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掺杂量子自旋霍尔态后所形成超导的平均场计算

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北京师范大学学报（自然科学版） 2024年第1期60卷 1-8页

作者：侯迪莎郭文安北京师范大学物理学系北京

给出了对易面t-λ模型详细平均场理论和计算的结果,特别是给出了平均场相图.研究表明,掺杂纯的量子自旋霍尔(QSH)态后可获得2种结论:1)相互作用强度较弱时,QSH态和超导态之间可发生一级相变;2)相互作用强度较强时,系统经过一个连续相变... 详细信息

给出了对易面t-λ模型详细平均场理论和计算的结果,特别是给出了平均场相图.研究表明,掺杂纯的量子自旋霍尔(QSH)态后可获得2种结论:1)相互作用强度较弱时,QSH态和超导态之间可发生一级相变;2)相互作用强度较强时,系统经过一个连续相变进入2相共存区,并发生QSH态消失的一级相变.计算结果表明,平均场理论虽然体现了对称破缺相的特征,但是其忽略了涨落,致使其得到QSH态与超导态共存的错误结论,从而使得平均场理论无法准确描述因拓扑激发所引起的相变.

关键词：量子强关联量子自旋霍尔态超导掺杂平均场计算

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青春爱情类电影创作的类型意识、改编策略与叙事原则——青春爱情类电影导演韩天、章笛沙圆桌访谈

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电影评介 2024年第13期 22-29页

作者：满胜宠崔婧韩天章笛沙浙江传媒学院动画与数字学院山东师范大学新闻与传媒学院不详

国产青春/爱情电影作为一种电影类型,为受众所熟知和喜爱,在发展中不断进化出属于中国青春爱情电影的类型语汇。叙事层面,此类电影聚焦主人公充满梦想和希望的青春成长阶段,描摹青年人内心深处的情感,能唤起受众对青春岁月的心灵共鸣与... 详细信息

国产青春/爱情电影作为一种电影类型,为受众所熟知和喜爱,在发展中不断进化出属于中国青春爱情电影的类型语汇。叙事层面,此类电影聚焦主人公充满梦想和希望的青春成长阶段,描摹青年人内心深处的情感,能唤起受众对青春岁月的心灵共鸣与美好回忆。此类影片中,主人公的成长轨迹、爱情得失、命运羁绊不断牵动受众心弦;在创作层面,剧本写作的叙事策略、影像表达的导演思维、主题呈现的“现实-想象”基调等实践技巧与“工业美学”式类型生产成为行业与学界热点话题。韩天、章笛沙导演均有编剧经历与成熟的青春/爱情电影作品,满胜宠编剧则专注青春爱情影视作品的剧本创作与研究。以下专访围绕创作实践环节,深入探讨青春电影叙事策略、空间景观与情感表达的互文关系、“情感-现实”叙事模型的搭建以及青春/爱情电影在未来的“潜力”与“生命力”等话题,以期对当代中国青春/爱情电影的类型演进与创作实践提供一些借鉴。

关键词：成长轨迹心灵共鸣叙事原则工业美学空间景观影像表达青春电影叙事层面

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Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique

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Cybersecurity 2022年第2期5卷 119-140页

作者： Raisa Abedin disha Sajjad Waheed Department of Information and Communication Technology Bangladesh University of ProfessionalsMirpur CantonmentDhaka1216Bangladesh Department of Information and Communication Technology Mawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh

To protect the network, resources, and sensitive data, the intrusion detection system (IDS) has become a fundamental component of organizations that prevents cybercriminal activities. Several approaches have been introduced and implemented to thwart malicious activities so far. Due to the effectiveness of machine learning (ML) methods, the proposed approach applied several ML models for the intrusion detection system. In order to evaluate the performance of models, UNSW-NB 15 and Network TON_IoT datasets were used for offline analysis. Both datasets are comparatively newer than the NSL-KDD dataset to represent modern-day attacks. However, the performance analysis was carried out by training and testing the Decision Tree (DT), Gradient Boosting Tree (GBT), Multilayer Perceptron (MLP), AdaBoost, Long-Short Term Memory (LSTM), and Gated Recurrent Unit (GRU) for the binary classification task. As the performance of IDS deteriorates with a high dimensional feature vector, an optimum set of features was selected through a Gini Impurity-based Weighted Random Forest (GIWRF) model as the embedded feature selection technique. This technique employed Gini impurity as the splitting criterion of trees and adjusted the weights for two different classes of the imbalanced data to make the learning algorithm understand the class distribution. Based upon the importance score, 20 features were selected from UNSW-NB 15 and 10 features from the Network TON_IoT dataset. The experimental result revealed that DT performed well with the feature selection technique than other trained models of this experiment. Moreover, the proposed GIWRF-DT outperformed other existing methods surveyed in the literature in terms of the F1 score.

