Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Tele Nursing on Health Outcomes of Children with Rheumatic Arthritis and Satisfaction of Their Caregivers during Covid-19 Pandemic

Rheumatoid arthritis (RA) is autoimmune illness which mostly affects the joints. Access to care and rheumatic arthritis outcomes and satisfaction may be improved by utilizing the tele-nursing especially during the outbreak of COVID-19. Aim : To investigate the effect of tele nursing on health outcomes of children with rheumatic arthritis and satisfaction of their caregivers during Covid 19 pandemic. Design : A quasi experimental research design. Setting : Three out patients’ clinics of rheumatology were selected from; Menoufia University hospital, Teaching hospital and school health insurance clinics. Subjects : A purposive sample of 120 students were selected and divided equally to study and control group. Instruments: Data was collected using The Arabic form of The Juvenile Arthritis Multidimensional Assessment Report & Client Satisfaction Questionnaire-8. Results :The health outcomes of children with RA, including functional abilities, pain intensity, joint pain and swelling, joint stiffness, medication adherence, disease status and disease course, and general well-being, showed statistically significant differences between the study group and control group following the intervention. Moreover, there was a significance improvement in the levels of the quality of life (physical and psychological) on post intervention among study group than control group. Additionally, for the study group, there was a statistically significant improvement in the caregivers' satisfaction with the health services they received. Conclusion : Tele-nursing intervention is a significant method of health care delivery and has a positive impact on health outcomes of children with RA and increases the caregivers' satisfaction especially after arising the era of COVID 19 Pandemic. Recommendations : High-quality researches incorporating other undiscovered health outcomes and satisfaction are required to establish the benefit of tele-nursing in enhancing patient care.
On the construction of fully interpreted formal languages which posses their truth predicates

We shall first construct by ordinary recursion method subsets to the set D of Gödel numbers of the sentences of a language L. That language is formed by the sentences of a fully interpreted formal language L, called an MA language, and sentences containing a monadic predicate letter T . From the class of the constructed subsets ofD we extract one set U by transfinite recursion method. Interpret those sentences whose Gödel numbers are in U as true, and their negations as false. These sentences together form an MA language. It is a sublanguage of L having L as its sublanguage, and T is its truth predicate. MSC: 00A30, 03B10, 47H04, 47H10, 68Q45
Dorronsoro's theorem in Heisenberg groups

A theorem of Dorronsoro from the 1980s quantifies the fact that real‐valued Sobolev functions on Euclidean spaces can be approximated by affine functions almost everywhere, and at all sufficiently small scales. We prove a variant of Dorronsoro's theorem in Heisenberg groups: functions in horizontal Sobolev spaces can be approximated by affine functions which are independent of the last variable. As an application, we deduce new proofs for certain vertical versus horizontal Poincaré inequalities for real‐valued functions on the Heisenberg group, originally due to Austin–Naor–Tessera and Lafforgue–Naor.
Effects of Mean Flow on Premixed Flame Ignition

ABSTRACT Ignition is an important process in many practical devices. Most studies of ignition have been performed in stagnant flows only, using asymptotic methods, numerical techniques or experiments. Although the importance of the minimum energy and ignition delay times was shown by these studies, the effects of turbulence on these processes remain unknown. In this paper Direct Numerical Simulation (DNS) is used to provide precise data on one of the mechanisms controlling ignition, i.e., the effect of a large flow velocity at the point where the spark is produced. Spark ignition in a constant speed flow is simulated using a thermal model for the spark. Results show that a minimal power is necessary for successful ignition in nonzero mean flows. This minimal power depends nearly linearly on the flow speed (except for very low speeds). For very high heating powers the ignition delay times become independent from the flow speed. A characteristic flame radius may be used to describe the ignition limit. For z.
RELATIVISTIC CORRECTION TO THE MOVEMENT OF MAGNETIC POLES

The equations of motion, modified by the relativistic correction to a rotating inclined magnetic field, are discussed. It is shown that the magnetic moment would precess under the influence of the retardation torques identifiable by several higher-order terms in the relativistic correction. The observed cyclical behaviors from the clock-like pulse-emitting pulsars reported by many researchers are likely to be the consequences of the retardation effect produced by an inclined magnetic moment of a spinning body. The results, which come from the study of two independently rotating magnetic moments, are in agreement with the observed pulsar data for the pulsar PSR B1828–11. These electromagnetic driving forces are presented for further exploration and discussion.
A free interpolation problem for a subspace of H∞

