Big Data Challenges and Opportunities in Agriculture

This article reviews various aspects of research concerning the background and state-of-the-art of big data in agriculture. This article focuses on data generation, storage, analysis and visualization in big data. In every phase, technical challenges and the latest advancement are discussed, and these discussions aim to provide a comprehensive overview and complete picture of this exciting area. This survey is concluded with a discussion on the application of big data in precision agriculture and its future directions.

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Biomedical informatics meets data science: current state and future directions for interaction

JAMIA Open ◽

10.1093/jamiaopen/ooy032 ◽

2018 ◽

Vol 1 (2) ◽

pp. 136-141 ◽

Cited By ~ 2

Author(s):

Philip R O Payne ◽

Elmer V Bernstam ◽

Justin B Starren

Keyword(s):

Big Data ◽

Data Science ◽

Clinical Decision Making ◽

Social Issues ◽

Biomedical Informatics ◽

Scientific Discovery ◽

Topic Area ◽

Future Directions ◽

Current State ◽

Challenges And Opportunities

Abstract There are an ever-increasing number of reports and commentaries that describe the challenges and opportunities associated with the use of big data and data science (DS) in the context of biomedical education, research, and practice. These publications argue that there are substantial benefits resulting from the use of data-centric approaches to solve complex biomedical problems, including an acceleration in the rate of scientific discovery, improved clinical decision making, and the ability to promote healthy behaviors at a population level. In addition, there is an aligned and emerging body of literature that describes the ethical, legal, and social issues that must be addressed to responsibly use big data in such contexts. At the same time, there has been growing recognition that the challenges and opportunities being attributed to the expansion in DS often parallel those experienced by the biomedical informatics community. Indeed, many informaticians would consider some of these issues relevant to the core theories and methods incumbent to the field of biomedical informatics science and practice. In response to this topic area, during the 2016 American College of Medical Informatics Winter Symposium, a series of presentations and focus group discussions intended to define the current state and identify future directions for interaction and collaboration between people who identify themselves as working on big data, DS, and biomedical informatics were conducted. We provide a perspective concerning these discussions and the outcomes of that meeting, and also present a set of recommendations that we have generated in response to a thematic analysis of those same outcomes. Ultimately, this report is intended to: (1) summarize the key issues currently being discussed by the biomedical informatics community as it seeks to better understand how to constructively interact with the emerging biomedical big data and DS fields; and (2) propose a framework and agenda that can serve to advance this type of constructive interaction, with mutual benefit accruing to both fields.

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A Study of the Cryptographic Technologies on Big Data Privacy and Security in E-Commerce

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.8329 ◽

2019 ◽

Vol 16 (8) ◽

pp. 3587-3590

Author(s):

Raheem Mafas ◽

Manoj Jayabalan

Keyword(s):

Big Data ◽

Data Privacy ◽

State Of The Art ◽

Not Given ◽

Privacy And Security ◽

Comprehensive Review ◽

Goods And Services ◽

Big Data Privacy ◽

Reasonable Cost ◽

Challenges And Opportunities

In this era, big data is the most common buzzword across different industries due to its capabilities of collecting, processing, storing and analysing data. The advancement of the E-Commerce paved the way for merchants and customers to meet online to satisfy their requirements by exchanging goods and services at a reasonable cost. The challenges and opportunities for big data on the emphasis of data privacy and security is a widely discussed topic among businesses especially E-Commerce merchants. There are several reviews available on emphasizing big data opportunities and challenges with regard to privacy and security. However, a comprehensive review on E-Commerce highlighting thematically on the tools and technologies is not given enough consideration. Therefore, the purpose of this study is to review the state-of-the-art technologies towards privacy and security in the E-Commerce platforms. The identified cryptographic technologies were also discussed with the rational standpoint to understand the viability to apply in the E-Commerce operations. The study concludes with an enlightening path from which the E-Commerce merchants can be vigilant on data privacy and security in future.

