Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural and Functional Implication of Natural Variants of Gαs

Heterotrimeric guanine nucleotide-binding proteins (G proteins) are among the most important cellular signaling components, especially G protein-coupled receptors (GPCRs). G proteins comprise three subunits, Gα, Gβ, and Gγ. Gα is the key subunit, and its structural state regulates the active status of G proteins. Interaction of guanosine diphosphate (GDP) or guanosine triphosphate (GTP) with Gα switches G protein into basal or active states, respectively. Genetic alteration in Gα could be responsible for the development of various diseases due to its critical role in cell signaling. Specifically, loss-of-function mutations of Gαs are associated with parathyroid hormone-resistant syndrome such as inactivating parathyroid hormone/parathyroid hormone-related peptide (PTH/PTHrP) signaling disorders (iPPSDs), whereas gain-of-function mutations of Gαs are associated with McCune–Albright syndrome and tumor development. In the present study, we analyzed the structural and functional implications of natural variants of the Gαs subtype observed in iPPSDs. Although a few tested natural variants did not alter the structure and function of Gαs, others induced drastic conformational changes in Gαs, resulting in improper folding and aggregation of the proteins. Other natural variants induced only mild conformational changes but altered the GDP/GTP exchange kinetics. Therefore, the results shed light on the relationship between natural variants of Gα and iPPSDs.
Crocus speciosus (Iridaceae)—A New Species for the Bulgarian Flora

This is the first report on the autumn-flowering species Crocus speciosus, belonging to C. ser. Speciosi from the Bulgarian flora. The species was found in Southeastern Bulgaria, in the area between Ahtopol and Rezovo. Re-examining the Bulgarian collections, the earliest specimen was collected in 1975, was probably overlooked, and most likely determined as C. pulchellus. The nearest known localities of the species are on the territory of Türkiye. In this study, we compared C. pulchellus and C. ibrahimii using DNA sequence data from the nuclear ITS1/2 region and morphological features. Our study showed a close relationship between the specimens from Bulgaria and the recently deposited data of C. speciosus and their separation from the closely related C. pulchellus. Together with the previously cited white anthers as a key feature for determination, the molecular data confirmed a clear distinction between the samples with white anthers in the two species. The morphological data of our taxon overlapped with the description of C. ibrahimii. The molecular data strongly supported the affiliation of C. speciosus s.l. , but did not support the recognition of C. ibrahimii as a separate species and it should be referred to as a subspecies of C. speciosus subsp. ibrahimii Rukšāns.
Genomic Evidence for Direct Transmission of mecC-MRSA between a Horse and Its Veterinarian

Methicillin-resistant Staphylococcus aureus bearing the mecC gene (mecC-MRSA) has been reported from animals and humans in recent years. This study describes the first mecC-MRSA isolates of human and equine origin in Hungary (two isolates from horses and one from a veterinarian, who treated one of the infected horses, but was asymptomatic). MRSA isolates were identified by cultivation and PCR detection of the species-specific spa gene and mecA/mecC methicillin resistance genes. The isolates were characterized by antibiotic susceptibility testing, MLST, spa, SCCmec typing, PFGE and whole genome sequencing (WGS). All three isolates belonged to the ST130-t843-SCCmec XI genotype, and carried the mecC and blaZ genes. Apart from beta-lactam drugs, they were sensitive to all tested antibiotics. The isolates of the infected horse and its veterinarian had the same PFGE pulsotype and showed only slight differences with WGS. Hence, this is the first description of direct transmission of a mecC-carrying MRSA between a horse and its veterinarian. The emergence of mecC in the country highlights the importance of the appropriate diagnostics in MRSA identification.
Predictors of cognitive and physical decline: Results from the Health Aging and Body Composition Study

