Feasibility Analysis for Predicting Indian Ocean Bigeye Tuna (<i>Thunnus obesus</i>) Fishing Grounds Based on Temporal Characteristics of FY-3 Microwave Radiation Imager Data by Yun Zhang, Jinglan Ye, Shuhu Yang, Yanling Han, Zhonghua Hong, Wanting Meng

“…Efficient and accurate fishery forecasting is of great significance in ensuring the efficiency of fishery operations. …”
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Extraction of phenotypic parameters of litchi based on image processing and three-dimensional point cloud by Haibo CHEN, Xinglan XIANG, Kangye GONG, Zhengxin LI, Shunhao HUANG, Chunxi LI, Xiaofeng CAI, Shan ZENG

“…In order to solve the low efficiency problems of litchi postharvest grading, a method of extracting litchi phenotypic parameters by image processing and three-dimensional point cloud technology was proposed, to obtain a variety of phenotypic traits at one time. …”
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Cryptosporidium parvum prevalence in a group of Turkish children by Y Akyön, S Ergüven, S Arikan, K Yurdakök, A Günalp

“… Stool samples from two hundred children with diarrhea and from 50 healthy children were examined, by modified Kinyoun's acid-fast staining (MAF), Giemsa staining and direct (DFA) and indirect immunofluorescence antibody (IFA) methods, in order to determine cryptosporidiosis prevalence under the age of 12 and to detect the most efficient identifying method for use in our country. …”
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Effect of topographical and soil complexity on potato yields in irrigated fields by Michael Kehoe, Adele Harding, Seinfeld Joshua Pagdilao, Willemijn M. Appels

“…We encourage implementation of our method in different regions to determine the generality of our results.…”
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Caseinolytic proteases of Lactobacillus and Lactococcus strains isolated from fermented dairy products by Jasna Novak, Andreja Leboš Pavunc, Katarina Butorac, Martina Banić, Nina Čuljak, Helena Rak, Marina Blažević, Ana-Marija Iveljić, Jagoda Šušković, Blaženka Kos

“…Statistically, significant acidification capacity was determined for L. plantarum D13 in the optimal medium and by the proteolytic strain L. helveticus M92 in skimmed milk. …”
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Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research by Christiana Harry, Sarah Goodday, Carol Chapman, Emma Karlin, April Joy Damian, Alexa Brooks, Adrien Boch, Nelly Lugo, Rebecca McMillan, Jonell Tempero, Ella Swanson, Shannon Peabody, Diane McKenzie, Stephen Friend

“…ObjectiveThis study aims to (1) characterize socioeconomic and demographic differences in individuals who enrolled and engaged with different remote, digital, and traditional recruitment methods in a digital health pregnancy study and (2) determine whether social media outreach is an efficient way of recruiting and retaining specific underrepresented populations (URPs) in digital health research. …”
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Seven-parameter PEMFC model optimization using an battlefield optimization algorithm by Manish Kumar Singla, S.A. Muhammed Ali, Jyoti Gupta, Pradeep Jangir, Arpita, Ramesh Kumar, Reena Jangid, Mohammad Khishe

“…The system relies on seven key parameters to determine activation and ohmic and concentration overpotential values through ξ1, ξ2, ξ3, ξ4, λ, Rc, and β. …”
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Algorithm reality – intentionality and instrumentality by  V. Е. Kukel

“…Algorithms emerge as a paradoxical unity: on one hand, they act as «transparent» tools of technical rationality; on the other, they reveal «uncontrolled materiality», exposing the limits of formalization and determinism. The theoretical significance of the research lies in developing a comprehensive approach that interprets algorithms as: 1) a principle for implementing the scientific method, 2) a mediator between subject and object, and 3) an operationalization of digital-era rationality. …”
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network by Yiming Chen, Wei Wang, Junchao Chen, Jizhou Deng, Yuanping Xiang, Bo Qiao, Xinghui Zhu, Changyun Li

