Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

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Analisis Kredit Pembayaran Biaya Kuliah Dengan Pendekatan Pembelajaran Mesin by Arliyanti Nurdin, Rizqa Amelia Zunaidi, Muhammad Arkan Fauzan Wicaksono, Agi Lobita Japtara Martadinata

“…Pada penelitian ini, algoritma machine learning digunakan untuk analisis kredit pembayaran biaya kuliah pada perguruan tinggi. Dataset yang digunakan adalah data riwayat tagihan, transaksi pembayaran, dan data pengajuan kredit/ angsuran. …”
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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

“…This study aimed to investigate the performance and interpretability of several ML algorithms, including deep multilayer perceptron (Deep MLP), support vector machine (SVM) and Extreme gradient boosting trees (XGBoost) for predicting COVID-19 mortality risk with an emphasis on the effect of cross-validation (CV) and principal component analysis (PCA) on the results. For this purpose, a dataset with 154 features from 490 COVID-19 patients admitted into the intensive care unit (ICU) of Tygerberg Hospital in Cape Town, South Africa, during the first wave of COVID-19 in 2020 was retrospectively analysed. …”
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IL-17A, IL-22, IL-6, and IL-21 Serum Levels in Plaque-Type Psoriasis in Brazilian Patients by Priscilla Stela Santana de Oliveira, Pablo Ramon Gualberto Cardoso, Emerson Vasconcelos de Andrade Lima, Michelly Cristiny Pereira, Angela Luzia Branco Pinto Duarte, Ivan da Rocha Pitta, Moacyr Jesus Barreto de Melo Rêgo, Maira Galdino da Rocha Pitta

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Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

“…EfficientParkingNet has an accuracy rate of 98.44% for the National Research Council parking dataset and higher than other architectures. EfficientParkingNet is suitable for use in parking systems with low computing devices such as the Raspberry Pi because of the small number of parameters.…”
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Predicting egg production rate and egg weight of broiler breeders based on machine learning and Shapley additive explanations by Hengyi Ji, Yidan Xu, Ganghui Teng

“…Based on this data, we developed three different datasets. In each dataset, data from a single poultry house were divided into a training set and a validation set in an 8:2 ratio, and data from the remaining two poultry houses were combined to form the test set. …”
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The Hobby–Eberly Telescope Dark Energy Experiment Survey (HETDEX) Active Galactic Nuclei Catalog: The Fourth Data Release by Chenxu Liu, Karl Gebhardt, Erin Mentuch Cooper, Dustin Davis, Donald P. Schneider, Matt J. Jarvis, Daniel J. Farrow, Steven L. Finkelstein, Óscar A. Chávez Ortiz, The HETDEX Collaboration

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Individualized diagnosis of Parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes by Qianqian Ye, Chenhui Lin, Fangyi Xiao, Tao Jiang, Jialong Hou, Yi Zheng, Jiaxue Xu, Jiani Huang, Keke Chen, Jinlai Cai, Jingjing Qian, Weiwei Quan, Yanyan Chen

“…ObjectiveTo explore MRI-based radiomics models, integrating clinical characteristics, for differential diagnosis of Parkinson’s disease (PD) to evaluate their diagnostic performance.MethodsA total of 256 participants [153 PD, 103 healthy controls (HCs)] from the First Affiliated Hospital of Wenzhou Medical Hospital, were enrolled as the training set, and 120 subjects (74 PD, 46 HCs) from the PPMI dataset served as the test set. Radiomics features were extracted from structural MRI (T1WI and T2-FLair). …”
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Identification of Potential lncRNAs and miRNAs as Diagnostic Biomarkers for Papillary Thyroid Carcinoma Based on Machine Learning by Fei Yang, Jie Zhang, Baokun Li, Zhijun Zhao, Yan Liu, Zhen Zhao, Shanghua Jing, Guiying Wang

“…The data of lncRNA, miRNA, and mRNA were downloaded from the Cancer Genome Atlas (TCGA) dataset, followed by functional analysis of differentially expressed mRNAs. …”
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Plasma myeloperoxidase interactions with cadmium, lead, arsenic, and selenium and their impact on chronic kidney disease by Hsi-Hsien Chen, Ya-Li Huang, Chih-Yin Wu, Mei-Chieh Chen, Horng-Sheng Shiue, Sheng-Lun Hsu, Ying-Chin Lin, Yu-Mei Hsueh

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Summer Research Internship Curriculum to Promote Self-Efficacy, Researcher Identity, and Peer-to-Peer Learning: Retrospective Cohort Study by Yulia A Levites Strekalova, Rachel Liu-Galvin, Samuel Border, Sara Midence, Mishal Khan, Maya VanZanten, John Tomaszewski, Sanjay Jain, Pinaki Sarder

