Miracle-dz/UniFAR-FTUs huggingface dataset:
The Nurses’ Perspective on the Relationship between Job Stress and Nursing Errors in the COVID-19 Pandemic: A Case Study in Teaching Hospitals Affiliated with Shahid Sadoughi University of Medical Sciences in Yazd

Introduction: Job stress can lead to nursing errors. Therefore, due to the spread of the corona virus disease and excessive fatigue of the medical staff, this study was conducted to investigate the relationship between job stress and nursing errors during the Covid-19 pandemic in 2022. Methods: This is a descriptive correlational study conducted during the covid-19 pandemic on 130 nurses of the teaching hospitals of Yazd University of Medical Sciences. The data were collected using standard questionnaires of occupational stress (HSE questionnaire) and nursing errors. Data was analyzed using descriptive and analytical statistics using SPSS version 22. Results: The overall mean score of job stress was 119.3, which indicates a high (severe) job stress level in the studied nurses. Also, the overall mean score of nursing errors was 35.15, which indicates high levels of nursing errors. Finally, there was a statistically significant relationship between job stress and nursing errors (P=0.031). As the level of occupational stress increased, the incidence of nursing errors enhanced. Conclusion: A wide range of factors play a role in the occurrence of nursing errors, and occupational stress is one of them. Identifying other factors and removing them from the work environment increase the quality of care and patient safety. It is necessary to identify the amount and stress factors in future and try to eliminate them by providing management solutions.
Understanding the atmospheric properties and chemical composition of the ultra-hot Jupiter HAT-P-7b

Context. Of the presently known ≈3900 exoplanets, sparse spectral observations are available for ≈100. Ultra-hot Jupiters have recently attracted interest from observers and theoreticians alike, as they provide observationally accessible test cases. Confronting detailed theoretical models with observations is of preeminent importance in preparation for upcoming space-based telescopes. Aims. We aim to study cloud formation on the ultra-hot Jupiter HAT-P-7b, the resulting composition of the local gas phase, and how their global changes affect wavelength-dependent observations utilised to derive fundamental properties of the planet. Methods. We apply a hierarchical modelling approach as a virtual laboratory to study cloud formation and gas-phase chemistry. We utilise 97 vertical 1D profiles of a 3D GCM for HAT-P-7b to evaluate our kinetic cloud formation model consistently with the local equilibrium gas-phase composition. We use maps and slice views to provide a global understanding of the cloud and gas chemistry. Results. The day/night temperature difference on HAT-P-7b (ΔT ≈ 2500 K) causes clouds to form on the nightside (dominated by H2/He) while the dayside (dominated by H/He) retains cloud-free equatorial regions. The cloud particles vary in composition and size throughout the vertical extension of the cloud, but also globally. TiO2[s]/Al2O3[s]/CaTiO3[s]-particles of cm-sized radii occur in the higher dayside-latitudes, resulting in a dayside dominated by gas-phase opacity. The opacity on the nightside, however, is dominated by 0.01…0.1μm particles made of a material mix dominated by silicates. The gas pressure at which the atmosphere becomes optically thick is ~10−4 bar in cloudy regions, and ~0.1 bar in cloud-free regions. Conclusions. HAT-P-7b features strong morning/evening terminator asymmetries, providing an example of patchy clouds and azimuthally-inhomogeneous chemistry. Variable terminator properties may be accessible by ingress/egress transmission photometry (e.g., CHEOPS and PLATO) or spectroscopy. The large temperature differences of ≈2500 K result in an increasing geometrical extension from the night- to the dayside. The H2O abundance at the terminator changes by <1 dex with altitude and ≲0.3 dex (a factor of 2) across the terminator for a given pressure, indicating that H2O abundances derived from transmission spectra can be representative of the well-mixed metallicity at P ≳ 10 bar. We suggest the atmospheric C/O as an important tool to trace the presence and location of clouds in exoplanet atmospheres. The atmospheric C/O can be sub- and supersolar due to cloud formation. Phase curve variability of HAT-P-7b is unlikely to be caused by dayside clouds.
Conﬁdential Boosting with Random Linear Classiﬁers for Outsourced User-generated Data

