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Covalent organic framework shows high isobutene adsorption selectivity from C_(4) hydrocarbons:Mechanism of interpenetration isomerism and pedal motion

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Green Energy & Environment 2022年第2期7卷 296-306页

作者： Wei Chen Mian Li Wen-Li Peng Ling Huang Chao Zhao dinesh acharya Wentao Liu Anmin Zheng State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics National Center for Magnetic Resonance in WuhanKey Laboratory of Magnetic Resonance in Biological SystemsWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan430071China Department of Chemistry and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province Shantou UniversityGuangdong515063China Chemistry and Chemical Engineering Guangdong Laboratory Shantou515031China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan430074China School of Materials Science and Engineering Zhengzhou UniversityZhengzhouHenan450001China University of Chinese Academy of Sciences Beijing100049China

Adsorption and separation of C_(4) hydrocarbons are crucial steps in petrochemical *** of porous materials for enhancing the separation efficiency have paid much ***-organic frameworks of diamond-topology,dia-COFs,often exhibit unique structural properties such as interpenetration isomerism and pedal ***,in order to get a deep insight into the structure-performance correlation of such dia-COFs,a series of dia-COF materials have been proposed and theoretically investigated on the C_(4) *** is found that these dia-COFs display an excellent adsorption and separation property towards isobutene with respect to other C_(4) hydrocarbons(i.e.,1,3-butadiene,1-butene,2-cis-butene,2-trans-butene,isobutane and n-butane).What’s more,the correlation between the topology parameters and experimental synthesis feasibility has been established for COF-300(dia-cN),and the unreported COF-300(dia-c3) is predicted to be experimentally feasible *** findings not only provide a deep insight into the mechanism of topology characteristics of dia-COFs on C_(4) adsorption and separation properties but also guide the design and synthesis of novel highly-effective porous materials.

关键词： adsorption hydrocarbons separation

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Impact of Climate Change on Diseases of Crops and Their Management-A Review

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Journal of Agricultural Science and Technology(B) 2022年第1期12卷 1-15页

作者： Manish Kumar Maurya Vikash Kumar Yadav Sumant Pratap Singh Rajender Jatoth Hemant Kumar Singh dinesh Singh Department of Plant Pathology Acharya Narendra Deva University of Agriculture and TechnologyKumarganjAyodhya 224229(U.P.)India Department of Plant Molecular Biology and Genetic Engineering Acharya Narendra Deva University of Agriculture and TechnologyKumarganjAyodhya 224229(U.P.)India Division of Plant Pathology ICAR-Indian Agricultural Research InstituteNew Delhi110012 India

Change in global climate is primarily due to rising concentrations of greenhouse gases in the atmosphere that is mostly caused by human *** important factors affecting the occurrence and spread of the plant diseases are temperature,moisture,light,and CO_(2) *** factors cause physiological changes in plants that result in increase in intensity of crop *** change causes a significant impact on germination,reproduction,sporulation and spore dispersal of *** change affects all life stages of the pathogen as well as its host to cause impact on host-pathogen interaction which facilitates the emergence of new races of the pathogen ultimately breakdowns the host *** also affects the microbial community in the soil which is beneficial to the plants in various *** minor diseases become major ones due to alteration in climatic parameters thus posing a threat to the food security.

关键词： Climate change greenhouse gases temperature elevated CO_(2) pathogens sporulation

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Spray Prediction Model for Aonla Rust Disease Using Machine Learning

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Journal of Agricultural Science and Technology(B) 2023年第1期13卷 1-12页

作者： Hemant Kumar Singh Bhanu Pratap S.K.Maheshwari Ayushi Gupta Anuradha Chug Amit Prakash Singh dinesh Singh acharya Narendra Deva University of Agriculture and Technology Ayodhya 224229U.P.India ICAR-Central Institute for Arid Horticulture Bikaner 334006RajasthanIndia University School of Information Communication&TechnologyGGSIPUNew Delhi 110012India ICAR-Indian Agricultural Research Institute New Delhi 110012India

Disease prediction in plants has acquired much attention in recent *** factors such as:temperature,relative humidity,rainfall,sunshine play an important role in a plan’s growth only if they are present in adequate amounts as required by the *** the other hand,if the factors are inadequate,they may also support the growth of a disease in the *** current study focuses on the Rust disease in Aonla fruits and leaves by utilizing a real time dataset of weather *** different models are tested for spray prediction on conducive *** resampling techniques,random over sampling(ROS)and synthetic minority oversampling technique(SMOTE)have been used to balance the dataset and five different classifiers:support vector machine(SVM),logistic regression(LR),k-nearest neighbor(kNN),decision tree(DT)and random forest(RF)have been used to classify a particular day based on weather conditions as conducive or *** classifiers are then evaluated based on four performance metrics:accuracy,precision,recall and *** results indicate that for imbalanced dataset,kNN is appropriate with high precision and recall *** both balanced and imbalanced dataset models,the proposed model SMOTE-RF performs best among all models with 94.6%accuracy and can be used in a real time application for spray ***,timely fungicide spray prediction without over spraying will help in better productivity and will prevent the yield loss due to rust disease in Aonla crop.

关键词： Aonla Internet of Things machine learning plant disease rust spray prediction.

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