Rare ice-base temperature measurements in Antarctica reveal a cold base in contrast with predictions by Pavel G. Talalay, German Leitchenkov, Vladimir Lipenkov, Youhong Sun, Nan Zhang, Da Gong, Yunchen Liu, Yazhou Li, Yuchen Sun, Ilnur Abdrakhmanov, Mstislav Vorobyev, Damir Khalimov, Xiaopeng Fan, Andrey Salamatin, Alexey A. Ekaykin, Bing Li

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Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides by Ching-Wei Wang, Nabila Puspita Firdi, Yu-Ching Lee, Tzu-Chiao Chu, Hikam Muzakky, Tzu-Chien Liu, Po-Jen Lai, Tai-Kuang Chao

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AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact. by Monica Golumbeanu, Olivier Briët, Clara Champagne, Jeanne Lemant, Munir Winkel, Barnabas Zogo, Maximilian Gerhards, Marianne Sinka, Nakul Chitnis, Melissa Penny, Emilie Pothin, Tom Smith

“…To facilitate this process and make model predictions of intervention impact available for different geographical regions, we developed AnophelesModel. …”
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Spike-phase coupling of subthalamic neurons to posterior perisylvian cortex predicts speech sound accuracy by Matteo Vissani, Alan Bush, Witold J. Lipski, Latané Bullock, Petra Fischer, Clemens Neudorfer, Lori L. Holt, Julie A. Fiez, Robert S. Turner, R. Mark Richardson

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The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

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Prediction on Slip Modulus of Screwed Connection for Timber–Concrete Composite Structures Based on Machine Learning by Wen-Wu Lu, Yu-Wei Chen, Ji-Gang Xu, Hui-Feng Yang, Hao-Tian Tao, Wei Zheng, Ben-Kai Shi

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Analog Ensemble Forecasts of Solar Wind Parameters: Quantification of the Predictability and Time‐Domain Spectral Performance by Pauline A. Simon, Christopher H. K. Chen, Mathew J. Owens, Chaitanya Sishtla

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Systematic analysis of the relationship between fold-dependent flexibility and artificial intelligence protein structure prediction. by Neshatul Haque, Jessica B Wagenknecht, Brian D Ratnasinghe, Michael T Zimmermann

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AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs by Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian

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A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scores by Yasaman Fatapour, James P. Brody

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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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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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