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Purpose: The emotion regulation research has drawn considerable attention from academicians and scholars in the contemporary world. As a result, the publications that are specifically dedicated to emotion regulation research are rapidly escalating. Therefore, this study aims to conduct a bibliometric analysis of research articles that have been published in the field of "emotion regulation.” The study primarily examines the growth and development of scholarly publications, seminal studies, influential authors, productive journals, research production and collaboration among countries, emerging research themes, research hotspots and thematic evolution of emotion regulation research. Design/methodology/approach: The Web of Science Core Collection database was used to gather the study's data, which was then analysed using VOSviewer and Bibliometrix, Biblioshiney open-source package of the R language environment. Findings: The study's results reveal that the research on emotion regulation has grown significantly over the last three decades. Notably, Emotion and Frontiers in Psychology are the most dominant and productive journals in the field of emotion regulation research. The most prominent author in the area of emotion regulation is identified as James Gross, followed by Gratz, Wang and Tull. The USA is at the forefront of research on emotion regulation and has collaborated with most of the developed countries like Germany, England and Canada. The keyword analysis revealed that the most potential research areas in the field of emotion regulation are functional magnetic resonance imaging, amygdala, post-traumatic stress disorder, borderline personality disorder, alexithymia, emotion dysregulation, depression, anxiety, functional connectivity, neuroimaging, mindfulness, self-regulation, resilience and coping. The thematic evolution reflects that the research on emotion regulation has recently focused on issues including Covid-19, non-suicidal self-injury, psychological distress, intimate partner violence and mental health. Originality/value: The results of this study highlighted the current knowledge gaps in emotion regulation research and suggested areas for further investigation. The present study could be useful for researchers, academicians, planners, publishers and universities engaged in emotion regulation research. © 2023, Emerald Publishing Limited.
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PURPOSE: Acute pituitary referrals to neurosurgical services frequently necessitate emergency care. Yet, a detailed characterisation of pituitary emergency referral patterns, including how they may change prospectively is lacking. This study aims to evaluate historical and current pituitary referral patterns and utilise state-of-the-art machine learning tools to predict future service use. METHODS: A data-driven analysis was performed using all available electronic neurosurgical referrals (2014-2021) to the busiest U.K. pituitary centre. Pituitary referrals were characterised and volumes were predicted using an auto-regressive moving average model with a preceding seasonal and trend decomposition using Loess step (STL-ARIMA), compared against a Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) algorithm, Prophet and two standard baseline forecasting models. Median absolute, and median percentage error scoring metrics with cross-validation were employed to evaluate algorithm performance. RESULTS: 462 of 36,224 emergency referrals were included (referring centres = 48; mean patient age = 56.7 years, female:male = 0.49:0.51). Emergency medicine and endocrinology accounted for the majority of referrals (67%). The most common presentations were headache (47%) and visual field deficits (32%). Lesions mainly comprised tumours or haemorrhage (85%) and involved the pituitary gland or fossa (70%). The STL-ARIMA pipeline outperformed CNN-LSTM, Prophet and baseline algorithms across scoring metrics, with standard accuracy being achieved for yearly predictions. Referral volumes significantly increased from the start of data collection with future projected increases (p < 0.001) and did not significantly reduce during the COVID-19 pandemic. CONCLUSION: This work is the first to employ large-scale data and machine learning to describe and predict acute pituitary referral volumes, estimate future service demands, explore the impact of system stressors (e.g. COVID pandemic), and highlight areas for service improvement.
