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Viscosity of Ionic Liquids: Application of the Eyring's Theory and a Committee Machine Intelligent System.
In Molecules (Basel, Switzerland)
Mousavi Seyed Pezhman, Atashrouz Saeid, Nait Amar Menad, Hemmati-Sarapardeh Abdolhossein, Mohaddespour Ahmad, Mosavi Amir
CMIS modeling, Eyring’s theory, artificial intelligence, artificial neural networks, ionic liquids, machine intelligent system, machine learning, viscosity
How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning.
In Journal of religion and health
Nooripour Roghieh, Hosseinian Simin, Hussain Abir Jaafar, Annabestani Mohsen, Maadal Ameer, Radwin Laurel E, Hassani-Abharian Peyman, Pirkashani Nikzad Ghanbari, Khoshkonesh Abolghasem
Covid-19, Hope, Machine learning, Resiliency, Spiritual well-being, Stress
In Healthcare (Basel, Switzerland)
How do Covid-19 policy options depend on end-of-year holiday contacts in Mexico City Metropolitan Area? A Modeling Study.
In medRxiv : the preprint server for health sciences
Research in context :
Alarid-Escudero Fernando, Gracia Valeria, Luviano Andrea, Peralta Yadira, Reitsma Marissa B, Claypool Anneke L, Salomon Joshua A, Studdert David M, Andrews Jason R, Goldhaber-Fiebert Jeremy D
Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns.
In NeuroImage. Clinical
Liang Sugai, Deng Wei, Li Xiaojing, Greenshaw Andrew J, Wang Qiang, Li Mingli, Ma Xiaohong, Bai Tong-Jian, Bo Qi-Jing, Cao Jun, Chen Guan-Mao, Chen Wei, Cheng Chang, Cheng Yu-Qi, Cui Xi-Long, Duan Jia, Fang Yi-Ru, Gong Qi-Yong, Guo Wen-Bin, Hou Zheng-Hua, Hu Lan, Kuang Li, Li Feng, Li Kai-Ming, Liu Yan-Song, Liu Zhe-Ning, Long Yi-Cheng, Luo Qing-Hua, Meng Hua-Qing, Peng Dai-Hui, Qiu Hai-Tang, Qiu Jiang, Shen Yue-Di, Shi Yu-Shu, Si Tian-Mei, Wang Chuan-Yue, Wang Fei, Wang Kai, Wang Li, Wang Xiang, Wang Ying, Wu Xiao-Ping, Wu Xin-Ran, Xie Chun-Ming, Xie Guang-Rong, Xie Hai-Yan, Xie Peng, Xu Xiu-Feng, Yang Hong, Yang Jian, Yu Hua, Yao Jia-Shu, Yao Shu-Qiao, Yin Ying-Ying, Yuan Yong-Gui, Zang Yu-Feng, Zhang Ai-Xia, Zhang Hong, Zhang Ke-Rang, Zhang Zhi-Jun, Zhao Jing-Ping, Zhou Ru-Bai, Zhou Yi-Ting, Zou Chao-Jie, Zuo Xi-Nian, Yan Chao-Gan, Li Tao
Biotypes, Default mode network, Machine learning, Major depressive disorder, Resting-state fMRI
DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity.
In bioRxiv : the preprint server for biology
Data Availability :
Li Guangyuan, Iyer Balaji, Prasath V B Surya, Ni Yizhao, Salomonis Nathan