, Priyamvada Natarajan, Alberto Saldana-Lopez, Katherine A. Suess, Marta Volonteri, Adi Zitrin

“…These properties indicate the presence of a nascent, metal-deficient young stellar population (<5 Myr) with a stellar mass of ≃10 ^5 M _⊙ . Intriguingly, this source deviates significantly from the extrapolated UV–metallicity relation derived from recent JWST observations at z = 4–10, consistent with UV enhancement by a top-heavy Pop III initial mass function or the presence of an extremely metal-poor active galactic nucleus. …”
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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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Plastome and transcriptome analysis reveals a degenerated photosynthesis-related pathway in the mycoheterotrophic vanilloid orchid Cyrtosia lindleyana by Shiou Yih Lee, Peishan Zou, Zhihui Chen, Kenji Suetsugu, Wenbo Liao

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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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Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…Wind energy, as a renewable energy source, is becoming increasingly important. The maintenance and damage detection of wind turbine blades are particularly crucial. …”
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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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A fluorescence probe for monitoring toxic hypochlorous acid in biosystems and environmental waters with a broad pH adaptation by Junyan Ma, Zilin Jiao, Mingtao Zhao, Xiangtao Kong, Hua Xie, Zhenxing Zhang

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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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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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A Novel Overload Control Algorithm for Distributed Control Systems to Enhance Reliability in Industrial Automation by Taikyeong Jeong

“…The proposed method is integrated with a modular multi-functional processor (MFP) architecture, designed to enhance system reliability, optimize resource utilization, and improve fault resilience under dynamic operational conditions. …”
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Genome-wide analysis of CHYR gene family and BnA03.CHYR.1 functional verification under salt stress in Brassica napus L. by Yanli Guo, Qingxiao Ren, Manman Song, Xiangxiang Zhang, Heping Wan, Fei Liu

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Efficiency-Centered Fault Diagnosis of In-Service Induction Motors for Digital Twin Applications: A Case Study on Broken Rotor Bars by Adamou Amadou Adamou, Chakib Alaoui

“…Our proposed method utilizes efficiency as the primary indicator for fault detection, while losses serve as condition indicators for fault diagnosis based on real-time motor parameters and loss sources. …”
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ContDataQC: An R package and Shiny app for quality control of continuous water quality sensor data by Michael J. Pennino, Jen Stamp, Erik W. Leppo, David A. Gibbs, Britta G. Bierwagen

“…ContDataQC helps users speed up and standardize the QC process, minimize undetected data errors, and make full use of their sensor data. It has three main functions: generate QC reports to detect anomalies and erroneous data values, merge QC'd data files from different time periods, and generate time series plots and basic summary statistics. …”
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Root puppet masters: Infauna shift trait‐productivity relationships in submerged aquatic vegetation communities by Charlotte Angove, Alf Norkko, Camilla Gustafsson

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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…IntroductionImproving field operations through precise spot planting rates depends on the accurate functioning of seed flow sensors within the working rows. …”
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Target-aware unregistered infrared and visible image fusion by Dengshu Hu, Ke Wang, Cuijin Zhang, Zheng Liu, Yukui Che, Shoubing Dong, Chuirui Kong

“…To address this issue, we propose a novel method that enables mutual enhancement between infrared-visible image fusion and object detection, specifically designed to handle misaligned source images. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

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Aligning metrics with meaning: considerations for measurement selection in disability evaluation by Elizabeth Marfeo, Elizabeth Marfeo, Elizabeth K. Rasch, Kathleen Coale, Julia Porcino, Leighton Chan

“…In contrast, performance-based assessments, while useful in certain clinical scenarios, are often resource-intensive and may not accurately reflect real-world functioning. …”
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De novo tanscriptome sequencing and functional annotation of differentially expressed genes in large and small seeds of common cocklebur (Xanthium strumarium L.) during seed develo... by Iman Nemati, Mohammad Sedghi, Ghasem Hoseini Salekdeh, Reza Tavakkol afshari, Mohammadreza Naghavi

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Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

“…This study's foundation is crucial for advancing stress classification research, with significant implications for cognitive function and well-being.…”
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