Background Risk factors for cognitive decline and physical decline have been studied independently, however older adults might experience decline in both areas i.e., dual decline. Risk factors associated with dual decline are largely unknown and have significant implications on health outcomes. The aim of this study is to explore risk factors associated with dual decline. Methods Using data from the Health, Aging and Body Composition (Health ABC) study, a longitudinal prospective cohort study, we examined trajectories of decline based on repeated measures of the Modified Mini-Mental State Exam (3MSE) and the Short Physical Performance Battery (SPPB) across 6 years (n=1,552). We calculated four mutually exclusive trajectories of decline and explored predictors of decline: cognitive decline (n = 306) = lowest quartile of slope on the 3MSE or 1.5 SD below mean at baseline, physical decline (n = 231) = lowest quartile of slope on the SPPB or 1.5 SD below mean at baseline, dual decline (n = 110) = lowest quartile in both measures or 1.5 SD below mean in both measures at baseline. Individuals who did not meet criteria for one of the decline groups were classified as the reference group. (n= 905). Results Multinomial logistic regression tested the association of 17 baseline risk factors with decline. Odds of dual decline where significantly higher for individuals at baseline with depressive symptoms (CES-D >16) (Odds Ratio (OR)=2.49, 95% Confidence Interval (CI): 1.05-6.29), ApoE-ε4 carrier (OR= 2.09, 95% CI: 1.06-1.95), or if individuals had lost 5+lbs in past year (OR=1.79, 95% CI: 1.13-2.84). Odds were significantly lower for individuals with a higher score on the Digit Symbol Substitution Test per standard deviation (OR per SD: 0.47, 95% CI 0.36-0.62) and faster 400-meter gait (OR per SD= 0.49, 95% CI: 0.37-0.64). Conclusion Among predictors, depressive symptoms at baseline significantly increased the odds of developing dual decline but was not associated with decline in the exclusively cognitive or physical decline groups. APOE-ε4 status increased the odds for cognitive decline and dual decline but not physical decline. More research on dual decline is needed because this group represents a high risk, vulnerable subset of older adults.
Four new species of the genus Diploderma Hallowell, 1861 (Squamata, Agamidae) from China

﻿Abstract Four new species of Diploderma are described from Sichuan and Yunnan provinces, southwestern China, based on an integrative taxonomic approach, combining morphological and genetic data. The first new species from Danba County, Sichuan Province, is morphologically most similar and phylogenetically closely related to D.flaviceps, but it can be diagnosed from the latter by having a relatively much shorter tail and by a genetic distance of 4.4% in the ND2 gene; the second new species from Muli County, Sichuan Province, is phylogenetically closely related to D.daochengense, D.yongshengense, and D.yulongense, but it can be diagnosed from the latter three species by having a pale yellow gular spot and by genetic distances of 5.6–6.7% in the ND2 gene; the third new species from Jiulong County, Sichuan Province, is morphologically most similar and phylogenetically closely related to D.angustelinea, but it can be diagnosed from the latter by having a relatively much longer tail and by a genetic distance of 2.8% in the ND2 gene; and the last new species from Weixi County, Yunnan Province, is phylogenetically closely related to D.aorun, but it can be diagnosed from the latter by having a pale yellow gular spot and by a genetic distance of 2.9% in the ND2 gene. Our work brings the number of species within the genus Diploderma to 46.
Threat Appraisal, Resilience, and Health Behaviors in Recovered COVID-19 Patients: The Serial Mediation of Coping and Meaning-Making

Research indicates that both cognitive appraisal and personal resources can noticeably influence health behaviors, as individuals modify their health convictions and practices on the basis of threat appraisal, personality, and meaning. The aim of the current study was to investigate whether coping strategies and meaning-making can serially mediate the relationship of threat appraisal and resilience with health behaviors in recovered COVID-19 patients. Self-report measures of threat appraisal, resilience, coping, meaning-making, and health behaviors were completed by 266 participants (aged 17 to 78, 51.5% female) who had recovered from COVID-19. The serial mediation analysis showed that the relationship of threat appraisal and resilience with health behaviors was mediated by problem-focused coping, meaning-focused coping, and meaning-making, but not by emotion-focused coping. These results suggest that associations among threat perception, resilience, and health behavior depend to some extent on the interplay of coping and meaning-making, which reveals their unique role in the process of recovery from COVID-19, with potential implications for health interventions.
Intraobserver and Interobserver Agreement between Six Radiologists Describing mpMRI Features of Prostate Cancer Using a PI-RADS 2.1 Structured Reporting Scheme

