Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 after the first wave of the pandemic among employees from a German university hospital: prevalence and questionnaire data

The SARS-CoV-2 pandemic has changed lives around the world. In particular, healthcare workers faced significant challenges as a result of the pandemic. This study investigates the seroprevalence of SARS-CoV-2 in March–April 2020 in Germany among healthcare workers and relates it to questionnaire data. In June 2020, all employees of the reporting hospital were offered a free SARS-CoV-2 antibody test. The first 2,550 test results were sent along with study documents. The response rate was 15.1%. The COVID-19 PCR test prevalence amongst health care workers in this study was 1.04% (95% CI 0.41–2.65%), higher by a factor of 5 than in the general population (p=0.01). The ratio of seroprevalence to PCR prevalence was 1.5. COVID-19-associated symptoms were also prevalent in the non-COVID-19-positive population. Only two symptoms showed statistically significant odds ratios, loss of smell and loss of taste. Health care workers largely supported non-pharmaceutical interventions during the initial lockdown (93%). Individual behavior correlated significantly with attitudes toward policy interventions and perceived individual risk factors. Our data suggest that healthcare workers may be at higher risk of infection. Therefore, a discussion about prioritizing vaccination makes sense. They also support offering increased SARS-CoV-2 testing to hospital workers. It is concluded that easier access to SARS-CoV-2 testing reduces the number of unreported cases. Furthermore, individual attitudes toward rules and regulations on COVID-19 critically influence compliance. Thus, one goal of public policy should be to maintain high levels of support for non-pharmaceutical interventions to keep actual compliance high.
Vietnamese Automatic Speech Recognition with Transformer

Recently, speech recognition using end-to-end models is gradually becoming a trend and has superior performance compared to traditional methods. The most frequently used methods are the combination of attention-based methods use an attention mechanism and connectionist temporal classification (CTC) for supervised Learning for Automatic Speech Recognition (ASR). In this paper, we propose a speech recognition model using the transformer architecture and achieved the top 3 in 2021 the Viet-namese Language and Speech Processing contest with 8.83% word error rate (WER) on private-test set.
Experimental Determination Of Tribological Behaviors Of Radial Bearing Made Of C83600 Red Brass Alloy Under Dry Sliding Condition

The influence of tribological behaviors of journal bearing Made of C83600 Red Brass alloy under dry sliding condition against a shaft made of stainless-steel shaft was investigated experimentally in the present paper. A special tribometer was developed and tests carried out under dry sliding conditions, actual radial load (RL) of (2000 and 3000) N and sliding velocity (250, 500, 1000, and 1500) rpm were applied. Changes in temperature, coefficient of friction COF, and weight loss of journal bearing were monitored. Increasing the radial load, sliding velocity, and sliding time resulted in increasing the average temperature. It was also detected that the friction coefficient decreases with the increasing of radial load RL and sliding velocity SV. On contrary, weight loss increases with increasing RL and SV.
Storm-Scale Data Assimilation and Ensemble Forecasts for the 27 April 2011 Severe Weather Outbreak in Alabama

AbstractAs part of NOAA’s Warn-on-Forecast (WoF) initiative, a multiscale ensemble-based assimilation and prediction system is developed using the WRF-ARW model and DART assimilation software. To evaluate the capabilities of the system, retrospective short-range probabilistic storm-scale (convection allowing) ensemble analyses and forecasts are produced for the 27 April 2011 Alabama severe weather outbreak. Results indicate that the storm-scale ensembles are able to analyze the observed storms with strong low-level rotation at approximately the correct locations and to retain the supercell structures during the 0–1-h forecasts with reasonable accuracy. The system predicts the low-level mesocyclones of significant isolated tornadic supercells that align well with the locations of radar-derived rotation. For cases with multiple interacting storms in close proximity, the system tends to produce more variability in mesocyclone forecasts from one initialization time to the next until the observations show the .
Educational Values in the Diversity of Javanese Traditional Ceremonies among Pendalungan Community

