A Study of Blockchain Framework–Hyperledger Fabric and Implementation as Educational Network

Blockchain, the foundation for Bitcoin, has gained lots of attention recently. Blockchain works as a distributed ledger technology that allows information exchange to take place in a distributed way, and ledger is immutable. Blockchain database removes the necessity of the centralized system; therefore, applications based on Blockchain are getting high in number. This paper covers an discuss in detail of blockchain technology, and its consensus algorithms along with workflow, how trust has will be upon a system having no centralized system. This paper also studies various frameworks being built upon the blockchain systems and how they are helpful in solving many organizational issues and Developing of an application on an existing blockchain framework which is an access based system, has information regarding academic records, certifications and eligibility requirement examination records belong to a person, who can share with any organization, eliminating the need of physical documents

Safety Improvements On Multilane Arterials A Before And After Evaluation Using The Empirical Bayes Method

This study examines the safety effects of the improvements made on multi-lane arterials. The improvements were divided into two categories 1) corridor level improvements, and 2) intersection improvements. Empirical Bayes method, which is one of the most accepted approaches for conducting before-after evaluations, has been used to assess the safety effects of the improvement projects. Safety effects are estimated not only in terms of all crashes but also rear-end (most common type) as well as severe crashes (crashes involving incapacitating and/or fatal injuries) and also angle crashes for intersection improvements. The Safety Performance Functions (SPFs) used in this study are negative binomial crash frequency estimation models that use the information on ADT, length of the segments, speed limit, and number of lanes for corridors. And for intersections the explanatory variables used are ADT, number of lanes, speed limit on major road, and number of lanes on the minor road. GENMOD procedure in SAS was used to develop the SPFs. Corridor SPFs are segregated by crash groups (all, rear-end, and severe), length of the segments being evaluated, and land use (urban, suburban and rural). The results of the analysis show that the resulting changes in safety following corridor level improvements vary widely. Although the safety effect of projects involving the same type of improvement varied, the overall effectiveness of each of the corridor level improvements were found to be positive in terms of reduction in crashes of each crash type considered (total, severe, and rear-end) except for resurfacing projects where the total number of crashes slightly increased after the roadway section is resurfaced. Evaluating additional improvements carried out with resurfacing activities showed that all (other than sidewalk improvements for total crashes) of them consistently led to improvements in safety of multilane arterial sections. It leads to the inference that it may be a good idea to take up additional improvements if it is cost effective to do them along with resurfacing. It was also found that the addition of turning lanes (left and/or right) and paving shoulders were two improvements associated with a project�s relative performance in terms of reduction in rear-end crashes. No improvements were found to be associated with a resurfacing project�s relative performance in terms of changes in (i.e., reducing) severe crashes. For intersection improvements also the individual results of each project varied widely. Except for adding turn lane(s) all other improvements showed a positive impact on safety in terms of reducing the number of crashes for all the crash types (total, severe, angle, and rear-end) considered. Indicating that the design guidelines for this work type have to be revisited and safety aspect has to be considered while implementing them. In all it can be concluded that FDOT is doing a good job in selecting the sites for treatment and it is very successful in improving the safety of the sections being treated although the main objective(s) of the treatments are not necessarily safety related

Maternal factors affecting outcome of induction of labour

Background: Induction of labour is a common procedure in modern obstetrics and accounts for 20% among all deliveries. This study aims to assess the factors associated with success/failure of induction of labour.Methods: This is a cohort study involving 220 women who underwent induction of labour in the department of obstetrics and gynaecology, MGMCRI from December 2016 to May 2018. After obtaining informed consent, patients were recruited into the study. Maternal parameters like age, parity, gestational age, BMI, Bishop score, indication of induction, method of induction, mode of delivery, maternal complications and neonatal parameters like Apgar score, birth weight and NICU admission were analyzed. Association of all parameters with mode of delivery was done by chi square test or Fisher exact test.Results: Out of 220 women who were induced, vaginal delivery rate was 56.4%. Vaginal delivery rate was high in young women of age 20-25 years (65.2%), multiparous women (65.1%), gestational age of > 40-42 weeks (64.7%), with normal BMI (67.7%), with Bishop score ≥ 5(94.6%), induced for PROM and postdates (68.6%) and induced with single agent (74%). Most common indication of caesarean section was fetal distress (43.7%) followed by meconium stained liquor (30.2%). There were no adverse perinatal outcomes.Conclusions: Women of age 20-25 years, normal BMI and induced with single agent showed statistically significant successful induction of labour

Cardiovascular Disease Prediction using Machine Learning Ensemble Methods

Recently the main cause of death occurring due to cardiovascular disease has happened even in the past. Early diagnosis of the disease can be assessed to reduce the high risk and ensure healthiness. Data mining techniques have been significantly used as it helps in zero or less intervention of humans and it is seen as the best technique as it gives precise result with the best accuracy. The study is conducted on ensemble methods and built a model using boosting and bagging classifiers. The objective of this work is to design and implement a heart disease prediction system using machine learning ensemble methods namely, Random Forest, Adaptive Boosting, Gradient Boosting, and XGBoost. The effective performance of the applied ensemble techniques is analyzed, and a mobile application is developed for the same. The proposed mobile application is built as a user interface that accepts data based on clinical attributes concerning heart disease. This mainly helps in the medical field such as laboratories that incorporate the developed model. The outcome of the proposed model predicts the probability of a person suffering from heart disease. The accuracy of the models is evaluated

Magnetization Reversal in Fe Doped SmCrO3

AbstractThe compound SmCr1-xFexO3 perovskites were prepared by citric acid route. The samples were characterized by XRD and SEM The temperature and field dependent magnetization measurements were carried out in the temperature range of 5K to 400K at 0.01T field and -5T to 5 T field at 2K. SmCrO3 compound has shown two magnetic transition temperatures (TN1 and TN2) at 197K and 38K. The observed behavior at 197K is the characteristic of anti-ferromagnetic ordering of Cr 3+ moments with weak ferromagnetism. The drop in magnetization below 38K is due to the spin reorientation of Sm3+ in anti ferromagnetic arrangement and Cr3+spins. The doping of Fe in SmCrO3 compound has shown a decrease in TN1 and also the two magnetization reversals at 177K and 57K. The magnetic behavior at low temperatures is (T<T N1)explained in the context of competition among moments of rare earth(Sm) and transition metal ion(Cr/Fe). The existence of the two magnetization reversals offers the characteristic switching of magnetization without changing the direction of the applied magnetic field

Task shifting to frontline community health workers for improved Diabetes care in low-resource settings in India : A phase II Non-randomized controlled clinical trial

Acknowledgments: We are indebted to the our research team who worked passionately to complete the study, health workers who were willing to function as patient navigators to improve diabetes management, and to all the participants who responded to our screening invitations and structured care Funding: We acknowledge the funding received from Friends of Vellore, UK and NHS Grampian Endowment fund, University of Aberdeen- Approval Number: EA0852Peer reviewedPublisher PD

COMMERCIAL SCALABLE PROCESS FOR THE PREPARATION OF IRBESARTAN INTERMEDIATE

ABSTRACT Development of efficient commercial process for the preparation of highly pure 4&apos;-(2-Butyl-4-oxo-1,3-diazaspir

Clinical Characteristics, Management, and Outcomes of CLIPPERS:

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