Miracle-dz/UniFAR-FTUs huggingface dataset:
Secondary traumatic stress, vicarious posttraumatic growth and their association in emergency room physicians and nurses

ABSTRACT Background: Emergency room personnel are indirectly exposed to many traumas. Few studies have examined secondary traumatic stress in emergency room nurses and only a single study examined emergency room physicians. The extent of vicarious post-traumatic growth, i.e., the growth associated with such trauma, has also hitherto not been examined in emergency room personnel. Objective: Our first goal was to examine secondary traumatization in both emergency room nurses and physicians. Our second goal was to examine vicarious post-traumatic growth in emergency room personnel. Finally, we also address the association (linear and curvilinear) between secondary traumatization and vicarious traumatic growth. Methods: A questionnaire comprising demographic variables, secondary traumatic stress and vicarious post-traumatic growth was administered electronically to a sample of emergency room personnel from the Wolfson Hospital, Holon, Israel. Results: There were no differences between nurses and physicians in overall secondary trauma or vicarious post-traumatic growth levels. For physicians, there was both a linear and a curvilinear association between secondary trauma and vicarious post-traumatic growth; for nurses, there was no overall association. Further sub-group analyses revealed that emergency room nurses with low workload, in conjunction with low work experience, did show a linear association. Conclusion: Results indicate that while vicarious post-traumatic growth is linked to secondary traumatic stress for emergency room physicians, it is not so for nurses. Theoretical implications concerning the role of trauma symptoms in vicarious post-traumatic growth are discussed. Clinical implications are raised regarding the identification of excessive secondary traumatic stress levels and the need for interventions to both decrease stress levels, and to increase vicarious post-traumatic growth levels. HIGHLIGHTS • Emergency room physicians and nurses have same level of secondary trauma and vicarious post-traumatic growth. • In physicians these variables were linked; in nurses they were not. • Different sources for growth in physicians and nurses are discussed.
Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective

Although machine learning is frequently associated with neural networks, it also comprises econometric regression approaches and other statistical techniques whose accuracy enhances with increasing observation. What constitutes high quality machine learning is yet unclear though. Proponents of deep learning (i.e. neural networks) value computational efficiency over human interpretability and tolerate the ‘black box’ appeal of their algorithms, whereas proponents of explainable artificial intelligence (xai) employ traceable ‘white box’ methods (e.g. regressions) to enhance explainability to human decision makers. We extend Brooks et al.’s [2019. ‘Financial Data Science: The Birth of a New Financial Research Paradigm Complementing Econometrics? ’ European Journal of Finance 25 (17): 1627–36. ] work on significance and relevance as assessment critieria in econometrics and financial data science to contribute to this debate. Specifically, we identify explainability as the Achilles heel of classic machine learning approaches such as neural networks, which are not fully replicable, lack transparency and traceability and therefore do not permit any attempts to establish causal inference. We conclude by suggesting routes for future research to advance the design and efficiency of ‘white box’ algorithms.
Metaphor generation through context sensitive distributional semantics

This is the author accepted manuscript of McGregor, Purver, Wiggins (2020). Metaphor Generation through Context Sensitive Distributional Semantics. In Producing Figurative Expression: Theoretical, experimental and practical perspectives pp.419-448, DOI 10.1075/ftl.10. 15mcg. Copyright 2020 John Benjamins Publishing Company, who should be contacted for permission to re-use or reprint the material in any form. Abstract: In this paper, we outline a preliminary methodology for generating metaphor based
CARACTERIZAÇÃO DO PERFIL CLÍNICO E SOCIODEMOGRÁFICO DE PACIENTES ADMITIDOS EM UMA UNIDADE DE TERAPIA INTENSIVA

