scholarly journals Safety and Health Management Commitment and Implementation of COVID-19 Prevention at Manufacture Workplace Environment

2020 ◽  
Vol 202 ◽  
pp. 12015
Author(s):  
Priska Dantjie ◽  
Yuliani Setyaningsih ◽  
Nurjazuli

West Java has been conducting Policy of Large-Scale of Social Restriction (in bahasa Pembatasan Sosial Berskala Besar or PSBB). However several companies in wide range of industries are allowed to run the production with health protocol that need to be fulfilled by company in order to keep the worker’s health during this pandemic. One of manufacturing companies with 307 workers in Bekasi Regency is still running the production as part of food production chain. As Indonesian Health Ministry Guidelines for Prevention and Control COVID-19 at Office and Industry Workplace during Policy of PSBB need to be fulfilled, the company implements several actions to protect the worker from COVID-19 at workplace environment. At this moment, safety and health management commitment need to be assessed making sure implementation of the guidelines. In order to make sure COVID-19 prevention, there must be implementation evaluation of Guidelines for Prevention and Control of COVID-19 at Office and Industry Workplace during PSBB Policy. Study shows although the finding of low level safety and health management commitment from worker’s perception, majority Guidelines for Prevention COVID-19 at Office and Industry Workplace during PSBB that focus for workplace environment have been facilitated by the management of company.

Author(s):  
О. Кravchuk ◽  
V. Symonenkov ◽  
I. Symonenkova ◽  
O. Hryhorev

Today, more than forty countries of the world are engaged in the development of military-purpose robots. A number of unique mobile robots with a wide range of capabilities are already being used by combat and intelligence units of the Armed forces of the developed world countries to conduct battlefield intelligence and support tactical groups. At present, the issue of using the latest information technology in the field of military robotics is thoroughly investigated, and the creation of highly effective information management systems in the land-mobile robotic complexes has acquired a new phase associated with the use of distributed information and sensory systems and consists in the transition from application of separate sensors and devices to the construction of modular information subsystems, which provide the availability of various data sources and complex methods of information processing. The purpose of the article is to investigate the ways to increase the autonomy of the land-mobile robotic complexes using in a non-deterministic conditions of modern combat. Relevance of researches is connected with the necessity of creation of highly effective information and control systems in the perspective robotic means for the needs of Land Forces of Ukraine. The development of the Armed Forces of Ukraine management system based on the criteria adopted by the EU and NATO member states is one of the main directions of increasing the effectiveness of the use of forces (forces), which involves achieving the principles and standards necessary for Ukraine to become a member of the EU and NATO. The inherent features of achieving these criteria will be the transition to a reduction of tasks of the combined-arms units and the large-scale use of high-precision weapons and land remote-controlled robotic devices. According to the views of the leading specialists in the field of robotics, the automation of information subsystems and components of the land-mobile robotic complexes can increase safety, reliability, error-tolerance and the effectiveness of the use of robotic means by standardizing the necessary actions with minimal human intervention, that is, a significant increase in the autonomy of the land-mobile robotic complexes for the needs of Land Forces of Ukraine.


2020 ◽  
Vol 18 (4) ◽  
pp. 228-236
Author(s):  
Zeinab Najafi ◽  
Leila Taj ◽  
Omid Dadras ◽  
Fatemeh Ghadimi ◽  
Banafsheh Moradmand ◽  
...  

: Iran has been one of the active countries fighting against HIV/AIDS in the Middle East during the last decades. Moreover, there is a strong push to strengthen the national health management system concerning HIV prevention and control. In Iran, HIV disease has its unique features, from changes in modes of transmission to improvement in treatment and care programs, which can make it a good case for closer scrutiny. The present review describes the HIV epidemic in Iran from the first case diagnosed until prevention among different groups at risk and co-infections. Not only we addressed the key populations and community-based attempts to overcome HIV-related issues in clinics, but we also elaborated on the efforts and trends in society and the actual behaviors related to HIV/AIDS. Being located in the Middle East and North Africa (MENA) region, given the countryspecific characteristics, and despite all the national efforts along with other countries in this region, Iran still needs to take extra measures to reduce HIV transmission, especially in health education. Although Iran is one of the pioneers in implementing applicable and appropriate policies in the MENA region, including harm reduction services to reduce HIV incidence, people with substance use disorder continue to be the majority of those living with HIV in the country. Similar to other countries in this region, the HIV prevention and control programs aim at 90-90-90 targets to eliminate HIV infection and reduce the transmission, especially the mother-to-child transmission and among other key populations.


Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 126
Author(s):  
Hai-Feng Ling ◽  
Zheng-Lian Su ◽  
Xun-Lin Jiang ◽  
Yu-Jun Zheng

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Qing Cheng ◽  
Zeyi Liu ◽  
Guangquan Cheng ◽  
Jincai Huang

AbstractBeginning on December 31, 2019, the large-scale novel coronavirus disease 2019 (COVID-19) emerged in China. Tracking and analysing the heterogeneity and effectiveness of cities’ prevention and control of the COVID-19 epidemic is essential to design and adjust epidemic prevention and control measures. The number of newly confirmed cases in 25 of China’s most-affected cities for the COVID-19 epidemic from January 11 to February 10 was collected. The heterogeneity and effectiveness of these 25 cities’ prevention and control measures for COVID-19 were analysed by using an estimated time-varying reproduction number method and a serial correlation method. The results showed that the effective reproduction number (R) in 25 cities showed a downward trend overall, but there was a significant difference in the R change trends among cities, indicating that there was heterogeneity in the spread and control of COVID-19 in cities. Moreover, the COVID-19 control in 21 of 25 cities was effective, and the risk of infection decreased because their R had dropped below 1 by February 10, 2020. In contrast, the cities of Wuhan, Tianmen, Ezhou and Enshi still had difficulty effectively controlling the COVID-19 epidemic in a short period of time because their R was greater than 1.


2021 ◽  
pp. 1-13
Author(s):  
Wu Jing

In year 2020, a large-scale outbreak of pneumonia caused by new coronavirus has affected the development of many industries and enterprises in China. Under the strong leadership of the Chinese government, the development of the epidemic situation in China has been well controlled. The development of various industries also began to show a good situation, many large-scale sports competitions also need to be restored. In order to ensure the normal development of large-scale sports events, we need to consider the development of epidemic situation to determine the time of sports events. Based on the study of FPGA theory, this paper designs a specific scheme of programming and system debugging, which includes a variety of program operations. In order to better predict the situation of the epidemic situation, this paper also uses the basic knowledge of machine learning to establish a relevant model to evaluate the situation of large-scale sports events under the development of the epidemic situation, and provide feasible suggestions for the recovery of large-scale sports events under the epidemic situation.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Nicola Caterino ◽  
Mariacristina Spizzuoco ◽  
Julian M. Londoño ◽  
Antonio Occhiuzzi

This work focuses on the issues to deal with when approaching experimental testing of structures equipped with semiactive control (SA) systems. It starts from practical experience authors gained in a recent wide campaign on a large scale steel frame structure provided with a control system based on magnetorheological dampers. The latter are special devices able to achieve a wide range of physical behaviours using low-power electrical currents. Experimental activities involving the use of controllable devices require special attention in solving specific aspects that characterize each of the three phases of the SA control loop: acquisition, processing, and command. Most of them are uncommon to any other type of structural testing. This paper emphasizes the importance of the experimental assessment of SA systems and shows how many problematic issues likely to happen in real applications are also present when testing these systems experimentally. This paper highlights several problematic aspects and illustrates how they can be addressed in order to achieve a more realistic evaluation of the effectiveness of SA control solutions. Undesired and unavoidable effects like delays and control malfunction are also remarked. A discussion on the way to reduce their incidence is also offered.


2020 ◽  
Vol 8 (5) ◽  
pp. 697 ◽  
Author(s):  
Jieling Li ◽  
Ming Hu ◽  
Yang Xue ◽  
Xia Chen ◽  
Guangtao Lu ◽  
...  