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COVID-19 , Pituitary Diseases , Humans , Male , Female , Middle Aged , Pandemics , Machine Learning , Referral and Consultation , Pituitary Diseases/epidemiology , Pituitary Diseases/therapy , Pituitary GlandABSTRACT
The Coronavirus disease (COVID-19) most likely began in an animal species and subsequently transmitted to humans in Wuhan, China, a city of 11 million people, on December 29, 2019, when the first case was recorded. The Coronavirus then transmitted from person to person by infected droplets from a sick person's coughing, sneezing, or contaminated hands. Hence, the purpose of the study is to see the impact of the outbreak of COVID-19 daily tests on the Pakistani rupee against the US dollar exchange rate using Vector Autoregressive approach. The data is gathered from February 26, 2020 to March, 2021. This period was selected, because the pandemic expanded, and the first case was observed in Pakistan on Feb 26th 2020. To verify this effect, a Vector Autoregressive Model was developed. A generalized version of the Autoregressive Model is a Vector Autoregressive (VAR) model. As a result of the COVID-19 pandemic, the Pakistani rupee devalued against the US dollar throughout the abovementioned period. When analyzing the Pakistani rupee vs. the US dollar exchange rate using a Vector Autoregressive Model, the values of the lags (1, 4, 6, and 7) of the explanatory variable have a significant impact. Besides, under the VAR model, the IRF (Impulse Response Function) asserted the actual impact of the daily COVID-19 tests, as well as Decomposition of Variance was shown to provide for the daily COVID-19 tests just a small part in understanding the volatility of the Pakistani rupee against the US dollar exchange rate. The Granger Causality suggests that the short-term and long-term changes in the Pakistani rupee against the US dollar exchange rate are caused by daily COVID-19 tests. Copyright © 2022 Akhtar, Abiad, Mashwani, Aamir, Naeem and Khan.
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The outbreak of Coronavirus/COVID-19 pandemic is no doubt the greatest worldwide challenge at this point of time. After its discovery in China in late 2019, the virus spreads fiercely through various social transmissions, causing more than 60 million confirmed cases and close to 1.9 million deaths by early 2021. On 11th March 2020, the WHO went on to declare the onset of COVID-19 pandemic. To lessen societal pressure and restore normalcy, many countries committed to vaccination have introduced the COVID-19 immunity passports, certificates, or licenses, collectively called the COVID-19 immunity certificate. This is to legally certify that the certificate bearer has been vaccinated and is immune to COVID-19. However, there exists several practical and legal obstacles to efficiently track/trace the certificates. Matter of fact, this kind of certificate is to impose restrictions on who can and who cannot participate in an official social activity. This has regrettably promoted the fabrication of the certificate and is casting doubt on the vaccination integrity. In this paper, we thus propose a novel blockchain-based system for establishing trust on the certificate bearer and to eradicate vaccination immunity certificate fraud. Our proposed system is aimed to address the issues in trackability, and traceability of the data embedded in the immunity certificate. This is to uphold the trust on the certificate bearer/holder that all necessary precautions pertaining to COVID-19 vaccination have been legally obeyed and complied with. The system can track the origin of the COVID-19 immunity certificate and monitor the vaccines process flow at each step of its manufacturing and its associated chain of distribution. © 2022 IEEE.
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Introduction COVID 19 (SARS 2 virus) was first isolated in China in December 2019 from the specimen of patients presented with lower respiratory tract infection. It was declared a global pandemic on March 11, 2020. Coronavirus disease 2019 infected patients can presents with different dermatological manifestations even in some cases;the dermatological manifestation may be the only presenting complaints of the patients. Objective To find dermatological manifestations in patients infected with COVID 19 virus. Methods After getting ethical approval from the hospital ethical and research committee, all the tested positive for SARS 2 virus were included in the study. Strict precautionary measures were taken according to the WHO guidelines. Patients having any chronic dermatological disease in the past or having more than two weeks duration of any dermatological illness were excluded. Photographs were taken from the patients having any dermatological manifestations. These photographs were then shared with the consultant dermatologists of the unit by hiding the course of clinical illness of the patients. The expert opinion of the consultant was considered as the final one. Results Mean age was 41,53 years±1.6008E1 (3 months to 85 years) with 160 males (65.6%) and 84 females (34.4%). Pseudo chilblains, maculopapular rash, vesicular rash, and urticarial rash were noted in 13.9%, 15.6%, 4.9%, and 7%, respectively. Oral cavity erythema, ulcers, and erosions were noted in 25%, 11.9%, and 14.3% of patients. Based on gender, the p-value was significant for maculopapular rash (p=0.02) and oral petechiae (p=0.04), while based on age, the p-value was significant for urticarial rash (p=0.01) and vesicular rash (p=0.03). Conclusion COVID 19 is a severe form of viral illness with a fatal outcome. Dermatological manifestations may sometimes be the sole presenting complaints of the patients.
