检索结果-南通市图书馆

Privacy Enhanced Mobile User Authentication Method Using Motion Sensors

Computer Modeling in Engineering & Sciences 2024年第3期138卷 3013-3032页

作者： Chunlin Xiong Zhengqiu Weng Jia Liu Liang Gu Fayez Alqahtani Amr Gafar Pradip kumar sharma Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen518052China Sangfor Technologies Inc. Shenzhen518055China School of Data Science and Artificial Intelligence Wenzhou University of TechnologyWenzhou325035China College of Computer Science&Technology Zhejiang University of TechnologyHangzhou310023China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Math&Computer Science Department Faculty of ScienceMenofia UniversityShebin El-KomEgypt Computing Science Department University of AberdeenAberdeenUK

With the development of hardware devices and the upgrading of smartphones,a large number of users save privacy-related information in mobile devices,mainly smartphones,which puts forward higher demands on the protection of mobile users’privacy *** present,mobile user authenticationmethods based on humancomputer interaction have been extensively studied due to their advantages of high precision and non-perception,but there are still shortcomings such as low data collection efficiency,untrustworthy participating nodes,and lack of *** this end,this paper proposes a privacy-enhanced mobile user authentication method with motion sensors,which mainly includes:(1)Construct a smart contract-based private chain and federated learning to improve the data collection efficiency of mobile user authentication,reduce the probability of the model being bypassed by attackers,and reduce the overhead of data centralized processing and the risk of privacy leakage;(2)Use certificateless encryption to realize the authentication of the device to ensure the credibility of the client nodes participating in the calculation;(3)Combine Variational Mode Decomposition(VMD)and Long Short-TermMemory(LSTM)to analyze and model the motion sensor data of mobile devices to improve the accuracy of model *** experimental results on the real environment dataset of 1513 people show that themethod proposed in this paper can effectively resist poisoning attacks while ensuring the accuracy and efficiency of mobile user authentication.

关键词： Mobile authentication blockchain federated learning smart contract certificateless encryption VMD LSTM

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Recent progress in carbonaceous materials based Z-scheme and Sscheme heterojunctions for photocatalytic clean energy generation

引用

新型炭材料(中英文) 2024年

作者： Sahil Rana Amit kumar Wang Tong-tong Gaurav sharma Pooja Dhiman Alberto García-Penas Interdisciplinary and Innovate Research Xi'an University of Architecture and Technology Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química (IAAB) Universidad Carlos III de Madrid International Research Centre of Nanotechnology for Himalayan Sustainability (IRCNHS) Shoolini University

Carbonaceous materials including carbon nanotubes/nanofibers, graphene, graphene oxide, reduced graphene oxide,graphyne, graphdiyne, carbon quantum dots and fullerenes have gained considerable attention in the recent years for their unique properties such as high conductivity, excellent stability and biocompatibility. The integration of these carbonaceous materials into Zscheme and S-scheme heterojunctions has emerged as a transformative strategy to enhance the photocatalytic efficiency for energy conversion applications. This review delves into the fundamental principles of clean energy generation such as photocatalytic H2generation and CO2reduction, elucidating their respective mechanisms and advantages. Furthermore, various types of carbonaceous materials, their synthesis and construction of Z-scheme and S-scheme heterojunctions are discussed emphasizing their role in promoting charge separation, reducing recombination losses and extending the spectral response range. With the focus on solar fuel production,the recent advancements in carbonaceous based Z-scheme and S-scheme heterojunctions are discussed and summarized for photocatalytic H2generation and CO2reduction. Lastly, the current bottlenecks and challenges in the field of carbonaceous based photocatalysts are discussed with the valuable insights for future development in this particular field.

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

BACE1 inhibitors:A promising therapeutic approach for the management of Alzheimer’s disease

引用

Asian Pacific Journal of Tropical Biomedicine 2024年第9期14卷 369-381页

作者： Richa Arya Smita Jain Sarvesh Paliwal Kirtika Madan Swapnil sharma Achal Mishra Prashant Tiwari Sunil kumar Kadiri Banasthali University Banasthali-304022(Raj.)India Department of Pharmacy Guru Ghasidas VishwavidyalayaBilaspurChhattisgarh-495009India Department of Pharmacology College of Pharmaceutical SciencesDayananda Sagar UniversityBengaluru-560111India

