scholarly journals “BEING UNITED WE CLOSE, BEING APART WE DIE”: COMMON COMBAT AGAINST COVID-19 IN DENSEST VILLAGE

2021 ◽  
Vol 10 (2) ◽  
pp. 257-274
Author(s):  
Nofrida Panjaitan ◽  
Joko Adianto

The spread of pneumonia cases caused by a new type of Coronavirus (Novel Coronavirus) SARS Cov-2 was established by WHO called Coronavirus Disease 2019 (COVID-19) on February 2020 and designated as a pandemic on March 11, 2020. However, an interesting phenomenon arises, despite the high number of COVID-19 spread in Jakarta. That is as of April 10, 2020, 50 out of 267 urban villages in Jakarta are declared free of COVID-19 (not infected with the virus) and one of them is the most populous village in Jakarta called the most densely populated urban village in Southeast Asia, namely Kalianyar in Tambora Sub District, West Jakarta.This study aims to find out how does Kalianyar combat the spread of COVID-19, recalling that considering the nature of the virus transmission, Kalianyar has high potential to be a vulnerable zone. The research was conducted through a qualitative analysis on a case study of Kalianyar aiming to examine the deep explanation and understanding of distinctive implementation and to obtain the lesson learned from the implementation of Fournier's idea seeing how the common process occurs. The common process occurring within social organization in Kalianyar shows that there are relational and reciprocal relationships resulting from each activity related to the three axes as suggested by Fournier.

Coronavirus or COVID-19 is a new type of disease which is spreading rapidly by human contact and has been declared as a pandemic by the World Health Organization (WHO). In this paper several parameters like age, cough, cold, travel history, contact with an infected family member, breathing trouble and fever are taken into consideration for predicting the spread of this disease. A survey of one hundred people from 8 different states of India namely Maharashtra, Gujrat, Tamil Nadu, Kerala, West Bengal, Assam, Jammu & Kashmir and Himachal Pradesh have been taken into consideration, and based on those values the spread of Coronavirus in different states of India has been calculated using MATLAB fuzzy logic. Prediction of the spread of novel Coronavirus can be predicted using fuzzy logic and based on this prediction further preventive steps can be taken by the higher authorities. Conclusive result indicate that North Eastern states are less likely to be diagnosed with Coronavirus than the Western states of the country.


2018 ◽  
Vol 60 (1) ◽  
pp. 55-65
Author(s):  
Krystyna Ilmurzyńska

Abstract This article investigates the suitability of traditional and participatory planning approaches in managing the process of spatial development of existing housing estates, based on the case study of Warsaw’s Ursynów Północny district. The basic assumption of the article is that due to lack of government schemes targeted at the restructuring of large housing estates, it is the business environment that drives spatial transformations and through that shapes the development of participation. Consequently the article focuses on the reciprocal relationships between spatial transformations and participatory practices. Analysis of Ursynów Północny against the background of other estates indicates that it presents more endangered qualities than issues to be tackled. Therefore the article focuses on the potential of the housing estate and good practices which can be tracked throughout its lifetime. The paper focuses furthermore on real-life processes, addressing the issue of privatisation, development pressure, formal planning procedures and participatory budgeting. In the conclusion it attempts to interpret the existing spatial structure of the estate as a potential framework for a participatory approach.


Author(s):  
Ghotekar D S ◽  
Vishal N Kushare ◽  
Sagar V Ghotekar

Coronaviruses are a family of viruses that cause illness such as respiratory diseases or gastrointestinal diseases. Respiratory diseases can range from the common cold to more severe diseases. A novel coronavirus outbreak was first documented in Wuhan, Hubei Province, China in December 2019. The World Health Organization (WHO) has declared the coronavirus disease 2019 (COVID-19) a pandemic. A global coordinated effort is needed to stop the further spread of the virus. A novel coronavirus (nCoV) is a new strain that has not been identified in humans previously. Once scientists determine exactly what coronavirus it is, they give it a name (as in the case of COVID-19, the virus causing it is SARS-CoV-2).


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 907-912
Author(s):  
Deepika Masurkar ◽  
Priyanka Jaiswal

Recently at the end of 2019, a new disease was found in Wuhan, China. This disease was diagnosed to be caused by a new type of coronavirus and affected almost the whole world. Chinese researchers named this novel virus as 2019-nCov or Wuhan-coronavirus. However, to avoid misunderstanding the World Health Organization noises it as COVID-19 virus when interacting with the media COVID-19 is new globally as well as in India. This has disturbed peoples mind. There are various rumours about the coronavirus in Indian society which causes panic in peoples mind. It is the need of society to know myths and facts about coronavirus to reduce the panic and take the proper precautionary actions for our safety against the coronavirus. Thus this article aims to bust myths and present the facts to the common people. We need to verify myths spreading through social media and keep our self-ready with facts so that we can protect our self in a better way. People must prevent COVID 19 at a personal level. Appropriate action in individual communities and countries can benefit the entire world.