关键词： Cyber security Feature selection Intrusion Detection System Machine learning Network security

Smart agriculture: a literature review

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Journal of Management Analytics 2023年第2期10卷 359-415页

作者： disha Garg Mansaf Alam Department of Computer Science Jamia Millia IslamiaNew DelhiIndia

Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging technologies such as the Internet of things(IoT),big data analytics(BDA),cloud computing(CC),and artificial intelligence(AI).These Emerging technologies are the potential enablers of data-driven smart *** the importance of data-driven agriculture,we provide a complete picture of current literature in smart agriculture by using a review classification framework divided into four categories:(i)Smart Farming Activities,(ii)BDA Levels,(iii)BDA Models,and(iv)BDA *** work uses the preferred reporting items for systematic reviews(PRISMA)methodology to review the current literature on intelligent farming.A total of 90 papers have been identified,and content analysis was conducted to mine knowledge in the domain for 2011–*** primary intention of this review is to clarify the most prominent farming activity,level of analytics,BDA models,and techniques in smart ***,the findings of our review analysis are discussed,and work suggestions are addressed for further research.

关键词： IoT BDA farming activities predictive analytics prescriptive analytics Industry 4.0 classiﬁcation framework

A Research about Human Security for Sustainable Development of Garments Industries in Bangladesh

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A Research about Human Security for Sustainable Development ...

作者： disha Moni 四川大学

学位级别：硕士

The purpose of this research is to identify the human security concerns in Bangladesh's garment *** project incorporated both quantitative as well as qualitative data were *** samples used in the study come from people who work in the garments *** simple random sampling method of 300 samples was divided into 3 groups by 3 districts Dhaka,Narayonganj,and *** tool used in the study is questionnaires for collecting data from those people who voluntarily responded to the questionnaire,reliability was tested via the Cronbach alpha method and the validity has checked the accuracy of content from qualified *** statistics,percentages,means,standard deviations,and inferential statistics are all utilized in data *** are independent variables,namely health security,economic security,and environmental security and sustainable development as dependent *** research can be classified into three *** first set of elements in this research that health security includes two observed variable namely HI&CI that influence sustainable development,and the second group of factors is economic security includes observed variable namely JS&SS,and the third group of factors about environmental security includes WP&MP,that can affect sustainable development of garments ***,WP,MP,CI,HI independent variables are statistically significant relationship with healthcare issues（HI）(t=6.964,p<0.000,Beta=0.392),workplace safety（CI）(t=3.545,p<0.000,Beta=0.180),ability to solve the environmental problem（WP）(t=3.236,p<0.001,Beta=0.152),prevention of accidents and related impact（MP）(t=2.048,p<0.041,Beta=0.100),protection against unemployment（JS）(t=2.256,p<0.025,Beta=0.089)for sustainable development（DM）.In combination,HI,CI,MP,WP,JS,and SS accounted for 58.9%of the variability in sustainable development（DM）,R2=0.589,adjusted R2=0.580,F（6,293）=69.889,p<.0001).The KMO index was *** Alpha coefficient test results

关键词： Health Security Economic Security Environmental Security Sustainable Development Garments Industry

淋巴/单核细胞比值与老年血液透析患者皮肤瘙痒的相关性分析

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华夏医学 2024年第3期37卷 69-74页

作者：覃新芳邹迪莎李康慧王颖李召荣桂林医学院附属医院肾内科桂林541001

目的探讨淋巴/单核细胞比值(LMR)与老年维持性血液透析(MHD)患者皮肤瘙痒的相关性。方法收集74例老年MHD患者的临床资料,并计算LMR,根据中文版14-Item UP-Dial Scale量表问卷分无、轻度、中度、重度瘙痒,比较不同瘙痒组的临床资料,使用L... 详细信息

目的探讨淋巴/单核细胞比值(LMR)与老年维持性血液透析(MHD)患者皮肤瘙痒的相关性。方法收集74例老年MHD患者的临床资料,并计算LMR,根据中文版14-Item UP-Dial Scale量表问卷分无、轻度、中度、重度瘙痒,比较不同瘙痒组的临床资料,使用Logistic回归模型分析皮肤瘙痒患者的影响因素。结果糖尿病肾病老年患者的瘙痒评分高于其他原发病组,LMR水平在各组原发病的老年患者中差异无统计学意义(P>0.05)。无瘙痒组与瘙痒各组的老年患者的空腹血糖、糖化血红蛋白、URR、直接胆红素、LMR比较,差异具有统计学意义(P<0.05)。多因素Logistic回归分析显示,LMR为瘙痒的独立保护因素(P<0.05)。结论LMR与老年MHD患者的皮肤瘙痒有相关性。

关键词：淋巴/单核细胞维持性血液透析皮肤瘙痒

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HARTIV:Human Activity Recognition Using Temporal Information in Videos

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Computers, Materials & Continua 2022年第2期70卷 3919-3938页

作者： disha Deotale Madhushi Verma P.Suresh Sunil Kumar Jangir Manjit Kaur Sahar Ahmed Idris Hammam Alshazly CSE Department G.H.Raisoni Institute of Engineering and TechnologySPPU UniversityPuneIndia CSE Department Bennett UniversityGreater NoidaIndia TML Business Services Limited PuneIndia CSE Department Anand International College of EngineeringJaipurRajasthanIndia College of Industrial Engineering King Khalid UniversityAbhaSaudi Arabia Faculty of Computers and Information South Valley UniversityQena83523Egypt

