Miracle-dz/UniFAR-FTUs huggingface dataset:
Management of patients with multidrug-resistant organisms in rehabilitation facilities. Results of a survey in the Rhine-Main region, Germany, 2019

Introduction: Multidrug-resistant organisms (MDRO) are a problem in medical facilities, including rehabilitation facilities in Germany. The national recommendations of the Commission for Hospital Hygiene and Infection Prevention (KRINKO) for prevention of and dealing with patients affected by MDRO are obligatory in rehabilitation facilities. A survey on the management of patients with MDRO in rehabilitation facilities in the Rhine-Main area is presented below. Materials and methods: The questions from a recently published survey in 45 rehabilitation facilities in 26 European countries (Doherty et al., 2019) were largely adopted unchanged: the type, size, and organization of the facility, availability of guidelines on MDRO, screening and (estimated) prevalence of MDRO, as well as special hygiene measures or restrictions for patients with MDRO. Results: 22 of the 43 institutions contacted participated (58%). All facilities had specific recommendations on how to deal with MDRO and more than 95% had adequate hygiene staff. The facilities encompassed 4,369 beds, with 3,909 (89%) of them in single-bed rooms, and only a few offered 3-bed rooms. About 20% of patients in general rehabilitation and 100% in early neurological rehabilitation are screened on admission. Six (27%) facilities refused to accept patients with MDRO. 40% of the facilities treated these patients in their own room and/or in a separate area. 27% of the facilities prohibited eating in the dining room and participating in hydrotherapy. Only 6 (27%) of the rehabilitation centers indicated that patients with MDRO are allowed to participate in full rehabilitation programs. Discussion: In accordance with the results of Doherty et al. (2019), there were many restrictions for rehabilitation patients with MDRO, indicating considerable need for improvement. Necessary hygiene recommendations to avoid the transmission of MDRO must not lead to rejection of inpatient rehabilitation or to less intensive rehabilitation.
Growth of lesions of Phytophthoracinnamomi in stems and roots of jarrah (Eucalyptusmarginata) in relation to rainfall and stand density in mediterranean forest of Western Australia

The effects of reduced stand density on (i) water status of jarrah (Eucalyptusmarginata Donn ex Sm.) and (ii) growth rate of artificially induced lesions of Phytophthoracinnamomi Rands in phloem of E. marginata were examined. Plots in the high ( > 1100 mm•year−1), intermediate (900–1100 mm•year−1), and low ( < 900 mm•year−1) rainfall zones of the jarrah forest were thinned to controlled fractions of original stand density. Phytophthoracinnamomi lesions in the phloem of stems and roots were established by wound inoculation. Lesions of P. cinnamomi were longer in stems of trees with small water deficits than in trees with larger water deficits. For example, in 1991 at the intermediate rainfall site, water potentials and lesion lengths of trees on unthinned and thinned plots were −1.1 and −0.9 MPa and 23 and 45 cm, respectively. Lesions grew more slowly in roots than in stems (average 10.0 and 26.2 cm, respectively, after 55 days at unthinned high rainfall site in 1991); however, the relative difference betw.
DEMOGRAPHIC AND WORK DYNAMICS AFFECTING FUNCTIONAL FLEXIBILITY IN HIGHER EDUCATION INSTITUTIONS OF PAKISTAN

This study examines the role of demographic and work factors in creating functional flexibility among employees working in higher education institutes in Pakistan. Data were collected from 323 employees including both teaching and administrative staff. The findings confirmed that teaching staff has a greater level of functional flexibility as compared to administrative staff. Furthermore, male staff showed higher level of functional flexibility than female staff. The findings also demonstrate that trust in management and autonomy positively predicts functional flexibility. Furthermore, task formalization was negatively associated with functional flexibility. These findings revealed that climate of trust and flexible work arrangements improve employee’s attitudes towards functional flexibility.
Role of Perfectionism and Perceived stress on behavioral Procrastination: Mediating Role of Self- Regulation

