Miracle-dz/UniFAR-FTUs huggingface dataset:
Sarcopenia and echocardiographic parameters for prediction of cardiovascular events and mortality in patients undergoing maintenance hemodialysis

Background Sarcopenia is prevalent and is associated with the occurrence of cardiovascular complications in patients undergoing maintenance hemodialysis (MHD). It is unknown how skeletal muscle may be associated with aspects of myocardial structure and function. This study aimed to evaluate the association between sarcopenia and cardiac structure and function in patients undergoing MHD. We also examined the prognostic role of sarcopenia for mortality and cardiovascular events (CVE) in this population. Methods Participants from a single center underwent bioimpedance body composition analysis to measure skeletal muscle and echocardiography to assess myocardial structure and function. Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia criteria. The end points were all-cause mortality and CVE. Results Of the 158 participants, 46 (29.1%) had sarcopenia, 102 (64.6%) had left ventricular diastolic dysfunction (LVDD), and 106 (67.0%) had left ventricular hypertrophy (LVH). Participants with sarcopenia had smaller right ventricular sizes (2.54 ± 0.77 vs 2.76 ± 0.28; P < 0.01), inter-ventricular thickness (1.07 ± 0.19 vs 1.14 ± 0.20; P = 0.039), and left ventricular posterior wall thickness (0.96, 0.89–1.10 vs 1.06, 0.95–1.20; P = 0.018). Skeletal muscle mass was strongly correlated with left ventricular mass (LVM) (r = 0.577; P < 0.0001). Furthermore, the risk of LVDD (OR: 4.92, 95% confidence interval (CI) [1.73–13.95]) and LVH (OR: 4.88, 95% CI [1.08–21.96]) was much higher in the sarcopenic group than in the non-sarcopenic group. During a follow-up period of 18 months, 11 (6.9%) patients died, of which seven died (4.4%) of CVE, and 36 (22.8%) experienced CVE. The presence of sarcopenia (adjusted hazard ratio (HR), 6.59; 95% CI [1.08–39.91]; P = 0.041) and low skeletal muscle index (HR, 3.41; 95% CI [1.01–11.57]; P = 0.049) and handgrip strength (HR, 0.88; 95% CI [0.78–0.99]; P = 0.037) independently predicted death. Sarcopenia was a significant predictor of CVE (HR, 10.96; 95% CI [1.14–105.10]; P = 0.038). Conclusion Our findings demonstrated that sarcopenia is associated with LVDD and LVH, and is associated with a higher probability of death and CVE.
A mixed ℓ1 regularization approach for sparse simultaneous approximation of parameterized PDEs

We present and analyze a novel sparse polynomial technique for the simultaneous approximation of parameterized partial differential equations (PDEs) with deterministic and stochastic inputs. Our approach treats the numerical solution as a jointly sparse reconstruction problem through the reformulation of the standard basis pursuit denoising, where the set of jointly sparse vectors is infinite. To achieve global reconstruction of sparse solutions to parameterized elliptic PDEs over both physical and parametric domains, we combine the standard measurement scheme developed for compressed sensing in the context of bounded orthonormal systems with a novel mixed-norm based ℓ1 regularization method that exploits both energy and sparsity. In addition, we are able to prove that, with minimal sample complexity, error estimates comparable to the best s-term and quasi-optimal approximations are achievable, while requiring only a priori bounds on polynomial truncation error with respect to the energy norm. Finally, we perform extensive numerical experiments on several high-dimensional parameterized elliptic PDE models to demonstrate the superior recovery properties of the proposed approach.
Pollen Grain Variation among Some Trees of Fabaceae in New Damietta, Egypt.

