\ BIP! Finder for COVID-19 - Impact-based ranking

BIP! Finder for COVID-19

This version of BIP! Finder aims to ease the exploration of COVID-19-related literature by enabling ranking articles based on various impact metrics.

Last Update: 18 - 01 - 2023 (628506 entries)

Provided impact measures:
Popularity: Citation-based measure reflecting the current impact.
Influence: Citation-based measure reflecting the total impact.
Reader Attention: The current number of Mendeley readers.
Social Media Attention: The number of recent tweets related to this article.
*More details on these impact measures can be found here.
Score interpretations:
Exceptional score (in top 0.01%).
Substantial score (in top 1%).
Average score (in bottom 99%).
Score not available.
Main data sources:
CORD-19 dataset(1) (list of papers)
LitCovid hub(2) (list of papers)
PMC & PubMed (citations)
Mendeley (number of readers)
COVID-19-TweetIDs(3) (tweets)

Use:  Impact  Relevance & Impact
TitleVenueYearImpactSource
1801Graduate and professional students face obstacles, financial hardships during COVID-19 pandemic  

Graduate and professional students with disabilities have faced significantly more obstacles to graduation and more financial hardships during the COVID‐19 pandemic than their nondisabled peers, according to two research briefs prepared by the National Center for College Students with Disabilities.

N/A2022       CORD-19
1802Consider outcomes-based funding, special assistance during COVID-19  

In 2017, the Colorado Commission on Higher Education laid out an ambitious goal for the state: increasing the percentage of adults, aged 25–34, who hold a postsecondary credential from 49% to 66% by 2025. “The reality today is that increasing the number of Coloradans with postsecondary education is crucial to our state's future economic vitality.

N/A2022       CORD-19
1803Contextualization of the trends in number of beneficiaries vaccinated at a COVID-19 vaccination center in Delhi, India  

Background and aims India started vaccination against COVID-19 on 16th January 2021. Present study was conducted to describe the trends in the number of beneficiaries vaccinated at a tertiary care hospital in India against the dynamic background of changing contextual factors. Methods This was a descriptive records-based study conducted at one of the COVID vaccination centre from January 2021 to June 2021. Data on dose-wise daily number of beneficiaries in various categories were collected and analyzed using Excel. The website of the Ministry of Health and Family Welfare (MoHFW), India, press releases and news reports of major media houses were reviewed. Results The peaks observed in number of beneficiaries vaccinated were mainly due to opening up of program for new categories of beneficiaries in a phased manner, announcements made to complete the vaccination coverage within a stipulated time for some categories and publication of trial results by vaccine manufacturers. The dips could be attributed to essential requirement of certain documents, major festivals, disastrous second wave and resulting lockdown in state. Conclusion The time-trend may not remain uniform across the course, but can be predicted in advance to some extent by analyzing past trends. Minimizing the avoidable dips and peaks and managing the unavoidable ones will help in improving the service delivery and beneficiary satisfaction.

N/A2022       CORD-19
1804Marginalized adult learners faced unique challenges during COVID-19  

SAN DIEGO, CALIFORNIA — “It's been my privilege to work with adult learners all the time,” Royce Ann Collins, Ph.D., Associate Professor of Adult Learning and Leadership at Kansas State University, said. Collins has worked with partner organizations, including working with the DeBruce Foundation, to conduct research on adult scholars at various programs, including the differences between adult learners and traditional students.

N/A2022       CORD-19
1805Graduate and professional students face obstacles, financial hardships during COVID-19 pandemic  

Graduate and professional students with disabilities have faced significantly more obstacles to graduation and more financial hardships during the COVID‐19 pandemic than their nondisabled peers, according to two research briefs prepared by the National Center for College Students with Disabilities.

N/A2022       CORD-19
1806COVID-19 linked to decreases in ED or hospital encounters for self-harm or overdose  

The initial 15 months of COVID‐19 were associated with a decline in hospital care for overdose or self‐harm in adolescents and young adults, according to a study conducted in Ontario.

N/A2022       CORD-19
1807"Corona between myth and science"-Innovative experiments and formats for analyzing fake news in corona times in chemistry lessons  

Since students are often very susceptible to misinformation, (out‐of‐)school formats are needed that make it possible to identify fake news. For this reason, a total of five science communication formats were developed, which are dedicated to the topic of “Fake News in the Corona Pandemic”. These include, for example, a student lab setting and an innovative book. The formats can be seen as a supplement to chemistry lessons and enable the students to increase their competence. This article also presents two of the 13 experiments from the student lab setting and the book, which can also be used in chemistry lessons.

N/A2022       CORD-19
1808Front Cover: A Universal DNA Aptamer that Recognizes Spike Proteins of Diverse SARS-CoV-2 Variants of Concern (Chem. Eur. J. 15/2022)  

A unique DNA aptamer, denoted MSA52, displays universally high affinity for the spike proteins of the wild‐type SARS‐CoV‐2 as well as its Alpha, Beta, Gamma, Epsilon, Kappa, Delta and Omicron variants. This aptamer also recognizes pseudotyped lentiviruses expressing eight different spike proteins of SARS‐CoV‐2 with very high affinity, exhibiting dissociation constants (K (d)) of 20–50 pM for these viruses. More information can be found in the Research Article by J. D. Brennan, Y. Li et al. (DOI: 10.1002/chem.202200078).[Image: see text]

Chemistry2022       CORD-19
1809Promoting remote workers' psychological health: Effective management practices during the COVID-19 crisis  

The aim of this study was to identify specific management practices that promote the psychological health of remote workers in the context of the COVID‐19 crisis. A two‐round Delphi study was conducted among 28 teleworkers and 22 managers. A list of 60 specific management practices was presented and participants had to identify whether each one could be used in the current remote working context and, if so, how useful it was to promote psychological health at work. Results indicate that most specific management practices usually used in a face‐to‐face setting can also be used in a remote context (85%). Practices that show consideration, establishing work structure, and allowing flexibility were also identified as the most useful to promote remote workers' psychological health during the pandemic. This study contributes to the advancement of knowledge about specific management practices, remote working, and crisis management. It also suggests specific practices that managers can adopt to promote the psychological health of their employees during a period of crisis, even while managing from a distance.

