This research investigated renovation considerations and design strategies for post-pandemic, hybrid office environment within an academic institution. The focus was on two case-study office spaces that are part of the same organization at the University of Utah, where the existing physical space was insufficient for future growth and non-functional for its novel, hybrid work mode structure. The objective was to evaluate the physical conditions of the existing office spaces, to investigate the employees’ working patterns and office culture, and to propose renovation strategies that would meet both the current and the projected future needs that support a hybrid work structure. The study was based on mixed-mode research methods, which included qualitative and quantitative methods. Qualitative methods included archival and empirical research of the existing office space conditions, as well as users’ input through online survey and focus group interviews. Using the latest, as-built construction drawings and current state photographs, 3D BIM models of each of the two office wings were developed, inclusive of their structural elements, partition walls, existing lighting fixture locations and specific furniture arrangements. These models were then used for egress, circulation, daylighting, and existing space planning analysis. Literature review was also conducted, identifying rising trends and design considerations for hybrid office workflow. Surveys and focus group interviews were conducted with current employees of the two offices to evaluate work patterns and space needs through user insight. Meanwhile, quantitative methods included quantitative analysis of the survey and focus group interview results, computational modeling, and visualization of the existing and proposed design strategies, as well as a review and validation of final design’s egress and accessibility compliance. Through several design option iterations, these results were used to provide space planning strategies and recommendations that meet the specific needs of these two office spaces. The final design, which considered users’ input regarding team dynamics, work schedules, and specific space and function needs, achieved a significant improvement in balances between team and individual space functions, private and public circulation, access to daylight and accessibility, while respecting the existing wall partitions, egress paths and occupancy counts. Moreover, the design solutions provided inclusive, comfortable, and functional spaces that catered to the specific work culture and individualized needs of employees. While this research focused on two specific case-studies, results demonstrate that through a user-integrated approach, significant improvements can be achieved to provide well-functioning spaces and a more comfortable and inclusive working environment. Additionally, the presented process that focuses on user-input and participation in the renovation design process can be applied to other existing, traditionally structured office spaces when transitioning to a hybrid office structure.

In this research, the SWAT+ model was employed to elucidate hydrological dynamics within the Beas Basin. The primary objectives encompassed the calibration of the SWAT model for accurate water balance quantification, annual simulation of salient hydrological components, and a decadal analysis of trends in fluvial discharge and sediment transport. The methodology encompasses simulating hydrological data with the SWAT+ model, followed by calibration and validation using flow data from Larji and Mahadev hydroelectric plants. The model’s efficacy in depicting streamflow and other hydrological components is corroborated by statistical measures such as the Nash–Sutcliffe efficiency and PBIAS. The water balance analysis delivers insights into the basin’s hydrological characteristics, including surface flow, water yield, and evapotranspiration. The temporal analysis exposes intricate seasonal and interannual variability in flow and sediment discharge, while spatial distribution highlights heterogeneity across the basin. These findings have practical implications for water resource management, including optimizing water allocation, hydroelectric power generation, irrigation, and environmental concerns. Limitations, such as data quality and model simplifications, are acknowledged, and future data collection and observations are recommended for improved model performance. In essence, these researches enhance understanding of the Beas Basin’s hydrology, setting a course for future investigations to integrate more data sources, refine model parameters, and consider climate and land-use changes for a richer comprehension of the basin’s hydrological dynamics.

COVID-19 is characterised by systemic immunological perturbations in the human body, which can lead to multi-organ damage. Many of these processes are considered to be mediated by the blood. Therefore, to better understand the systemic host response to SARS-CoV-2 infection, we performed systematic analyses of the circulating, soluble proteins in the blood through global proteomics by mass-spectrometry (MS) proteomics. Here, we show that a large part of the soluble blood proteome is altered in COVID-19, among them elevated levels of interferon-induced and proteasomal proteins. Some proteins that have alternating levels in human cells after a SARS-CoV-2 infection in vitro and in different organs of COVID-19 patients are deregulated in the blood, suggesting shared infection-related changes.The availability of different public proteomic resources on soluble blood proteome alterations leaves uncertainty about the change of a given protein during COVID-19. Hence, we performed a systematic review and meta-analysis of MS global proteomics studies of soluble blood proteomes, including up to 1706 individuals (1039 COVID-19 patients), to provide concluding estimates for the alteration of 1517 soluble blood proteins in COVID-19. Finally, based on the meta-analysis we developed CoViMAPP, an open-access resource for effect sizes of alterations and diagnostic potential of soluble blood proteins in COVID-19, which is publicly available for the research, clinical, and academic community.

The paper deals with a proposal and implementation of the quantum key distribution in the 5G campus network. The authors share here their practical experience with the implementation of quantum cryptography in 5G which has been achieved within projects the NATO QUANTUM5 and the Czech Ministry of Interior NeSPoQ, both project contributing to the security of 5G mobile networks. Finally, the results of the experimental research demonstrate how the network performance is affected by the use of QKD.

