Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Leadership in Irish Post-Primary Schools: Policy versus Practitioner Interpretations

School leaders have faced significant challenges since the beginning of the COVID-19 pandemic. Distributed leadership has become the default leadership response implemented by schools to manage increased pressure. While Irish schools have traditionally operated behind a ‘closed-door’, there has recently been a movement towards a shared model of leadership, and Irish school leadership policy currently endorses the adoption of a distributed leadership model. Increased interest and policy endorsement notwithstanding, distributed leadership remains an elusive concept. The aim of this study was to explore Irish post-primary school personnel’s interpretations of distributed leadership and analyse these interpretations through a teacher empowerment lens with respect to Irish school leadership policy. This study reports the results of a thematic analysis of 363 survey responses provided by post-primary school personnel. Short’s six dimensions of teacher empowerment were utilised to inform a framework for thematically analysing the participants’ interpretations. An initial framework for enacting distributed leadership through an empowerment lens was outlined. Interpretations were found to diverge regarding (i) what is shared, (ii) who it is shared with, and (iii) how it is shared. This paper adds to the corpus of knowledge concerning how distributed leadership is understood in practice and will aid in informing future school leadership policy documents.
Nonlinear fluid simulation of particle and heat fluxes during burst of ELMs on DIII-D with BOUT++  code

In order to study the distribution and evolution of the transient particle and heat fluxes during edge-localized mode (ELM) bursts, a BOUT++ six-field two-fluid model based on the Braginskii equations with non-ideal physics effects is used to simulate pedestal collapse in divertor geometry. The profiles from the DIII-D H-mode discharge #144382 with fast target heat flux measurements are used as the initial conditions for the simulations. A flux-limited parallel thermal conduction is used with three values of the flux-limiting coefficient αj ? >, free streaming model with αj=1 ? >, sheath-limit with αj=0.05 ? >, and one value in between. The studies show that a 20 times increase in αj ? > leads to ∼6 times increase in the heat flux amplitude to both the inner and outer targets, and the widths of the fluxes are also expanded. The sheath-limit model of flux-limiting coefficient is found to be the most appropriate one, which shows ELM sizes close to the measurements. The evolution of the density profile during the burst of ELMs of DIII-D discharge #144382 is simulated, and the collapse in width and depth of ne ? > are reproduced at different time steps. The growing process of the profiles for the heat flux at divertor targets during the burst of ELMs measured by IRTV (infrared television) is also reproduced by this model. The widths of heat fluxes towards targets are a little narrower, and the peak amplitudes are twice the measurements possibly due to the lack of a model of divertor radiation which can effectively reduce the heat fluxes. The magnetic flutter combined with parallel thermal conduction is found to be able to increase the total heat loss by around 33% since the magnetic flutter terms provide the additional conductive heat transport in the radial direction. The heat flux profile at both the inner and outer targets is obviously broadened by magnetic flutter. The lobe structures near the X-point at LFS are both broadened and elongated due to the magnetic flutter.
A Path towards a Greener Future: Fostering green supply chain, green marketing and environmental sustainability

Background: This study contributes to the green supply chain while examining the role of institutional pressure and green marketing to achieve environmental sustainability. Methods: Data from 256 manufacturing firms in Pakistan was analyzed through a quantitative dyadic data analysis using Structural Equation Modeling by incorporating quota sampling. Results: The finding revealed that institutional pressures are significantly associated with the green supply chain. The results indicated that green marketing acts as a significant moderator between the green supply chain and customer green purchase intention. Finally, green supply chain practices are significantly associated with environmental sustainability. Conclusions: This is a novel study that contributed to a green supply chain that integrates all dimensions of the green supply chain in one hybrid model. This study has contributed solid theoretical insights by integrating the theory of planned behavior and institutional theory .
A hybrid formulation for the probe-to-patch attachment-mode current for rectangular microstrip antennas

