Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinico-haematological profile of adult pancytopenia patients at a tertiary care institute in South India

Background: Pancytopenia is not a disease by itself; rather it describes simultaneous presence of anemia, leukopenia and thrombocytopenia resulting from a number of disease processes. Varieties of hematological and nonhematological disorders may affect bone marrow either primarily or secondarily, resulting in the manifestation of pancytopenia. The incidence of various hematological disorders causing pancytopenia varies due to geographical distribution and genetic predisposition. This study highlights the spectrum of causes, clinical presentation and bone marrow morphology of pancytopenia. Methods: This prospective observational study was conducted for a period of two years at Al-Ameen Medical College, Bijapur, Bangalore. During this period, fifty patients with a hematological diagnosis of pancytopenia were studied during period in the department of pathology. Results: Among the 50 cases studied, 35 were males and 15 were females. Most of the patients presented with generalized weakness and fever. The commonest physical finding was pallor, followed by splenomegaly and hepatomegaly. Dimorphic anemia was predominant blood picture. Bone marrow study showed 72% hypercellular marrow, 12% normocellular and 16% hypocellular marrow. The commonest cause for pancytopenia was megaloblastic anemia followed by iron deficiency anaemia and malaria. Conclusions: The present study concludes that detailed hematological investigations along with bone marrow examination in pancytopenic patients is helpful to diagnose or rule out the causes of pancytopenia.
Postoperative clinical outcome of aortic valve surgery in elderly patients and the effect of advanced age on atrial fibrillation: a comparative retrospective study

Nowadays, because of the high incidence of symptomatic aortic valve diseases, elderly patients are evaluated more in terms of operation. Although aortic valve surgery is a risk factor for morbidity and mortality in elderly patients, long-term results are satisfactory. Bleeding, infection, stroke, arrhythmia, and respiratory pathologies such as respiratory failure and prolonged mechanical ventilation are the most common causes of morbidity. Atrial ABSTRACT
How Are Self-Determination Components Taught to Improve Reading Outcomes for Elementary Students With or At Risk for Learning Disabilities?

Research findings illustrate the strong connection between self-determined learning and reading performance for students with or at risk for disabilities. Students with or at risk for learning disabilities (LDs), who are at increased risk for academic failure, may benefit from instruction to promote self-determination skills. Causal Agency Theory has driven research on interventions to support the development of self-determination in people with disabilities since the 1990s; however, this work has most often focused on adolescents and young adults. Self-determination skills develop over the lifespan—and targeting the building blocks for these skills in the elementary years can lay a foundation for the development of self-determined learners in reading and beyond. As such, this systematic review sought to investigate to what extent self-determination skills were taught to improve reading outcomes for students with or at risk for LD in kindergarten through fifth grade. Twelve studies met criteria for inclusion; two randomized controlled trials (RCTs) and 10 single-case design studies. Results indicate self-determination for students with LD at the elementary level is limited; all interventions used a subcomponent related to self-regulation. Goal setting and positive attributions were also investigated but within intervention packages alongside self-regulation. Future researchers should study the effects of interventions that use other self-determination components for this population of students.
Kindness as a Stress Reduction–Health Promotion Intervention: A Review of the Psychobiology of Caring

Chronic stress is a ubiquitous problem shouldered by many people worldwide. Although the stressors are myriad (eg, loneliness, finances, health, discrimination), the corporal response to them either causes or exacerbates mental and physical illness, including depression, anxiety, and cardiovascular disease. Identifying efficient ways to help people buffer their response and promote resilience and wellness is critical to improving overall health. Positive interpersonal connection is a proven way to promote resilience and happiness. It is associated with decreased mortality and markers of better health. Kindness and caring are prosocial behaviors that build positive interpersonal connections and can uplift both the giver and receiver. Simply seeing kindness and caring activates the neuropsychology of kindness, elevating the viewer and promoting generosity, interpersonal connection, and inclusion. That augmenting positive emotions, enhancing interpersonal connection, and inducing prosocial behavior change are possible through seeing kindness opens the opportunity to bolster resilience in higher stress settings like health care. In a recent study, watching kindness media in a health care setting rapidly increased self-reported feelings of happiness, calm, gratitude, and being inspired. Viewers were significantly more generous. Providing staff and patients with a nonjudgmental lift to enhance caring interactions through kindnesses media can be an important, low-cost adjunct to improving the healthcare environment.
Mathematics Determination of Single Tuition: Efforts to Achieve Good Governance

