This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of co...This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of computer science in different fields of study. The technique used in this paper is handling the inadequate Information for citation;it removes the problem of cold start, which is encountered by very many other recommender systems. In this paper, abstracts, the titles, and the Microsoft academic graphs have been used in coming up with the recommendation list for every document, which is used to combine the content-based approaches and the co-citations. Prioritization and the blending of every technique have been allowed by the tuning system parameters, allowing for the authority in results of recommendation versus the paper novelty. In the end, we do observe that there is a direct correlation between the similarity rankings that have been produced by the system and the scores of the participant. The results coming from the associated scrips of analysis and the user survey have been made available through the recommendation system. Managers must gain the required expertise to fully utilize the benefits that come with business intelligence systems [1]. Data mining has become an important tool for managers that provides insights about their daily operations and leverage the information provided by decision support systems to improve customer relationships [2]. Additionally, managers require business intelligence systems that can rank the output in the order of priority. Ranking algorithm can replace the traditional data mining algorithms that will be discussed in-depth in the literature review [3].展开更多
Charge density distribution in ampicillin trihydrate was investigated experimentally. Results were compared with the quantum calculations using density functional theory. The charge derived properties including Mullik...Charge density distribution in ampicillin trihydrate was investigated experimentally. Results were compared with the quantum calculations using density functional theory. The charge derived properties including Mulliken atomic charges, dipole moment, and molecular electrostatic potential were calculated. The multipole analysis was done for the refinement of experimental population parameters. The structure factors obtained from multipole treat- ment were used for the construction of Fourier maps. Topological properties of the charge distribution were discussed and the characteristics of （3, -1） critical points were analyzed.展开更多
目的探讨抑郁症患者抑郁症状与认知功能关系的性别差异。方法于2021年1月至2024年6月期间,在安徽医科大学附属心理医院通过便利抽样法选取375例符合《精神障碍诊断与统计手册第5版》(Diagnostic and Statistical Manual of Mental Disor...目的探讨抑郁症患者抑郁症状与认知功能关系的性别差异。方法于2021年1月至2024年6月期间,在安徽医科大学附属心理医院通过便利抽样法选取375例符合《精神障碍诊断与统计手册第5版》(Diagnostic and Statistical Manual of Mental Disorders,5th Edition,DSM-5)标准的抑郁症患者作为研究对象,分为男性组(148例)和女性组(227例)。采用24项汉密尔顿抑郁量表(Hamilton depression scale,HAMD-24)评估抑郁症患者抑郁症状,采用包括连线测验、逻辑记忆、图片记忆、数字符号测验、倒序数字广度测验、威斯康星卡片分类测验等6项神经心理学评估量表评估抑郁症患者的认知功能。使用R软件对不同性别患者的症状和认知功能进行网络分析。结果男性抑郁症患者的核心症状因子和核心认知领域分别为睡眠障碍(strength=1.253)和信息加工速度(strength=1.605);女性患者为情感阻滞(strength=1.322)和工作记忆(strength=1.289)。睡眠障碍和情感阻滞分别是男性(bridge strength=1.253)和女性(bridge strength=1.322)患者的桥梁节点。男、女患者组节点强度中心性的相关稳定性系数(correlation stability,CS)值分别为0.514和0.515,表明网络稳定性良好。性别间在网络全局强度(男性vs.女性:2.22 vs.4.87;P=0.356)和边权重分布(P=0.293)上无统计学差异。结论抑郁症患者症状与认知功能的网络关系在性别上存在显著差异,男性主要受睡眠障碍与信息加工速度的影响,而女性则以情绪阻滞与工作记忆损伤为核心。本研究为制定基于性别差异的干预措施提供了理论依据。展开更多
文摘This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of computer science in different fields of study. The technique used in this paper is handling the inadequate Information for citation;it removes the problem of cold start, which is encountered by very many other recommender systems. In this paper, abstracts, the titles, and the Microsoft academic graphs have been used in coming up with the recommendation list for every document, which is used to combine the content-based approaches and the co-citations. Prioritization and the blending of every technique have been allowed by the tuning system parameters, allowing for the authority in results of recommendation versus the paper novelty. In the end, we do observe that there is a direct correlation between the similarity rankings that have been produced by the system and the scores of the participant. The results coming from the associated scrips of analysis and the user survey have been made available through the recommendation system. Managers must gain the required expertise to fully utilize the benefits that come with business intelligence systems [1]. Data mining has become an important tool for managers that provides insights about their daily operations and leverage the information provided by decision support systems to improve customer relationships [2]. Additionally, managers require business intelligence systems that can rank the output in the order of priority. Ranking algorithm can replace the traditional data mining algorithms that will be discussed in-depth in the literature review [3].
文摘Charge density distribution in ampicillin trihydrate was investigated experimentally. Results were compared with the quantum calculations using density functional theory. The charge derived properties including Mulliken atomic charges, dipole moment, and molecular electrostatic potential were calculated. The multipole analysis was done for the refinement of experimental population parameters. The structure factors obtained from multipole treat- ment were used for the construction of Fourier maps. Topological properties of the charge distribution were discussed and the characteristics of （3, -1） critical points were analyzed.
