Research COVID-19 and its Outcomes in Multiple Sclerosis Patients

Background: Coronavirus Disease 2019 (COVID-19) is a highly contagious disease that resulted in 4533645 deaths until September first, 2021. Multiple Sclerosis (MS) patients receive immunosuppressive drugs. Thus, there is a concern that these drugs will reduce the patient's immune system resistance against COVID19. Objective(s): This study aimed to evaluate the epidemiology of COVID19 and its impact on MS patients in our university hospital in Tehran City, Iran. Material(s) and Method(s): A cross-sectional study was conducted based on hospital-based registry data from May 2020 to March 2021. Among more than 500 registered MS patients in Imam Khomeini Hospital in Tehran City, Iran, referring within our study period, 84 patients reported SARS-COV2 infection. The diagnosis of MS was confirmed by the McDonald criteria. Moreover, the diagnosis of COVID-19 in MS patients was established by the real-time-PCR technique and chest computed tomography. Result(s): Out of 84 MS patients with SARS-COV2 infection, 55(65.5%) were women, and their mean age was 37.48 years. The most commonly used medications by MS patients were Rituximab 20 (26.3%) and Dimethyl Fumarate 14(18.4%). Totally, 9(10.8%) of the patients needed to be hospitalized due to COVID-19, with a mean hospitalization duration of 5.88 days. A total of 1 (1.2%) death was reported. Conclusion(s): Compared to the healthy population, COVID-19 is not more serious in MS patients. Most MS patients with COVID-19 infection were not hospitalized and continued their medication during the infection.Copyright © 2022 The Authors. This is an open access article under the CC-By-NC license. All Rights Reserved.

Through the Lens of Students: MS Teams as a Sustainable Pedagogical Tool

The COVID-19 pandemic has highlighted the need for higher education institutions to modernize and embrace the post-digital age. This study evaluates students' perspectives of utilizing MS Teams as a means of facilitating remote learning during the pandemic. The Technology Acceptance Model (TAM) was employed as the theoretical framework to examine students' views on self-efficacy, facilitating conditions, ease of use, usefulness, and intention to use. The results showcase positive views of MS Teams, with self-efficacy rated the highest among the five constructs, followed by ease of use, facilitating conditions, intention to use, and usefulness. Additionally, no significant differences were found in students' perceptions based on gender. MS Teams has proven to be a successful platform for delivering online learning and communicating, bridging the divide of distance and time in teaching and learning. As discussions about the future of higher education in the post-pandemic world have commenced among academia and university officials, it is crucial to consider the impact of COVID-19 on student learning and provide suggestions for a more sustainable and effective post-pandemic education. © 2023 IEEE.

Evaluation of The Effect of Crude Extracts of Fenugreek on Resistant Isolates of Candida species (In vitro study)

