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SMART 4.0: towards genomic data integration

I. Letunic
2004 Nucleic Acids Research  
The January 2004 release of SMART contains 685 protein domains. New developments in SMART are centred on the integration of data from completed metazoan genomes.  ...  SMART now uses predicted proteins from complete genomes in its source sequence databases, and integrates these with predictions of orthology.  ...  identi®ers or actual sequences, either by directly pasting the data into their web browser, or by uploading a ®le to the SMART server.  ... 
doi:10.1093/nar/gkh088 pmid:14681379 pmcid:PMC308822 fatcat:xl4mcczxnnb6hfca7ifu7ghn7u

Internet-of-Things-Assisted Smart System 4.0 Framework Using Simulated Routing Procedures

Jinglei Su, Xue Chu, Seifedine Kadry, Rajkumar S
2020 Sustainability  
For the smart system 4.0 framework, a highly reliable communication network based on the WSN is critically important for the successful operation of electricity grids in the next decade.  ...  Internet of Things (IoT) and Wireless Sensor Networks (WSNs) have recently been developed substantially to contribute to the fourth transformation of the power grid, namely the smart grid.  ...  The smart grid can be described as a smart electrical grid integrating an electrical network with smart digital communication technologies.  ... 
doi:10.3390/su12156119 fatcat:wvs5wgykxfa5djqjumz4v4bnvu

A Novel Smart Healthcare Design, Simulation, and Implementation using Healthcare 4.0 Processes

Adarsh Kumar, Rajalakshmi Krishnamurthi, Anand Nayyar, Kriti Sharma, Vinay Grover, Eklas Hossain
2020 IEEE Access  
Towards industry 4.0 trends, integration of blockchain technology with IoT, cyber-physical systems and other industry 4.0 trends are considered for digital economybased applications that can create a potential  ...  The proposed approach is integrated with IoT but it lacks incomplete industry 4.0 integration.  ... 
doi:10.1109/access.2020.3004790 fatcat:vuhbsiwxsrbhzl7clevewtqjni

ABC Spotlight on Analytics 4.0

Michael Mayer, Antje J. Baeumner
2018 Analytical and Bioanalytical Chemistry  
Connectivity, data readout, storage, sharing, and logging are as important to Analytics 4.0 as these are integral elements of the IoT.  ...  Developing these technologies toward Analytics 4.0 performance is an important grand future task and highly desirable for multidimensional analysis.  ...  Her research is focused on the development of biosensors, micro-total analysis systems and smart lateral flow assays for detection of pathogens and toxins in food and the environment, and for medical diagnostics  ... 
doi:10.1007/s00216-018-1191-7 pmid:29936572 fatcat:kubqfwzpqne6tl3eenfkgeedqy

Health 4.0: Applications, Management, Technologies and Review

Abdeldjalil KHELASSI, Vania Vieira Estrela, Ana Carolina Borges Monteiro, Reinaldo Padilha França, Yuzo Iano, Navid Razmjooy
2019 Medical Technologies Journal  
The Industry 4.0 Standard (I4S) employs technologies for automation and data exchange through cloud computing, Big Data (BD)  ...  In CPSs, it is also vital to have different services combined and integrated to significantly improve data readings to guarantee creation and recording of meaningful data.  ...  Genomics, proteomics, bioinformatics, and functional genomics are molecular biology technologies indispensable for the molecular theragnostics evolution.  ... 
doi:10.26415/2572-004x-vol2iss4p262-276 fatcat:5x42ssfupzeu3lo3j4kcpel33a

Industry 4.0: Exploring the concept and implications for business
Industrija 4.0 - istraživanje koncepta i implikacija za poslovanje

Žarko Đorić, Milijana Roganović
2021 International Journal of Economic Practice and Policy  
In that context, Industry 4.0, Industrial Revolution 4.0 or the Fourth Industrial Revolution aimed at creating smart products, procedures, processes and ultimately entire production.  ...  Having in mind the above mentioned, the paper's primary goal is to look at the effects and problems of Industry 4.0 from the perspective of the business sphere in a general sense.  ...  According to Majstorović, Đurđanović, Ni, Mitrović and Miletić (2016) the Industry 4.0 model for our country should focus on the following strategic goals: (1) work intensively on strengthening production  ... 
doi:10.5937/skolbiz1-34989 fatcat:bpqnojzj5fce3ca4ftj3dknlhu


Gilberto Marzano, Luis Ochoa Siguencia
2021 Environment Technology Resources Proceedings of the International Scientific and Practical Conference  
can have unpredictable effects.Nowadays, in a smart factory, the role of human operators is often only to control and supervise the automated processes.  ...  Industry 4.0 is a term first introduced by the German government during the Hannover Messe fair in 2011 when it launched an initiative to support German industry in tackling future challenges.  ...  be performed with smart approaches.  ... 
doi:10.17770/etr2021vol2.6546 fatcat:y3hugxprn5aohmunmv2zktwcf4