Alzheimer’s disease is a neurological disorder marked by the accumulation of amyloid beta(Aβ)aggregates,resulting from mutations in the amyloid precursor *** enzymeβ-secretase,also known asβ-site amyloid precursor protein cleaving enzyme 1(BACE1),plays a crucial role in generating Aβ*** no targeted therapy available for Alzheimer’s disease,inhibiting BACE1 aspartic protease has emerged as a primary treatment *** 1999,compounds demonstrating potential binding to the BACE1 receptor have advanced to human *** optimization of synthetically derived compounds,coupled with computational approaches,has offered valuable insights for developing highly selective leads with drug-like *** review highlights pivotal studies on the design and development of BACE1 inhibitors as anti-Alzheimer’s disease *** summarizes computational methods employed in facilitating drug discovery for potential BACE1 inhibitors and provides an update on their clinical status,indicating future directions for novel BACE1 *** promising clinical results of Elenbecestat(E-2609)catalyze the development of effective,selective BACE1 inhibitors in the future.

关键词： BACE1 inhibitors Amyloid precursor protein β-secretase Structure-based drug design 3D-QSAR β-amyloid precursor protein

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

石墨炔:一种用于合成水污染物有效吸附剂的新型炭材料

引用

新型炭材料（中英文） 2024年第2期39卷 173-200页

作者： Gaurav sharma Yaksha Verma Amit kumar Pooja Dhiman WANG Tong-tong Florian JStadler 深圳大学材料科学与工程学院深圳市高分子科学与技术重点实验室广东省功能材料界面工程研究中心南山区生物高分子与安全性评价重点实验室广东深圳518055 International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversityHimachal Pradesh 173229India 西安建筑科技大学跨学科与创新研究院陕西西安710055

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。... 详细信息

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。GDY的分子中有C≡C键,且具有均匀分布的三角形孔,可提供更多的反应位点和多种反应路径。因而,GDY具有吸附性,其作为吸附剂时在去除污染水中的油、有机污染物、染料和金属方面表现优异。在已发表的文献中,GDY被用作吸附剂的报道十分有限。本文综述了GDY的合成方法、GDY作为吸附剂的应用以及GDY基吸附剂的表征,并展望了GDY在污染物修复中的应用前景。

关键词：石墨炔合成吸附污染物合理机制

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Comprehensive Analysis of Gender Classification Accuracy across Varied Geographic Regions through the Application of Deep Learning Algorithms to Speech Signals

引用

Computer Systems Science & Engineering 2024年第3期48卷 609-625页

作者： Abhishek Singhal Devendra kumar sharma Department of Electronics and Communication Engineering Faculty of Engineering and TechnologySRM Institute of Science and TechnologyDelhi–NCR CampusGhaziabad201204India

This article presents an exhaustive comparative investigation into the accuracy of gender identification across diverse geographical regions,employing a deep learning classification algorithm for speech signal *** this study,speech samples are categorized for both training and testing purposes based on their geographical *** 1 comprises speech samples from speakers outside of India,whereas Category 2 comprises live-recorded speech samples from Indian *** speech samples are likewise classified into four distinct sets,taking into consideration both geographical origin and the language spoken by the ***,the results indicate a noticeable difference in gender identification accuracy among speakers from different geographical *** speakers,utilizing 52 Hindi and 26 English phonemes in their speech,demonstrate a notably higher gender identification accuracy of 85.75%compared to those speakers who predominantly use 26 English phonemes in their conversations when the system is trained using speech samples from Indian *** gender identification accuracy of the proposed model reaches 83.20%when the system is trained using speech samples from speakers outside of *** the analysis of speech signals,Mel Frequency Cepstral Coefficients(MFCCs)serve as relevant features for the speech *** deep learning classification algorithm utilized in this research is based on a Bidirectional Long Short-Term Memory(BiLSTM)architecture within a Recurrent Neural Network(RNN)model.