Background: The recent emergence of fungal resistance strains has caused concern in medical settings. Medicinal plants continue to be viable sources of bioactive chemicals with therapeutic potential. These compounds can be extracted in different techniques using various solvents that give rise to a wide variety of extracted bioactive compounds that act as anti-fungal. The research aimed to evaluate the effect of fenugreek seed extracts on resistant isolates of Candida spp. isolated from sever COVID-19 patients.Methodology: The study was conducted from August 2021 to November 2022 at Al-Imam Al -Hussein Medical City and Al-Hayat Respiratory Diseases Units. Under a specialist's physician's supervision, severe COVID-19 cases were collected. The collected 455 sputum samples were examined directly and cultured on Sabouraud ' s Dextrose agar (SDA) media;growth colonies were distinguished and used Grams stain with the API system before the antifungal susceptibility test was performed in accordance with clinical and laboratory standards institute (CLSI 2020) by disc diffusion method to differentiate the resistance microorganism. The extraction process was conducted using the soxhlet technique (100 grams of seed powder and 800 milliliters of solvents (chloroform, methanol, and water) for eight hours. Electrical rotatory evaporators were used to evaporate the extract to get the concentrated crude extracts. FTIR and GC -MS instruments used to detection of bioactive compounds in crude fenugreek seed extracts(aqueous, methanol, and chloroform). Then, different concentrations of each extract (25, 50, 100, and 150 mg/ml) and their effect against the tested resistance study isolated were examined by well diffusion method and Minimum inhibitory concentration was measured.Results: A 455 were enrolled in this study. Patients' ages ranged from 20 to 91 years (mean 52.23, SD 15.009). This study indicated that more than half of the samples were males [(262) 57.6%] and [(193) 42.4%] were females. The FTIR and GC-MS showed the methanolic extract potent the most bioactive compounds, followed by the chloroform and water extracts. Evaluation of antimicrobial effects at 50 mg/ml, the methanolic extract showed the greatest effect, with a mean inhibition zone of 9.33 mm and a significant value of 0.01;at 100 mg/ml, the chloroform extract showed the next greatest effect, with a mean inhibition zone of 10.33 mm and a significant value of 0.005. At 150 mg/ml, the aqueous extracts showed the least effect, with a mean inhibition zone of 8.33 mm and a non-significant value of 0.024.Conclusions: Candida spp. were most frequent isolated yeast from sputum of patients with severe COVID-19. Methanol extract was the most effective anti-candida, followed by chloroform extract, and the aqueous extract was the least effective. The most effective anti-candida drug is ketoconazole.

The Quantification of Spike Proteins in the Inactivated SARS-CoV-2 Vaccines of the Prototype, Delta, and Omicron Variants by LC-MS.

Developing variant vaccines or multivalent vaccines is a feasible way to address the epidemic as the SARS-CoV-2 variants of concern (VOCs) posed an increased risk to global public health. The spike protein of the SARS-CoV-2 virus was usually used as the main antigen in many types of vaccines to produce neutralizing antibodies against the virus. However, the spike (S) proteins of different variants were only differentiated by a few amino acids, making it difficult to obtain specific antibodies that can distinguish different VOCs, thereby challenging the accurate distinction and quantification of the variants using immunological methods such as ELISA. Here, we established a method based on LC-MS to quantify the S proteins in inactivated monovalent vaccines or trivalent vaccines (prototype, Delta, and Omicron strains). By analyzing the S protein sequences of the prototype, Delta, and Omicron strains, we identified peptides that were different and specific among the three strains and synthesized them as references. The synthetic peptides were isotopically labeled as internal targets. Quantitative analysis was performed by calculating the ratio between the reference and internal target. The verification results have shown that the method we established had good specificity, accuracy, and precision. This method can not only accurately quantify the inactivated monovalent vaccine but also could be applied to each strain in inactivated trivalent SARS-CoV-2 vaccines. Hence, the LC-MS method established in this study can be applied to the quality control of monovalent and multivalent SARS-CoV-2 variation vaccines. By enabling more accurate quantification, it will help to improve the protection of the vaccine to some extent.

Simultaneous Determination of Ten Active Components From Jinhongtang Granule in Rat Plasma by LC-MS/MS and its Application to a Comparative Pharmacokinetic Study in Normal and Sepsis Rats In Vivo and In Vitro.

Jinhongtang granule (JHT) is a traditional Chinese medicine formula used for treatment of infection diseases including severe COVID-19. However, pharmacokinetics of JHT was unknown, especially in infection condition. A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously quantify ten active components form JHT in rat plasma. MS detection was performed by MRM scanning operating in the negative ionization mode. The method showed good linearity (r > 0.997). The accuracy, precision, matrix effect, recovery and stability were all satisfactory with current criterion. The method was successfully applied to compare the pharmacokinetic difference between normal and sepsis rats. The pharmacokinetic behaviors of analytes in sepsis rats were significantly different from those in normal rats. Cmax and AUC of rhein, emodin, aloe emodin, rhein-8-glucoside, aloe emodin 8-glucoside, protocatechuic acid, epicatechin and salidroside, were significantly increased in sepsis rats, except for 4-hydroxycinnamic acid and ferulic acid. In vitro intestinal absorption study using everted intestinal sac preparations indicated that the intestinal permeability was altered under sepsis. In conclusion, pharmacokinetic difference of JHT between normal and sepsis rats were evaluated for the first time, which provided useful information for the clinical application of JHT as an integrative therapy for severe and critical COVID-19.