This study aims to describe educational values in the diversity of Javanese traditional ceremonies among Pendalungan community. The design chosen was ethnography. Ethnographic study is carried out in six stages, namely (1) formulating problems, (2) selecting cases, (3) obtaining entry points, (4) collecting data, (5) analyzing data, and (6) reporting findings. Subjects and locations for the study were determined with purposive sampling technique. The subjects are people who are considered to have quality and are able to provide information about Javanese traditional ceremonies. The study was conducted in seven sub-districts, namely Wuluhan, Umbulsari, Sukowono, Tanggul, Tempurejo, Ambulu, and Pakusari. Data were collected by means of observation, interviews, documentation, and audio-visual materials. The data were analyzed in six stages, namely: (1) organizing and preparing the data for analysis, (2) carefully reading all the data, (3) coding the data, (4) describing the data, (5) representing the data in a qualitative narrative, and (6) interpreting data. The validity of the data is obtained by extending working time and observing and triangulating methods, sources, and theories. As a result, the Javanese traditional ceremonies performed by the Pendalungan community are very diverse because the character of the Pendalungan community, one of which is open to change and easy to adapt, makes the implementation of Javanese traditional ceremonies adapted to environmental conditions, natural conditions, tools, materials, and performers of the ceremonies. The diversity in the implementation of Javanese traditional ceremonies by the Pendalungan community has values, namely religious, nationalist, independent, mutual cooperation, and integrity.
S TORY S CAPE An Inclusive, Creative Learning Technology

Communication impairments are a core characteristic of autism, affecting social-emotional interactions and broader language skills. Literature suggests the single most important prognostic indicator for young children diagnosed with an Autism Spectrum Disorder (ASD) is language ability. The focus of new technologies to support learning and “digital literacy” provides an opportunity to address the unique needs of those diagnosed with ASD. In particular, technologies that implement constructionist principles through participatory cultures may be effective in supporting the educational and therapeutic needs of those diagnosed with ASD. Unfortunately, there is little cutting edge research and development of such technologies with or for the ASD community. In this proposal I explore the development, implementation, and testing of a creative learning platform, StoryScape , to support the unique needs around communication for those diagnosed with ASD.
Oscillator strengths for neutral calcium lines of 2.9 eV excitation

Precise oscillator strengths for seven lines of neutral calcium absorbed from the level 4s4p1P at 2.9 eV above the ground level have been measured using a carbon tube furnace. Additional measurements have been undertaken to link the new measurements to earlier results, obtained using the same equipment, for lines of 2.5 and 2.7 eV excitation. Evidence is presented to show that the set of absorption oscillator strengths, when combined with recent lifetime measurements, establishes an absolute scale of oscillator strengths for neutral calcium which has an uncertainty of only +or-5%. Attention is drawn to some anomalies in other measurements and in calculations of transition probabilities for neutral calcium.
Fusion of AraBERT and DF-GAN for Arabic Text to Image Generation

Current AI systems have shown impressive results in the Automatic synthesis of high-resolution realistic images from texts descriptions. Speciﬁcally, Generative Adversarial Networks (GANs) as a powerful technology that utilizes computer vision tools to create two models, the Generator that generates realistic images and the discriminator that distinguishes whether the images synthesized are real or fake. Further, Most text-to-image generation frameworks leverage the power of GANs to generate realistic images conditioned with texts descriptions. In this paper, we fuse a sample and eﬃcient text-to-image generation framework called DF-GAN and AraBERT architecture to generate images conditioned with Arabic texts descriptions. Firstly, we re-create new datasets matching the Arabic text-to-image generation task by applying super translation using the DeepL-Translator from English to Arabic on texts descriptions. Secondly, we leverage the power of AraBERT which is trained on billions of Arabic words to produce a strong sentence embedding, and we reduce that vector’s dimension to match with DF-GAN shape. Thirdly, we inject the reduced sentence embedding into the DF-GAN framework to generate high-resolution realistic, and text-matching images conditioned with Arabic texts descriptions. Such as in previous work, we use CUB and Oxford-102 ﬂowers as original datasets. Further, we measure our framework with FID and IS. Our framework
INITIATIVES AND MECHANISMS FOR PROVIDING FINANCE TO SMES

