nils-herrmann/clean_scirepeval huggingface dataset:
Drawing (on) women's military experiences and narratives Israeli women soldiers' challenges in the military environment
Year: 2017

This article utilizes arts based methods as a feminist methodology for understanding women's experiences in military service, according to theories of feminist security studies. It explores how non combatant women in the army retrospectively narrate stressful situations that happened during their military service. Using arts based methods, we examine how they derive meaning from their experiences in a masculine, military environment, affected by ongoing conflict. This article analyzes twenty images drawn by Israeli women who served in the army in the previous 2 4 years. The women drew a stressful event from their military service, explained the image, and elaborated on how they coped with the situation. A content analysis of the pictures and the narratives produced three themes: the responsibility for others in life threatening situations, the military as a first professional work experience and the interaction between military and gender hierarchies. In general, women soldiers experienced the army as complex as they encountered their first adult work space in which they learned responsibility and skills of the 'adults' world' However, they were also exposed to a rigid hierarchy and to stressful security situations typical of army contexts. While non combat women soldiers were allegedly protected from the violence of the army, they are also indirectly exposed to the danger inherent in an army context. This analysis goes beyond the hero narrative, and moves into taboo territories of young women's narratives and experiences in the military.
Tratamiento tributario del IVA en una empresa de comercializacion de neumaticos
Year: 2019

La presente investigaciA3n tiene como objetivo analizar los procedimientos para la determinaciA3n y pago del Impuesto al Valor Agregado (IVA) en una empresa de comercializaciA3n de neumAiticos que, para efectos de este trabajo se denominA3 MEGALLANTAS S.A. la misma que tiene representaciA3n en la ciudad de Guayaquil aEUR" Ecuador. La problemAitica surge debido a las inconsistencias que se han presentado en la declaraciA3n del IVA, la cual se originA3 por causas relacionadas a errores en la aplicaciA3n de la normativa tributaria, falta de polAticas de control y necesidad de capacitar al personal del Airea contable; situaciA3n que ha tenido como consecuencia el pago de altas multas e intereses por motivo de entrega tardAa de las declaraciones al Servicio de Rentas Internas (SRI) Para llevar a cabo esta investigaciA3n se revisaron los procesos internos de la compaA+ Aa a fin de diagnosticar la forma en que se maneja la informaciA3n contable; ademAis se revisaron los procesos de auditorAa ligados a la declaraciA3n del IVA pagado e IVA cobrado, asA como las retenciones de IVA; luego, se hizo una encuesta y entrevista que ayudo a evaluar el nivel de conocimiento que posee el personal sobre el aspecto tributario; y finalmente, se propusieron polAticas y procedimientos que ayuden a determinar el pago correcto del IVA, lo cual podrAa significar un ahorro importante para la empresa, tanto en ahorro de recursos por evitar pago en exceso de impuestos, asA como omisiA3n de las multas e intereses.
Investigation into the Predictive Capability of Macro Economic Features in Modelling Credit Risk for Small Medium Enterprises
Year: 2016

This research project investigates the predictive capability of macro economic features in modelling credit risk for small medium enterprises (SME/SMEs) There have been indications that there is strong correlation between economic growth and the size of the SME sector in an economy. However, since the financial crisis and consequent policies and regulations, SMEs have been hampered in attempts to access credit. It has also been noted that while there is a substantial amount of credit risk literature, there is little research on how macro economic factors affect credit risk. Being able to improve credit scoring by even a small amount can have a very positive effect on a financial institution's profits, reputation and ability to support the economy. Typically, in the credit scoring process two methods of scoring are carried out, application scoring model and behavioural scoring model. These models for predicting customers who are likely to default usually rely upon financial, demographic and transactional data as the predictive inputs. This research investigates the use of a much coarser source of data at a macro economic level by a low level and high level regions in Ireland. Features such as level of employment/unemployment, education attainment, consumer spending trends and default levels by different banking products will be evaluated as part of the research project. In the course of this research, techniques and methods are established for evaluating the usefulness of macro economic features. These are subsequently introduced into the predictive models to be evaluated. It was found that while employing coarse classification and subsequently choosing the macro economic features with the highest information value in the predictive model, the accuracy across all performance measures improved significantly. This has proven that macro economic features have the potential to be used in modelling credit risk for SMEs in the future.
Mechanisms of clathrin mediated endocytosis
Venue: Nature Reviews Molecular Cell Biology
Year: 2018