User-generated data is crucial to predictive modeling in many applications. With a web/mobile/wearable interface, a data owner can continuously record data generated by distributed users and build various predictive models from the data to improve their operations, services, and revenue. Due to the large size and evolving nature of users data, data owners may rely on public cloud service providers (Cloud) for storage and computation scalability. Exposing sensitive user-generated data and advanced analytic models to Cloud raises privacy concerns. We present a conﬁdential learning framework, SecureBoost, for data owners that want to learn predictive models from aggregated user-generated data but ofﬂoad the storage and computational burden to Cloud without having to worry about protecting the sensitive data. SecureBoost allows users to submit encrypted or randomly masked data to designated Cloud directly. Our framework utilizes random linear classiﬁers (RLCs) as the base classiﬁers in the boosting framework to dramatically simplify the design of the proposed conﬁdential boosting protocols, yet still preserve the model quality. A Cryptographic Service Provider (CSP) is used to assist the Cloud’s processing, reducing the complexity of the protocol constructions. We present two constructions of SecureBoost: HE+GC and SecSh+GC, using combinations of homomorphic encryption, gar-bled circuits, and random masking to achieve both security and efﬁciency. For a boosted model, Cloud learns only the RLCs and the CSP learns only the weights of the RLCs. Finally, the data owner collects the two parts to get the complete model. We conduct extensive experiments to understand the quality of the RLC-based boosting and the cost distribution of the constructions. Our results show that SecureBoost can efﬁciently learn high-quality boosting models from protected user-generated data.
Modeling and Managing Longevity Risk: Models and Applications

With the threat of longevity risk to the insurance industry becoming increasingly apparent in recent years, insurers and reinsurers are concerned about how to better model and manage longevity risk. However, modeling and managing longevity risk is not trivial, due in part to its systematic nature and in part to the excessive amount of risk factors that constitute the risk. The theme of this thesis is modeling and managing longevity risk. In particular, this thesis focuses on four types of uncertainties among all possible risk factors. These four risk factors include 1) mortality jump risk; 2) longevity drift risk; 3) population basis risk; and 4) cohort mismatch risk. In the current literature, a number of stochastic mortality models with transitory jump effects have been proposed to capture mortality jump risk. Rather than modeling the age pattern of jump effects explicitly, most of the existing models assume that the distributions of jump effects and general mortality improvements across ages are identical. Nevertheless, this assumption does not appear to be in line with what can be observed from historical data. In this thesis, we addressed this disconnect by introducing a Lee-Carter variant that captures the age pattern of mortality jumps by a distinct collection of parameters. The model variant was then further generalized to permit the age pattern of jump effects to vary randomly. We illustrated the two proposed models with mortality data from the United States and English and Welsh populations, and further used these data to value hypothetical mortality bonds with similar specifications to the Atlas IX Capital Class B note that was launched in 2013. The features we considered were found to have a significant impact on the estimated prices. We then explored longevity drift risk, which is the uncertainty about the mortality trend itself. We tackled longevity drift risk by introducing the locally-linear CBD model in which the drifts that govern the expected mortality trend are allowed to follow a stochastic process. Compared to the original CBD model, this specification results in median forecasts that are more consistent with recent trends and more robust relative to changes in the data sample period. Furthermore, the proposed model also yields wider prediction intervals that may better reflect the possibilities of future trend changes. To mitigate the risk associated with changes in drifts, we proposed a new hedging method called the generalized statespace hedging method which demands less stringent assumptions. The proposed method allows hedgers to extract more hedge effectiveness out of a hedging instrument, and is therefore useful when there are only a few traded longevity securities in the market. To incorporate population basis risk, we further extended the proposed generalized state-space hedging method to a multi-population setting. In this extended hedging method, the hedging strategy is derived by first reformulating the assumed multi-population
The networked bureaucracy: reinventing formalization in the context of collaborative governance