Using the financial statement database of the Serbian Business Registers Agency (APR), we analyze the extent to which the quality of a company’s financial reporting is associated with its cost of debt. The focus of this study is small and medium enterprises (SMEs) because they represent a critical segment of the economy in most countries. Our results suggest that financial reporting quality, proxied by accruals quality, is inversely related to the cost of debt. However, the extent to which better financial reporting quality is associated with reduced interest rates is difficult to determine in Serbia as a number of other factors that cannot be controlled for in our study also affect the cost of debt. These include an overall environment of greater financial instability vis-à-vis advanced economies, and stronger intervention by the government in the financial system. Also, there are some limitations on the financial statement data that are available in Serbia, such as the lack of loan-specific interest rate, maturity, and collateral information. Nonetheless, our findings in Serbia are consistent with the results of other studies in advanced economies that have found that financial reporting quality seems to reduce information asymmetry between lenders and SME managers, and SMEs with a higher quality of financial statements pay lower interest costs than SMEs with poorer accounting information quality.
Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs

Optimization based control is widely used for stabilizing control of constrained linear dynamical systems. We present an Infeasible Interior Point Method (IIPM) for the solution of convex quadratic programs, such as those arising in Model Predictive Control (MPC) of constrained linear dynamical systems, using a novel homogeneous formulation [1]. The homogenization is applied on a slacked reformulation of the QP. We describe a tailored step computation in the IIPM that addresses the potential loss of sparsity resulting from the homogenization. We present arguments for the effectiveness of the slacked formulation in warm-start of IIPM. The algorithm is implemented in Julia. Numerical experiments on the formulation are provided comparing the proposed approach against existing IPM implementations on feasible and infeasible quadratic programs. We also demonstrate that the warms-starts of the proposed IIPM reduces the computational time by 50% on an MPC application.
First Year Occupational Therapy Students’ Engagement in Learning Activities: A Qualitative Study

Abstract When students enter a bachelor program in occupational therapy, they engage in a variety of learning activities. To explore students’ perceptions of learning activities, this qualitative study investigated the experiences of six first year students participating in an occupational therapy study program at a Norwegian university. The students took part in two focus group interviews. The interview analysis focused on meaning and ended up with three main themes: 1) Getting to know each other through collaborative learning activities, 2) Engaging in classroom learning activities, and 3) Approaching the syllabus and doing assignments. The study concludes that early engagement in social and collaborative learning activities can be a meaningful prerequisite to future learning focused on meaning and feeling safe in the learning environment. Teaching styles also influence students’ engagement in the occupation of studying, with the change from one teaching style to another being particularly challenging for the students.
A regional adaptive and assimilative three-dimensional ionospheric model

A regional adaptive and assimilative three-dimensional (3D) ionospheric model is proposed. It is able to ingest real-time data from different ionosondes, providing the ionospheric bottomside plasma frequency ƒ p over the Italian area. The model is constructed on the basis of empirical values for a set of ionospheric parameters P i[base] over the considered region, some of which are assigned a variation ΔP i . The values for the ionospheric parameters actually observed at a given time at a given site will thus be P i = P i[base] +ΔP i . These P i values are used as input of an electron density N(h) profiler. The latter is derived from the Advanced Ionospheric Profiler (AIP), which is software used by Autoscala as part of the process of automatic inversion of ionogram traces. The 3D model ingests ionosonde data by minimizing the root-mean-square deviation between the observed and modeled values of ƒ p (h) profiles obtained from the associated N(h) values at the points where observations are available. The ΔP i values are obtained through such a minimization procedure. The 3D model is tested using data collected at the ionospheric stations of Rome (41.8 N, 12.5 E) and Gibilmanna (37.9 N, 14.0 E), and then comparing the results against data from the ionospheric station of San Vito dei Normanni (40.6 N, 18.0 E). The software developed is able to produce maps of the critical frequencies ƒ o F 2 and ƒ o F 1 , and of ƒ p at a fixed altitude, with transverse and longitudinal cross-sections of the bottomside ionosphere in a color scale. ƒ p (h) and associated simulated ordinary ionogram traces can easily be produced for any geographic location within the Italian region. ƒ p values within the volume in question can be also provided.
RECOVERY-BASED A POSTERIORI ERROR ESTIMATION FOR ELLIPTIC INTERFACE PROBLEMS BASED ON PARTIALLY PENALIZED IMMERSED FINITE ELEMENT METHODS