Clathrin mediated endocytosis is a key process in vesicular trafficking that transports a wide range of cargo molecules from the cell surface to the interior. Clathrin mediated endocytosis was first described over 5 decades ago. Since its discovery, over 50 proteins have been shown to be part of the molecular machinery that generates the clathrin coated endocytic vesicles. These proteins and the different steps of the endocytic process that they mediate have been studied in detail. However, we still lack a good understanding of how all these different components work together in a highly coordinated manner to drive vesicle formation. Nevertheless, studies in recent years have provided several important insights into how endocytic vesicles are built, starting from initiation, cargo loading and the mechanisms governing membrane bending to membrane scission and the release of the vesicle into the cytoplasm.
The Role of Procalcitonin in the Diagnosis of Meningitis: A Literature Review
Venue: Journal of clinical medicine
Year: 2018

To review the current published literature on the use of procalcitonin as a diagnostic and prognostic marker in adult patients with meningitis.  We conducted a PubMed search to identify all relevant publications regarding the diagnostic and prognostic value of serum procalcitonin in patients with a known or suspected central nervous system infection. We also reviewed the bibliographies of all identified manuscripts in an attempt to identify additional relevant references.  A significant body of evidence suggests that serum procalcitonin has a promising role and can be a useful biomarker in the assessment of patients with meningitis.  Our literature review suggests that data on the role of Cerebrospinal Fluid (CSF) procalcitonin are limited, whereas serum procalcitonin (S PCT) is probably a useful tool in the evaluation of patients with a known or suspected central nervous system infection and can help distinguish between bacterial and viral meningitis.
Mineralogical, geochemical, and textural indicators of crystal accumulation in the Adamello Batholith (Northern Italy)
Year: 2017

In this study, we quantitatively investigate crystal melt segregation processes in two upper crustal, intermediate to silicic plutons from the Tertiary Adamello Batholith, Italian Alps, by combining (1) an estimation of the amount of crystallized interstitial liquid using cathodoluminescence images, phase maps, and mass balance calculations with (2) quantification of crystal preferred orientation using electron backscatter diffraction. Cathodoluminescence images, phase maps, and plagioclase profiles are used together to distinguish early grown primocrysts from overgrowths formed after the rheological "lock up" of the magma bodies. Mass balance calculations, taking into account mineral compositions and bulk rock chemistry, are used as an additional means to quantify the amount of trapped melt. The following features are indicative of crystal accumulation (or melt loss) in some parts of the batholith: (1) The amount of crystallized interstitial liquid can be low and negatively correlated with crystal (and shape) preferred orientations. Locally, up to ca. 27% melt may have been lost. (2) Significant intracrystalline deformation in plagioclase (up to ca. 13deg of lattice distortion) is present in strongly foliated samples, resulting from compaction in a highly crystalline mush. These mineralogical and textural features indicative of variability in the degree of crystal accumulation in some areas of the Adamello batholith may explain the highly scattered bulk rock geochemical patterns (particularly in trace elements) However, the precise quantification of the amount of melt loss remains challenging in felsic plutons, because of the compositional deviation from liquid lines of descent due to multi scale variations in the degree of crystal melt segregation and the fact that magmatic textures indicative of crystal accumulation can be subtle.
Practice provider and patient level facilitators of and barriers to HPV vaccine promotion and uptake in Georgia: a qualitative study of healthcare providers' perspectives.
Venue: Health education research
Year: 2020

Georgia experiences higher human papillomavirus (HPV) associated cancer burden and lower HPV vaccine uptake compared with national estimates. Using the P3 model that concomitantly assesses practice provider and patient level factors influencing health behaviors, we examined facilitators of and barriers to HPV vaccine promotion and uptake in Georgia. In 2018, we conducted six focus groups with 55 providers. Questions focused on multilevel facilitators of and barriers to HPV vaccine promotion and uptake. Our analysis was guided by the P3 model and a deductive coding approach. We found that practice level influences included organizational priorities of vaccinations, appointment scheduling, immunization registries/records, vaccine availability and coordination with community resources. Provider level influences included time constraints, role, vaccine knowledge, self efficacy to discuss HPV vaccine and vaccine confidence. Patient level influences included trust, experiences with vaccine preventable diseases, perceived high costs, perceived side effects and concerns with sexual activity. Findings suggest that interventions include incentives to boost vaccine rates and incorporate appointment scheduling technology. An emphasis should be placed on the use of immunization registries, improving across practice information exchange, and providing education for providers on HPV vaccine. Patient provider communication and trust emerge as intervention targets. Providers should be trained in addressing patient concerns related to costs, side effects and sexual activity.
A scalable security model based on role control for distributed file system
Venue: 2012 International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP)
Year: 2012

Recently, the secure model defined in OSD standard, Maat secure models and secure model for Lustre are applied to distributed file system. These models are capacity based models, which use symmetric key and certificate security technology. When the number of files becomes huge, a large number of capacity tickets are required and the performance will decrease. In this paper, we design a new secure model based on role and secure domain, and finally realize it in Ceph file system. The result shows that it is scalable and high performance.
Data Mining Models Applied in Prediction of IVF Success Rates: An Overview
Year: 2020

