In particular, we: show the security shortcomings o Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the quality of vehicular services and enhance the capabilities of vehicles. Commenting on the appointment, Carolyn said: When it comes to creating value for our clients, we recognise the importance of a shared commitment to success, clarity of goals, and providing teams with expertise and experience, and agility to adjust to evolving needs and priorities. The exponential device growth in industrial Internet of things (IIoT) has a noticeable impact on the volume of data generated. 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Ovid Discovery As well as research articles, the journal also publishes "Adis Drug Evaluations and AdisInsight Reports" - evidence-based, single-agent reviews. Papers should describe work that adds to the understanding of analytical theory, detail research on new or existing analytical methodologies, or report on the application of analytical techniques for the discovery, interpretation, and communication of meaningful patterns of data across multidisciplinary areas. Our Masters programmes draw on recognised excellence in research to offer a wide range of programmes for careers in lab-based science, public health and clinical healthcare. LWW Health Library Do you have an idea for a thematic series? Tutorials & Demos. The Industrial Internet of Things (IIoTs) is an emerging area that forms the collaborative environment for devices to share resources. We are also interested in manuscripts that address the added value of e-health interventions with regard to usual care. 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Diabetes Therapy is an international, open access, peer-reviewed (single-blind), and rapid publication journal.The scope of the journal is broad, dedicated to the publication of high-quality clinical, observational, real-world, and health outcomes research around the discovery, development, and use of therapeutics and interventions, including devices, across all areas of This paper aims to research the Industry 4.0 has been provided for the last 10 years to benefit the industry and the shortcomings; finally, the time for industry 5.0 has arrived. By using this website, you agree to our Costs are soaring worldwide and there is an increasing pressure on healthcare professionals to deliver care with tighter budgets. Dr Sebastian Braun is Senior Director and Head of Real World Evidence Europe at Xcenda, a scientific, contract research and consulting agency for healthcare-related studies. Furthermore, he has a track record of over 60 scientific publications and is a regular reviewer for different scientific journals. This journal is a place where professionals from different disciplines can communicate with each other. Springer Healthcare is delighted to be an officially designated licensing representative for the American College of Cardiology (ACC) in most international markets, offering authentic ACC materials at the earliest availability, and access to official ACC meeting content. However, due to the As is well known that the global optimization ability of the Fruit fly Optimization Algorithm (FOA)is weak because it is easy to fall into local optimum. '', Editor-in-Chief, Prof.Nitesh V. Chawla,about Discover Data, It is an exciting and timely opportunity to envision a journal that is at the intersection of data and society. Citation Impact2.118 -2-year Impact Factor(2021)2.538 - 5-year Impact Factor(2021)1.395 -Source Normalized Impactper Paper (SNIP)0.778 - SCImago Journal Rank (SJR), Speed24 days to first decision for all manuscripts (Median)101days to first decision for reviewed manuscripts only (Median), Usage315,002 Downloads (2021)287 Altmetric mentions (2021). Ovid, the worlds most trusted medical research platform, has been a vital part of healthcare for over 20 years. Dr Jan Zeidler is Managing and Research Director at the Center for Health Economics Research Hannover (CHERH). The journal welcomes work that addresses systems-level research and discussions relating to health systems, services and informatics. Let Springer Healthcare make it as painless as possible! It particularly welcomes research that contributes to achieving the global aims of the United Nations Sustainable Development Goals, such as Goal 9: to Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation. This study investigates the possibility of supporting tourists in a foreign land intelligently by using the Tourism Cloud Management System (TCMS) to enhance and better their tourism experience. Please visit the Springer Healthcare Training website to learn more. Incorporation services for entrepreneurs. Get immediate, full-text access to over 600 books and 20 journals for individuals or institutions on our online platform, Springer Publishing Connect. A journal for bariatric/metabolic surgeons, Obesity Surgery provides an international, interdisciplinary forum for communicating the