Drug risk Factors Associated with a Sustained Outbreak of Clostridium difficile Diarrhea in a Teaching Hospital by Swapan K Nath, Suzette Salama, Devia Persaud, James H Thornley, Ian Smith, Gary Foster, Coleman Rotstein

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The Impact of Preoperative Opioid Use Disorder on Complications and Costs following Primary Total Hip and Knee Arthroplasty by Jacob M. Wilson, Kevin X. Farley, Matthew Aizpuru, Eric R. Wagner, Thomas L. Bradbury, George N. Guild

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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…Abstract Background The aim of this study was to evaluate the potential models to determine the most important anthropometric factors associated with type 2 diabetes mellitus (T2DM). Method A dataset derived from the Mashhad Stroke and heart atherosclerotic disorders (MASHAD) study comprising 9354 subject aged 65 − 35. 25% (2336 people) of subjects were diabetic and 75% (7018 people) where non-diabetic was used for the analysis of 10 anthropometric factors and age that were measured in all patients. …”
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Clinical Comparative Study of Intravitreal Injection of Triamcinolone Acetonide and Aflibercept in the Treatment of Diabetic Retinopathy Cystoid Macular Edema by Yanxia Zhu, Jun Li, Songping Yu, Bangxun Mao, Jia Ying

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Application of human-in-the-loop hybrid augmented intelligence approach in security inspection system by Ying Huang, Ying Huang, XiaoKan Wang, XiaoKan Wang, Yong Zhang, Yong Zhang, Li Chen, Li Chen, HongJi Zhang

“…Comparative experiments on a dataset from a specific security inspection site confirmed the hybrid method’s effectiveness, drawing several conclusions. …”
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Intercostal Nerve Cryoablation During Lobectomy for Postsurgical Pain: A Safe and Cost-Effective Intervention by Daniel L. Miller, Jacob Hutchins, Michael A. Ferguson, Yazid Barhoush, Emily Achter, John P. Kuckelman

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Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

“…Although RNN did not surpass classical SARIMA in data prediction, it demonstrated superior goodness-of-fit on the training dataset. Furthermore, we investigated extinction and invasion scenarios within the Terceira arthropod assemblage, providing insight into broader implications and avenues for future research. …”
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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study by William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju

“…The launch of open-access DDE datasets has the potential to stimulate further research and novel discoveries in this field.…”
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Elderly Patients with Nondistant Metastatic Pancreatic Head Adenocarcinoma Cannot Benefit from More Radical Surgery by Li Chen, Lanning Jia, Zhigang Tian, Yang Yang, Ke Zhao

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Exploring the impact of occupational exposure: A study on cardiovascular autonomic functions of male gas station attendants in Sri Lanka by Tania Warnakulasuriya, Kushan Medagoda, Dulani Kottahachchi, Dunya Luke, Dilesha Wadasinghe, Prasanna Rathnayake, Janaki Ariyawansa, Tharuka Dissanayake, Pavani Sandeepani, Deepthi C. De Silva, Niranga Manjuri Devanarayana

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Dynamic non-coding RNA biomarker reveals lung injury and repair induced by polystyrene nanoplastics by Sheng Yang, Yiling Ge, Tianyi Zhang, Lihong Yin, Yuepu Pu, Zaozao Chen, Geyu Liang

“…Notably, through BisqueRNA analysis for a single-cell dataset and canonical markers verification, it was found that PS-NPs induced the emergence and accumulation of transitional cells, suggesting impaired alveolar epithelial repair processes. …”
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High Content Analysis of Human Pluripotent Stem Cell Derived Hepatocytes Reveals Drug Induced Steatosis and Phospholipidosis by Arvind Pradip, Daniella Steel, Susanna Jacobsson, Gustav Holmgren, Magnus Ingelman-Sundberg, Peter Sartipy, Petter Björquist, Inger Johansson, Josefina Edsbagge

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Molecular Identification and Traceability of Illegal Trading in Lignobrycon myersi (Teleostei: Characiformes), a Threatened Brazilian Fish Species, Using DNA Barcode by Alexandre dos Santos Rodrigues, José Henrique Souza Galdino Brandão, Jamille de Araújo Bitencourt, Ricardo Jucá-Chagas, Iracilda Sampaio, Horácio Schneider, Paulo Roberto Antunes de Mello Affonso

“…In order to provide a reliable DNA barcode dataset for L. myersi, we compared mitochondrial sequences of cytochrome c oxidase subunit I (COI) from fresh, frozen, and salt-preserved specimens. …”
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Pengukuran Kemiripan Makna Menggunakan Cosine Similarity dan Basis Data Sinonim Kata by Ardi Sanjaya, Ahmad Bagus Setiawan, Umi Mahdiyah, Intan Nur Farida, Aprisa Risky Prasetyo

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Polyoxovanadate-modified SnO2 electron transport layer for perovskite photodetectors by Ziting Liu, Yijia Hao, Jing Zhang, Yi He, Weilin Chen

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Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions by Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti

“…Methods We leveraged a dataset obtained from 50 patients with PBH after Roux-en-Y gastric bypass, monitored for up to 50 days under unrestricted real-life conditions. …”
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Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling by Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis

“…As such, the underlying basis functions are selected to minimize the percentage of erroneous predictions (EP) in the hypoglycaemic region, with EP being evaluated with continuous glucose error grid analysis (CG-EGA). The dataset comprises 29 individuals with T1D, who were monitored for 2 to 4 weeks during the GlucoseML prospective observational clinical study. …”
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Changes in Serum Immunoglobulin Levels Play as Predictors of Treatment Response and Prognosis in Pediatric Idiopathic Nephrotic Syndrome During the Remission Phase by Amin sadat Sharif, Naghmeh Nickravesh, Marzieh Heidarzadeh Arani, Mohammad Javad Azadchehr, Hossein Motedayyen

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Deep Joint Demosaicking and Super-Resolution for Spectral Filter Array Images by Abdelhamid N. Fsian, Jean-Baptiste Thomas, Jon Y. Hardeberg, Pierre Gouton

“…With our proposed method, we obtained on the ARAD-1K dataset an average PSNR of 48.02 (dB) for domosaicking only, equivalent to the best method of the state-of-the-art. …”
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt. The CVC ClinicDB dataset supports this process, containing 1650 colonoscopy images classified as polyps or non-polyps. …”
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