| 1 | Mechanical Characteristics and Mechanism of Granite Subjected to Coupling Effect of Acidic Corrosion and Freeze-Thaw Cycles显示文摘The typical climatic and environmental conditions in Central Asia are major natural factors causing local rock masses to face considerable risks of damage due to constant freeze-thaw cycles. In addition, these are exacerbated by the dense acidic environments in certain industrialized areas, such as Northern Sinkiang, China. To provide local engineering design with workable solutions, it is crucial to analyze the mechanical performance of rock masses and its mechanisms under the coupling action of corrosive acid and freeze-thaw cycles. In this study, granite samples from the northern Tien Shan Mountains near Urumchi, Xinjiang Province, as well as two kinds of sandstone samples for comparison, were subjected to different soaking conditions, including nitric acid soaking at various pH values. One or both of the freeze-thaw cycle tests and uniaxial compression test were then executed. Speculations regarding the mechanism of the performance of granite rock masses under the action of corrosive acid and freeze-thaw cycles were developed based on the results of these tests. X-ray diffraction and scanning electron microscopy were implemented to demonstrate the feasibility of the speculated mechanism. In this paper, the identification of the white crumb-like substance as SiO_(2) gel were confirmed. | Suran Wang Youliang Chen Jing Ni Guanlin Liu Tomas Manuel Fernandez-Steeger Chao Xu | 2021 | Journal of Earth Science2021，32，5： | 3 |
| 2 | Artificial intelligence in cancer target identification and drug discovery显示文摘Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as cancer.Here,we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover drugs.First,we describe the scope of artificial intelligence biology analysis for novel anticancer target investigations.Second,we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence algorithms.Finally,we showcase the applications of artificial intelligence approaches in cancer target identification and drug discovery.Taken together,the artificial intelligence models have provided us with a quantitative framework to study the relationship between network characteristics and cancer,thereby leading to the identification of potential anticancer targets and the discovery of novel drug candidates. | Yujie You Xin Lai Yi Pan Huiru Zheng Julio Vera Suran Liu Senyi Deng Le Zhang | 2022 | Signal Transduction and Targeted Therapy2022，7，6： | 2 |
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