ABSTRACT
The management of a private Peruvian university along the period 2020-2021 is presented. Special attention has been paid on the qualitative angle in the sense that were described the main actions by which have had as central point the continuity of academic activities without the breaking of communications in the form top-down between the general manager and students. Essentially all actions have targeted to keep the quality of education in all the levels. The paper presents the general methodology that has consisted in the support of university to the universe of students in order that most of them continue in their program. Therefore, the management was not only the one applied to the university apparatus itself but also in to surpass the big obstacles such as the massive desertion of students in a critic epoch where Lima city has exhibited large peaks of infections as well as fatalities at the first and the second wave of pandemic at the first semester of 2021. Noteworthy actions have been taken by the general manager to conserve the desired harmony at the university even when communications have been done through the remote mode. The conclusion from the analysis of this paper is finally given. © 2022 ACM.
ABSTRACT
The changes of indoor environment and occupant behavior (OB) are two main causes for the gap between predicted and actual airborne infection risk. To improve the accuracy of COVID-19 airborne infection risk assessment, the environment (CO2 concentration) and OBs (occupant area per person (OA) and activity level (AL)) in three typical classrooms of a primary school in Tianjin, China was selected to conduct the on-site measurement. Based on the measured data, a modified Wells-Riley model was proposed to predict the infection risk, and a risk-controlled ventilation strategy was developed to calculate the ventilation demand. Results indicated that classrooms in the breaking time (B-T) showed a lower indoor CO2 concentration (C in), larger OA, and higher AL than in the teaching time (T-T). The variation tendency of the calculated infection risk increment in T-T was consistent with C in while in B-T was significantly affected by OA and AL, and the maximum fluctuation extent in B-T was two times of that in T-T. Moreover, to avoid the risk spreading in classrooms, a feasible solution of dynamic ventilation control based on the real-time infection risk was proposed, thus facilitating to provide a healthy and sustainable environment for students in classrooms. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
These past two years, COVID-19 has added to the industry's gender and ethnic underrepresentation issues. The pandemic's reallocation shock has caused more than 31 million Americans to rely on unemployment. A recent study estimates 32-42% of these layoffs will become permanent, which will be felt more acutely by minority communities. As the pandemic continues to sharpen inequalities in America's economy, nearly eight times the number of women left the workforce compared to men last year. These rates were higher for women of color. To broaden participation and fill a growing need for skilled workers in computing, it is important to consider innovative pathways that delve into untapped pools of talent for training and recruitment. It has been estimated that by 2030, approximately one-third to a half of employees may desire new occupations or may need to either reskill or upskill. Some niches within the computing fields, like emerging technologies (EmTech) (e.g., cloud computing, data science, cybersecurity, and artificial intelligence), are expected to grow job opportunities more quickly than others. The demands of these jobs can only be fulfilled by creating opportunities for one of the largest untapped Science, Technology, Engineering, and Mathematics (STEM) talent pools: adult women. We conducted a series of four virtual focus groups with 18 adult women of color in total, specifically Hispanic and Black women. These women are (re-)entering the computing field through emerging technology pathways. The goal of the focus group interviews was to identify the reasons for their career and/or educational breaks, barriers they faced and/or are currently facing in their studies and/or employment, and suggested strategies and actions to mitigate these barriers. In this paper, we present the details of the focus group findings summarized based on the qualitative study. The proposed mitigations voiced by the participants can be used as a baseline to build or increase the pipeline in the computing field by providing a suitable and flexible learning environment for returning and adult women. © American Society for Engineering Education, 2022.