*Corresponding Author Abstract: Procrastination is a behavioral phenomenon described as delaying the tasks. It causes stress, feeling guilty, and a severe reduction in individual productivity. It also leads to the lack of social approval due to non-commitment to tasks and responsibilities. The objective of this study was to evaluate the role of perfectionism and perceived stress in behavioral procrastination with the mediating role of self-regulation. This research was a fundamental-correlational study. The research population included students of the University of Tabriz in the academic year of 2018-2019, 300 of which were selected by cluster random sampling method. To measure the data, Lee and Mann Procrastination Scale, Multiple Procrastination Scale (MPS), Cohen Perceived Stress Scale, and Self-monitoring Scale were used.The results of data analysis using structural equation modeling method showed that self-regulation could mediate the relationship between perfectionism and perceived stress as well as behavioral procrastination. In this regard, the measured model had desirable fit with the theoretical model. These results had practical implications for reducing procrastination of students. They suggested that personality traits and behavioral skills played a key role in the emergence of procrastination.
Detecting Brain Network Changes Induced by a Neurofeedback-based Training for Memory Function Rehabilitation After Stroke

The efficacy of rehabilitative interventions in stroke patients is routinely assessed by means of a neuropsychological test battery. Nowadays, more evidences indicate that the neuroplasticity which occurs after stroke can be better understood by investigating changes in brain networks. In this pilot study we applied advanced methodologies for effective connectivity estimation in combination with graph theory approach, to define EEG derived descriptors of brain networks underlying memory tasks. In particular, we proposed such descriptors to identify substrates of efficacy of a Brain-Computer Interface (BCI) controlled neurofeedback-based intervention to improve cognitive function after stroke. EEG data were collected from two stroke patients before and after a neurofeedback-based training for working memory deficits. We show that the estimated brain connectivity indices were sensitive to different training intervention outcomes, thus suggesting an effective support to the neuropsychological assessment in the evaluation of the changes induced by the BCI-based rehabilitative intervention.
Phenolic compounds in coffee pulp: Quantitative determination by HPLC

The content of phenolic compounds tentatively identified by HPLC in fresh coffee pulp gives an average composition in the 12 cultivars studied as follows: chlorogenic acid (5-caffeoylquinic acid), 42·2%; epicatechin, 21·6%; isochlorogenic acid I, 5·7%; isochlorogenic acid II, 19·3%; isochlorogenic acid III, 4·4%; catechin, 2·2%; rutin, 2·1%; protocatechuic acid, 1·6%; and ferulic acid, 1·0%. When the percentages of chlorogenic and isochlorogenic acids are added to the corresponding one of epicatechin for each cultivar, it is found that they make up between 92·0% and 98·4% of the total of identified phenolic compounds. Qualitative or quantitative differences were not detected between cultivars of coffee plants resistant and susceptible to coffee leaf rust.
Positron Scattering from Atoms and Molecules

A review on the positron scattering from atoms and molecules is presented in this article. The focus on positron scattering studies is on the rise due to their presence in various fields and application of cross section data in such environments. Positron scattering is usually investigated using theoretical approaches that are similar to those for electron scattering, being its anti-particle. However, most experimental or theoretical studies are limited to the investigation of electron and positron scattering from inert gases, single electron systems and simple or symmetric molecules. Optical potential and polarized orbital approaches are the widely used methods for investigating positron scattering from atoms. Close coupling approach has also been used for scattering from atoms, but for lighter targets with low energy projectiles. The theoretical approaches have been quite successful in predicting cross sections and agree reasonably well with experimental measurements. The comparison is generally good for electrons for both elastic and inelastic scatterings cross sections, while spin polarization has been critical due to its sensitive perturbing interaction. Positron scattering cross sections show relatively less features than that of electron scattering. The features of positron impact elastic scattering have been consistent with experiment, while total cross section requires significant improvement. For scattering from molecules, utilization of both spherical complex optical potential and R-matrix methods have proved to be efficient in predicting cross sections in their respective energy ranges. The results obtained shows reasonable comparison with most of the existing data, wherever available. In the present article we illustrate these findings with a list of comprehensive references to data sources, albeit not exhaustive.
Earnings Management, Corporate Governance and Corporate Performance Among Malaysian Listed Companies

