Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection by Vinicius Moretti, Everton L. Melo, Joao Carlos Colmenero

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Screening of Reference Genes for Quantitative Real-time PCR in Curcuma alismatifolia Bracts by Jianjun TAN, Lishan HUANG, Yiwei ZHOU, Yechun XU, Yuanjun YE

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Machine learning-based integration of DCE-MRI radiomics for STAT3 expression prediction and survival stratification in breast cancer by Dong Pan, Dong Pan, Dong Pan, Cheng-Yan Zhang, Cheng-Yan Zhang, Cheng-Yan Zhang, Ya-Fei Wang, Ya-Fei Wang, Shuang Liu, Shuang Liu, Shuang Liu, Xiong-Zhi Wu, Xiong-Zhi Wu, Xiong-Zhi Wu, Xiong-Zhi Wu, Xiong-Zhi Wu

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Analysis of the Radiological Anatomy of the Proximal Femur after the Intramedullary Nailing of Trochanteric Fractures by Boris A. Maiorov, Igor G. Belenkiy, Gennadii D. Sergeev, Ivan A. Endovitskiy, Mariya A. Sergeeva, David A. Isakhanyan

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Predictive value of subacromial motion metrics for the effectiveness of ultrasound-guided dual-target injection: a longitudinal follow-up cohort trial by Wei-Ting Wu, Che-Yu Lin, Yi-Chung Shu, Lan-Rong Chen, Levent Özçakar, Ke-Vin Chang

“…Dual-target injections offer a longer duration of effectiveness compared to standard subdeltoid-subacromial injections. Future research should explore the predictive value of mVAHD with deep learning algorithms and evaluate the approach in adhesive capsulitis. …”
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Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

“…Utilizing texts from Weibo, a mainstream social media platform in China, as data sources, this study used machine learning and artificial intelligence algorithms to collect Weibo text data throughout the drought progression process. …”
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LEVELS OF PATIENTS EXPOSURE AND A POTENTIAL FOR OPTIMIZATION OF THE PET DIAGNOSTICS IN THE RUSSIAN FEDERATION by L. A. Chipiga, I. A. Zvonova, D. V. Ryzhkova, M. A. Menkov, М. B. Dolgushin

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Stochastic logic in biased coupled photonic probabilistic bits by Michael Horodynski, Charles Roques-Carmes, Yannick Salamin, Seou Choi, Jamison Sloan, Di Luo, Marin Soljačić

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Rationale and design of the HERZCHECK trial: Detection of early heart failure using telemedicine and cardiovascular magnetic resonance in structurally weak regions (NCT05122793) by Sebastian Kelle, Anna Clara Nolden, Maximilian Leo Müller, Rebecca Elisabeth Beyer, Henning Steen, Bjoern Andrew Remppis, Johannes Wieditz, Hannah Kentenich, Alex Tuit, Mina Cvetkovic, Undine Ella Witt, Florian André, Sein Schmidt, Alexander Huppertz, Dusan Simic, Dirk Müller, Arim Shukri, Matthias Issing, Andre Glardon, Katrin Christiane Reber, Ulf Landmesser, Norbert Frey, Burkert Pieske, Stephanie Stock, Volkmar Falk, Tim Friede, Gisela Thiede

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Dealing with Multiple Optimization Objectives for UAV Path Planning in Hostile Environments: A Literature Review by Thomas Quadt, Roy Lindelauf, Mark Voskuijl, Herman Monsuur, Boris Čule

“…The conflicting nature of the optimization objectives characterizes path planning as a multi-objective optimization problem. Current research has predominantly focused on developing new optimization algorithms. …”
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Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer by Zihao Bai, Hao Wang, Jingru Han, Jia An, Zhaocong Yang, Xuming Mo

“…This study applied multiomics approaches, integrating transcriptomic, epigenetic, and somatic mutation data, with consensus clustering algorithms to classify GC molecular subtypes and assess their biological and immunological features. …”
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Discontinuous surface extraction method based on 3D point cloud by Linsong Zhu, Shuangquan Li, Tianjiao Li, Tianjiao Li, Xuewu Sun, Fuqiang Ren, Fuqiang Ren

“…The methodology integrates K-nearest neighbor (KNN) search and random sample consensus (RANSAC) algorithms to compute normal vectors, followed by mean shift clustering for preliminary grouping and Euclidean clustering for discontinuity orientation. …”
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Vehicle Painting Robot Path Planning Using Hierarchical Optimization by Yuya Nagai, Hiromitsu Nakamura, Narito Shinmachi, Yuta Higashizono, Satoshi Ono

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Enhanced Farmland Extraction from Gaofen-2: Multi-Scale Segmentation, SVM Integration, and Multi-Temporal Analysis by Hang Yang, Hao Sun, Ke Wang, Jian Yang, Muhammad Hasan Ali Baig

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Order picking dataset from a warehouse of a footwear manufacturing companyMendeley Data by Rodrigo Furlan de Assis, William de Paula Ferreira, Mustapha Ouhimmou

“…This dataset is highly versatile and suitable for developing optimization algorithms for picker routing, order batching, wave generation, and intralogistics, as well as for advancing automation and robotics research through navigation-specific data for autonomous guided vehicles (AGVs) and robotic systems. …”
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A gut instinct for childhood leukemia prevention: microbiome-targeting recommendations aimed at parents and caregivers by Ersen Kameri, Ersen Kameri, Ersen Kameri, Vera Helena Jepsen, Pawel Stachura, Pawel Stachura, Nadine Rüchel, Rigveda Bhave, Leticia Benitez, Fatima Crispi, Eduard Gratacos, Nico Dragano, Stefan Janssen, Arndt Borkhardt, Arndt Borkhardt, Aleksandra Pandyra, Aleksandra Pandyra, Aleksandra Pandyra, Gesine Kögler, Gesine Kögler, Ute Fischer, Ute Fischer, Ute Fischer

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Review of organizational value of science-intensive organizations configuration models (rocket and space industry organization case) by V. А. Shiboldenkov, S. S. Gavrilov

“…The “Research Results” describes current architecture of Roscosmos (Porter value chain and Osterwalder business model). …”
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Unmanned aerial vehicles: Applications, techniques, and challenges as aerial base stations by Rinju Mariam Rolly, Pandy Malarvezhi, Thomas D Lagkas

“…This survey article focuses on the different applications and the related algorithms for realizing aerial base stations by thoroughly reviewing each related research area. …”
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Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis by Ryan Walker, Sureshkumar Perinpanayagam, Ian K. Jennions

“…Diagnosis and condition monitoring in rotating machinery has been a subject of intense research for the last century. Recent developments indicate the drive towards integration of diagnosis and prognosis algorithms in future integrated vehicle health management (IVHM) systems. …”
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Validating laboratory predictions of soil rewetting respiration pulses using field data by X. Li, X. Li, M. Pallandt, M. Pallandt, D. Naidu, D. Naidu, J. Rousk, G. Hugelius, G. Hugelius, S. Manzoni, S. Manzoni

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