N/A2022       CORD-19
1810Cover Feature: Structure- and Interaction-Based Design of Anti-SARS-CoV-2 Aptamers (Chem. Eur. J. 12/2022)  

Digital drug design reveals DNA aptamers binding SARS‐CoV‐2: A hybrid in silico et vitro approach, structure and interaction‐based drug design, has been developed to create highly specific DNA aptamers for the receptor‐binding domain of the SARS‐CoV‐2 spike protein. The structure and binding affinity of the aptamers were validated by small‐angle X‐ray scattering, flow cytometry, and fluorescence polarization. This approach offers a blueprint for the straightforward design of targeting molecules for new pathogens and emerging variants. More information can be found in the Research Article by Y. Alexeev, M. V. Berezovski, A. S. Kichkailo, et al. (DOI: 10.1002/chem.202104481).[Image: see text]

Chemistry2022       CORD-19
1811Organizational behavior in international strategic alliances and the relation to performance-a literature review and avenues for future research  

This paper presents a systematic literature review of the research on behavioral factors influencing the performance of international strategic alliances. After capturing the relevance of the research field, we observe the distribution of publications and derive quantitative metrics. Further, we focus on the terms related to alliance performance used in this research domain. Then, the results regarding the behavioral factors of influence on the individual, group-related and organizational level and their relation to alliance performance are stated. Our analysis ascertains that some factors are present on at least two behavioral levels and are understood differently on each level, leading to a certain multidimensionality. Therefore, we develop a categorization that cross all behavioral levels based on four broad categories: relational factors, learning and knowledge, conflict, and other (unrelated) factors. Based on this analysis, we identify avenues for future research. Beside methodological needs for research, gaps concerning the multidimensionality we recognized and various influencing factors are identified, as ambiguous results are apparent or other factors have been scarcely analyzed so far.

N/A2022       CORD-19
1812Epd-markt: Scheve relaties en scheve gezichten  

N/A2022       CORD-19
1813On general multi-server queues with non-poisson arrivals and medium traffic: a new approximation and a COVID-19 ventilator case study  

We consider the multi-server, single-channel queue, i.e., a G/G/k queue with k identical servers in parallel, under the first-come-first-served discipline in which the inter-arrival process is non-Poisson, the service time has any given distribution, and traffic is of medium intensity. Such queues are common in factories, airports, and hospitals, where the inter-arrival times and service times are typically not exponentially distributed, but rather have double-tapering distributions whose probability density functions taper on both sides, e.g., gamma, triangular etc. For these conditions, a new closed-form approximation based on only the mean and variance of the two inputs, the inter-arrival and service times, is presented. Determining distributions of inputs typically requires additional human effort in terms of histogram-fitting and running a goodness-of-fit test, which is avoided here. The new approximation is tested on a variety of scenarios and its performance is benchmarked against simulation. Further, the new approximation is also implemented on a ventilator case study from the recent COVID-19 pandemic to demonstrate its utility in optimizing server capacity. The approximation provides errors typically in the range 1–15% and 31% in the worst case. In systems where data change rapidly and decisions must be made quickly, this approximation will be particularly useful.

N/A2022       CORD-19
1814So flexibel wie möglich?!: Visionen für ein Studium (Sozial-)Pädagogik 2035  

Die Maßnahmen zur Eindämmung der Corona-Pandemie haben das Studieren und die Studienorganisation massiv verändert. Doch: Wie nachhaltig werden und sollen diese Veränderungen sein? Was wünschen sich Studierende? Der vorliegende Beitrag beschäftigt sich anhand der Daten der bundesweiten Studierendenbefragung Stu.diCo II (N = 2527) aus dem Sommersemester 2021 mit der Frage, was von den Studierenden während der vorrangig online stattgefundenen Semester besonders vermisst wurde und was aus Sicht der Studierenden aus den Formaten an der Hochschule in Zukunft beibehalten werden sollte. Der Fokus wird dabei auf Studierende der (Sozial‑)Pädagogik und Erziehungs- und Bildungswissenschaften (n = 548) gerichtet. Es wird die Frage gestellt, was sich aus den Ergebnissen der bundesweiten Studierendenbefragung Stu.diCo II für den „Blick in die Zukunft“ entnehmen lässt und Visionen für ein „Studium 2035 der Sozialen Arbeit“ entworfen.

N/A2022       CORD-19
1815Implementing the Sustainable Development Goals post-COVID-19: A study of Australia and Sweden  

The United Nations 2030 Agenda for Sustainable Development offers countries an opportunity to align domestic law and policy through its framework of international Sustainable Development Goals (SDGs), in an effort to transform the global community. The success of the SDGs rests on their domestic implementation, which can be judged by measurement against targets. This article demonstrates the variable effects of mixed domestic approaches to implementation, through a comparison between Australia and Sweden. Noting the impact of the COVID-19 pandemic and accompanying renewed importance of the SDGs, this article asserts that an integrated multilateral approach to implementing the SDGs (such as Sweden’s) and stronger domestic implementation will be key to recovering the losses sustained during the pandemic and meeting the goals outlined in the 2030 Agenda (in Australia and in other countries).

