Study on the Comparison of Three Typical Gas Flow Standards for Calibrating Low Gas Flowmeter

A gas flowmeter for measuring low flow rate has been widely used in the field of medical, health, environmental protection, energy industry, aerospace, etc. To against Covid-2019, the requirement on the low flow rate has been increasing dramatically. At present, the typical standard devices for calibrating low gas flowmeter mainly include standard bell provers of gas flow, standard piston provers of low gas flow and standard laminar of low gas flow. Different measuring principles are adopted among these typical standard devices. To ensure the consistency of these typical standard devices, a comparison test is performed. The standard devices used in the comparison are of the same accuracy grade, with an extended uncertainty of 0.2%(k=2). The piston-type gas flow calibrator of grade 1.0 is selected as the transfer standard, and three flow points with high flow rate, medium flow rate and low flow rate are selected for test. The consistency of measurement results is evaluated by normalized deviation En. The comparison results are acceptable which show that three typical standard devices are accurate and reliable. © FLOMEKO 2022.All rights reserved

Transformation of the Functions of Higher School Teachers in Conditions of Uncertainty: Problem Statement

Introduction. In modern social and educational conditions, the process of uncertainty in pedagogical practice occurs at a rapid pace, due to the globalisation and digitalisation of education, as well as the COVID-19 pandemic. As a result, there are teachers' transformations and new functions, which cannot affect their pedagogical capabilities;therefore, the article presents a problem on this issue.Aim. The aim of this problematic article is to consider from different points of view the phenom- enon of uncertainty in pedagogical activity and the transformation of the functions of higher school teachers in the conditions of uncertainty caused by the digitalisation of education. Methodology and research methods. The work was based on the methodology of interdisciplinary analysis of theoretical sources, foreign and Russian pedagogical experience in the field of uncertainties;the method of questioning and interviewing teachers of higher education was used to identify attitudes to professional activity in conditions of uncertainty.Results and scientific novelty. In the course of the study, it was found that at the present stage of education development, the transformation of the functions of higher school teachers in conditions of uncertainty is not investigated either in Russian pedagogical practice or abroad due to the undeveloped theoretical provisions in this area of pedagogical activity. The problem is posed in the field of transfor- mation of the capabilities and functions of higher school teachers in conditions of uncertainty from the perspective of different sciences. The scientific novelty of the research is the following developed provi- sions: 1) a new interpretation of the concept of "professional functions of a teacher" is proposed, includ- ing professional competence and professional activity of a teacher in a digital educational environment within his/her subject area at the university;2) a pedagogical model of transformation of teacher func- tions in a digital educational environment is developed, including the functions of teaching, upbringing, methodological function, as well as the function of digital didactics and the digital competence function of the teacher;3) the uncertainty factors and their content that influence the process of transformation of the functions of higher school teachers are identified: technological management of pedagogical ac- tivity;pedagogical practice without emotional contact between the subjects of the educational process;self-realisation in a virtual environment;the need for design thinking;personal growth of a teacher in a digital educational environment;transformation of the functions of managing their own pedagogical practice;4) a classification of uncertainties encountered in the professional activities of higher school teachers has been developed based on two characteristics - belonging to professional educational activ- ities and digital support of pedagogical practice.Practical significance. The proposed classification and uncertainty factors influencing the process of transformation of the functions of higher school teachers can be used in pedagogical practice to deter- mine internal and external influences on teachers in the digital educational environment.

Budget Impact Analysis of COVID-19 Vaccines on U.S. Medicare and Commercial Health Plans after Depletion of the Federally-Purchased Supply

