Prediction and prevention of crowd-crush accidents using crowd-density simulation based on unity engine by Chul-Ho Choi, Sung-Wook Park, Jun Park, Jong-Hoon Kim, Jin-Seong Kim, Hyun-Sung Yang, Bok-Eun Lee, Se-Hoon Jung, Chun-Bo Sim

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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

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Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume by Ting-Wen Sheng, Djeane Debora Onthoni, Pushpanjali Gupta, Tsong-Hai Lee, Prasan Kumar Sahoo

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Exhaustion of Activated CD8 T Cells Predicts Disease Progression in Primary HIV-1 Infection. by Matthias Hoffmann, Nikos Pantazis, Genevieve E Martin, Stephen Hickling, Jacob Hurst, Jodi Meyerowitz, Christian B Willberg, Nicola Robinson, Helen Brown, Martin Fisher, Sabine Kinloch, Abdel Babiker, Jonathan Weber, Nneka Nwokolo, Julie Fox, Sarah Fidler, Rodney Phillips, John Frater, SPARTAC and CHERUB Investigators

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The manifestation of VIS-NIRS spectroscopy data to predict and mapping soil texture in the Triffa plain (Morocco) by Ayoub Lazaar, Biswajeet Pradhan, Zakariae Naiji, Abdelali Gourfi, Kamal El Hammouti, Karim Andich, Abdelilah Monir

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Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning by Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, Lisbeth Truelstrup Hansen, Leonid Chindelevitch, Pimlapas Leekitcharoenphon

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Angiographic assessment of lenticulostriate artery sign to predict clinical outcomes after thrombectomy in patients with stroke by Shen Chen, Lisong Dai, Yiran Zhang, Xiaoer Wei, Bicong Yan, Yuehua Li

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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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Microwave ablation for small papillary thyroid carcinomas: clinical outcomes and thyroid function preservation by Lu Zhao, Xiaolin Peng, Jianning Xiong, Yanhui Zhu, Mu Song

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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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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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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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