There are several explanations for lack of transparency regarding financial reporting however the most significant is earnings management activities that managers follow. Admittedly, managers manipulate accounting information by using EM (Earnings Management) practices to achieve certain results. Corporate governance, which its primary objective is to spot possible structures in which a corporation's shareholders have greater power and control over managers to protect and further their rights, and it has recently brought an interesting topic to researchers and policymakers around the world. Most research has emphasized the relationship between corporate governance and company performance, but still, only a few investigations have looked at the moderator characteristic of corporate governance on corporate performance from different perspectives. This study aims at investigating whether corporate governance, utilizing data from listed companies in Bursa Malaysia, impacts the relationship between earnings management and the firm ’s performance. This study utilizes panel data analysis and uses FTSE Russell data by applying the intersection method to the constituents of the FTSE Top 100 Bursa Malaysia from 2011 to 2015. The findings show that DAs have a considerable impact on the ROA, ROE, Tobin's Q and EVA of companies in a poor governance system. This research reveals that managers in weakly managed companies are far more likely to misuse accounting powers than in well managed companies, leading to a decline in corporate performance. Managers are likely utilizing DAs to modify the financial profits; however, this produces a rather more significant reversing impact in corporate interest in the period ahead. Likewise, DAs inside an efficient governance structure are strongly and substantially related to firm performance.
Developability of heightfields via rank minimization

This work concerns the computation and approximation of developable surfaces --- surfaces that are locally isometric to the two-dimensional plane. These surfaces are heavily studied in differential geometry, and are also of great interest to fabrication, architecture and fashion. We focus specifically on developability of heightfields. Our main observation is that developability can be cast as a rank constraint, which can then be plugged into theoretically-grounded rank-minimization techniques from the field of compressed sensing. This leads to a convex semidefinite optimization problem, which receives an input heightfield and recovers a similar heightfield which is developable. Due to the sparsifying nature of compressed sensing, the recovered surface is piecewise developable, with creases emerging between connected developable pieces. The convex program includes one user-specified parameter, balancing adherence to the original surface with developability and number of patches. We moreover show, that in contrast to previous techniques, our discretization does not introduce a bias and the same results are achieved across resolutions and orientations, and with no limit on the number of creases and patches. We solve this convex semidefinite optimization problem efficiently, by devising a tailor-made ADMM solver which leverages matrix-projection observations unique to our problem. We employ our method on a plethora of experiments, from denoising 3D scans of developable geometry such as documents and buildings, through approximating general heightfields with developable ones, and up to interpolating sparse annotations with a developable heightfield.
MRI evaluation of rabbit bone marrow after acute irradiation

E valuation of the hematopoietic BM is achieved by various methods such as conventional radiography, scintigraphy, computed tomography (CT), needle biopsy and MRI. These methods differ in sensitivity, specificity and accuracy (Volger 1998), and, each is well suitable enough to evaluate specific disorders. However, needle biopsy and MRI are considered as the best techniques for detailed investigation of the hematopoietic BM (Casamassima et al. 1989). BM contains a large portion of mobile protons in fat and water in hematopoietic cells and stromal tissue. It is therefore ideally suited to be studied by MRI (Vogler 1998, Cavenagh et al. 1995, Steiner et al. 1990, 1993). Although needle biopsy is more specific than MRI (however with same sensitivity) and enables accurate characterization of tissue histology, it is an invasive technique that involves notable risk and patient discomfort. Furthermore, biopsy technique in a single site does not allow the study of large volumes of marrow and may not always be representative of entire hematopoietic BM. MRI on the other hand, enables direct ABSTRACT
A Survey of Temporal Antialiasing Techniques