In this paper, we present a hybrid representation for the attachment-mode current existing on the suirface of a coaxially fed rectangular microstrip patch antenna. The hybrid representation consists of a one- or two-term residue anid an eigenfunction series which gives the attachment-mode curirent at all points on the patch surface, including the probe-to-patch junction. It is numerically demonstrated that the residue and eigenfunction series blend smoothly in the close vicinity of the Stokes region which includes the probe-to-patch junction. The Stokles region is a very narrow region over which the attachment-mode current changes rapidly. The residue and eigenfunction series are used outside and within this Stokes region, respectively. This hybrid representation can be used in either spectral- or space-domain techniques for a full-wave solution to the microstrip antenna problem. The residue series is obtained by using an equivalent contour integral representation of the infinite eigenfunction series, which subsequently reduces to the Watson transform under the assumption of a slightly lossy substrate. At or near the Stokes regions the residue series is inadequate, as it cannot model the rapidly varying junction currents there. Examination of the residue series shows that the attachment mode is a superposition of exponentially attenuated, leaky, surface-traveling modes. This hybrid representation is expected to provide the optimum trade-off between speed and accuracy for computationis involving electrically large finite arrays.
Measurements of capture cross-section of 93Nb by activation method and half-life of 94Nb by mass analysis

ABSTRACT The thermal-neutron capture cross section (σ 0 ) and resonance integral (I 0 ) for93Nb were measured by an activation method; a half-life of 94Nb was derived by mass analysis. Niobium-93 samples were irradiated with the use of the hydraulic conveyer installed in the research reactor in Institute for Integral Radiation and Nuclear Science, Kyoto University. Gold-aluminum and cobalt-aluminum alloy wires were used to monitor thermal-neutron fluxes and Westcott’s indexes at the irradiation position. A 25-μm-thick gadolinium foil was used to separate reactions ascribed to thermal neutrons. Its thickness provided a cut-off energy of 0.133 eV. In order to attenuate the radioactivity of 182Ta produced by impurities, the Nb samples were cooled for nearly 2 years. The induced radio activity in the monitors and Nb samples was measured by gamma-ray spectroscopy. In the analysis based on Westcott’s convention, the σ 0 and I 0 values were calculated as 1.11 ± 0.04 barns and 10.5 ± 0.6 barns, respectively. After the γ-ray measurements, mass analysis was applied to the Nb samples to obtain the reaction rate. By combining data obtained by both γ-ray spectroscopy and mass analysis, a half-life of 94Nb was determined as (2.00 ± 0.15) ×104 years. GRAPHICAL ABSTRACT
An assortment of results in combinatorics and compressed sensing

We prove a variety of results spanning combinatorics, compressed sensing, and theoretical computer science. Our methods throughout are primarily combinatorial, but we also use algebraic techniques and occasionally estimates from analysis. We begin by proving lower and upper bounds for tensor rank, a purely algebraic quantity of importance to complexity theory. As the highlight, we improve the best known lower bounds for explicit tensors. We continue by proving some complexity-theoretic results of interest to compressed sensing. Specifically, given standard complexity-theoretic assumptions, we show that any natural extension of the Mumford-Shah functional is infeasible to compute, as is the problem of testing a frame for possessing full spark. Along the way, we both construct some explicit full spark frames and show that full spark frames are dense in the set of Parseval frames. We follow the theme of merging complexity and compressed sensing further by using insights from the theory of expander graphs to give an efficient procedure to reconstruct a signal from intensity measurements, a problem known as phase retrieval. Our procedure improves upon the efficiency of all previously-known methods. In the penultimate chapter, we complete the characterization of the basic classes in the proof of the strong perfect graph theorem. Finally, we resolve a 75-year old conjecture in combinatorial number theory due to Richard Rado.
Metabolomic Study of Aging in fa/fa Rats: Multiplatform Urine and Serum Analysis

