The assessment of factors affected by the Covid-19 pandemic in the housing and settlement projects

The government enforces restrictive policies such as social distancing and physical distancing so that it has an impact on the implementation of construction in the field. Various public activities were also disrupted, including construction project implementation activities. This study is aimed at analyzing more of the factors affected by the Covid-19 pandemic in the implementation of construction projects. This study focused on housing and settlement projects in Banda Aceh City in 2020. The data collection process was carried out using a questionnaire instrument distributed to 28 respondents who were directly involved in the project activities. The questionnaire was designed to consist of 6 factors and 20 indicators. The analysis process applies the Principal Component Analysis (PCA) method to find the most influential indicators and factors. The results of this study indicate that the implementation of housing and settlement projects is directly affected by the Covid-19 pandemic. The most dominant influence is found in the factor of reducing labor in the implementation in the field;increased costs due to distance restrictions;sudden fluctuations in material prices;disruption in the supply of materials;the existence of an addendum to work items;suspension of project contracts;contract control and supervision activities are carried out online to limit decision making;increased implementation costs due to additional PPE costs;and the mobilization of labor from outside the region is hampered. © 2023 Author(s).

Impact of Job Crafting on Employee Performance While Working-From-Home

The current study is focused on Job crafting is a phenomenon that is spread widely all across the globe in different occupations including childcare educators, special education teachers and political advocacy employees. The job crafting process provides the employees with a major role of redesigning their jobs in such a way within certain limits that they can work satisfactorily while happily getting engaged in their jobsx. Job crafting is always done by the employees to feel comfortable in the environment and pays more attention to their job. Job crafting within certain limits can be done in three different ways. The Covid-19 epidemic has affected countries throughout the world, exposing hundreds of millions of people and claiming many lives. Governments in several nations have implemented lockdown measures, one of which is a Working from Home (WFH) policy, in which employees are not required to report to work every day. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

The Risk Occurrence Index to the Operational of Construction Consultant during Pandemic Covid-19

The Covid-19 pandemic which has lasted for almost two years has limited public activities in various sectors, including activities in the construction project. Construction consultants as part of the service providers in this field are also affected. This paper aims to analyze the intensity of construction consultant operational risks during the Covid-19 pandemic. The study focused on consulting service providers in Banda Aceh City who were active in carrying out design and supervision services from 2020 to early 2021. The data were obtained from the perceptions of 53 participants who participated in answering questionnaires through the online application Google Form. The questionnaire contains questions related to the potential risk variables that may occur in three consultant operational factors, namely time, cost, and performance factors. The assessment of potential risk is stated in the risk occurrence index. The results of the analysis of all these perceptions indicate that the aspects of performance and cost are risk factors with "very high" occurrence intensity encountered in the consultant's operational activities and then followed by the time factor which appears with "high" intensity. In all study factors, risk events tend to be more dominant in the variables associated with design activities. © 2023 American Institute of Physics Inc.. All rights reserved.

Natural Products as Anti-COVID-19 Agents: An In Silico Study

Background: The coronavirus disease 2019 (COVID-19) is a life-threatening viral infection caused by a positive-strand RNA virus belonging to the Coronaviridae family called severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV-2). This virus has infected millions of peo-ples and caused hundreds of thousands of deaths around the world. Unfortunately, to date, there is no specific cure for SARS-CoV-2 infection, although researchers are working tirelessly to come up with a drug against this virus. Recently, the main viral protease has been discovered and is regarded as an ap-propriate target for antiviral agents in the search for the treatment of SARS-CoV-2 infection due to its role in polyproteins processing coronavirus replication. Material(s) and Method(s): This investigation (an in silico study) explores the effectiveness of 16 natural compounds from a literature survey against the protease of SARS-CoV-2 in an attempt to identify a promising antiviral agent through a molecular docking study. Result(s): Among the 16 compounds studied, apigenin, alpha-hederin, and asiatic acid exhibited significant docking performance and interacted with several amino acid residues of the main protease of SARS-CoV-2. Conclusion(s): In summary, apigenin, alpha-hederin, and asiatic acid protease inhibitors may be effective potential antiviral agents against the main viral protease (Mpro) to combat SARS-CoV-2.Copyright © 2021 Bentham Science Publishers.

Predicting the Level of Anxiety of Coronavirus Pandemic among College Students Using Different Classifier Algorithms

The Novel Coronavirus ravaged the entire world, and there was no guarantee that it would ever be wiped out. The purpose of this study is to clarify the factors causing anxiety. Anxiety may be brought on by a number of associated circumstances, such as covid.To create the model with the best fit for predicting anxiety and to prioritize the variables that affect anxiety. An online poll was used to gather data, and it asked about global issues, Covid-19 stresses, and (GAD-7). Anxiety levels are rated on this scale from none to severe. The impact of anxiety on these people's quality of life is significant. Since the challenges of college life may act as a trigger for these disorders, college students are particularly sensitive to anxiety. This is especially concerning during the Covid-19 pandemic because new information indicates that students of college age are experiencing increased anxiety. It could have an impact on their academic performance Here, we use classifier techniques to implement anxiety prediction. a series of survey questions, from which we collect information to ascertain whether or not a person would practice anxiety. Finally, we demonstrated the cure for individuals who are concerned and provided advice. © 2022 IEEE.