Determination of new student tuition fees for new students needs to be done systematically and mathematically. Therefore, it is necessary to develop an instrument that can be used to determine it. This study aims to find a mathematical pattern of determining single tuition for new students. The development of the instrument was carried out using the five stages of ADDIE. The results of the development obtained eight parameters used to determine single tuition. The eight parameters are the ownership status of Indonesia Smart Card (KIP)/Jakarta Pintar Card (KJP)/Prosperous Family Card (KKS), electrical power, status and occupation of the father, mother's status and occupation, amount of father's income, amount of mother's income, average grade point average, and college choice. Each parameter has a mathematical stratification option. Each parameter is given weighting according to the level of needs of each. Then the value is recapitulated based on the score of each parameter multiplied by the weight. This final grade is used for ranking and determining the amount of single tuition. The development of a single tuition determination instrument is a form of justice, transparency, accountability, effective and efficient as an effort to realize good governance at IAIN Ponorogo.
Tax Policy Expectations and Firm Behavior: Evidence from the 2016 U.S. Election and the Tax Cuts and Jobs Act

We examine how beliefs about tax policy affect firms’ investment decisions. Exploiting the periods around the surprise election of Donald Trump, who campaigned heavily on tax reform, and the Tax Cuts and Jobs Act (TCJA), we find that expectations regarding tax policy have both first-moment (sentiment) and second-moment (uncertainty) effects on investment, which vary heterogeneously across events and firms. In particular, we document that tax policy sentiment (uncertainty) enhances (dampens) the change in investment around the passage of the TCJA, suggesting that these beliefs affect the ability of tax reforms to spur economic growth.
Superflow decay in a toroidal Bose gas: The effect of quantum and thermal fluctuations

We theoretically investigate the stochastic decay of persistent currents in a toroidal ultracold atomic superfluid caused by a perturbing barrier. Specifically, we perform detailed three-dimensional simulations to model the experiment of Kumar et al. in [Phys. Rev. A 95 021602 (2017)], which observed a strong temperature dependence in the timescale of superflow decay in an ultracold Bose gas. Our ab initio numerical approach exploits a classical-field framework that includes thermal fluctuations due to interactions between the superfluid and a thermal cloud, as well as the intrinsic quantum fluctuations of the Bose gas. In the low-temperature regime our simulations provide a quantitative description of the experimental decay timescales, improving on previous numerical and analytical approaches. At higher temperatures, our simulations give decay timescales that range over the same orders of magnitude observed in the experiment, however, there are some quantitative discrepancies that are not captured by any of the mechanisms we explore. Our results suggest a need for further experimental and theoretical studies into superflow stability.
Building Robust Active Galactic Nuclei Mock Catalogs to Unveil Black Hole Evolution and for Survey Planning

The statistical distributions of active galactic nuclei (AGNs), i.e., accreting supermassive black holes (BHs), in mass, space, and time are controlled by a series of key properties, namely, the BH–galaxy scaling relations, Eddington ratio distributions, and fraction of active BH (duty cycle). Shedding light on these properties yields strong constraints on the AGN triggering mechanisms while providing a clear baseline to create useful mock catalogs for the planning of large galaxy surveys. Here we delineate a robust methodology to create mock AGN catalogs built on top of large N-body dark matter simulations via state-of-the-art semiempirical models. We show that by using as independent tests the AGN clustering at fixed X-ray luminosity, galaxy stellar mass, and BH mass, along with the fraction of AGNs in groups and clusters, it is possible to significantly narrow down the choice in the relation between BH mass and host galaxy stellar mass, the duty cycle, and the average Eddington ratio distribution, delivering well-suited constraints to guide cosmological models for the coevolution of BHs and galaxies. Avoiding such a step-by-step methodology inevitably leads to strong degeneracies in the final mock catalogs, severely limiting their usefulness in understanding AGN evolution and in survey planning and testing.
Effects of Housing Environmental Characteristics on Pneumonia Occurrence in Under-Five-Year-Old Children in South Tangerang City

Background: Pneumonia is an ongoing public health problem in Indonesia, ranking as the second most prevalent disease in South Tangerang. Purpose: This study aimed to examine the physical housing environment characteristics in relation to pneumonia occurrence rates among children under-five years of age in South Tangerang City. Method: This research was carried out as a quantitative study with a case-control study design. The population consisted of children under five who were diagnosed with pneumonia at Public Health Center (PHC) of Pamulang and PHC of Ciputat Timur between January 2017 and March 2018. The data were analyzed using the chi-square statistical test. Results: The following characteristics of the housing environment were shown to be associated with pneumonia are bad routines of opening windows (p = 0.00; OR = 11; 95% CI = 2.59–46.78), location of the kitchen is in similar area with other rooms (p = 0.04; OR = 4.03; 95% CI = 1.20–13.53), unqualified humidity in the house (p = 0.05; OR = 3.86; 95% CI = 1.18–12.60), unqualified light intensity in the house (p = 0.01; OR = 9.04; 95% CI = 1.74–46.89), unqualified ventilation area (p = 0.02; OR = 4.50; 95% CI = 1.38–14.82), and unqualified occupancy (p = 0.03; OR = 4.84; 95% CI = 1.29–18.26). Conclusion: The community needs to maintain the physical environment in their houses, such as by opening the windows in the morning so that light comes in and the house does not get damp.
The Acceptance of Online English Language Learning of Undergraduate Students at Rajamangala University of Technology Thanyaburi

