Physical Sciences Research Articles

(Invited) On the Definition of Velocity in Statistically Accurate, Discrete-Time Simulations of Thermodynamics

One of the most basic struggles in simulations of statistical and dynamical systems is how to appropriately balance the desire for simulation accuracy, obtained in the small time step limit, with simulation efficiency, obtained for large time steps. Obviously, we would like to have the benefits of both limits of accuracy and efficiency. Thus, understanding the influence of discrete time on the behavior of equations of motion is crucial for the understanding and optimization of numerical simulations in physical science and engineering. There are two different types of crucial discretization errors. One is that the simulated, discrete-time trajectory increasingly deviates from the true, continuous-time trajectory as the time step is increased. Another is that the simulated discrete-time velocity increasingly deviates from the expected velocity of the corresponding simulated trajectory as the time step is increased. While the former error is a signature that the simulated trajectory is not exactly the intended one, the simulation may still be representative of the true system. In contrast, the latter error is a signature of a fundamental internal inconsistency in the simulation, which may greatly complicate physical interpretation of the simulation results, especially when both configurational and kinetic measures are required. It is therefore crucially important to understand the relationship between a discrete-time coordinate and its corresponding velocity.It has previously been shown that, unlike in continuous-time, discrete-time configurational dynamics does not need a discrete-time velocity variable. This realization allowed for the derivation of the complete configurational GJ set of stochastic Verlet-type algorithms for simulating the Langevin equation. This set has the key feature of simultaneously giving exact, time-step independent statistical sampling of damped, noisy harmonic oscillators, and giving exact spatial transport values, drift and Einstein diffusion, on flat surfaces. The apparent fact that a discrete-time velocity is not required to simulate a coordinate trajectory implies that discrete-time velocity is an ambiguous concept, which, in turn, implies that multiple velocity definitions can be entertained in order to avoid internal simulation inconsistencies between configurational and kinetic measures. From the derivation of the stochastic GJ methods it was shown that a statistically correct velocity obtained at the same time as the coordinate (an on-site velocity) cannot be obtained. In contrast, a velocity at the half-step between consecutive configurational time steps (a half-step velocity) was identified to produce exact statistical kinetic response for harmonic oscillators regardless of the applied time step. However, only for a single GJ method does this velocity also give the correct drift value.We here derive new, practical velocity definitions that are optimized for statistical kinetic measures, such that, e.g., measures of kinetic energy and correlations with the configurational coordinate are exact for the noisy harmonic oscillator, while also producing the correct kinetic measure of transport on flat surfaces. We identify and analyze three half-step velocity definitions that fulfill these criteria, and we outline simple and practical Verlet-type algorithms that incorporate these velocities within the statistically desirable GJ format that provides the optimized configurational statistics. The application of the methods are demonstrated through characteristic Molecular Dynamics simulations of both simple and complex systems, illustrating how the resulting methods are able to efficiently and simultaneously simulate configurational and kinetic statistical ensembles in different situations using very large time steps.

Logunov and Mestvirishvil Disprove "General Relativity"

Based on the various documents, 1989-2002, through the original texts, in addition to the author's contributions, this paper presents the refutation of the mathematicians and physicists A. Logunov and M. Mestvirishvil of A. Einstein's "general relativity", from the relativistic theory of gravitation of these authors, who applying the fundamental principle of the science of physics of the conservation of the energy-momentum and using absolute differential calculus they rigorously perform their mathematical tests. It is conclusively shown that, from the Einstein-Grossman-Hilbert equations, gravity is absurdly a metric field devoid of physical reality unlike all other fields in nature that are material fields, interrupting the chain of transformations between the different existing fields. Also, in Einstein's theory the proved "inertial mass" equal to gravitational mass has no physical meaning. Therefore, "general relativity" does not obey the correspondence principle with Newton's gravity.

