Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks by Peter Appiahene, Yaw Marfo Missah, Ussiph Najim

“…It had 100% accuracy in predicting the 134 holdout sample dataset (30% banks) and a P value of 0.00. The DT was followed closely by random forest algorithm with a predictive accuracy of 98.5% and a P value of 0.00 and finally the neural network (86.6% accuracy) with a P value 0.66. …”
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Applicability of Retrospective and Prospective Gender Scores for Clinical and Health Data: Protocol for a Scoping Review by Lea Schindler, Hilke Beelich, Selina Röll, Elpiniki Katsari, Sylvia Stracke, Dagmar Waltemath

“…ConclusionsThe scoping review lays the foundation for a retrospective gender assessment by identifying scores that can be applied to existing large-scale datasets. Moreover, it will help to formulate recommendations for standardized gender scores in future investigations. …”
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Assessing climate sensitivity of the Upper Indus Basin using fully distributed, physically-based hydrologic modeling and multi-model climate ensemble approach by Hamna Hasan, Muhammad Zia ur Rahman Hashmi, Syed Imran Ahmed, Muneer Anees

“…The bias-corrected multi-model ensemble dataset accessed from the coordinated regional climate downscaling experiment (CORDEX) for two scenarios RCP 4.5 and RCP 8.5 were used up to the end of twenty-first century for the projection of stream flow. …”
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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach by Sumaira Tabassum, M. Jawad Khan, Javaid Iqbal, Asim Waris, M. Adeel Ijaz

“…However, the unavailability of large datasets, particularly those including samples with chromosomal abnormalities, presents a significant challenge. …”
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A Systematic Review of Bilateral Upper Limb Training Devices for Poststroke Rehabilitation by A. (Lex) E. Q. van Delden, C. (Lieke) E. Peper, Gert Kwakkel, Peter J. Beek

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Lithium-Ion Battery State of Health Degradation Prediction Using Deep Learning Approaches by Talal Alharbi, Muhammad Umair, Abdulelah Alharbi

“…., federated learning) approaches for SoH prediction. The NASA battery dataset, containing charging and discharging cycles, is used for model training and evaluation. …”
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Analysis of Apple Flavours: The Use of Volatile Organic Compounds to Address Cultivar Differences and the Correlation between Consumer Appreciation and Aroma Profiling by Gareth Roberts, Natasha D. Spadafora

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Synergy of governance, finance, and technology for sustainable natural resource management by Md. Mominur Rahman, Md. Emran Hossain

“…Additionally, it explores how good governance moderates the effects of these variables on natural resources. Using a panel dataset of 18 nations for 2013–2019 years, we employ a hybrid methodology that integrates Fuzzy-set Qualitative Comparative Analysis (fsQCA), Necessary Condition Analysis (NCA), and econometric modeling. fsQCA is employed to uncover and examine intricate combinations of causal conditions of the researched variables that together contribute to natural resource management. …”
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PreZon: Prediction by Zone and Its Application to Egg Productivity in Chickens by Yen-Jen Lin, Ming Li Liou, Wen Chuan Lee, Chuan Yi Tang

“…The first approach used predictions based on a single dataset, and the second approach used predictions based on the union of two datasets. …”
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Unraveling the insomnia puzzle: sleep reactivity, attention deficit hyperactivity symptoms, and insomnia severity in ADHD Patients by Hilal Uygur

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Neurological Complications following Surgical Treatments of the Lower Molars by Antonio Mancini, Angelo Michele Inchingolo, Marco Di Blasio, Elisabetta de Ruvo, Angela Di Noia, Laura Ferrante, Gaetano Del Vecchio, Andrea Palermo, Francesco Inchingolo, Alessio Danilo Inchingolo, Gianna Dipalma

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Relationship of ST-segment elevation myocardial infarction with weather and season by Okkes Zortuk, Fatih Selvi, Cihan Bedel, Mustafa Korkut

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Diverse Effects of Lead Nitrate on the Proliferation, Differentiation, and Gene Expression of Stem Cells Isolated from a Dental Origin by Mariam Abdullah, Fazliny Abd. Rahman, Nareshwaran Gnanasegaran, Vijayendran Govindasamy, Noor Hayaty Abu Kasim, Sabri Musa

“…Therefore, it is vital to have a continuous epidemiological dataset for a better understanding of Pb2+ toxicity. …”
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Consumption of a High-Fat Diet Alters Perineuronal Nets in the Prefrontal Cortex by P. M. Dingess, J. H. Harkness, M. Slaker, Z. Zhang, S. S. Wulff, B. A. Sorg, T. E. Brown

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Enhancing Thyroid Nodule Detection in Ultrasound Images: A Novel YOLOv8 Architecture with a C2fA Module and Optimized Loss Functions by Shidan Wang, Zi-An Zhao, Yuze Chen, Ye-Jiao Mao, James Chung-Wai Cheung

“…A publicly available thyroid ultrasound image dataset was optimized using format conversion and data augmentation. …”
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A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection by Yonggang Zou, Peng Wang, Lidong Du, Xianxiang Chen, Zhenfeng Li, Junxian Song, Zhen Fang

“…In addition, it uses the domain knowledge in the field of AF diagnosis for domain knowledge augmentation to generate hard samples and improve the distinguishability of ECG representations. In the cross-dataset testing mode, MLMCL had better performance and good stability on different test sets, demonstrating its effectiveness and robustness in the AF detection task. …”
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History of Illicit Stimulant Use Is Not Associated with Long-Lasting Changes in Learning of Fine Motor Skills in Humans by Gabrielle Todd, Verity Pearson-Dennett, Stanley C. Flavel, Miranda Haberfield, Hannah Edwards, Jason M. White

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Synthesis and Experimental Validation of New Designed Heterocyclic Compounds with Antiproliferative Activity versus Breast Cancer Cell Lines MCF-7 and MDA-MB-231 by Vincenza Barresi, Carmela Bonaccorso, Domenico A. Cristaldi, Maria N. Modica, Nicolò Musso, Valeria Pittalà, Loredana Salerno, Cosimo G. Fortuna

“…Based on the obtained results, we constructed a Volsurf+ (VS+) model using a dataset of 59 compounds able to predict the in vitro antitumor activity against MCF-7 cancer cell line for new derivatives. …”
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The Low Friction Coefficient and High Wear Resistance UHMWPE: The Effect of Pores on Properties of Artificial Joint Materials by Chunmin Yang, Junhua Zhang, Honglin Yue, Xueqin Kang

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Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data by Hui Liu, Jingqing Jiang, Yaowei Hou, Jie Song

“…Comparing with predefined and rigid schema, fragmentary schema means a dataset contains millions of attributes but nonorthogonally distributed among tables, and of course, values of these attributes are even massive. …”
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