N/A2022       CORD-19
1816Task allocation and coordination process in distributed agile software development: an ontology based approach  

Distributed agile software development (DASD) has gained much popularity over the past years. It relates to Agile Software Development (ASD) being executed in a distributed environment due to factors such as low development budget, emerging software application markets and the need for more expertise. DASD faces a number of challenges with respect to coordination and communication issues. Task allocation in such an environment thus becomes a challenging task. Adopting proper task allocation strategy is crucial to overcome challenges and issues in DASD. Various studies highlight the challenges being faced by DASD and have proposed solutions in the form of framework or models. Knowledge models in the form of ontologies can help to solve certain issues and challenges by providing a proper representation of data that is shareable among distributed teams. Several ontologies with respect to task allocation exist. However, ontologies incorporating factors and dependencies influencing task allocation process in DASD are limited. An ontology representing the knowledge related to task allocation and coordination is important for proper decision making in organizations. Based on an in-depth literature review and a survey conducted among professionals in industry, this paper proposes an ontology, OntoDASD, that incorporates relevant factors and dependencies to be considered in task allocation and coordination process in DASD environment. The ontology facilitates team coordination through effective communication and task allocation by defining the concepts to share knowledge and information in an appropriate way. OntoDASD has been properly evaluated and validated by professionals in the field.

N/A2022       CORD-19
1817Further analysis of double-diffusive flow of nanofluid through a porous medium situated on an inclined plane: AI-based Levenberg-Marquardt scheme with backpropagated neural network  

The present article exploits a novel application of AI-based Levenberg–Marquardt scheme with backpropagated neural network (LMS–BPNN) to analyze the double-diffusive free convection nanofluid flow model (DDFC-NFM) over an inclined plate in the existence of Brownian motion and thermophoresis properties embedded in a porous medium. The governing PDEs representing DDFC-NFM are transformed into system of nonlinear ODEs by applying suitable transformation. The reference data set is generated from Lobatto III-A numerical solver by variation of magnetic field parameter (M), thermal Grashof number (Gr), angle of inclination (α), Brownian motion parameter (Nb), Dufour-solutal Lewis number (Ld), modified Dufour parameter (Nd) and thermophoresis parameter (Nt) for all scenarios of the designed LMS–BPNN. The approximate solution and its comparison with standard solution are analyzed by execution of training, testing and validation procedure of the designed LMS–BPNN. The effectiveness and reliable performance of LMS–BPNN are endorsed with MSE-based fitness curve, regression analysis, error histogram analysis and correlation index. Results reveal that velocity increases with the rise in Gr, whereas reverse trend has been noticed for angle of inclination and magnetic field parameter and the temperature profile increases with the increase in Nb, Nd and Nt. The solutal concentration profile increases with the increment in Ld, while an increase in Nd causes a decrease in it. When Nt increases, the enhancement in the nanoparticle volume frictions occurs, but an opposite behavior is depicted for Brownian motion parameter.

N/A2022       CORD-19
1818Embedding Expertise for Policy Responses to COVID-19: Comparing Decision-Making Structures in Two Federal Democracies  

The COVID-19 crisis focused attention on how experts from different scientific fields provided advice to governments through expert committees and task forces. We compared experiences in two federal democracies, Belgium and Australia, by applying a mixed methods approach (literature review, media review, policy documents analysis). This comparative study found that expertise was institutionalized in different ways and its processes and priorities shifted over time. The policy coordination challenges inherent in federalism were largely overcome in Australia through strongly embedded health advisory processes. In Belgium, the advisory process was less stable, with advisory councils being abandoned, replaced, expanded, or downgraded during the course of the crisis.

N/A2022       CORD-19
1819Application of Machine Learning for Accurate Detection of Hemoglobin Concentrations Employing Defected 1D Photonic Crystal  

Realizing the significance of precise detection of hemoglobin concentrations towards early diagnosis of several diseases, the present work addresses design and analysis of hemoglobin sensor based on the defective 1D photonic crystal (PhC). The alternating layers of Si and SiO(2) are used to design the proposed PhC with a central defect layer infiltrated with hemoglobin concentrations. The well-established transfer matrix method (TMM) is manipulated to study the transmission spectrum of the structure. The strong dependence of defect mode characteristics on the refractive index of the hemoglobin concentrations forms the backbone of this work. Numerous geometrical parameters such as thickness of defect layer, angle of incidence are meticulously optimized to realize high sensitivity. Additionally, the effect of temperature is thoroughly investigated on the sensing performance. It is perceived that at an incident angle of 30(0) and the defect layer thickness of 550 nm, the proposed structure bestows a maximum sensitivity of 1916.77 nm/RIU. Finally, we developed a machine learning model to predict different concentrations of hemoglobin in blood, where we found that the model output is closely matched with the output obtained through the TMM. Moreover, it is perceived that the developed machine learning model can predict hemoglobin concentrations with high accuracy and linearity.

N/A2022       CORD-19
1820Epidemic modeling for the resurgence of COVID-19 in Chinese local communities  

COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the virus. The long-term fight against multiple COVID-19 outbreaks is ongoing. In this study, we propose an SEIQR model that considers the incubation period and quarantine measurement. We verified our model using actual outbreak data from four Chinese cities. Numerical simulations show that a five-day delay results in a double resurgence scale. Our model can be used as a tool to understand the spread of the virus quantitatively and provide a reference for policymaking accordingly.

N/A2022       CORD-19
1821Anlagen und Produkte  

N/A2022       CORD-19
1822Anxiety and depression among epilepsy patients in low-risk areas for COVID-19 in the northern part of Guizhou Province, China, during the COVID-19 pandemic  