Green Hydrogen Production Using Manganese – Vanadium Redox Flow Batteries

The redox flow batteries (RFBs) can be tuned to allow mining of surplus energy capacity and supplement green hydrogen economy as a one-stop station [1, 2].With this concept, an RFB can undergo two sequential discharging modes: i) electrochemical discharge of redox active species, and ii) chemical discharge to produce hydrogen gas, when surplus electricity is available, on the surface of electrocatalysts contained in additional external tanks (i.e., dual circuit RFB) [3, 4]. Herein, electrolytes with Mn3+/Mn2+ (RFB catholyte ~ 1.5 V vs. SHE) and V3+/V2+ (RFB anolyte ~ −0.26 V vs. SHE) redox species are flown to spatially separated external catalytic reactors to drive redox mediated water electrolysis. The fully charged V2+ redox mediator in the anolyte provides electrons to achieve hydrogen evolution reaction (HER) and thereby itself gets discharged to V3+ redox state before circulating back to flow battery tanks.Considering the additional layer of redox-mediated water electrolysis, it is imperative to identify benchmark cycling performance for a robust dual circuit RFB operation. In the first phase of our study, electrochemical behavior of Mn3+/Mn2+ redox couple in the favorable presence of V5+ as an additive was elucidated using ultramicroelectrode voltammograms. Despite significant performance enhancement, capacity fade during galvanostatic cycling could not be fully eliminated owing to Mn3+ disproportionation reaction and manganese crossover. Also, charge/discharge cycling profiles suggest that the inevitable Mn3+ disproportionation affects the true state-of-charge in electrolytes which in turn hinders their potential to generate hydrogen gas. Working towards hydrogen generation, our recent efforts have been to evaluate kinetics for hydrogen evolution reaction (HER) on different carbon substrate – electrocatalyst combinations in acidic V3+/V2+ environment. Overall, this study aims to provide a profound understanding of reliable operating conditions to establish a synergy between Mn3+ disproportionation during the conventional energy storage mode and the total volume of hydrogen gas produced during the secondary mode. References Reynard, D. and H. Girault, Combined hydrogen production and electricity storage using a vanadium-manganese redox dual-flow battery. Cell Reports Physical Science, 2021. 2(9): p. 100556. Amstutz, V., et al., Renewable hydrogen generation from a dual-circuit redox flow battery. Energy & Environmental Science, 2014. 7(7): p. 2350-2358. Peljo, P., et al., All-vanadium dual circuit redox flow battery for renewable hydrogen generation and desulfurisation. Green Chemistry, 2016. 18(6): p. 1785-1797. Piwek, J., et al., Vanadium-oxygen cell for positive electrolyte discharge in dual-circuit vanadium redox flow battery. Journal of Power Sources, 2019. 439: p. 227075.

An Analytical Model for Predicting the Rate Performance of Battery Cells Under Mixed Kinetic Control

The prediction of battery performance conventionally relies on resource-intensive numerical simulations based on the porous electrode theory. For computational speedup, simplified physics-based models have proven attractive as they still capture the underlying reaction mechanisms to a certain degree. In this class of models, physical complexity is usually reduced by assuming a single rate-limiting reaction. For example, the single particle model describes battery cells limited only by the solid diffusion pathway [1]. On the flipside, our previous analytical model exploited inefficiency of electrolyte transport, particularly in thick electrodes [2]. With advancement in both electrode and electrolyte technologies, however, it becomes challenging for these models to handle more realistic batteries.In this work, we propose an improved physics-based analytical model that enables mixed control of both kinetic processes, reflecting both salt depletion and particle size effect. An extension to our uniform reaction (UR) model, the new model uses salt distribution in electrolyte to probe the accessible lithium in the electrode level. The added solid diffusion module calculates the equilibrium potential at particle surface, lithium concentration at particle surface (Cs), and in turn the particle-level depth of discharge. We refer to the model as the URCs model, recognizing its two components. The model features higher tunability as it now accepts function-valued electrode and electrolyte properties. It also allows for prediction of discharge voltage curves and energy output of the cell.The model is compared with numerical simulation over a wide range of cell parameters. It shows good agreement with simulated results in rate performance test, specific energy output test, and discharge voltage curves. Better alignment is observed for the NMC/Li half cell than the NMC/Gr full cell, likely due to mixed reaction type in the graphite anode. Figure 1 shows the comparison of voltage curves across various C rates for a half cell with 70um NMC electrode and particles of 4um radius. Additionally, the cells are optimized for their specific capacity against electrode thickness and porosity. The optimal parameters predicted by the model lie closely to the global optimum from numerical simulation. Figure 2 shows the optimization results for a full cell with particles of 4um radius, overlaid on contour lines generated from the URCs model.The model offers a speed up of over 500 times compared with state-of-art P2D solvers [3]. Furthermore, its compatibility with gradient-based optimization algorithms opens possibilities for more efficient global optimization schemes, in which the number of function calls can be reduced. The high efficiency and the analytical nature of the URCs model render it a powerful tool for both on-board applications and battery cell design.[1] Doyle, M. and Newman, J., 1997. Analysis of capacity–rate data for lithium batteries using simplified models of the discharge process. Journal of Applied Electrochemistry, 27, pp.846-856.[2] Wang, F. and Tang, M., 2020. A quantitative analytical model for predicting and optimizing the rate performance of battery cells. Cell Reports Physical Science, 1(9).[3] Sulzer, V., Marquis, S.G., Timms, R., Robinson, M. and Chapman, S.J., 2021. Python battery mathematical modelling (PyBaMM). Journal of Open Research Software, 9(1). Figure 1

