scholarly journals A Smart Contract-based Access Control Architecture for Telemedicine During Covid-19

2021 ◽  
Author(s):  
hideyat zerga ◽  
Asma AMRAOUI ◽  
badr BENMAMMAR
Keyword(s):  
Access Control ◽  
Fog Computing ◽  
Physiological Data ◽  
Public Health Issue ◽  
Global Public Health ◽  
Distributed Services ◽  
Patient Health ◽  
Set Up ◽  
Fundamental Requirement ◽  
Do So

Abstract In the fight against the COVID-19 epidemic that is currently a major global public health issue, social distancing has been imposed to prevent the massive transmission, thus doctors in hospitals have turned to telemedicine in order to be able to monitor their patient notably those suffering from chronic diseases. To do so, patients need to share their physiological data with doctors. In order to share this data safely, prevent malicious users from tampering with it and protect the privacy of patients, access control becomes a fundamental requirement. In order to set up a real-time (Internet of Thing) IoT enabled healthcare system (HS) scenario like telemedicine, Fog computing (FC) seems to be the best solution comparing to Cloud computing since it provides low latency, highly mobile and geo-distributed services and temporary storage. In this paper, the focus is on access control in the telemedicine systems. Our proposal is based, on one hand, the concept of Fog computing to ensure the distributed aspect needed in the monitoring of patient health remotely; and on the other hand Blockchain (BC) smart contracts, in order to provide a dynamic, optimized and self-adjusted access control.

scholarly journals Secure Lightweight IoT Integrated RFID Mobile Healthcare System

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Vankamamidi S. Naresh ◽  
Sivaranjani Reddi ◽  
Nistala V. E. S. Murthy
Keyword(s):  
Elderly People ◽  
Monitoring System ◽  
Radio Frequency Identification ◽  
Dual Band ◽  
Health Concern ◽  
Physiological Data ◽  
Global Public Health ◽  
Medical Needs ◽  
Patient Health ◽  
Healthcare Monitoring

Patient safety is a global public health concern nowadays, especially in elderly people who need physiological health monitoring systems integrated with a technology which will help to oversee and manage the medical needs. In this direction, we propose a lightweight effective healthcare monitoring system designed by using the Internet of Things (IoT) and Radio Frequency Identification (RFID) tags. In this technique, we use dual-band RFID protocols which are the one working at a high frequency of 13.56 MHz and useful to figure out the individuals, and 2.45 GHz microwave bands are used to monitor corporal information. Sensors are used to monitor and collect patient physiological data; RFID tag is used to recognize the patient. This IoT-based RFID healthcare monitoring system provides acquisition of physiological information of elderly people and patients in hospital. Further, it is aiming to secure patient’s health recordings using hyper elliptic curve- (HEC-) based signcryption algorithm while allowing the doctor to access patient health information. Privacy is provided to variable length patient medical records using different genus curves, and the evaluation shows that the proposed algorithm is optimal with respect to healthcare.

scholarly journals Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1644 ◽  
Author(s):  
Guto Santos ◽  
Patricia Endo ◽  
Kayo Monteiro ◽  
Elisson Rocha ◽  
Ivanovitch Silva ◽  
...  
Keyword(s):  
Deep Learning ◽  
Data Augmentation ◽  
Fog Computing ◽  
Open Data ◽  
Fall Detection ◽  
Public Health Issue ◽  
Global Public Health ◽  
Severe Injuries ◽  
Using Data ◽  
Sensitivity Specificity

Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity. Unsurprisingly, human fall detection and prevention are a major focus of health research. In this article, we consider deep learning for fall detection in an IoT and fog computing environment. We propose a Convolutional Neural Network composed of three convolutional layers, two maxpool, and three fully-connected layers as our deep learning model. We evaluate its performance using three open data sets and against extant research. Our approach for resolving dimensionality and modelling simplicity issues is outlined. Accuracy, precision, sensitivity, specificity, and the Matthews Correlation Coefficient are used to evaluate performance. The best results are achieved when using data augmentation during the training process. The paper concludes with a discussion of challenges and future directions for research in this domain.