The purposes of this study were 1) to study the levels of the acceptance of online English language learning, 2) to study the factors affecting the acceptance of online English language learning, and 3) to study the undergraduate students’ satisfaction towards studying English courses with online mode during summer semester in academic year 2019 at Rajamangala University of Technology Thanyaburi, Thailand. This research was employed by the Technology Acceptance Model (TAM) and conducted as a quantitative and qualitative research. The 400 samples were selected by simple random sampling, and the 30 key informants were chosen by purposive sampling. The statistics used for data analysis were percentage, mean, standard deviation, t-test, f-test, correlation, and multiple regression. Findings of the research indicated that the acceptance and the satisfaction of online English language learning were not affected by the individual differences. The acceptance of online English language learning was at high level ( =3.9): Perceived Usefulness ( =3.96), Perceived Ease of Use ( =3.94), Attitude ( =3.79), and Intention ( =3.7) which was affected by learners ( =4.17), teachers ( =4.14), learning activities ( =4.14), measurement and assessment ( =4.08), and technology ( =3.96) at high level ( =4.11). The overall satisfaction of the students towards online English learning was also at high level ( =3.97): knowledge and skills of the teachers (X =4.09), the clear and consistent measurement and assessment ( =4.07), and learning feedback ( =4.05). The key factor of learning management affecting the acceptance of online English language learning was the measurement and assessment (β= .461) at . 05 statistically significant level. The greatest factor affecting the acceptance of online English learning was Perceived Ease of Use (β= .856) at . 05 statistically significant level. The students suggested that the teachers should have teaching techniques to stimulate students’ interests and provide a variety of activities, such as VDO recording, asking and answering question activities, and group presentation, whereas the students should pay more attention than studying in classroom and have information technology skills. The major online learning constraint was the stability of internet signal. Moreover, the students preferred studying in classroom. If the university continues online English learning, the learning management should be explained in details including with providing facilitators of learning and lower tuition fees.
Carbon Dots Fluorescence-Based Colorimetric Sensor for Sensitive Detection of Aluminum Ions with a Smartphone

In this work, blue emission carbon dots (CDs) are synthesized in the one-pot solvothermal method using naringin as precursor. The CDs are used to develop a ratiometric fluorescence sensor for the sensitive analysis of Al3+ with a detection limit of 113.8 nM. A fluorescence emission peak at 500 nm gradually appears, whereas the original fluorescence peak at 420 nm gradually decreases upon the increase in the Al3+ concentration. More importantly, the obvious color change of the CDs probe from blue to green under a 360 nm UV lamp can be identified by a smartphone and combined with the RGB (red/green/blue) analysis. This results in a visual and sensitive analysis of Al3+ with a detection limit of 5.55 μM. Moreover, the high recovery is in the 92.46–104.10% range, which demonstrates the high accuracy of this method for actual samples’ analysis. The use of a smartphone and the RGB analysis greatly simplifies the operation process, saves equipment cost, shortens the detection time, and provides a novel method for the instant, on-site, visual detection of Al3+ in actual samples.
Bioinorganic Membrane Using A New Kurumi Liquid Crystal

The work characterizes develop a single layer bioinorganic membrane using nano-molecule Kurumi C 13 H 20 BeLi 2 SeSi / C 13 H 19 BeLi 2 SeSi, is well characterize computationally. As its scientific name 3-lithio-3-(6-{3-selena-8-beryllatricyclo [3.2.1.02,⁴]oct-6-en-2-yl}hexyl)-1-sila-2-lithacyclopro -pane. The work was based on a molecular dynamics (MD) of 1ns, using the CHARMM22 force field, with step 0.001 ps. Calculations indicate that the final structure, arrangement have the tendency to form a single layer micellar structure, when molecular dynamics is performed with a single layer. However, when molecular dynamics were carried out in several layers, indicates the behavior of a liotropic nematic liquid crystal order. Kurumi features the structure polar-apolar-polar predominant. Limitations our study has so far been limited to computational simulation via quantum me chanics e molecular mechanics (QM/MM), an applied theory. Our results and calculations are compatible and with the theory of QM/MM, but their physical experimental verification depend on advanced techniques for their synthesis, obtaining laboratory for experimental biochemical. Going be - yond imagination, the most innovative and challenging proposal of the work the construction of a structure compatible with the formation of
How High Is the Recreation Value of Successional Forests Growing Spontaneously on Coal Mine Spoil Heaps?