BACKGROUND: This study was aimed to investigate whether patients with epilepsy (PWE) have higher depression and anxiety levels than the normal population in low-risk areas for coronavirus disease 2019 (COVID-19) in the northern part of Guizhou Province, China, during the COVID-19 epidemic, to evaluate their knowledge on COVID-19, and to analyze related factors for the psychological distress of PWE at this special time. METHODS: The survey was conducted online from February 28, 2020 to March 7, 2020 via a questionnaire. PWE from the outpatient clinic of epilepsy of the Affiliated Hospital of Zunyi Medical University, and healthy people matched for age and sex, participated in this study. Mental health was assessed via a generalized anxiety self-rating scale (GAD-7) and the self-rating depression scale (PHQ-9). The knowledge of COVID-19 in both groups was investigated. RESULTS: There were no significant differences in the general demographics between the PWE and healthy control groups. The scores of PHQ-9 (P < 0.01) and GAD-7 (P < 0.001) were higher in the PWE group than in the healthy group. There was a significant difference in the proportions of respondents with different severities of depression and anxiety, between the two groups, which revealed significantly higher degree of depression and anxiety in PWE than in healthy people (P = 0, P = 0). Overwhelming awareness and stressful concerns for the pandemic and female patients with epilepsy were key factors that affect the level of anxiety and depression in PWE. Further, the PWE had less accurate knowledge of COVID-19 than healthy people (P < 0.001). There was no statistically significant difference between the two groups in the knowledge of virus transmission route, incubation period, susceptible population, transmission speed, clinical characteristics, and isolation measures on COVID-19 (P > 0.05). PWE knew less about some of the prevention and control measures of COVID-19 than healthy people. CONCLUSIONS: During the COVID-19 epidemic, excessive attention to the epidemic and the female sex are factors associated with anxiety and depression in PWE, even in low-risk areas.

N/A2022       CORD-19
1823EFL learners' engagement in different activities of blended learning environment  

With the blended learning widespread in higher education, the research on the factors which can influence the students’ engagement and their working mechanism has become more and more valuable. In this study, college students’ perception on three aspects, i.e. their cognitive engagement and emotional engagement in two different activities, the activity features and teachers’ roles, has been collected through both questionnaires and interviews. Repeated variance measurement, Pearson correlation analysis and General linear regression have been used to process the quantitative data. Thematic analysis has been used to process the qualitative data. The results show that the cognitive engagement and emotional engagement in Teacher’s Q & A and Online discussion are significantly different (F(CE) = 10.32**, ŋ(2) = 0.07; F(EE) = 29.60***, ŋ(2) = 0.17). Students’ emotional engagement and cognitive engagement in activities are affected by various task features and teacher’s roles. Pedagogical implication and suggestions for further research have also been provided.

N/A2022       CORD-19
1824BWK Intern  

N/A2022       CORD-19
1825Blockchain and supply chain finance: a critical literature review at the intersection of operations, finance and law  

In the current environment, where the Covid-19 pandemic has exposed the vulnerabilities of the incumbent paper-based trade and supply chain finance systems, digital transformation pledges to alleviate the friction on international trade. Here, we provide a timely review of state-of-the-art industry applications and theoretical perspectives on the use of blockchain as the medium toward digitalisation for supply chain finance systems. We argue that blockchain technology has an innovation promoting role in supply chain finance solutions through reducing inefficiencies and increasing visibility between different parties, which have hitherto constituted the main challenges in this sphere. Based on a review of the academic literature as well as an analysis of the industrial solutions that have emerged, we identify and discuss the financial, operational and legal challenges encountered in supply chain financing and the promise of blockchain to address these limitations. We discuss the bottlenecks as well as the benefits of blockchain and identify some necessary conditions required for the emergence of blockchain-enabled trade and supply chain financing, such as the establishment of co-opetition among supply chain actors, integration with IoT systems for data quality, and reform of regulatory and legal frameworks. We conclude by identifying promising research directions about the implementation process, inviting further research into the transformation of business models toward a more collaborative nature.

N/A2022       CORD-19
1826Local modeling of weighted mean temperature in Iran and its impact on GNSS meteorology  

Weighted mean temperature ([Formula: see text] ) is used to determine water vapor content, precipitable water vapor, and integrated water vapor (IWV) in GNSS. This parameter is highly correlated with climate conditions as well as the type of the region. The case study is performed in Iran which has diverse climate. ERA5 reanalysis datasets were used at a compact grid of 0.125 × 0.125 between 2007 and the end of 2019 to model the [Formula: see text] . The data obtained from 12 radiosonde stations along with an IGS station located in Tehran were employed in this research. Five models were examined for [Formula: see text] . Bevis model, linear grouping model (LGM), and linear nearest grid point model (LNGPM) were considered as [Formula: see text] linear models, and harmonic model (HM) and GPT2w model were used as nonlinear models. In LGM method the study region was divided into smaller areas with different linear model coefficients using spatial grouping method. The local model in each radiosonde station was considered as a reference. According to the results, the accuracy of linear models (Bevis and LGM model) was between 3 and 8 K (radiosonde data as reference); also 7 out of 12 stations in the LGM had higher accuracy than the Bevis model (based on RMSE). The accuracy of the two GPT2w models and the harmonic model was higher than the previous two models, and it was between 2 and 4 K. The IWV values were obtained using zenith total delay observations of IGS station located in Tehran using 5 models and were compared with the IWV values of the radiosonde station. The accuracy of the values in three linear models, Bevis, LGM, and LNGPM, was, respectively, 0.2, 0.17, and 0.14 kg m(−2), and in the two nonlinear models, GPT2w and HM, was 0.13 kg m(−2).