Temporal Antialiasing (TAA), formally defined as temporally‐amortized supersampling, is the most widely used antialiasing technique in today's real‐time renderers and game engines. This survey provides a systematic overview of this technique. We first review the history of TAA, its development path and related work. We then identify the two main sub‐components of TAA, sample accumulation and history validation, and discuss algorithmic and implementation options. As temporal upsampling is becoming increasingly relevant to today's game engines, we propose an extension of our TAA formulation to cover a variety of temporal upsampling techniques. Despite the popularity of TAA, there are still significant unresolved technical challenges that affect image quality in many scenarios. We provide an in‐depth analysis of these challenges, and review existing techniques for improvements. Finally, we summarize popular algorithms and topics that are closely related to TAA. We believe the rapid advances in those areas may either benefit from or feedback into TAA research and development.
Selenium Regulates Gene Expression for Glucosinolate and Carotenoid Biosynthesis in Arabidopsis

Glucosinolates (GSs) and carotenoids are important plant secondary metabolites present in several plant species, including arabidopsis (Arabidopsis thaliana). Although genotypic and environmental regulation of GSs and carotenoid compounds has been reported, few studies present data on their regulation at the molecular level. Therefore, the objective of this study was to explore differential expression of genes associated with GSs and carotenoids in arabidopsis in response to selenium fertilization, shown previously to impact accumulations of both classes of metabolites in Brassica species. Arabidopsis was grown under 0.0 or 10.0 m MN a2SeO4 in hydroponic culture. Shoot and root tissue samples were collected before anthesis to measure GSs and carotenoid compounds and conductgene expressionanalysis. Geneexpressionwas determined usingarabidopsisoligonucleotide chips containing more than 31,000 genes. There were 1274 differentially expressed genes in response to selenium (Se), of which 516 genes were upregulated. Ontology analysis partitioned differentially expressed genes into 20 classes. Biosynthesis pathway analysis using AraCyc revealed that four GSs, one carotenoid, and one chlorophyll biosynthesis pathways were invoked by the differentially expressed genes. Involvement of the same gene in more than one biosynthesis pathway indicated that the same enzyme may be involved in multiple GS biosynthesis pathways. The decrease in carotenoid biosynthesis under Se treatment occurred through the downregulation of phytoene synthase at the beginningofthecarotenoidbiosynthesispathway.ThesefindingsmaybeusefultomodifytheGSandcarotenoidlevels in arabidopsis and may lead to modification in agriculturally important plant species.
Quantum Gates on Individually-Addressed Atomic Qubits Subject to Noisy Transverse Motion

Individual trapped atomic qubits represent one of the most promising technologies to scale quantum computers, owing to their negligible idle errors and the ability to implement a full set of reconfigurable gate operations via focused optical fields. However, the fidelity of quantum gate operations can be limited by weak confinement of the atoms transverse to the laser. We present measurements of this effect by performing individually-addressed entangling gates in chains of up to 25 trapped atomic ions that are weakly confined along the chain axis. We present a model that accurately describes the observed decoherence from the residual heating of the ions caused by noisy electric fields. We propose to suppress these effects through the use of ancilla ions interspersed in the chain to sympathetically cool the qubit ions throughout a quantum circuit.
A Normative approach to Attest Digital Discrimination

Digital discrimination is a form of discrimination whereby users are automatically treated unfairly, unethically or just differently based on their personal data by a machine learning (ML) system. Examples of digital discrimination include low-income neighbourhood's targeted with high-interest loans or low credit scores, and women being undervalued by 21% in online marketing. Recently, different techniques and tools have been proposed to detect biases that may lead to digital discrimination. These tools often require technical expertise to be executed and for their results to be interpreted. To allow non-technical users to benefit from ML, simpler notions and concepts to represent and reason about digital discrimination are needed. In this paper, we use norms as an abstraction to represent different situations that may lead to digital discrimination. In particular, we formalise non-discrimination norms in the context of ML systems and propose an algorithm to check whether ML systems violate these norms.
A study on the subfamilies Cremastinae, Ichneumoninae, Pimplinae and Rhyssinae (Hymenoptera: Ichneumonidae) from the Mazandaran province, Iran