Using a strong-field-approximation theory, we investigate the high-order above-threshold ionization of diatomic molecules exposed to the monochromatic and bichromatic elliptically polarized fields. We devote particular attention to the difference between the photoelectron momentum distributions obtained with fields with opposite helicity. This difference is quantified using the elliptic-dichroism parameter, which represents the normalized difference between the differential ionization rates calculated with driving fields with opposite helicity. We find that this parameter strongly depends on the molecular orientation with respect to the laser field. In addition, this dependence is different for molecules with different types of highest-occupied molecular orbital. In other words, we show that the molecular structure is imprinted onto the elliptic-dichroism parameter for both monochromatic and bichromatic driving fields. This is explained by analyzing the interferences between various partial contributions to the differential ionization rate. In this way, elliptic dichroism also serves as a tool to analyze the electron dynamics. Finally, for heteronuclear diatomic molecules, we show that the elliptic dichroism is different from zero even for the direct electrons, i.e., the electrons that after liberation go directly to the detector. In this case, the dependence on the molecular orientation is far more pronounced for a bichromatic driving field.

Introduction After 2000, there are more obese than underweight people in the world. We face a rapid increase in average global warming of 1.5°C, reported as a syndemic problem of three interconnected epidemics: obesity, global warming, and undernutrition. We aimed to analyze the impact and association between global warming and obesity in children and differences by gender across Europe after 2000. Methods We searched PubMed, MEDLINE, Google Scholar, ScienceDirect, and Embase databases. The considered population were children aged 6–14. Only cross-sectional studies that defined obesity by the IOTF cutoffs and the subjects’ place of residence, used to determine precise climate zones, were included. We assessed the prevalence of obesity and overweight using a random-effects and the Mantel–Haenszel fixed-effect method when heterogeneity was greater/lower than 50%. We did a subgroup analysis for prevalence across gender, obesity, and overweight, two decades, regions, countries, and the Köppen–Geiger climate zones. Random effects of the meta-regression were used to study the global warming impact and differences in trends across European countries by gender for both conditions separately. Results We identified 114 studies that included 985,971 children from 39 European countries. A significant difference between genders was in favor of obese girls 4.78 (95% CI: 3.85–5.93) versus boys 5.76% (95% CI: 5.11–6.48, p = 0.03), respectively, but not for overweight children. Most of the obese girls were in South Europe 7.51% (95% CI: 6.61–8.51) versus East Europe 2.86% (95% CI: 23–3.12), versus boys in South Europe 8.66% (95% CI: 7.68–9.74) and North Europe 3.49% (95% CI: 2.90–4.19), respectively. The “cold” Köppen–Geiger climate zone, with lowest temperatures, has the largest trend rise between two decades of 2.8% and 1.53% for obese girls and boys, and 5.31% and 1.81% for overweight girls and boys, respectively, followed by the smallest number of obese girls 3.28% (95% CI: 2.17–4.92) and boys 3.58% (95% CI: 2.39–5.33), versus the zone with the highest temperatures “hot” for girls 7.02% (95% CI: 6.30–7.82) and for boys 8.23% (95% CI: 7.55–8.96), respectively. The meta-regression proved global warming has a significant impact on the distribution of obesity and overweight across climate zones, R2 = 0.52 and R2 = 0.22. No significant gender differences, or significant interaction, was noted. Conclusion Our meta-analysis provides a comprehensive overview of the association between and impact of global warming on obesity. This impact increases obesity among children in Europe throughout all climate zones, and emphasizes an urgent call for further preventive methods in schools, since obesity differences continue their trend of disappearing into the future. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021282127, identifier: CRD42021282127.

We propose an economical model to address the mass hierarchies of quarks and charged leptons. The light generations of the left-handed fermions form doublets under an SU(2)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \textrm{SU}(2) $$\end{document} flavor symmetry, which is gauged. The generational hierarchies emerge from three independent rank-one contributions to the Yukawa matrices: one is a renormalizable contribution, the second is suppressed by a mass ratio, and the last by an additional loop factor. The model is renormalizable, features only a handful of new fields, and is remarkably simple compared to typical completions of gauged flavor symmetries or Froggatt–Nielsen. The model has a rich phenomenology, and we highlight promising signatures, especially in the context of K and B meson physics. This includes an interpretation of the latest B+→K+νν¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$B^+ \rightarrow K^+ \nu \bar{\nu }$$\end{document} measurement from Belle II.