latest research, surgical and We offer premier medical, nursing, and allied health content, clinical decision support tools, drug information and patient surveillance, structured documentation and coding, healthcare terminology, data management and systems interoperability solutions, precision medical research tools, and continuing medical education solutions. As the worlds most trusted medical research platform, Ovid helps librarians in their efforts to improve the quality of healthcare, education and research. Discover Data is a fully open access interdisciplinary journal, publishing theory and applications of data science and data analytics across all fields of research. Springer Publishing is an award-winning publisher of healthcare and behavioral sciences resources, featuring books, apps, journals, and digital products. Librarian Toolkit Wolters Kluwer is a global provider of professional information, software solutions, and services for clinicians, nurses, accountants, lawyers, and tax, finance, audit, risk, compliance, and regulatory sectors. Allied health, nursing and medical students can get a jump on their learning with Ovid resources such as: AudioDigest Platinum Ovid MEDLINE Ovids flagship platform is the leading choice globally among clinicians, researchers, educators and students in the medical, scientific and academic fields. Do health economic evaluations using observational data provide reliable assessment of treatment effects? Cookies policy. Ovid, the worlds most trusted medical research platform, has been a vital part of healthcare for over 20 years. With easy simultaneous searching across all Ovid resources using a single query, instructors can uncover the latest research as well as materials for instructional use. Part of Journal of Physician Assistant Education Advances in lifestyle sensing, geo-tagged big data and related technologies are helping us better understand the highly complex, multifactorial nature of overweight, obesity (OO) and type 2 diabetes (T2D), in our quest to design more effective public health interventions for the control and prevention of these conditions. With a rigorous and streamlined review process, the journal seeks to provide a forum for the rapid evaluation of methodologies and solutions to this critical challenge facing the scientific and professional communities today, Editors-in-Chief, Dr. Vanni Agnoletti and Dr Rodolfo Catena, about Discover Health Systems, Covid-19 has shown us the limits of health systems globally. He is Senior Member of IEEE, Fellow of the Royal Geographical Society, and was co-Chair of WG IV/4 within ISPRS Commission IV, 2008-2012. Dermatology and Therapy is an international, open access, peer-reviewed (single-blind), and rapid publication journal.The journal is dedicated to the publication of high-quality clinical (all phases), observational, real-world, and health outcomes research around the discovery, development, and use of dermatological therapies. Springer Nature. Whether youre a first-time Ovid customer or an experienced user, Ovids training and help options can make using Ovid products smooth and efficient. In our everyday lives, we communicate with each other using several means and channels of communication, as communication is crucial in the lives of humans. Dr. Zeidler has extensive expertise in health economic and health services related research on chronic and orphan diseases. S Shitharth, Fahad S. Alotaibi, Hariprasath Manoharan, Adil O. Khadidos, Khaled H. Alyoubi and Abdulrhman M. Alshareef, Farhan Ullah, Gautam Srivastava and Shamsher Ullah, Faisal Shahzad, Abdul Mannan, Abdul Rehman Javed, Ahmad S. Almadhor, Thar Baker and Dhiya Al-Jumeily OBE, Tingting Fu, Yanjun Peng, Peng Liu, Haksrun Lao and Shaohua Wan, Tariq Qayyum, Zouheir Trabelsi, Asad WaqarMalik and Kadhim Hayawi, Mohit Mittal, Martyna Kobielnik, Swadha Gupta, Xiaochun Cheng and Marcin Wozniak, Eduard Marin, Diego Perino and Roberto Di Pietro, Guozhi Liu, Fei Dai, Bi Huang, Zhenping Qiang, Shuai Wang and Lecheng Li, Vinodhini Mani, M. Prakash and Wen Cheng Lai, Jun Zeng, Juan Yao, Min Gao and Junhao Wen, Khaled A. Alaghbari, Mohamad Hanif Md Saad, Aini Hussain and Muhammad Raisul Alam, R. Priyadarshini, Abdul Quadir Md, N. Rajendran, V. Neelanarayanan and H. 