A novel VOC breath tracer method to evaluate indoor respiratory exposures in the near- and far-fields; implications for the spread of respiratory viruses.

BACKGROUND: Several studies suggest that far-field transmission (>6 ft) explains a significant number of COVID-19 superspreading outbreaks. OBJECTIVE: Therefore, quantifying the ratio of near- and far-field exposure to emissions from a source is key to better understanding human-to-human airborne infectious disease transmission and associated risks. METHODS: In this study, we used an environmentally-controlled chamber to measure volatile organic compounds (VOCs) released from a healthy participant who consumed breath mints, which contained unique tracer compounds. Tracer measurements were made at 0.76 m (2.5 ft), 1.52 m (5 ft), 2.28 m (7.5 ft) from the participant, as well as in the exhaust plenum of the chamber. RESULTS: We observed that 0.76 m (2.5 ft) trials had ~36-44% higher concentrations than other distances during the first 20 minutes of experiments, highlighting the importance of the near-field exposure relative to the far-field before virus-laden respiratory aerosol plumes are continuously mixed into the far-field. However, for the conditions studied, the concentrations of human-sourced tracers after 20 minutes and approaching the end of the 60-minute trials at 0.76 m, 1.52 m, and 2.28 m were only ~18%, ~11%, and ~7.5% higher than volume-averaged concentrations, respectively. SIGNIFICANCE: This study suggests that for rooms with similar airflow parameters disease transmission risk is dominated by near-field exposures for shorter event durations (e.g., initial 20-25-minutes of event) whereas far-field exposures are critical throughout the entire event and are increasingly more important for longer event durations. IMPACT STATEMENT: We offer a novel methodology for studying the fate and transport of airborne bioaerosols in indoor spaces using VOCs as unique proxies for bioaerosols. We provide evidence that real-time measurement of VOCs can be applied in settings with human subjects to estimate the concentration of bioaerosol at different distances from the emitter. We also improve upon the conventional assumption that a well-mixed room exhibits instantaneous and perfect mixing by addressing spatial distances and mixing over time. We quantitatively assessed the exposure levels to breath tracers at alternate distances and provided more insights into the changes on "near-field to far-field" ratios over time. This method can be used in future to estimate the benefits of alternate environmental conditions and occupant behaviors.

Development and validation of method for analysis of favipiravir and remdesivir in volumetric absorptive microsampling with ultra high-performance liquid chromatography-tandem mass spectrophotometry.

Favipiravir and remdesivir are drugs to treat COVID-19. This study aims to find an optimum and validated method for simultaneous analysis of favipiravir and remdesivir in Volumetric Absorptive Microsampling (VAMS) by Ultra High-Performance Liquid Chromatography-Tandem Mass Spectrophotometry. The use of VAMS can be an advantage because the volume of blood is small and the sample preparation process is simple. Sample preparation was done by precipitation of protein using 500 µL of methanol. Analysis was carried out by ultra high-performance liquid chromatography-tandem mass spectrophotometry with ESI+ and MRM with m/z 157.9 > 112.92 for favipiravir, 603.09 > 200.005 for remdesivir, and at m/z 225.968 > 151.991 for acyclovir as the internal standard. The separation was carried out using an Acquity UPLC BEH C18 column (100 × 2.1 mm; 1.7 m), 0.2% formic acid-acetonitrile (50:50), flow rate was 0.15 mL/min, and column temperature was 50°C. The analytical method has been validated with the requirements issued by the Food and Drug Administration (2018) and European Medicine Agency (2011). The calibration range of favipiravir is 0.5-160 µg/mL and 0.002-8 µg/mL for remdesivir.