Zucker fatty (fa/fa) rats represent a well-established and widely used model of genetic obesity. Because previous metabolomic studies have only been published for young fa/fa rats up to 20 weeks of age, which can be considered early maturity in male fa/fa rats, the aim of our work was to extend the metabolomic characterization to significantly older animals. Therefore, the urinary profiles of obese fa/fa rats and their lean controls were monitored using untargeted NMR metabolomics between 12 and 40 weeks of age. At the end of the experiment, the rats were also characterized by NMR and LC-MS serum analysis, which was supplemented by a targeted LC-MS analysis of serum bile acids and neurotransmitters. The urine analysis showed that most of the characteristic differences detected in young obese fa/fa rats persisted throughout the experiment, primarily through a decrease in microbial co-metabolite levels, the upregulation of the citrate cycle, and changes in nicotinamide metabolism compared with the age-related controls. The serum of 40-week-old obese rats showed a reduction in several bile acid conjugates and an increase in serotonin. Our study demonstrated that the fa/fa model of genetic obesity is stable up to 40 weeks of age and is therefore suitable for long-term experiments.
Capacity for gender equity initiatives: a multiple case study investigation of national sport organisations

Abstract To better understand mechanisms for gender equity in sport, the critical elements of capacity of Canadian national sport organisations (NSOs) to implement gender equity initiatives, and the relative strengths and challenges of those elements, were investigated. Environmental factors perceived to influence that capacity were also explored. The study was framed by Hall et al.’s (2003) multidimensional model of organisational capacity. Instrumental case studies were used to examine and compare the capacity of three NSOs engaged in addressing gender equity in their sport through their respective initiatives designed to increase the engagement of women in sport as athletes, coaches, and officials. Semi-structured interviews (n = 15) were conducted with board members and staff across the three NSOs. Several common capacity strengths (e.g., knowledgeable and experienced staff, dedicated funding) and challenges (e.g., limited staff, constraints in external communication) were identified. Capacity elements unique to each NSO were also uncovered. Environmental factors influencing the NSOs’ capacity to implement their respective gender equity initiatives included the broad political climate, access to volunteers, and availability of additional funding sources . The findings address the call for further evidence of critical organisational practices for enacting gender equity, with a particular focus on NSOs, and framed by a multidimensional model of organisational capacity and environmental influences. The findings have implications for being aware of the capacity of NSOs to address government policy and directives for gender equity in sport, and for maintaining and building capacity to implement gender equity initiatives.
Glutathione Contribution in Interactions between Turnip mosaic virus and Arabidopsis thaliana Mutants Lacking Respiratory Burst Oxidase Homologs D and F

Respiratory burst oxidase homologs (Rbohs) play crucial and diverse roles in plant tissue-mediated production of reactive oxygen species during the development, growth, and response of plants to abiotic and biotic stress. Many studies have demonstrated the contribution of RbohD and RbohF in stress signaling in pathogen response differentially modulating the immune response, but the potential role of the Rbohs-mediated response in plant–virus interactions remains unknown. The present study analyzed, for the first time, the metabolism of glutathione in rbohD-, rbohF-, and rbohD/F-transposon-knockout mutants in response to Turnip mosaic virus (TuMV) infection. rbohD–TuMV and Col-0–TuMV interactions were characterized by susceptible reaction to TuMV, associated with significant activity of GPXLs (glutathione peroxidase-like enzymes) and induction of lipid peroxidation in comparison to mock-inoculated plants, with reduced total cellular and apoplastic glutathione content observed at 7–14 dpi and dynamic induction of apoplast GSSG (oxidized glutathione) at 1–14 dpi. Systemic virus infection resulted in the induction of AtGSTU1 and AtGSTU24, which was highly correlated with significant downregulation of GSTs (glutathione transferases) and cellular and apoplastic GGT (γ-glutamyl transferase) with GR (glutathione reductase) activities. On the contrary, resistant rbohF–TuMV reactions, and especially enhanced rbohD/F–TuMV reactions, were characterized by a highly dynamic increase in total cellular and apoplastic glutathione content, with induction of relative expression of AtGGT1, AtGSTU13, and AtGSTU19 genes. Moreover, virus limitation was highly correlated with the upregulation of GSTs, as well as cellular and apoplastic GGT with GR activities. These findings clearly indicate that glutathione can act as a key signaling factor in not only susceptible rbohD reaction but also the resistance reaction presented by rbohF and rbohD/F mutants during TuMV interaction. Furthermore, by actively reducing the pool of glutathione in the apoplast, GGT and GR enzymes acted as a cell first line in the Arabidopsis–TuMV pathosystem response, protecting the cell from oxidative stress in resistant interactions. These dynamically changed signal transductions involved symplast and apoplast in mediated response to TuMV.
Oral and Vaginal Hormonal Contraceptives Induce Similar Unfavorable Metabolic Effects in Women with PCOS: A Randomized Controlled Trial