Abstract Dietary creatine has been recently put forward as a possible intervention strategy to reduce post‐COVID‐19 fatigue syndrome yet no clinical study so far evaluated its efficacy and safety for this perplexing condition. In this parallel‐group, randomized placebo‐controlled double‐blind trial, we analyzed the effects of 6‐month creatine supplementation (4 g of creatine monohydrate per day) on various patient‐ and clinician‐reported outcomes, and tissue creatine levels in 12 patients with post‐COVID‐19 fatigue syndrome. Creatine intake induced a significant increase in tissue creatine levels in vastus medialis muscle and right parietal white matter compared to the baseline values at both 3‐month and 6‐month follow‐ups (p < .05). Two‐way analysis of variance with repeated measures revealed a significant difference (treatment vs. time interaction) between interventions in tissue creatine levels (p < .05), with the creatine group was superior to placebo to augment creatine levels at vastus medialis muscle, left frontal white matter, and right parietal white matter. Creatine supplementation induced a significant reduction in general fatigue after 3 months of intake compared to baseline values (p = .04), and significantly improved scores for several post‐COVID‐19 fatigue syndrome‐related symptoms (e.g., ageusia, breathing difficulties, body aches, headache, and difficulties concentrating) at 6‐month follow‐up (p < .05). Taking creatine for 6 months appears to improve tissue bioenergetics and attenuate clinical features of post‐COVID‐19 fatigue syndrome; additional studies are warranted to confirm our findings in various post‐COVID‐19 cohorts.

Abdominal pain is highly prevalent in patients with inflammatory bowel disease (IBD) in remission, but the aetiology is incompletely understood.

Background Pharmacotherapy literacy (PTHL) is a specific ability to safely access, appraise and understand the available information concerning medication and to calculate and act accordingly. The concept of PTHL is mostly unknown for the majority of diabetes mellitus type 2 (DMT2) patients in Serbia. With diabetes being one of the major public health problems in Serbia with a prevalence of 9.1%, this two-study research aims at constructing performance-based instrument and estimating the prevalence of PTHL levels and identification of predictors of low PTHL scores in patients with DMT2. Methods Multistage study was performed to adapt the existing performance–based instrument (PTHL-SR) into specific questionnaire for DMT2 population (PTHL-DM instrument). PTHL levels were assessed through cross-sectional study categorising patients into groups of low, medium, and high PTHL levels. We considered 19 predictors for low PTHL scores, from sociodemographic characteristics, health behaviours and health characteristics, access to health-related information and empowerment-related indicators. Univariate and multivariate logistic regression analyses were used to determine independent predictors of low PTHL. Results The final 15-item PTHL-DM instrument proved to have satisfactory reliability (KR20 = 0.475) and internal reliability [ICC for the whole instrument was 0.97 with 95% confidence intervals (0.95–0.99)]. Positive correlation (rho = 0.69) between PTHL-DM score (15 questions) and the total PTHL-SR score (14 questions) was also observed. It was demonstrated that the majority of 350 patients had low PTHL (62%), and only 5% high PTHL level. Mean score on PTHL-DM was 7.8 ± 2.3. Probability of low PTHL increased among smokers, patients with low interest in health and those who estimated their health as bad. Patients who used pharmacists as sourse of information were less likely to be pharmacotherapy illiterate. Combined therapy with insulin and Oral Hypoglycemic Agents was associated with higher PTHL. Conclusions Our data indicate that specific PTHL-DM tool is objective, valid, and reliable. It was found that low level of PTHL prevailed among DMT2 patients. Medication literacy is influenced by age, residence, education, and family status. Patients with better health literacy also reported better health behaviours. Different patient empowerment programs and approaches aimed at raising PTHL would be essential to improve self-management and control of this widespread chronic disease in Serbia.

Origanum vulgare L. has been proven to be the strongest herbal antiseptic in the world, native to the Mediterranean region, but is widely naturalized elsewhere in the temperate Northern Hemisphere. This study aimed to estimate the phytotoxic effect of three different concentrations of oregano essential oil (O. vulgare) on three selected plant species namely, wheat, tomato and mint using biotest germination and effects on seedling growth, as well as its toxicological properties using Allium test. Our results revealed that oregano essential oil exhibits allelopathic effect on selected species. All three tested concentrations of oregano essential oil caused a significant inhibition of Allium cepa L. root growth, as well as a reduction in the mitotic index values in A. cepa meristem cells. O. vulgare essential oil demonstrated phytotoxic and antiproliferative effects. Further research is needed to confirm our results.

Most of the papers that treat the composition of essential oils for this purpose use GC/MS or GC/MS and GC/FID techniques for the identification and/or quantification of individual compounds. Therewithal, papers usually treat the composition as semiquantitative (percentage composition as the area of the peak of a particular compound in relation to the total area of the peaks on the chromatogram, given as 100 %). At the same time, the quality of the results is not treated in metrological terms. A GC/MS method for the quantification of components present Helichrysum italicum hydro-distilled essential oil samples from Bosnia and Herzegovina with a similar composition was developed and optimized. The stability of the method setup and adequacy of sample storage and manipulation were assessed. Calibration method and assessment of measurement uncertainty were established for neryl acetate, one of the major compounds with known health benefits.