Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of a Danish Post-COVID Cohort Referred for Examination due to Persistent Symptoms Six Months after Mild Acute COVID-19

Background: Post-COVID Clinics were recommended for patients with persistent symptoms following COVID-19, but no specific tests were suggested for evaluation. This study aimed to present a post-COVID clinic patient cohort and evaluate the use of a post-COVID symptom questionnaire (PCQ) score. Methods: Patients were referred from a population of approximately 1 million citizens. PCQ and standardized health scales were registered. Descriptive analyses were performed to assess the prevalence of symptoms, and correlation analyses was undertaken to asses convergent and discriminant trends between PCQ scores and health scales. Results: Of 547 patients, 447 accepted inclusion. The median age was 47 years and 12% of the patients were hospitalized. At a median of 6.3 (IQR 4.4–9.9) months after the onset of symptoms, 82% of the patients reported both physical exhaustion and concentration difficulties. Functional disability and extreme fatigue were reported as moderate to severe by 33% and 62% of the patients, respectively. The PCQ score correlated significantly with each of the standardized health scales. Conclusion: Patients referred to a Post-COVID Clinic were previously generally healthy. At the time of diagnosis, they reported multiple symptoms with severely affected health. The PCQ score could be used as valid measure of Post-COVID severity.
Use of von Mises yield criterion for solving axisymmetric stability problems

By using the von Mises yield criterion, a numerical formulation has been proposed for solving an axisymmetric stability problem with the usage of the lower bound limit analysis, finite elements and nonlinear optimisation. The proposed formulation has been employed for computing the bearing capacity factor Nc for an axially loaded circular footing in clays whose cohesion increases linearly with the depth under undrained (= 0) condition. To check the efficiency of the proposed nonlinear optimisation algorithm, the linear optimisation has also been performed. The results obtained from the present study are found to compare well with the different numerical solutions reported in the literature.
Effectiveness of Mechanical Horse-Riding Simulator-Based Interventions in Patients with Cerebral Palsy—A Systematic Review and Meta-Analysis

Background: Mechanical horse-riding simulator (HRS) exercises are a type of therapy based on the use of robotic or mechanical devices that produces movement similar to a real horse with the aim of simulating hippotherapy. This review analyses the effectiveness of HRS therapies in patients with cerebral palsy (CP). Methods: A systematic review and a meta-analysis were carried out by searching studies in PubMed Medline, SCOPUS, Web of Science, CINAHL, PEDro and SciELO up until October 2022. We selected clinical trials that assessed the effectiveness of HRS therapy, compared to other interventions, in patients with CP. The main variables were gross motor function (its global score and dimensions, such as sitting ability), functional balance, spasticity, hip range of motion (ROM), posturographic balance and satisfaction. The risk of bias was assessed using the Cochrane Risk of Bias Tool. The pooled effect was calculated using Cohen’s Standardized Mean Difference (SMD) for a 95% confidence interval (95% CI). Results: Twelve studies were included in the systematic review, and 10 were included in the meta-analysis, providing data from 343 patients with spastic diplegic CP. Our findings revealed that HRS plus physiotherapy is more effective than physiotherapy in improving the total gross motor function (SMD 0.98; 95% CI 0.35–1.62), sitting ability of the gross motor function (SMD 0.84; 95% CI 0.32–1.36) and functional balance (SMD 0.6; 95% CI 0.1–1.08), and HRS therapy is better than sham to improve pelvic abduction ROM (SMD 0.79; 95% CI 0.21–1.37). Conclusions: Horse-riding simulator-based therapy is an effective therapy to improve gross motor function, functional balance and abduction pelvic ROM in children with CP, in comparison to physiotherapy or sham.
The indirect to direct band gap transition in multilayered MoS2 as predicted by screened hybrid density functional theory