Clinical practice has revealed ambiguities in PI-RADS v2.1 scoring, but a limited number of studies are available that validate the interreader and intrareader reproducibility of the mpMRI PI-RADS lexicon. We decomposed the PI-RADS rules into a set of common data elements to evaluate the inter- and intraobserver agreement in assessing the individual features included in the PI-RADS lexicon. Six radiologists (three highly experienced, three less experienced) in two sessions independently read thirty-two lesions in the peripheral and transition zone using the structured reporting tool, blinded to clinical MRI indication. The highest agreement between radiologists was observed for the abnormality detection, the evaluation of the type of signal intensity, and the characteristic of benign prostatic hyperplasia. Moderate agreement was reported for dynamic contrast-enhanced images. This resulted in a decrease in abnormality detection (PA = 76.5%) and enhancement indication (PA = 77.3%). The lowest agreement was observed for highly subjective features: shape, signal intensity level, and type of lesion margins. The results indicate the limitations of the PI-RADS v2.1 lexicon in relation to interreader and intrareader reproducibility. We have demonstrated that it is possible to develop structured reporting systems standardized according to the PI-RADS lexicon.
Newton vs Stokes : competing forces in granular matter

Granular materials can be encountered everywhere and are very important in industry. The first step in understanding these materials is normally to focus upon gravity and mechanical contact forces only. While this is a valid approximation when the particles are large, for smaller particles also the ambient air has a pronounced influence and must be taken into account. In this thesis we focus on particles where the “Stokesian” forces (drag, air pressure) and the “Newtonian” forces (from collisions and gravity) compete for dominance. Two examples that illustrate this in a particularly clear manner are the formation and coarsening of Faraday heaps and the appearance of regular and inverse Chladni patterns on a resonating plate. We study these systems by a hybrid Granular Dynamics – Computational Fluid Dynamics numerical code and compare the results with experiments. The simulations enable us to provide detailed explanations for these phenomena.
Sampling Dermal Interstitial Fluid Using Microneedles: A Review of Recent Developments in Sampling Methods and Microneedle‐Based Biosensors

Although interstitial fluid (ISF) is recognized as an important source of biomarkers, it is difficult and time‐consuming to extract, thus limiting its use in medical diagnostic and clinical settings. An inexpensive and effective technique for accessing ISF could benefit people with various health conditions and offer platforms for on‐device sensing biomarkers. Microneedles (MNs) are minimally invasive devices that have gained extensive interest over recent decades. MNs can address some of the challenges associated with ISF extraction and sensing. Accessing ISF using MNs has the potential to develop advanced, non‐invasive point‐of‐care (POC) microdevices that enable detection or continuous monitoring within the dermal ISF, therefore drastically impacting the healthcare system. This review describes recent studies exploring MN devices for ISF sampling and sensing. Several extraction processes, sampling volume, sampling duration, integration with biosensors, sensing of biomarkers, and subsequent analysis of ISF are discussed in detail. Furthermore, opportunities, conclusions, and future prospects for developing new research in the field are also discussed.
An integer programming model for the weekly tour scheduling problem

