Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

“…In this work, we present a case study from the Galaxy Zoo: Weird & Wonderful project, where volunteers inspected ~200,000 astronomical images—processed by an ML-based anomaly detection model—to identify those with unusual or interesting characteristics. Volunteer-selected images with common astrophysical characteristics had higher consensus, while rarer or more complex ones had lower consensus. …”
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The large language model diagnoses tuberculous pleural effusion in pleural effusion patients through clinical feature landscapes by Chaoling Wu, Wanyi Liu, Pengfei Mei, Yunyun Liu, Jian Cai, Lu Liu, Juan Wang, Xuefeng Ling, Mingxue Wang, Yuanyuan Cheng, Manbi He, Qin He, Qi He, Xiaoliang Yuan, Jianlin Tong

“…By highlighting the advantages of LLMs in handling complex clinical data, identifying interrelationships between features, and improving diagnostic accuracy, this study seeks to provide a more efficient and precise solution for the early diagnosis of TPE. …”
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ITD-YOLO: An Improved YOLO Model for Impurities in Premium Green Tea Detection by Zezhong Ding, Yanfang Li, Bin Hu, Zhiwei Chen, Houzhen Jia, Yali Shi, Xingmin Zhang, Xuesong Zhu, Wenjie Feng, Chunwang Dong

“…Simultaneously, it achieved a reduction in computational complexity with GFLOPs decreasing by 2.3 and parameters shrinking by 860350 B. …”
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NMR Relaxation to Probe Zeolites: Mobility of Adsorbed Molecules, Surface Acidity, Pore Size Distribution and Connectivity by Marina G. Shelyapina

“…Recent studies have shown that mesoporosity is beneficial to the rational design of catalysts with controlled product selectivity and an improved catalyst lifetime due to its efficient mass-transport properties. …”
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Design and Development of a Novel Universal Gripper Having Rigid Mechanics With Self-Adaptable Fingers for Industrial Applications by Muhammad Usman Khalid, Michal Jilich, Mattia Frascio, Benoit Levesque, Alessandro Zanella, Matteo Zoppi

“…In industrial assembly, intralogistics, and powertrain automation, it is essential to implement robust, safe, and efficient object-grasping solutions that are applicable to various scenarios. …”
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Molecular activity of bioactive phytocompounds for inhibiting host cell attachment and membrane fusion interacting with West Nile Virus envelope glycoprotein. by Noimul Hasan Siddiquee, Shanjida Akter Joyoti, Bushra Binte Zaker, Mansura Akter Eva, Alif Islam Nava, Nusrat Jahan Mridu, Al Amin Shawon, Sanjida Rahman, Tasnuva Jamil Chowdhury, Susmita Sarkar Katha, Md Rafiul Islam, Mohammad Sharif Uddin

“…The selected compounds are secure and efficient since they demonstrate excellent toxicological and Pk characteristics. …”
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Research Progress on Wet Recovery of Zinc Metal from Blast Furnace Smelting Dust by Lijuan JIA, Shaoxiang YANG, Linjie YANG, Jiayu FENG, Shuo CUI, Fang WANG, Yanzhang LIU, Ping NING

“…However, technical challenges remain, such as the complex chemical speciation of zinc in dust (e.g., iron zincate, zinc silicate) and the need for optimizing system energy efficiency. …”
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Updates on Strawberry DNA Testing and Marker-Assisted Breeding at the University of Florida by Yoon Jeong Jang, Youngjae Oh, Sujeet Verma, Mark E. Porter, Cheryl Dalid, Cheol-Min Yoo, Zhen Fan, Cas W. Willborn, Koeun Han, Do-Sun Kim, Vance M. Whitaker, Seonghee Lee

“…The use of MAB has significantly improved the efficiency of stacking loci responsible for disease resistance and fruit quality characteristics. …”
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Study on method of core collection construction for sensory quality traits of summer-planted vegetable soybean by HAN Li-de, HU Jin, XU Hai-ming, QIU Jia-xun, HUANG Zheng-lai