Molybdenite (MoS2) undergoes a transition from an indirect to direct gap semiconductor exhibiting strong photoluminescence when confined in a 2D monolayer. We investigate the effect of interlayer interactions on the band structure and density of states using the screened hybrid functional of Heyd, Scuseria, and Ernzerhof. We show that for the bulk and monolayer systems, our short-range screened hybrid functional produces band gaps in good agreement with experiment. Our functional includes only interlayer interactions of non-van der Waals origin, predicts properties consistent with recent experiments, and provides predictions for few-layered systems.
Excitation of edge waves by waves incident on a beach

It is shown theoretically that surface waves incident on a beach from deep water can excite edge waves. In particular, a standing wave normally incident on a beach of constant gentle slope is found to transfer energy to edge waves through a weak resonant interaction resulting from an instability of the incident wave with respect to perturbation by edge waves. The analysis is based on the shallow water approximation and ignores the earth's rotation and consequently applies only to relatively low-mode, high-frequency waves. Coupling coefficients, frequencies, and longshore wave numbers of the excited waves are given. In accordance with Hasselmann's (1967) rule, only edge waves with frequencies lower than the frequency of the incident wave are excited by this mechanism. Viscous effects suggest that an edge wave with a frequency one-half that of the incident wave is preferentially excited.
Lymphocyte activation gene (LAG)-3 is a potential immunotherapeutic target for microsatellite stable, programmed death-ligand 1 (PD-L1)-positive endometrioid endometrial cancer

Objective Immune checkpoint inhibitors have been widely used in the treatment of endometrial cancer (EC) with microsatellite instability-hypermutated (MSI-H). However, there is an unmet need for microsatellite stable (MSS) EC because of their modest activity. This study aimed to identify potential immune-related biomarkers in MSS EC. Methods One hundred and twenty-three patients with EC who underwent hysterectomy were enrolled. MSI status was determined using MSI analysis and/or immunohistochemical staining for mismatch repair proteins. Immunohistochemical analysis of programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), PD-L2, cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), cluster of differentiation 3 (CD3), CD8, lymphocyte activation gene-3 (LAG-3), indoleamine 2,3-dioxygenase 1 (IDO1), phosphatase and tensin homolog (PTEN), p53, AT-rich interactive domain-containing protein 1A (ARID1A), and β-catenin was performed using tissue microarray blocks. Results Among 123 patients, 95 (77.2%) were classified as having MSS. Within EC with MSS, PD-L1 positivity was significantly associated with positive PD-1 (p<0.001), CTLA-4 (p<0.001), CD3 (p=0.002), CD8 (p<0.001), and LAG-3 (p<0.001). In the univariate analysis, positive PD-1 (odds ratio [OR]=9.281; 95% confidence interval [CI]=2.560–33.653; p<0.001), CTLA-4 (OR=5.33; 95% CI=1.418–19.307; p=0.005), CD3 (OR=5.571; 95% CI=1.746–17.775; p=0.004), CD8 (OR=6.909; 95% CI=2.647–18.037; p<0.001), and LAG-3 (OR=9.75; 95% CI=1.947–48.828; p=0.005) were significantly associated with PD-L1 positivity in MSS EC. In the multivariate analysis, LAG-3 demonstrated a significant association with positive PD-L1 expression in MSS EC (OR=5.061; 95% CI=1.534–16.693; p=0.023). Conclusion In patients with MSS EC harboring PD-L1, LAG-3 may be a potential immunotherapeutic target. Clinical trials investigating the role of anti-LAG-3 antibodies, alone or in combination with other immunotherapies, are warranted.
Indoor Visible Light Positioning Based on Improved Particle Swarm Optimization Method With Min-Max Algorithm

In this paper, an improved particle swarm optimization (IPSO) algorithm is proposed to solve the problem of premature convergence and redundant particles of the original PSO used in visible light positioning (VLP) systems. In the proposed IPSO algorithm, an adaptive particle initialization method based on Min-Max algorithm is used to adjust the number of particles and ensure that there are always particles near the target node (TN). Moreover, a nonlinear decreasing strategy of inertia weight is designed to ensure the stability of particle velocity during the iterative process. Simulation results show that, compared with the original PSO algorithm, the averaged positioning accuracy of the proposed IPSO-Min-Max algorithm is enhanced significantly at the expense of limited time consumption. What’s more, we also find that for the proposed IPSO-Min-Max algorithm the increase of particle generation spacing will reduce the positioning delay but with the penalty in positioning accuracy. Therefore, it is necessary to select an appropriate particle spacing value according to specific requirements.
Improving Bug Localization With Effective Contrastive Learning Representation