Peer Teaching Method to Support the Students' Learning Motivation In Arabic Speaking Skills During The Covid-19 Pandemic

The current covid-19 pandemic phenomenon has a major impact on the learning process at various universities in Indonesia. The adoption of the online lecture system caused by the pandemic has become a problem for some lecturers who are still unfamiliar with technological development. This situation is also experienced by a lecturer who teaches the Speaking Skill Course at a Higher Education in Central Kalimantan Province as a consequence of lacking motivation for the students to attend Speaking Course. To overcome this demotivation, the Arabic Students' Association at the tertiary education institution organizes Speaking learning using the "Peer Teaching Method. Therefore, this study aims to explore the speaking skill learning process. This study uses a qualitative approach with a case study type and uses two data collection techniques, namely observation and interviews. This study produced two findings. First, there were several steps used by the organizational coordinator in implementing Speaking Skill learning using the peer teaching method, namely (1) selecting prospective tutors based on their scientific capacity and experience in the field of Arabic language learning, (2) Active learning process speaking skill organized by tutors using various interactive games such as nurakkizu, word chain, and ice breaking. Second, there are several motivational factors for students in participating in speaking skill learning using the peer teaching method, namely (1) The convenience of interaction between tutors and students is caused by the age distance that is not too far, (2) Peer tutor creativity in organizing innovative Speaking Skill learning, and (3) flexibility in communication time between tutors and students.

Exploring NFκB pathway as a potent strategy to mitigate COVID-19 severe morbidity and mortality.

The pandemic of coronavirus disease 2019 (COVID-19), for which there does not appear to be an approved cure, the primary treatment options consist of non-pharmacological preventive measures and supportive treatment that are aimed at halting the progression of the disease. Nuclear factor kappa B (NFkB) presents a promising therapeutic opportunity to mitigate COVID-19-induced cytokine storm and reduce the risk of severe morbidity and mortality resulting from the disease. However, the effective clinical application of NFkB modulators in COVID-19 is hampered by a number of factors that must be taken into consideration. This paper therefore explored the modulation of the NFB pathway as a potential strategy to mitigate the severe morbidity and mortality caused by COVID-19. The paper also discusses the factors that form the barrier, and it offers potential solutions to the various limitations that may impede the clinical use of NFkB modulators against COVID-19. This paper revealed and identified three key potential solutions for the future clinical use of NFkB modulators against COVID-19. These solutions are pulmonary tissue-specific NFkB blockade, agents that target common regulatory proteins of both canonical and non-canonical NFkB pathways, and monitoring clinical indicators of hyperinflammation and cytokine storm in COVID-19 prior to using NFkB modulators.

Artificial Intelligence: Chatbot—The New Generation of Communication

Marketing tactics have changed in response to the growth of technology and its quick conversion in order to accomplish consumers’ requirements. Because of the rapid growth of artificial intelligence, companies and organizations are increasingly utilizing AI-guided chatbots to improve service on their portals (AI). The decline in face-to-face services as a result of the COVID-19 epidemic has hastened this tendency. Because of recent developments in AI and machine learning, as well as broad usage of the internet and messaging platforms, businesses are focusing on chatbots. Chatbots are computer programs powered by artificial intelligence that can communicate with humans and engage in active dialogue. Because they are aware of human capabilities, they are sometimes known as virtual assistants. Chatbot technology is essential for famous product lines to prosper in the coming years. The paper’s major goal is to identify chatbots as an AI technology and to find the link between the two terms to determine how they contribute to various industries and marketing tactics, to create a better understanding to be used as a means of customer communication. The paper’s findings demonstrate that chatbot technology could be a beneficial technology that enables consumer to communicate, but firms should pay close attention to their customers' perspectives and design chatbots more efficiently by incorporating AI upon their needs and goals. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Exacerbation of an undiagnosed pre-existing lupus nephritis following an inactivated covid-19 vaccination

Implication for health policy/practice/research/medical education: There are reports of various renal complications following the administration of different types of COVID-19 vaccines. Further studies are required to investigate the associations and underlying pathogeneses. Please cite this paper as: Hassanzadeh S, Mubarak M, Akhavan Sepahi M, Nasri H. Exacerbation of an undiagnosed pre-existing lupus nephritis following an inactivated COVID-19 vaccination. J Nephropharmacol. 2022;11(1):e02. DOI: 10.34172/npj.2022.02. © 2022 The Author(s);Published by Society of Diabetic Nephropathy Prevention.

