Miracle-dz/UniFAR-FTUs huggingface dataset:
Further calibration of the Swift ultraviolet/optical telescope

The Ultraviolet/Optical Telescope (UVOT) is one of three instruments onboard the Swift observatory. The photometric calibration has been published, and this paper follows up with details on other aspects of the calibration including a measurement of the point spread function with an assessment of the orbital variation and the effect on photometry. A correction for large-scale variations in sensitivity over the field of view is described, as well as a model of the coincidence loss which is used to assess the coincidence correction in extended regions. We have provided a correction for the detector distortion and measured the resulting internal astrometric accuracy of the UVOT, also giving the absolute accuracy with respect to the International Celestial Reference System. We have compiled statistics on the background count rates, and discuss the sources of the background, including instrumental scattered light. In each case, we describe any impact on UVOT measurements, whether any correction is applied in the standard pipeline data processing or whether further steps are recommended.
Experience with Travel Mobile Apps and Travel Intentions—The Case of University Students in China

The popularization of smart phones has fostered the use of e-hailing apps, which can effectively reduce information asymmetry and provide ease and convenience during travel. Meanwhile, problems such as product homogeneity, slow operation speed, and interface confusion in travel apps also exist, leading to negative user experience. Building on the theory of planned behavior and technology acceptance model, this study examines multiple features of travel apps and their influence on university students’ experience and travel intentions. Findings of the study suggest that, compared to the contents of travel apps, the ease of use seems to have a stronger influence on students’ attitude, perceived behavioral control, and travel intention. The study contributes to the integration of the technology acceptance model and the theory of planned behavior in travel contexts. The findings also offer meaningful practical implications and recommendations on product and service design to relevant stakeholders willing to offer a better travel app user experience.
Non-CPAP therapy for obstructive sleep apnoea

Treatment of obstructive sleep apnoea in adults is evolving, from a “one treatment fits all” to a more individualised approach. The spectrum of treatment options is broad and heterogeneous, including conservative, technological and pharmaceutical modalities. This raises the questions of which patients these modalities might be useful for, and if there are specific criteria for single or combined treatment. The most commonly used non-CPAP treatment is a mandibular advancement device. Furthermore, it appears from the available evidence that upper airway surgery, bariatric surgery, and maxillomandibular advancement can be effective in particular patient groups and should be indicated more readily in clinical practice. Technically, a tracheotomy is the most effective surgical treatment, but is not socially acceptable and is associated with major side-effects. Other treatment options are emerging, like positional therapy, hypoglossal nerve stimulation, and myofunctional exercises. Drug therapy is also promising when pathophysiological traits are considered. The range of currently available treatment options will be discussed in this review, with emphasis on the selection of appropriate patients, therapeutic efficacy and compliance, and reference to recent guidelines. In the selection process, routine application of drug-induced sleep endoscopy to assess the site(s) of collapse during sleep can increase the success rate of both surgical interventions and oral appliance therapy. Educational aims To outline recommendations concerning the proper management of obstructive sleep apnoea (OSA) patients that cannot be treated adequately with continuous positive airway pressure (CPAP) due to intolerance, poor adherence or compliance, or CPAP refusal. To provide information about the selection of appropriate patients for alternative non-CPAP treatment options. To better understand the different aspects of OSA treatment with noninvasive approaches, such as oral appliances, positional therapy, drug treatment and myofunctional therapy, including indications, contraindications, and expected short- and long-term results. To discuss the different surgical options for the treatment of OSA and to provide information on the important issue of proper patient selection for surgery, as most OSA surgical outcomes are associated with the pre-operative assessment of the level(s) of upper airway collapse. Treatment of obstructive sleep apnoea in adults is evolving, from a “one treatment fits all” to a more individualised approach. Proper patient selection and use of specific criteria are crucial for a beneficial outcome. https://bit.ly/3Avydju
Impact of a Very Low-Calorie Ketogenic Diet (VLCKD) on Changes in Handgrip Strength in Women with Obesity

