Miracle-dz/UniFAR-FTUs huggingface dataset:
in conceptualisations

Purpose: School-based programmes face a variety of personal, environmental and organisational challenges to implementation. Stakeholders can provide crucial contextual information to improve implementation. The objective of this study was to explore teachers’ perspectives on implementation through a bottom-up participatory process. Methodology : A qualitative participatory approach was employed. This comprised groups of teachers theorising and creating schemas of school-based implementation. Findings : Two schemas were developed. Support, time, training and resources emerged as common components. Students and other educational stakeholders did not feature in either schema. Research Limitations: The schemas were developed by teachers in Ireland. The findings are relevant to that local context and generalisability beyond this may be limited. Research Implications: The developed schemas contain structural and content components that appear in published conceptual frameworks of programme implementation. Thus there is some correspondence between the views of published theorists and the current sample of teachers, particularly with regards leadership and teacher motivation. There are also disjunctures that deserve exploration, such as the lack of reference to students. Practical Implications : Participatory schema development could be of particular value to trainers working with educators. The generated schemas provide useful detail on current perspectives, which could be valuable part of any training process, or the pre-planning stages of implementation. Originality: This study describes a straightforward approach to revealing the perspectives of stakeholders that could help school-based implementation processes.
Community Pharmacists’ Perceptions of Their Role in Provision of Anemia Management in Jazan Region, Saudi Arabia, and the Associated Barriers

Background: As a result of the lack of research exploring community pharmacists’ perspectives on anemia care, this study examined the perceived practices and barriers to anemia management services in Saudi Arabia. Methods: A questionnaire was administered to community pharmacists to validate pharmacist perceptions of their role in anemia care. Using an 11-item role test, pharmacists were asked about their perceptions of anemia management. Pharmacy anemia management barriers were explored using 20 items, and their perceptions of inter-professional contact were examined by two items. Data analyses were performed using SPSS version 22. Results: This research involved 324 community pharmacists, 62.3% of whom were males. There were significant differences between the location of pharmacy education and the perceived practice of anemia management. The most common barriers to anemia counseling were patients’ lack of knowledge about anemia, health beliefs, patients’ perceptions that their doctor takes care of them, and time constraints. The majority of respondents said they would like to have more contact with other healthcare professionals regarding the care of anemia patients. Conclusions: A positive perception of pharmacists’ role in anemia management is prevalent among Saudi pharmacists in the Jazan region. Anemia management is challenging due to time limitations and patient-related problems.
Size of the largest cluster under zero-range invariant measures

We study the finite zero-range process with occupancy-dependent rate function g(.). Under the invariant measure, which can be written explicitly in terms of g, particles are distributed over sites and we regard all particles at a fixed site as a cluster. In the density one case, that is, equal numbers of particles and sites, we determine asymptotically the size of the largest cluster, as the number of particles tends to infinity, and determine its dependence on the rate function.
Using Three Different Categorical Data Analysis Techniques to Detect Differential Item Functioning

USING THREE DIFFERENT CATEGORICAL DATA ANALYSIS TECHNIQUES TO DETECT DIFFERENTIAL ITEM FUNCTIONING by Torie A. Stephens-Bonty Diversity in the population along with the diversity of testing usage has resulted in smaller identified groups of test takers. In addition, computer adaptive testing sometimes results in a relatively small number of items being used for a particular assessment. The need and use for statistical techniques that are able to effectively detect differential item functioning (DIF) when the population is small and or the assessment is short is necessary. Identification of empirically biased items is a crucial step in creating equitable and construct-valid assessments. Parshall and Miller (1995) compared the conventional asymptotic MantelHaenszel (MH) with the exact test (ET) for the detection of DIF with small sample sizes. Several studies have since compared the performance of MH to logistic regression (LR) under a variety of conditions. Both Swaminathan and Rogers (1990), and Hildalgo and Lopez-Pina (2004) demonstrated that MH and LR were comparable in their detection of items with DIF. This study followed by comparing the performance of the MH, the ET, and LR performance when both the sample size is small and test length is short. The purpose of this Monte Carlo simulation study was to expand on the research done by Parshall and Miller (1995) by examining power and power with effect size measures for each of the three DIF detection procedures. The following variables were manipulated in this study: focal group sample size, percent of items with DIF, and magnitude of DIF. For each condition, a small reference group size of 200 was utilized as well as a short, 10-item test. The results demonstrated that in general, LR was slightly more powerful in detecting items with DIF. In most conditions, however, power was well below the acceptable rate of 80%. As the size of the focal group and the magnitude of DIF increased, the three procedures were more likely to reach acceptable power. Also, all three procedures demonstrated the highest power for the most discriminating item. Collectively, the results from this research provide information in the area of small sample size and DIF detection. USING THREE DIFFERENT CATEGORICAL DATA ANALYSIS TECHNIQUES TO DETECT DIFFERENTIAL ITEM FUNCTIONING by Torie A. Stephens-Bonty Presented in Partial Fulfillment of Requirements for the Degree of Doctor of Philosophy in Educational Policy Studies in the Department of Educational Policy Studies in the College of Education Georgia State University Atlanta, Georgia 2008
“Not Sure Sharing Does Anything Extra for Me”: Understanding How People with Cardiovascular Disease Conceptualize Sharing Personal Health Data with Peers