Based on a critical appraisal of current literature on Collaborative Governance, this article addresses the predominant way of dissociating public networks and bureau-cracy as opposing forms of organizations. Drawing upon data collected from three governance networks in Sweden, the study displays how the studied actors seek to establish hierarchical relations, formal interaction channels, and designated offices to enable and facilitate collaborative governance networks in response to what is perceived as irrational and ad-hoc organizing. The analysis outlines how and why governance networks need not inevitably be transcending bureaucracy, but constitute a distinct and deliberate declaration of just that: The Networked Bureaucracy .
Ram pressure stripping of the multiphase ISM in the Virgo cluster spiral galaxy NGC 4438

Ram pressure stripping of the multiphase ISM is studied in the perturbed Virgo cluster spiral galaxy NGC 4438. This galaxy underwent a tidal interaction ∼100 Myr ago and is now strongly affected by ram pressure stripping. Deep VLA radio continuum observations at 6 and 20 cm are presented. We detect prominent extraplanar emission to the west of the galactic center, which extends twice as far as the other tracers of extraplanar material. The spectral index of the extraplanar emission does not steepen with increasing distance from the galaxy. This implies in situ re-acceleration of relativistic electrons. The comparison with multiwavelength observations shows that the magnetic field and the warm ionized interstellar medium traced by Hα emission are closely linked. The kinematics of the northern extraplanar Hα emission, which is ascribed to star formation, follow those of the extraplanar CO emission. In the western and southern extraplanar regions, the Hα measured velocities are greater than those of the CO lines. We suggest that the ionized gas of this region is excited by ram pressure. The spatial and velocity offsets are consistent with a scenario where the diffuse ionized gas is more efficiently pushed by ram pressure stripping than the neutral gas. We suggest that the recently found radio-deficient regions compared to 24 μm emission are due to this difference in stripping efficiency.
with CT Nasolacrimal Duct Obstruction: Assessment Normal Values and Values Related to Diameter of the Bony Lacrimal Canal:

BACKGROUND AND PURPOSE: Epiphora, or tearing due to primary acquired nasolacrimal duct obstruction (PANDO), is increasingly being treated with balloon dilatation. The cause of PANDO is unknown, but a small diameter of the bony nasolacrimal canal might be one of the etiologic factors. The purpose of this study was to determine the normal distribution of diameters of the bony canal and to ascertain whether there is an association between the diameter of the bony canal and primary nasolacrimal duct obstruction. METHODS: Using axial CT, we measured the minimum diameter of the bony nasolacrimal canal in a control group of 50 men and 50 women and in 19 patients with PANDO. RESULTS: The mean minimum diameter in the control group was 3.5 mm, which was smaller than expected on the basis of published data. The difference between the mean minimum diameter in men (3.70 mm) and that in women (3.35 mm) was signiﬁcant. The mean minimum diameter in the patient group was 3.0 mm, which was signiﬁcantly smaller than that in the control group. There was, however, considerable overlap. CONCLUSION: A small diameter of the bony canal appears to be one of the etiologic factors in PANDO.
A variability analysis of low-latitude unidentified gamma-ray sources

We present a study of 40 low-latitude unidentied 3EG gamma-ray sources which were found to be not positionally coincident with any known class of potential gamma-ray emitters in the Galaxy (Romero et al. 1999). We have performed a variability analysis which reveals that many of these 40 sources are variable. These sources have, in addition, a steep mean value of the gamma-ray spectral index, =2 :41 0:2, which, combined with the high level of variability, seems to rule out a pulsar origin. The positional coincidences with uncatalogued candidates to supernova remnants were also studied. Only 7 sources in the sample are spatially coincident with these candidates, a result that is shown to be consistent with the expected level of pure chance association. A complementary search for weak radio counterparts was also conducted and the results are presented as an extensive table containing all signicant point-like radio sources within the 40 EGRET elds. We argue that in order to produce the high variability, steep gamma-ray spectra, and absence of strong radio counterparts observed in some of the gamma-ray sources of our sample, a new class of objects should be postulated, and we analyze a viable candidate.
A holistic view on ram pressure stripping in the Virgo cluster The first complete model-based time sequence