Industry 4.0 Applications for Medical/Healthcare Services

Shuva Paul, Muhtasim Riffat, Abrar Yasir, Mir Nusrat Mahim, Bushra Yasmin Sharnali, Intisar Tahmid Naheen, Akhlaqur Rahman, Ambarish Kulkarni
2021 Journal of Sensor and Actuator Networks  
The whole ecosystem is moving towards Healthcare 4.0, through the application of Industry 4.0 methodologies.  ...  Many technical and innovative approaches have had an impact on moving the sector towards the 4.0 paradigm.  ...  EncrypGen has provided a genomic data sharing platform. Their Gene-Chain platform is the world's first fully functional blockchain genomic data marketplace.  ... 
doi:10.3390/jsan10030043 fatcat:qze3zq53izevzoy6zpx4n3myya

Introduction of Smart Agriculture [chapter]

Christian Zinke-Wehlmann, Karel Charvát
2021 Big Data in Bioeconomy  
This chapter motivates the use and describes the rise of smart agriculture.  ...  AbstractSmart agriculture is a rising area bringing the benefits of digitalization through big data, artificial intelligence and linked data into the agricultural domain.  ...  The data came from several sources, such as phenomics, genomics and sensors.  ... 
doi:10.1007/978-3-030-71069-9_14 fatcat:cxatkyi3w5dyjnix5o7jfoxh24

Industry 4.0 and Digitalisation in Healthcare

Vladimir V. Popov, Elena V. Kudryavtseva, Nirmal Kumar Katiyar, Andrei Shishkin, Stepan I. Stepanov, Saurav Goel
2022 Materials  
Industry 4.0 in healthcare involves use of a wide range of modern technologies including digitisation, artificial intelligence, user response data (ergonomics), human psychology, the Internet of Things  ...  , machine learning, big data mining, and augmented reality to name a few.  ...  Big Data Analytics (BDA) Big data analytics (BDA) is one of the key components of Industry 4.0.  ... 
doi:10.3390/ma15062140 pmid:35329592 pmcid:PMC8953130 fatcat:jqj6azjt4vdpjegwalfx7o626m

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Ocident Bongomin, Gilbert Gilibrays Ocen, Eric Oyondi Nganyi, Alex Musinguzi, Timothy Omara
2020 Journal of Engineering  
This study proposes the need to address the integration of industry 4.0 concepts into the current education system.  ...  , Cyber-physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones, and Biotechnology were identified.  ...  As we move to industry 4.0, AI advancement gear towards integration of AI technology with other technologies such as Big Data, cloud computing to perform gigantic tasks, and to widen their application  ... 
doi:10.1155/2020/4280156 fatcat:uz3ffrk3anflllxgt2bqq55j7u

MeteoMex: open infrastructure for networked environmental monitoring and agriculture 4.0

Robert Winkler
2021 PeerJ Computer Science  
The data are stored in a PostgreSQL database, which enables data mining.  ...  Knowing key parameters such as soil moisture, air, and water quality is essential for smart farming and urban development.  ...  Cei Abreu (National Laboratory of Genomics for Biodiversity, UGA/Langebio, Cinvestav Irapuato, Mexico) and Dr.  ... 
doi:10.7717/peerj-cs.343 pmid:33816994 pmcid:PMC7959651 fatcat:fllfyktuqfc75fza6cqups6gqa

Pharma 4.0 Continuous mRNA Drug Products Manufacturing

Andreas Ouranidis, Christina Davidopoulou, Reald-Konstantinos Tashi, Kyriakos Kachrimanis
2021 Pharmaceutics  
Our secondary objective is to harvest the obtained technological data and conduct resource commitment analysis.  ...  Systems-based Pharmaceutics 4.0 digital design enabling tools, i.e., converging mass and energy balance simulations, Monte-Carlo machine learning iterations, and spatial arrangement analysis were recruited  ...  This, systems-based approach, is therefore suited to support Smart Good Manufacturing Practices, enabling the 4.0 industrial principles' introduction.  ... 
doi:10.3390/pharmaceutics13091371 pmid:34575447 pmcid:PMC8466472 fatcat:swlxnsvmn5bfnpsoz6s22iviue

Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems

C.R. Eastwood, J.P. Edwards, J.A. Turner
2021 Animal  
Digital technologies are now leading us into the fourth agricultural revolution, where sustainable food production is supported by technologies that collect data useful for farm and supply chain performance  ...  The aims of this paper are to articulate current trends in technology and livestock systems and anticipate future trajectories for Agriculture 4.0 in relation to meeting sustainability and animal welfare  ...  In the future, this may evolve to a more open architecture underpinned by cheap storage business models and smart models to interpret the integrated data, linked to user friendly interfaces provided by  ... 
doi:10.1016/j.animal.2021.100296 pmid:34246598 fatcat:hrbwib54afgl5f5floxni2pxra

Assessment procedure for the soft skills requested by Industry 4.0

Gabriela Beatrice Cotet, Beatrice Adriana Balgiu, Violeta – Carmen Zaleschi (Negrea), I. Bondrea, C. Simion, M. Inţă
2017 MATEC Web of Conferences  
The premise behind this article is that of the need to adapt the human resource performance to the requests of the industry 4.0 being supported by the organizational culture.  ...  These capabilities should complete professional technical hard-skills; the procedure should provide a map for the constellation of capabilities necessary to adapt and perform, in specific industry 4.0  ...  Cyber-physical systems and the Internet of Things, big data and cloud computing, robotics, artificial-intelligence based systems and additive manufacturing are the integrated components of fourth industrial  ... 
doi:10.1051/matecconf/201712107005 fatcat:pnfw6nkrezfufata5ietwj567q
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