“…The result showed that the core collection for sensory quality traits well retained the genetic diversity and genetic complexity of the primary core accessions. The core collection for special traits may serve as an supplementary method for selecting excellent accession in quality breeding.…”
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Reliability Analysis of Tracked Vehicle Gear Transmission Box Considering Component Failure Correlation by Yan Sihong, Tao Fenghe, Jia Changzhi

“…The cumbersome operation and the complexity of solving the correlation coefficient of related components can be avoided through using Copula function. …”
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A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC m... by Roberta Calone, Angela Fiore, Guido Pellis, Maria Luz Cayuela, Gabriele Mongiano, Alessandra Lagomarsino, Simone Bregaglio

“…Farming practices such as soil tillage, organic/mineral fertilization, irrigation, crop selection and residues management influence multiple ecosystem services provided by agricultural systems. …”
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Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching by P. Bonnet, L. Pastori, M. Schwabe, M. Giorgetta, F. Iglesias-Suarez, V. Eyring, V. Eyring

“…This step also becomes more challenging with increasing spatial resolution and complexity of climate models. In addition, the manual tuning relies strongly on expert knowledge and is thus not independently reproducible. …”
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Sustainable metal recovery from spent lithium-ion battery using electrochemical technique: A comprehensive method review by Sayali Apte, Aparna Mukherjee, Preeti Mishra

“…However, challenges like process complexity due to multi-element systems, employment of strongly corrosive solvents, membrane fouling, and scalability are also witnessed. …”
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Influence of modification of the cast metal structure by solid phase particles on the nucleation of crystallization centers and their stability by Е.Н. Еремин

“…The obtained conclusions make it possible to select the composition of complex modifiers that allow controlling the structure of castings in the process of their crystallization. …”
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Continuous Gesture Sequences Recognition Based on Few-Shot Learning by Zhe Liu, Cao Pan, Hongyuan Wang

“…And it can improve human-computer interaction efficiency in operations with proper gesture recognition solutions. …”
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Development of a machine learning-based surrogate model for friction prediction in textured journal bearings by Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

“…Surface textures in journal bearings offer significant potential for reducing friction and enhancing energy efficiency. However, the complexity of texture configurations necessitates an accurate and efficient performance prediction model to properly design textured journal bearings. …”
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Lignin as a Bioactive Additive in Chlorzoxazone-Loaded Pharmaceutical Tablets by Andreea Creteanu, Gabriela Lisa, Cornelia Vasile, Maria-Cristina Popescu, Daniela Pamfil, Alina-Diana Panainte, Gladiola Tantaru, Madalina-Alexandra Vlad, Claudiu N. Lungu

“…Two factors have been calculated to assess the release profile of chlorzoxazone: f1—the similarity factor and f2—the difference factor together with the correlation coefficient R². Comparing their values, the three optimal formulations have been selected, containing 55 mg LIG (FLa), 60 mg LIG (FLb), or 65 mg LIG (FLc), confirming that LIG next to KOL and CHT influenced the release characteristics of the matrix tablets. …”
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The Consolidated Approach to Intervention Adaptation (CLARION): Developing and undertaking an empirically and theoretically driven intervention adaptation by Lydia Ould Brahim, Sylvie D. Lambert, Nancy Feeley, Jane McCusker, Dan Bilsker, Mark J. Yaffe, Rosetta Antonacci, Stephanie Robins, John William Kayser, Christine Genest, Haida Paraskevopoulos, Jessica Blair, Andrea Laizner

“…Methods The development of CLARION was informed by the Medical Research Council guidance, the Method for Program Adaptation through Community Engagement (M-PACE), and a published scoping review identifying the key steps in existing adaptation frameworks. M-PACE was selected for its patient-oriented research principles, its application to a similar complex intervention, and for offering some of the specificity needed for execution. …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

“…Driven by chronic diseases and an aging population, there is a need to enhance the efficiency and resource allocation of outpatient facilities. …”
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SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET by Hyder Abbas, Shen Bing Ren, Muhammad Asim, Syeda Iqra Hassan, Ahmed A. Abd El-Latif

“…Secondly the block includes an attention module that refines the decoder, is constructed to enhances the detection of salient objects in complex backgrounds by selectively focusing attention on relevant features. …”
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