Research highlights: Recreation value increases with the age of replanted as well as successional forests. Successional forests are not systematically less valuable for recreation than replanted forests. Succession may be used as a viable and low-cost reclamation practice of spoil heaps. Background and objectives: Afforestation has been a popular practice in post-mining land reclamation in the Czech Republic. To expand the current evidence on the recreation values of reclaimed forests, we conducted a valuation study for most typical reclaimed forests, as well as for successional forests spontaneously growing on surface coal mine deposit heaps. Using two distinct measurement methods, we also explore whether the estimated recreation value of forests is robust. Materials and Methods: An online survey was conducted in 2016 on a sample of residents living in the vicinity of coal mine deposit heaps, residents of the adjacent region of Karlovy Vary, and a control population from the central Bohemian region. Participants evaluated visual representations of forest stands typical for reclamation and succession, along with commercial spruce forest as a reference type. In the direct measurement, we measured the attractiveness of a respective forest for a walk using a 5-point scale. In the indirect measurement, a hypothetical choice between two forests for a walk was elicited in a discrete choice experiment. Results: Both direct and indirect measurements provide similar results. All reclaimed forests have a lower recreation value than the reference spruce forest. Successional forests are not systematically less valuable for recreation than replanted forests and the recreation value of both types increases with their age. The age, gender, and education of the participants did not affect the recreation value of a forest. Conclusions: We demonstrate that succession may be used as a viable and low-cost reclamation practice of spoil heaps emerging as a by-product of open-cast coal mining. With recreation as only one of many forest uses, our findings need to be interpreted vis-à-vis the objectives and expected results for individual sites and their habitat conditions.
Comparison of Polishing Methods Used in Extrinsic Discolouration of Primary Teeth in Terms of Surface Roughiness 

BackgroundSurface roughness is one of the main factors affecting bacterial adhesion, biofilm growth, plaque formation and coloration on the tooth surface. Improper polishing may increase roughness or not contribute to a reduction in roughness while removing biofilms on tooth surfaces. The aim of this study is to examine the effects of different polishing pastes applied to the enamel of primary teeth on the surface roughness through AFM, which enables a more detailed examination of the measurements, and to evaluate the roughness changes created by the paste on the surface. MethodsIn the present study, in order to compare polishing made using Septodent Détartrine, Kerr Cleanic, Shofu Mersaage Regular under the recommendations of the companies in addition to the application of pumice with a rubber brush, a total of 88 samples with 22 samples in each group were created using 88 primary molar teeth. Before and after polishing, roughness measurements and visualizations were performed with atomic force microscopy (AFM). After polishing, Ra (average roughness) values, which express the surface roughness of the re-scanned samples, were calculated so that the samples were the same as the first scanning. For statistical analysis, Shapiro-Wilk normality test and generalized linear models tests were applied and p <0.05 was considered as statistically significantResultsIn the groups; while there was no significant difference in terms of roughness values ​​(Ra) within the group (p> 0.05), a statistically significant reduction in roughness (Ra) was observed on the sample surfaces after polishing in all groups compared to the baseline (p <0.05). According to the data obtained; all polishing methods used in the treatment of primary tooth discoloration can reduce the plaque formation and thus the amount of recoloring by reducing the surface roughness at a similar level.ConclusionAccordingly, it has been observed that the current polishing pastes do not provide a significant advantage over the traditional polishing method (polishing brush with pumice) in terms of surface roughness in removing discoloration in primary teeth.
Pauli Error Estimation via Population Recovery

Motivated by estimation of quantum noise models, we study the problem of learning a Pauli channel, or more generally the Pauli error rates of an arbitrary channel. By employing a novel reduction to the "Population Recovery" problem, we give an extremely simple algorithm that learns the Pauli error rates of an n-qubit channel to precision ϵ in ℓ∞ using just O(1/ϵ2)log⁡(n/ϵ) applications of the channel. This is optimal up to the logarithmic factors. Our algorithm uses only unentangled state preparation and measurements, and the post-measurement classical runtime is just an O(1/ϵ) factor larger than the measurement data size. It is also impervious to a limited model of measurement noise where heralded measurement failures occur independently with probability ≤1/4.We then consider the case where the noise channel is close to the identity, meaning that the no-error outcome occurs with probability 1−η. In the regime of small η we extend our algorithm to achieve multiplicative precision 1±ϵ (i.e., additive precision ϵη) using just O(1ϵ2η)log⁡(n/ϵ) applications of the channel.