Research on the Construction Scheme of Wuhan Emergency Logistics System Under the Background of Public Health Emergencies

In order to improve the emergency logistics support capacity of Wuhan city and build a transportation power pilot, based on the background of public health emergencies and on the basis of comprehensively summarizing the experience, practices and prominent problems of emergency logistics support work of COVID-19 in Wuhan City, this paper studies from the aspects of development foundation, overall thinking and main tasks, Put forward the systematic framework and specific implementation path of emergency logistics system construction of "building three guarantee systems of reserve facilities, transportation capacity and command and dispatching, and building an information platform”. At the same time, in the construction of emergency logistics command and coordination information platform, K-means clustering method is adopted to achieve scientific matching and efficient connection between emergency materials transit stations and demand points. For other cities It is of practical significance to improve the regional emergency logistics system. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

An prediction of Healthy Diet required to Ease the recovery from Covid-19 using the approach of Machine Learning

Global terror that has shaken the world named, COVID-19 virus has taken away huge number of lives. According to the research there are lot of recovery cases also. Most important thing to survive from this disease is having good immunity. Everyone does not have same level of immunity. One main factor on which immunity depends is having a healthy diet. If the routine of having healthy diet is maintained, then the immunity to fight against this virus increases. It is much required that people need to be informed about having an healthy diet. Using the dataset of healthy dietary and using various machine learning algorithms we can determine what type of diet one person needs to have. By using algorithms like Random Forest, KNN, logistic regression and Support Vector Machines we can determine the type of diet and probability of recovery. The dataset required for analysis needs to have all the information regarding the diet. Based on the dataset the prediction is taken place by using Decision Tree algorithm. This method of finding the appropriate diet of a particular person based on amount of Sugar level, Blood Pressure and BMI can be the most useful research in this pandemic time. © 2022 Institute of Physics Publishing. All rights reserved.

Impact of the Covid Pandemic on Construction Organisations in India-a Case Study

The construction sector in India employs nearly 60 million people, so the unprecedented two-month lockdown to slow the spread of Covid-19 in 2020 had devastating economic and social effects. The reduced demand for projects slowed demand for downstream industries, increased labour migration to villages and reduced logistics support for supplies and resources. This paper reports on the challenges experienced by one of India's leading construction organisations on a major metro contract in Mumbai. It describes the impact of the pandemic on project delivery, including time, cost and supply chain issues, and discusses the mitigation strategies adopted. © 2021 ICE Publishing: All rights reserved.