Dickeya zeae is the causal agent of bacterial soft rot disease, with a wide range of hosts all over the world. At present, chemical agents, especially agricultural antibiotics, are commonly used in the prevention and control of bacterial soft rot, causing the emergence of resistant pathogens and therefore increasing the difficulty of disease prevention and control. This study aims to provide a safer and more effective biocontrol method for soft rot disease caused by D. zeae. The spot-on-lawn assay was used to screen antagonistic bacteria, and three strains including SC3, SC11 and 3-10 revealed strong antagonistic effects and were identified as Pseudomonas fluorescens, P. parafulva and Bacillus velezensis, respectively, using multi-locus sequence analysis (MLSA) based on the sequences of 16S rRNA and other housekeeping genes. In vitro antimicrobial activity showed that two Pseudomonas strains SC3 and SC11 were only antagonistic to some pathogenic bacteria, while strain 3-10 had broad-spectrum antimicrobial activity on both pathogenic bacteria and fungi. Evaluation of control efficacy in greenhouse trials showed that they all restrained the occurrence and development of soft rot disease caused by D. zeae MS2 or EC1. Among them, strain SC3 had the most impressive biocontrol efficacy on alleviating the soft rot symptoms on both monocotyledonous and dicotyledonous hosts, and strain 3-10 additionally reduced the occurrence of banana wilt disease caused by Fusarium oxysporum f. sp. cubensis. This is the first report of P. fluorescens, P. parafulva and B. velezensis as potential bio-reagents on controlling soft rot disease caused by D. zeae.


Author(s):  
Tiejun Zhu

At the turn of 2019-2020, a new epidemic broke out in China. China has entered the critical stage of epidemic prevention and control. And The severe situation has led to the failure of normal opening of new semester in Chinese colleges and universities. In order to effectively guarantee the education, teaching and talent cultivation in colleges and universities, the Ministry of education of China has rapidly put forward the requirements of launching online teaching. Therefore, under the situation of Novel Coronavirus Pneumonia (Hereinafter referred to as 2019-nCoV) prevention and control, online teaching in Chinese colleges and universities is widely used and develops rapidly. However, the demand for online education has been released in a short time and on a large scale, and each online teaching platform has encountered unprecedented pressure and challenges. In this regard, based on the situation of 2019-nCoV prevention and control in China, this paper demonstrates how the Chinese government deploy online teaching in an all-round way with specific measures, how the Chinese colleges and universities implement massive online teaching quickly, how teachers and students adapt to online teaching quickly. At the same time, this paper carries out empirical analysis to show the process and effectiveness of online teaching in Chinese colleges and universities in the unprecedented state of 2019-nCoV prevention and control with specific examples. On this basis, it analyzes and summarizes the advantages and disadvantages, so as to facilitate the later improvement and provide reference.


2019 ◽  
Vol 118 ◽  
pp. 04033
Author(s):  
Yuming Tang ◽  
Hong Liang ◽  
Yi Zhao ◽  
Bingfeng Seng

Cyanobacteria are large single-cell prokaryotes that can undergo oxygen-producing photosynthesis. However, if the cyanobacteria are contaminated by nitrogen, phosphorus and other elements, cyanobacteria will cause the phenomenon of “water bloom” in the lake, which will seriously endanger the safety of humans, animals, fish and shrimps. To help lake management units to prevent and control the outbreak of cyanobacteria, this paper designed and developed a comprehensive management system for the prevention and control of cyanobacteria blooms and salvage treatment. The system consists of four subsystems: the operational reporting subsystem, the monitoring data management system, the algae environmental protection disposal process management system, and the real-time cyanobacteria monitoring system. The three-dimensional interaction between the WEB end and the mobile patrol handheld terminal makes the system more efficient and convenient. The neighborhood image is denoised by the neighborhood averaging method, and the K-means algorithm is used for clustering training, which makes the classification of the algae pictures taken. The realization of the system effectively prevented the large-scale outbreak of cyanobacteria, providing a new idea for monitoring and processing cyanobacteria blooms.


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