Water on the mind: Mapping behavioral and psychological research on water security

AbstractWater security as a concept recognizes the profound connections between the physical and social aspects of water. Yet, water security research features limited perspectives from two disciplines directly concerned with human behavior—the behavioral and psychological sciences. This review aims to characterize the main areas of research on water (including floods and droughts) which do feature concepts and methods from the behavioral and psychological sciences, discuss knowledge gaps, and draw attention to their potential to contribute to water‐related research. Bibliometric mapping of published water research identifies five research clusters and associated sub‐clusters: risk perception and flood, climate change and drought, water quality and water conservation, drinking water and bottled water, and mental health and WASH. A summary of research in each cluster and sub‐cluster highlights the application of many conceptual frameworks and behavioral determinants associated with water‐related behavior. Few articles focus on the role of governance or structural factors, and studies in low‐ and middle‐income countries are less represented in some clusters. The discussion considers the scope to apply higher level organizing frameworks for structuring behavioral and psychological science applications in water security and for exploring synergies with the physical and wider social sciences. In conclusion, further engagement with behavioral and psychological science within, between, and beyond the clusters identified here, could potentially deepen understanding of human–water interactions and enhance the design of measures to promote water security.This article is categorized under: Human Water > Water Governance Human Water > Water as Imagined and Represented Science of Water > Water and Environmental Change

A cross‐domain analysis of research performance: Conventional and altmetric indicators in Medicine, Physical Sciences, and Social Sciences

AbstractComparing research performance across distinct subject domains is not recommended unless proper treatments are applied to normalize the domain‐specific characteristics. Except for limited research aimed at exploring the field‐dependent behaviours of specific research performance indicators, it is difficult to find comprehensive research examining both conventional and altmetric indicators for their influence on journals, articles, and authors in distinct subject domains. This research used Scopus and PlumX as sources to collect conventional and altmetric data, respectively. In addition to descriptive statistics, the Mann–Whitney U test, cluster plots, and correlation analysis were employed for data analysis. The results reveal that all three levels of indicators behave in notably different ways in Medicine compared with that of the Physical and Social Sciences. Most indicators in all three levels attain higher maximum and average values in Medicine. For instance, the maximum values for most indicators, except for citations and documents, are significantly higher in Medicine than in the Physical and Social Sciences. However, the citations and productivity of Physical Sciences journals surpass the two in other domains. SNIP deviates lightly across subject domains compared with that of other journal‐level indicators. Further, citations do not have a large influence on SNIP and SJR as they do Journal Impact Factor and CiteScore. All article‐level indicators show significant differences between Medicine and the Physical Sciences. Between the Physical and Social Sciences, all indicators except page count show significant differences. Further, article‐level indicators in the Social Sciences behave in nearly the same way as in the Physical Sciences. Citation counts positively influence captures. In addition, Medicine authors are likely to make more impact and be more productive in their field than authors in other fields. Collaboration was also found to improve both the productivity of authors and the impact of their research, irrespective of the domain they work in. These findings are important to authors, research evaluators, and publishers from different viewpoints. Discouraging performance comparisons based on raw indicator values can protect researchers from inaccurate assessments, enabling them to fully realize their potential for conducting cutting‐edge research. Finally, this research indicates different directions along which this area of research can be extended.

