MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

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Assessing the performance of 28 pathogenicity prediction methods on rare single nucleotide variants in coding regions by Jee Yeon Heo, Ju Han Kim

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Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches by Tianyang Li, Zheng Yang, Junyi Cui, Wenjie Chen, Rami Almatani, Yingjie Wu

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Immune response in a wild bird is predicted by oxidative status, but does not cause oxidative stress. by Dominic L Cram, Jonathan D Blount, Jennifer E York, Andrew J Young

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Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder by Ameet Shah, Dhanpratap Singh, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

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Modeling Price Dynamics and Risk Forecasting in Tehran Stock Exchange Market: Nonlinear and Non-gaussian Models of Stochastic Volatility by Moslem Nilchi, Daryush Farid

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Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models by Kennedy C. Onyelowe, Viroon Kamchoom, Tammineni Gnananandarao, Krishna P. Arunachalam

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On-chip 3D potency assay for prediction of clinical outcomes for cell therapy candidates for osteoarthritis by Rebecca S. Schneider, Elisa B. Nieves, Bhavay Aggarwal, Annie C. Bowles-Welch, Hazel Y. Stevens, Linda E. Kippner, Scott D. Boden, Kenneth Mautner, Hicham Drissi, Krishnendu Roy, Wilbur A. Lam, Saurabh Sinha, Andrés J. García

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Genomic scarring score predicts the response to PARP inhibitors in non-small cell lung cancer by Katerina Tsilingiri, Anna Chalari, Georgia Christopoulou, Alexandra Voutsina, Pantelis Constantoulakis, Κonstantinos Potaris, Ioannis Vamvakaris, Dora Hatzidaki, Georgina Zachou, Giannis Vatsellas, Vassilis Georgoulias, Athanasios Kotsakis, Apostolos Klinakis

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A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning Methods by Xinhua Liu, Kaiyi Yang, Lisheng Zhang, Wentao Wang, Sida Zhou, Billy Wu, Mengyu Xiong, Shichun Yang, Rui Tan

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Automatic Prediction and Identification of Smart Women Safety Wearable Device Using Dc-RFO-IoT by Koppula Srinivas Rao, D. V. Divakara Rao, Ibrahim Patel, K. Saikumar, D. Vijendra Babu

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Comparison of frailty instruments for predicting mortality and prolon ged hospitalization in acute coronary syndrome patients. by Anne Langsted, Jocelyne Benatar, Andrew Kerr, Katherine Bloomfield, Gerry Devlin, Alexander Sasse, David Smythe, Andrew To, Harvey White, Gerrard Wilkins, Ralph Stewart

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A Human-Centered Approach to Academic Performance Prediction Using Personality Factors in Educational AI by Muhammad Adnan Aslam, Fiza Murtaza, Muhammad Ehatisham Ul Haq, Amanullah Yasin, Muhammad Awais Azam

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Non-Destructive Prediction of Apple Moisture Content Using Thermal Diffusivity Phenomics for Quality Assessment by Jung-Kyu Lee, Moon-Kyung Kang, Dong-Hoon Lee

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The role of prenatal stress and maternal trauma responses in predicting children’s mental health during war by Karen Yirmiya, Amit Klein, Shir Atzil, Noa Yakirevich-Amir, Rena Bina, Inbal Reuveni

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Dynamic behavior analysis of copper wire for predicting defects in the winding process of a motor coil by Masato NAGANO, Taichi HIROSAWA, Hidefumi WAKAMATSU, Yoshiharu IWATA, Hironori SUZUKI, Takumi NAKAUE, Takahiro TANAKA

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A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization by Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah

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Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines by Alexandra Razumovskaya, Mariia Silkina, Mariia Silkina, Mariia Silkina, Andrey Poloznikov, Timur Kulagin, Maria Raigorodskaya, Nina Gorban, Anna Kudryavtseva, Maria Fedorova, Boris Alekseev, Alexander Tonevitsky, Alexander Tonevitsky, Alexander Tonevitsky, Sergey Nikulin, Sergey Nikulin, Sergey Nikulin

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Modeling the ecological niche of rhamnus prinoides L. under climate change scenarios: a MaxEnt modeling approach by Yikunoamlak Gebrewahid, Gebru Eyasu, Esayas Meresa, Selemawi Abrehe, Girmay Darcha, Ashenafi Manaye, Berihu Tesfamariam

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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

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