Automated localization of buggy files can accelerate developers’ efficiency of software maintenance, improving the quality of software products. State-of-the-art approaches for bug localization is based on neural networks, e.g., RNN or CNN, and can learn semantic feature from the given bug report. However, these simple neural architectures are difficult to learn the deep contextual feature from bug reports, which hurts the semantic mapping between bug reports and their corresponding buggy files. To resolve the above problem, in this paper we propose a bug localization approach that combines pre-trained language models and contrastive learning, namely CoLoc. Specifically, CoLoc first is pre-trained on a large-scale bug report corpus in an unsupervised way, to learn the deep contextual feature of each token in the bug report according to its context. Afterward, CoLoc is further pre-trained by a contrastive learning objective to learn the contrastive learning representations both of bug reports and buggy files. Contrastive learning can help CoLoc to learn the semantic differences between different bug reports and buggy files. To evaluate the effectiveness of CoLoc, we choose five baseline approaches and compare their performance on a public dataset. The experimental results show that CoLoc outperforms all baseline approaches by up to 76.00% in terms of MRR, achieving new results for bug localization.
Fractal geometry model for effective thermal conductivity of three-phase porous media

An approximate model, a fractal geometry model, for the effective thermal conductivity of three-phase/unsaturated porous media is proposed based on the thermal-electrical analogy technique and on statistical self-similarity of porous media. The proposed thermal conductivity model is expressed as a function of porosity (related to stage n of Sierpinski carpet), ratio of areas, ratio of component thermal conductivities, and saturation. The recursive algorithm for the thermal conductivity by the proposed model is presented and found to be quite simple. The model predictions are compared with the existing measurements. Good agreement is found between the present model predictions and the existing experimental data. This verifies the validity of the proposed model. (C) 2004 American Institute of Physics.
ASYMPTOTIC BEHAVIOUR OF THE RESOLVENT OF STURM-LIOUVILLE EQUATIONS AND THE ALGEBRA OF THE KORTEWEG-DE VRIES EQUATIONS

This paper is concerned with a group of problems associated with recent results on non-linear equations of Korteweg-de Vries type. The second chapter is basically of a survey character and investigates connections between these equations and trace formulae. In the first chapter we develop a new algebraic formalism of the calculus of variations.
Patch Transfer Functions as a Tool to Couple Linear Acoustic Problems

A method to couple acoustic linear problems is presented in this paper. It allows one to consider several acoustic subsystems, coupled through surfaces divided in elementary areas called patches. These subsystems have to be studied independently with any available method, in order to build a database of transfer functions called patch transfer functions, which are defined using mean values on patches, and rigid boundary conditions on the coupling area. A final assembly, using continuity relations, leads to a very quick resolution of the problem. The basic equations are developed, and the acoustic behavior of a cavity separated in two parts is presented, in order to show the ability of the method to study a strong-coupling case. Optimal meshing size of the coupling area is then discussed, some comparisons with experiments are shown, and finally a complex automotive industrial case is presented.
Calculation of inelastic cross-sections for the interaction of electrons with amorphous selenium