The current study aims at investigating the morphology of pollen grain for eleven woody species of Fabaceae cultivated in New Damietta, Egypt. The pollen grains were prepared according to Erdtman's acetolysis method , described and photographed using light microscopy (LM). The results showed variations in their qualitative and quantitative features. Differences in pollen shape (subprolate, prolate, prolate-spheroidal, oblate-spheroidal), size (medium to large), pollen arrangement (monads or polyads), amb (circular, irregular, elliptic or triangular), polarity (isopolar, heteropolar), type of apertures ( porate, colporate, inaperturate ) and exine ornamentation patterns (psilate, verrucate, granulate, reticulate and psilate-perforate ) are characterized. Electrophoretic (SDS-PAGE) examination of total pollen protein content of four species ( Acacia ehrenbergiana , Cassia glauca , Delonix regia, Leucaena leucocephala ) revealed distinct protein bands. The results of this study is of great importance in understanding the pollen types of some allergy producing species.
Reducing day‐level emotional exhaustion: The complementary role of high involvement work systems and engaging leadership

High involvement work systems (HIWS) have been found to be improve employee well-being. The underlying processes through which HIWS influence employee well-being and the conditions under which these practices work are not fully understood. This study draws on job demands-resources theory to address this gap by theorising two novel mediators, that is, work pressure and bonding social capital, to explain how HIWS influence emotional exhaustion. We further proposed that engaging leadership as a proxy of line manager implementation of HIWS would strengthen these relationships. An integrated model is presented on how, why, and when HIWS influence employee well-being. Using data collected from 97 employees in a pharmaceutical company via a general survey and then a diary survey for 5 working days, this study found that HIWS alleviated day-level emotional exhaustion through their experience of higher day-level bonding social capital and lower day-level work pressure and these relationships were stronger under high level of engaging leadership.
Deuterium beam acceleration with 3rd harmonic ion cyclotron resonance heating in Joint European Torus: Sawtooth stabilization and Alfvén eigenmodes

Experiments on accelerating NBI-produced deuterium (D) beam ions from their injection energy of ∼110 keV up to the MeV energy range with 3rd harmonic ion cyclotron resonance heating were performed on the Joint European Torus [P. H. Rebut and B. E. Keen, Fusion Technol. 11, 13 (1987)]. A renewed set of nuclear diagnostics was used for analysing fast D ions during sawtooth stabilization, monster sawtooth crashes, and during excitation of Alfven eigenmodes (AEs) residing inside the q = 1 radius. The measurements and modeling of the fast ions with the nonlinear HAGIS code [S. D. Pinches et al., Comput. Phys. Commun. 111, 133 (1998)] show that monster sawtooth crashes are strongly facilitated by the AE-induced re-distribution of the fast D ions from inside the q = 1 radius to the plasma edge.
TECHNOLOGICAL LITERACY AND RESOURCE MANAGEMENT IN SME INCOME

The characteristics of SMEs continue to be highlighted, but the exciting thing behind their strengths are acute unresolved problems such as technology skills, human resource management and finance. Borrowing assumptions from resource-based theory, this study tries to examine the effect of technological literacy, working capital, and labour management on the income of SMEs. The sample consisted of 100 SMEs in 14 industries randomly assigned proportionally based on their industry type and filled out the research questionnaire directly. The collected questionnaires were tabulated and analyzed using the Partial Least Square method. The results show that technological literacy, working capital, and labour management positively affect business income individually and simultaneously. These findings record that 45 per cent of the sample do not integrate their products with competitors because they are less skilled in using information media to measure competitors' capabilities. In practice, technological literacy can be transformed for production, administration, and product marketing activities to maximize business income.
On Nonlinear Radial Oscillations in Convective RR Lyrae Stars. II. Comparison of a Radiative and a Convective Model

An adaptive-grid algorithm is employed to obtain full-amplitude oscillations of a radiative and a convective RR Lyrae model that sits near the red edge. It is shown that this numerical technique is superior to the traditional one in that it is capable of computing smooth radial velocity and light curves. This success is achieved because the adaptive grid is able to detect the ionization zones and to track them during the pulsation cycles. A phenomenological model for turbulent-convective energy transport is employed
Conceptual Development of Factors Driving Fintech Adoption by Farmers

The study aims to identify most prominent factors for fintech adoption by farmers and proposes a conceptual framework on the basis of factors identified. The study finds that perceived risk is the most dominating factor that negatively affects the intention to adopt fintech products and services by farmers globally. Perceived risk and security are the major concerns to adopt fintech services. Other dominating factors are perceived usefulness, trust, perceived ease of use, convenience and social influence. Attitude, perceived risk, perceived value and user innovativeness are the significant mediators used in the literature. Demographic factors like age, gender and experience are the major moderators that strongly affected the association between drivers of fintech and intention to use it. The study also offers a new conceptual framework to enhance adoption of fintech products and services by farmers globally.
Fréchet completions of moderate growth old and (somewhat) new results