O objetivo deste estudo é caracterizar o perfil clínico e sociodemográfico de pacientes admitidos em uma Unidade de Terapia Intensiva de um hospital do estado de Sergipe. Trata-se de um corte transversal de uma coorte prospectiva vinculada ao projeto intitulado UTISE. A coleta de dados ocorreu diariamente, entre Outubro/2018 e Maio/2019, sendo realizada através da análise dos prontuários eletrônicos. A amostra da pesquisa foi por conveniência e correspondeu aos pacientes admitidos durante o período de coleta de dados. Foram incluídos 43 pacientes, predominantemente do sexo masculino (55,8%), com uma média de idade de 68 anos, peso de 67,53 kg, índice de massa corpórea de 24,66kg/m², altura entre 1,60-1,69, grande parte dos pacientes procedentes da emergência 66,1%, sendo os distúrbios cardiovasculares 25,1% o principal motivo de internação. A partir da identificação deste perfil torna-se possível a utilização dos resultados deste estudo como subsídio para novas pesquisas em outras instituições hospitalares.
A Unified Interface Library Open-IES-Sim Platform

In the future, integrated functions and energy internet will become the direction of smart energy development. This puts forward requirements for power flow calculation and simulation of combined heat and power supply and unified modeling. Due to the complexity of the tespy heat network equipment model, the lack of node modeling corresponding to the power flow calculation model brings difficulties to the simulation modeling of the unified power and power flow calculation. Therefore, it is necessary to unify the interface of thermal network and power flow calculation model. Based on the tespy and pandapower libraries, this paper unifies the interface functions of heat network and power grid power flow calculation modeling, constructs a unified interface library Open-IES-Sim platform and builds a coupled power flow calculation process method and corresponding visualization results display program. The corresponding open source example is given. It is convenient for the future use of scientific research workers who need thermal and electrical coupling modeling and the demonstration research in education and teaching.
Breeding system of diploid sexuals within the Ranunculus auricomus complex and its role in a geographical parthenogenesis scenario

Abstract The larger distribution area of asexuals compared with their sexual relatives in geographical parthenogenesis (GP) scenarios has been widely attributed to the advantages of uniparental reproduction and polyploidy. However, potential disadvantages of sexuals due to their breeding system have received little attention so far. Here, we study the breeding system of five narrowly distributed sexual lineages of Ranunculus notabilis s.l. (R. auricomus complex) and its effects on outcrossing, inbreeding, female fitness, and heterozygosity. We performed selfing and intra‐ and interlineage crossings by bagging 481 flowers (59 garden individuals) followed by germination experiments. We compared seed set and germination rates, and related them to genetic distance and genome‐wide heterozygosity (thousands of RADseq loci). Selfings (2.5%) unveiled a significantly lower seed set compared with intra‐ (69.0%) and interlineage crossings (69.5%). Seed set of intra‐ (65%) compared to interpopulation crossings (78%) was significantly lower. In contrast, all treatments showed comparable germination rates (32%–43%). Generalized linear regressions between seed set and genetic distance revealed positive relationships in general and between lineages, and a negative one within lineages. Seed set was the main decisive factor for female fitness. Germination rates were not related to genetic distance at any level, but were positively associated with heterozygosity in interlineage crossings. Experiments confirmed full crossability and predominant outcrossing among sexual R. notabilis s.l. lineages. However, up to 5% (outliers 15%–31%) of seeds were formed by selfing, probably due to semi‐self‐compatibility in a multi‐locus gametophytic SI system. Less seed set in intrapopulation crossings, and higher seed set and germination rates from crossings of genetically more distant and heterozygous lineages (interlineage) indicate negative inbreeding and positive outbreeding effects. In GP scenarios, sexual species with small and/or isolated populations can suffer from decreased female fitness due to their breeding system. This factor, among others, probably limits range expansion of sexuals.
QUATERNION-TYPE REPRESENTATION FOR MEASURING THE RENNET COAGULATION TIME OF MILK BY COLOR IMAGE SEQUENCES PROCESSING

