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The COVID-19 pandemic has not only reshaped our world but also redesigned our everyday lives. Since the pandemic broke out, there has been an audacious mushrooming of both disinformation and misinformation. While a layman might confuse disinformation and misinformation to mean the same, an informed eye can analyse that such is not the case. The former implies information that is false and deliberately created to harm a person, social group, organization, or country, the latter stands for false information not created with the intention of causing harm to anyone. Both forms of information, however, share a common and popular medium of dissemination, which is social media. In both cases, various popular social media platforms have been found aiding and abetting ignorant, irresponsible citizens spreading unverified news, and false information. In the absence of lack of regulation and restrictions, the two have snowballed into an Infodemic of never seen before proportions. This Infodemic has today engulfed the pandemic, proving to be a more lethal and long-term threat. The paper argues that the social media have driven, and fuelled, COVID-19 Infodemic we suffer today, has its genesis much before the breakout of the actual pandemic, and if left incontinent, shall outlast it as well. For ease of understanding the paper is divided into three main sections. The paper begins with a theoretical part in which the term 'Infodemic' is explained, and its genesis is traced back. This section explores the role that social media plays in spreading misinformation and disinformation. The second section analyses how countries like India are combating the Infodemic by enacting special provisions in their existing laws. The concluding part of the paper is advisory in nature. The research contends that the ongoing Infodemic is the result of a larger malaise affecting society, which is ignorance and irresponsibility. This moral and ethical malaise cannot be checked by laws alone, but by a larger, nationwide media literacy campaign. The only solution available to us is to cultivate mass media literacy, both for social media platforms and citizens who use them regularly, so that everyone involved in creating, consuming, and sharing information is held accountable.

An investigation was made to evaluate the environmental ergonomics factors that had an effect on the operative yielding of workers of manufacturing areas of the electronics industry in two cities in the Baja California State of the Mexican Republic, such as the cities of Mexicali and Tijuana, located in the northwest of Mexico. These two cities represented in this scientific study two type of regions: arid in Mexicali and marine in Tijuana, and with this was made a comparative analysis, including the principal factors of the environmental ergonomics such as climate parameters (relative humidity and temperature), noise and vibrations of industrial machinery, level of luminosity in indoors of the ten industrial plants of the industrial electronics, which were evaluated .Also was analyzed presence of bad odors and inorganic air pollutants (derived from sulfur, nitrogen and carbon) and organic pollutants as microorganisms, provided from the enormous vehicular traffic and large number of industries in both cities. The presence of air pollutants mentioned above, caused the generation of Acute Respiratory Infection (ARI) in workers of the manufacturing areas and with this the productivity and quality levels decreased, due to the absence of experienced workers, and need use inexpert people that was making errors and with this, defective products manufactured. This investigation was made from 2018 to 2020, where in 2020 was made with a strict regulation by the presence of the Covid 19 pandemic.

Covid-19 crisis has emphasized weaknesses of supply chains and pushed them to reinvent themselves and rethink the configurations adopted. The consideration of resilience in sustainable supply chain has lately played a vital role, to cope with disruptions for the business continuity. The main challenge of supply chains is to balance between achieving competitive advantage and acting sustainably. Through this paper, we review research contributions related to sustainability and resilience of supply chain. The aim to provide a holistic overview about the modeling approaches based on mathematical programming, used in the field of Sustainable Resilient Supply Chain and its applications. A primary search is set and a total of 66 papers has been analyzed to focus only the ones that include mixed programming models. Thus, 19 papers are selected, screened and studied meticulously, then categorized by modeling approach, sustainability and resilience aspects, supply chain structures and flow complexity. The resulted findings are particularly interesting for both practitioners and researchers to highlight gaps and areas for enhancement. Finally, some future research directions are suggested with issues emphasized.

Обоснование: Коагулопатия является одной из характеристик, наблюдаемых у пациентов в критическом состоянии с коронавирусной болезнью 2019 года (COVID-19). Антифосфолипидные антитела (аФЛ) способствуют развитию коагулопатии, хотя их роль при COVID-19 остается неясной.

