Early Postoperative Pain Control and Inflammation for Total Knee Arthroplasty: A Retrospective Comparison of Continuous Adductor Canal Block versus Single-Shot Adductor Canal Block... by Xiaojuan Yang, Jun Dong, Wei Xiong, Fusen Huang

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Adherence to the Mediterranean diet and colorectal cancer risk: a large case control study in the Moroccan population by Khaoula El Kinany, Zineb Hatime, Achraf El Asri, Abdelilah Benslimane, Meimouna Deoula, Btissame Zarrouq, Pagona Lagiou, Karima El Rhazi

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Age-Related Macular Degeneration (AMD) Transmitochondrial Cybrids Protected from Cellular Damage and Death by Human Retinal Progenitor Cells (hRPCs) by Jeffrey J. Yu, Daniel B. Azzam, Marilyn Chwa, Kevin Schneider, Jang-Hyeon Cho, Chinhui Hsiang, Henry Klassen, M. Cristina Kenney, Jing Yang

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Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data by Biao Zhang, Zhichao Wang, Tiantian Ma, Zhihao Wang, Hao Li, Wenxu Ji, Mingyang He, Ao Jiao, Zhongke Feng

“…The findings demonstrate that the ATL03/08 fusion dataset surpasses the other datasets in terms of CH estimation accuracy and uncertainty, delivering enhanced precision and stability. …”
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CCR7 and CD48 as Predicted Targets in Acute Rejection Related to M1 Macrophage after Pediatric Kidney Transplantation by Jie Zhang, Jun Pei, Chengjun Yu, Jin Luo, Yifan Hong, Yi Hua, Guanghui Wei

“…A differential expression genes (DEGs) analysis was performed based on the dataset GSE174020 from the NCBI gene Expression Synthesis Database (GEO) and then combined with the GSE5099 M1 macrophage-related gene identified in the Molecular Signatures Database. …”
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Bone health in newly diagnosed female breast cancer patients in China: a cross-sectional study by Juan Wu, Xin-yu Liang, Lei Hu, Ying Li, Liang Ran, Rui-ling She, Xiu-quan Qu, Bai-qing Peng, Kai-nan Wu, Jing Wang, Ling-quan Kong

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Penerapan Algoritma Fuzzy Mamdani untuk Memberikan Saran yang Optimal dalam Pengambilan Keputusan pada Permainan KArtu Monster by Muhammad Rizky Perdana, Andika Sundawaijaya, Ahlijati Nuraminah

“…From these results, recommendations for further research include adding cards to the dataset such as several different card types and adding or using different methods and analysis of adding input to fuzzy variables to increase system accuracy in choosing more optimal card suggestions. …”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…Results The pooled ACTION and ASCORE dataset included 5320 patients with RA (mean [standard deviation] age 57.7 [12.7] years; 79% female). …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Metode ensemble learning yang digunakan adalah Random Forest dan Light Gradien Boosting Machine (LGBM). Dengan menggunakan dataset Penn-Fudan Database for Pedestrian yang mengandung imbalanced class. …”
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Hypokalaemia and outcomes in older patients hospitalized for heart failure by Miroslava Valentova, Samir Patel, Phillip H. Lam, Charles Faselis, Cherinne Arundel, Gregg C. Fonarow, Yan Cheng, Richard M. Allman, Stephan vonHaehling, Stefan D. Anker, Ali Ahmed

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Macroecological predictors to determine future refuges of Luciobarbus species in the Tigris–Euphrates basin: Rethinking conservation strategies and management by Hadi Khoshnamvand, Seyed Mohsen Mousavi, Asef Darvishi, Kourosh Ahmadi, Amir Naghibi, Karel Janko, Asghar Abdoli, Faraham Ahmadzadeh

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Design and Application of a Data-computation Integrated Database for Meteorological Grid Data by Wang Shu, Xu Yongjun, He Wenchun, Wu Huanping, Gao Feng, Liu Yuanyuan, Liu Bei, Lü Guanru, Ni Xuelei

“…When data is imported into the database, it is stored in a standardized and uniform manner. Each dataset comprises two components: A header file and entity data, both of which are stored in binary format. …”
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Mediolateral episiotomy and obstetric anal sphincter injuries in nullipara: a propensity score matching study by Or Bercovich, Daniela Chen, Bar Narkis, Anat Pardo, Eran Hadar, Asnat Walfisch, Ohad Houri

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Integrative bioinformatic approach reveals novel melatonin-related biomarkers for Alzheimer’s disease by Hua-xiong Zhang, Dilmurat Hamit, Qing Li, Xiao Hu, San-feng Li, Fu Xu, Ming-yuan Wang, Guo-qing Bao, Hong-yan Li

“…Methods: First, the key cells in the single-cell dataset GSE138852 were screened out based on the proportion of annotated cells and Fisher’s test between the AD and control groups. …”
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Anomaly Detection in High Mobility MDT Traces Through Self-Supervised Learning by J. M. Sanchez-Martin, C. Gijon, M. Toril, S. Luna-Ramirez, V. Wille

“…Supervised Learning (SL) allows to train automatic systems for detecting abnormal MDT measurements by using a labeled dataset. Unfortunately, labeling MDT data is a labor-intensive task, that can be alleviated by using Self-Supervised Learning (SSL). …”
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Family history of cardiovascular disease and death in patients with out-of-hospital cardiac arrest by Magnus Gylling, Johanna Krøll, Peder Emil Warming, Carolina Malta Hansen, Fredrik Folke, Steen M. Hansen, Lars Køber, Christian Torp-Pedersen, Rodrigue Garcia, Jacob Tfelt-Hansen, Peter E. Weeke

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Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection by Rafał Kozik, Marek Pawlicki, Michał Choraś, Witold Pedrycz

“…We then report promising results on a benchmark dataset.…”
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Improving Freedom of Visually Impaired Individuals with Innovative EfficientNet and Unified Spatial-Channel Attention: A Deep Learning-Based Road Surface Detection System by Amit Chaudhary, Prabhat Verma

“…Through rigorous training and evaluation on a substantial dataset of road images, our modified system exhibited remarkable performance, accurately identifying road surfaces with an impressive 99.39% accuracy rate. …”
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Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method by Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan, Eman M. Anwar

“…Two features of extraction methods: linear discriminant analysis (LDA) and principal component analysis (PCA), are used to select essential features from the dataset. The comparison between machine learning algorithms and ensemble learning methods is applied to selected features. …”
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Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
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