ABSTRACT
As the COVID-19 disease spread rapidly many countries around the world have declared state of health emergency. Countries began to introduce restrictions and limitations, including closing boundaries and thus limiting the flow of goods and services, and at the same time destabilizing the supply chains or breaking them completely. The main objective of the study is to check the impact of the Covid-19 Pandemic and the related limitations and restrictions on the supply chain performance of enterprises in Poland. The article also aims to identify the likely development of individual departments of the company during the COVID-19 pandemic. The article stands out from other papers because the research sample and analysis consists of 212 entities and takes into account enterprises of all sizes: micro-enterprises, small enterprises, medium-sized enterprises and large enterprises. The results of the research show the diversified impact of the COVID-19 pandemic on the management of the supply chain, depending on the size of the examined entity. The results also identify the strength of the impact of the pandemic on different components of the enterprise, as well as which departments of the company are most affected by problems caused by the pandemic and those that have the greatest chance of growing / gaining value after the end of the COVID-19 pandemic. © 2022 ACM.
ABSTRACT
INTRODUCTION: While the virus's intermediate point of origin and spread to humans is unknown, it has been shown that it is capable of rapid human-to-human transmission. The virus was primarily transmitted from person to person by physical interaction. Coughing, sneezing, and laughing cause droplets. Fever, chills, cough, sore throat, breathing difficulties, myalgia or fatigue, nausea, vomiting, and diarrhoea are common signs of COVID-19 infection. Cardiovascular damage, respiratory failure, acute respiratory distress syndrome, and even death may occur in severe situations. AIM: Breaking the chain of transmission of COVID-19 by Social Distancing MATERIAL AND METHOD: A primary research study has been done using an online questionnaire created using Google form. An observation study design has been used. The respondents were sent a survey of three questions including consent forms to participants in survey, using mail ID's and social media platforms. The material required for the review was taken from the databases of PubMed, Web of science, the from the website of World Health Organization, International diabetes federation and the patients data of SMHRC and DMMC Wanadongari Nagpur. CONCLUSION: Social distancing, Isolation, awareness, to break the chain of COVID-19, as we see them, have been of great impact to prevent the rate of transmission and the risk of new infection, but we can't deny their mental health impact as well, as they bring with them fear, panic, uncertainty and challenges about the present and the future scenario. People are getting inactive, facing the fear of getting infected, worrying about the economic lose, getting uncertain about their future plans and many more. Social distancing not only prevents the breaking the chain of transmission of COVID-19. © The Electrochemical Society
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The Covid-19 pandemic brought momentous changes to higher education regarding how students attend classes and how faculty teach. While the effects of these changes will be evaluated and debated for some time, this past year has shown that technology can help build connections between students in the virtual classroom. This short paper will reflect on existing research regarding virtual classroom practices and build on that work by demonstrating how breakout rooms were used in two graduate engineering communication courses to facilitate collaboration and build relationships between students from diverse backgrounds and locations. © 2021 IEEE.
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Artificial intelligence is attracting people's interest, especially during this period of the coronavirus. For this reason, heuristic teaching will benefit from the superior availability of virtual innovations, to use online education. Which makes it possible to visualize instruction in virtual situations that are unimaginable in physical classrooms, for example, access to virtual research facilities, visualization of machines, mechanical factories and scenarios. Already curative. The enormous conceivable results of open hypothetical developments will make it possible to envision breaking the boundaries of formal education. In this research, an overview of artificial intelligence and what is the necessity of artificial intelligence and its features. There are also some examples and applications, including the broad categories of AI and its features. In this paper, I explain the challenges that developers face and are their downsides to these systems. At the end of this paper, the use of AI will state and include the conclusion. © 2021 IEEE.
ABSTRACT
Corona pandemic showed how artificial intelligence has become a part of our daily lives and is breaking into all fields at a high rate and in different ways. Relying on the conventional techniques to test patients such as RT -PCR has two major drawbacks;a long time to get results and a lack of test kits. Therefore, data mining with machine learning techniques has been suggested to investigate covid-19. In this work, chest x-ray image-based covid-19 detection approach is proposed. Three types of x-ray images Covid-19, Pneumonia, and Normal, are used in two frameworks: image visualization and image segmentation. First, the x-ray samples are visualized using histograms to analyze the pixel-value distributions. The visualization approach helps covid-19 specialists to discover the intensity level of infection by examining the corresponding histograms. Second, a segmentation approach is developed with a k-mean algorithm to provide extra image tuning for infected areas. Three different centroids are used to provide different tuning granularity levels. The suggested frameworks give a fast and reliable methodology to help physicians to decide whether there is a virus or not in the x-ray sample. This is done statistically by histograms and visually by monitoring the segmented infected areas. © 2021 IEEE.