Phytochemical Characterization and Screening of the Anti-Pneumonia (Anti-COVID-19, Anti-Fungal, and Anti-Bacterial) Activities of Cuscuta Campestris Extract

Introduction: Although, several vaccines are being approved, no effective antiviral drug has been developed for COVID-19 infectious. The present investigation was aimed to increase the essential oils of Cuscuta campestris using far-red light treatment and examine the potential of crude extracts of C. campestris against selected pneumonia pathogens and COVID-19.Methods: Anti-COVID-19 activity was determined in human lung cell lines and COVID-19 positive patients.Results: Results demonstrated that the aqueous extract had the highest amount of anti-COVID-19, antibiotic and antioxidant activity. The far-red light treatment increased Scoparone, cineole, Benzofuran, 2, 3- dihydro, Cinnamic acid, and Benzo[h]quinoline, 2, 4-dimethyl, which are mainly effective components against COVID-19 inflammation and pneumonia microbes. CT scan and clinical laboratory tests in a clinical case study, a 30-year-old woman who presented with severe 2019-nCoV, demonstrated that inhalation of 30 mg extract nebulized/day for seven days resulted in significant improvement in consolidation and ground-glass opacity in lungs on the seventh day of treatment.Conclusion: It is hoped that this study leads to the introduction of some compounds that could be used to formulate new and more potent anti-COVID-19 antibiotics, or other drugs of natural origin in medicine.

Determination of 25 quaternary ammonium compounds in sludge by liquid chromatography-mass spectrometry.

With the pandemic of COVID-19, the application of quaternary ammonium compounds (QACs), which can be used in SARS-CoV-2 disinfection products, has increased substantially. QACs cumulated in sewer system are ultimately deposited and enriched in sludge. QACs in the environment can adversely affect human health and the environment. In this study, a liquid chromatography-mass spectrometry method was established for the simultaneous determination of 25 QACs in sludge samples. Ultrasonic extraction and filtration of the samples was performed using a 50 mM hydrochloric acid-methanol solution. The samples were separated by liquid chromatography and detected in multiple reaction monitoring mode. The matrix effects of the sludge on the 25 QACs ranged from - 25.5% to 7.2%. All substances showed good linearity in the range of 0.5-100 ng/mL, with all determination coefficients (R2) greater than 0.999. The method detection limits (MDLs) were 9.0 ng/g for alkyltrimethylammonium chloride (ATMAC), 3.0 ng/g for benzylalkyldimethylammonium chloride (BAC), and 3.0 ng/g for dialkyldimethylammonium chloride (DADMAC). The spiked recovery rates were in the range of 74-107%, while the relative standard deviations were in the range of 0.8-20.6%. Considering its sensitivity, accuracy, and easy operation, the proposed method in this study was used to determine 22 sludge samples collected from a comprehensive wastewater treatment plant. The results showed that the concentrations of ΣATMACs, ΣBACs, and ΣDADMACs were 19.684, 3.199, and 8.344 µg/g, respectively. The main components included ATMAC-C16, ATMAC-C18, ATMAC-C20, ATMAC-C22, BAC-C12, and DADMAC-C18:C18, with concentrations exceeding 1.0 µg/g. The concentration relationships of different components in the congeners showed that some components were of similar origin.

hACE2-Induced Allosteric Activation in SARS-CoV versus SARS-CoV-2 Spike Assemblies Revealed by Structural Dynamics.

SARS-CoV and SARS-CoV-2 cell entry begins when spike glycoprotein (S) docks with the human ACE2 (hACE2) receptor. While the two coronaviruses share a common receptor and architecture of S, they exhibit differences in interactions with hACE2 as well as differences in proteolytic processing of S that trigger the fusion machine. Understanding how those differences impact S activation is key to understand its function and viral pathogenesis. Here, we investigate hACE2-induced activation in SARS-CoV and SARS-CoV-2 S using hydrogen/deuterium-exchange mass spectrometry (HDX-MS). HDX-MS revealed differences in dynamics in unbound S, including open/closed conformational switching and D614G-induced S stability. Upon hACE2 binding, notable differences in transduction of allosteric changes were observed extending from the receptor binding domain to regions proximal to proteolytic cleavage sites and the fusion peptide. Furthermore, we report that dimeric hACE2, the native oligomeric form of the receptor, does not lead to any more pronounced structural effect in S compared to saturated monomeric hACE2 binding. These experiments provide mechanistic insights into receptor-induced activation of Sarbecovirus spike proteins.