The determination of the rennet coagulation time of milk by image sequences processing was performed using a computer vision system (CVS), consisting of a computer coupled with a transmitted light microscope equipped with a digital camera. Algorithms implemented with Matlab 2014 encoded the color image as a quaternion, computed and analyzed the histogram peak. The evolution of this last parameter was monitored as a function of the milk coagulation time, for different concentrations of calcium chloride (0.01–0.03 M) and for coagulation temperatures varying between 30 and 36°C. No statistically significant difference was observed in the measurements of the rennet coagulation time, neither by the Berridge method nor by the analysis of the image sequences, except for those at 36°C. The association of the optical microscopic method and the analysis of image sequences by a quaternion-type representation, made it possible to identify optical changes during gel formation and to accurately determine the rennet coagulation time of milk.
Electrocatalytic oxidation of CO on Ru(0001) surfaces: The influence of surface disorder

Smooth and rough (created by argon ion sputtering) Ru(0001) surfaces were structurally characterized by reflection high energy electron diffraction (RHEED), and their activity in electrooxidation of CO in 0.1 M HClO4 solution was probed by cyclic voltammetry (CV). While the peak potentials of CO-oxidation on the smooth surface varied with the CO,OH-adsorbate composition (which changed in subsequent scans), these were markedly (∼0.3 V) lower with the rough surface. This difference is attributed to the varying properties of the Ru–O bond whose activation is considered to be rate-limiting. The enhanced activity of the rough surface is also reflected by the fact that the entire amount of adsorbed CO becomes completely oxidized during the first anodic scan, while with the flat surface at least three cycles are required.
Computationally efficient hybrid PM loss prediction method for surface‐mounted permanent magnet machine over entire working conditions

This study proposes a computationally efficient hybrid approach to calculating permanent magnet (PM) loss in surface-mounted PM machine (SPMM) over the whole working points. By analysing the impact of current amplitude, current angle, rotor speed, and PM temperature on the corresponding subdomain PM loss results, a simplified model that considers harmonic current and explicitly expresses the relationship between PM loss and working point variables is derived. Unlike the corresponding subdomain method, the proposed model does not involve a Fourier expansion or summation over a large number of terms, which simplifies the calculation and makes the PM loss under any operating condition can be acquired instantly. Thus, the needs for PM loss table and massive experiments or calculations are eliminated. The accuracy of this hybrid approach is validated against the finite element method results of a six-phase SPMM over a wide range of working conditions. However, the cross-verification studies demonstrate that the proposed method has good efficiency and high precision, making it a promising tool for online PM loss prediction.
A narrow band and high selectivity half‐mode substrate integrated waveguide bandpass filter with interdigital slots

A novel in‐line half‐mode substrate integrated waveguide (HMSIW) bandpass filter with interdigital slots has been proposed in this letter. Here, the interdigital slot shows attenuation resonance characteristics and generates a finite frequency transmission zero (TZ). The proposed filter generates two TZs without additional coupling or extra space and exhibits wide stopband characteristics. To validate this method, the in‐line two‐pole quasi‐elliptic bandpass filter is synthesized and fabricated on RT/Duroid 5880 substrate using printed circuit board technology. The experimental results show that center frequency, 3‐dB fractional bandwidth, insertion loss, and return loss are 3.6 GHz, 6.0%, 1.9 and 18 dB, respectively, and are very much similar to the simulated S‐parameters.
Focused Microwave Assisted Extraction of Polycyclic Aromatic Compounds from Standard Reference Materials, Sediments and Biological Tissues

Abstract Extraction of Polycyclic Aromatic Hydrocarbons (PAHs) has been performed using a new focused microwave (FMW) open-vessel system. The experimental conditions were optimised (power, time, solvent…). This new technique of extraction was then applied to several standard reference materials (sediment, air particulate matter). The results, which were obtained, show a good extraction efficiency (greater than 85%) when comparing concentrations to the certified values. The great improvements of this technique, compared to other extraction ones, are the small volume of the extraction solvent needed to perform the extraction (few dozens of mL) and the drastic reduction of the extraction time (10 minutes).
Injection of photoelectrons into dense argon gas

