A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting by Jiawen Li, Binfan Lin, Peixian Wang, Yanmei Chen, Xianxian Zeng, Xin Liu, Rongjun Chen

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Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection by Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Ashu Abdul, Jenhui Chen

“…To determine the method’s efficiency, the evaluation metrics RMSE, MSE, and MAE are used, and the time required to evaluate the computation is also computed. …”
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The impact of age and sex on the occurrence of pathology in the wall of the upper gastrointestinal tract by Przemysław Dyrla, Jerzy Gil, Stanisław Niemczyk, Marek Saracyn, Krzysztof Kosik, Sebastian Czarkowski, Arkadiusz Lubas

“…Identification of lesions located inside the wall of intestinal tract or in close proximity often was not possible using endoscopy or computed tomography. Aim : The study was a retrospective evaluation of the occurrence of submucosal lesions (SML) and thickened wall (TW) of the upper gastrointestinal tract (UGIT) depending on age and sex. …”
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Cost analysis of treating cardiovascular diseases in a super-specialty hospital. by Atul Kumar, Vijaydeep Siddharth, Soubam Iboyaima Singh, Rajiv Narang

“…Cardiovascular care is expensive; hence, economic evaluation is required to estimate resources being consumed and to ensure their optimal utilization. …”
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Synthesis, physical and chemical research of alkyl-, heterylderivatives of 7'-((4-ethyl-5-thio-4H-1,2,4-triazoles-3-yl)methyl)theophylline by A. S. Gotsulya

“…Conclusion. 13 New compounds have been obtained and their structure has been confirmed. Indicators of computer evaluation of synthesized compounds using the PASS program have been researched. …”
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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…With the amount of large data available, these computer algorithms are ever increasing in numerous fields, although there is ongoing scepticism and scholars still question the actual impact and deliverables of algorithms. …”
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mRNA vaccine design using the proteome of Theileria annulata through immunoinformatics approaches by Roohollah Fattahi, Behrooz Sadeghi Kalani

“…By leveraging immunoinformatics methodologies, a novel mRNA vaccine candidate was tailored using computational analyzes of Theileria annulata proteins. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…The research aims to develop a deep convolutional neural network algorithm to produce an early detection system for diabetic foot complications with the lowest computational cost (least number of parameters) and maintain high detection capability (highest average value of evaluation parameters). …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Supporting self-management with an internet intervention for low back pain in primary care: a RCT (SupportBack 2) by Adam W A Geraghty, Taeko Becque, Lisa C Roberts, Jonathan Hill, Nadine E Foster, Lucy Yardley, Beth Stuart, David A Turner, Gareth Griffiths, Frances Webley, Lorraine Durcan, Alannah Morgan, Stephanie Hughes, Sarah Bathers, Stephanie Butler-Walley, Simon Wathall, Gemma Mansell, Malcolm White, Firoza Davies, Paul Little

“…Design A multicentre, pragmatic, three parallel-arm randomised controlled trial with parallel economic evaluation. Setting Participants were recruited from 179 United Kingdom primary care practices. …”
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Wind Turbine Wake Regulation Method Coupling Actuator Model and Engineering Wake Model by Kuichao Ma, Jiaxin Zou, Qingyang Fan, Xiaodong Wang, Wei Zhang, Wei Fan

“…Engineering wake models are widely used for rapid evaluation of the wake at present due to lower computational resource cost. …”
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Giant Desmoid Tumor of the Anterior Abdominal Wall in a Young Female: A Case Report by Mahim Koshariya, Samir Shukla, Zuber Khan, Vaibhav Vikas, Avinash Pratap Singh, Puspendra Baghel, Varun Pendro, Vishal Kirti Jain, Shrikant Jagdish Jai, Sanjeev Kumar, M. C. Songra

“…The patient had no history of an earlier abdominal surgery. Preoperative evaluation included abdominal ultrasound, computed tomography, and magnetic resonance imaging. …”
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Exploration of cyclooxygenase-2 inhibitory peptides from walnut dreg proteins based on in silico and in vitro analysis by Zishan Hong, Jing Xie, Liang Tao, Jing-Jing Dai, Tingting Li, Li Zhang, Yuying Bai, Xia Hu, Jinlian Chen, Jun Sheng, Yang Tian

“…These results demonstrate that computer analysis combined with in vitro evaluation allows for rapid screening of COX-2 inhibitory peptides in walnut protein dregs.…”
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Accurate full-scale patient-specific Circle of Willis models including aneurysms: A novel manufacturing approach. by Jan Gottfried Minkenberg, Lara Bender, Christiane Franz, Rebecca May, Omid Nikoubashman, Martin Wiesmann, Thorsten Sichtermann

“…<h4>Background</h4>Accurate physical replicas of the Circle of Willis (CoW) are valuable for planning neuroendovascular interventions, validating computational simulations, evaluating medical devices and training physicians. …”
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A Comprehensive Survey of Research Trends in mmWave Technologies for Medical Applications by Xiaoyu Zhang, Chuhui Liu, Yanda Cheng, Zhengxiong Li, Chenhan Xu, Chuqin Huang, Ye Zhan, Wei Bo, Jun Xia, Wenyao Xu

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A Drilling Debris Tracking and Velocity Measurement Method Based on Fine Target Feature Fusion Optimization by Jinteng Yang, Yu Bao, Zumao Xie, Haojie Zhang, Zhongnian Li, Yonggang Li

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Vision Transformer Embedded Feature Fusion Model with Pre-Trained Transformers for Keratoconus Disease Classification by Md Fatin Ishrak, Md Maruf Rahman, Md Imran Kabir Joy, Anna Tamuly, Salma Akter, Dewan M. Tanim, Shahajada Jawar, Nayeem Ahmed, Md Sadekur Rahman

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Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…Our research is based on 3755 LORs and 1973 SOIs extracted from the application records of Fordham University’s Master’s programs in Computer Science and Data Science. To facilitate the construction and evaluation of detection models, we generated AI counterparts for each LOR and SOI using the GPT-3.5 Turbo API. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

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MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5 by Siginamsetty Phani, Ashu Abdul, M. Krishna Siva Prasad, V. Dinesh Reddy

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