Global Economic Crisis Due to Novel Coronavirus (COVID-19): Challenges and Overcome for Bangladesh Economy

A genre of virus family is Coronavirus (COVID-19). In the contemporary world, there are multi-dimensional effects of disastrous COVID-19 pandemic. It may include social, economic and non-economic, cultural, physical (i.e. mortality & morbidity), mental effects and so on. Nonetheless, using mostly secondary data sources, this article as an immediate and quick response endeavor to analyze the unanticipated and awful economic impact only of Novel Coronavirus (COVID-19) -a pandemic around the globe in two major broad segments. In the first segment, the global economic adverse effects are meant to be covered thoroughly and in the later segment, the upshot Coronavirus outbreak in Bangladesh economy is explained with the probable shift of its linkage with other development partners. The last but not the least, some policy prescriptions made by both international and national authorities are critically stated on theoretical economic background. Finally, some plausible and relevant recommendations are made to overcome this war-like situation using limited available studies on the economic effects of this deadly virus. As this article is attempted in the time when the whole impacts are undergoing, only partial scenarios of effects can be pictured from this writing.  In conclusion, it is said that integrated and synchronized policy actions both internal and external stakeholders are the key factors to resist this unparalleled crisis. Keywords: Novel Coronavirus, Quarantine, Economic Shock, World Economy, Bangladesh Economy, Economic Recovery. DOI: 10.7176/JESD/11-10-10 Publication date:May 31st 202

Review of intelligence for additive and subtractive manufacturing: current status and future prospects

Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless possibilities in various sectors covering personal, industrial, medical, aviation and even extra-terrestrial applications. Although significant research thrust is prevalent on this topic, a detailed review covering the impact, status, and prospects of artificial intelligence (AI) in the manufacturing sector has been ignored in the literature. Therefore, this review provides comprehensive information on smart mechanisms and systems emphasizing additive, subtractive and/or hybrid manufacturing processes in a collaborative, predictive, decisive, and intelligent environment. Relevant electronic databases were searched, and 248 articles were selected for qualitative synthesis. Our review suggests that significant improvements are required in connectivity, data sensing, and collection to enhance both subtractive and additive technologies, though the pervasive use of AI by machines and software helps to automate processes. An intelligent system is highly recommended in both conventional and non-conventional subtractive manufacturing (SM) methods to monitor and inspect the workpiece conditions for defect detection and to control the machining strategies in response to instantaneous output. Similarly, AM product quality can be improved through the online monitoring of melt pool and defect formation using suitable sensing devices followed by process control using machine learning (ML) algorithms. Challenges in implementing intelligent additive and subtractive manufacturing systems are also discussed in the article. The challenges comprise difficulty in self-optimizing CNC systems considering real-time material property and tool condition, defect detections by in-situ AM process monitoring, issues of overfitting and underfitting data in ML models and expensive and complicated set-ups in hybrid manufacturing processes

Nexus between human resource management practice and employees’ attitudes and behavior

This study aims to evaluate the impact of human resource management practices (HRMPs) on employee attitudes and behavior (EAB). The population of this study was all employees of cement manufacturing firms (CMC) in the southern region of Bangladesh. Data was gathered using structured questionnaires following convenient sampling technique. The data was analyzed using SPSS-23 statistical package program. A robust and significant linear association between HRMPs and EAB was found. Further, HRM practices, including compensation & rewards (CR) and motivation (MV) were discovered to be dominant predictors of EAB. According to the study, variations in EAB of 77.10% were caused by independent predictors such as recruitment and selection (RS), training and development (TD), performance appraisals (PA), compensation and rewards (CR), motivation (MV), and maintenance (MT) in CMC in the southern part of Bangladesh. Nevertheless, it is apparent from the study's findings that manufacturing organizations that have implemented progressive HRM practices in a systematic and integrated manner are having an enormous influence on EAB. This study only focused on one industry and one type of organizational structure. According to the study, findings should not be extensively generalized. Future research should incorporate other aspects, such as organizational learning and organizational capacity, to construct a new model of HRM practices

Trimethylamine functionalized radiation-induced grafted polyamide 6 fibers for p-nitrophenol adsorption

The method of pre-irradiation grafting was used with the aid of electron beam (EB) accelerator to accomplish the grafting of polyamide 6 fibers (PA6) with glycidyl methacrylate (GMA). The extent to which GMA was grafted on PA6 was found to be markedly influenced by the absorbed dose of radiation and the reaction time of grafting. Trimethylamine (TMA) was afterwards employed for the functionalization of GMA-grafted fibers (PA6-g-GMA). A range of analyses (e.g., FTIR, FESEM, XRD, BET, and pHpzc) were carried out to determine the physiochemical and morphological properties of the fibrous adsorbent. p-Nitrophenol (PNP) adsorption from aqueous solution was conducted with the resulting TMA-(PA6-g-GMA) adsorbent. The adsorption behaviour of PNP on the fibrous adsorbent was clarified by investigating the adsorption kinetics and isotherm. According to the results, the adsorption of PNP on TMA-(PA6-g-GMA) reflected the pseudo-second order model. Meanwhile, the isotherm analysis revealed that the best description of the equilibrium data was provided by Redlich–Peterson model, followed closely by Langmuir isotherm model. The achieved adsorption capacity was highest at 176.036 mg/g. Moreover, the adsorption was indicated by the thermodynamic analysis to be spontaneous and exothermic. Regeneration and recycling of the adsorbent was possible for a minimum of five cycles with no reduction in adsorption capacity. It was concluded that the fibrous adsorbent could have applications for the removal of PNP at industrial pilot scale