As people deal with cardiovascular disease (CVD), they are to self-monitor routinely and be aware of complications and the corresponding course of action. Engaging in these self-care behaviors is conducive to gaining knowledge of health status. Even so, knowledge of the self may be insufficient in making sense of chronic conditions. In constructing a new normal after health-related life disruptions, people often turn to peers (others facing similar health issues) and share personal health information with each other. Although health information-sharing behavior is well-documented, it remains underexplored what attitudes individuals with chronic conditions, such as CVD, have toward disclosing personal health data to peers and exploring those of others with similar conditions. We surveyed 39 people who reported being diagnosed with CVD to understand how they conceptualize sharing personal health data with their peers. By analyzing qualitative survey data thematically, we found that respondents expressed themselves as uncertain about the benefits of interacting with peers in such a manner. At the same time, they recognized an opportunity to learn new ideas to enhance CVD self-care in mutual data sharing. We also report participants’ analytical orientation toward this sort of data sharing herein and elaborate on what sharing a range of personal health data could mean. In light of the existing literature, this study unpacks the notion of sharing in a different population/pathology and with more nuance, particularly by distinguishing between disclosing one’s data and exploring others’.
Assessment professional development courses for university teachers: a nationwide analysis exploring length, evaluation and content

Abstract The design and implementation of assessment is one of the main challenges for university teachers, who claimed needing more and better professional development courses in such area. Our study aimed to analyse at a nationwide level how public universities (N = 50) design and implement their assessment professional development courses and programmes. Every professional development course from Spanish public universities (N = 1627) was screened, and data from all available assessment courses (N = 82) was collected and analysed. These courses were compared in terms of total length, evaluation of the course learning results, and content knowledge covered. Regarding total length, most universities have little offer of courses, both in terms of quantity and duration. However, there are exceptions that implement longer and more intensive courses. Regarding the evaluation of the courses results, many universities do not evaluate teachers’ learning and the ones which do it tend to use passive methods such as attendance. Regarding content knowledge covered, online assessment is the most frequent topic, but important areas such as self- and peer assessment or feedback are vastly underrepresented. Our conclusion is that there is a large room for improvement in ADPC and we propose some recommendations aligned with existent literature.
Supervisors’ Interpersonal Styles: An Integrative Perspective and A Measure Based on Self‐Determination Theory

This research addresses recent calls for an alternative integrative framework to apprehend leaders' behaviors and examines the validity ofaquestionnaire anchored in this theoretical approach. Building upon Self-Determination Theory, we examined a tripartite approach of supervisors' behaviors (supportive, thwarting, and indifferent toward subordinates' psychological needs). The psychometric properties of this Tri-partite Measure of Interpersonal Behaviors-Supervisor (TMIB-S) were tested through three studies. Results from bifactor exploratory structural equation modeling supported a solution including one global factor and three specific factors reflecting need supportive, thwarting, and indifferent behaviors. This solution was fully invariant across distinct samples of French-and English-speaking employees. Results also supported the criterion-related and discriminant validity of the
Traces of exotic physics in cosmology

In recent years it has become increasingly clear that our universe is far more intricate than we might ever have imagined. While theoretical formulations of the fundamental aspects of Nature have, for many years, hinted at its vast and elusive complexity, suggesting that our known world is but a tiny facet of the greater reality in which it is embedded, it has only been within the last several decades that observations have really begun to confirm this. Indeed, while deep-field surveys of the universe have uncovered myriads of galaxies, constituting an untold number of gravitationally bound microcosms such as ours, precision cosmological measurements have revealed that all of this luminous baryonic matter is a near negligible fraction of the total energy and matter in the universe. The vast majority of our cosmos is a dark universe, comprised of some kind of invisible substances or dark fluids that only interact gravitationally with visible matter. Even among the objects that are visible to us, there are many mysterious entities which are predicted by theory and which may or may not as yet have been glimpsed in the cosmos. In the first part of this thesis we will study the interactions between two such entities, namely cosmic strings and rotating black holes. In the latter part, we will turn to the invisible sector and explore whether or not the dark phenomena in the universe could in fact be the shadows of fundamental objects moving in higher dimensions beyond our own.
Adaptive neural tracking control for a class of stochastic nonlinear systems