This clinical trial aims to compare hormonal and metabolic changes after a 9-week continuous use of oral or vaginal combined hormonal contraceptives (CHCs) in women with polycystic ovary syndrome (PCOS). We recruited 24 women with PCOS and randomized them to use either combined oral (COC, n = 13) or vaginal (CVC, n = 11) contraception. At baseline and 9 weeks, blood samples were collected and a 2 h glucose tolerance test (OGTT) was performed to evaluate hormonal and metabolic outcomes. After treatment, serum sex hormone binding globulin (SHBG) levels increased (p < 0.001 for both groups) and the free androgen index (FAI) decreased in both study groups (COC p < 0.001; CVC p = 0.007). OGTT glucose levels at 60 min (p = 0.011) and AUCglucose (p = 0.018) increased in the CVC group. Fasting insulin levels (p = 0.037) increased in the COC group, and insulin levels at 120 min increased in both groups (COC p = 0.004; CVC p = 0.042). There was a significant increase in triglyceride (p < 0.001) and hs-CRP (p = 0.032) levels in the CVC group. Both oral and vaginal CHCs decreased androgenicity and tended to promote insulin resistance in PCOS women. Larger and longer studies are needed to compare the metabolic effects of different administration routes of CHCs on women with PCOS.
Probe microscopy is all you need

We pose that microscopy offers an ideal real-world experimental environment for the development and deployment of active Bayesian and reinforcement learning methods. Indeed, the tremendous progress achieved by machine learning (ML) and artificial intelligence over the last decade has been largely achieved via the utilization of static data sets, from the paradigmatic MNIST to the bespoke corpora of text and image data used to train large models such as GPT3, DALL·E and others. However, it is now recognized that continuous, minute improvements to state-of-the-art do not necessarily translate to advances in real-world applications. We argue that a promising pathway for the development of ML methods is via the route of domain-specific deployable algorithms in areas such as electron and scanning probe microscopy and chemical imaging. This will benefit both fundamental physical studies and serve as a test bed for more complex autonomous systems such as robotics and manufacturing. Favorable environment characteristics of scanning and electron microscopy include low risk, extensive availability of domain-specific priors and rewards, relatively small effects of exogenous variables, and often the presence of both upstream first principles as well as downstream learnable physical models for both statics and dynamics. Recent developments in programmable interfaces, edge computing, and access to application programming interfaces (APIs) facilitating microscope control, all render the deployment of ML codes on operational microscopes straightforward. We discuss these considerations and hope that these arguments will lead to create novel set of development targets for the ML community by accelerating both real world ML applications and scientific progress.
The effect of barotropic shear on upper-level induced cyclogenesis : Semigeostrophic and primitive equation numerical simulations

Abstract Idealized numerical experiments within the frameworks of semigeostrophic and primitive equation dynamics were performed to study the effect of barotropic shear on idealized upper-level induced cyclogenesis. Localized finite-amplitude potential temperature anomalies were used as initial perturbations, and the atmosphere was considered as a dry frictionless fluid of uniform quasigeostrophic potential vorticity on an f-plane. It is demonstrated that the main features of the numerical simulations are in essence unaffected by the choice of the dynamical framework. They comprise, for instance, the development of elongated cold fronts under anticyclonically sheared conditions, a “T-bone” shaped frontal palette in the unsheared case (cf. Shapiro and Keyser), and a Bergen-type occlusion process in the simulations with cyclonic shear. This confirms the profound dynamical influence of lateral shear in the background environment upon the resulting surface cyclone and frontal structures (and the accompanying .
Infant Exposure to Antituberculosis Drugs via Breast Milk and Assessment of Potential Adverse Effects in Breastfed Infants: Critical Review of Data