Objectives: To analyze the budget impact (BI) of Covid-19 vaccines from a mixed U.S commercial and Medicare payer perspective after depletion of the Federally-Purchased Supply (FPS). Method(s): BI analyses were conducted in a hypothetical one-million member health plan with a mixed commercial (55%) and Medicare (45%) population over a one-year time horizon based on the current (January 2023) Covid-19 vaccine recommendations from the Centers for Disease Control and Prevention (CDC). The two scenarios in the model include 1) the health plan does not pay for Covid-19 vaccines, and 2) after the depletion of FPS, the health plan must cover all costs for Covid-19 vaccines. Model inputs include the market shares of available Covid-19 vaccines in the US as of December 2022, Covid-19 vaccine utilization trends stratified into age groups (<12, 12-17, 18-24, 25-49, 50-64, >=65 years old) between commercial and Medicare populations, and predicted Covid-19 vaccine costs. Model inputs were based on the CDC publicly available data, real world evidence, published literature, and expert opinions. Sensitivity analyses (SA) were conducted to test uncertainties arising from the input values in the model. Result(s): The number of members receiving one primary dose, completed Covid-19 vaccine series, one booster dose and two booster doses was estimated at 9,253, 49,720, 594,933 and 29,387, respectively. The incremental Covid-19 vaccine cost per member per month over one year after depletion of the FPS was $5.92 for the commercial population, $8.93 for the Medicare population, and $7.27 for the total population in the health plan. In the SA, the largest effect was observed for the scenario which varied the percentage of population >=65 years old receiving one booster dose. Conclusion(s): The model results indicate that there will be a high budget impact from a mixed U.S commercial and Medicare perspective after depletion of the FPS of Covid-19 vaccines.Copyright © 2023

De Novo Experience of Individuals with Li-Fraumeni Syndrome: Sometimes the people in your family are never going to be the ones who understand best

Background/Objectives: Li-Fraumeni Syndrome (LFS) is a rare hereditary cancer predisposition syndrome characterized by high lifetime risks for multiple primary malignancies. Although most individuals with LFS inherit a pathogenic TP53 variant from a parent, approximately 20% have de novo variants with no suggestive family cancer history. This may result in an LFS experience distinct from individuals with affected relatives. This multi-case study report examines the unique psychosocial experiences of three young adults with de novo TP53 variants. Method(s): The National Cancer Institute's LFS study (NCT01443468) recruited adolescents and young adults (AYAs;aged 15-39 years) with LFS for qualitative interviews. Three participants had a de novo TP53 variant and a personal cancer history. An interprofessional team analyzed interview data using extended case study and narrative methods. Result(s): De novo participants lacked familiarity with LFS to situate a cancer diagnosis, interpret genetic test results, or adjust to chronic cancer risk. Communicating with and receiving support from family was challenged by their lack of common experience. De novo participants experienced socioemotional isolation, which was amplified during the COVID-19 pandemic. To cope, they sought support in online rare disease communities or through mental health providers. Conclusion(s): Individuals with de novo variants may lack familial guides and familiar providers to address disease management and uncertainty. Specialty health and mental health providers may support de novo patients across hereditary cancer syndromes by validating their uncertainties and connecting them with diseasespecific patient advocacy groups that support adjustment to chronic cancer risk.

Supplier selection framework to evade pseudo-resilience and to achieve sustainability in supply chains

PurposeDue to increasing uncertainty in the global business scenario, research on supply chain resilience is gaining significance. The outbreak of the COVID-19 pandemic has accelerated and magnified the issues already pertaining in the supply chain thereby increasing the vulnerabilities in the network. This study attempts to build the concept of pseudo-resilience in supplier selection and evaluation for supply chain sustainability.Design/methodology/approachA combination of multi-criteria decision-making methods AHP and R is adopted, and an integrated method called Combined AHP–R method is used to identify and include the property of pseudo-resilience into supplier selection processes.FindingsThe authors identified various factors contributing to pseudo-resilience considering supplier selection process and found the most important attribute. Using the combined AHP–R method, the suppliers were evaluated, considering the attributes contributing to the pseudo-resilience of supply chains and best supplier was selected.Originality/valueTo the best of our knowledge, this is the first study addressing a supplier selection problem for sustainable supply chains, considering pseudo-resilience. Also, this is the first study to apply the AHP–R method for supplier selection in the resilience or sustainability context.