N/A2022       CORD-19
1827Lean Entrepreneurship and SME Practice in a post-COVID-19 Pandemic Era: A Conceptual Discourse from Nigeria  

This study investigates lean principles among Nigerian entrepreneurs and SME managers in the operational process in the aftermath of COVID-19 pandemic in Nigeria. It offers the panacea to the challenge of social-economic shocks and their adverse effects on SMEs' business activities in Nigeria. The study adopts a conceptual approach to investigate lean entrepreneurship practice by SMEs in Nigeria. It relies on data from extant literature, using a conceptual approach to examine the social-economic effects of COVID-19 pandemic and critical environmental factors on the lean entrepreneurship practice in Nigeria. Furthermore, the study explores the influence of lean practice among SMEs and entrepreneurs in Nigeria and suggests a broad model for lean entrepreneurial practice in post-COVID-19 pandemic Nigeria. Findings highlight the broad social-economic effects of COVID-19 pandemic and other challenges such as theft, host community pressure, weak legal system, and inadequate government policy support affect lean entrepreneurship practice. These factors constitute complex operational issues that would require the adoption of a more comprehensive approach to address. It also highlights crucial factors for post-COVID-19 pandemic SMEs' operational success in Nigeria due to deficits in infrastructure and regulatory efficiency for SMEs' operations to address the various challenges of business failures in Nigeria. The study suggests a lean SME and Entrepreneurial Practice model in the post-COVID-19 pandemic era. It emphasises the need to refocus the active interest of the lean entrepreneur on critical business sustainability. The study recommends a critical review of the internal operational process among practicing entrepreneurial businesses and a re-modification of public policies system that governs the operational functions of entrepreneurial practices for reasonable and resilient post-COVID-19 pandemic entrepreneurship practices that can support the SMEs and economic growth in Nigeria.

N/A2022       CORD-19
1828Total trade, cereals trade and undernourishment: new empirical evidence for developing countries  

While trade policies are considered strategic to shape national food systems and promote food security, the ultimate impact of trade openness on hunger is still highly debated. Using a sample of 81 developing over the period 2001–2016 and principally focusing on the prevalence of undernourishment, this study provides new empirical evidence. Firstly, it estimates the impact of total trade differentiating the effects that pass through changes in real per capita income—i.e. on the economic access to food—from the residual effects that it directly has on the other dimensions of food security. Subsequently, it concentrates on cereals trade, that usually is the most affected by trade restrictions and the most correlated to undernourishment. Finally, it explores the different effects of cereals trade in terms of imports and exports. Three main conclusions emerge: (a) trade openness contributes to lower the prevalence of undernourishment in developing countries and most of this effect is not income-mediated but, rather, passes through the impacts that it directly has on the other dimensions of food security; (b) such impacts are mostly driven by the trade openness of the cereals sector where (c) its import component turns out to play the main role.

N/A2022       CORD-19
1829Pandemiebedingte Belastungserfahrungen, Ressourcen und depressive Stimmungen von Studierenden am Ende des Online-Wintersemesters 2020/21  

BACKGROUND: Students worldwide belong to a vulnerable group with an above-average tendency towards depressive disorders. Empirical studies also show that depressive moods among students have increased significantly during the coronavirus disease 2019 (COVID-19) pandemic. OBJECTIVES: The aim of the article is to examine whether the stress experiences caused by the pandemic are related to the depressed mood of the students. In addition, it is analyzed whether resilience, coping and social support as resources are associated with the depressive moods of students. The aim is to clarify which resources can explain the connection between the stress experiences caused by the pandemic and the depressive mood of students as mediators. METHODS: The study is based on an online survey of students at Magdeburg-Stendal University of Applied Sciences for the 2020/21 winter semester. The data of 621 students were evaluated. A mediation analysis was carried out. RESULTS: Pandemic-related stress experiences are significantly related to the depressive moods of students. Resilience is also a significant factor influencing depressive moods and partially mediates the influence of pandemic-related stressful experiences on the depressed mood of the students. Coping and social support show no significant association with the depressed mood of the students. CONCLUSION: Starting points for reducing the depressive mood lie in reducing the stress caused by the pandemic and in strengthening the resilience of the students.

N/A2022       CORD-19
1830Potential of milling byproducts for the formulation of health drink and detox tea-substitute  

Due to pandemic situation, a sudden demand of healthy and immune booster products has risen to get rid of infections like Covid-19. The aim of this study is to develop novel health drink and beverages using plant-based byproducts like orange peel, milling byproducts (chickpea husk, rice bran, broken rice, wheat bran). Byproducts were processed by using different culinary processes such as, soaking, blanching, roasting, natural air-drying. Proximate composition along with minerals, antioxidants, Vitamin-C of formulated Health Drink Powder (HDP) and Detox Tea-substitute (DTS) were estimated. Most acceptable variants among the formulated products were estimated through sensory profiling where, HDP1 (7.79 ± 0.01) and DTS2 (8.18 ± 0.11) showed higher acceptability scores among others. Crude protein present in HDP and DTS were (19.27 ± 0.01)% and (18.21 ± 0.19)% respectively. Calcium was higher in HDP (81.21 ± 4.03 mg/100 g), whereas phosphorus was higher in DTS (211.52 ± 0.22 mg/100 g). Total phenolic contents of both the products were around 4 mg GAE/g. Vitamin C level was higher in HDP (60.23 ± 0.11 mg/100 g). Shelf life study and microbial load assessment indicated longer storage life of the formulated products. The Total Plate counts (Log CFU/g) were 2.12 ± 0.01 and 2.08 ± 0.12 found to be in freshly prepared HDP1 and DTS2 respectively under evaluation. The yeast and mold counts (Log CFU/g) was observed after 75th day and 60th day in HDP1 (2.09 ± 0.05) and DTS2 (2.01 ± 0.11) respectively (stored room temperature). The overall acceptability of these novel formulations as determined by sensory evaluation throughout the storage duration was satisfactory. According to the estimated data it can be concluded that the selected byproducts can be utilized as significant plant-based sources to formulate value-added functional products without affecting its sensory quality and to enhance nutritional status of consumer.

N/A2022       CORD-19
1831Review and Meta-Analysis: SARS-CoV-2 and Enveloped Virus Detection in Feces and Wastewater  

Detection and quantification of viruses supplies key information on their spread and allows risk assessment for public health. In wastewater, existing detection methods have been focusing on non‐enveloped enteric viruses due to enveloped virus transmission, such as coronaviruses, by the fecal‐oral route being less likely. Since the beginning of the SARS‐CoV‐2 pandemic, interest and importance of enveloped virus detection in wastewater has increased. Here, quantitative studies on SARS‐CoV‐2 occurrence in feces and raw wastewater and other enveloped viruses via quantitative real‐time reverse transcription polymerase chain reaction (RT‐qPCR) during the early stage of the pandemic until April 2021 are reviewed, including statistical evaluation of the positive detection rate and efficiency throughout the detection process involving concentration, extraction, and amplification stages. Optimized and aligned sampling protocols and concentration methods for enveloped viruses, along with SARS‐CoV‐2 surrogates, in wastewater environments may improve low and variable recovery rates providing increased detection efficiency and comparable data on viral load measured across different studies.