Given an inner function θ , the associated star‐invariant subspace Kθ∞ is formed by the functions f∈H∞ that annihilate (with respect to the usual pairing) the shift‐invariant subspace θH1 of the Hardy space H1 . Assuming that B is an interpolating Blaschke product with zeros {aj} , we characterise the traces of functions from KB∞ on the sequence {aj} . The trace space that arises is, in general, nonideal (that is, the sequences {wj} belonging to it admit no nice description in terms of the size of |wj| ), but we do point out explicit — and sharp — size conditions on |wj| which make it possible to solve the interpolation problem f(aj)=wj ( j=1,2,⋯ ) with a function f∈KB∞ .
The density distribution of the Galactic stellar halo as traced by blue horizontal branch stars

Data of blue horizontal branch (BHB) stars and RR Lyrae variable stars from the literature are combined with unpublished observations of BHB stars in five fields. A flattened power law is used to model the spatial distribution of the horizontal branch stars. Completeness of the data sample and contamination by blue stragglers and metal-rich main-sequence A stars are considered, and taken into account. Using a maximum-likelihood method, the following best-fitting parameters are obtained: a power-law index α=−3.2±0.3 and an axial ratio of q=0.52±0.11 for the isodensity surfaces. From the fit a value for the local density of BHB stars of ρ0=26+20−11 kpc−3 is found. The values of the three parameters are in complete agreement with recent determinations by other authors.
The effect of social responsibility disclosure on financial performance in the COVID-19 pandemic era

Abstract Various researchers have been conducted, and the results are mixed, inconsistent, and conducted before era of pandemic. The purpose of this study is to examine the impact of corporate social responsibility disclosure on financial performance in the era of pandemic base on Indonesian context. We use quantitative method using regression analysis. Secondary data have been collected for 36 companies in consumption industry listed in Indonesian Stock Exchange for the period of 2019–2021 which are the challenging years. We measure the disclosure of social responsibility using the global reporting index in the company’s annual report. For financial performance variables, we use return on asset, return on equity and Tobin’s Q, to see the consistency of the result. For the control variables, we use leverage and total asset. We found that corporate social responsibility disclosure consistently has a significant positive effect on return on asset, return on equity and for the value of Tobin’s Q. The corporate social responsibility in this study is assessed using personal judgment based on the Global Reporting Initiative social responsibility disclosure indicators. This proves that especially in the era of pandemic, non-financial information like corporate social responsibility disclosure is very powerful for the succeed of the company in the case of Indonesian context. This research was conducted using period when the company faced crisis that was different from previous economic crisis. Another consideration is about global pressure related to the issue of the impact of climate change. The result of this study will contribute to whether there is consistency in the findings when tested during pandemic crisis compared to the economic situation before pandemic.
Effect of Skincare Bundle Protocol on Nursing Performance Regarding Prevention of Skin Breakdown

Background: Skin breakdown includes non-blanchable erythema without underlying tissue loss, abrasion, and deep and extensive pressure ulcers. Hospitalization can cause skin breakdown due to medication, food, and mobility changes. Aim: To assess the effect of skincare bundle protocol on nursing performance regarding prevention of skin breakdown. Research Design: A quasi-experimental design was used. Setting: This study was conducted in Orthopedic Surgery Departments and traumatology Departments at El Hadara Orthopedic and Traumatology University Hospital, adult intensive care units at Main University Hospital and pediatric intensive care units at El-Shatby University Hospital of Alexandria Sample: composed of 120 nurses working in the previous mentioned settings Tools : A self-administered questionnaire, which includes the following: part I Socio-demographic characteristics of the nurses. Part II : Nurses’ knowledge toward skin care bundle for prevention of skin breakdown. Skin care bundle observational checklist to assess nurses’ practices toward skin care bundle application. Results: A statistically significant difference in nurses' knowledge and practices about the skin care bundle between pre and post-protocol implementation was found. Conclusion: The study proved that; skincare bundle protocol improved nurses’ practices toward prevention of skin breakdown. Recommendations: Publication and dissemination of the skincare bundle protocol to improve nurses’ performance toward skincare to prevent skin breakdown and decrease its complications.
The impact of an anatomy and physiology open textbook on student satisfaction and engagement in a regional Australian university

The rising cost of tertiary study-related expenses, including textbooks, has been shown to influence enrolment rates, course choices and quality of learning experiences and outcomes for students. To address issues related to affordability and accessibility, the University of Southern Queensland (UniSQ) has recently implemented alternative learning materials through open educational resources (OERs). Published by UniSQ in 2021, the ‘Fundamentals of Anatomy and Physiology’ is an opensource, online textbook provided as a supplementary resource for students undertaking first-year anatomy and physiology courses. To investigate student satisfaction and the overall usefulness of implementing this textbook into undergraduate courses, responses to a student feedback survey were analysed. The main themes that emerged from the qualitative feedback included 1. increased student accessibility to course information, 2. improved tertiary education affordability, 3. enhanced course content comprehension, 4. provisioned student agency and choice to interact with formats that best suited the student learning context and 5. overall was rated as a beneficial and useful resource. Although the majority of students who responded to the survey (56%) did not have any negative perceptions about the online textbook per se, there were two negative response themes that emerged regarding the user interface and internet connectivity. Further evaluation regarding retention rates and overall achievement remains to be addressed.
Half-space theorems and the embedded Calabi-Yau problem in Lie groups

