A Blockchain based system for Healthcare Digital Twin

Digital Twin (DT) is an emerging technology that replicates any physical phenomenon from a physical space to a digital space in congruence with the physical state. However, devising a Healthcare DT model for patient care is seen as a challenging task as the lack of adequate data collection structure. There are also security and privacy concerns as healthcare data is very sensitive and can be used in malicious ways. Because of these current research gaps, the proper way of acquiring the structured data and managing them in a secure way is very important. In this article, we present a mathematical data model to accumulate the patient relevant data in a structured and predefined way with proper delineation. Additionally, the provided data model is described in harmony with real life contexts. Then, we have used the patient centric mathematical data model to formally define the semantic and scope of our proposed Healthcare Digital Twin ( HDT ) system based on Blockchain. Accordingly, the proposed system is described with all the key components as well as with detailed protocol flows and an analysis of its different aspects. Finally, the feasibility of the proposed model with a critical comparison with other relevant research works have been provided

Survey of Hypertension in Dhaka, Bangladesh: Changing Prescribing Patterns

Purpose: To assess changes in the prescribing pattern of antihypertensive drugs and lifestyle factors associated with hypertensive patients in Dhaka, Bangladesh.Methods: A cross-sectional study was conducted among 50 hypertensive patients in various heart disease hospitals and the consulting rooms of 10 cardiologists in the city of Dhaka to determine changes in prescribing patterns of antihypertensive drugs. Respondents were distributed more or less equally between males and the females.Results: Female patients aged 30 to 40 years (8 %) as well as male patients aged 50 to 60 years (54 %) and 60 to 70 years (12 %) were prone to hypertension. However, patients of both sexes whose age ranged from 40 to 50 (40 %) and 50 to 60 (36 %) were more prone to hypertension. It was observed that 46 % of the patients were overweight. A majority of the patients had diabetes with hypertension (28 %). Moreover, most of the patients (80 %) did not indulge in any physical exercise and were non-smokers but had a family history of hypertension. Combined antihypertensive drugs, especially thiazide diuretics with angiotensin II receptor blockers, calcium antagonists, and angiotensin-converting enzyme (ACE) inhibitors were the first choice of drugs by physicians. The prescribing rate of β-blockers (28.36 %) and combined antihypertensive preparations (40 %) was higher than that of older antihypertensives, viz loop diuretics, propranolol and enalapril.Conclusion: Combination therapy is favored by all doctors who compared with the past prescribing practice of a single medication for hypertension.Keywords: Hypertension, Prescribing pattern, Antihypertensive drugs, Lifestyle factors, Family histor

Survey Paper of Approaches for Real Time Fire Detection

Accidental fire always causes great loss. If that fire is detected in time, then loss can be minimized. Hence there should be more efficient systems to avoid losses. Most of the fire detection systems are based on sensors. These sensors give false alarms in case of cigarette or essence sticks are burnt and these systems are also quite costly. By using fire detection system through video surveillance cameras the cost of system can be reduced. The videos achieved by popular surveillance cameras are analysed and different topologies of information, respectively based on colour and movement are united into a multi expert system in order to increase the overall accuracy of the approach, making it possible its usage in real time applications. The systems use HSV, HSL, YUV models. In these systems, the models are based on colour, motion and shape. The approaches have been tested on a wide database with the aim of assessing its performance both in terms of sensitivity and specificity

Edge Computing in Centralized Data Server Deployment for Network Qos and Latency Improvement for Virtualization Environment

With the advancement of Internet of Things (IoT), the network devices seem to be raising, and the cloud data centre load also raises; certain delay-sensitive services are not responded to promptly which leads to a reduced quality of service (QoS). The technique of resource estimation could offer the appropriate source for users through analyses of load of resource itself. Thus, the prediction of resource QoS was important to user fulfillment and task allotment in edge computing. This study develops a new manta ray foraging optimization with backpropagation neural network (MRFO-BPNN) model for resource estimation using quality of service (QoS) in the edge computing platform. Primarily, the MRFO-BPNN model makes use of BPNN algorithm for the estimation of resources in edge computing. Besides, the parameters relevant to the BPNN model are adjusted effectually by the use of MRFO algorithm. Moreover, an objective function is derived for the MRFO algorithm for the investigation of load state changes and choosing proper ones. To facilitate the enhanced performance of the MRFO-BPNN model, a widespread experimental analysis is made. The comprehensive comparison study highlighted the excellency of the MRFO-BPNN model