The injection of photoelectrons into a gaseous or liquid sample is a widespread technique that is used to produce a cold plasma in a weakly ionized system to study the transport properties of electrons in a dense gas or liquid. We report here the experimental results of the collection efficiency of photoelectrons injected into dense argon gas at T = 142.6 K as a function of the externally applied electric field and gas density. We show that the experimental data can be interpreted in terms of the so-called Young–Bradbury model, only if multiple scattering effects due to the dense environment are taken into account when computing the scattering properties and energetics of the electrons.
High diffraction efficiency at hard X-ray energy in a silicon crystal bent by indentation

The diffraction properties of a crystalline silicon plate of which one face was mechanically indented have been studied. This treatment induced a permanent curvature in the sample, which allowed a diffraction efficiency of 88% for 150 keV photons, i.e. a reflectivity of 64% including the absorption. This efficiency is constant over 14 arcseconds and is very close to the theoretical expectation, meaning that the curvature is highly homogeneous. The technique enables the fabrication, in a very reproducible fashion, of crystals for the realization of an astronomical hard X-ray concentrator (Laue lens).
Determinants of Overfunding in Equity Crowdfunding: An Empirical Study in the UK and Spain

Crowdfunding constitutes one of the financial solutions to achieve the sustainable development goals, by fostering innovation and economic growth. This paper conducts an empirical two-country analysis (the UK and Spain) of characteristics of successful offerings to assess the distribution of overfunding in equity crowdfunding. Unlike previous research, which has usually comprised campaigns posted on single-country portals, our study is based on an international leading platform operating with country-differentiated websites, Crowdcube. Such an approach allows us to identify influential factors which are dependent on country and, simultaneously, to control for those platform-related factors. To focus on the overfunding distribution, a quantile regression methodology is adopted for a total sample of 299 overfunded campaigns from 2015 to 2018. Overall, empirical results show that the effects of key campaign features (equity, voting rights and social capital) are stronger and more significant at the 75th and 90th quantiles for the overfunding level and the number of investors. Furthermore, we find significant differences across countries, which persist along the distributions of overfunding. Yet, interestingly, between-country differences in overfunding level vanish for the technological sector. Our research provides further insights into the relation between equity crowdfunding and sustainable finance.
Multi-year CO2 budgets in South African semi-arid Karoo ecosystems
under different grazing intensities

Abstract. Climatic and land management factors, such as water availability and grazing intensity, play an important role in seasonal and annual variability of the ecosystem–atmosphere exchange of CO2 in semi-arid ecosystems. However, the semi-arid South African ecosystems have been poorly studied. Four years of measurements (November 2015–October 2019) were collected and analysed from two eddy covariance towers near Middelburg in the Karoo, Eastern Cape, South Africa. We studied the impact of grazing intensity on the CO2 exchange by comparing seasonal and interannual CO2 fluxes for two sites with almost identical climatic conditions but different intensity of current and historical livestock grazing. The first site represents lenient grazing (LG) and the vegetation comprises a diverse balance of dwarf shrubs and grasses, while the second site has been degraded through heavy grazing (HG) in the past but then rested for the past 10 years and mainly consists of unpalatable grasses and ephemeral species. Over the observation period, we found that the LG site was a considerable carbon source (82.11 g C m−2), while the HG site was a slight carbon sink (−36.43 g C m−2). The annual carbon budgets ranged from −90 ± 51 g C m−2 yr−1 to 84 ± 43 g C m−2 yr−1 for the LG site and from −92 ± 66 g C m−2 yr−1 to 59 ± 46 g C m−2 yr−1 for the heavily grazed site over the four years of eddy covariance measurements. The significant variation in carbon sequestration rates between the last two years of measurement was explained by water availability (25 % of the precipitation deficit in 2019 compared to the long-term mean precipitation). This indicates that studied ecosystems can quickly switch from a considerable carbon sink to a considerable carbon source ecosystem. Our study shows that the CO2 dynamics in the Karoo are largely driven by water availability and the current and historical effects of livestock grazing intensity on aboveground biomass (AGB). The higher carbon uptake at the HG site indicates that resting period after overgrazing, together with the transition to unpalatable drought-tolerant grass species, creates conditions that are favourable for carbon sequestration in the Karoo ecosystems, but unproductive as Dorper sheep pasture. Furthermore, we observed a slight decrease in carbon uptake peaks at the HG site in response to resuming continuous grazing (July 2017).
A Novel Electromagnetic Flowmeter for Liquid Metal of Nuclear Reactors

