scholarly journals A Perspective Roadmap for IoMT-Based Early Detection and Care of the Neural Disorder, Dementia

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Sapna Juneja ◽  
Gaurav Dhiman ◽  
Sandeep Kautish ◽  
Wattana Viriyasitavat ◽  
Kusum Yadav
Keyword(s):  
Early Detection ◽  
Dementia Patient ◽  
Daily Routine ◽  
Care Model ◽  
Computing Device ◽  
Normal Behavior ◽  
Comprehensive Survey ◽  
Neural Disorders ◽  
Vital Parameters ◽  
Open Issues

The Internet of Medical Things (IoMT) has emerged as one of the most important key applications of IoT. IoMT makes the diagnosis and care more convenient and reliable with proven results. The paper presents the technology, open issues, and challenges of IoMT-based systems. It explores the various types of sensors and smart equipment based on IoMT and used for diagnosis and patient care. A comprehensive survey of early detection and postdetection care of the neural disorder dementia is conducted. The paper also presents a postdiagnosis dementia care model named “Demencare.” This model incorporates eight sensors capable of tracking the daily routine of dementia patient. The patients can be monitored locally by an edge computing device kept at their premises. The medical experts may also monitor the patients’ status for any deviation from normal behavior. IoMT enables better postdiagnosis care for neural disorders, like dementia and Alzheimer’s. The patient’s behavior and vital parameters are always available despite the remote location of the patients. The data of the patients may be classified, and new insights may be obtained to tackle patients in a better manner.

Spam 2.0 State of the Art

2012 ◽  
Vol 4 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Pedram Hayati ◽  
Vidyasagar Potdar
Keyword(s):  
Early Detection ◽  
Web 2.0 ◽  
Social Networking ◽  
State Of The Art ◽  
The State ◽  
Online Forums ◽  
Mass Content ◽  
Social Networking Websites ◽  
Comprehensive Survey

Spam 2.0 is defined as the propagation of unsolicited, anonymous, mass content to infiltrate legitimate Web 2.0 applications. A fake eye-catching profile in social networking websites, a promotional review, a response to a thread in online forums with unsolicited content, or a manipulated Wiki page are examples of Spam 2.0. In this paper, the authors provide a comprehensive survey of the state-of-the-art, detection-based, prevention-based and early-detection-based Spam 2.0 filtering methods.

Use of score sheets for welfare assessment of transgenic mice

2001 ◽  
Vol 35 (4) ◽  
pp. 379-389 ◽  
Author(s):  
M. van der Meer ◽  
A. Rolls ◽  
V. Baumans ◽  
B. Olivier ◽  
L. F. M. van Zutphen
Keyword(s):  
Early Detection ◽  
Transgenic Mice ◽  
Large Scale ◽  
Transgenic Animal ◽  
Daily Routine ◽  
Careful Monitoring ◽  
Welfare Assessment ◽  
Daily Care ◽  
Routine Monitoring ◽  
Transgenic Lines

The use of transgenic mice has increased dramatically in recent years and continues to increase further. However, because transgenesis may alter a balanced genotype and produce unpredictable effects, careful monitoring of health and welfare of the transgenic animal is advised. The present study assessed the feasibility of the use of score sheets for monitoring transgenic mice, as part of daily routine, in a transgenic unit. The score sheets used were based on parameters which are sensitive and easy to determine. The score sheets were used by two animal technicians and a thorough evaluation showed that the score sheets, as described in this paper, are useful for routine monitoring in a transgenic unit and may result in the early detection of animal welfare problems. However, notwithstanding the limited number of parameters included and the restricted age-span covered by the screening, the monitoring system was considered to be time consuming. Large-scale implementation of such a scoring system during the first weeks of life would increase daily care time by at least 15-20 min for an average litter of 4-6 pups. Nevertheless, the use of score sheets seems to be a prerequisite for monitoring the animal's welfare in the course of producing transgenic lines.

scholarly journals Neural Machine Reading Comprehension: Methods and Trends

2019 ◽  
Vol 9 (18) ◽  
pp. 3698 ◽  
Author(s):  
Shanshan Liu ◽  
Xin Zhang ◽  
Sheng Zhang ◽  
Hui Wang ◽  
Weiming Zhang
Keyword(s):  
Reading Comprehension ◽  
Deep Learning ◽  
Research Field ◽  
The Past ◽  
Learning Techniques ◽  
Comprehensive Survey ◽  
Recent Trends ◽  
General Architecture ◽  
Machine Reading ◽  
Open Issues

Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques over the past few years. Although research on MRC based on deep learning is flourishing, there remains a lack of a comprehensive survey summarizing existing approaches and recent trends, which motivated the work presented in this article. Specifically, we give a thorough review of this research field, covering different aspects including (1) typical MRC tasks: their definitions, differences, and representative datasets; (2) the general architecture of neural MRC: the main modules and prevalent approaches to each; and (3) new trends: some emerging areas in neural MRC as well as the corresponding challenges. Finally, considering what has been achieved so far, the survey also envisages what the future may hold by discussing the open issues left to be addressed.

scholarly journals Dental Caries among Tasters and Non-Tasters of PTC Substance in Students of Qurna Population

2019 ◽  
Vol 9 (1) ◽  
pp. 82
Author(s):  
Hasna Amir Mohaus
Keyword(s):  
Dental Caries ◽  
Early Detection ◽  
Secondary Students ◽  
Significant Relationship ◽  
Caries Prevention ◽  
Future Research ◽  
Human Populations ◽  
Daily Routine ◽  
Age Group ◽  
Dietary Regimen