Evaluation of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Molecular Typing of Acinetobacter baumannii in Comparison with Orthogonal Methods.

Colonization and subsequent health care-associated infection (HCAI) with Acinetobacter baumannii are a concern for vulnerable patient groups within the hospital setting. Outbreaks involving multidrug-resistant strains are associated with increased patient morbidity and mortality and poorer overall outcomes. Reliable molecular typing methods can help to trace transmission routes and manage outbreaks. In addition to methods deployed by reference laboratories, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) may assist by making initial in-house judgments on strain relatedness. However, limited studies on method reproducibility exist for this application. We applied MALDI-TOF MS typing to A. baumannii isolates associated with a nosocomial outbreak and evaluated different methods for data analysis. In addition, we compared MALDI-TOF MS with whole-genome sequencing (WGS) and Fourier transform infrared spectroscopy (FTIR) as orthogonal methods to further explore their resolution for bacterial strain typing. A related subgroup of isolates consistently clustered separately from the main outbreak group by all investigated methods. This finding, combined with epidemiological data from the outbreak, indicates that these methods identified a separate transmission event unrelated to the main outbreak. However, the MALDI-TOF MS upstream approach introduced measurement variability impacting method reproducibility and limiting its reliability as a standalone typing method. Availability of in-house typing methods with well-characterized sources of measurement uncertainty could assist with rapid and dependable confirmation (or denial) of suspected transmission events. This work highlights some of the steps to be improved before such tools can be fully integrated into routine diagnostic service workflows for strain typing. IMPORTANCE Managing the transmission of antimicrobial resistance necessitates reliable methods for tracking outbreaks. We compared the performance of MALDI-TOF MS with orthogonal approaches for strain typing, including WGS and FTIR, for Acinetobacter baumannii isolates correlated with a health care-associated infection (HCAI) event. Combined with epidemiological data, all methods investigated identified a group of isolates that were temporally and spatially linked to the outbreak, yet potentially attributed to a separate transmission event. This may have implications for guiding infection control strategies during an outbreak. However, the technical reproducibility of MALDI-TOF MS needs to be improved for it to be employed as a standalone typing method, as different stages of the experimental workflow introduced bias influencing interpretation of biomarker peak data. Availability of in-house methods for strain typing of bacteria could improve infection control practices following increased reports of outbreaks of antimicrobial-resistant organisms during the COVID-19 pandemic, related to sessional usage of personal protective equipment (PPE).

Understanding common population markers for SARS-CoV-2 RNA normalization in wastewater - A review.

Wastewater monitoring and epidemiology have seen renewed interest during the recent COVID-19 pandemic. As a result, there is an increasing need to normalize wastewater-derived viral loads in local populations. Chemical tracers, both exogenous and endogenous compounds, have proven to be more stable and reliable for normalization than biological indicators. However, differing instrumentation and extraction methods can make it difficult to compare results. This review examines current extraction and quantification methods for ten common population indicators: creatinine, coprostanol, nicotine, cotinine, sucralose, acesulfame, androstenedione 5-hydroindoleacetic acid (5-HIAA), caffeine, and 1,7-dimethyluric acid. Some wastewater parameters such as ammonia, total nitrogen, total phosphorus, and daily flowrate were also evaluated. The analytical methods included direct injection, dilute and shoot, liquid/liquid, and solid phase extraction (SPE). Creatine, acesulfame, nicotine, 5-HIAA and androstenedione have been analysed by direct injection into LC-MS; however, most authors prefer to include SPE steps to avoid matrix effects. Both LC-MS and GC-MS have been successfully used to quantify coprostanol in wastewater, and the other selected indicators have been quantified successfully with LC-MS. Acidification to stabilize the sample before freezing to maintain the integrity of samples has been reported to be beneficial. However, there are arguments both for and against working at acidic pHs. Wastewater parameters mentioned earlier are quick and easy to quantify, but the data does not always represent the human population effectively. A preference for population indicators originating solely from humans is apparent. This review summarises methods employed for chemical indicators in wastewater, provides a basis for choosing an appropriate extraction and analysis method, and highlights the utility of accurate chemical tracer data for wastewater-based epidemiology.