COMPARISON OF VERTEBRAL AND INTERVERTEBRAL DISC STRAINS IN AXIAL COMPRESSION AND FLEXION, AND THE EFFECT OF DISC DEGENERATION

IntroductionVertebral compression fractures are the most common type of osteoporotic fracture. Though 89% of clinical fractures occur anteriorly, it is challenging to replicate these ex vivo with the underlying intervertebral discs (IVDs) present. Furthermore, the role of disc degeneration in this mechanism is poorly understood. Understanding how disc morphology alters vertebral strain distributions may lead to the utilisation of IVD metrics in fracture prediction, or inform surgical decision-making regarding instrumentation type and placement.AimTo determine the effect of disc degeneration on the vertebral trabecular bone strain distributions in axial compression and flexion loading.MethodsEight cadaveric thoracolumbar segments (T11-L3) were prepared (N=4 axial compression, N=4 flexion). µCT-based digital volume correlation was used to quantify trabecular strains. A bespoke loading device fixed specimens at the resultant displacement when loaded to 50N and 800N. Flexion was achieved by adding 6° wedges. Disc degeneration was quantified with Pfirrmann grading and T2 relaxation times.ResultsAnterior axial strains were 80.9±39% higher than the posterior region in flexion (p<0.01), the ratio of which was correlated with T2 relaxation time (R2=0.80, p<0.05). In flexion, the central-to-peripheral axial strain ratio in the endplate region was significantly higher when the underlying IVDs were non-degenerated relative to degenerated (+38.1±12%, p<0.05). No significant differences were observed in axial compression.ConclusionDisc degeneration is a stronger determinant of the trabecular strain distribution when flexion is applied. Load transfer through non-degenerate IVDs under flexion appears to be more centralised, suggesting that disc degeneration predisposes flexion-type compression fractures by shifting high strains anteriorly.Conflicts of interestThe authors declare none.Sources of fundingThis work was funded by the Engineering & Physical Sciences Research Council (EP/V029452/1), and Back-to-Back.

Harmonies on the String: Exploring the Synergy of Music and STEM

The process of perceiving music involves the transference of environmental physics in the air to anatomical and physiological interpretations of resonance in the body and psychological perceptions in the brain. These processes and musical interpretations are the basis of physical and cognitive science, neurophysiology, psychoacoustics, and cultural psychology. The intersection of interdisciplinary and transdisciplinary curricular offerings forms the basis of STEM (Science, Technology, Engineering, and Mathematics). In this study, the researcher explores the synergy of music in STEM for formulating and affording authentic STEAM programmatic offerings for learners. The blending of the art of music within STEM provides opportunities for teachers and students to address and connect content through creative, innovative approaches for deeper, meaningful learning. Threading the art of music within STEM affords discovery-learning opportunities that facilitate both critical thinking and social, emotional learning skills development in students. This study provides perspective in terms of developing curricular offerings for students that blend physical and cognitive science with the art of sound. The researcher provides authentic curricular exemplars regarding the synergy of music in STEM and concludes by offering recommendations for designing and implementing expressive curricular programmatic offerings for students from early childhood settings through higher education.

Occupational inequalities in mortality from cardiovascular disease, 2020-2021.

In recent years previous declines in cardiovascular disease (CVD) have stalled. There are occupational risk factors for CVD mortality. This study seeks to examine inequalities in CVD mortality for working-age adults in the United States by occupation. Death certificate data for CVD deaths were obtained from the National Center for Health Statistics. Occupation data from these death certificates were coded to major occupation groups. Using information about the number of workers employed in these occupations obtained from the American Community Survey, we calculated mortality rates and rate ratios (RRs), adjusted for covariates associated with CVD mortality. After adjusting for age, sex, race/ethnicity, and educational attainment, workers in 11 occupations had significantly elevated RRs: food preparation and serving; construction and extraction; arts, design, entertainment, sports, and media; life, physical, and social science; farming, fishing, and forestry; legal; protective services; building and grounds cleaning and maintenance; healthcare practitioners and technical; personal care and service; and community and social services. Occupation appears to be a significant predictor of CVD mortality. Further research is needed to assess how occupational risk factors contribute to changing trends for CVD mortality. Interventions are needed to address workplace risk factors for CVD.