Abstract: This study was conducted to find out how poverty affects the people at Espiritu Santo Parochial School, Inc. in the midst of the pandemic. Three research questions were formulated to guide the study. The population of the study consisted of all Grade 12 students. Through the process of systematic random sampling, a total of 30 students were selected to participate in the study. The major instrument used for collecting data was a 6-item online survey questionnaire. The collected data was analyzed through the use of simple percentages. It was discovered based on the analysis that most of the respondents are struggling financially, socially, and mentally during the pandemic. They struggled because of unemployment, safety protocols implemented by the government, and the incompetence of the Philippine government. Based on these findings, recommendations were made that the Philippine government should focus on developing a concrete plan to deal with the pandemic rather than avoiding their responsibilities and diverting attention to unimportant things, and that Filipinos should adhere to the government’s safety protocols for their own safety. URL: https://actonlineedu.org/ijaapr-v1-i2-november2022-id202209030/

The 2019 coronavirus disease (COVID-19) was declared by the World Health Organization as a pandemic on 11th March, 2020 which spread rapidly all over the world. COVID-19 disease has different clinical presentations, ranging from asymptomatic to severe symptoms. Laboratory findings are important in determining which therapeutic strategies to seek and to identify severe cases initially. In this study, we compared the results of C-reactive protein, D-dimer, blood electrolytes and mean corpuscular hemoglobin concentration between survivors and non-survivors of 22 Libyan patients with COVID-19 present in the intensive care unit at Maitika Isolation Center (Tripoli, Libya) in the period of January to June 2021. We could not detect any significant difference in C-reactive protein between survivors and non-survivors but a significant difference in D-dimer level was observed. Non-survivor COVID-19 patients have a higher level of D-dimer. Moreover, a statistical significant difference in chloride and sodium levels but not in potassium level were detected. A marked lower of mean corpuscular hemoglobin in non-survivor than survivor COVID-19 patients was shown. Thus, these parameters could act as biomarkers for COVID-19 patients.

In this study, it was aimed to determine the technology acceptance and usage level of pre-school teachers during the period of Covid-19 pandemic. In the study, descriptive survey and causal-comparative research models were used. The participants of the research were 264 pre-school teachers, work at preschool and kindergarten in the state and private schools in Çanakkale. In the research, it was concluded that the technology acceptance and usage levels of pre-school teachers were high. It was concluded that the technology acceptance and usage levels of pre-school teachers have not differentiated according to the age, professional seniority, type of institution (state / private) and the type of the school (pre-school / kindergarten). It was determined that, while the educational levels of pre-school teachers were increased, the technology acceptance and usage levels were increased. Also, during the Covid 19 pandemic, it was found that technology acceptance and usage levels of pre-school teachers who are very willing to use technology, see themselves very competent, use technology a lot to support online live lessons, participate in in-service trainings a lot, and prefer to teach by distance education in the future were higher.

The pandemic Covid-19 today has affected the whole world. India did not stand exception to it by standing in world-Covid list in top three most affected nations. Covid-19 has brought governments and their policies under sever scrutiny and criticism in the whole world. Indian government is also trying to deal with this pandemic but given a huge population size, uneven resources management by different states and bad condition of health system and economy has certainly deepened the crisis. The issues of social safety, reverse migration and other such factors have further grimed the situation. Indian migrant workers during the COVID-19 pandemic have faced multiple hardships. With factories and workplaces shut down due to the lockdown imposed in the country, millions of migrant workers had to deal with the loss of income, food shortages and uncertainty about their future. During the lockdown period, thousands of migrants started walking back home, with no means of transport. In response, the Central and State Governments took various measures to help them, and later arranged of transportation. After five months of Covid-19 in India, Indian government is still struggling hard to cope up with health and economy. This paper is an attempt to understand the impact of reverse migrant crisis during Covid-19 in India. The current flow of reverse migration in India, which is from urban to rural, however, falls into none of the above categories describing the usual patterns in the movements from rural to urban centers.

The Covid 19 pandemic ensured that all nations and communities locked themselves and social-distancing became the buzzword. After an initial spell of a stringent lockdown, the Indian airspace opened to traffic – albeit with severe restrictions in place. Consumers of the domestic air travel in India, earlier, were a heterogenic and a majorly hedonistic segment and enjoyed the plethora of facilities offered at the terminals. Now, however, the consumers are majorly utilitarian and more focussed on health and safety measures. This behaviour is glimpsed in this research, which can be a guidance to Consumer Studies in similar Black Swan events.