E-Learning Software: Comparing the use Behavior Among Academicians and Schoolteachers

The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these characteristics is a technology acceptance model. In this paper, the authors aim to understand the technology acceptance of Microsoft (MS) Teams by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The authors also analyze acceptance in two distinctive groups of teachers: schoolteachers and academic teachers, to better understand differences in e-learning software acceptance and implementation. The results show that MS Teams is a well-accepted software and the users' intention to use MS Teams in e-learning is the same regardless of the teacher's group. There are significant differences in the perception of software characteristics between different groups. The authors analyze the potential causes of these differences and suggest practical implications for improving the quality of e-learning. The intent is not to validate UTAUT as a general technology acceptance model but to understand its practical importance in explaining use behavior in e-learning.

An Empirical Analysis of Learners' Perception of Online Learning Platform

Problem-COVID pandemic is a situation which affected every individual as well as every sector of the economy and Educational sector is not an exception. Due to pandemic the years old traditional class room teaching learning system has changed to teaching and learning through online platforms like MS Teams, Zoom and so on. As a result of this drastic change in traditional system, perception of learners has undergone huge changes which is required to be explored. Most of the studies conducted in the field of learners' perception are general study with very few focusing on finding learners' perception towards one specific online learning platform.Purpose of the Study-This study aims to find out the perception and preference of learners for an online learning platform MS Teams.Methodology-For exploring the factors associated with MS Teams as a platform for online learning, Exploratory Factor Analysis was used. Variation in perception of learners was measured by applying one-way ANOVA test. Descriptive statistics is used to study the preference of learners in the present study.Findings-The findings of study are derived from a sample of 147 online learners from a University in Rajasthan. The findings showcased the fact that there exist differences in perception of learners when they accessed online classes through tablet device and on the basis of frequency of attending the online classes. Findings of work also highlighted the fact that MS Teams can be used along with traditional teaching system as a platform for sharing contents with learners.Implication- The findings of the study will be useful for educational sector as well as online learning platform developing companies.

Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome.

INTRODUCTION: The diagnosis of COVID-19 is normally based on the qualitative detection of viral nucleic acid sequences. Properties of the host response are not measured but are key in determining outcome. Although metabolic profiles are well suited to capture host state, most metabolomics studies are either underpowered, measure only a restricted subset of metabolites, compare infected individuals against uninfected control cohorts that are not suitably matched, or do not provide a compact predictive model. OBJECTIVES: Here we provide a well-powered, untargeted metabolomics assessment of 120 COVID-19 patient samples acquired at hospital admission. The study aims to predict the patient's infection severity (i.e., mild or severe) and potential outcome (i.e., discharged or deceased). METHODS: High resolution untargeted UHPLC-MS/MS analysis was performed on patient serum using both positive and negative ionization modes. A subset of 20 intermediary metabolites predictive of severity or outcome were selected based on univariate statistical significance and a multiple predictor Bayesian logistic regression model was created. RESULTS: The predictors were selected for their relevant biological function and include deoxycytidine and ureidopropionate (indirectly reflecting viral load), kynurenine (reflecting host inflammatory response), and multiple short chain acylcarnitines (energy metabolism) among others. Currently, this approach predicts outcome and severity with a Monte Carlo cross validated area under the ROC curve of 0.792 (SD 0.09) and 0.793 (SD 0.08), respectively. A blind validation study on an additional 90 patients predicted outcome and severity at ROC AUC of 0.83 (CI 0.74-0.91) and 0.76 (CI 0.67-0.86). CONCLUSION: Prognostic tests based on the markers discussed in this paper could allow improvement in the planning of COVID-19 patient treatment.