Stochastic vs. Deterministic Modeling for the Spread of COVID-19 in Small Networks

This paper proposes and analyzes a stochastic Susceptible-Exposed-Infected-Removed (SEIR) spreading model on networks. Imagine a nursing home housing 28 seniors and 7 staff workers, in which one of the staff has tested positive for COVID-19. Unfortunately, the results of this test are 3 days late and the infected person had not been quarantining while waiting for their test results. What is now the individual risk to the different people living in this nursing home? If the home has access to two rapid COVID-19 viral tests, who should they be given to and why? In order to answer questions like this, we need to study stochastic models rather than deterministic ones. Unlike the vast majority of works that analyze various deterministic models, stochastic models are required when analyzing the risk of COVID-19 to individual people rather than tracking aggregate numbers in a given region. More specifically, this paper compares the results provided by analyzing stochastic and deterministic models and investigating when it is suitable to use the different models. In particular, we show why it is not suitable to use deterministic models when analyzing the spread in small communities and how these questions can be better addressed using stochastic ones. Finally, we show the added complications that arise due to the relatively long incubation period of COVID-19, and how it can be addressed. A simulated case study of the spread of COVID-19 in a 35-person nursing home is used to help illustrate our results.

Exploring the Role of Artificial Intelligence in Healthcare Management and the Challenge of Coronavirus Pandemic

This article focuses on the role of artificial intelligence in healthcare management and in particular, the support it can provide to efficiently improve medical imaging and radiology procedures. This highlights the utilization of artificial intelligence in healthcare to help solving problems and making best decisions for private and public health by reducing human errors and discovering diseases in early stages. Furthermore, this study uses artificial intelligence in the radiology department to help radiologists better diagnose diseases and increase efficiency using reliable database generated by such technology. This advanced technology is undoubtedly playing a role in dealing with Coronavirus pandemic, a technology that can contribute in many health facilities including medical imaging. A survey was used to reach to findings targeting a sample of medical students and staff with medical backgrounds. Three main factors that were found important in the study that need to be addressed are awareness, technology, and prediction of future crisis. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

COVID-19 and renal involvement;evolving role of thromboinflammation, vascular and glomerular disease in the pathogenesis

Coronavirus disease 2019 (COVID-19), the currently prevailing pandemic that has besieged the whole world, is caused by a novel coronavirus, named as, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Initially, there was a focus on respiratory disease, which was and is the most predominant presentation. However, with increasing spread of the infection and consequent increasing knowledge and experience about the disease, it has become apparent that the virus has wide-ranging effects on other organs and systems, including heart, blood, kidney and gastrointestinal tract. A variety of mechanisms are involved in viral damage of these organs. Blood vessels, particularly the microvasculature, and blood clotting systems are also frequently targeted by the virus, especially in severe cases. This review narrates the available evidence on the mechanisms underlying hypercoagulability and thrombotic tendency in COVID-19 disease. © 2021 The Author(s);Published by Society of Diabetic Nephropathy Prevention.

COVID-19 and Biomedical Publishing: Challenges and Prospects

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Saudi Lymphoma Group's Clinical Practice Guidelines for Diagnosis, Management and Follow-up of Patients with Various Types of Lymphoma during the Coronavirus Disease 2019 Pandemic.

The Saudi Lymphoma Group had previously published recommendations on the management of the major subtypes of lymphoma. However, the effect the currently ongoing coronavirus disease 2019 (COVID-19) pandemic has on the management of patients with lymphoma has been paramount. Therefore, the Saudi Lymphoma Group has decided to provide clinical practice guidelines for the diagnosis, management and follow-up of patients with various types of lymphoma during the COVID-19 pandemic.

Safety Guidelines for Sterility of Face Shields During COVID 19 Pandemic

Face shields are personal protective equipment devices that are to be used by many health care workers during COVID 19 pandemic for protection of the facial area and associated mucous membranes (eyes, nose, mouth) from droplet spread of infection. Face shields are generally not used alone, but in conjunction with other protective equipment like cap, mask, goggle, and are therefore classified as adjunctive personal protective equipment. In the wake of scarcity of face shields during the COVID 19 Pandemic, consideration of innovating newer methods of manufacturing must be considered to overcome the present day scarcity without jeopardising the safety of front line Heath care workers. All initial fast innovations comes with advantages and disadvantages, hence we thought of putting down simple guidelines for new emerged face shield use.

Simple Economical Solution for Personal Protection Equipment (Face Mask/Shield) for Health Care Staff During COVID 19

Coronavirus disease 2019 is an infectious disease caused by severe acute respiratory syndrome coronavirus 2. It has taken a toll of lots of lives since its outbreak. Infection prevention at present is an appropriate control measure in addition to other measure like hand hygiene and personal protective equipment (PPE). In our country with a large population, supplying PPE to all the health care workers of all hospitals definitely is an economic burden. Hence we have come up with an economic and simple solution for face mask.

Covid-19 nephropathy;an emerging condition caused by novel coronavirus infection

Implication for health policy/practice/research/medical education: COVID-19, a pandemic caused by a novel coronavirus, has become a major public health problem worldwide. It principally affects the upper and lower respiratory tract in the majority of cases. In severe cases, it may involve multiple organs including the kidneys. Kidney involvement has been reported to be around 3-9% and the most common presentation is with acute kidney injury (AKI);however, the data is still preliminary. Data regarding COVID-19 virus affecting patients with prior kidney diseases are still rudimentary. Further research is needed to understand the full spectrum of COVID-19 infection on kidney health.