This paper develops a recovery-based a posteriori error estimation for elliptic interface problems based on partially penalized immersed (cid:12)nite element (PPIFE) methods. Due to the low regularity of solution at the interface, standard gradient recovery methods cannot obtain superconvergent results. To overcome this drawback a new gradient recovery method is proposed that applies superconvergent cluster recovery (SCR) operator on each subdomain and weighted average (WA) operator at recovering points on the approximated interface. We prove that the recovered gradient superconverges to the exact gradient at the rate of O( h 1 : 5 ). Consequently, the proposed method gives an asymptotically exact a posteriori error estimator for the PPIFE methods and the adaptive algorithm. Numerical examples show that the error estimator and the corresponding adaptive algorithm are both reliable and e(cid:14)cient.
Black-White differences in intergenerational mobility in the US: evidence from heterogeneous sibling correlations ∗

In the literature on Black-White differences in social mobility there is a tension between accounts that report the existence of a “perverse openness” among African Americans and theories that predict convergence in the rates of social mobility of Black and Whites. I address this debate by asking three inter-related questions: (1) Does the sibling correlation in income differ for Blacks and Whites? (2) If so, is it because the effect of family background is different for the two groups or because Blacks and Whites produce a different extent of heterogeneity in economic achievement within the family? (3) Are Black-White differences in sibling correlation due to race-related factors? Can they be explained by the underlying socioeconomic characteristics of these two subpopulations? To answer these questions I develop Bayesian hierarchical linear models with “organized dispersion”, which permit explicit modeling of heterogeneity in sibling correlations and the variance components that go into them. Using PSID data I ﬁnd that Black-White differences in sibling correlation for men are mostly explained by the higher within-family heterogeneity of Black siblings as compared to White ones. In turn, such larger extend of heterogeneity is partly -but not entirely- driven by the comparatively poorer socioeconomic standing of Black families. For women, similarity in sibling correlation is due to parental income having an opposite effect on within-family variance for Blacks and Whites, a pattern that is hidden in the describe comparison. Results highlight the interaction between race and social background at producing differences in mobility for the two major racial groups in the US. spline for a relationship. intergenerational elasticities of about and suggest they do not Black and White or across and White a nearly linear relationship in of high departs for Black-White differences in
A Modification of Dai-Yuan's Conjugate Gradient Algorithm for Solving Unconstrained Optimization

The spectral conjugate gradient method is an essential generalization of the conjugate gradient method, and it is also one of the eﬀective numerical methods to solve large scale unconstrained optimization problems. We propose a new spectral Dai-Yuan (SDY) conjugate gradient method to solve nonlinear unconstrained optimization problems. The proposed method’s global convergence was achieved under appropriate conditions, performing numerical testing on 65 benchmark tests to determine the eﬀectiveness of the proposed method in comparison to other methods like the AMDYN algorithm and some other existing ones like Dai-Yuan method.
Electronic spectrum and superconductivity in the t-J model on the honeycomb lattice