IVF success rates can be increased by the analysis of multiple factors related to the process. The automated systems which take these multiple factors as input and produce prediction as output are the need of the hour in IVF research area. The automated systems include mechanism for pre processing of input metrics and prediction stage that is built using algorithms such as decision trees, naive Bayes classifiers, case based reasoning system, logistic regression, etc. In recent years, Artificial Neural Networks (ANN) and hybrid methods are also in use for IVF success rate prediction. There exists lot of literature in the area of IVF success rate prediction. Analyzing the works done so far can help the researchers to identify the research gap and work toward more efficient methods. This work is aimed to present a detailed review of existing techniques applied for the prediction of IVF success rates. Various techniques used so far have been discussed in detail. The drawback of each of the methods is identified which provides the key for future researches in this area. This area has been chosen considering the challenge and social relevance.
La investigacion sobre responsabilidad social empresarial en las universidades ecuatorianas. Un estudio bibliometrico.
Year: 2020

El concepto de Responsabilidad Social Empresarial tuvo su origen en 1953 cuando Howard Bowen plantea por primera vez cuales son las responsabilidades de los empresarios, pero fue Drucker quien busca proponer que los negocios deben convertir la responsabilidad social en oportunidades de negocio. El objetivo de la investigacion es: realizar un analisis bibliometrico sobre el estado de investigaciones de responsabilidad social empresarial en las universidades ecuatorianas. Se evidencio que la mayor cantidad de trabajos de investigacion se han elaborado en Universidades privadas de la Region Sierra.
Blockchains and Smart Contracts for the Internet of Things
Venue: IEEE Access
Year: 2016

Motivated by the recent explosion of interest around blockchains, we examine whether they make a good fit for the Internet of Things (IoT) sector. Blockchains allow us to have a distributed peer to peer network where non trusting members can interact with each other without a trusted intermediary, in a verifiable manner. We review how this mechanism works and also look into smart contracts scripts that reside on the blockchain that allow for the automation of multi step processes. We then move into the IoT domain, and describe how a blockchain IoT combination: 1) facilitates the sharing of services and resources leading to the creation of a marketplace of services between devices and 2) allows us to automate in a cryptographically verifiable manner several existing, time consuming workflows. We also point out certain issues that should be considered before the deployment of a blockchain network in an IoT setting: from transactional privacy to the expected value of the digitized assets traded on the network. Wherever applicable, we identify solutions and workarounds. Our conclusion is that the blockchain IoT combination is powerful and can cause significant transformations across several industries, paving the way for new business models and novel, distributed applications.
The Mask of Sanity
Venue: BMJ British Medical Journal
Year: 2012

It would be an understatement to say that The Mask of Sanity is one of the most important books in the discipline of psychopathy. This book not only inspired clinicians, but provided momentum for research into people whom before its publication had mostly been neglected by researchers. The public is fascinated by so called psychopaths; a quick peek at the bestseller list will attest to this. Yet this book is much more entertaining than these novels of murder and mayhem. In addition, readers benefit from the clinical observations of one of the foremost psychiatrists of his
The Effect of Use of a Sonic Power Toothbrush and a Manual Toothbrush Control on Plaque and Gingivitis.
Venue: The Journal of clinical dentistry
Year: 2017

To compare the ability of the Philips Sonicare DiamondClean power toothbrush and the ADA Reference manual toothbrush to reduce plaque and gingival inflammation by routine manual toothbrush users.  This was a randomized, single blind, parallel design study. Eligible subjects were generally healthy non smokers who exhibited mild to moderate gingivitis upon study entry. Enrolled subjects were randomly allocated to commence twice daily home use of either a Philips Sonicare DiamondClean (DiamondClean) power toothbrush or an ADA reference manual toothbrush (MTB) for a period of four weeks. Clinical safety and efficacy were assessed after a two and four week period of home use. Statistical analysis was performed for the modified intent to treat (mITT) population using a mixed model with the Baseline score as a covariate.  A total of 182 volunteers were screened, 144 (72 per treatment) were randomized, and 142 subjects completed this study. Following four weeks of use, the Least Square (LS) Mean SE) percent reduction in surface plaque was 34.9% (1.8) for DiamondClean and 8.0% (1.7) for MTB, (p 0.0001) At the same four week time point, the LS Mean (SE) percent reduction in gingival inflammation for DiamondClean was 25.5% (1.9) and 19.1% (1.9) for MTB (p 0.0213) For gingival bleeding, the LS Mean (SE) percent reduction in sites with gingival bleeding for DiamondClean was 57.4% (3.06) and 31.4% (3.04) for MTB (p 0.0001) CONCLUSIONS The Philips Sonicare DiamondClean power toothbrush was statistically significantly more effective than a manual toothbrush in reducing supragingival plaque, gingival inflammation, and gingival bleeding following a four week period of home use. Both products were safe for home use.
Inverse fixed energy scattering problem for the two dimensional nonlinear Schrodinger operator
Year: 2014