Based on a comparison of dynamical models with observations of the interstellar gas in 6 Virgo cluster spiral galaxies, a first complete ram pressure stripping time sequence has been established. The observational characteristics of the different stages of ram pressure stripping are presented. The dynamical models yield the 3D velocity vectors of the galaxies, peak ram pressures, and times to peak ram pressure. In the case of a smooth, static, and spherical intracluster medium, peak ram pressure occurs during the galaxy’s closest approach to the cluster center, i.e. when the galaxy’s velocity vector is perpendicular to its distance vector from the cluster center (M 87). Assuming this condition, the galaxy’s present line-of-sight distance and its 3D position during peak ram pressure can be calculated. The linear orbital segments derived in this way, together with the intracluster medium density distribution derived from X-ray observations, give estimates of the ram pressure that are on average a factor of 2 higher than derived from the dynamical simulations for NGC 4501, NGC 4330, and NGC 4569. Resolving this discrepancy would require either a 2 times higher intracluster medium density than derived from X-ray observations, or a 2 times higher stripping efficiency than assumed by the dynamical models. Compared to NGC 4501, NGC 4330, and NGC 4569, NGC 4388 requires a still 2 times higher local intracluster medium density or a direction which is moderately different from that derived from the dynamical model. A possible scenario is presented for the dynamical evolution of NGC 4438 and M 86 within the Virgo cluster.
Homoeopathy in cases of Stress Urinary Incontinence in Parous Women of Reproductive Age Group a Randomised Controlled Study

Background & Objective : Stress Urinary Incontinence (SUI) is an involuntary urinary leakage that occurs with transient increase in abdominal pressure as in coughing, laughing and sneezing. It is very common in females because of weakening of pelvic floor muscles followed by childbirth. Regular pelvic floor exercise (PFE) can overcome this problem slowly but individualized Homoeopathic medicines can fasten the improvement. The main objective of this study is to explore the role of Homoeopathy in the treatment of SUI in parous women of reproductive age group along with PFE in comparison to treatment with only PFE. Methods: A prospective experimental randomized controlled study was conducted in which total 100 parous females of reproductive age group were studied. Baseline characteristics of all patients were involuntary urinary leakage on coughing, laughing and sneezing. Patients were randomized into two groups to receive individualized homoeopathic medicines (Group A; n=50) and placebo (Group B; n=50) along with PFE. Patients of both groups were compared according to scores of 1-hour Pad Weight Test (1-hr PWT). Baseline scores of both groups were measured and compared with the scores after 6 months follow-ups. Results : The scores of 1-hr PWT after treatment in Group A and Group B were compared; the mean scores in Group A were lower than the mean scores of Group B. The paired t test and independent t test showed statistically significant difference (P<.05). The most frequently indicated homoeopathic medicine was Sepia officinalis ( n =20). Conclusion: The individualized homoeopathic medicines along with pelvic floor exercise produced promising outcome in the treatment of cases of stress urinary incontinence in parous females of reproductive age group.
Telemetry of Legacy Web Applications: An Industrial Case Study

—Berger-Levrault, like many companies, has legacy web applications that still bring great values, and cannot be easily replaced. To maintain these applications, it needs data about user navigation, back-end actions and client-server data exchange. Berger-Levrault has relied on a traditional logging approach that partially collects these data, requires modifying the application code and heavily impacts its performance. To address the limitations of this logging approach, we propose to replace it by a modern software telemetry approach. Existing telemetry approaches do not meet our needs, they should be extended based on our objectives, technological constraints and industrial regulations. In this paper, we report our experience in instrumenting real, large-scale, industrial legacy web applications based on a telemetry approach. Our goal is to automatically instrument legacy web applications to collect data fulfilling our industrial needs. We extend the automatic instrumentation capabilities of OpenTelemetry agents to instrument our applications without modifying their code. We define a telemetry architecture to integrate telemetry components with legacy web applications. Also, we empirically evaluate the performance overhead produced by our agents. The results show that there is no significant overhead when using OpenTelemetry agents. However, this overhead is sensitive to the size of data being serialized when in-strumenting client-server data exchange. Moreover, we discuss lessons learned about the technical challenges we faced during the industrialization of our approach.
Chinese Teachers’ Perceptions of Creativity in the EFL Classroom: Advancing a Culturally Situated Conceptualization of Creativity