Social insecurity and varieties of family resilience strategies during the COVID-19 pandemic

PurposeThis study is aimed at developing an understanding of the consequences of the pandemic on families' socioeconomic resilience, and the strategies adopted by the families in overcoming social vulnerabilities amid uncertainty.Design/methodology/approachThe materials for this study consist of semi-structured interviews with 21 families spread across the South Sumatra Province, Indonesia. Families in the study represent four different income levels, namely very high, high, middle and low, and who also work in the informal sector. Each family has at least 1 or more members who fall into the vulnerable category (children, the elderly, people with disabilities unemployed or having potential economic vulnerability).FindingsTwo main findings are outlined. Regardless of their socioeconomic status, many of the families analyzed adopted similar strategies to remain resilient. Among the strategies are classifying the urgency of purchasing consumer goods based on financial capacity rather than needs, leveraging digital economic opportunities as alternative sources of income, utilizing more extensive informal networks and going into debt. Another interesting finding shows that the pandemic, to some extent, has saved poor families from social insecurity. This is supported by evidence showing that social distancing measures during the pandemic have reduced the intensity of sociocultural activities, which require invited community members to contribute financially. The reduction of sociocultural activities in the community has provided more potential savings for the poor.Research limitations/implicationsIn this study, informants who provided information about their family conditions represent a major segment of the workforce and tend to be technologically savvy and younger, due to the use of Zoom as a platform for conducting interviews. Therefore, there may be a bias in the results. Another limitation is that since the interviewees were recommended by our social network in the fields, there is a risk of a distorted selection of participants.Originality/valueThis study offers insights that are critical in helping to analyze family patterns in developing countries in mitigating the risks and uncertainties caused by COVID-19. In addition, the literature on social policy and development could benefit from further research on COVID-19 as an alternative driver to identify mechanisms that could bring about change that would result in "security.” Critical questions and limitations of this study are presented at the end of the paper to be responded to as future research agenda.

Could Cryptocurrency Policy Uncertainty Facilitate US Carbon Neutrality?

Investigating the essential impact of the cryptocurrency market on carbon emissions is significant for the U.S. to realize carbon neutrality. This exploration employs low-frequency vector auto-regression (LF-VAR) and mixed-frequency VAR (MF-VAR) models to capture the complicated interrelationship between cryptocurrency policy uncertainty (CPU) and carbon emission (CE) and to answer the question of whether cryptocurrency policy uncertainty could facilitate U.S. carbon neutrality. By comparison, the MF-VAR model possesses a higher explanatory power than the LF-VAR model;the former's impulse response indicates a negative CPU effect on CE, suggesting that cryptocurrency policy uncertainty is a promoter for the U.S. to realize the goal of carbon neutrality. In turn, CE positively impacts CPU, revealing that mass carbon emissions would raise public and national concerns about the environmental damages caused by cryptocurrency transactions and mining. Furthermore, CPU also has a mediation effect on CE;that is, CPU could affect CE through the oil price (OP). In the context of a more uncertain cryptocurrency market, valuable insights for the U.S. could be offered to realize carbon neutrality by reducing the traditional energy consumption and carbon emissions of cryptocurrency trading and mining.

Managing Uncertainties in Human Resource Management during the COVID-19 Pandemic

This study aimed at providing information to help HR practitioners understand the uncertainties caused by COVID-19 by addressing questions on what certainties are faced by HR practitioners in the education sector;what factors are seen as stressors, what characteristics need to be developed, and what solutions are proposed to overcome uncertainties in this pandemic of COVID-19. This qualitative study used a cross-sectional survey design. Electronic questionnaires were employed to collect qualitative data from 40 respondents based on purposive sampling. The study reveals that there are various types of uncertainties faced by HR managers or practitioners, ranging from organization operation to the ability to predict employees' plans and actions. The main stressor during the pandemic is employees' safety perceptions of threats and risk of COVID-19 transmission. Others are the drastic change in the way of work and job insecurity and lack of valid information about COVID-19. Resilience, tolerance, and curiosity are the qualities that need to be developed by HR managers or practitioners. To overcome the uncertainties, HR Managers and practitioners could provide training on technology and competency development as the best strategy to overcome the uncertainties. Optimizing channels of communication, preparing transparency plans, providing facilities to support teleworking management, and arranging of work flexibility policy are alter strategies. [ FROM AUTHOR] Copyright of International Journal of Multidisciplinary: Applied Business & Education Research is the property of Future Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Digital Banking through the Uncertain COVID Period: A Panel Data Study