We study a workforce planning and scheduling problem in which weekly tours of agents must be designed. Our motivation for this study comes from a call center application where agents serve customers in response to incoming phone calls. Similar to many other applications in the services industry, the demand for service in call centers varies significantly within a day and among days of the week. In our model, a weekly tour of an agent consists of five daily shifts and two days off, where daily shifts within a tour may be different from each other. The starting times of any two consecutive shifts, however, may not differ by more than a specified bound. Furthermore, a tour must also satisfy constraints regarding the days off, for example, it may be required that one of the days off is on a weekend day. The objective is to determine a collection of weekly tours that satisfy the demand for agents' services, while minimizing the total labor cost of the workforce. We describe an integer programming model where a weekly tour is obtained by combining seven daily shift scheduling models and days‐off constraints in a network flow framework. The model is flexible and can accommodate different daily models with varying levels of detail. It readily handles different days‐off rules and constraints regarding start time differentials in consecutive days. Computational results are also presented. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 607–624, 2001.
Transition to the normal state induced by high current densities inYBa2Cu3O7−δthin films: A thermal runaway account

By using a finite-element method we analyze at a quantitative level the abrupt jump to the normal state in high-${T}_{c}$ films observed when measuring their current-voltage characteristics at current densities, ${J}^{\ensuremath{\ast}}$, which are between two to three times their critical current density, ${J}_{c}$. The experimental data that this analysis focuses on are from ${\text{YBa}}_{2}{\text{Cu}}_{3}{\text{O}}_{7\ensuremath{-}\ensuremath{\delta}}$ films, measured between 75 K and ${T}_{c}\ensuremath{\approx}90\text{ }\text{K}$ and under zero applied magnetic field. Our main starting point is the assumption that the constant-temperature curves, i.e., that would be measured at arbitrarily short measuring time, are smooth and so jumpless. When taking into account the finite measuring times, the highly nonlinear nature of the film's electrical conductivity, and the thermal properties of the substrate, simulation by the finite-element method shows that a thermal runaway takes place that explains, without free parameters, the experimental jumps to a 5% accuracy. The voltage values prior to the jump are also coherently accounted for with similar accuracy. No critical mechanism such as the vortex instability model from Larkin-Ovchinikov or any others are needed for this quantitative agreement to our measurements, though they can become dominant under different refrigeration conditions, temperature range, or magnetic-field application.
Comparison of Target Pocket Similarity and Progress into Research on Inhibitors of Picornavirus 3C Proteases

The 3C protease (3C Pro) plays a significant role in the life cycle of picornaviruses from replication to translation, making it an attractive target for structure‐based design of drugs against picornaviruses. The structurally related 3C‐like protease (3CL Pro) is an important protein involved in the replication of coronaviruses. With the emergence of COVID‐19 and consequent intensive research into 3CL Pro, development of 3CL Pro inhibitors has emerged as a popular topic. This article compares the similarities of the target pockets of various 3C and 3CL Pros from numerous pathogenic viruses. This article also reports several types of 3C Pro inhibitors that are currently undergoing extensive studies and introduces various structural modifications of 3C Pro inhibitors to provide a reference for the development of new and more effective inhibitors of 3C Pro and 3CL Pro.
Qualms about Bootstrap Confidence Intervals

Abstract The percentile method and bias-corrected percentile method of Efron (1981, 1982) are discussed. When these methods are used to construct nonparametric confidence intervals for the variance of a normal distribution, the coverage probabilities are substantially below the nominal level for small to moderate samples. This is due to the inapplicability of assumptions underlying the methods. These assumptions are difficult or impossible to check in the complicated situations for which the bootstrap is intended. Therefore, bootstrap confidence intervals should be used with caution in complex problems.
Improving Multiple Pedestrian Tracking in Crowded Scenes with Hierarchical Association