ABSTRACT
COVID-19 is breaking out and spreading globally, posing a severe threat to public health and economies worldwide due to its highly transmissible and pathogenic nature. Early, accurate and rapid diagnosis of COVID-19 can effectively stop the spread of the COVID-19 virus. Automatic diagnostic models based on deep learning can detect COVID-19 quickly and accurately. This paper uses a three-dimensional Convolutional Neural Network (3D CNN) to build a COVID-19 diagnostic prediction model for COVID-19 detection. All 192 sets of chest Computed Tomography(CT) data collected are used for this study, including 96 sets of confirmed COVID-19 patients and 96 sets of CT scans of normal human lungs. 5-fold cross-validation is used to train and validate the model. 154 data sets are used to train the model, and 38 sets are used for testing. All experimental data are segmented using a pre-trained SP-V-Net to obtain 3D lung masks fed into 3D CNN for training and validation of the prediction model. In addition, to verify the accuracy of the model predictions and provide interpretability for medical diagnosis, we visualize the experimental results using Class Activation Maps(CAM) to localize the predicted disease regions. The results from several experiments show that the accuracy of our prediction model is 0.911, the Area Under Curve (AUC) 0.976, for no-COVID-19(Precision, 0.902, Recall 0.911, F1-Score 0.900), COVID-19 (Precision, 0.932, Recall 0.911, F1-Score 0.902). The experimental results show that our established diagnostic model can help physicians make a rapid and accurate diagnosis of COVID-19 in response to the spread of COVID-19. © 2021 IEEE.
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The COVID-19 pandemic makes restaurants implement new safety rules. However, because of consumers' and employees' resistance, employees may break these rules to improve the service experience. This paper examines how employees' prosocial safety-rule-breakings (PSRB) affect consumer satisfaction. We propose that PSRB has two competing effects on consumers' (including both requesters and bystanders) satisfaction via the mediating roles of service performance and perceived safety. We tested our proposed model in two experiments, adopting a 2 (Consumer role: Requesters vs. Bystanders) × 2 (PSRB level: Low vs. High) between-subject experimental design. Our findings suggest that PSRB has a strong negative relationship with bystanders' service performance rating. PSRB harms both requesters' and bystanders' perceived safety. PSRB reduces consumer satisfaction, and the relationship is stronger for bystanders (vs. requesters). This study demonstrates the importance for hospitality organizations to ensure safety rule compliance during and after the pandemic.
ABSTRACT
When the confirmed COVIDs cases were raised in Iraq in the middle of Feb. 2021, the Iraqi government performed a closure approach to constrain mobility movements, factory operations and keeping private social distance. In this research, the concentrations of air components (PM52.5, PM10, NO2, and O3), which represent herein the degree of air quality index (AQI), are recorded, drawn, and evaluated over the central (Baghdad the capital), northern (Kirkuk province), southern (Basra province) of Iraq before and during the closure. The duration experiment of this research is 6 months (from 1 Jan. 2021 to 30 Jun. 2021), which included four durations: Pre-closure, first closure (total and partial), second closure (total and partial), and third closure (partial). Besides, the total-closure and partial-closure impact on the quality of the atmosphere layer is evaluated and assessed over Iraq in terms of SENTINEL – 5P SATELLITE/TROPOMI and GIOVANNE – EARTH – DATA images. The results revealed that air pollutants were dropped during the closure time except at the end of the 3rd period of closure due to the lack of people commitment by breaking the closure strategy based on economic reasons. It was observed that the lockdown is one of the best solutions to defeat the Coronavirus pandemic and significantly improve the air quality index, although it has several disadvantages effects on the economic front of the country. Eventually, since people stay at their residence home, the concentration of air pollutants becomes low and the air quality index getting better. © 2022 ICE Publishing. All rights reserved.