Electromagnetic flowmeters (EMFM) play an important role in the cooling process of nuclear reactors, especially when the coolant is liquid metal. According to the working principle of the electromagnetic flowmeter, it is necessary to use a large-sized magnet to provide a uniform magnetic field, but this is very difficult for a core with limited space. This paper proposes a novel electromagnetic flowmeter with a single cylindrical permanent magnet. Compared with the conventional flowmeter, the volume of this electromagnetic flowmeter is greatly reduced. This paper perfects the theory of this single magnet flowmeter and compares it with the experimental results.
Advancing basic and preclinical spine research: Highlights from the ORS PSRS 5th International Spine Research Symposium

The fifth biennial ORS PSRS International Spine Research Symposium took place from November 3 to 7, 2019, at Skytop Lodge in northeastern Pennsylvania. Organized jointly by the Orthopaedic Research Society and the Philadelphia Spine Research Society, the symposium attracted more than 180 participants from 10 different countries to share the latest advances in basic and preclinical spine research. Following the symposium, participants were invited to submit full‐length manuscripts to this special issue of JOR Spine.
Isolation and characterization of twelve polymorphic microsatellite markers in the endangered Hopea hainanensis (Dipterocarpaceae)

Abstract Microsatellite markers were isolated and characterized for Hopea hainanensis Merrill & Chun, an endangered tree species with scattered distribution in Hainan Island and northern Vietnam. Twenty‐six microsatellite markers were developed based on next‐generation sequencing data and were genotyped by capillary electrophoresis on an ABI 3730xl DNA Analyzer. Twelve markers were found to be polymorphic in H. hainanensis. GENODIVE analyses indicated that the number of alleles ranged from 2 to 6 per locus, and the observed and expected heterozygosity varied from 0 to 0.755 and from 0.259 to 0.779, respectively. Primer transferability was tested with Hopea chinensis Hand. ‐Mazz. and Hopea reticulata Tardieu, in which 3 and 7 microsatellite markers were found to be polymorphic, separately. The results showed that H. reticulata and H. hainanensis had similar levels of genetic diversity. A neighbor joining dendrogram clustered all individuals into two major groups, one of which was exclusively constituted by H. hainanensis, while the other consisted of two subgroups, corresponding to H. reticulata and H. chinensis, respectively. The 12 polymorphic microsatellite markers could be applied to study genetic diversity, population differentiation, mating system, and fine‐scale spatial genetic structures of H. hainanensis as well as its close relatives, facilitating the conservation and restoration of these endangered but valuable Hopea species.
High density and high aspect ratio solid micro-nanoprojection arrays for targeted skin vaccine delivery and specific antibody extraction

We introduce and describe a methodology for fabricating high-density and high aspect ratio micro-nanoprojection arrays—and further demonstrate the utility of these devices in targeting the skin for two different healthcare applications. The key to achieving the unprecedented high projection density (>20 000 cm−2) is the use of a controlled mixed plasma in a DRIE process, producing long, tapered tips without limiting the overall feature density. With a tailored process we produce structures of tuneable shape and height, with high uniformity across the face of silicon wafers. We show that these devices are suitable for both biological delivery and biomarker-specific extraction applications.