We study the embedded Calabi-Yau problem for complete embedded constant mean curvature surfaces of finite topology or of positive injectivity radius in a simply-connected three-dimensional Lie group X endowed with a left-invariant Riemannian metric. We first prove a half-space theorem for constant mean curvature surfaces. This half-space theorem applies to certain properly immersed constant mean curvature surfaces of X contained in the complements of normal R^2 subgroups F of X. In the case X is a unimodular Lie group, our results imply that every minimal surface in X-F that is properly immersed in X is a left translate of F and that every complete embedded minimal surface of finite topology or of positive injectivity radius in X-F is also a left translate of F.
Identification of efficient learning classifiers for discrimination of coding and non-coding RNAs in plant species

Though the non-coding RNAs (ncRNAs) do not encode for proteins, they act as functional RNAs and regulate gene expression besides their involvement in disease-causing mechanisms and epigenetic mechanisms. Thus, discriminating ncRNAs from coding RNAs (cRNAs) is important in transcriptome studies. Several machine learning-based classifiers, including deep learning classifiers, have been employed for discriminating cRNAsfrom ncRNAs. However, the performance comparison of such classifiers in plant species is yet to be ascertained. Thus, in the present study, the performance of the classifiers such as Deep Neural Network (DNN), Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network (ANN) were evaluated for classifying cRNAs and ncRNAsby using the datasets of plant species including crops such as rice, wheat, maize, cotton, sunflower, barley, banana, grape, papaya. Further, the performance of classifiers was assessed by following the cross-validation process as well as by considering an independent test data set of 3,997 cRNAs and 4,110 ncRNAs. The results revealed that Random Forest classifier exhibited highest performance accuracy (99.803%) among the machine learning classifiers, followed by DNN (99.519%), SVM (97.364%) and ANN (99.260%). The present study is expected to help computational and experimental biologists for easy discrimination between coding and non-coding RNAs.
Using Artificial Intelligence to improve Writing Fluency for The Preparatory Stage Students in Distinguished Governmental Language Schools."

This study aimed to investigate the effect of using some proposed AI activities on enhancing EFL writing fluency for the preparatory stage students in Distinguished Governmental Language Schools. Participants of the study were 33students in preparatory three from Hassan Abu Bakr governmental language school in the academic year 2021– 2022. The researcher`s instruments included writing fluency components checklist, a rating scoring rubric and a pre/post writing fluency test. Participants were taught through using some relevant AI applications designed by the researcher that included Minecraft game with grammarly mood, Semantris vocabulary AI game and virtual reality in AI mood that enabled the students to practise using English in vivid situations. Participants’ scores on the pre and posttest were statistically analyzed using T-test and effect size. The researcher also used a qualitative analysis of the students' writing fluency level. Results of the study revealed the positive effect of using AI applications on enhancing third preparatory stage students` writing fluency.
Hyperplane arrangements in CoCoA

We introduce the package \textbf{arrangements} for the software CoCoA. This package provides a data structure and the necessary methods for working with hyperplane arrangements. In particular, the package implements methods to enumerate many commonly studied classes of arrangements, perform operations on them, and calculate various invariants associated to them.
The Inhibition of the Inducible Nitric Oxide Synthase Enhances the DPSC Mineralization under LPS-Induced Inflammation

Nitric oxide (NO) is a key messenger in physiological and pathological processes in mammals. An excessive NO production is associated with pathological conditions underlying the inflammation response as a trigger. Among others, dental pulp inflammation results from the invasion of dentin by pathogenic bacteria. Vital functions of pulp mesenchymal stem cells (DPSCs, dental pulp stem cells), such as mineralization, might be affected by the inducible NOS (iNOS) upregulation. In this context, the iNOS selective inhibition can be considered an innovative therapeutic strategy to counteract inflammation and to promote the regeneration of the dentin-pulp complex. The present work aims at evaluating two acetamidines structurally related to the selective iNOS inhibitor 1400W, namely CM544 and FAB1020, in a model of LPS-stimulated primary DPSCs. Our data reveal that CM544 and even more FAB1020 are promising anti-inflammatory compounds, decreasing IL-6 secretion by enhancing CD73 expression-levels, a protein involved in innate immunity processes and thus confirming an immunomodulatory role of DPSCs. In parallel, cell mineralization potential is retained in the presence of compounds as well as VEGF secretion, and thus their angiogenetic potential. Data presented lay the ground for further investigation on the anti-inflammatory potential of acetamidines selectively targeting iNOS in a clinical context.
On the Borel mapping in the quasianalytic setting