Set up and management of a Data Science faculty at Shiga University

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 18-20
Author(s):  
Akimichi Takemura
Keyword(s):  
Data Science ◽  
Science Faculty ◽  
Knowledge And Skills ◽  
International Trends ◽  
Leading Position ◽  
Global Understanding ◽  
Set Up ◽  
The University ◽  
Do So ◽  
Undergraduate Class

Shiga University opened the first data science faculty in Japan in April 2017. Beginning with an undergraduate class of 100 students, the Department has since established a Master's degree programme with 20 students in each annual intake. This is the first data science faculty in Japan and the University intends to retain this leading position, the Department is well-placed to do so. The faculty closely monitors international trends concerning data science and Artificial Intelligence (AI) and adapt its education and research accordingly. The genesis of this department marks a change in Japan's attitudes towards dealing with information and reflects a wider, global understanding of the need for further research in this area. Shiga University's Data Science department seeks to produce well-trained data scientists who demonstrate a good balance of knowledge and skills in each of the three key areas of data science.

scholarly journals Representing, commemorating, and memorizing terrorist attacks: Discussing the US and French experiences

2021 ◽  
pp. 263300242110244
Author(s):  
Alice M. Greenwald ◽  
Clifford Chanin ◽  
Henry Rousso ◽  
Michel Wieviorka ◽  
Mohamed-Ali Adraoui
Keyword(s):  
Historical Context ◽  
The United States ◽  
Terrorist Attacks ◽  
The Political ◽  
Modes Of Operation ◽  
The Us ◽  
Places Of Memory ◽  
Similarities And Differences ◽  
Set Up ◽  
Do So

How do societies and states represent the historical, moral, and political weight of the terrorist attacks they have had to face? Having suffered in recent years from numerous terrorist attacks on their soil originating from jihadist movements, and often led by actors who were also their own citizens, France and the United States have set up—or seek to do so—places of memory whose functions, conditions of creation, modes of operation, and nature of the messages sent may vary. Three of the main protagonists and initiators of two museum-memorial projects linked to terrorist attacks have agreed to deliver their visions of the role and of the political, social, and historical context in which these projects have emerged. Allowing to observe similarities and differences between the American and French approach, this interview sheds light on the place of memory and feeling in societies struck by tragic events and seeking to cure their ills through memory and commemoration.

scholarly journals Management of chronic kidney disease- an update

2015 ◽  
Vol 9 (1) ◽  
pp. 46-52
Author(s):  
Faruk Ahammad
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Public Health Issue ◽  
Global Public Health ◽  
Kidney Structure ◽  
Disease Epidemiology ◽  
Urine Albumin ◽  
Referral Criteria ◽  
Previous Definition ◽  
One Year

Chronic kidney disease (CKD) is a global public health issue demanding continuous improvement in its management. Different international groups and organizations have now achieved a good progress in its definition, classification (staging), treatment and referral criteria to nephrologists. In definition of CKD, "CKD is defined as abnormalities of kidney structure or function, present for at least three months with implications for health", the phrase "with implications for health" has been added at the end of the previous definition, which reflects the concept that there may be certain abnormalities of kidney structure or function that do not have prognostic consequences (for example, a simple renal cyst). At staging of CKD, grade 3 has been subdivided into G3a and G3b, according to whether the glomerular filtration rate (GFR) is (59 - 45) or (44 - 30) ml/min/1.73m2, respectively. Furthermore, albuminuria has been classified in any GFR grade, in to A1, A2 or A3 according to the albumin-creatinine ratio (ACR) in an isolated urine sample for values <3, 3-30 or >30mg/mmol, respectively. The term "microalbuminuria" has now been replaced by the term "moderately increased albuminuria". For GFR measurement Chronic Kidney Disease Epidemiology Collaboration (CKD- EPI) equation has been preferred than the Modification of Diet in Renal Disease (MDRD) study equation and new 2012 KDIGO guidelines consider the use of alternative formulas to be acceptable if they have been shown to improve accuracy when compared with the CKD-EPI formula. For detection of albuminuria ACR is preferred rather than conventional 24 hours urine albumin. The recommended BP control target is ?140/90mmHg (both diabetic and non-diabetic) if ACR <3mg/mmol and a stricter target is suggested, with BP ?130/80mmHg, (both in diabetic and non-diabetic) if the ACR is ? 3mg/mmol. Use of erythropoisis-stimulating agent (ESA) in anemia of CKD should be rational; to avoid its adverse effects like stroke, thrombosis or hypertension acceleration and hemoglobin goals should not exceed 11 g per dl. Treating dyslipidaemia in CKD with statins for all adults >50 years of age, irrespective of low density lipoprotien (LDL) cholesterol levels is recommended. Referral to nephrologist should be rational according to guidelines and at least one year prior to the start of renal replacement therapy (RRT).Faridpur Med. Coll. J. 2014;9(1): 46-52

scholarly journals Modified U-Tube for Ruling out Naked DNA Transfer during Conjugation and Application in Antibiotic Resistance Genes Transfer Research

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1313
Author(s):  
Ning Zhang ◽  
Xiang Liu ◽  
Bing Li ◽  
Limei Han ◽  
Xuejiao Ma ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Public Health Issue ◽  
Primary Concern ◽  
Conjugative Transfer ◽  
Donor Strain ◽  
Global Public Health ◽  
Pseudomonas Putida Kt2440 ◽  
Naked Dna