The species of the subfamilies Cremastinae, Ichneumoninae, Pimplinae and Rhyssinae (Hymenoptera: Ichneumonidae) found in the Mazandaran province, northern Iran are listed with their collection data in this paper. A total of 25 species from 16 genera (including, Cremastus, Eucremastus, Pristomerus, Temelucha, Protichneumon, Virgichneumon, Exeristes, Scambus, Schizopyga, Ctenochira, Erromenus, Grypocentrus, Neleges, Polyblastus, Megarhyssa, Rhyssa) were collected and identified within this region.
CPL-SLAM: Efficient and Certifiably Correct Planar Graph-Based SLAM Using the Complex Number Representation

In this article, we consider the problem of planar graph-based simultaneous localization and mapping (SLAM) that involves both poses of the autonomous agent and positions of observed landmarks. We present complex (CPL)-SLAM, an efficient and certifiably correct algorithm to solve planar graph-based SLAM using the complex number representation. We formulate and simplify planar graph-based SLAM as the maximum likelihood estimation on the product of unit complex numbers, and relax this nonconvex quadratic complex optimization problem to convex complex semidefinite programming (SDP). Furthermore, we simplify the corresponding complex SDP to Riemannian staircase optimization (RSO) on the complex oblique manifold that can be solved with the Riemannian trust region method. In addition, we prove that the SDP relaxation and RSO simplification are tight as long as the noise magnitude is below a certain threshold. The efficacy of this work is validated through applications of CPL-SLAM and comparisons with existing state-of-the-art methods on planar graph-based SLAM, which indicates that our proposed algorithm is capable of solving planar graph-based SLAM certifiably, and is more efficient in numerical computation and more robust to measurement noise than existing state-of-the-art methods. The C++ code for CPL-SLAM is available at https://github.com/MurpheyLab/CPL-SLAM.
Hyperfine structure of 
Yb+173
: Toward resolving the 
Yb173
 nuclear-octupole-moment puzzle

The hyperfine structure (HFS) of atomic energy levels arises due to interactions of atomic electrons with a hierarchy of nuclear multipole moments, including magnetic dipole, electric quadrupole, and higher rank moments. Recently, a determination of the magnetic octupole moment of the $^{173}\mathrm{Yb}$ nucleus was reported from HFS measurements in neutral $^{173}\mathrm{Yb}$ [A. K. Singh et al., Phys. Rev. A 87, 012512 (2013)] and is four orders of magnitude larger than the nuclear theory prediction. Considering this substantial discrepancy between the spectroscopically extracted value and nuclear theory, here we propose to use an alternative system to resolve this tension---a singly charged ion of the same $^{173}\mathrm{Yb}$ isotope. Utilizing the substantial suite of tools developed around ${\mathrm{Yb}}^{+}$ for quantum information applications, we propose to extract nuclear octupole and hexadecapole moments from measuring hyperfine splittings in the extremely long-lived first excited state [$4{f}^{13}(^{2}F^{o})6{s}^{2}, J=7/2$] of $^{173}\mathrm{Yb}^{+}$. We present results of atomic structure calculations in support of the proposed measurements.
Valence parton distribution of the pion from lattice QCD: Approaching the continuum limit

We present a high-statistics lattice QCD determination of the valence parton distribution function (PDF) of pion, with a mass of $300$ MeV, using two very fine lattice spacings of $a=0.06$ fm and $0.04$ fm. We reconstruct the $x$-dependent PDF, as well as infer the first few even moments of the PDF using the 1-loop perturbative LaMET framework. Our analyses use both RI-MOM and ratio-based schemes to renormalize the equal-time bi-local quark-bilinear matrix elements of pions boosted up to $2.4$ GeV momenta. We use various model-independent and model-dependent analyses to infer the large-$x$ behavior of the valence PDF. We also present technical studies on lattice spacing and higher-twist corrections present in the boosted pion matrix elements.