Efficacy evaluation of an air-assisted electrostatic disinfection device for the effective disinfection and sanitization against the spread of pathogenic infections

This research aims to check the chargeability of sodium hypochlorite and the efficacy evaluation of an air-assisted electrostatic disinfection device. Five different inanimate surfaces i.e., wood, glass, stainless steel, plastic and fabric were considered to examine the performance in terms of efficacy, survival time, off-target losses, spray coverage and the volume of disinfectant consumed. A significant charge-to-mass level of 2.43 mC/kg was achieved for sodium hypochlorite at an applied voltage of 2.0 kV, a liquid flowrate of 253 ml/min and applied air pressure of 4.0 bar. The experimental results found that 1000 mg/L of sodium hypochlorite concentration effectively eliminated Pseudomonas aeruginosa, Clostridium perfringens and Bacteriophage MS2 colonies. © 2023 Elsevier B.V.

The Effects of Using MS Teams Mobile Application on Language Learners‟ Motivation During and After the Covid-19 Pandemic

Motivation has long been recognized as a critical component of language learners' success. According to Self-Determination Theory (SDT), an autonomously motivated student is more likely to be engaged in a learning activity. As the learners' needs for autonomy, competence, and relatedness ought to be accommodated, these basic psychological needs of learners (BPNs) must be addressed to sustain autonomous motivation. Although there is a substantial number of literature that addresses the role of these three components in the context of mobile-assisted language learning (MALL) and their relationship to autonomous motivation (Kohnke, 2020;Alamer, 2021b;Kartal, 2019;Ali, 2019), the use of Microsoft Teams is almost never addressed. This study aimed to examine the relationship between the informal use of mobile apps by teachers, such as messaging applications, and their students' levels of motivation. This study involved one group of students divided into six sections with the same level of proficiency, who were enrolled in a foundation course in English at a private university in the United Arab Emirates (N = 344). The students were studied over a period of time (Phase 1 and Phase 2 groups of the same population). The analyses were carried out by the use of ANOVA with repeated measures and a t-test. Participants' autonomy and competence were found to have increased slightly as a result of the study. The study, however, failed to demonstrate any significant impacts on anxiety, self-confidence, engagement with language tasks, nor on actual achievement. © 2023 World Journal of English Language.

Working with Individuals with Multiple Sclerosis During the New Normal

This chapter is a discussion on working with individuals with multiple sclerosis (MS) during the new normal that has been occasioned by the ongoing coronavirus disease-19 (COVID-19) pandemic. Due to the pandemic, many jobs have been lost and people with disabilities have faced significantly higher rates of unemployment than have those without disabilities. This chapter provides insights and strategies to help facilitate and promote new directions for serving those with MS regarding topics such as remote employment and service delivery for individuals with MS, redesigning workspaces for safe working conditions, and insights into new accommodation requirements/strategies in the new normal based on the existing legal frameworks. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

A New Drug Formula for Pneumonia and Severe Seasonal Flu; a Promising Drug for Eradicate COVID19.

World Health Organization (WHO) well-known pleiotropic antiviral compounds.This study was designed to evaluate the effects of herbal drug combination in treatment of pneumonia, severe respiratory distress, and severe flu and recently for COVID19.The treatment phase includes 12 days period of herbal drug mixture (X) . Results showed the activity of herbal drug in eradication of COVID19, pneumonia and severe seasonalful.

Metabolites and metabolomics in COVID-19

Metabolomics is a comprehensive approach for identifying, quantifying, and characterizing entire metabolites in a biological system using a high-throughput technique. Metabolomics has great potential in discovering biochemical pathways and pathway interactions, disease diagnosis, and biomarker discovery. Viral infections induce changes in the host cell metabolism resulting in cellular reprogramming. In COVID-19, the dysregulation of host metabolites has been implemented in various aspects including diagnosis and management. This chapter summarizes various applications of metabolites and metabolomics approaches in COVID-19. © 2023 Elsevier Inc. All rights reserved.