This paper investigates the problem of adaptive neural control design for a class of single‐input single‐output strict‐feedback stochastic nonlinear systems whose output is an known linear function. The radial basis function neural networks are used to approximate the nonlinearities, and adaptive backstepping technique is employed to construct controllers. It is shown that the proposed controller ensures that all signals of the closed‐loop system remain bounded in probability, and the tracking error converges to an arbitrarily small neighborhood around the origin in the sense of mean quartic value. The salient property of the proposed scheme is that only one adaptive parameter is needed to be tuned online. So, the computational burden is considerably alleviated. Finally, two numerical examples are used to demonstrate the effectiveness of the proposed approach. Copyright © 2012 John Wiley & Sons, Ltd.
TOPICAL REVIEW: The physics behind high-temperature superconducting cuprates: the 'plain vanilla' version of RVB

One of the first theoretical proposals for understanding high-temperature superconductivity in the cuprates was Anderson's RVB theory using a Gutzwiller projected BCS wavefunction as an approximate ground state. Recent work by Paramekanti et al has shown that this variational approach gives a semi-quantitative understanding of the doping dependences of a variety of experimental observables in the superconducting state of the cuprates. In this paper we revisit these issues using the 'renormalized mean field theory' of Zhang et al based on the Gutzwiller approximation in which the kinetic and superexchange energies are renormalized by different doping-dependent factors gt and gS respectively. We point out a number of consequences of this early mean field theory for experimental measurements which were not available when it was first explored, and observe that it is able to explain the existence of the pseudogap, properties of nodal quasiparticles and approximate spin–charge separation, the latter leading to large renormalizations of the Drude weight and superfluid density. We use the Lee–Wen theory of the phase transition as caused by thermal excitation of nodal quasiparticles, and also obtain a number of further experimental confirmations. Finally, we remark that superexchange, and not phonons, is responsible for d-wave superconductivity in the cuprates.
Detecting and Managing ASCVD in Women: A Focus on Statins.

LEARNING OBJECTIVES At the end of the activity, participants will be able to:Summarize important findings and trends involving women and atherosclerotic cardiovascular disease (ASCVD). Characterize the multiple cardiometabolic changes that occur during menopause and the associated ASCVD risk. Discuss the challenges of assessing ASCVD risk and dyslipidemia management in women. Identify women with elevated ASCVD risk and implement guideline-recommended statin therapy.
Depressive Symptoms in Fathers during the First Postpartum Year: The Influence of Severity of Preterm Birth, Parenting Stress and Partners’ Depression

Although preterm birth constitutes a risk factor for postpartum depressive symptomatology, perinatal depression (PND) has not been investigated extensively in fathers of very low (VLBW) and extremely low birth weight (ELBW) infants. This study explored paternal depression levels at 3, 9, and 12 months of infant corrected age, investigating also the predictive role played by the severity of prematurity, maternal and paternal PND levels, and parenting stress. We recruited 153 fathers of 33 ELBW, 42 VLBW, and 78 full-term (FT) infants, respectively. Depression was investigated by the Edinburgh Postnatal Depression Scale (EPDS) and distress by the Parenting Stress Index-Short Form-PSI-SF (Total and subscales: Parental Distress, Parent–Child Dysfunctional Interaction, and Difficult Child). ELBW fathers showed a significant decrease (improvement) in EPDS, total PSI-SF, and Parental Distress mean scores after 3 months. Paternal EPDS scores at 12 months were significantly predicted by VLBW and FT infants’ birth weight categories, fathers’ EPDS scores at 3 and 9 months, Parent–Child Dysfunctional Interaction subscale at 3 months, and Difficult Child subscale at 9 months. This study strengthens the relevance of including early routine screening and parenting support for fathers in perinatal health services, with particular attention to fathers who might be more vulnerable to mental health difficulties due to severely preterm birth.
Relationship between Psychological Stress Determined by Voice Analysis and Periodontal Status: A Cohort Study

In modern society, evaluation and management of psychological stress may be important for the prevention of periodontal disease. The purpose of this study was to examine the relationship between psychological stress (vitality and mental activity) evaluated by Mind Monitoring System (MIMOSYS) and periodontal status. Forty students of Okayama University underwent the oral examination and self-reported questionnaire on the first day (baseline) and the 14th day (follow-up). Voice recording was performed every day with the MIMOSYS app during the whole study period. The participants completed the Patient Health Questionnaire (PHQ)-9 and Beck Depression Inventory (BDI) at baseline and at follow-up. Spearman’s rank correlation coefficient was used to determine the significance of correlations among variables. The PHQ-9 and BDI scores were negatively correlated with vitality in the morning. Change in vitality in the morning was significantly correlated with changes in periodontal inflammation. Mental activity was significantly correlated with change in mean probing pocket depth. This result shows that measurement of psychological stress using a voice-based tool to assess mental health may contribute to the early detection of periodontal disease.
Why do the Global Warming Responses of Land‐Surface Models and Climatic Dryness Metrics Disagree?