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Pharmacy services are a paramount important pillar of health. People must keep social distance due to the COVID-19 pandemic, hence the availability of online services to give medicine is vital. Due to the quarantine measures implemented in and by various countries to prevent the virus's breaking out and online pharmacies have become an exceptionally popular way to obtain accurate medication. Currently, in Sri Lanka, there are a few mobile applications separately owned by each of the pharmacies to provide online pharmaceutical services for their customers. But all the medicines the customer needs might not be available in a single pharmacy. PharmaGo provides with its cooperation to the customers to get medicines of his necessity at a single pharmacy, as against avoiding him roaming from pharmacy to pharmacy. Similarly, pharmacy owners can read the prescription by using image processing mechanisms and doubtlessly identify the required medicines. In addition, the system analyzes previous sales records and provides predictions regarding the future demand for drugs to the pharmacy owners. PharmaGo includes a highly trained AI-powered medical chatbot to guide the customers throughout the process. PharmaGo provides a reliable platform for both pharmacy users and pharmacists to fulfill the unique needs of pharmacy services. © 2021 IEEE.
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As per researchers worldwide, the practice of social distancing and wearing masks may have to be continued till the end of 2022 or even after considering the deadly and unpredictable nature of the COVID-19 virus that has gripped our world. In spite of all the rules and regulations in place we still find people breaking the rules. Also, it is to be noted that many officials who are tasked with enforcing the rules have either been severely affected or have lost their lives. Our work focuses on creating a holonomic robot, that can detect violations to mask and social distancing rules and generate alerts. Our work uses OpenCV and CNN model for face mask detection and pre-trained Mobile-Net Single Shot Object Detection (SSD) model to detect people and check if social distancing is adhered to. © 2021 IEEE.
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During the COVID-19 pandemic situation, the Indonesian government has declared various restrictions on human daily activities to minimize physical contact between people and reduce the transmission of COVID-19. After a very long time, these restrictions may be felt like "eating a simalakama fruit"as not only does it cause a positive result by breaking the chain of virus transmission between humans, but the restriction may also decrease the financial stability and increase people's level of stress. Meanwhile, it is known that Borderline Personality Disorder (BPD) as well as other mental health disorders, may happen to people with high fragility to stress. The original purpose of the development of LINE chatbot discussed in this paper, named "Sovi Lau"which is an acronym that stands for "Sobat Virtual Anti Galau"or "Anti-Stress Virtual Friend"is mainly to make a chatbot that can act as a friend who is always able to talk with and to discuss with. People suffering from BPD can also use it whenever they need. The use of LINE Messenger and Program-O is found to be the simplest way to develop a chatbot that can be used by psychologists to provide a good communication for people suffering from BPD. © 2021 IEEE.
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The Covid-19 condition has prompted serious questions about the challenges facing the established two-centuries old canons of education in architecture and urbanism. This paper establishes an evolutionary account on how design education in architecture and urbanism has arrived at the pre-Covid-19 condition, explores current challenges, and, in the process of encountering the Covid-19 condition asks the question of what the scope of opportunities to meet these challenges is. A chronological analysis of design pedagogy is undertaken to instigate a debate on its future in a post-pandemic environment. The paper captures the salient characteristics of the legacy model which is inherited from historical schools, demonstrates the influence of, and resistance to, this model (1960s), identifies the qualities of various alternatives including 10 ground-breaking alternative pedagogies (1970s-1990s), highlights strengths of further alternative approaches including critical inquiry, the process-based and learning-by-making pedagogies (2000s) and the social construction-based pedagogies (2010s). Scrutinising the consequences of the Covid-19 condition and the associated “Transitional Emergency Model,” the analysis articulates the persisting challenges and examines current adaptations while outlining the scope of future opportunities for a future responsive pedagogy for architecture and urbanism in a post-pandemic world. © 2021 ICE Publishing. All rights reserved.