The impact of the generative learning methodology on teaching artistic Gymnastics Law to fourth-year Female Students

Evaluate the effectiveness of the generative learning model in teaching artistic gymnastics law to female fourth-stage students at the University of Babylon's College of Physical Education and Sports Sciences. To determine the variations in cognitive accomplishment between the control and experimental study groups after teaching the artistic gymnastics law. The research hypotheses are that fourth-stage female students at the College of Physical Education and Sports Sciences, University of Babylon, have significantly higher cognitive achievement of the artistic gymnastics law after post-testing. The researcher utilized an experimental approach. The fourth-year female students at the University of Babylon's College of Physical Education and Sports Sciences deliberated on the research community for the academic year 2022-2023. One of the reasons for this decision is that the topic (artistic gymnastics) is presented at this level. This is one of the subjects in the first semester. At present, there are 40 female students in the research sample, which was randomly divided into 20 students in the experimental group and 20 students in the control group. The researcher's conclusion was as follows: The strategy used, and the generative learning model, increased cognitive success when teaching artistic gymnastics law. In post-tests, the generative learning model beat the previously used strategy regarding cognitive accomplishment. The researcher recommended the following: 1. Implementing this concept to include additional sports activities in other cognitive and practical curricula.2. Instructing faculty members in the department to use this paradigm in general and practical curricula.3. Conducting scientific studies using current techniques or tactics and comparing results of this model to assess its efficacy in the educational process.

The physical science basis of climate change empowering transformations, insights from the IPCC AR6 for a climate research agenda grounded in ethics

The physical science basis of climate change empowering transformations, insights from the IPCC AR6 for a climate research agenda grounded in ethics

Utilising Tshivenḓa Scientific Language Register for Teaching Electric Circuits

Teaching physical sciences in English as the Language of Learning and Teaching (LOLT) has presented numerous challenges, particularly for learners who are not proficient in the language. The South African government is increasingly considering the use of indigenous languages as the medium of instruction for subjects such as physical sciences, sparking debates regarding the effectiveness of indigenous languages in teaching and learning. This study aimed to explore stakeholders' perceptions regarding the use of Tshivenḓa scientific language for the concept of electricity. Utilizing qualitative interpretative case study methodology, the researcher conducted interviews with two grade 10 teachers, three parents, and two groups of grade 10 learners from selected schools to investigate their views on using Tshivenḓa scientific language register to teach physical sciences. The findings indicate that stakeholders view the adoption of scientific language registers in Tshivenḓa as a positive initiative. They believe it will provide learners who struggle to understand physical sciences when taught in English with an opportunity to learn effectively in a language they are familiar with. Therefore, the study recommends expanding the development of scientific registers in Tshivenḓa to cover other topics in physical sciences.

Quantum (or q$$ q $$‐) operator equations and associated partial differential equations for bivariate Laguerre polynomials with applications to the q$$ q $$‐Hille‐Hardy type formulas

Based on the extensive application of the ‐series and ‐polynomials including (for example) the ‐Laguerre polynomials in several fields of the mathematical and physical sciences, we attach great importance to the equations and related application issues involving the ‐Laguerre polynomials. The mission of this paper is to find the general ‐operational equation together with the expansion issue of the bivariate ‐Laguerre polynomials from the perspective of ‐partial differential equations. We also give some applications including some ‐Hille‐Hardy type formulas. In addition, we present the Rogers‐type formulas and the ‐type generating functions for the bivariate ‐Laguerre polynomials by the technique based upon ‐operational equations. Moreover, we derive a new generalized Andrews‐Askey integral and a new transformation identity involving the bivariate ‐Laguerre polynomials by applying ‐operational equations.

Surface and interfacial sciences for future technologies.

Physical science has undergone an evolutional transition in research focus from solid bulks to surfaces, culminating in numerous prominent achievements. Currently, it is experiencing a new exploratory phase-interfacial science. Many a technology with a tremendous impact is closely associated with a functional interface which delineates the boundary between disparate materials or phases, evokes complexities that surpass its pristine comprising surfaces, and thereby unveils a plethora of distinctive properties. Such an interface may generate completely new or significantly enhanced properties. These specific properties are closely related to the interfacial states formed at the interfaces. Therefore, establishing a quantitative relationship between the interfacial states and their functionalities has become a key scientific issue in interfacial science. However, interfacial science also faces several challenges such as invisibility in characterization, inaccuracy in calculation, and difficulty in precise construction. To tackle these challenges, people must develop new strategies for precise detection, accurate computation, and meticulous construction of functional interfaces. Such strategies are anticipated to provide a comprehensive toolbox tailored for future interfacial science explorations and thereby lay a solid scientific foundation for several key future technologies.