Data Analysis as an Online Tool

The emergence of Data analysis and Internet of Things (IOT) has now established a foundation for representing and storing data from domains ranging from smart devices to smart cities. The data collected using sensor from IOT has been made available to the public and has helped a huge number of consumers of data to utilize such data sets for several applications starting from scientific experimentation and modulation to improving commercial activity forbusinesses.Following this has resulted in the requirement for the developing data analysis tools that ease the use for customers and allocating the most constructive tools for a problemstatement.To this end, we attempt to introduce data analysis tool as a web service, which empowers the consumer to make a simple HTTP request for processing data over the internet. Hence, by developing such tools as a web service, we signify the prospective of such a system to support both the progressive and beginner level of data consumer. Further, this work provides an example of the suggested tool on data available publicly, extracted from the day to day trafficdata.Data analysis has reformed the collection of data from day to day real life activities, hence validating a bunch of new web technologies introduced to as smart objects toappear.These objects can be utilized to improve consumer’s experience when initiating an interaction with a service. Certainly, a fixed example of huge IoT systems with authorization to enormous quantities of budding useful Data for data consumers is smart cities with traffic analysis

FACT Prevents the Accumulation of Free Histones Evicted from Transcribed Chromatin and a Subsequent Cell Cycle Delay in G1

The FACT complex participates in chromatin assembly and disassembly during transcription elongation. The yeast mutants affected in the SPT16 gene, which encodes one of the FACT subunits, alter the expression of G1 cyclins and exhibit defects in the G1/S transition. Here we show that the dysfunction of chromatin reassembly factors, like FACT or Spt6, down-regulates the expression of the gene encoding the cyclin that modulates the G1 length (CLN3) in START by specifically triggering the repression of its promoter. The G1 delay undergone by spt16 mutants is not mediated by the DNA–damage checkpoint, although the mutation of RAD53, which is otherwise involved in histone degradation, enhances the cell-cycle defects of spt16-197. We reveal how FACT dysfunction triggers an accumulation of free histones evicted from transcribed chromatin. This accumulation is enhanced in a rad53 background and leads to a delay in G1. Consistently, we show that the overexpression of histones in wild-type cells down-regulates CLN3 in START and causes a delay in G1. Our work shows that chromatin reassembly factors are essential players in controlling the free histones potentially released from transcribed chromatin and describes a new cell cycle phenomenon that allows cells to respond to excess histones before starting DNA replication

Developing Concept Inventories for Critical Thinking Skills

Critical thinking can be defined as the ability of an individual to think both distinctly and rationally. Professors and teachers are generally faced with assessing analytical judgment processes and are, therefore, challenged by whether critical thinking can be taught and how it can be measured. In addition, we have little information on the critical thinking skills that students have when entering university and how available skills change during this transition. Our study examines the transition from High School to University by engaging first and third year Life Sciences students in a series of online surveys and focus groups in an attempt to understand how students adjust to learning course material through: a) changing study routine, b) multiple equally weighted assessments (including lab reports, midterms and group projects) and c) participating in tutorials and group discussions. Therefore, the main focus of our presentation will be to use focus group findings to discuss whether students have evolved and developed disciplined analysis and appropriate critical thinking skills from during their transition from high school to university. The ability to formally examine student perception of their own learning and its potential changes that have occurred throughout their university experience will provide us with the opportunity to more fully identify challenges facing students and may in turn help to establish a set of guidelines for how to best address student learning in the critical first year. During our presentation, we will actively engage the audience in a mock focus group session. This focus group/presentation will ask the questions similar to those in our data collection sessions and our presentation will compare answers from the audience with findings obtained from our focus groups