Nowadays,the most challenging and important problem of computer vision is to detect human activities and recognize the same with temporal information from video *** video datasets are generated using cameras available in various devices that can be in a static or dynamic position and are referred to as untrimmed *** monitoring is a historical necessity in which commonly occurring,regular,and out-of-the-ordinary activities can be automatically identified using intelligence systems and computer vision *** a long video,human activity may be present anywhere in the *** can be a single ormultiple human activities present in such *** paper presents a deep learning-based methodology to identify the locally present human activities in the video sequences captured by a single wide-view camera in a sports *** recognition process is split into four parts:firstly,the video is divided into different set of frames,then the human body part in a sequence of frames is identified,next process is to identify the human activity using a convolutional neural network and finally the time information of the observed postures for each activity is determined with the help of a deep learning *** proposed approach has been tested on two different sports datasets including ActivityNet and *** sports activities like swimming,cricket bowling and high jump have been considered in this paper and classified with the temporal information i.e.,the start and end time for every activity present in the *** convolutional neural network and long short-term memory are used for feature extraction of temporal action recognition from video data of sports *** outcomes show that the proposed method for activity recognition in the sports domain outperforms the existing methods.

关键词： Action recognition human activity recognition untrimmed video deep learning convolutional neural networks

Comparative assessment for removal of anionic dye from water by different waste-derived biochar vis a vis reusability of generated sludge

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Biochar 2022年第1期4卷 986-1002页

作者： Mayank Singh MohdAhsan Versha Pandey Anupama Singh disha Mishra Neerja Tiwari Pooja Singh Tanmoy Karak Puja Khare Crop Production and Protection DivisionCSIR-Central Institute of Medicinal and Aromatic PlantsLucknow 226015India Phytochemistry Division CSIR-Central Institute of Medicinal and Aromatic PlantsLucknow 226015India Upper Assam Advisory Centre Tea Research AssociationDikomDibrugarh 786101AssamIndia Academy of Scientific and Innovative Research(AcSIR) GaziabadIndia Biotechnology Division Central Institute of Medicinal and Aromatic PlantsLucknow 226015India

In this study,four biochars prepared from different crop residue waste *** bagasse(SBB),coconut shell(CNB),paddy straw(PDB),and distilled waste of lemongrass(LGB)were evaluated for removal of Remazol Brilliant Blue R from the aqueous *** RBBR adsorption capacities of biochar were 97-79%for SBB,99.9-99.47%for CNB,66.1-48%for PDB,and 78-68%for LGB,dominantly controlled by their aromaticity and mineral *** Langmuir and Freundlich isotherms and pseudo-second-order kinetic models have described the chemisorption of RBBR on biochar *** thermodynamic data suggested that adsorption was spontaneous and *** biochars demonstrated excellent reusability(till four cycles with 50-61%regeneration).The purified water and biochar dye sludge demonstrated no *** findings obtained in this study may provide supports for the potential of biochars for anionic dye removal from water and utilization of generated sludge for zero waste-producing technologies in the future.

关键词： Biochar Remazol Brilliant Blue R Dye Adsorption Biochar dye sludge

Turn-on fluorescence probe for selective detection of Hg(Ⅱ)by calixpyrrole hydrazide reduced silver nanoparticle: Application to real water sample

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Chinese Chemical Letters 2016年第5期27卷 731-737页

作者： Keyur D. Bhatt disha J. Vyas Bharat A. Makwana Savan M. Darjee Vinod K. Jain Hemangini Shah Department of Chemistry C.U. Shah University Wadhwan 363030 India Department of Chemistry School of Sciences Gujarat University Ahmedabad 380009 India

A simple and quick method for the synthesis of water dispersible stable silver nanoparticles has been developed. Calix[4]pyrrole octahydrazide （CPOH）, has been successfully used as a reducing as well as stabilizing agent for the synthesis of silver nanoparticles. CPOH-AgNps have been duly characterized by SPR, PSA, TEM and EDX-ray. The ability of CPOH-AgNps as selective and sensitive sensor for various ions （Pb（Ⅱ）, Cd（II）, Mn（Ⅱ）, Fe（Ⅲ）, Ni（Ⅱ）, Zn（Ⅱ）, Hg（Ⅱ）, Co（Ⅱ）, Cu（Ⅱ）） by colorimetry and spectrofluorimetry has been explored. CPOH-AgNps were found to be selective only for Hg（Ⅱ） ions. Nanomolar concentration of Hg（Ⅱ） ions can also be determined by spectrofluorimetry by increase in fluorescence intensity. Linear range of detection of Hg（Ⅱ） ions in water was found to be from 1nmol/L to mol/L. The method has been successfully applied for determination of Hg（Ⅱ） ions in ground water and industrial effluent waste water samples.

关键词： Calixpyrrole Silver nanoparticles Fluorescence study Colorimetric sensor Water samplesHg(Ⅱ) ions

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