The preservation of muscle mass, which is positively associated with muscle strength, has been included among the benefits of ketogenic diets due to the synergistic effects exerted by the reduction in visceral adipose tissue and obesity-related pro-inflammatory status. The handgrip strength (HGS) test is widely used as a single indicator to represent overall muscle strength. The possible association of changes in HGS in patients with obesity during the consumption of a very low-calorie ketogenic diet (VLCKD) has not yet been investigated. The aim of this prospective study was to assess the efficacy of VLCKD on promoting changes in HGS and high-sensitivity C-reactive protein (hs-CRP) levels, as a serological marker of obesity-related, low-grade inflammation, in a population of women with obesity after 45 days of active phase of the VLCKD. This pilot, uncontrolled, single-center, open-label clinical trial examined 247 Caucasian women, aged 18–51 years (body mass index, BMI: 30.0–50.9 kg/m2) who were consecutively enrolled following 45 days of active phase the VLCKD. Anthropometric measures and physical activity were evaluated. Muscle strength was measured by HGS using a grip strength dynamometer. Body composition was evaluated using a bioelectrical impedance analysis (BIA) phase-sensitive system. hs-CRP levels were determined by nephelometric assay. Adherence to the VLCKD, ketosis status, and physical activity were checked weekly by phone call. At day 45, BMI, fat mass (FM), and hs-CRP levels were significantly decreased (∆-7.5 ± 3.1%, ∆-15.6 ± 9.0%, and ∆-39.9 ± 44.6%; respectively; p < 0.001 for all three parameters), while HGS had increased (∆+17.4 ± 13.2%; p < 0.001). After adjusting for ∆BMI, ∆waist circumference, ∆hs-CRP levels, and physical activity, the correlation among changes in ∆HGS (kg), ∆FM (kg), and ∆ fat free mass (FFM) (kg) remained statistically significant (r = −0.331, and r = 0.362, respectively; p < 0.001). Interestingly, the correlation between ∆HGS with ∆FM (r = −0.288, p < 0.001) and ∆FFM (r = 0.395, p < 0.001) were also independent of the percentage of weight loss. We are the first to report that, along with a significant reduction in body weight and an overall improvement in body composition and inflammatory status, the muscle strength evaluated by the HGS test increased in a population of women with obesity after 45 days of the active phase of the VLCKD, also following adjustment for common confounding variables.
Nonalcoholic Steatohepatitis: A 9-Year Follow Up Cohort Study

Background and aim: Non-alcoholic fatty liver disease (NAFLD) may progress to severe liver fibrosis and cirrhosis. A limited number of studies with a long follow up assessed fibrosis progression and related predictors in untreated patients with a histological diagnosis of NAFLD. This study aims to investigate rate and predictors of NAFLD progression. Methods: For 9 (2–16.7) years, we followed up a cohort of patients histologically diagnosed. Disease progression was defined by a composite endpoint as evidence of cirrhosis in patients without cirrhosis at baseline, evidence of de novo occurrence of cirrhosis complications, histologically established worsening of stage 1 of fibrosis or increase of 20% in liver stiffness by transient elastography in patients rejecting a second liver biopsy. Results: A total of 91 patients were enrolled. Of them, 31 had NAFL and 60 NASH. A second liver biopsy was performed in 22 NASH patients and in 4 NAFL. Disease progression was observed in 38.5% NASH and in 12.0% NAFL (p = 0.034). Patients with portal inflammation had a higher risk of progression (66.7% vs 26%, p = 0.021). High triglycerides levels, advanced fibrosis at baseline and the duration of follow-up predict disease progression (p = 0.021; OR = 6.93, 95% CI 1.33–36.08, p = 0.43; OR 8.37; 95% CI 1.07–65.58 and p = 0.034; OR = 0.88; 95% CI 0.78–0.99, respectively). Conclusions: Our results reinforce the evidence that, in the absence of pharmacologic treatment, NASH progresses in about 40% of patients. Liver biopsy is the only mean to discriminate NAFL from NASH. The prognostic role of portal inflammation needs to be explored in larger series.
Predicting Online Student Effort with Accelerometer, Heart Rate Sensors, and Camera Using Random Forest Regression Model