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Earliness and morphotypes of common wheat cultivars of Western and Eastern Siberia by S. E. Smolenskaya, V. M. Efimov, Y. V. Kruchinina, B. F. Nemtsev, G. Y. Chepurnov, E. S. Ovchinnikova, I. A. Belan, E. V. Zuev, Chenxi Zhou, V. V. Piskarev, N. P. Goncharov

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A randomized, placebo-controlled, cross-over trial of ketamine in Rett syndrome by Kathleen Campbell, Jeffrey L. Neul, David N. Lieberman, Elizabeth Berry-Kravis, Tim A. Benke, Cary Fu, Alan Percy, Bernhard Suter, David Morris, Randall L. Carpenter, Eric D. Marsh, Jana von Hehn

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Clinicopathological relationship between PM2.5 exposure and acute exacerbations of chronic obstructive pulmonary disease by Anfeng Cui, Yingying Shao, Yang Wang, Haodong Wang, Jiayi Song, Caiji Liu, Ningning Shen, Zhiqing Yang, Wangliang Zhang, Tiane Luo, Chen Wang

“…This data was paired with Shanxi's average monthly PM2.5 data from the Tracking Air Pollution in China (TAP) dataset. Correlations between PM2.5 levels and AECOPD clinicopathological features were assessed using ANOVA and Spearman’s correlation. …”
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Identification and validation of the important role of KIF11 in the development and progression of endometrial cancer by Biying Wang, Lunmin Bao, Xiaoduo Li, Guang Sun, Wu Yang, Nanzi Xie, Ling Lei, Wei Chen, Hailong Zhang, Man Chen, Xing Zhao, Xiufang Wan, Rui Yuan, Hongmei Jiang

“…Methods The GSE17025 dataset from the GEO database was analyzed via the limma package to identify differentially expressed genes (DEGs) in EC. …”
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The Modulation of Laser Refractive Surgery on Sensory Eye Dominance of Anisometropia by Hongting Liu, Qi Chen, Fangfang Lan, Yan Luo, Enwei Lin, Wuqiang Luo, Ming Kong, Jiangxia Wang, Fengju Zhang

“…The dichoptic motion coherence threshold technique was applied to collect the normal dataset and distribution of sensory eye dominance. …”
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The association of gut microbiota, immunocyte dynamics, and protein–protein ratios with tuberculosis susceptibility: a Mendelian randomization analysis by Hanxin Wu, Weijie Ma, Liangyu Zhu, Li Peng, Xun Huang, Lei Zhong, Rui Yang, Bingxue Li, Weijiang Ma, Li Gao, Xinya Wu, Jieqin Song, Suyi Luo, Fukai Bao, Aihua Liu

“…By analyzing the GWAS data of individuals with European ancestry (the FinnGen dataset included 409,568 controls and 2613 cases), using the two-sample MR method, we focused on evaluating the impact of immunocyte-mediated gut microbiota on tuberculosis and the associations between 2821 plasma protein-to-protein ratios and tuberculosis. …”
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Characterization of adult T-cell leukemia/lymphoma patients with specific skin lesions in a tertiary dermatological service in Brazil by Mariana Valente, José Antonio Sanches, Youko Nukui, Jade Cury-Martins, Bruno Castro Souza, Juliana Pereira, Denis Miyashiro

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A Novel Immune-Related lncRNA-Based Model for Survival Prediction in Clear Cell Renal Cell Carcinoma by Zedan Zhang, Yanlin Tang, Yanjun Liu, Hongkai Zhuang, Enyu Lin, Lu Xie, Xiaoqiang Feng, Kaiwen Tian, Jiayi Zeng, Jiumin Liu, Yuming Yu

“…Then AJCC-stage, Fuhrman-grade, pharmaceutical, age, and risk score regarded as independent prognostic factors were integrated to construct a nomogram, whose good performance in predicting 3-, 5-, and 7-year overall survival of ccRCC patients was revealed by time-dependent ROC curves and verified by the testing sets and ICGC dataset. The calibration plots showed great agreement of the nomogram between predicted and observed outcomes. …”
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Framework for smartphone-based grape detection and vineyard management using UAV-trained AI by Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, Antonio Carlos Cob-Parro, Miquel Mila, João Valente

“…To this end, using a dataset of UAV videos recorded during early growth stages in July (BBCH77-BBCH79), the X-Decoder segments vegetation in the front of the frames from their background and surroundings. …”
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