Infants of mothers treated for tuberculosis might be exposed to drugs via breast milk. The existing information on the exposure of breastfed infants lacks a critical review of the published data. We aimed to evaluate the quality of the existing data on antituberculosis (anti-TB) drug concentrations in the plasma and milk as a methodologically sound basis for the potential risk of breastfeeding under therapy. We performed a systematic search in PubMed for bedaquiline, clofazimine, cycloserine/terizidone, levofloxacin, linezolid, pretomanid/pa824, pyrazinamide, streptomycin, ethambutol, rifampicin and isoniazid, supplemented with update references found in LactMed®. We calculated the external infant exposure (EID) for each drug and compared it with the recommended WHO dose for infants (relative external infant dose) and assessed their potential to elicit adverse effects in the breastfed infant. Breast milk concentration data were mainly not satisfactory to properly estimate the EID. Most of the studies suffer from limitations in the sample collection, quantity, timing and study design. Infant plasma concentrations are extremely scarce and very little data exist documenting the clinical outcome in exposed infants. Concerns for potential adverse effects in breastfed infants could be ruled out for bedaquiline, cycloserine/terizidone, linezolid and pyrazinamide. Adequate studies should be performed covering the scenario in treated mothers, breast milk and infants.
Slowly evolving horizons in perturbative general relativity

A motivation is made for a quasi-equilibrium set of black hole thermodynamic laws on the merit that they, being analogous to thermodynamics, are more physical than current formulations. Black hole formalisms are reviewed and it is determined that the trapping horizon is sufficient to formulate a slowly evolving horizon regime. A summary of this formalism and the accompanying thermodynamic laws are stated. To be slowly evolving, a horizon must meet certain general conditions and those conditions from [1] are stated. A particular spacetime, to be considered slowly evolving, must satisfy these conditions and they must translate to physically meaningful restrictions. Three spacetimes are checked to see that they are slowly evolving horizons. For all three spacetimes, the conditions are met and the zeroth and first laws are then confirmed to hold.
Simultaneous Shape and Tip Force Sensing for the COAST Guidewire Robot

Placement of catheters in minimally invasive cardiovascular procedures is preceded by navigating to the target lesion with a guidewire. Traversing through tortuous vascular pathways can be challenging without precise tip control, potentially resulting in the damage or perforation of blood vessels. To improve guidewire navigation, this letter presents 3D shape reconstruction and tip force sensing for the COaxially Aligned STeerable (COAST) guidewire robot using a triplet of adhered single core fiber Bragg grating sensors routed centrally through the robot's slender structure. Additionally, several shape reconstruction algorithms are compared, and shape measurements are utilized to enable tip force sensing. Demonstration of the capabilities of the robot is shown in free air where the shape of the robot is reconstructed with average errors less than 2 mm at the guidewire tip, and the magnitudes of forces applied to the tip are estimated with an RMSE of 0.027 N or less.
Unlocking the black box of HPWPs-performance relationship in Vietnamese higher education context: the case of Ho Chi Minh City’s universities

ABSTRACT Resting on social exchange theory and the Ability-Motivation-Opportunity framework, this research examined the causal relationships between high-performance work practices, climate for engagement, job engagement, and job performance in the context of Vietnamese higher education. A multiphase, multisource data collection method was applied to 394 pairs of full-time academic staff and their line managers or supervisors working for 14 public and private universities in Ho Chi Minh City, Vietnam. Using SEM and MSEM to analyze the data, the research pinpointed that of the three dimensions of high-performance work practices, ability-enhancing and opportunity-enhancing practices had significant and positive influences on Vietnamese university academic staff’s job engagement. Climate for engagement was a crucial mediator in the influences of ability-enhancing and motivation-enhancing practices on Vietnamese university academic staff’s job engagement. As their job engagement increased, it led to an improvement in their job performance. These significant findings explain how high-performance work practices promote Vietnamese university academic staff’s job performance.