: In online education through web conference tools, teachers cannot grasp students' states by watching their behaviors like in an offline classroom. Each student also cannot be affected by others' good behavior. This paper proposes a prediction method of the student effort through acceleration sensors and a heart rate sensor worn on a student's body, and a local camera. The effort is expressed by the levels of concentration, excitation, and bodily action. A Random Forest regression model is used to predict each level from the sensor and camera data. Exhibiting the prediction result brings visibility of student states like offline. We verified the effectiveness of the prediction model through an experiment. We built the Random Forest regression prediction models from the sensors, camera, and student effort data obtained by actual lectures. In the case of building one prediction model for one lecture/one subject, the average R 2 values were 0.953, 0.925, and 0.930 in the concentration, excitation, and bodily action, respectively. The R 2 was -0.835 when one prediction model trained by one lecture's data is applied for another lecture's prediction. That was 0.285 when one model by 4 subjects' data is applied for prediction for the rest 1 subject. It means that the prediction model has high accuracy but is dependent on individual persons and lectures, which forces a burden to individual student to collect initial training data for individual lecture to build a prediction model. We also found that the acceleration data are the most important features. It implies the effectiveness of using acceleration sensors to predict student effort.
Unpacking selective decoupling in global supply chains: a stakeholder salience perspective on social issues in Vietnam’s garment factories

ABSTRACT Decoupling – a managerial strategy to buffer a company’s social sustainability policy from its daily business practices in order to minimise the impact on operations – has long been studied in sustainable supply chain management (SSCM). While the SSCM literature offers many examples of buyers’ decoupling, few publications focus on decoupling by suppliers, who are under pressure from buyers to adopt formal structures, i.e. social sustainability policies. There are even fewer studies exploring workers’ claims related to social issues in this regard. Our study, drawing on the concept of policy-practice decoupling, investigates how suppliers navigate the different expectations of buyers and factory-level workers to find ‘decouple-able’ policies when practising social sustainability. We apply the stakeholder salience theoretical lens to analyse 44 interviews from fieldwork in Vietnam to uncover who and what really counts for local supplier managers in selective decoupling. Along with enriching our understanding of decoupling done by local suppliers, our study uncovers the influence of workers on their managers in shaping and reshaping decoupling.
Instrumentos para identificação de alunos com altas habilidades/superdotação no contexto escolar

Os indivíduos com Altas Habilidades/Superdotação, de acordo com a Política Nacional de Educação Especial, demonstram um alto grau de potencialidade em alguns aspectos, isolados ou combinados, relacionados à capacidade intelectual, acadêmica, criativa, social, psicomotora e/ou talento especial. Tendo isso em vista, o presente artigo buscou investigar: quais instrumentos podem ser utilizados para identificar alunos com Altas Habilidades/Superdotação no contexto escolar? Dessa forma, teve-se como objetivo investigar os tipos de instrumentos avaliativos utilizados no contexto escolar para identificar os alunos com Altas Habilidades/Superdotação. Portanto, visando um aprofundamento do tema, realizou-se uma revisão de literatura sobre o mesmo e, com base nas análises dos artigos selecionados, foi possível observar que as intervenções se mostraram eficazes na identificação de alto grau de potencialidades em alunos, porém, para uma avaliação mais precisa, é necessário considerar mais de um componente, seja por meio da observação direta do comportamento, da avaliação do desempenho, das escalas de características, dos questionários ou das entrevistas ou conversas com o aluno ou com a família, pois sabe-se que nenhum teste avalia de forma efetiva todos os aspectos da inteligência.
Relationships among Perceived Internal Corporate Social Responsibility, Organizational Trust and Perceived External Prestige

This paper aims to evaluate the relationship among internal corporate social responsibility perception, perceived external organizational prestige and organizational trust. There were 149 respondents from 4 commercial banks of Nepal. The data were collected in 2020 AD, through self-administered questionnaire for each variable. The findings show that internal CSR and trust has positive and significant relationship. However, Internal CSR and perceived external prestige of organization as well as trust and prestige have insignificant relationship.
Joint Routing and Wireless Charging Scheduling for Electric Vehicles With Shuttle Services