Author(s):  
Bhanu P. Sood ◽  
Michael Pecht ◽  
John Miker ◽  
Tom Wanek

Abstract Schottky diodes are semiconductor switching devices with low forward voltage drops and very fast switching speeds. This paper provides an overview of the common failure modes in Schottky diodes and corresponding failure mechanisms associated with each failure mode. Results of material level evaluation on diodes and packages as well as manufacturing and assembly processes are analyzed to identify a set of possible failure sites with associated failure modes, mechanisms, and causes. A case study is then presented to illustrate the application of a systematic FMMEA methodology to the analysis of a specific failure in a Schottky diode package.


2018 ◽  
Vol 40 ◽  
pp. 04017
Author(s):  
Adrien Vergne ◽  
Céline Berni ◽  
Jérôme Le Coz

There has been a growing interest in the last decade in extracting information on Suspended Sediment Concentration (SSC) from acoustic backscatter in rivers. Quantitative techniques are not yet effective, but acoustic backscatter already provides qualitative information on suspended sediments. In particular, in the common case of a bi-modal sediment size distribution, corrected acoustic backscatter can be used to look for sand particles in suspension and provide spatial information on their distribution throughout a river crosssection. This paper presents a case-study where these techniques have been applied.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3411
Author(s):  
Clara Fernando-Foncillas ◽  
Maria M. Estevez ◽  
Hinrich Uellendahl ◽  
Cristiano Varrone

Wastewater and sewage sludge contain organic matter that can be valorized through conversion into energy and/or green chemicals. Moreover, resource recovery from these wastes has become the new focus of wastewater management, to develop more sustainable processes in a circular economy approach. The aim of this review was to analyze current sewage sludge management systems in Scandinavia with respect to resource recovery, in combination with other organic wastes. As anaerobic digestion (AD) was found to be the common sludge treatment approach in Scandinavia, different available organic municipal and industrial wastes were identified and compared, to evaluate the potential for expanding the resource recovery by anaerobic co-digestion. Additionally, a full-scale case study of co-digestion, as strategy for optimization of the anaerobic digestion treatment, was presented for each country, together with advanced biorefinery approaches to wastewater treatment and resource recovery.


2021 ◽  
pp. 1-13
Author(s):  
Salvatore Dimonte ◽  
Muhammed Babakir-Mina ◽  
Taib Hama-Soor ◽  
Salar Ali

<b><i>Introduction:</i></b> SARS-CoV-2 is a new type of coronavirus causing a pandemic severe acute respiratory syndrome (SARS-2). Coronaviruses are very diverting genetically and mutate so often periodically. The natural selection of viral mutations may cause host infection selectivity and infectivity. <b><i>Methods:</i></b> This study was aimed to indicate the diversity between human and animal coronaviruses through finding the rate of mutation in each of the spike, nucleocapsid, envelope, and membrane proteins. <b><i>Results:</i></b> The mutation rate is abundant in all 4 structural proteins. The most number of statistically significant amino acid mutations were found in spike receptor-binding domain (RBD) which may be because it is responsible for a corresponding receptor binding in a broad range of hosts and host selectivity to infect. Among 17 previously known amino acids which are important for binding of spike to angiotensin-converting enzyme 2 (ACE2) receptor, all of them are conservative among human coronaviruses, but only 3 of them significantly are mutated in animal coronaviruses. A single amino acid aspartate-454, that causes dissociation of the RBD of the spike and ACE2, and F486 which gives the strength of binding with ACE2 remain intact in all coronaviruses. <b><i>Discussion/Conclusion:</i></b> Observations of this study provided evidence of the genetic diversity and rapid evolution of SARS-CoV-2 as well as other human and animal coronaviruses.


2021 ◽  
pp. 1063293X2110031
Author(s):  
Maolin Yang ◽  
Auwal H Abubakar ◽  
Pingyu Jiang

Social manufacturing is characterized by its capability of utilizing socialized manufacturing resources to achieve value adding. Recently, a new type of social manufacturing pattern emerges and shows potential for core factories to improve their limited manufacturing capabilities by utilizing the resources from outside socialized manufacturing resource communities. However, the core factories need to analyze the resource characteristics of the socialized resource communities before making operation plans, and this is challenging due to the unaffiliated and self-driven characteristics of the resource providers in socialized resource communities. In this paper, a deep learning and complex network based approach is established to address this challenge by using socialized designer community for demonstration. Firstly, convolutional neural network models are trained to identify the design resource characteristics of each socialized designer in designer community according to the interaction texts posted by the socialized designer on internet platforms. During the process, an iterative dataset labelling method is established to reduce the time cost for training set labelling. Secondly, complex networks are used to model the design resource characteristics of the community according to the resource characteristics of all the socialized designers in the community. Two real communities from RepRap 3D printer project are used as case study.


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