关键词： Deep learning recurrent neural network voice signal mel frequency cepstral coefficients geographical area gender

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

碳基材料的Z型和S型异质结光催化清洁能源综述

引用

新型炭材料（中英文） 2024年第3期39卷 458-482页

作者： Sahil Rana Amit kumar WANG Tong-tong Gaurav sharma Pooja Dhiman Alberto García-Penas International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversitySolan173229India 西安建筑科技大学交叉创新研究院西安710055 Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química(IAAB) Universidad Carlos Ⅲ de MadridLegan'es28911Spain

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催... 详细信息

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催化效率的一种有效策略。本文综述了光催化制氢和CO_(2)还原等清洁能源的基本原理,阐述了它们各自的机理和优势。此外,还讨论了不同类型的炭材料以及其中Z型和S型异质结的合成和构建,强调了它们在促进电荷分离、减少光生载流子复合损失和扩大光谱响应范围方面的作用。以太阳能燃料生产为重点,讨论和总结了碳基Z型和S型异质结在光催化制氢和还原CO_(2)方面的最新进展。最后,讨论了目前碳基光催化剂领域的瓶颈和挑战,并对该领域的未来发展提出了有价值的见解。

关键词：炭材料异质结 Z型 S型光催化氢能材料

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Targeting brain tumors with innovative nanocarriers:bridging the gap through the blood-brain barrier

引用

Oncology Research 2024年第5期32卷 877-897页

作者： KARAN WADHWA PAYAL CHAUHAN SHOBHIT kumar RAKESH PAHWA RAVINDER VERMA RAJAT GOYAL GOVIND SINGH ARCHANA sharma NEHA RAO DEEPAK KAUSHIK Department of Pharmaceutical Sciences Maharshi Dayanand UniversityRohtak124001India Department of Pharmaceutical Technology Meerut Institute of Engineering and Technology(MIET)NH-58Delhi-Roorkee HighwayMeerut250005India Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetra136119India Department of Pharmaceutical Sciences Chaudhary Bansi Lal UniversityBhiwani127021India MM College of Pharmacy Maharishi Markandeshwar(Deemed to be University)Mullana-AmbalaHaryana133207India Delhi Pharmaceutical Sciences and Research University(DIPSAR) Delhi Pharmaceutical Sciences and Research UniversityNew Delhi110017India

Background:Glioblastoma multiforme(GBM)is recognized as the most lethal and most highly invasive *** high likelihood of treatment failure arises fromthe presence of the blood-brain barrier(BBB)and stemcells around GBM,which avert the entry of chemotherapeutic drugs into the ***:Recently,several researchers have designed novel nanocarrier systems like liposomes,dendrimers,metallic nanoparticles,nanodiamonds,and nanorobot approaches,allowing drugs to infiltrate the BBB more efficiently,opening up innovative avenues to prevail over therapy problems and radiation ***:Relevant literature for this manuscript has been collected from a comprehensive and systematic search of databases,for example,PubMed,Science Direct,Google Scholar,and others,using specific keyword combinations,including“glioblastoma,”“brain tumor,”“nanocarriers,”and several ***:This review also provides deep insights into recent advancements in nanocarrier-based formulations and technologies for GBM *** of various scientific advances in conjunction with encouraging findings concerning the future perspectives and challenges of nanocarriers for effective brain tumor management has also been discussed.

关键词： Glioblastoma Brain tumor Blood-brain barrier Liposomes Metallic nanoparticles Nanocarriers

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Circular RNA: The evolving potential in the disease world

引用

World Journal of Medical Genetics 2024年第1期12卷 1-16页

作者： Aarti sharma Cherry Bansal Kiran Lata sharma Ashok kumar Department of Research Mayo Clinic ArizonaPhoenixAZ 85054United States Department of Pathology Dr.S Tantia Medical CollegeHospital and Research CenterSri Ganganagar 335002RajasthanIndia Department of Pathology Baylor College of MedicineHoustonTX 77030United States Department of Surgical Gastroenterology Sanjay Gandhi Post Graduate Institute of Medical SciencesLucknow 226014Uttar PradeshIndia

Circular RNAs(circRNAs),a new star of noncoding RNAs,are a group of endogenous RNAs that form a covalently closed circle and occur widely in the mammalian *** circRNAs are conserved throughout species and fre-quently show stage-specific expression during various stages of tissue *** were a mystery discovery,as they were initially believed to be a product of splicing errors;however,subsequent research has shown that ci-rcRNAs can perform various functions and help in the regulation of splicing and transcription,including playing a role as microRNA(miRNA)*** the application of high throughput next-generation technologies,circRNA hotspots were *** are emerging indications that explain the association of circRNAs with human diseases,like cancers,developmental disorders,and in-flammation,and circRNAs may be a new potential biomarker for the diagnosis and treatment outcome of various diseases,including *** the discoveries of miRNAs and long noncoding RNAs,circRNAs are now acting as a novel re-search entity of interest in the field of RNA disease *** this review,we aim to focus on major updates on the biogeny and metabolism of circRNAs,along with their possible/established roles in major human diseases.

