Analyzing Agricultural Land Price Prediction Using Linear Regression and XGBoost Machine Learning Algorithms: A Case Study of Çanakkale by Simge Doğan, Levent Genç, Sait Can Yücebaş, Metin Uşaklı

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Design model of thrust bearing with porous coating on the way surface by Murman A. Mukutadze, Anastasia N. Garmonina, Victor M. Prikhodko

“…The development of the design model of a thrust sliding bearing with a two-layer porous coating on the way surface running on an electrically conductive lubricant is described. The work objectives are the development and computational justification of the possible increase in oil consumption, growth of the bearing capacity, and reduction of the frictional force, due to their design models refinement. …”
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Development of a power model for large wave gear toothing by V. N. Strelnikov, A. I. Voloshin, M. G. Sukov

“…The results obtained are applicable in the mathematical simulation of the planar stress state of teeth with nonlinear profiles. Comparative evaluation of errors introduced by deviations of geometry and dimensions of physical models and mathematical analogues supports the experiment correctness and the validity of the quantitative data obtained. …”
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Tiny? Make it mighty! Maximizing a limited-budget upgrade of a pint-sized hospital library using UX methods by Sarah May Visintini, Jessica McEwan

“…Observed behaviours support the continued need for desks with a deep surface area to accommodate multiple devices used in tandem. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…This approach surpasses traditional readability indices, offering substantial benefits for content creation and knowledge management in fields like education, business, technical support, and policy platforms. Strategic Insights into Blockchain Adoption in Automotive Supply Chains: A Comparative AHP-TOPSIS and TISM-MICMAC Analysis The authors explore blockchain adoption in the automotive industry using a multidisciplinary approach involving AHP, TOPSIS, TISM, and MICMAC analyses. …”
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LCAT: A Lightweight Color-Aware Transformer With Hierarchical Attention for Leaf Disease Classification in Precision Agriculture by Parkpoom Chaisiriprasert, Khachonkit Chuiad

“…Future work includes extending LCAT to support more crop species and plant diseases and integrating it into comprehensive decision support systems for precision agriculture.…”
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Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation by Marina Budanko, Zvonimir Guzović

“…Selecting optimal urban or suburban locations with favorable wind conditions opens the possibility of deploying HAWTs, leveraging their higher efficiency even at comparable wind speeds. This paper presents a methodology for designing highly efficient HAWTs for urban use, supported by computational fluid dynamics (CFD) analyses to produce power curves and evaluate the energy conversion efficiency of both bare and augmented turbine designs. …”
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High-Efficiency Multi-Standard Polynomial Multiplication Accelerator on RISC-V SoC for Post-Quantum Cryptography by Duc-Thuan Dam, Trong-Hung Nguyen, Thai-Ha Tran, Duc-Hung Le, Trong-Thuc Hoang, Cong-Kha Pham

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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

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Influences of electrode density on intracranial seizure localisation: a single-blinded randomised crossover studyResearch in context by Ebenezer O. Chinedu-Eneh, Sharon Chiang, John P. Andrews, Ehsan Tadayon, Joline M. Fan, Paul A. Garcia, Ernesto Gonzalez-Giraldo, Manu Hegde, Patrick Hullett, Vikram R. Rao, Robert C. Knowlton, Edward F. Chang, Jonathan K. Kleen

“…While further studies assessing surgical outcomes in more patients are needed, these results suggest higher densities of electrodes on already-implanted hardware may reveal sub-centimetre extensions and clearer functional contiguity of the SOZ(s) for better appraisals of pathophysiological margins in epilepsy surgery. Funding: This work was supported by the National Institutes of Health through NINDS grant K23NS110920 and through a UCSF Weill Institute for Neurosciences Pilot Award.…”
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Production and analysis of the biological properties of recombinant human granulocyte colony stimulating factor chimeric form by M. B. Pykhtina, V. P. Romanov, S. M. Miroshnichenko, A. B. Beklemishev

“…The aim of this work was to design and study biological properties of the recombinant human granulocyte colony stimulating factor (G-CSF), «linked» to apolipoprotein A-I (apoA-I) by a peptide linker, for obtaining in perspective a prolong form of the drug based on this cytokine.Material and methods. …”
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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…Computer Vision (CV) has proven to be a powerful tool for automation in agri-food industrial processes, offering high-precision solutions tailored to specific working conditions. …”
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COLD-12: A multi-level feature extraction hybrid CNN Model for accurate cotton disease diagnosis by Md. Asraful Sharker Nirob, Prayma Bishshash, A K M Fazlul Kobir Siam

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Glycaemic control in labour with diabetes: GILD, a scoping study by Nia Wyn Jones, Eleanor J Mitchell, Kate F Walker, Susan Ayers, Lucy Bradshaw, Georgina Constantinou, Tasso Gazis, Shalini Ojha, Phoebe Pallotti, Stavros Petrou, Rachel Plachcinski, Michael Rimmer, Liz Schroeder, Jim G Thornton, Natalie Wakefield

“…Maternal satisfaction was considered an important maternal outcome. Work package 3 Based on data from previous work packages, a randomised trial using an umbrella design and master protocol has been designed, with an aim to include women with all types of diabetes. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…For this purpose, data including porosity, surface hardness, and roughness were extracted from the literature, and additional measurements were performed on additive manufactured samples in the current work. This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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Software for Electronic Portfolio of Students of the Russian Higher Education by B. Burnyashov

“…The following criteria were added to the list of traditional criteria for comparing electronic portfolio software from different developers by the author: the availability (number) of training tools for performing training tasks with ecosystem tools, into which the portfolio is integrated, and the presence of registration in the Unified Register of Russian programs for electronic computers and databases. …”
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Probing the role of Coniferin and Tetrahydrocurcumin from Traditional Chinese medicine against PSAT1 in early-stage ovarian cancer: An in silico study. by Jia Zhang, Shalesh Gangwar, Nagmi Bano, Shaban Ahmad, Mohammed S Alqahtani, Khalid Raza

“…Even in its early stages, when treatment choices are scarce, ovarian cancer is still a complicated cancer to treat. In this work, we used computational approaches to find putative Traditional Chinese Medicine (TCM) inhibitors that target Phosphoserine Aminotransferase 1 (PSAT1), a crucial enzyme linked to the development of early-stage ovarian cancer. …”
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Assessing heat exposure and its effects on farmer health, harvest yields, and nutrition: a study protocol for Burkina Faso and Kenya by Sandra Barteit, Windpanga Aristide Ouédraogo, Charlotte Müller, Pascal Zabré, Issouf Traoré, Valentin Boudo, Ali Sié, Guillaume Compaoré, Lucienne Ouèrmi, Stephen Munga, David Obor, Aditi Bunker, Hanns-Christian Gunga, Kristine Belesova, Till Bärnighausen, Jonas Franke, Maximilian Schwarz, Martina Anna Maggioni, Rainer Sauerborn

“…Heat exposure can impair farmers’ work capacity, disrupt harvests, and heighten health risks, especially for young children vulnerable to undernutrition. …”
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