A microscopic theory of electronic spectrum and superconductivity within the $t$-$J$ model on the honeycomb lattice is formulated. The Dyson equation for the normal and anomalous Green functions for the two-band model in terms of the Hubbard operators is derived by applying the Mori-type projection technique. The self-energy is evaluated in the self-consistent Born approximation for electron scattering on spin and charge fluctuations induced by the kinematical interaction for the Hubbard operators. Superconducting pairing mediated by the antiferromagnetic exchange and spin fluctuations is discussed.
On Sums of Consecutive Squares

Abstract In this paper we consider the problem of characterizing those perfect squares that can be expressed as the sum of consecutive squares where the initial term in thus sum is k 2 . This problem is intimately related to that of finding all integral points on elliptic curves belonging to a certain family which can be represented by a Weierstras equation with parameter k . All curves in this family have positive rank, and for those of rank 1 a most likely candidate generator of infinite order can be explicitly given in terms of k . We conjecture that this point indeed generates the free part of the Mordell–Weil group and give some heuristics to back this up. We also show that a point which is modulo torsion equal to a nontrivial multiple of this conjectured generator cannot be integral. For k in the range 1⩽ k ⩽100 the corresponding curves are closely examined, all integral points are determined and all solutions to the original problem are listed. It is worth mentioning that all curves of equal rank in this family can be treated more or less uniformly in terms of the parameter k . The reason for this lies in the fact that in Sinnou David's lower bound of linear forms in elliptic logarithms—which is an essential ingredient of our approach—the rank is the dominant factor. Also the extra computational effort that is needed for some values of k in order to determine the rank unconditionally and construct a set of generators for the Mordell–Weil group deserves special attention, as there are some unusual features.
The impact of oral presentations on Al-Aqsa University EFL students' speaking performance, speaking anxiety and achievement in ELT Methodology1

The study aimed at examining the effectiveness of oral presentations in improving Al-Aqsa University EFL (English as a Foreign Language) students' performance in speaking and ELT Methodology 1 (English Language Teaching) course and reducing their speaking anxiety level. To achieve the study aim, the researcher employed four instruments i.e., a standardized speaking test (IELTS, 2019), an achievement test ( ELT Methodology 1 test), an open-ended questionnaire, and a speaking anxiety questionnaire (Hammad & Abu Ghali, 2015). Participants were sixty Palestinian EFL female students, who were divided into two equivalent groups including an experimental group and a control group. While the experimental group experienced studying ELT Methodology 1 through oral presentations, the control group studied it through the method used in previous terms (i.e., lecture). Results revealed that using oral presentations had a positive impact on the participants' performance in the speaking test and the ELT Methodology 1 test, and it helped in reducing the participants' speaking anxiety. Additionally, the open-ended questionnaire data showed that the participants had positive attitudes toward employing oral presentations in EFL classes. In light of the study results, pedagogical implications were introduced.
Biological Control of Rigidoporus microporus the Cause of White Root Disease in Rubber Using PGPRs In vivo

White root disease caused by Rigidoporus microporus is abundant in Hevea brasiliensis plantations in Thailand. Disease control by systemic fungicides is expensive, pollutes the environment and causes health hazards. Plant growth-promoting rhizobacteria (PGPRs) obtained from rubber growing areas were screened for antagonistic activity against R . microporus . In the present study, 120 strains of Actinomycetes and 98 strains of fluorescent pseudomonad were screened for antagonistic traits as siderophore, β-1,3-glucanase, chitinase, cellulase, catalase and antifungal activity, in vitro . On the basis of dual culture assays, Lac 19, Lac 17 and LBR 14 strains were selected based on their bioactive compound-producing activities which included catalase, chitinase and cellulase. According to cell wall composition analysis and 16S rRNA homology, these strains were identified as Streptomyces seoulensis Lac 19, Streptomyces malaysiensis Lac 17, and Streptomyces ahygroscopicus LBR 14, respectively. Application of biocontrol agents, S. malaysiensis Lac 17 and S. ahygroscopicus LBR 14, in nursery stage of H. brasiliensis showed greater suppression of the disease in the same level as hexaconazole. The application of selected Streptomyces would be an alternative for the control of R. microporus in the long-term rubber plantation.