N/A2022       CORD-19
1832The impact of the COVID-19 pandemic on pediatric chronic illness groups  

The COVID‐19 pandemic has had profound impacts on children and families, with widescale disruptions in many aspects of individual, family, school, and peer functioning. For children and adolescents, the pandemic has contributed to increased prevalence of depression, anxiety, eating disorders, and suicidality, particularly among adolescents.

N/A2022       CORD-19
1833A Study on AI-based Waste Management Strategies for the COVID-19 Pandemic  

COVID‐19 has swept across the globe and disrupted all vectors of social life. Every informed measure must be taken to stop its spread, bring down number of new infections and move to normalization of daily life. Contemporary research has not identified waste management as one of the critical transmission vectors for COVID‐19 virus. However, most underdeveloped countries are facing problems in waste management processes due to the general inadequacy and inability of waste management. In that context, smart intervention will be needed to contain possibility of the COVID‐19 spread due to inadequate waste management. This paper presents a comparative study of the artificial intelligence/machine learning based techniques, and potential applications in the COVID‐19 waste management cycle (WMC). A general integrated solid waste management (ISWM) strategy is mapped for both short‐term and long‐term goals of COVID‐19 WMC, making use of the techniques investigated. By aligning current health/waste‐related guidelines from health organizations and governments worldwide and contemporary, relevant research in area, the challenge of COVID‐19 waste management and, subsequently, slowing the pandemic down may be assisted.

N/A2022       CORD-19
1834COVID-19 linked to decreases in ED or hospital encounters for self-harm or overdose  

The initial 15 months of COVID‐19 were associated with a decline in hospital care for overdose or self‐harm in adolescents and young adults, according to a study conducted in Ontario.

N/A2022       CORD-19
1835Children of Incarcerated Parents and COVID-19  

In the May 2020 edition of this publication, I wrote a guest commentary entitled “In support of children of incarcerated parents.” This commentary attempted to shed some light on the estimated 2.7 million minors — or one in 28 children — who are currently suffering the consequences of their parent's incarceration. Many more children have a parent that has recently been released from the correctional system. One in 14 kids will have a parent incarcerated before they are 18 years of age! Think about that — every classroom and every faith‐based community in America likely has a child or several children who fall into this subgroup.

N/A2022       CORD-19
1836nSARS-CoV-2 and COVID-19 Pandemic: From Emergence to Vaccination  

Since its first emergence in Wuhan, China, the novel severe acute respiratory syndrome coronavirus-2 (nSARS-CoV-2)-associated coronavirus disease 2019 (COVID-19) has alarmingly disrupted the world’s healthcare systems and evolved as a major public health threat around the globe. Despite the advent and emergency use listing (EUL) of mRNA- and adenovirus-based vaccines to prevent the further transmission of SARS-CoV-2 infection, the pandemic burden is still significant worldwide as new cases are being reported daily. It is the first time in vaccine history that vaccines against SARS-CoV-2 have been rapidly designed, developed, and clinically evaluated and surprisingly, they have worked better than clinical trial data predicted. However, this EUL of vaccines prior to full approvals stems from the perception of inadequate testing and experience with benefit–risk balance. Similarly, the emergence of superspreader SARS-CoV-2 mutant virus strains at the end of 2020 has also raised concerns about the efficacies of approved vaccines in real-world clinical scenarios. The inconclusive, murky, and anecdotal reports about vaccine hesitancy, antibody-dependent enhancement of disease risk in vaccine injectors, and certain severe adverse events have also frightened a large segment of the world’s population, preventing them from receiving the vaccine. This review presents an overview of the remarkable efforts rendered by different vaccine producers to combat the pandemic, explains the challenges of vaccine safety and efficacies against SARS-CoV-2 variants of concern, and explores their potential roles in eradicating the COVID-19 pandemic.

N/A2022       CORD-19
1837Der Allgemeine Soziale Dienst in der Corona-Pandemie: Empirische Erkenntnisse zu den Arbeitsbedingungen und deren Auswirkungen auf die (professionelle) Soziale Arbeit im ASD  

Die Arbeitsbedingungen im Allgemeinen Sozialen Dienst (ASD) der Jugendämter und die Folgen für den Kinderschutz gerieten in der Corona-Pandemie schnell in den Fokus der öffentlichen Aufmerksamkeit und wurden kontrovers diskutiert. Der vorliegende Beitrag beleuchtet unter Bezugnahme statistischer Daten aus dem ersten und zweiten Lockdown die Arbeitsbedingungen und Kontaktmöglichkeiten in diesem Arbeitsfeld und differenziert hierbei die Einschätzung von Leitungs- und Fachkräften im ASD.

N/A2022       CORD-19
1838Impact of COVID-19 pandemic on household financial decisions: A consumer vulnerability perspective  

This study joins a rapidly growing body of research that investigates the multi‐faceted impacts of the Covid‐19 pandemic on consumers' behavior. Specifically, we examine how the pandemic‐induced state of vulnerability impacts consumers' saving, investing, and spending decisions. Using survey data from four different countries (i.e., USA, UK, South Africa, and Mexico), we examine the role of personality on consumer vulnerability, create an index of consumer vulnerability, and establish the role of vulnerability in impacting important financial decisions. We report evidence that perceptions of vulnerability and the pandemic‐induced changes in financial and consumption behaviors vary across residents of developed and developing countries. The results indicate that vulnerability is experienced and reflected through a multitude of fears and concerns and is influenced by personality traits (agreeableness, neuroticism, conscientiousness, need for material resources, and need for body resources) and can result in increased spending on products/services that are not normally perceived as necessities. Our findings carry important theoretical and managerial implications.