Objective: Dental caries is one of the most common diseases found in human populations and it is still prevalent and widespread in all around the world. newer strategies emphasize disease prevention as a model of disease management. For early detection and monitoring of caries rather than treatment Taste has valuable roles in our lives in health and disease. genetic markers such as PTC substance taste ability may represent a useful tool to predict the susceptibility to caries. This study aims to investigate the relationship between the taste ability of phenylthiocarbamide (PTC) substance and dental caries. Materials and Methods: The current study was conducted from November 2017 to April 2018 in Qurna and Madiana population/Basrah/Iraq, PTC taste sensitivity was determined among random sample of (406) student from primary and secondary schools; 216 males and 190 females, their ages ranging from (6-17) years old. For dental caries assessment, dmft/DMFT scores were recorded. Individuals were divided into three groups (low, high and very high) according to their dental caries severity in addition to the free caries individuals. Results: The proportion of tasters were higher as compared to non-tasters in this sample. The results showed an increase in the prevalence of caries among primary(68%) and secondary (57.6%) school’s students respectively and for both of them (64.03%). In primary school; females had an elevated percentage of caries (73.1%) compared to their counterpart males (65%). The results of this study did not show a significant relationship between the taste of PTC substance and dental caries, with equal proportions of caries prevalence among tasters and non-tasters (P > 0.05). However, the results showed significant differences in age effect in the prevalence of dental caries among primary and secondary students as it increased in individuals of the age group (6-12) years compared to the age group (13-17) years. Conclusion: The results of this study did not show a significant relationship between the taste of PTC substance and dental caries. In other hand age have a significant influence especially in primary age school and females were more affected than males. The appearance of the two phenotypes of PTC taste may be due to the involvement of other genes, rather than the PTC gene only, including CA6 gene and its variation , which in turn affects the pH capacity of the saliva, a factor associated with tooth decay. Due to the multifactorial nature of dental caries, the individual’s vulnerability may differ from one to another. In addition, particularly regarding diet, part of the strategy to be adopted can be defined as health promotion by preventing the occurrence of the disease rather than treatment. Integrating a healthy dietary regimen into the daily routine can have a real influence on oral health and can be regarded as a primary step towards caries prevention. future research efforts should continue to emphasize early detection and caries prevention strategies.

Role of the Internet of Things for Early Detection of Covid-19 Infections: a Comprehensive Survey

2021 ◽  
Author(s):  
Sanjoy Mondal ◽  
Indrakshi Ghosh ◽  
Sayak Ghosh ◽  
Ayushi Gupta ◽  
Dipankar Basu
Keyword(s):  
Internet Of Things ◽  
Early Detection ◽  
The Internet ◽  
Comprehensive Survey ◽  
The Internet Of Things

scholarly journals Network Management and Monitoring Solutions for Vehicular Networks: A Survey

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 853 ◽  
Author(s):  
João Dias ◽  
Joel Rodrigues ◽  
Vasco Soares ◽  
João Caldeira ◽  
Valery Korotaev ◽  
...  
Keyword(s):  
Vehicular Networks ◽  
Low Cost ◽  
Efficient Solutions ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Node Density ◽  
Intelligent Transport ◽  
Comprehensive Survey ◽  
Network Disruption ◽  
Open Issues

Vehicular networks are emerging as a promising technology that enables reliable and low-cost solutions for intelligent transport systems (ITSs), mainly due to their enormous potential to be considered for multiple purposes and scenarios. These networks are characterized by unique and challenging features such as packet fragmentation, low node density, short contact duration, and network disruption. These features may result in the absence of a path between the source and destination nodes, which is one of the most challenging issues faced by this type of network. To overcome some of these problems, it is necessary to provide vehicular networks with sophisticated tools or methodologies to implement monitoring and management operations. However, designing efficient solutions for this type of network is not an easy task due to its particular characteristics. This paper elaborates on a comprehensive survey focusing on promising proposals to deal with monitoring and management functionalities in vehicular networks. This work aims not only to present the state of the art on monitoring and management solutions but also to analyze their benefits and drawbacks, identify open issues, and provide guidelines for further contributions.

scholarly journals A Comprehensive Survey on Image Dehazing Based on Deep Learning

2021 ◽  
Author(s):  
Jie Gui ◽  
Xiaofeng Cong ◽  
Yuan Cao ◽  
Wenqi Ren ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Loss Functions ◽  
Evaluation Metrics ◽  
Future Research ◽  
Image Dehazing ◽  
The Core ◽  
Comprehensive Survey ◽  
Open Issues

The presence of haze significantly reduces the quality of images. Researchers have designed a variety of algorithms for image dehazing (ID) to restore the quality of hazy images. However, there are few studies that summarize the deep learning (DL) based dehazing technologies. In this paper, we conduct a comprehensive survey on the recent proposed dehazing methods. Firstly, we conclude the commonly used datasets, loss functions and evaluation metrics. Secondly, we group the existing researches of ID into two major categories: supervised ID and unsupervised ID. The core ideas of various influential dehazing models are introduced. Finally, the open issues for future research on ID are pointed out.

Spam 2.0 State of the Art

2013 ◽  
pp. 103-121
Author(s):  
Pedram Hayati ◽  
Vidyasagar Potdar
Keyword(s):  
Early Detection ◽  
Web 2.0 ◽  
Social Networking ◽  
State Of The Art ◽  
The State ◽  
Online Forums ◽  
Mass Content ◽  
Social Networking Websites ◽  
Comprehensive Survey

Spam 2.0 is defined as the propagation of unsolicited, anonymous, mass content to infiltrate legitimate Web 2.0 applications. A fake eye-catching profile in social networking websites, a promotional review, a response to a thread in online forums with unsolicited content, or a manipulated Wiki page are examples of Spam 2.0. In this paper, the authors provide a comprehensive survey of the state-of-the-art, detection-based, prevention-based and early-detection-based Spam 2.0 filtering methods.

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