‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no time.With technological advancement and the popularity of smartphones,selfie-taking has grown...‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no time.With technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short time.In light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 years.The data were collected through semi-structured interviews and analysed using thematic analysis.Selfie-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.展开更多
The prediction of the interaction between a drug and a target is the most critical issue in the fields of drug development and repurposing.However,there are still two challenges in current deep learning research:(i)th...The prediction of the interaction between a drug and a target is the most critical issue in the fields of drug development and repurposing.However,there are still two challenges in current deep learning research:(i)the structural information of drug molecules is not fully explored in most drug target studies,and the previous drug SMILES does not correspond well to effective drug molecules and(ii)exploration of the potential relationship between drugs and targets is in need of improvement.In this work,we use a new and better representation of the effective molecular graph structure,SELFIES.We propose a hybrid mechanism framework based on convolutional neural network and graph attention network to capture multi-view feature information of drug and target molecular structures,and we aim to enhance the ability to capture interaction sites between a drug and a target.In this study,our experiments using two different datasets show that the GCARDTI model outperforms a variety of different model algorithms on different metrics.We also demonstrate the accuracy of our model through two case studies.展开更多
随着数字时代的到来,教师数字素养成为评价教师能力的重要因素。研究采用欧盟教师数字素养测评工具(SELFIE for TEACHERS)构建系统化问卷,对我国中部某高职院校289位教师数字素养现状进行调查。研究结果表明高职院校教师数字素养水平总...随着数字时代的到来,教师数字素养成为评价教师能力的重要因素。研究采用欧盟教师数字素养测评工具(SELFIE for TEACHERS)构建系统化问卷,对我国中部某高职院校289位教师数字素养现状进行调查。研究结果表明高职院校教师数字素养水平总体处于中级整合者(B1)阶段,其中教与学维度最高,赋能学习者维度最低,两者具有显著差异。数字素养水平受多种因素影响,例如数字素养自我感知和数字环境显著正向影响数字素养水平,不同数字技术使用年限和职级的教师数字素养水平也具有显著差异。根据实证分析结论,研究提出可以通过优化顶层设计、完善数字技术应用环境、开展教师提升训练、提高学生学习胜任力等多方位培育路径,全面提升教师数字素养。展开更多
文摘‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no time.With technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short time.In light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 years.The data were collected through semi-structured interviews and analysed using thematic analysis.Selfie-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.
基金Natural Science Foundation of Shandong Province,Grant/Award Number:ZR2023MF053National Natural Science Foundation of China,Grant/Award Numbers:61902430,61873281。
文摘The prediction of the interaction between a drug and a target is the most critical issue in the fields of drug development and repurposing.However,there are still two challenges in current deep learning research:(i)the structural information of drug molecules is not fully explored in most drug target studies,and the previous drug SMILES does not correspond well to effective drug molecules and(ii)exploration of the potential relationship between drugs and targets is in need of improvement.In this work,we use a new and better representation of the effective molecular graph structure,SELFIES.We propose a hybrid mechanism framework based on convolutional neural network and graph attention network to capture multi-view feature information of drug and target molecular structures,and we aim to enhance the ability to capture interaction sites between a drug and a target.In this study,our experiments using two different datasets show that the GCARDTI model outperforms a variety of different model algorithms on different metrics.We also demonstrate the accuracy of our model through two case studies.
文摘随着数字时代的到来,教师数字素养成为评价教师能力的重要因素。研究采用欧盟教师数字素养测评工具(SELFIE for TEACHERS)构建系统化问卷,对我国中部某高职院校289位教师数字素养现状进行调查。研究结果表明高职院校教师数字素养水平总体处于中级整合者(B1)阶段,其中教与学维度最高,赋能学习者维度最低,两者具有显著差异。数字素养水平受多种因素影响,例如数字素养自我感知和数字环境显著正向影响数字素养水平,不同数字技术使用年限和职级的教师数字素养水平也具有显著差异。根据实证分析结论,研究提出可以通过优化顶层设计、完善数字技术应用环境、开展教师提升训练、提高学生学习胜任力等多方位培育路径,全面提升教师数字素养。