This work studies the direct and inverse fixed energy scattering problem for the two dimensional Schrodinger equation with a rather limited nonlinear index of refraction. In particular, using the Born approximation, we prove that all singularities of the unknown compactly supported potential belonging in can be obtained uniquely by the scattering data with fixed positive energy. The proof is based on the new estimates for the Faddeev Green's function in The main achievement here is the computation of the Born approximation, which is carried out using the total variation regularization method. Numerical examples with noisy data are given to illustrate the effectiveness of the method.
Real Time Brand Reputation Tracking Using Social Media
Year: 2021

How can we know what stakeholders think and feel about brands in real time and over time? Most brand reputation measures are at the aggregate level (e.g. the Interbrand "Best Global Brands" list) or rely on customer brand perception surveys on a periodical basis (e.g. the Y&R Brand Asset Valuator) To answer this question, brand reputation measures must capture the voice of the stakeholders (not just ratings on brand attributes) reflect important brand events in real time, and connect to a brand's financial value to the firm. This article develops a new social media based brand reputation tracker by mining Twitter comments for the world's top 100 brands using Rust Zeithaml Lemon's value brand relationship framework, on a weekly, monthly, and quarterly basis. The article demonstrates that brand reputation can be monitored in real time and longitudinally, managed by leveraging the reciprocal and virtuous relationships between the drivers, and connected to firm financial performance. The resulting measures are housed in an online longitudinal database and may be accessed by brand reputation researchers.
Change the Annual Amplitude of Sea Surface Temperature due to Climate Change in a Recent Decade around the Korean Peninsula
Year: 2020

We examined long term variations in sea surface temperature (SST) and annual amplitudes of SST around the Korean Peninsula. Two SST data sets with data periods of approximately 51 years and longer than 100 years, respectively, were obtained from the National Institute of Fisheries Science and Japan Meteorological Agency. SST of Korean waters clearly increased during last 51 years (1968 2018) which was 2.5 times higher than the global trend. This significant increasing trend was caused by the dominant increasing SST trend during winter. However, a negative and positive SST anomaly frequently appeared during winter and summer, respectively, in a recent decade. These features of seasonal SST variation have changed the annual amplitude of SST, and resulted in a drastically increasing trend after 2009. Using the longer SST data set, it was revealed that the decreasing SST trend in winter began in the 2000s and the increasing SST trend in summer bagan in the 1990s. During a recent decade, there was a distinctive SST increase in summer, whereas a clear decrease in winter. In summary, the annual amplitude of SST around the Korean Peninsula significantly changed from a decreasing trend to an increasing trend during a recent decade.
Safety and Efficacy of Intermittent High Dose Liposomal Amphotericin B Antifungal Prophylaxis in Haemato Oncology: An Eight Year Single Centre Experience and Review of the Literature
Venue: Journal of fungi
Year: 2020

Triazoles remain first line agents for antifungal prophylaxis in high risk haemato oncology patients, but their use is increasingly contraindicated due to drug drug interactions and additive toxicities with novel treatments. In this retrospective, single centre, observational study, we present our eight year experience of antifungal prophylaxis using intermittent high dose liposomal Amphotericin B (L AmB) All adults identified through our Antifungal Stewardship Programme as receiving L AmB prophylaxis at 7.5 mg/kg once weekly between February 2012 and January 2020 were included. Adverse reactions, including infusion reactions, electrolyte loss, and nephrotoxicity, were recorded. 'Breakthrough' invasive fungal infection (IFI) occurring within four weeks of L AmB was classified using European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group and the National Institute of Allergy and Infectious Diseases Mycoses Study Group (EORTC/MSG) criteria. Moreover, 114 courses of intermittent high dose L AmB prophylaxis administered to 92 unique patients were analysed. Hypokalaemia was the most common grade 3 4 adverse event, with 26 (23% courses. Grade 3 nephrotoxicity occurred in 8 (7% and reversed in all six patients surviving to 90 days. There were two (1.8% episodes of breakthrough IFI, one 'probable' and one 'possible' In this study, the largest evaluation of intermittent high dose L AmB prophylaxis conducted to date, toxicity was manageable and reversible and breakthrough IFI was rare. L AmB prophylaxis represents a viable alternative for patients with a contraindication to triazoles.