As the electric vehicles (EVs) become prevalent, the demand for smart charging rises. The disordered charging problem of EVs, the high cost, and the location problem of charging stations bring a great challenge to the power grids and transport networks. The Internet of Things (IoT) technology enables the IoT-based EV (IoEV) to plan the route and process the information with smart wireless charging. However, how to schedule the optimal routing and wireless charging is challenging. In this article, we consider a joint routing and wireless charging scheduling problem with a microwave power transfer system to minimize the travel distance, the charging cost, and battery degradation cost when IoEVs provide shuttle services. To solve this mixed linear programming problem for the joint routing and charging schedule of IoEVs with the integer routing variables and continuous charging variables, we propose a routing and charging customized benders decomposition (RCBD) algorithm. To increase the time efficiency of the RCBD algorithm, we propose an improved RCBD (IRCBD) algorithm with the trajectory similarity measurement method. Extensive simulation results show the effectiveness and correctness of the proposed scheduling algorithms. We compare the IRCBD algorithm with the actor–critic algorithm and the RCBD algorithm. The charging cost of the IRCBD algorithm with the threshold 0.9 of trajectory similarity is 5.56% more than that of the RCBD algorithm. The running time of the IRCBD algorithm is 50.01% less than that of the RCBD algorithm when there are 300 pickups and deliveries. The running time of the IRCBD algorithm is less than that of the RCBD algorithm and the actor–critic algorithm.
Identifying the Digital Camera from Natural Images Using Residual Noise and the Jensen-Shannon Divergence

Regarding the problem of digital camera identification, many methods have been proposed, and for several of them, their effectiveness has been verified on the basis of disputed flat images. However, in real cases the disputed images are natural images, rather than flat images. In that case, several of the already proposed methods are not effective. Hence, in this paper, a method is proposed for the digital camera identification from natural images based on the statistical comparison between the residual noise in the natural disputed images and the fingerprint defined for the eligible digital cameras. In the reported case studies, the HDR database provided by the Communications and Signal Processing Laboratory of University of Florence is used to select a set of eligible digital cameras, and from this image database, for each digital camera, a set of disputed flat images, a set of disputed natural images, and a set of flat reference images were selected. Thus, the fingerprint of each digital camera was calculated from the probability density function (PDF) of the photo-response nonuniformity (PRNU) extracted from its reference images. Therefore, in order to identify the source digital camera of a natural disputed image, the Jensen–Shannon divergence (JSD) was implemented to statistically compare the PRNU-based fingerprint of each eligible source camera against the noise residual of that disputed image. The proposed method has a similar effectiveness to methods based on the peak-to-correlation energy or the Kullback–Leibler divergence when the disputed images are flat images and the PRNU is considered, but it is significantly more effective than those methods when the disputed images are natural images.
Self-Reported Experiences of Midwives Working in the UK across Three Phases during COVID-19: A Cross-Sectional Study

Maternity services cannot be postponed due to the nature of this service, however, the pandemic resulted in wide-ranging and significant changes to working practices and services. This paper aims to describe UK midwives’ experiences of working during the COVID-19 pandemic. This study forms part of a larger multiple phase research project using a cross-sectional design based on an online survey. The online survey used validated psychometric tools to measure work-related quality of life, wellbeing, coping, and burnout as well as open-ended questions to further understand the experiences of staff working during the pandemic. This paper reports the qualitative data collected from the open-ended questions. The qualitative data were subjected to thematic analysis and the four main themes that emerged were ‘relentless stress/pressure’, ‘reconfiguration of services’, ‘protection of self and others’, and ‘workforce challenges’. The key conclusions were that midwives experienced a reduction in quality of working life and significant stress throughout the pandemic due to a range of factors including staffing shortages, restrictions placed on women’s partners, changes to services and management support, all of which compounded workforce pressures that existed prior to the pandemic. This research recommends consultation of front-line midwives in relation to possible changes in practice and workforce planning in preparation for crises such as a pandemic and to ensure equitable and supportive management with access to practical and psychological support.
Beneficial effects of bunch-zone late defoliations and shoot positioning on berry composition and colour components of wines undergoing aging in an organically-managed and rainfed Sangiovese vineyard