关键词： Circular RNAs Cancer MicroRNA sponges Biomarkers Long noncoding RNA RNA biology

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Deep Learning-Based Speech Emotion Recognition: Leveraging Diverse Datasets and Augmentation Techniques for Robust Modeling

引用

Journal of Harbin Institute of Technology(New series) 2024年

作者： Ayush Porwal Praveen kumar Tyagi Ajay sharma Dheeraj kumar Agarwal Department of Electronics and Instrumentation Engineering， Shri G.S.Institute of Technology and Science Department of Electronics and Communication Engineering， Maulana Azad National Institute of Technology School of Computing Science and Engineering， VIT Bhopal University

In recent years， Speech Emotion Recognition (SER) has developed into an essential instrument for interpreting human emotions from auditory data. The proposed research focused on the development of a SER system employing deep learning and multiple datasets containing samples of emotive speech. The primary objective of this research endeavor is to investigate the utilization of Convolutional Neural Networks (CNNs) in the process of sound feature extraction. Stretching， pitch manipulation， and noise injection are a few of the techniques utilized in this study to improve the data quality. The investigation includes coverage of these methods. Feature extraction methods including Zero Crossing Rate， Chroma＿stft， MFCC， RMS， and MelSpectogram are used to train a model. By using these techniques， audio signals can be transformed into recognized features that can be utilized to train the model. Ultimately， the study will produce a thorough evaluation of the model’s performance. When this method was applied， the model achieved an impressive accuracy of 94.57% on the test dataset. Proposed work also validated on EMO-BD and IEMOCAP dataset. These consist of further data augmentation， feature engineering， and hyperparameter optimization. By following these development paths， SER systems will be able to be implemented in real-world scenarios with greater accuracy and resilience.

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer

引用

Current Urology 2024年第2期18卷 104-109页

作者： Jiten Jaipuria Ishleen Kaur Mohammad Najmud Doja Tanvir Ahmad Amitabh Singh Sudhir kumar Rawal Vineet Talwar Girish sharma Uro-oncology division Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia Amity Centre for Cancer Epidemiology and Cancer Research Amity Institute of BiotechnologyAmity UniversityNoidaIndia School of Engineering and Technology Vivekananda Institute of Professional Studies–Technical CampusNew DelhiIndia Department of Computer Engineering Jamia Millia IslamiaNew DelhiIndia Indian Institute of Information Technology SonepatIndia Department of MedicalOncology Rajiv Gandhi Cancer Institute and Research CentreNew DelhiIndia

Background:The incidence of prostate cancer is increasing worldwide.A significant proportion of patients developmetastatic disease and are initially prescribed androgen deprivation therapy(ADT).However,subsequent sequences of treatments in real-world settings that may improve overall survival remain an area of active *** and methods:Data were collected from 384 patients presenting with de novo metastatic prostate cancer from 2011 to 2015 at a tertiary cancer *** were categorized into surviving(n=232)and deceased(n=152)groups at the end of 3 *** sequence pattern mining techniques(Generalized Sequential Pattern Mining and Sequential Pattern Discovery using Equivalence Classes)were applied to determine the exact order of the most frequent sets of treatments in each ***:Degarelix,as the initial form of ADT,was uniquely in the surviving *** sequence of ADT followed by abiraterone and docetaxel was uniquely associated with a higher 3-year overall *** followed by fosfestrol was found to have a unique niche among surviving patients with a long duration of response to the initial *** who received chemotherapy followed by radiotherapy and those who received radiotherapy followed by chemotherapy were found more frequently in the deceased ***:We identified unique treatment sequences among surviving and deceased patients at the end of 3 *** should be the preferred formof *** who received ADT followed by abiraterone and chemotherapy showed better *** requiring palliative radiation and chemotherapy in any sequence were significantlymore frequent in the deceased group,identifying the need to offer such patients the most efficacious agents and to target them in clinical trial design.

关键词： Hormone therapy Metastatic prostate cancer Sequence mining Survival

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：