N/A2022       CORD-19
1839The impact of the COVID-19 pandemic on grocery shopper behaviour: Analysis of shopper behaviour change using store transaction data  

The systemic shock of coronavirus (COVID‐19) and its impact on the global economy has been unprecedented with grocery shopper behaviour changing dramatically through various stages of the pandemic. COVID‐19 has caused unusual market conditions, with significant changes to grocery shopper behaviour that need to be understood to allow for appreciation of shopper behaviour change and retail planning implications during future systemic shocks. The aim of this study was therefore to understand grocery‐shopping behaviour during COVID‐19. Specific objectives were to investigate changes to grocery sale patterns by basket size, composition and category, as well as during specific time periods of the pandemic. The use of transaction data using a range of market basket indicators (e.g., value, size, product mix), revealed profound changes that indicate the challenge shoppers faced navigating a new ‘normal grocery shop’ and the pressure on retailers to analyse consumption changes in order to prioritise demand planning. While the use of this data and analysis approach is an important contribution to consumer behaviour research, our focus was on the bigger patterns observed through the data pertaining to changes in shopper behaviour during systemic shocks. A key contribution of this paper is how the use of transaction data from grocery retail provides a nuanced understanding of how grocery shoppers responded leading up to and during the pandemic. For example, we found that grocery shoppers purchased more than just ‘daily staples’ to stock‐up during the pandemic, with increased awareness of health and wellbeing an important aspect.

N/A2022       CORD-19
1840Prediction of COVID-19 Infected Population for Indian States through a State Interaction Network-based SEIR Epidemic Model  

Objective of this present study is to predict the COVID-19 trajectories in terms of infected population of Indian states. In this work, a state interaction network of sixteen Indian states with highest number of infected caseload is considered, based on networked Susceptible-Exposed-Infected-Recovered (SEIR) epidemic model. An intervention term has been introduced in order to capture the effect of lockdown with different stringencies at different periods of time. The model has been fitted using least absolute shrinkage and selection operator (LASSO). Machine learning methods have been used to train the parameters of the model, cross-validate the data, and predict the parameters. The predictions of infected population for each of the sixteen states have been shown using data considered from January 1, 2021 till writing this manuscript on June 25, 2021. Finally, the effectiveness of the model is manifested by the calculated mean error and confidence interval.

N/A2022       CORD-19
1841Fractional optimal control of compartmental SIR model of COVID-19: Showing the impact of effective vaccination  

In this work a compartmental SIR model has been proposed for describing the dynamics of COVID-19 with Caputo’s fractional derivative(FD). SIR compartmental model has been used here with fractional differential equations(FDEs). The mathematical model of the pandemic consists of three compartments namely susceptible, infected and recovered individuals. The dynamics of the pandemic COVID-19 with FDEs for showing the effect of memory as most of the cell biological systems can be described accurately by FDEs Time dependent control(Effective vaccination) has been applied model to formulated fractional optimal control problem(FOCP) to reduce the viral load. Pontryagin’s Maximum Principle(PMP) has been used to formulate FOCP. An effective vaccination is very helpful for controlling the pandemic, which is observed through the numerical simulation via Grunwald-Letnikov(G-L) approximation. All numerical simulation work has been carried in MATLAB platform.

N/A2022       CORD-19
1842Mitigating disruption: How corporate boards are prioritizing business resilience during the pandemic  

Catherine Allen is the founder and chairman of the Board Risk Committee, a nonprofit organization dedicated to providing a trusted, noncompetitive, peer forum for the exchange of ideas, best practices, and topics of interest. She is also a member of Women Corporate Directors. In this article, she discusses the impact that the COVID‐19 pandemic has had on corporate boards, and some of the ways they've responded to the crisis.

N/A2022       CORD-19
1843Fostering the Assessment Processes of Academic Programs in Higher Education During COVID-19: An Example from James Madison University  

N/A2022       CORD-19
1844American hedge funds industry, market timing and COVID-19 crisis  

This paper addresses two key issues relating to the interactions among the North American hedge funds industry, the equity and treasury bond markets during the COVID-19 pandemic. First, we examine the market-timing ability of North America hedge fund managers using eight strategies as well as the composite hedge fund index. Secondly, we analyze both the short- and long-term effects of both the North American equity and bond markets on the performance of the regional hedge funds industry while accounting for the effects of COVID-19 pandemic. Our results show no significant evidence of market return-timing ability of hedge fund managers across all the funds strategies during the pandemic. However, we document a strong evidence of the effects of the pandemic on the performance of fund managers, except for the Managed Futures and the Relative Value funds strategies. Secondly, we demonstrate that the COVID-19 pandemic may have significantly altered the long-term effects of the North American equity market on the performance of the hedge fund industry while the effects of the bond market is only significant in the short-term. We outlined some crucial implications of these findings for the decision-making process of hedge fund managers, investors as well as market makers during a health crisis-induced financial market turbulence.

N/A2022       CORD-19
1845Moderating effects of emotion regulation difficulties and resilience on students' mental health and well-being during the COVID-19 pandemic  

This study examined whether emotion regulation difficulties and resilience in college students moderated changes in mental health over the course of the COVID-19 pandemic. Participants (N = 321) completed surveys assessing mental health, in addition to levels of emotion dysregulation, and resilience during the pandemic, then utilized an anchoring prompt to recall mental health experiences before the pandemic. Correlations revealed participants with higher levels of emotion dysregulation also reported lower levels of resilience. Analyses using the SPSS Macro MEMORE (Montoya, 2019) revealed participants with higher levels of emotion regulation difficulties had greater increases in depression and insomnia, and greater decreases in well-being over the course of the COVID-19 pandemic, while participants with lower levels of resilience had greater increases in depression, anxiety, and insomnia over the course of the pandemic. These results highlight the importance of additional support services and mental health training at universities to meet college students’ immediate and long-term emotional needs stemming from the pandemic.