This article has two objectives. The first is to give a guide to the proof of the (so-called) Casselman-Wallach theorem as it appears in Real Reductive Groups II. The emphasis will be on one aspect of the original proof that leads to the new result in this paper which is the second objective. We show how a theorem of van der Noort combined with a clarification of the original argument in my book lead to a theorem with parameters (an alternative is one announced by Berstein and Kr\"otz). This result gives a new proof of the meromorphic continulation of the smooth Eisenstein series.
Parsec-scale rotation-measure distribution in the quasar 3C 147 at 8 GHz

VLBA polarization observations of the high-rotation-measure source 3C 147 were made at four frequencies in the available 8 GHz band. The distribution of total flux and rotation measure across the source has been imaged. The rotation measure of the inner jet of the source (${\sim}{-}1800$ rad m -2 ) is consistent with previous results. After removing the rotation of the plane of polarization due to a foreground screen, the derived intrinsic magnetic field structure of the source on parsec scales is roughly transverse to the predominant jet direction, indicating the presence of relativistic shocks or a dominant toroidal jet B -field component.
CEOs’ uncommon names and corporate innovation

Abstract I study the relationship between a Chief Executive Officer (CEO)’s uncommon name and corporate innovation. Consistent with the view that individuals with uncommon names prefer being distinctive, I document a significant positive relationship between CEO name uncommonness and corporate innovation quantity but not quality. To mitigate endogeneity concerns, I use the death of the CEO as a plausible exogenous shock and find results are robust in the difference-in-differences setting. I further show that the impact on innovation output is concentrated in the areas that are well-known to the company, of low economic value, and have a low scientific impact. Overall, the findings presented in this paper suggests that the heightened innovation activities by uncommonly named CEO exacerbate the investment distortions.
The orthogonal complements of $H^1(\mathbb{R})$ in its regular Dirichlet extensions

Consider the regular Dirichlet extension $(\mathcal{E},\mathcal{F})$ for one-dimensional Brownian motion, that $H^1(\mathbb{R})$ is a subspace of $\mathcal{F}$ and $\mathcal{E}(f,g)=\frac12\mathbf{D}(f,g)$ for $f,g\in H^1(\mathbb{R})$. Both $H^1(\mathbb{R})$ and $\mathcal{F}$ are Hilbert spaces under $\mathcal{E}_\alpha$ and hence there is $\alpha$-orthogonal compliment $\mathcal{G}_\alpha$. We give the explicit expression for functions in $\mathcal{G}_\alpha$ which then can be described by another two spaces. On the two spaces, there is a natural Dirichlet form in the wide sense and by the darning method, their regular representations are given.
Silicate and hydrocarbon emission from Galactic M supergiants

ABSTRA C T Following our discovery of unidentified infrared (UIR) band emission in a number of M supergiants in h and x Per, we have obtained 10-mm spectra of a sample of 60 galactic M supergiants. Only three new sources, V1749 Cyg, UWAql and IRCa40 427, appear to show the UIR bands; the others show the expected silicate emission or a featureless continuum. The occurrence of UIR-band emission in M supergiants is therefore much higher in the h and x Per cluster than in the Galaxy as a whole. Possible explanations for the origin and distribution of UIR bands in oxygen-rich supergiants are discussed. We use our spectra to derive mass-loss rates ranging from 10 ˇ8 to 10 ˇ4 M( yr ˇ1 for the new sample, based on the power emitted in the silicate feature. The relationship between mass-loss rate and luminosity for M supergiants is discussed, and correlations are explored between their mid-infrared emission properties.
Spectral theory of sparse non-Hermitian random matrices