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Background: Thousands of people in the UK have required end-of-life care in the community during the COVID-19 pandemic. Primary healthcare teams (general practice and community nursing services) have provided the majority of this care, alongside specialist colleagues. There is a need to learn from this experience in order to inform future service delivery and planning. Aim: To understand the views of general practitioners and community nurses providing end-of-life care during the first wave of the COVID-19 pandemic. Methods: A web-based, UK-wide questionnaire survey circulated via professional general practice and community nursing networks during September and October 2020. Responses were analysed using descriptive statistics and an inductive thematic analysis. Results: Valid responses were received from 559 individuals (387 community nurses, 156 General Practitioners (GPs) and 16 unspecified role), from all regions of the UK. The majority reported increased involvement in providing community end-of-life care. Contrasting and potentially conflicting roles emerged between GPs and community nurses. There was increased use of remote consultations, particularly by GPs. Community nurses took greater responsibility in most aspects of end-oflife care practice, particularly face-to-face care, but reported feeling isolated. For some GPs and community nurses, there has been considerable emotional distress. Conclusion: Primary healthcare services are playing a critical role in meeting increased need for end-of-life care in the community during the COVID-19 pandemic. They have adapted rapidly, but the significant emotional impact, especially for community nurses, needs addressing alongside rebuilding trusting and supportive team dynamics.
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Context: Since the end of 2019, the COVID-19 pandemic had a worst impact on world's economy, healthcare, and education. There are several aspects where the impact of COVID-19 could be visualized. Among these, one aspect is the productivity of researcher, which plays a significant role in the success of an organization. Problem: There are several factors that could be aligned with the researcher's productivity of each domain and whose analysis through researcher's feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an organization. Method: We perform an empirical study to investigate the substantial impact of COVID-19 on the productivity of researchers by analyzing the relevant factors through their perceptions. Our study aims to find out the impact of COVID-19 on the researcher's productivity that are working in different fields. In this study, we conduct a questionnaire-based analysis, which included feedback of 152 researchers of certain domains. These researchers are currently involved in different research activities. Subsequently, we perform a statistical analysis to analyze the collected responses and report the findings. Findings: The results indicate the substantial impact of COVID-19 pandemics on the researcher's productivity in terms of mental disturbance, lack of regular meetings, and field visits for the collection of primary data. Conclusion: Finally, it is concluded that researcher's daily or weekly meetings with their supervisors and colleagues are necessary to keep them more productive in task completion. These findings would help the decision makers of an organization in the settlement of their plan for the success of an organization.
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Background: As of October 1, 2020, World Health Organization (WHO) reports that COVID-19 has spread in 216 countries or territories or areas which results into throwing billions of lives under lockdown as healthcare services struggle to cope. Therefore, timely access to healthcare information during COVID-19 crisis is mandatory to restrain its spread. Objectives: To comprehend the information needs and seeking behaviour of general public during COVID-19 outbreak in India. Methods: A national survey through an online questionnaire was conducted in India and 1310 respondents participated in the study through snowball sampling technique. Results: The most decisive information needs of majority of respondents were COVID-19 signs and symptoms, causes and treatments of illness, prevention and control of COVID-19. Conspicuously, news websites, dedicated websites of coronavirus and medical staff were the most preferred and trustworthy sources of information related to COVID-19. Furthermore, credibility or authenticity of information was identified as the major problem in seeking COVID- 19 information. Conclusion: The study’s findings provide insight into the spectrum of health information seeking among general public in India during COVID-19 outbreak. This study may be useful to social welfare and government health departments, hospitals, and health-information communicators engaged in public safety and well-being in India.
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Recently, the life in Earth becomes turbulent with the worldwide spread of novel coronavirus (COVID-19). This outbreak has been declared as a public health emergency in the level of international concern by world health organization (WHO). To reduce the spread of COVID19 entire world has adopted social distancing, where working and learning from home is the new normal for this new world. To sustain the economical revenue and business growth companies that radically move into cloud infrastructure to support employees, who work remotely. With the unprecedented growth of cloud, data breaches and cyber security takes a huge leap. Apart from big cloud vendor small cloud startups are getting huge leap currently. Starting from enterprise solution providers, cloud supports in education, e-commerce, and healthcare also. Hackers penetrating not only the cloud resources it also hampers the hosts and device connected with it. This paper discovers several security challenges due to the sudden use of cloud platforms without adequate precautions. The aim of this paper is to highlight these areas causing security breaches and propose generic preventive measures.. © 2020 IEEE.