Earth System Models’ complex land components simulate a patchwork of increases and decreases in surface water availability when driven by projected future climate changes. Yet, commonly‐used simple theories for surface water availability, such as the Aridity Index (P/E0) and Palmer Drought Severity Index (PDSI), obtain severe, globally dominant drying when driven by those same climate changes, leading to disagreement among published studies. In this work, we use a common modeling framework to show that Earth System Model (ESM) simulated runoff‐ratio and soil‐moisture responses become much more consistent with the P/E0 and PDSI responses when several previously known factors that the latter do not account for are cut out of the simulations. This reconciles the disagreement and makes the full ESM responses more understandable. For ESM runoff ratio, the most important factor causing the more positive global response compared to P/E0 is the concentration of precipitation in time with greenhouse warming. For ESM soil moisture, the most important factor causing the more positive global response compared to PDSI is the effect of increasing carbon dioxide on plant physiology, which also drives most of the spatial variation in the runoff ratio enhancement. The effect of increasing vapor‐pressure deficit on plant physiology is a key secondary factor for both. Future work will assess the utility of both the ESMs and the simple indices for understanding observed, historical trends.
A GHz Operating CMOS Compatible ScAlN Based SAW Resonator Used for Surface Acoustic Waves/Spin Waves Coupling

ScAlN/Si, a CMOS compatible material, was used to manufacture GHz operating surface acoustic wave devices, targeting manipulation and control of spin waves via SAW devices. A thin ScAlN piezoelectric layer was deposited on high resistivity (111) oriented Silicon and two port SAW devices were processed using advanced nanolithographic techniques. The Surface Acoustic Wave and Spin Wave coupling was performed via a thin magnetostrictive layer (Ni) placed between the SAWs interdigitated transducers. Both Rayleigh (4.67 GHz) and Sezawa (8.05 GHz) propagation modes could be observed. The amplitude of the S<sub>21</sub> parameter around the two resonances was measured for values of the magnetic field <inline-formula> <tex-math notation="LaTeX">$\mu _{0}\text{H}$ </tex-math></inline-formula> from −280 to +280 mT, at different angles (<inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula>) between the SAW propagation direction and the magnetic field direction. A maximum decrease of 2.54 dB occurred in S<sub>21</sub> for the Rayleigh mode at <inline-formula> <tex-math notation="LaTeX">$\mu _{\textbf {0}}\text{H}$ </tex-math></inline-formula> = −90 mT, and of 7.24 dB for the Sezawa mode at <inline-formula> <tex-math notation="LaTeX">$\mu _{0}\text{H}$ </tex-math></inline-formula> = −203 mT, both at <inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula> = 45°. These values were extracted from time gated processing of the frequency domain raw data. Nonreciprocity associated to the coupling was analyzed for the two propagation modes.
Potential Progression Mechanism and Key Genes in Early Stage of mTBI

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease caused by repetitive mild traumatic brain injury (rmTBI), and the lack of sensitive diagnostic and prognostic biomarkers for rmTBI leads to long-term sequelae after injury. The purpose of this study is to identify key genes of rmTBI and find the potential progression mechanism in early stage of mTBI. We downloaded the gene expression profiles of GSE2871 from Gene Expression Omnibus (GEO) datasets. Differentially expressed genes (DEGs) were screened from the cerebral cortex of rats 24 hours after smTBI, and these DEGs were then subjected to GO enrichment analysis, KEGG pathway analysis, PPI analysis, and hub analysis. Key genes were identified as the most significantly expressed genes and had a higher degree of connectivity from hub genes. By using homemade metal pendulum impact equipment and a multiple regression discriminant equation to assess the severity of rats after injury, smTBI and rmTBI rat models were established in batches, and q-PCR analyses were performed to verify the key genes. The main KEGG pathways were cytokine-cytokine receptor interaction and neuroactive ligand-receptor interaction. SPP1 and C3 were the most significant DEGs, and their connectivity degree was the highest 24 hours after smTBI (logFC > 4; connectivity degree ＞15). The q-PCR analyses were performed 24 hours and 14 days after mTBI. The results showed that SPP1 and C3 were significantly upregulated in smTBI and in rmTBI at 24 hours after injury compared with their levels in sham-injured rats, and the phenomenon persisted 14 days after injury. Notably, 14 days after injury, both of these genes were significantly upregulated in the rmTBI group compared with the smTBI. These pathways and genes identified could help understanding the development in mTBI.