N/A2022       CORD-19
1846Patterns in Local Economic Development in Light of COVID-19  

The COVID-19 pandemic pressured local governments to employ creative and untested economic development strategies to stabilize private businesses. To explore how the uncertainty of the pandemic impacted the priorities and strategies of economic development officials, we surveyed officials about their initial economic development response to the pandemic coupled with subsequent in-depth interviews in the Cincinnati metropolitan region. Our analysis suggests that local officials did not drastically alter their use of supply-side tools during the pandemic. However, they did start coupling supply-side with demand-side policies in unique ways compared to past economic crises. This study also finds that the pandemic affected collaboration processes, leading officials to deepen and forge relationships with other local governments. We find that these shifts have proven durable over the past year as municipalities continue to grapple with changing economic conditions due to COVID-19. As additional waves are likely, we suggest that administrators must consider the skills required to manage evolving economic conditions as well as both the supply and demand sides of local economic development.

N/A2022       CORD-19
1847Resilience in the pandemic: Remote learning on the fly  

This study examined students’ learning adjustments in an introductory statistics class in response to the unexpected challenge presented by the COVID-19 pandemic. Results show significant correlations in grades, page views, and on-time assignment submissions (OTAS) suggesting that the in-person and online learning modalities were comparable. The distributions of student learning activities were narrowly clustered around the means with smaller standard deviations recorded during the online sessions. Grades were positively correlated with OTAS for the in-person classes. For online classes using synchronous screen sharing, grades were positively associated with attendance; however, they were negatively influenced by the numbers of page views in the learning management system. The relations between attendance and achievement might be influenced by the complexity of content material. Students benefited more from attending classes in technical topics such as inferential statistics compared to descriptive statistics. It appears that participating in synchronous classes was a more effective means of learning inferential statistics than merely reviewing the instructor’s notes. In contrast, no correlation between grades and attendance was observed for in-person learning sessions covering descriptive statistics. There were no differences in learning adjustments between male and female students and both showed substantial resilience in adapting to the changes. Students unanimously looked forward to returning to campus. This study suggests it is the students’ individual learning approaches and behaviors that have a greater impact on their learning outcomes than the modality in which they are taught. Course designs and assignment formats might be factors that influenced students’ attendance and OTAS.

N/A2022       CORD-19
1848"Exams by You": Having Students Write and Complete Their Own Exams During the COVID-19 Pandemic  

BACKGROUND: The COVID-19 pandemic made it difficult to proctor exams after the forced transition to remote teaching and learning. OBJECTIVE: We evaluated students’ experiences creating and answering their own exam items in an upper-level psychology course during the transition to remote teaching and learning during the COVID-19 pandemic. METHOD: Students in an advanced social psychology course wrote and answered exam items to demonstrate their learning when proctored exams became impossible during the COVID-19 pandemic. The exams were graded for breadth, depth, and accuracy, and compared to other demonstrations of learning, including traditional in-class exams taken prior to the transition to remote teaching and learning. RESULTS: Students performed well on these exams. Students reported positive perceptions of these exams during the COVID-19 pandemic, but reported that, while these exams reduced test anxiety, they were time-intensive. CONCLUSION: Students can demonstrate their learning by writing and completing their own exams. Their higher grades may be related to reduced test anxiety and greater time investments. TEACHING IMPLICATIONS: Instructors should consider having students write and complete their own exams to demonstrate their learning, especially when proctoring exams is difficult or impossible.

Teach Psychol2022       CORD-19
1849"Sex as a way to gain some control": Sexual subjectivity during the COVID-19 pandemic  

The COVID-19 pandemic has shifted dynamics of sexual health, including sexual subjectivity, or the way in which someone thinks of themself as a sexual being and feels entitled to pleasure. This study examines how adults in the US perceive changes in their sexual subjectivity related to the pandemic. We conducted an online survey (N = 326), and included thematic analyses related to open-ended questions. The following themes emerged: intentional self-reflection, control of change, control of perspective, control of relationships, control of communication, and control of sexual behavior. Our findings have implications for psychological and public health approaches. We find large overlap of “capacity and engagement in self-reflection” across other themes. The implications and durability of these changes are unknown.

Sexualities2022       CORD-19
1850Infrastructure in times of exception: Unravelling the discourses, governance reforms and politics in 'Building Back Better' from COVID-19  

In seeking to counter adverse economic impacts resulting from the COVID-19 pandemic, many governments quickly announced major infrastructure stimulus packages alongside a series of governance reforms to speed delivery. Despite significant differences between political, institutional and policy contexts of countries, clear trends emerged, most notably discourses of promise promoting the possibilities of state-led infrastructure allied to reforms to expedite delivery. Using case studies of Australia, Aotearoa-New Zealand and the UK, we draw upon theories of postpolitics and states of exception to explain how these approaches comprise a form of infrastructuralism that both elevates the criticality of infrastructure at the same time as depoliticising infrastructure planning. We argue that the promises of Building Back Better did not constitute the radical rupture from earlier practices initially promised and that in future crises we need to resist the closure of political space that typically accompanies emergency measures and ask ‘what infrastructure, for whom and where?’

N/A2022       CORD-19

(1) COVID-19 Open Research Dataset (CORD-19). 2020. Version 2022-06-02. Retrieved from https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html. Accessed 2022-06-05. doi:10.5281/zenodo.3715506
(2) Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193 and Chen Q, Allot A, Lu Z. LitCovid: an open database of COVID-19 literature. Nucleic Acids Research. 2020. (version 2023-01-10)
(3) Currently tweets of June 23rd to June 29th 2022 have been considered.

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