Sparse non-Hermitian random matrices arise in the study of disordered physical systems with asymmetric local interactions, and have applications ranging from neural networks to ecosystem dynamics. The spectral characteristics of these matrices provide crucial information on system stability and susceptibility, however, their study is greatly complicated by the twin challenges of a lack of symmetry and a sparse interaction structure. In this review we provide a concise and systematic introduction to the main tools and results in this field. We show how the spectra of sparse non-Hermitian matrices can be computed via an analogy with infinite dimensional operators obeying certain recursion relations. With reference to three illustrative examples—adjacency matrices of regular oriented graphs, adjacency matrices of oriented Erdős–Rényi graphs, and adjacency matrices of weighted oriented Erdős–Rényi graphs—we demonstrate the use of these methods to obtain both analytic and numerical results for the spectrum, the spectral distribution, the location of outlier eigenvalues, and the statistical properties of eigenvectors.
The Weil bound and non-exceptional permutation polynomials over finite fields

A well-known result of von zur Gathen asserts that a non-exceptional permutation polynomial of degree $n$ over $\mathbb{F}_{q}$ exists only if $q<n^{4}$. With the help of the Weil bound for the number of $\mathbb{F}_{q}$-points on an absolutely irreducible (possibly singular) affine plane curve, Chahal and Ghorpade improved von zur Gathen's proof to replace $n^{4}$ by a bound less than $n^{2}(n-2)^{2}$. Also based on the Weil bound, we further refine the upper bound for $q$ with respect to $n$, by a more concise and direct proof following Wan's arguments.
The influence of personality traits and basic psychological needs on emotional engagement: An exploration in WeChat discussion

Online discussion is often adopted to facilitate students’ interaction and communication in higher education. Student engagement, which is a prerequisite of the expected outcomes in online discussion, has been conceptualized as a multi-component construct with behavioural, cognitive and emotional aspects. Compared to the first two aspects, emotional engagement has received the least empirical investigation. Nonetheless, previous research has proposed emotional engagement is related to student’s motivation and personality traits. This study adopted an exploratory approach investigating the associations between students’ basic psychological needs (BPNS, i.e., autonomy, competence and relatedness), personality traits (i.e., the Big Five) and emotional engagement during WeChat-based discussions. Participants included 94 Chinese university students who voluntarily completed an anonymous online survey measuring the aforementioned factors. As hypothesized, results indicated extroversion, agreeableness, openness and BPNS were positively related to emotional engagement in online discussion. Further mediation analyses indicated BPNS had mediation effects on the relationship between traits and engagement. This is a sign for researchers and practitioners that BPNS might be more important for improving emotional engagement in online discussion settings. The practical suggestions for teachers, research limitations and future work are also offered.
The Effects of Jurors’ Initial Views of Jury Service on Predeliberation Preferences for Prosecution or Defense

Abstract Jury trials are considered a key element of the American criminal justice system, even as many question the continued legitimacy of the jury system and its ability to be fair. Using data from actual jurors collected at both the beginning of jury service and after deliberations, this research examines whether jurors’ views of the fairness of the jury system affect perceptions of evidence presented to them at trial. By surveying jurors at the beginning of jury service, this research uses measurements of jurors’ views which are not affected by the court process itself. We find that jurors who enter jury service with a stronger belief in the fairness of juries are more likely to favor the defense after hearing the evidence. Policy implications are discussed, including using caution with harsher methods to improve juror rate of appearance because of the potential effects on jurors’ views.
Validity of Modified Vienna-CATS Score for Prediction of Venous Thromboembolism in Egyptian Cancer Cases

Background: Modern oncology has a compelling problem in predicting the hazards of venous thromboembolism (VTE) linked with chemotherapy. Although thromboprophylaxis is not now advised for primary prevention, it is typically advised that cases' risks of VTE be evaluated before treatment. Great interest was given to establishing effective predictive methods for VTE in cancer cases. The aim of this study: The study aimed to detect whether Egyptian cancer cases' VTE risk could be predicted using the modified Vienna Cancer and Thrombosis Study (CATS) score. Methods : 214 newly diagnosed cancer cases participated in a prospective cohort study completed before receiving chemotherapy. Cases who received chemotherapy were monitored for VTE episodes for six months. The Khorana score was determined. D dimer and soluble P-selectin (sP-selectin) levels were assessed, followed by a modified Vienna CATS score. For each example, the Vienna CATS score was determined. Results: Only 24 (11.2%) of the 214 cases who had follow-up experienced VTE episodes, and 5 of these (2.3%) were lost. Conclusion: When compared to the Khorana score, the modified Vienna CATS score was more sensitive in identifying cancer cases at risk for VTE. Implementation of modified Vienna CATS in the clinical workup of cancer cases could help physicians to tailor antithrombotic therapy and lead to the perfect use of thromboprophylaxis.
Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit

