Digital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients

The deadly coronavirus disease (COVID-19) has highlighted the importance of remote health monitoring (RHM). The digital-twins (DTs) paradigm enables RHM by creating a virtual replica that receives data from the physical asset, representing its real-world behavior. However, DTs use passive Internet of Things (IoT) sensors, which limit their potential to a specific location or entity. This problem can be addressed by using the Internet of Robotic Things (IoRT), which combines robotics and IoT, allowing the robotic things (RTs) to navigate in a particular environment and connect to IoT devices in the vicinity. Implementing DTs in IoRT, creates a virtual replica [virtual twin (VT)] that receives real-time data from the physical RT [physical twin (PT)] to mirror its status. However, DTs require a user interface for real-time interaction and visualization. Virtual reality (VR) can be used as an interface due to its natural ability to visualize and interact with DTs. This research proposes a real-time system for RHM of COVID-19 patients using the DTs-based IoRT and VR-based user interface. It also presents and evaluates robot navigation performance, which is vital for remote monitoring. The VT operates the PT in the real environment (RE), which collects data from the patient-mounted sensors and transmits it to the control service to visualize in VR for medical examination. The system prevents direct interaction of medical staff with contaminated patients, protecting them from infection and stress. The experimental results verify the monitoring data quality (accuracy, completeness, and timeliness) and high accuracy of PT's navigation.- Qatar National Library - Qatar University Internal Gran

Evaluation of stress and its clinical correlation among the students of Allied Health Sciences

Background: Stress is a key indicator affecting the psychological and physical health of students throughout the world. The current study was planned to find out depression, stress, and anxiety and their impact on obesity and different clinical markers among the students of Allied Health Sciences.Methods: To assess stress, anxiety, and depression levels; the Depression, Anxiety, and Stress Scale (DASS- 21) was utilized. A total of 1446 individuals participated in the current research project. After assessing the BMI of students, a blood sample of two hundred and two (202) obese students were collected. Spectrophotometry, latex agglutination, and flow cytometry were employed to determine the different clinical markers.Results: Stress was found in 63.10% population, while depression was 59.70% and the prevalence of anxiety was 61.90%. After analysis of the blood samples of students, a significant increase was seen in cholesterol and HDL, while VLDL was moderately decreased. LDL, triglycerides, and CBC showed no significant change. Random blood glucose was normal, and CRP was also found negative in all the participants. There was no significant correlation between serum lipid profile and CBC parameters during stress, anxiety, and depression in students.Conclusion: A significant stress level was found among the students of Allied Health Sciences. It is a dire need of time to be focused on the mental health of students. Psychological counseling should be provided in the institutes for the mental well-being of the students.Keywords: Stress, Depression, Anxiety, Dass-21, Health sciences students     

Comparison of nutrients uptake in different varieties of rice in Pakistan

The objective of this research was to determine the uptake of different elements (K, Mg, Ca, Na, Fe, Co, Mn, Pb, Cu, Zn and Ni) which are used as nutrients by the rice crop. Different types of rice seeds KSK-282, KSK-134, BAS-515, IR6, BAS-2000, KSK-133 and super-BAS were collected from National Agricultural Research Centre (NARC) Islamabad Pakistan and grown in different plastic pots containing soil under the same condition. Ten days old immature plants of different varieties of rice were dried and their roots were separated from the whole plants. The dried roots were ground into fine powder followed by acid digestion (HNO , H SO and 3 2 4 HClO ) solution in a ratio of (5:1:0.1) individually. After digestion the solutions were filtered and the filtrates 4 were diluted by adding distilled water. The diluted solutions of all the above mentioned varieties of rice were analyzed by Atomic Absorption Spectrophotometer (AAS) for nutrients (K, Mg, Ca, Na, Fe, Co, Mn, Pb, Cu, Zn and Ni) concentration. The different values obtained from AAS had shown that some rice varieties had taken up nutrients (elements) in large amount (e.g., KSK-134 had taken up maximum Fe while KSK-133 had taken up minimum) as compared to other varieties. Similarly, several verities absorbed comparatively minimum concentration of elements. The results obtained in this research work clearly indicated that the absorption of these elements from the soil was dependent on the rice variety (e.g., BAS-2000 absorbed maximum Mg while minimum Super-BAS). Interestingly most of the rice vaities had absorbed the beneficial elements in large quantity as compared to other toxic elements

Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach

Abstract: Please refer to full text to view abstrac

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BACKGROUND: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. METHODS: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING: Bill & Melinda Gates Foundation

التفاؤل والتشاؤم في أدب العصرالجاهلي والعصرالإسلامي (دراسة موازنة): Optimism and pessimism in the literature of the pre-Islamic era and the Islamic era (A Comparative study)

There are two types of people: a desperate pessimist who faces the challenges of life with defeat, flight and surrender, and an optimistic hopeful who faces them with patience and struggle, courage and daring, and confidence in victory. And many manifestations of mental illness. Optimists live a stable life together, expect goodness, look at events and situations with moderation and balance, and search for opportunities more than they search for problems. Optimism is needed by the average individual as well as needed by leaders and messengers. The Arabs used to have pessimism and superstition, and they expected evil when they saw material manifestations, which they interpreted as such, when someone saw a black bird, for example, or when a man with a disability and illness greeted him, or when the bird headed to the north..., those beliefs that may have diverted a person from his travel , or about a need from its needs. Islam came and nullified these manifestations. Therefore, this research sheds light on optimism and pessimism in the literature of the pre-Islamic and Islamic era (the beginning of Islam and the Umayyads). Key words: desperate, pessimist, challenges, surrender, manifestation

A Synopsis of Perspectives on (United Nations) Peace Operations from Theories of International Relations

The post-Cold War era witnessed a significant increase in the size and scope of peace operations. However, the role and purpose of peace operations have not received commensurate attention within the intellectual context of theories of international relations. Comprehension of theoretical foundations of international relations is quintessential in understanding the motives behind and implications of third-party intervention in the quest for viable peace. This paper presents a synopsis of major theoretical paradigms in world politics with particular emphasis on their understanding of and implications for contemporary peace operations. The paper strives to delineate the central planks of a particular theoretical paradigm with special reference to the underpinnings of peace operations. Towards the end, the prospect of training peacekeepers to bridge the theory and practice of peace operations has been explored. The research findings shall fill a theoretical gap in peace operations studies and decipher the theoretical basis of the acerbic arguments against peace operations espoused by the obstructionists to the peace processes

تعقبات الشيخ الإثيوبي العلمية لأهل العلم في كتابه "إتحاف الطالب الأحوذى" 1- )دراسة نقدية)

Al-Sheikh Athioubi (R.A) is one of those great Islamic scholars who commented on and corrected the quotes and sayings of great Hadith scholars. He has written a comprehensive and detailed commentary on the books of hadiths, including the "Ithaaf Ul Talib Al-Ahuzi." In this book, he pursued the opinions of various scholars, in which there were weaknesses and a lack of arguments for their opinions. He had a unique methodology for his critical analysis of these scholars, such as quoting their sayings and studying them in depth. If he found any defects in these sayings, he tried to show them and brought the correct statement about these defections. So it is crucial to elaborate on his methodology, like what the basis is for him to critique others. Here one can find in his approach attributional issues to judge the Hadith, the connection and disconnection in the attribution, errors in the name of the narrator, and issues related to Islamic Fiqh and Jurisprudence. This research paper will try to explain and critically analyze the major points in the methodology of Al-Athioubi