Research into medical x-ray detectors based on amorphous selenium (a-Se) has seen a resurgence lately due to the advent of flat-panel active matrix technology. There is presently no quantitative theory, however, to explain the signal formation due to the interaction of ionizing radiation with a-Se. One of the main obstacles in the characterization of this process is the lack of suitable interaction cross-sections. In this work we develop an expression for the calculation of inelastic electron cross-sections from a dipole oscillator strength distribution, which includes relativistic and exchange effects. We construct the oscillator strength distribution from known experimental results and calculate the total and cumulative differential cross-sections for incident electron energies ranging from a few eV to 23 MeV. The total cross-section agrees with that of isolated Se atoms at high energies, as expected, and provides the low energy cross-sections which depend on the dielectric properties of the amorphous state. From these cross-sections, Monte Carlo codes can be developed which simulate the creation of individual electron-hole pairs, which will lead to a better understanding of the signal-formation process in a-Se based x-ray detectors.
Management of Vaginal Hyperplasia in Bitches by Bühner Suture

Simple Summary During the proestral–estral phase of the canine cycle, estrogens may cause exaggerated vaginal hyperplasia that can protrude through the vulvar lips. The present study aims to describe the management of vaginal hyperplasia in bitches by Bühner vulvar suture. Fourteen bitches with a complete protrusion of vaginal mucosa underwent general anesthesia for the gentle reduction of the prolapsed tissue and the application of the vulvar suture, using a Gerlach needle and a sterile vaginal suture tape; a minimal vulvar opening was maintained to allow urination. The technique proved to be useful in preventing the recurrence of the protrusion during the current estrus cycle; the Bühner suture was removed two months later, along with ovariectomy. According to the results obtained, Bühner suture is useful for the conservative treatment of vaginal hyperplasia in medium- and large-sized dogs, without any signs of trauma or ulceration of the prolapsed tissues. Abstract Vaginal hyperplasia in bitch is an exaggerated response of the vaginal mucosa to estrogens during the proestral–estral phase of the cycle that can protrude through the vulvar lips. The present study refers to the management of vaginal hyperplasia in bitches by Bühner vulvar suture. Fourteen private-owners animals were refereed for spontaneous vaginal hyperplasia and complete protrusion of the mucosa, without ischemic or necrotic areas, which occurred during the proestral–estral phase. Under general anesthesia, prolapsed mass was cleaned with 50% glucose solution to reduce oedema and gently repositioned; the Bühner suture was applied using a Gerlach needle and a sterile vaginal suture tape, maintaining a minimal opening to allow urination in order to avoid possible recurrence in the same estrus. None of the bitches showed recurrence during the current cycle, proving the effectiveness of the Bühner suture. To prevent the possible recurrence of vaginal hyperplasia at the subsequent estrus, all the bitches underwent an ovariectomy 2 months later, when the Bühner suture was removed. In conclusion, the Bühner suture proved to be useful for the conservative treatment of vaginal hyperplasia in medium- or large-sized bitches. However, this approach should be considered only for cases in which the prolapsed mass does not show trauma, ulceration, ischemic or necrotic areas.
A human monoclonal antibody bivalently binding two different epitopes in streptococcal M protein mediates immune function

Group A streptococci have evolved multiple strategies to evade human antibodies, making it challenging to create effective vaccines or antibody treatments. Here, we have generated antibodies derived from the memory B cells of an individual who had successfully cleared a group A streptococcal infection. The antibodies bind with high affinity in the central region of the surface‐bound M protein. Such antibodies are typically non‐opsonic. However, one antibody could effectively promote vital immune functions, including phagocytosis and in vivo protection. Remarkably, this antibody primarily interacts through a bivalent dual‐Fab cis mode, where the Fabs bind to two distinct epitopes in the M protein. The dual‐Fab cis‐binding phenomenon is conserved across different groups of M types. In contrast, other antibodies binding with normal single‐Fab mode to the same region cannot bypass the M protein's virulent effects. A broadly binding, protective monoclonal antibody could be a candidate for anti‐streptococcal therapy. Our findings highlight the concept of dual‐Fab cis binding as a means to access conserved, and normally non‐opsonic regions, regions for protective antibody targeting.
Bulk Cr tips with full spatial magnetic sensitivity for spin-polarized scanning tunneling microscopy