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Semantic Integration in Big Data: State-of-the-Art

Journal of Mobile Multimedia ◽

10.13052/jmm1550-4646.1533 ◽

2020 ◽

Author(s):

Zaoui Sayah ◽

Okba Kazar ◽

Ahmed Ghenabzia

Keyword(s):

Health Care ◽

Big Data ◽

State Of The Art ◽

Aviation Safety ◽

Semantic Integration ◽

Decision Makers ◽

Considerable Time ◽

Comprehensive Overview ◽

Information Providers ◽

The Web

Nowadays, web users and systems continually overload the web with an exponential generation of a massive amount of data. This leads to making big data more important in several domains such as social networks, internet of things, health care, E-commerce, aviation safety, etc. The use of big data has become increasingly crucial for companies due to the significant evolution of information providers and users on the web. However, big data remain meaningless without semantics. In order to get a good comprehension of big data, we raise questions about how big data and semantic are related to each other and how semantic may help. To overcome this problem, researchers devote considerable time to the integration of ontology in big data to ensure reliable interoperability between systems in order to make big data more useful, readable and exploitable. This technology can hide the heterogeneity of different data resources. Moreover, in given domains, users can exchange knowledge without caring to choose the suitable semantic that makes their content more expressive. This paper aims to provide a comprehensive overview for readers about big data and the appropriate tools to manipulate and analyse them such as Hadoop. Afterwards, we talk about ontology and how it can be used to improve big data management and analyses for decision makers. Finally, different semantic integration approaches are seen in a comparative study. This survey is concluded with a discussion and some perspectives.

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Telehealth – Future Directions in Cardiovascular Care

European Cardiology Review ◽

10.15420/ecr.2010.6.3.30 ◽

2010 ◽

Vol 6 (3) ◽

pp. 30 ◽

Cited By ~ 1

Author(s):

John GF Cleland ◽

David Barrett ◽

◽

Keyword(s):

Heart Failure ◽

Clinical Practice ◽

Future Development ◽

State Of The Art ◽

Cardiac Care ◽

Future Directions ◽

Heart Failure Patients ◽

Current State ◽

Exciting Area ◽

Cardiovascular Care

Over recent years, telehealth has increasingly demonstrated its value in supporting the delivery of cardiovascular healthcare. From teletriage services as a portal into healthcare through to telemonitoring of heart failure patients, technology is already increasing the ability of practitioners to provide care remotely, empower patients and improve clinical outcomes. In the future, telehealth services have the potential to have an even greater impact on the provision of cardiovascular care. Embedding telehealth services into mainstream cardiac care, the development of more sophisticated devices and the utilisation of technology in a wider range of clinical contexts will help to accelerate the adoption of telehealth throughout healthcare. This article evaluates the current state of the art in telehealth provision and explores some of the areas for future development in this fast-moving and exciting area of clinical practice.

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Big data in IBD: big progress for clinical practice

Gut ◽

10.1136/gutjnl-2019-320065 ◽

2020 ◽

Vol 69 (8) ◽

pp. 1520-1532 ◽

Cited By ~ 5

Author(s):

Nasim Sadat Seyed Tabib ◽

Matthew Madgwick ◽

Padhmanand Sudhakar ◽

Bram Verstockt ◽

Tamas Korcsmaros ◽

...

Keyword(s):

Machine Learning ◽

Big Data ◽

Treatment Options ◽

Health And Safety ◽

Fine Tuning ◽

Molecular Networks ◽

Data Generation ◽

Intrinsic Factors ◽

Challenges And Opportunities ◽

Efficient Integration

IBD is a complex multifactorial inflammatory disease of the gut driven by extrinsic and intrinsic factors, including host genetics, the immune system, environmental factors and the gut microbiome. Technological advancements such as next-generation sequencing, high-throughput omics data generation and molecular networks have catalysed IBD research. The advent of artificial intelligence, in particular, machine learning, and systems biology has opened the avenue for the efficient integration and interpretation of big datasets for discovering clinically translatable knowledge. In this narrative review, we discuss how big data integration and machine learning have been applied to translational IBD research. Approaches such as machine learning may enable patient stratification, prediction of disease progression and therapy responses for fine-tuning treatment options with positive impacts on cost, health and safety. We also outline the challenges and opportunities presented by machine learning and big data in clinical IBD research.