Analysis of the dynamical behaviours for the generalized Bogoyavlvensky–Konopelchenko equation and its analytical solutions occurring in mathematical physics

In the domains of fluid mechanics, hydrodynamics, and marine engineering, Bogoyavlensky–Konopelchenko equations are of great interest to mathematicians and physicists as a means of illuminating the diverse dynamics of non-linear wave events. In this study, to pique readers' interest, we investigate the soliton solutions of a dynamical model, which is the mathematical physics equivalent of the (2+1)-dimensional generalized Bogoyavlensky–Konopelchenko equation (GBKE). Utilizing the improved modified extended tanh-function scheme (IMETFS), we generate several innovative solutions. Utilizing the previously described approach, we find new types of solutions that have never been found before to demonstrate their originality for the problem at hand, such as dark, singular soliton, exponential, hyperbolic, singular periodic, Jacobi elliptic function (JEF), and rational solutions. The results show that the computational procedures are clear, informed, and effective. By integrating them with representational calculations, they may be used for more intricate phenomena. The efficacy of our method indicates that it may be utilized to tackle other non-linear challenges in many domains, particularly in soliton theory, since the examined model appears in many applications. Utilizing the computer algebra system, Wolfram Mathematica®, the propagation of the well-furnished results is visualized through contour plots, 2D and 3D visualizations for different values of the required free parameters. All of the research's conclusions are necessary to comprehend the behavior and physical significance of the examined equation, highlighting how crucial it is to examine various non-linear wave phenomena in the field of engineering mathematics and physical sciences.

Machine Learning in Complex Organic Mixtures: Applying Domain Knowledge Allows for Meaningful Performance with Small Data Sets.

The ability to quantify individual components of complex mixtures is a challenge found throughout the life and physical sciences. An improved capacity to generate large data sets along with the uptake of machine-learning (ML)-based analysis tools has allowed for various "omics" disciplines to realize exceptional advances. Other areas of chemistry that deal with complex mixtures often do not leverage these advances. Environmental samples, for example, can be more difficult to access, and the resulting small data sets are less appropriate for unconstrained ML approaches. Herein, we present an approach to address this latter issue. Using a very small environmental data set─35 high-resolution mass spectra gathered from various solvent extractions of Canadian petroleum fractions─we show that the application of specific domain knowledge can lead to ML models with notable performance.

Order Statistics and Actuarial Measures from Powered Inverse Rayleigh Distribution

Nashaat [25] introduced the powered inverse Rayleigh (PIR) distribution. It provides a better fit other than (inverse Rayleigh, Rayleigh, and Weibull) distributions. The moments of order statistics and recurrence relations for the single and double moments have been established. The computation of the means and variances are enumerated. These computations can be trulyinteresting and applied in numerous domains of study. Moreover, cumulative entropy (C.E.) and actuarial measures (A.M.) are also calculated to address the uncertainty in portfolio optimization. The usages of C. E. and A.M. are widespread in many real-word applications specifically in physical sciences and insurance science.

Closing the Loops on Southern Ocean Dynamics: From the Circumpolar Current to Ice Shelves and From Bottom Mixing to Surface Waves

AbstractA holistic review is given of the Southern Ocean dynamic system, in the context of the crucial role it plays in the global climate and the profound changes it is experiencing. The review focuses on connections between different components of the Southern Ocean dynamic system, drawing together contemporary perspectives from different research communities, with the objective of closing loops in our understanding of the complex network of feedbacks in the overall system. The review is targeted at researchers in Southern Ocean physical science with the ambition of broadening their knowledge beyond their specific field, and aims at facilitating better‐informed interdisciplinary collaborations. For the purposes of this review, the Southern Ocean dynamic system is divided into four main components: large‐scale circulation; cryosphere; turbulence; and gravity waves. Overviews are given of the key dynamical phenomena for each component, before describing the linkages between the components. The reviews are complemented by an overview of observed Southern Ocean trends and future climate projections. Priority research areas are identified to close remaining loops in our understanding of the Southern Ocean system.