This study explores Chinese EFL teachers’ perceptions of what characteristics define a creative pupil, beliefs about the malleability and creative competency of students, viewpoints on creativity’s relationship to academic subject matter, and assumptions of how creativity is facilitated in the EFL classroom. With the primary aim of contributing to the understanding of creativity as a cultural construct, rather than just a cognitive or social concept, this mixed method research design employed an online questionnaire to include teachers working in different regions and diverse educational contexts in China, as well as interviews to better understand and articulate teachers’ viewpoints about creativity in the language classroom. The results of the current study are remarkably inconsistent with the findings of the existing literature that largely support traditional Chinese perceptions and philosophies in relation to creativity, indicating that the concept may be changing in China and/or it may be defined and understood differently in the context of language education. Nonetheless, some traditional perspectives of
Global estimation of effective plant rooting depth: Implications for hydrological modeling

Plant rooting depth (Zr) is a key parameter in hydrological and biogeochemical models, yet the global spatial distribution of Zr is largely unknown due to the difficulties in its direct measurement. Additionally, Zr observations are usually only representative of a single plant or several plants, which can differ greatly from the effective Zr over a modeling unit (e.g., catchment or grid‐box). Here, we provide a global parameterization of an analytical Zr model that balances the marginal carbon cost and benefit of deeper roots, and produce a climatological (i.e., 1982–2010 average) global Zr map. To test the Zr estimates, we apply the estimated Zr in a highly transparent hydrological model (i.e., the Budyko‐Choudhury‐Porporato (BCP) model) to estimate mean annual actual evapotranspiration (E) across the globe. We then compare the estimated E with both water balance‐based E observations at 32 major catchments and satellite grid‐box retrievals across the globe. Our results show that the BCP model, when implemented with Zr estimated herein, optimally reproduced the spatial pattern of E at both scales (i.e., R2 = 0.94, RMSD = 74 mm yr−1 for catchments, and R2 = 0.90, RMSD = 125 mm yr−1 for grid‐boxes) and provides improved model outputs when compared to BCP model results from two already existing global Zr data sets. These results suggest that our Zr estimates can be effectively used in state‐of‐the‐art hydrological models, and potentially biogeochemical models, where the determination of Zr currently largely relies on biome type‐based look‐up tables.
SAFA: A new measure to evaluate psychiatric symptoms detected in a sample of children and adolescents affected by eating disorders. Correlations with risk factors

In order to evaluate the psychiatric symptoms associated with a diagnosis of eating disorders (ED) we have administered a new psychometric instrument: the Self Administrated Psychiatric Scales for Children and Adolescents (SAFA) test. SAFA was administered to a cohort of 97 patients, aged from 8.8 to 18, with an ED diagnosis. Age, body mass index (BMI) and BMI standard deviation score were analyzed. Furthermore, while looking for linkable risk factors, we evaluated other data that took an influence over the SAFA profile, like parental separation and family components’ number. Compared to the range of statistical normality (based on Italian population), patients with bulimia nervosa or binge-eating disorder showed higher and pathologic values in specific subscales. When analyzing sex, males showed more pathologic values in most anxiety-related, obsessiveness–compulsiveness-related and insecurity subscales. A correlation among age, BMI and specific subscales (low self esteem, psychological aspects) emerged in participants with anorexia nervosa. In order to plan more appropriate diagnostic and therapeutic approaches in children or adolescents suffering from ED, the SAFA test can be an important instrument to evaluate psychiatric symptoms. Therefore, we propose to include this useful, simple self-administered test as a new screening tool for ED diagnosis.