A full magnetic characterization of bulk Cr tips has been achieved using spin-polarized scanning tunneling microscopy at low temperature. A detailed bias-dependent study of the spatial magnetic sensitivity on the system of 1.5 monolayers of Fe/W(110) reveals that all magnetic directions in space are sensed over a wide bias range, thereby indicating a canted magnetization direction being a typical feature of bulk Cr tips. Consequently, using Cr as tip material allows any standard scanning tunneling microscope setup to be extended by the spin-polarized mode.
Communication with families: Understanding the perspectives of early childhood teachers

Communication between teachers and families in early childhood is a key aspect of successful teacher-family engagement. The goal of this exploratory study was to investigate how teachers communicated with families in early childhood classrooms and what they communicated about. This study of 31 teachers working with children birth to age five, primarily in the Midwestern U.S. examined how they described communication with families using semi-structured interviews. Findings indicated that teachers used multiple formats to communicate with families about children’s daily routines, developmental progress, and other relevant information. Teachers preferred in-person communication although challenges occurred due to classroom dynamics and the global COVID-19 pandemic restrictions. Technology such as apps and messaging emerged as an efficient way to reach most families, however difficulties facilitating reciprocal communication with families were described. Further research is needed to identify successful communication strategies for both teachers and families, thus building higher quality teacher-family partnerships.
Modeling the Genesis of Sand‐Starved Dunes in Steady Currents

The formation of fluvial dunes is usually studied by investigating the time development of a small amplitude bottom perturbation of a uniform stream and considering that the dunes originate by the growth of the bottom mode characterized by the largest amplification rate under the assumption of an infinite availability of the mobile sediment (linear stability analysis). Here we undertake the stability analysis investigating the formation of sand dunes in steady currents by accounting for the nonlinear effects of sediment starvation on the formative mechanisms of the bedforms and comparing the theoretical results with laboratory experiments, and an application of a fully nonlinear commercial model of finite amplitude dunes, thus enabling an improved understanding of the genesis of starved fluvial dunes. As the growth of the dunes progressively exposes the motionless substratum, both the stability‐based and the numerical models predict starved dunes characterized by increasing crest‐to‐crest distances. The increase of the crest‐to‐crest distance corresponds to a decrease of the length of individual dunes as well as a growing irregularity in their spacing and morphology. These findings conform with the outcome of physical experiments performed earlier in a laboratory flume and existing measurements of starved fluvial dunes in the field.
Impact of the COVID‐19 pandemic on hospitalizations of children with neurologic impairment

Abstract Introduction Children with neurologic impairment (NI) are frequently hospitalized for infectious and noninfectious illnesses. The early period of the COVID‐19 pandemic was associated with overall lower pediatric hospitalization rates, particularly for respiratory infections, but the effect on utilization for children with NI is unknown. Method This multicenter retrospective cohort study included hospitalizations of children 1–18 years of age with NI diagnosis codes from 49 children's hospitals. We calculated the percent change in the median weekly hospitalization volumes and the hospitalization resource intensity score (H‐RISK), comparing the early‐COVID era (March 15, 2020 to December 31, 2020) with the pre‐COVID era (same timeframe of 2017–2019). Percent change was calculated over the entire study period as well as within three seasonal time periods (spring, summer, and fall/winter). Differences between infectious and noninfectious admission diagnoses were also examined. Results Compared with the pre‐COVID era, there was a 14.4% decrease (interquartile range [IQR]: −33.8, −11.7) in the weekly median number of hospitalizations in the early‐COVID era; the weekly median H‐RISK score was 11.7% greater (IQR: 8.9, 14.9). Hospitalizations decreased for both noninfectious (−11.6%, IQR: −30.0, −8.0) and infectious (−35.5%, IQR: −51.1, −31.3) illnesses in the early‐COVID era. This decrease was the largest in spring 2020 and continued throughout 2020. Conclusions For children with NI, there was a substantial and significant decrease in hospitalizations for infectious and noninfectious diagnoses but an increase in illness severity during the early‐COVID era compared with the pre‐COVID era. Our data suggest a need to reconsider current thresholds for hospitalization and identify opportunities to support and guide families through certain illnesses without hospitalization.