COVID-19, the global threat to humanity, shares etiological cofactors with multiple diseases including Alzheimer’s disease (AD). Understanding the common links between COVID-19 and AD would harness strategizing therapeutic approaches against both. Considering the urgency of formulating COVID-19 medication, its AD association and manifestations have been reviewed here, putting emphasis on memory and learning disruption. COVID-19 and AD share common links with respect to angiotensin-converting enzyme 2 (ACE2) receptors and pro-inflammatory markers such as interleukin-1 (IL-1), IL-6, cytoskeleton-associated protein 4 (CKAP4), galectin-9 (GAL-9 or Gal-9), and APOE4 allele. Common etiological factors and common manifestations described in this review would aid in developing therapeutic strategies for both COVID-19 and AD and thus impact on eradicating the ongoing global threat. Thus, people suffering from COVID-19 or who have come round of it as well as people at risk of developing AD or already suffering from AD, would be benefitted.

Data availabilitySummary statistics generated by COVID-19 Host Genetics Initiative are available online (https://www.covid19hg.org/results/r6/). The analyses described here use the freeze 6 data. The COVID-19 Host Genetics Initiative continues to regularly release new data freezes. Summary statistics for samples from individuals of non-European ancestry are not currently available owing to the small individual sample sizes of these groups, but the results for 23 loci lead variants are reported in Supplementary Table 3. Individual-level data can be requested directly from the authors of the contributing studies, listed in Supplementary Table 1.

Purpose – The purpose of this study is to pursue a comprehensive review of the progress of open innovation literature. Design/methodology/approach – Using a wide range of literature sources, altogether 293 articles relevant to the study’s objective were identified for statistical analysis. Moreover, contributory articles published from 2003 to June 2015 were included for content analysis. Findings – The study contributes in two ways. First, based on content analysis of the selected contributory articles, the authors shed light on the overall development of the open innovation literature and highlight the findings of significant studies. Second, the authors provide a detailed picture of the progress of open innovation literature by analyzing the comprehensive set of articles. Total yearly publication activity was calculated, and publication activity in different disciplines was addressed. The study unveils most influential articles, authors and journals that have discussed open innovation. The geographical locations of influential articles and authors are revealed. Additionally, frequently used keywords are listed. Originality/value – The authors present a new framework of open innovation research, highlight the progress of existing research and suggest avenues for future research.

Green concern is making a profound impact on building green competitive advantage (GCA) across the globe. Apparel sector of Bangladesh is at crossroads regarding sustainability of firms. Green initiatives are thus required for ensuring the survival of apparel sector. The current study attempts to examine the interplay among environmental corporate social responsibility (ECSR) dimensions, green corporate image (GCI), and green competitive advantage of firms. To address the research topic, structural equation modeling approach has been adopted. Based on prior research findings, five hypotheses have been devised and finally evaluated by collecting data from 53 apparel firms enlisted with Dhaka Stock Exchange, Bangladesh. The study findings reveal that the ECSR dimensions have critical role to play over building GCI and GCA at the firm level. The study attempted to integrate ECSR, GCI, and GCA and contributes to the holistic understanding of the green anxieties of the business world. Understanding the critical role of ECSR, this study calls for proactive managerial actions regarding organizational sustainability.

This paper estimates a quadratic stochastic frontier production function to examine the determinants of technical efficiency in rice farming in Bangladesh using the computer program FRONTIER 4.1. Primary data has been collected using multi-stage random sampling technique from twelve villages in north-central and north-western regions in Bangladesh. Rice cultivation displayed much variability in technical efficiency ranging from 0.16 to 0.94 with mean technical efficiency of 0.83 which suggested substantial gains in output with available resources and existing technologies. The analysis of the determinants of technical efficiency revealed that the age and education of the household heads, availability of off-farm incomes, land fragmentation, access to microfinance, extension visits, and regional variation were the major factors that caused efficiency differentials among the farm households studied. Hence, the study proposes strategies such as providing better extension services and farmer training programs, ensuring access to agricultural microfinance, reducing land fragmentation and raising educational level of the farmers to enhance technical efficiency.

Abstract-Orthogonal frequency-division multiplexing (OFDM) combines the advantages of high performance and relatively low implementation complexity. However, for reliable coherent detection of the input signal, the OFDM receiver needs accurate channel information. When the channel exhibits fast time variation as it is the case with several recent OFDM-based mobile broadband wireless standards (e.g., WiMAX, LTE, DVB-H), channel estimation at the receiver becomes quite challenging for two main reasons: 1) the receiver needs to perform this estimation more frequently and 2) channel time-variations introduce intercarrier interference among the OFDM subcarriers which can degrade the performance of conventional channel estimation algorithms significantly. In this paper, we propose a new pilot-aided algorithm for the estimation of fast time-varying channels in OFDM transmission. Unlike many existing OFDM channel estimation algorithms in the literature, we propose to perform channel estimation in the frequency domain, to exploit the structure of the channel response (such as frequency and time correlations and bandedness), optimize the pilot group size and perform most of the computations offline resulting in high performance at substantial complexity reductions.

Determining the best way to persuade consumers to consume more healthy foods is challenging. In Bangladesh, however, daily newspapers consistently show that various hazardous chemicals (e.g. calcium carbide, sodium cyclamate, cyanide and formalin, etc.) are mixed with or added to foods and foodstuffs. These chemicals are very dangerous to humans. This present study examines the reasons behind the use of hazardous chemicals in foods as well as the extent to which food producers/sellers use such chemicals. In addition, this study assesses consumer perceptions of and attitudes towards these contaminated food items and explores how adulterated foods and foodstuffs affect consumer health. The empirical data were collected from 110 consumers, 25 sellers or producers, seven doctors and seven pharmacists in Dhaka, the capital of Bangladesh. This study shows that nearly every consumer (93.7%) is aware that various foods and foodstuffs contain hazardous chemicals, and that 95.5% of consumers are aware that these adulterated foods and foodstuffs are harmful to their health. This paper explores the myriad reasons why consumers nevertheless feel compelled to consume such chemically treated foods.

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