This research investigates how the uncertainty caused by the COVID-19 pandemic has affected digital banking usage in India. The study is made by utilizing a panel of data consisting of 108 firm-month observations during covid period from 2020 to 2022, with data mainly collected to analyze the impact of COVID-19 uncertainty. Most of the determinants were collected from the RBI data website. The main emphasis of this study is on the utilization of digital banking services in the context of the pandemic, and the research assesses the factors that have influenced this trend, including the number of physical bank branches, the utilization of debit and credit cards at automated teller machines (ATMs) and points of sale (PoS), as well as the level of economic policy uncertainty (EPU). The analysis was conducted using panel regression analysis, a suitable method for handling the error components in the model that are either fixed or random. The findings indicate that the uncertainty caused by the pandemic has had a negative impact on the use of digital banking services. Additionally, the study highlights that the usage of debit and credit cards at PoS has significantly contributed to promoting the progress of digital banking services during the pandemic. Overall, this study provides valuable insights into how digital banking services have evolved during a period of significant uncertainty and disruption. © 2023 by the authors.

In Theory: Nine Degrees of Uncertainty in Negotiations

Joint decision-making processes such as negotiations play a vital role in diverse societal contexts spanning from business and politics to sustainability-related negotiations. One of the most prominent examples of how negotiations play an important role in overcoming societal challenges was the COVID-19 vaccine supply negotiations. These negotiations have put the spotlight on an aspect of joint decision-making that always has been of great interest to both negotiation researchers and practitioners yet remains empirically understudied- the effect of uncertainty. In the present article, we develop a framework of uncertainty in negotiation using the COVID-19 vaccine supply negotiations between the European Union and pharmaceutical companies as an example. More specifically, we categorize different kinds of uncertainty based both on mathematical considerations (i.e., differentiation between risk, ambiguity, and uncertainty) as well as on more circumstantial factors. To do so, we adapted the nine kinds of uncertainty in environmental governance proposed by Dewulf and Biesbroek to the more general context of negotiations. We first differentiate between three natures of uncertainty (i.e., lack of knowledge, unpredictability, and interpretations) and three objects of uncertainty (i.e., issue- based, strategy- based, and context- based). Second, we illustrate the psychological barriers that negotiators face when handling uncertainty, before concluding with proposals for practitioners on how to manage different kinds of uncertainty. Overall, we aim at stimulating investigations of the effects of uncertainty in mixed- motive decision- making while simultaneously helping negotiation teachers and practitioners better cope with the additional demands created by specific kinds of uncertainty.

Pandemics and Cryptocoins

This study examines the effect of pandemic-induced uncertainty on cryptocoins (Bitcoin, Ethereum and Ripple). It employs Westerlund and Narayan (2012, 2015) predictive model to examine the predictability of pandemic-induced uncertainty and our model's forecast performance. We examine the role of asymmetry in uncertainty and the sensitivity of our results to Salisu and Akanni (2020) recently developed Global Fear Index. Cryptocoins acts as hedge against uncertainty due to pandemics, albeit with reduced hedging effectiveness in the COVID-19 period. Accounting for asymmetry improves predictability and model forecast performance. Our results may be sensitive to the choice of measure of pandemic-induced uncertainty.