Recently, advances in detection and re-identification techniques have significantly boosted tracking-by-detection-based multi-pedestrian tracking (MPT) methods and made MPT a great success in most easy scenes. Several very recent works point out that the two-step scheme of first detection and then tracking is problematic and propose using the bounding box regression head of an object detector to realize data association. In this tracking-by-regression paradigm, the regressor directly predicts each pedestrian’s location in the current frame according to its previous position. However, when the scene is crowded and pedestrians are close to each other, the small and partially occluded targets are easily missed. In this paper, we follow this pattern and design a hierarchical association strategy to obtain better performance in crowded scenes. To be specific, at the first association, the regressor is used to estimate the positions of obvious pedestrians. At the second association, we employ a history-aware mask to filter out the already occupied regions implicitly and look carefully at the remaining regions to find out the ignored pedestrians during the first association. We integrate the hierarchical association in a learning framework and directly infer the occluded and small pedestrians in an end-to-end way. We conduct extensive pedestrian tracking experiments on three public pedestrian tracking benchmarks from less crowded to crowded scenes, demonstrating the proposed strategy’s effectiveness in crowded scenes.
THE IMPACT OF WORKING CAPITAL MANAGEMENT ON SME PROFITABILITY – EVIDENCE FROM KOSOVO

The study attempts to show the impact of working capital management on the profitability of ninety-eight Kosovo-based SMEs, primarily in the manufacturing and construction sectors. The data were obtained from the financial statements of these companies for the years 2010 through 2020, and the assumptions were verified using the Ordinary least square (OLS) method. To express SMEs profitability, return on assets (ROA) is taken as a dependent variable, while to express working capital management, independent variables are taken: the inventory turnover period (INTP), receivables collection period (TRCP), trade payable period (TPP), and cash conversion cycle (CCC). In addition, are taken four control variables (size of companies, current ratio, sustainable growth, and leverage), which are not a variable of interest in the study but could influence the outcomes. The results reveal that SMEs increase profitability by decreasing the cash INTP and increasing TRCP, TPP, and CCC. By analyzing the effect of working capital management on profitability in the context of SMEs in Kosovo, this research contributes new knowledge to the existing literature.
Conductive and Thermo-Responsive Composite Hydrogels with Poly(N-isopropylacrylamide) and Carbon Nanotubes Fabricated by Two-Step Photopolymerization

Biocompatible and conductive polymer hydrogels are the subject of intensive research in the bioengineering field because of their use in bioelectronic devices and for the fabrication of electro-responsive tissues and drug delivery systems. In this study, we report the synthesis of conductive composite hydrogels consisting of a poly(N-isopropylacrylamide) (PNIPAM) matrix embedding carboxyl-functionalized multi-walled carbon nanotubes (MWCNT-COOH) using a two-step photopolymerization method. Thermo-responsive hydrogels with controlled hydrophilicity and conductivity were prepared by varying the carbon nanotube concentration in the range 0.5–3 wt%. The thermal response of the PNIPAM-based composite hydrogels was measured by differential scanning calorimetry with both ultrapure water and PBS solution as swelling liquid. Results show that the endothermic peak associated with the temperature-induced volume phase transition (VPT) shifts to higher temperatures upon increasing the concentration of the nanotubes, indicating that more energy is required to dissociate the hydrogen bonds of the polymer/filler network. In PBS solution, the swelling ratios and the VPT temperatures of the composite hydrogels are reduced because of salt-induced screening of the oppositely charged polymer/filler assembly, and the electrical resistivity decreases by a factor of 10 with respect to the water-swollen hydrogels.
Structural Nonlinear Damage Identification Method Based on the Kullback-Leibler Distance of Time Domain Model Residuals

Under external load excitation, damage such as breathing cracks and bolt loosening will cause structural time domain acceleration to have nonlinear features. To solve the problem of time domain nonlinear damage identification, a damage identification method based on the Kullback–Leibler (KL) distance of time domain model residuals is proposed in this paper. First, an autoregressive (AR) model order was selected using the autocorrelation function (ACF) and Akaike information criterion (AIC). Then, an AR model was obtained based on the structural acceleration response time series, and the AR model residual was extracted. Finally, the KL distance was used as a damage indicator to judge the structural damage source location. The effectiveness of the proposed method was verified by using a multi-story, multi-span stand model experiment and a simulated eight-story shear structure. The results show that the proposed structural nonlinear damage identification method can effectively distinguish the structural damage location of multi-degree-of-freedom shear structures and complex stand structures, and it is robust enough to detect environmental noise and small damage.