The 2022 Music City Bowl is a college football bowl game that is scheduled to be played on December 31, 2022, at Nissan Stadium in Nashville, Tennessee. ✅✅Watch Free 2022 Music City Bowl Live Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwis/zdhPaperRanking) library4. The washers dataset features 70 defective parts. The gears and screws datasets feature 35 defective, 35 intact and several hundred unannotated parts. Some defects, such as notches and holes, are visible in most images (illuminations) with intensity and texture variations among them, while others, such as scratches, are only visible in a few.fghgj We split the datasets into train and test sets. The train sets contain 32 samples, and the test set 38 samples. Each sample comprises 108 images (each captured under a different illumination angle), an automatically extracted foreground segmentation mask, and a hand-labeled defect segmentation mask.fghgfj This dataset is challenging mainly because: each raw sample consists of 108 gray-scale images of resolution 512×512 and therefore takes 27MB of space; the metallic surfaces produce many specular reflections that sometimes saturate the camera sensors; the annotations are not very precise because the exact extent of defect contours is always subjective; the defects are very sparse also in the spatial dimensions: they cover only about 0.2% of the total image area in gears, 0.8% in screws, and 1.4% in washers; this creates an unbalanced dataset with a highly skewed class representation. gfhj The dataset is organized as follows: each sample resides in the Test, Train, or Unannotated directory; each sample has its own directory which contains the individual images, the foreground, and defect segmentation masks; each image is stored in 8-bit greyscale png format and has a resolution of 512 x 512 pixels; Image file names are formatted using three string fields separated with the underscore character: prefix_sampleNr_illuminationNr.png, where the prefix is e.g. washer, the sampleNr might be a three-digit number 001, and the illuminationNr is formed of 3 digits, first corresponding to the elevation index (1 - highest angle, 9 - lowest angle), and the additional two corresponding to the azimuth index (01-12). Each dataset contains light_vectors.csv, which contains the illumination angles (in lexicographic order of the illuminationNr), and light_intensities.csv that contains the numbers corresponding to the light intensity on the scale from 0 to 127. Please, be aware, that the azimuth angles were not calibrated and might be a few degrees misaligned.fdhfgj These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 500,314 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:sdgfdfhfggh Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwifss/PaperRanking) library4.sddfghfggd Influence_alt: Citation-based measure reflecting the total impact of an article. This is the Citation Count of each article, calculated based on the citation network between the articles contained in the BIP4COVID19 dataset.sddggf safs Popularity: Citation-based measure reflecting the current impact of an article. This is based on the AttRank5 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). AttRank alleviates this problem incorporating an attention-based mechanism, akin to a time-restricted version of preferential attachment, to explicitly capture a researcher's preference to read papers which received a lot of attention recently. This is why it is more suitable to capture the current "hype" of an article.asdfujsgdg Colour Science for Python Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. sdg It is freely available under the New BSD License terms.uiuol Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States Draft Release Notes The draft release notes of the develop branch are available at this url.uiu Sponsors We are grateful 💖 for the support of our sponsors. If you'd like to join them, please consider becoming a sponsor on OpenCollective.uiu Features Colour features a rich dataset and collection of objects, please see the features in the documentation for more information.iu User Guid Installation Colour and its primary dependencies can be easily installed from the Python Package Index by issuing this command in a shell:oluip $ pip install --user colour-science The detailed installation procedure for the secondary dependencies is described in the Installation Guide. Colour is also available for Anaconda from Continuum Analytics via conda-forge:oiup $ conda install -c conda-forge colour-science Tutorial The static tutorial provides an introduction to Colour. An interactive version is available via Google Colab.oui How-To The Google Colab How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases. Contributing If you would like to contribute to Colour, please refer to the following Contributing guide.oi Colour by Colour Developers Copyright 2013 Colour Developers – colour-developers@colour-science.org This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause https://github.com/colour-science/colourolip sf Popularity alternative: An alternative citation-based measure reflecting the current impact of an article (this was the basic popularity measured provided by BIP4COVID19 until version 26). This is based on the RAM6 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). RAM alleviates this problem using an approach known as "time-awareness". This is why it is more suitable to capture the current "hype" of an article. This measure was calculated using the PaperRanking (https://github.com/diwis/PaperRanking) library4.sfbsdf Social Media Attention: The number of tweets related to this article. Relevant data were collected from the COVID-19-TweetIDs dataset. In this version, tweets between 23/6/22-29/6/22 have been considered from the previous dataset.ftgujyol We provide five CSV files, all containing the same information, however each having its entries ordered by a different impact measure. All CSV files are tab separated and have the same columns (PubMed_id, PdfMC_id, DOI, influence_score, popularity_alt_score, popularity score, influence_alt score, tweets count).yjytik Rich offline experience, periodic background sync, push notification functionality, network requests control, improved performance via requests caching are only a few of the functionalities provided by the Service Worker (SW ) API. This new technology, supported by all major browsers, can significantly improve users’ experience by providing the publisher with the technical foundations that would normally require a native application. Albeit the capabilities of this new technique and its important role in the ecosystem of Progressive Web Apps (PWAs), it is still unclear what is their actual purpose on the web, and how publishers leverage the provided functionality in their web applications. In this study, we shed light in the real world deployment of SWs, by conducting the first large scale analysis of the prevalence of SWs in the wild.huiuop We see that SWs are becoming more and more popular, with the adoption increased by 26% only within the last 5 months. Surprisingly, besides their fruitful capabilities, we see that SWs are being mostly used for In-Page Push Advertising, in 65.08% of the SWs that connect with 3rd parties. We highlight that this is a relatively new way for advertisers to bypass ad-blockers and render ads on the user’s displays natively.