The Roles of Academic Self-Efficacy and Intolerance of Uncertainty on Decisional Procrastination in University Students during the COVID-19 Pandemic

Decisional procrastination has been one of the main phenomena analysed in university students, together with self-efficacy, during the COVID-19 pandemic. We examined the roles of academic self-efficacy and intolerance of uncertainty on decisional procrastination in 318 Italian university students. Furthermore, the mediating role of the intolerance of uncertainty on the relationships between academic self-efficacy and decisional procrastination was explored. The Academic Self-Efficacy Scale, the Decisional Procrastination Scale, and the Intolerance of Uncertainty Scale were used. Results: Decisional procrastination was predicted by the components of academic self-efficacy and the intolerance of uncertainty (prospective and inhibitory intolerance). Furthermore, the mediating role of the prospective intolerance of uncertainty was confirmed in the relationship between self-efficacy (self-engagement and self-oriented decision-making) and decisional procrastination. Conclusions: This study adds new evidence to findings in the analysis of the role of the intolerance of uncertainty in mitigating the relationships between the self-efficacy of students in the academic context and their tendency to procrastinate in decision-making processes, which has been poorly investigated to date by scholars in this research field. Future research will deal with a specific situation of procrastinating behaviours, such as the completion of a master's thesis or the respect for the deadline of an article's submission. © 2023 by the authors.

COVID-19, uncertainty and acceleration of innovation

The aim of this Special Issue is to review and discuss, through practical examples from different countries, the rapid and effective responses of industries, societies and governments to the high level of uncertainty and risks created by the COVID-19 pandemic. This unprecedented health crisis has pushed managers, scientists, policy makers and many other social, economic and health actors to think ‘out of the box' and provide quick solutions by reducing the process of innovation, introducing new business models and new ways of ‘doing things' in many areas such as medicine, finance, retailing, communication, teaching, supply chains and sustainable development. This Special Issue also highlights the importance of holistic approach and collaboration between different disciplines and stakeholders.

Marginal Cost of Energy Volatility in the Brazilian Interconnected Power System

From 2018 to 2022, on average, 70% of the Brazilian effective electric generation was produced by hydropower, 10% by wind power, and 20% by thermal power plants. Over the last five years, Brazil suffered from a series of severe droughts. As a result, hydropower generation was reduced, but demand growth was also declined as results of the COVID-19 pandemic and economic recession. From 2012 to 2022, the Brazilian reservoir system operated with, on average, only 40% of the active storage, but storage recovered to normal levels in the first three months of 2022. Despite large capacity of storage reservoirs, high volatility of the marginal cost of energy was observed in recent years. In this paper, we used two optimization models, NEWAVE and HIDROTERM for our study. These two models were previously developed for mid-range planning of the operation of the Brazilian interconnected power system. We used these two models to optimize the operation and compared the results with observed operational records for the period of 2018-2022. NEWAVE is a stochastic dual dynamic programming model which aggregates the system into four subsystems and 12 equivalent reservoirs. HIDROTERM is a nonlinear programming model that considers each of the 167 individual hydropower plants of the system. The main purposes of the comparison are to assess cooperation opportunities with the use of both models and better understand the impacts of increasing uncertainties, seasonality of inflows and winds, demand forecasts, decisions about storage in reservoirs, and thermal production on energy prices. © World Environmental and Water Resources Congress 2023.All rights reserved

Lead the African way!

PurposeCountries in Africa have undergone an unprecedented transformation that has shaped the continent as they move ahead from the clutches of colonialism. The evolution of leadership and how organisations function optimally has given rise to the review of leadership approaches and practices, revolutionising its position in the global markets. With the recent spate of global suffering from the pandemic, the formal and traditional work structures are becoming transient. At the same time, the economic consequences of the Russo-Ukrainian crisis have catastrophic effects globally.Design/methodology/approachThe research was conducted via a systematic review of scientific sources from various academic websites. Eligibility criteria were defined with the agreement of pertinent themes and concepts.FindingsBy evaluating and analysing characteristics and success indicators from the blend of leadership competencies ascertained from Afrocentric principles in response to African associated problems, Africa can cement its leadership concepts without following the global north principles. These philosophies are resilient enough to contend with a range of VUCA (volatility, uncertainty, complexity and ambiguity) complexities, including the impact of the recent global pandemic of immeasurable proportions and the prospect of war as the Russo-Ukrainian conflict intensifies.Originality/valueWithin the African environment, there is a greater focus on the human element in shared values, holistic well-being, cooperation and experience. The global community band together to deal with these complexities. This is a typical example of global connectedness with positive and negative connotations.