Algorithms based on the hard thresholding principle have been well studied with sounding theoretical guarantees in the compressed sensing and more general sparsity-constrained optimization. It is widely observed in existing empirical studies that when a restricted Newton step was used (as the debiasing step), the hard-thresholding algorithms tend to meet halting conditions in a significantly low number of iterations and are very efficient. Hence, the thus obtained Newton hard-thresholding algorithms call for stronger theoretical guarantees than for their simple hard-thresholding counterparts. This paper provides a theoretical justification for the use of the restricted Newton step. We build our theory and algorithm, Newton Hard-Thresholding Pursuit (NHTP), for the sparsity-constrained optimization. Our main result shows that NHTP is quadratically convergent under the standard assumption of restricted strong convexity and smoothness. We also establish its global convergence to a stationary point under a weaker assumption. In the special case of the compressive sensing, NHTP effectively reduces to some of the existing hard-thresholding algorithms with a Newton step. Consequently, our fast convergence result justifies why those algorithms perform better than without the Newton step. The efficiency of NHTP was demonstrated on both synthetic and real data in compressed sensing and sparse logistic regression.
DNA detection on transistor arrays following mutation-specific enzymatic amplification

An integrated array of silicon field-effect transistor structures is used for electronic detection of label-free DNA. Measurements of the dc current–voltage characteristics of the transistors gives us access to reproducible detection of single- and double-stranded DNA, locally adsorbed on the surface of the device. We combine this approach with allele-specific polymerase chain reaction, to test for the 35delG mutation, a frequent mutation related to prelingual nonsyndromic deafness.
Petrochronology of polygenetic white micas (Naxos, Greece)

Naxos in the Greek Cyclades preserves a type example of polymetamorphism. The southern and northern parts of the island record different Tertiary P–T histories between Eocene and Miocene times, including a blueschist facies event, one or more amphibolite/greenschist facies overprint(s) and contact metamorphism. Age attributions for these events are inconsistent in the literature. Here, we propose a new approach that combines electron probe microanalyzer (EPMA) characterization of the white mica (WM) with 39Ar‐40Ar–Rb‐Sr multichronometry. Textural–petrographic–compositional observations reveal that the polygenetic WM consists of five different generations: pre‐Eocene relicts, paragonite, high‐Si phengite, low‐Si phengite and muscovite. EPMA mapping of four WM samples, previously analysed by Rb‐Sr, reveals major element compositions heterogeneous down to the μm scale. Each WM consists of chemically distinct generations, documenting submicron‐scale retrogression of high‐pressure (HP) phengite grains to muscovite. Four WM samples from a N‐S traverse across the island were analysed by 39Ar‐40Ar stepheating, comparing coarse and fine sieve size fractions to obtain overdetermined K‐Ar systematics. Fine sieve fractions are richer in Cl than coarse ones. Linear arrays in Cl/K‐age isotope correlation diagrams show two predominant WM generations (one Cl‐poor at ca. 38 Ma and one Cl‐rich at <20 Ma). A lower‐grade sample from southern Naxos was less pervasively recrystallized, provides older ages and preserves at least three WM generations, including a relict WM with a pre‐Palaeocene K‐Ar age, consistent with the high Ar retentivity of WM in the absence of complete recrystallization. The age of the Cl‐poor end‐member WM approximates the age of the HP event, 38 Ma. Ar inheritance in Cretaceous mica relicts is heterogeneous at the single‐grain scale. Comparing the degassing rates of the WM fractions rules out ‘multidomain’ diffusion. As no sample is monomineralic, the degassing rate of each polygenetic mica is instead controlled by the mass balanced sum of the unrelated rate constants of its constituent minerals. Given the commonness of zoned and composite micas, the approach detailed here is potentially useful for reconstructing polyphase metamorphic histories worldwide.