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Microencapsulation for the Therapeutic Delivery of Drugs, Live Mammalian and Bacterial Cells, and Other Biopharmaceutics: Current Status and Future Directions

Journal of Pharmaceutics ◽

10.1155/2013/103527 ◽

2013 ◽

Vol 2013 ◽

pp. 1-19 ◽

Cited By ~ 18

Author(s):

Catherine Tomaro-Duchesneau ◽

Shyamali Saha ◽

Meenakshi Malhotra ◽

Imen Kahouli ◽

Satya Prakash

Keyword(s):

Mammalian Cells ◽

State Of The Art ◽

Current Status ◽

Therapeutic Effects ◽

Bacterial Cells ◽

Comprehensive Overview ◽

Future Directions ◽

Comprehensive Review ◽

Therapeutic Delivery ◽

Physical Chemical

Microencapsulation is a technology that has shown significant promise in biotherapeutics, and other applications. It has been proven useful in the immobilization of drugs, live mammalian and bacterial cells and other cells, and other biopharmaceutics molecules, as it can provide material structuration, protection of the enclosed product, and controlled release of the encapsulated contents, all of which can ensure efficient and safe therapeutic effects. This paper is a comprehensive review of microencapsulation and its latest developments in the field. It provides a comprehensive overview of the technology and primary goals of microencapsulation and discusses various processes and techniques involved in microencapsulation including physical, chemical, physicochemical, and other methods involved. It also summarizes the state-of-the-art successes of microencapsulation, specifically with regard to the encapsulation of microorganisms, mammalian cells, drugs, and other biopharmaceutics in various diseases. The limitations and future directions of microencapsulation technologies are also discussed.

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Application of NiTi in Assistive and Rehabilitation Devices: A Review

Bioengineering ◽

10.3390/bioengineering6020037 ◽

2019 ◽

Vol 6 (2) ◽

pp. 37 ◽

Cited By ~ 27

Author(s):

Mohammadreza Nematollahi ◽

Keyvan Safaei Baghbaderani ◽

Amirhesam Amerinatanzi ◽

Hashem Zamanian ◽

Mohammad Elahinia

Keyword(s):

Medical Devices ◽

State Of The Art ◽

Artificial Muscles ◽

Control Force ◽

Biomedical Devices ◽

Robot Assisted ◽

Comprehensive Overview ◽

Future Directions ◽

Sma Actuator ◽

Rehabilitation Devices

Shape memory alloys (SMAs) have found widespread applications as biomedical devices. Biocompatibility, corrosion resistance, and ductility make these alloys attractive for medical devices such as stents and filters. For these implants, the superelastic property is the primary function of SMAs. Additionally, these alloys, such as NiTi as the prime example, can be used for actuation. Several modes of actuation such as displacement control, force control, and compliance control have been used as harnesses with SMA devices. These two unique properties have opened another application in the form of neurosurgery and robot-assisted surgery devices, as well as controlled assistive and rehabilitation devices. This paper reviews the state of the art of application of SMAs in the latter category where control is applied to harness innovative medical devices. To this end, two major subsets of these devices: prosthesis and orthosis which take the advantage of SMAs in assistive and rehabilitation devices are studied. These devices are further categorized to hand prosthetics, elbow, knee and ankle orthotics. In most of these designs, SMA wires act as artificial muscles to mimic the motion of limbs in the target joints. The evolution of each category is explained, and the specific results of them are reported. The paper also reviews the SMA applications for neurological and neuromuscular rehabilitation. To this end, different categories of rehabilitation devices as a passive and aided exercise for the ankle, knee, and elbow are highlighted. The SMA actuator in these devices can be EMG-controlled to improved patient outcome. In addition to providing a comprehensive overview of the biomedical devices, this paper identifies several possible future directions of SMA related research in the area of assistive and rehabilitation devices.

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