Ethical moments and institutional expertise in UK Government COVID-19 pandemic policy responses: where, when and how is ethical advice sought?

Background:The emergency response to the COVID-19 pandemic has required a rapid acceleration of policy decision making, and raised a wide range of ethical issues worldwide, ranging from vaccine prioritisation, welfare and public health ‘trade-offs', inequalities in policy impacts, and the legitimacy of scientific expertise.Aims and objectives:This paper explores the legacy of the pandemic for future science-advice-policy relationships by investigating how the UK government's engagement with ethical advice is organised institutionally. We provide an analysis of some key ethical moments in the UK Government response to the pandemic, and institutions and national frameworks which exist to provide ethical advice on policy strategies.Methods:We draw on literature review, documentary analysis of scientific advisory group reports, and a stakeholder workshop with government ethics advisors and researchers in England.Findings:We identify how particular types of ethical advice and expertise are sought to support decision making. Contrary to a prominent assumption in the extensive literature on ‘governing by expertise', ethical decisions in times of crisis are highly contingent.Discussion and conclusions:The paper raises an important set of questions for how best to equip policymakers to navigate decisions about values in situations characterised by knowledge deficits, complexity and uncertainty. We conclude that a clearer pathway is needed between advisory institutions and decision makers to ensure ethically-informed debate.

Economic policy uncertainty and international tourist arrivals: a disaggregated analysis of the Croatian Adriatic coast

This is the first study to examine the differential impact of Croatian and European economic policy uncertainty indices while controlling for the real effective exchange rate and industrial production on international tourist arrivals for the seven coastal counties of Croatia and the country as a whole. The Toda-Yamamoto long-run causality modeling approach with a Fourier approximation is employed to capture structural shifts. This approach is particularly useful in light of the disruption from the COVID-19 pandemic on the tourism sector. The results show unidirectional causality from both Croatian and European economic policy uncertainty indices to international tourist arrivals with the impact of the economic policy uncertainty indices negative and statistically significant across the respective coastal counties. Moreover, the findings show that European economic policy uncertainty exhibits a greater adverse impact on international tourist arrivals relative to Croatian economic policy uncertainty.

Recreational travel behavior and COVID-19: insights from expected utility and the theory of planned behavior

Understanding what factors play a role in people's decisions to travel during a pandemic is important to public health officials and to stakeholders in the travel and tourism industry in the United States (US) and worldwide. This study examines factors influencing people's decisions to cancel/postpone recreational travel within the US amidst the COVID-19 pandemic. Our conceptual framework extends the Expected Utility model, commonly used in economics to model decisions under risk and uncertainty, to incorporate subjective norms and perceived behavioral control from the Theory of Planned Behavior. Our results suggest that risk perceptions, subjective norms, and concerns over transmitting COVID-19 to others play a significant role in the decision to cancel and postpone recreational travel. Results also suggest that perceived behavioral control may be less relevant to travel decisions when traveling involves elevated health risks.

A Comparative Study of Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps on Covid Variants

The pandemic situation created by COVID'19 is ridiculous. It has made even the blood relations hide themselves from the infected person. The whole world was stunned by this situation. This is because of the uncertainty in the way in which this disease is spread. As an advancement of this disease, a few other variants like delta, omicron etc. also got spread. It is essential to find a solution to this situation. The variants Omicron and Delta are taken into consideration here. Though both the vibrant colours look alike, the symptoms and prevention methods changes for each of these vibrants. This work aims to make a study of the parameters responsible for these variants. As a result of this study, the parameters involved in the spread of these diseases are identified, and the prevention parameters are concluded. The major benefit of this comparatively study is to identify the parameters that are inconclusive, applying the concepts of fuzzy cognitive maps and neutrosophic cognitive maps is applied to bring out the result © 2023, Neutrosophic Sets and Systems.All Rights Reserved.