“…The method follows a process of locating strawberry pixel regions, calculating centroid coordinates, determining the symmetry axis via PCA, and completing the depth image. …”
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Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction by Qian Zeng, Xiaobo Li, Yixuan Chen, Minghao Yang, Xingbang Liu, Yuetian Liu, Shiwei Xiu

“…To address this limitation, this paper constructs a model based on constraints, optimization objectives, and server connection methods, determines experimental parameters and evaluation metrics, and sets up an experimental framework. …”
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An Effective CDS Heuristic for the Fuzzy Flow Shop Scheduling Problem With Ordered Precedence Constraints Using Pentagonal Fuzzy Processing Time by K. Ranjith, K. Karthikeyan

“…The findings indicate that the proposed methods consistently yield better results.…”
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Decision-making in wildlife forensics: comparing complex and simple cases at the Wyoming Game and Fish Laboratory by Kimberly M. Frazier, Tasha L. Bauman

“…Both cases highlight several decision making points throughout to determine the number of samples to collect, if the samples contain biological material, the extraction methods to be used, and how to proceed with downstream analyses. …”
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Release Profile and Antibacterial Activity of <i>Thymus sibthorpii</i> Essential Oil-Incorporated, Optimally Stabilized Type I Collagen Hydrogels by Caglar Ersanli, Ioannis Skoufos, Konstantina Fotou, Athina Tzora, Yves Bayon, Despoina Mari, Eleftheria Sarafi, Konstantina Nikolaou, Dimitrios I. Zeugolis

“…Although the strong antimicrobial activity of various EOs has already been studied and revealed, their characteristic high sensitivity and volatility drives the need towards a more efficient drug administration method via a biomaterial system. …”
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The comparative study of the specific heat capacity of uranium dioxide according to the fractal structure by Tural Mehmetoglu

“…The two well-known theoretical method were investigated in this work the advantages of accurate and efficient calculation results of heat capacities of uranium dioxide for wide temperature ranges. …”
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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm by Sahbi Boubaker, Habib Kraiem, Nejib Ghazouani, Souad Kamel, Adel Mellit, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Tariq Alqubaysi

“…The efficiency of the proposed method on a IEEE 69-bus system is tested. …”
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Development of an accurate breast cancer detection classifier based on platelet RNA by Wenlong Xie, Jie Hu, Zehang Zhao, Huixin Lu, Yu Han, Boan Li, Zhong Ouyang

“…In summary, we created and tested a new TEP-RNA-based BC diagnostic model that was confirmed valid and demonstrated high efficiency in detecting early-stage BC and heterogeneous subtypes, including recurrent tumors. …”
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A hybrid deep learning framework for regional reference crop evapotranspiration estimation in the Hetao Irrigation District using limited meteorological data by Xiao Zhang, Yuxin Tao, Chenglong Zhang

“…New hydrological insights for the region: The results indicated that the mass transfer-based CNN-Informer3 model achieved the best estimation performance, with its average Determination Coefficient (R2), Nash-Sutcliffe efficiency coefficient (NSE), Root Mean Square Error (RMSE), Relative Root Mean Square Error (RRMSE), Mean Absolute Error (MAE) and Percentage Bias (PBIAS) of 0.9712, 0.9665, 0.3764 mm/d, 0.1192, 0.2591 mm/d and -3.8143 % for accuracy evaluation, significantly outperforming other models. …”
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Explainable machine learning model for predicting compressive strength of CO2-cured concrete by Jia Chu, Bingbing Guo, Taotao Zhong, Qinghao Guan, Yan Wang, Ditao Niu

“…Compared to conventional concrete, the factors to determine the compressive strength of CO2-cured concrete are more complex, and thus, predicting its compressive strength becomes more difficult. …”
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Comparison of recycling processes of the used sand produced during the binder-jetting process by Matjila Makwena Annikie, Nyembwe Kasongo Didier

“…This paper compares the efficiencies of these recycling methods by examining whether the used-sand test specimens meet the required mechanical properties, and their potential for circularity. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…Despite the heightened interest in BSF production, there is a need for increased efficiency, particularly in the context of large-scale measurement of various traits for selective breeding as well as management optimization. …”
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