In the context of climate change, where high temperatures are frequent in the first phases of ripening, protecting grapevine bunches from solar radiation is essential for preserving berry composition and wine colour. The effects of bunch-zone late defoliations (DEFs) and “semi-ballerina” shoot positioning (SB) on vine physiology and grape and wine quality of organic cv. Sangiovese wines during storage were assessed in two contrasting seasons (2013 and 2014). The treatments altered neither vine physiology (leaf photosynthetic activity and stomatal conductance, stem water potential) nor vine phenology, yield, budburst and fruitfulness. Defoliations imposed at post-veraison (DEF I) and pre-harvest (DEF II), but not shoot positioning imposed at post-veraison, enhanced the concentration of berry skin flavonols at harvest, compared to an untreated control. Late defoliations and SB did not change berry weight, anthocyanins, soluble solids, pH or titratable acidity at harvest. The severity of Botrytis bunch rot was assessed in both seasons. In 2013, it was negligible regardless of the treatment. In 2014 (characterised by higher rainfall and lower average temperatures than in 2013), late defoliations (DEF I and DEF II), especially DEF I, and SB to a minor extent, limited the severity of Botrytis bunch rot. The oenological benefits of late defoliations and shoot positioning were observed during wine storage. These canopy management practices positively influenced wine components (polymeric pigments; namely short polymeric pigments) that might have a marked effect on the final colour intensity, without altering the basic chemical characteristics of the wine. When choosing the timing for carrying out defoliation in order to improve grape quality and bunch rot containment, the meteorological conditions should be properly considered. Our results may contribute to providing further recommendations for canopy management for grape growers who produce organic Sangiovese wines that undergo aging.
A tunable, dual mode field-effect or single electron transistor

A dual mode device behaving either as a field-effect transistor or a single electron transistor (SET) has been fabricated using silicon-on-insulator metal oxide semiconductor technology. Depending on the back gate polarisation, an electron island is accumulated under the front gate of the device (SET regime), or a field-effect transistor is obtained by pinching off a bottom channel with a negative front gate voltage. The gradual transition between these two cases is observed. This dual function uses both vertical and horizontal tunable potential gradients in non-overlapped silicon-on-insulator channel.
A SEARCH FOR HIGH PROPER MOTION T DWARFS WITH Pan-STARRS1 + 2MASS + WISE

We have searched ≈8200 deg2 for high proper motion (≈0.″5–2.″7 year−1) T dwarfs by combining first-epoch data from the Pan-STARRS1 (PS1) 3π Survey, the Two Micron All Sky Survey (2MASS) All-Sky Point Source Catalog, and the WISE Preliminary Data Release. We identified two high proper motion objects with the very red (W1 − W2) colors characteristic of T dwarfs, one being the known T7.5 dwarf GJ 570D. Near-IR spectroscopy of the other object (PSO J043.5395+02.3995 ≡ WISEP J025409.45+022359.1) reveals a spectral type of T8, leading to a photometric distance of 7.2 ± 0.7 pc. The 2. ″56 year−1 proper motion of PSO J043.5+02 is the second highest among field T dwarfs, corresponding to a tangential velocity of 87 ± 8 km s−1. According to the Besançon galaxy model, this velocity indicates that its galactic membership is probably in the thin disk, with the thick disk an unlikely possibility. Such membership is in accord with the near-IR spectrum, which points to a surface gravity (age) and metallicity typical of the field population. We combine 2MASS, Sloan Digital Sky Survey, WISE, and PS1 astrometry to derive a preliminary parallax of 171 ± 45 mas (5.8+2.0− 1.2 pc), the first such measurement using PS1 data. The proximity and brightness of PSO J043.5+02 will facilitate future characterization of its atmosphere, variability, multiplicity, distance, and kinematics. The modest number of candidates from our search suggests that the immediate (∼10 pc) solar neighborhood does not contain a large reservoir of undiscovered T dwarfs earlier than about T8.