The Borel mapping takes germs at $0$ of smooth functions to the sequence of iterated partial derivatives at $0$. We prove that the Borel mapping restricted to the germs of any quasianalytic ultradifferentiable class strictly larger than the real analytic class is never onto the corresponding sequence space.
Robust Learning of Trimmed Estimators via Manifold Sampling

We adapt a manifold sampling algorithm for the nonsmooth, nonconvex formulations of learning that arise when imposing robustness to outliers present in the training data. We demonstrate the approach on objectives based on trimmed loss. Empirical results show that the method has favorable scaling properties. Although savings in time come at the expense of not certifying optimality, the algorithm consistently returns high-quality solutions on the trimmed linear regression and multiclass classification problems tested.
Coarse Obstructions to Positive Scalar Curvature Metrics in Noncompact Arithmetic Manifolds

Block and Weinberger show that an arithmetic manifold can be endowed with a positive scalar curvature metric if and only if its $\rationals$-rank exceeds 2. We show in this article that these metrics are never in the same coarse class as the natural metric inherited from the base Lie group. Furthering the coarse $C^\ast$-algebraic methods of Roe, we find a nonzero Dirac obstruction in the $K$-theory of a particular operator algebra which encodes information about the quasi-isometry type of the manifold as well as its local geometry.
Small but voracious: invasive generalist consumes more zooplankton in winter than native planktivore

In recent years, Lake Constance has experienced an invasion and domination of three-spined stickleback ( Gasterosteus aculeatus ) in the pelagic zone, which has coincided with a decline in the native whitefish ( Coregonus wartmanni ) population. Similar massive invasions of sticklebacks into pelagic zones have been recognized also in marine areas or small lakes worldwide. However, their diet overlaps with native species is rarely evaluated, especially in the winter season, which often presents a bottleneck for fish survival. In this study, we compared the diet of pelagic sticklebacks with the diet of the substantially larger native whitefish in different seasons, to evaluate the threat of the recent stickleback invasion on whitefish populations. By monthly sampling of zooplankton and both fish species diets, we could demonstrate that stick-lebacks select similar prey throughout most of the year and consume more prey than whitefish during the winter. With relations between prey availability and prey selection, interspecific and intraspecific seasonal diet variability and indices like a prey-specific index of relative importance, we discuss the importance of zooplankton species traits and abundance for whitefish and stickleback predation. This study shows that sticklebacks, despite their small size, represent a serious potential diet competitor to native planktivorous fish. Sticklebacks quickly adapt to new environments, and thus we advocate precautions regarding their introduction into similar lakes as Lake Constance, as this could cause irreversible ecological changes.
IFRS Adoption and Accrual-Based Managed Earnings in Nigeria

This study aims to evaluate the effects of the adoption of the International Financial Reporting Standards (IFRS) on the accrual-based managed earnings behavior of firms in Nigeria. The panel corrected standard errors (PCSE) multivariate method was employed to analyze firm-level data for 125 firms and covers the 11 sectors on the Nigerian Stock Exchange (NSE). The results of the Welch–Satterthwaite test show a significant difference between the pre-adoption (2003–2011) and post adoption (2012–2020) discretionary accruals. These variables conformed to the a priori expectation and are all significant in the most parsimonious models. Contrary to some developed countries, the data does not support the idea that leverage, growth, and book-to-market value influence managed earnings for Nigeria. Managed earnings are not solely time-driven but are explained by certain firm characteristics (IFRS adoption, post-adoption firm-size, post-adoption audit firm’s size, returns on equity and asset turnover). Future research could explore opportunities in the areas of limitation we identified.
Spin exchange in superconductors

Small amounts of the magnetic rare earths were dissolved in lanthanum, and the effects on the superconducting transitions are shown. The change in the superconducting transition temperature of lanthanum caused by varying the dissolved amounts of gadolinium was investigated in detail, and the results are shown graphically. (W.D.M.)
The nanoscale engineering of nematic liquid crystals for displays

Liquid crystal displays, LCDs, are the world's ubiquitous communication devices. In only 50 years, from the late 1960s to the present day, we have seen the birth of a new industry and its accession to dominance across the globe. How was this achieved? Imagination and innovation from device engineers? Yes, but the dreams could only be realised via equally extraordinary developments in the nanoscale engineering of molecular structures of materials through rational design. This article describes how the chemistry of liquid crystals developed so that mesophase structure, transition temperatures and physical properties could be predicted by the best practitioners of the subject so that new device concepts could be realised.