Antibiotic resistance is currently a major global public health issue. In particular, the emergence and transfer of antibiotic resistance genes (ARGs) is a matter of primary concern. This study presented a method for ruling out the transfer of naked DNA (plasmid RP4 lysed from donor cells) during the cell-to-cell conjugation, using a modified “U-tube”. A series of gene transfer assays was conducted in both flask and modified U-tube, using Pseudomonas putida KT2440 (P. putida (RP4)) harboring the RP4 plasmid as the donor strain, Escherichia coli (E. coli, ATCC 25922) in pure culture as sole recipient, and bacteria from reclaimed water microcosms as multi-recipients. The verification experiments showed that the U-tube device could prevent direct contact of bacteria without affecting the exchange of free plasmid. In the experiments involving a sole recipient, the transconjugants were obtained in flask samples, but not in modified U-tube. Furthermore, in experiments involving multi-recipients, transfer of naked DNA in the modified U-tube accounted for 5.18% in the transfer frequency of the flask transfer experiment. The modified U-tube proved to be useful for monitoring the interference of naked DNA in the research of conjugative transfer and calculating the exact conjugative transfer rate. This device is identified as a promising candidate for distinguishing different gene transfers in practical application because of its convenient use and easy and simple manufacture.

scholarly journals Privacy-Preserving Efficient Data Retrieval in IoMT Based on Low-Cost Fog Computing

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Na Wang ◽  
Yuanyuan Cai ◽  
Junsong Fu ◽  
Jie Xu
Keyword(s):  
Energy Cost ◽  
Data Privacy ◽  
Low Cost ◽  
Rapid Development ◽  
Fog Computing ◽  
Bat Algorithm ◽  
Data Retrieval ◽  
High Energy ◽  
Physiological Data ◽  
Range Tree

The rapid development of Internet of Medical Things (IoMT) is remarkable. However, IoMT faces many problems including privacy disclosure, long delay of service orders, low retrieval efficiency of medical data, and high energy cost of fog computing. For these, this paper proposes a data privacy protection and efficient retrieval scheme for IoMT based on low-cost fog computing. First, a fog computing system is located between a cloud server and medical workers, for processing data retrieval requests of medical workers and orders for controlling medical devices. Simultaneously, it preprocesses physiological data of patients uploaded by IoMT, collates them into various data sets, and transmits them to medical institutions in this way. It makes the entire execution process of low latency and efficient. Second, multidimensional physiological data are of great value, and we use ciphertext retrieval to protect privacy of patient data in this paper. In addition, this paper uses range tree to build an index for storing physiological data vectors, and meanwhile a range retrieval method is also proposed to improve data search efficiency. Finally, bat algorithm (BA) is designed to allocate cost on a fog server group for significant energy cost reduction. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.

scholarly journals A comparative study to assess the knowledge and beliefs regarding AIDS among higher secondary students in rural schools of South Kerala and South Tamil Nadu

2021 ◽  
Author(s):  
Jose P. Cyril ◽  
Baburaj Stephenson ◽  
Joy John ◽  
Anju Mirin Alex ◽  
Sony S. Paul ◽  
...  
Keyword(s):  
Secondary Students ◽  
Rural Schools ◽  
Tamil Nadu ◽  
Epidemiological Data ◽  
Public Health Issue ◽  
People Living With Hiv ◽  
Global Public Health ◽  
Knowledge And Beliefs ◽  
Living With Hiv ◽  
Self Administered Questionnaire

Background: HIV continues to be a major global public health issue, having claimed 36.3 million lives so far.  India has the third largest HIV epidemic in the world, with 2.1 million people living with HIV. Epidemiological data on AIDS suggests that in many cases, HIV infection was acquired during adolescence and lack of knowledge is one of the most important reasons.  Hence, an ardent need was felt to assess the knowledge and beliefs of adolescents regarding AIDS. The main objective of this study was to assess the knowledge and beliefs regarding AIDS among higher secondary students of rural schools in South Kerala and in South Tamil Nadu.   Methods: After getting ethical committee clearance, the study was conducted among higher secondary students of twelfth standard using a predesigned and validated self-administered questionnaire. An educational intervention regarding AIDS lasting for 30 min was given after the test. Data analysis was done using appropriate software.Results: The mean knowledge scores of students from Kerala (11.57) and Tamil Nadu (11.51) were almost same. Television, newspaper and teachers were the main source of information about AIDS. Beliefs like Whiteman’s disease can spread through mosquito bite, sharing vessels and giving shake hands/touching were highly prevalent in the study subjects.Conclusions: Proper emphasis should be given to teachers on mentoring adolescents and imparting them with the needed knowledge on HIV/AIDS to enable them to overcome this period of stress and storm.

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