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Jawawi, Dan Wang, Ebuka Ibeke and Cresantus Biamba, Jinjiang Wang, Hangyu Gu, Junyang Yu, Yixin Song, Xin He and Yalin Song, Wubetu Barud Demilie and Ayodeji Olalekan Salau, Tengku Nazmi Tengku Asmawi, Azlan Ismail and Jun Shen, Kumaresan Perumal, Senthilkumar Mohan, Jaroslav Frnda and Parameshachari Bidare Divakarachari, Rana Ghazali, Sahar Adabi, Ali Rezaee, Douglas G. Down and Ali Movaghar, Aos Mulahuwaish, Shane Korbel and Basheer Qolomany, Fang Yin, Xiaomei Jiao, Jincheng Zhou, Xiong Yin, Ebuka Ibeke, Marvellous GodsPraise Iwendi and Cresantus Biamba, Yu Zhou, Hui Ge, Bowen Ma, Shuhang Zhang and Jiwei Huang, Suresh Ponnan, Tikkireddi Aditya Kumar, Hemakumar VS, Sakthieswaran Natarajan and Mohd Asif Shah, Xiaoyue Feng, Chaopeng Guo, Tianzhe Jiao and Jie Song, Yu Xie, Kuilin Zhang, Huaizhen Kou and Mohammad Jafar Mokarram, Fang Yin, Xiong Yin, Jincheng Zhou, Xinli Zhang, Ruihua Zhang, Ebuka Ibeke, Marvellous GodsPraise Iwendi and Mohammad Shah, Saravanan Muniswamy and Radhakrishnan Vignesh, Tao Hai, Jincheng Zhou, Ning Li, Sanjiv Kumar Jain, Shweta Agrawal and Imed Ben Dhaou, Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu and Bo Yuan, Yiguang Gong, Kai Chen, Tianyu Niu and Yunping Liu, Anand K. Mishra, Emmanuel S. Pilli and Mahesh C. Govil, Secure routing protocol based on dynamic reputation and load balancing in wireless mesh networks, Reconnoitering the significance of security using multiple cloud environments for conveyance applications with blowfish algorithm, A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization, Cloud-based multiclass anomaly detection and categorization using ensemble learning, Distributed reinforcement learning-based memory allocation for edge-PLCs in industrial IoT, Mobility-aware hierarchical fog computing framework for Industrial Internet of Things (IIoT), Energy-efficient allocation for multiple tasks in mobile edge computing, An efficient quality of services based wireless sensor network for anomaly detection using soft computing approaches, Serverless computing: a security perspective, A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach, Cloud-based blockchain technology to identify counterfeits, A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing, Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations, An enhanced encryption-based security framework in the CPS Cloud, Fog computing application of cyber-physical models of IoT devices with symbolic approximation algorithms, Cost-effective land cover classification for remote sensing images, A designated verifier multi-signature scheme in multi-clouds, A robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos, Defect knowledge graph construction and application in multi-cloud IoT, Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model, Real-time trajectory privacy protection based on improved differential privacy method and deep learning model, Quality assurance awareness in higher education in China: big data challenges, MF-GCN-LSTM: a cloud-edge distributed framework for key positions prediction in grid projects, RDPNet: a single-path lightweight CNN with re-parameterization for CPU-type edge devices, Cloud based evaluation of databases for stock market data, Privacy-aware and Efficient Student Clustering for Sport Training with Hash in Cloud Environment, Voice spoofing countermeasure for voice replay attacks using deep learning, Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform, Efficient and scalable patients clustering based on medical big data in cloud platform, Automated all in one misspelling detection and correction system for Ethiopian languages, Cloud failure prediction based on traditional machine learning and deep learning, Dynamic resource provisioning and secured file sharing using virtualization in cloud azure, CLQLMRS: improving cache locality in MapReduce job scheduling using Q-learning, Improving datacenter utilization through containerized service-based architecture, Fintech application on banking stability using Big Data of an emerging economy, Collaborative task offloading and resource allocation with hybrid energy supply for UAV-assisted multi-clouds, Congestion aware low power on chip protocols with network on chip with cloud security, Future of industry 5.0 in society: human-centric solutions, challenges and prospectiveresearch areas, A maturity model for AI-empowered cloud-native databases: from the perspective of resource management, Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing, Tourism cloud management system: the impact of smart tourism, BTP: automatic identification and prediction of tasks in data center networks, Research on influencing factors of artificial intelligence multi-cloud scheduling applied talent training based on DEMATEL-TAISM, Locality sensitive hashing-aware fruit fly optimization algorithm and its application in edge server placement, DSTS: A hybrid optimal and deep learning for dynamic scalable task scheduling on container cloud environment, Cloud-based bug tracking software defects analysis using deep learning, Low-rate Denial of Service attack detection method based on time-frequency characteristics, The least-used key selection method for information retrieval in large-scale Cloud-based service repositories, Grid-Based coverage path planning with NFZ avoidance for UAV using parallel self-adaptive ant colony optimization algorithm in cloud IoT, CONTAIN4n6: a systematic evaluation of container artifacts, Sign up for article alerts and news from this journal, Source Normalized Impactper Paper (SNIP). 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