Obstacles to Scientific Research from the Point of View of Graduate Students at the Faculty of Physical Education and Sport Sciences, University of Tripoli

This research aimed to identify the obstacles to scientific research from the point of view of graduate students at the Faculty of Physical Education and Sport Sciences at Tripoli University related to faculty members, related to graduate students, and related to the administrative side and supervision, the researcher used the descriptive method by survey method due to its suitability to the nature of this research, the research sample was selected randomly, where the total number of the sample amounted to (77) students with a percentage of (48%), and the most important findings of this research were that the responses of the sample members towards the dimensions of The most important findings of this research were that the responses of the sample members towards the dimensions of the axis of obstacles to scientific research from their point of view were realistic and were not due to chance, and the results of the responses of the research sample towards the stability coefficients of the axis of obstacles to scientific research ranged from (73% to 83%), and that the overall stability scores for the axis as a whole amounted to (84%), which are high stability scores.

Incidence of diabetes after SARS-CoV-2 infection in England and the implications of COVID-19 vaccination: a retrospective cohort study of 16 million people

Some studies have shown that the incidence of type 2 diabetes increases after a diagnosis of COVID-19, although the evidence is not conclusive. However, the effects of the COVID-19 vaccine on this association, or the effect on other diabetes subtypes, are not clear. We aimed to investigate the association between COVID-19 and incidence of type 2, type 1, gestational and non-specific diabetes, and the effect of COVID- 19 vaccination, up to 52 weeks after diagnosis. In this retrospective cohort study, we investigated the diagnoses of incident diabetes following COVID-19 diagnosis in England in a pre-vaccination, vaccinated, and unvaccinated cohort using linked electronic health records. People alive and aged between 18 years and 110 years, registered with a general practitioner for at least 6 months before baseline, and with available data for sex, region, and area deprivation were included. Those with a previous COVID-19 diagnosis were excluded. We estimated adjusted hazard ratios (aHRs) comparing diabetes incidence after COVID-19 diagnosis with diabetes incidence before or in the absence of COVID-19 up to 102 weeks after diagnosis. Results were stratified by COVID-19 severity (categorised as hospitalised or non-hospitalised) and diabetes type. 16 669 943 people were included in the pre-vaccination cohort (Jan 1, 2020-Dec 14, 2021), 12 279 669 in the vaccinated cohort, and 3 076 953 in the unvaccinated cohort (both June 1-Dec 14, 2021). In the pre-vaccination cohort, aHRs for the incidence of type 2 diabetes after COVID-19 (compared with before or in the absence of diagnosis) declined from 4·30 (95% CI 4·06-4·55) in weeks 1-4 to 1·24 (1·14-1.35) in weeks 53-102. aHRs were higher in unvaccinated people (8·76 [7·49-10·25]) than in vaccinated people (1·66 [1·50-1·84]) in weeks 1-4 and in patients hospitalised with COVID-19 (pre-vaccination cohort 28·3 [26·2-30·5]) in weeks 1-4 declining to 2·04 [1·72-2·42] in weeks 53-102) than in those who were not hospitalised (1·95 [1·78-2·13] in weeks 1-4 declining to 1·11 [1·01-1·22] in weeks 53-102). Type 2 diabetes persisted for 4 months after COVID-19 in around 60% of those diagnosed. Patterns were similar for type 1 diabetes, although excess incidence did not persist beyond 1 year after a COVID-19 diagnosis. Elevated incidence of type 2 diabetes after COVID-19 is greater, and persists for longer, in people who were hospitalised with COVID-19 than in those who were not, and is markedly less apparent in people who have been vaccinated against COVID-19. Testing for type 2 diabetes after severe COVID-19 and the promotion of vaccination are important tools in addressing this public health problem. UK National Institute for Health and Care Research, UK Research and Innovation (UKRI) Medical Research Council, UKRI Engineering and Physical Sciences Research Council, Health Data Research UK, Diabetes UK, British Heart Foundation, and the Stroke Association.