Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact assessment of innovation tax incentives in Brazil

PurposeThis paper evaluates the effects of tax incentives on business innovation in Brazil that were established by Law 11,196/05 (the “Fiscal Incentives Law”) to test whether they have had a positive impact on beneficiary firms' innovation input and output and on their performance.Design/methodology/approachThe policy impacts are estimated using microdata on 13,706 firms available in the 2008 and 2011 editions of the Brazilian Innovation Survey (PINTEC) and by applying propensity score matching with difference-in-differences.FindingsThe results suggest a positive and statistically significant impact of the policy on research and development (R&D) expenditures (average of approximately US$ 264,000 in 2011), the number of research staff (average of five researchers) and total employment (approximately 5% of the beneficiary firms' mean size). However, no impact was found on the overall spending on innovative activities, the percentage of sales and exports from new products, net revenue or net revenue per employee.Practical implicationsThe findings provide empirical support in favor of tax incentives as a policy tool to boost business innovation in the country. However, the absence of significant effects on innovative activities expenditures and on most indicators of innovation output and firms' performance reveals shortcomings of the policy that need to be addressed.Originality/valueThe study complements and advances the findings of previous studies by assessing policy impact on total innovative activities expenditures and on innovation output and firm performance.
Friction Prediction and Validation of a Variable Stiffness Lower Limb Exosuit Based on Finite Element Analysis

The variable stiffness exosuit has great potential for human augmentation and medical applications. However, the model of the variable stiffness mechanism in exosuits is far from satisfactory for the accurate prediction and control of friction force. This paper presents a friction prediction model of a variable stiffness lower limb exosuit, verifies its prediction performance, and identifies its applicability. The friction force model was established by the Coulomb friction hypothesis. The equivalent coefficient, which is the core parameter of the model, was determined based on friction and squeezing force data obtained by tests and an ANSYS simulation. Experiments show that the prediction error of the proposed model can reach 15% with a proper structural dimension change constraint. The friction force control test showed that the achieved model can shorten the settling time of the step response by 26% and eliminate the steady-state error. Verifications indicate that the proposed method can provide guidance to the modeling of other friction/stiffness structures, especially friction-based wearable robot structure models and predictions.
ELABORAÇÃO DO BALANCED SCORECARD ALINHADO AOS OBJETIVOS DA UNIVERSIDADE FEDERAL DE SANTA CATARINA: UM ESTUDO DE CASO NA EDITORA DA UFSC

Propor painel de desempenho, pelo instrumento Balanced Scorecard, para a Editora da Universidade Federal de Santa Catarina com medidas alinhadas aos objetivos da Plano de Desenvolvimento Institucional (2015-2019). Por isso, foi necessário organizar por meio dos objetivos específicos, como: operacionalizar a estratégia; integrar o Plano de Desenvolvimento Institucional com os objetivos estratégicos; e elaborar o painel de desempenho. O mapa estratégico e o Balanced Scorecard foram configurados mediante às interações com os gestores da Editora, por meio de entrevistas, questionários e observações do cotidiano da Editora, em seus setores. Os resultados mostram a integração e o alinhamento institucional, por meio do mapa estratégico e elaboração do painel de desempenho do Balanced Scorecard, como também o refinamento do Balanced Scorecard. A observação estratégica da Editora da Universidade Federal de Santa Catarina proporcionou a identificação das perspectivas de clientes, processos internos e aprendizado e crescimento. Essas perspectivas se delineiam em 11 objetivos estratégicos que formam os 13 indicadores de desempenho, é identificada a situação atual, das metas, e a iniciativa para atingir as metas estabelecidas. Foi identificado que a Editora, no ponto inicial da pesquisa, obtinha o resultado do desempenho negativo em 6 pontos, pois não tinha, efetivamente, um modelo que alinhasse a sua estratégia a suas metas e iniciativas. Porém, com o acompanhamento de, aproximadamente, um ano pelo pesquisador, que faz parte do operacional da instituição, e a aplicação do modelo Balanced Scorecard, ao qual sugere-se em seu desenvolvimento as metas e iniciativas, o resultado apresentou o desempenho de 86 pontos positivos.
Antigen Presentation of mRNA Based and Viral Vector Corona Vaccines

Infection with Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) causes Coronavirus Disease 2019 (COVID-19), which has reached pandemic proportions. A number of effective vaccines have been produced, including mRNA vaccines and viral vector vaccines, which are now being implemented on a large scale in order to control the pandemic. The mRNA vaccines are composed of the Spike S1 protein encoding mRNA, incorporated in a lipid nanoparticle, stabilized by polyethylene glycol (PEG). mRNA vaccines are novel in many respects, including cellular uptake, the intracellular routing, processing, and secretion of the viral protein. Viral vector vaccines have incorporated DNA sequences encoding the SARS-CoV-2 Spike S1 protein into (attenuated) adenoviruses. The antigen presentation routes in MHC class I and class II, in relation to induction of virus neutralizing antibodies and cytotoxic T-lymphocytes will be reviewed. In rare cases, mRNA vaccines induce unwanted immune mediated side effects. mRNA based vaccines may lead to an anaphylactic reaction. This reaction may be triggered by PEG. The intracellular routing of PEG, and potential presentation in the context of CD1 will be discussed. Adenovirus vector based vaccines have been associated with thrombocytopenic thrombosis events. The anti-platelet factor 4 antibodies found in these patients could be generated due to conformational changes of relevant epitopes presented to the immune system.
THE HYPERMASCULINITY AS SEEN IN THE MAIN CHARACTER IN RAMBO: LAST BLOOD MOVIE

This paper revealed the practice of hypermasculinity through the main character which is Rambo. Therefore, the aims of the writer is to make the reader can see and know the part of themselves in a good way, be a useful person for others, and respects the live of others. In conducting this research, the writer uses a qualitative method since the writer wanted to have an in-depth analysis of the data and Rambo: Last Blood Movie as the source of the data to do the analysis. This research was library research in which the writer acquire the informations by finding relevant journals, books, and visiting reliable websites. The writer uses the theory by Ankita Siddhanta about hypermasculinity in analyzing the data. The finding of this current study shows that there are some characteristics and actions which can be categorized as the practice of hypermasculinity based on the dialogues, scenes, actions of Rambo’s character in the movie. Keywords: Hypermasculinity, rambo, rambo: Last Blood Movie, the writer.
Adventure tourists' electronic word-of-mouth (e-WOM) intention: The effect of water-based adventure experience, grandiose narcissism, and self-presentation

This study aims to empirically examine the effect of tourists’ grandiose narcissism and adventure experiences on their self-presentation and electronic word-of-mouth communication (e-WOM) intention in a water-based adventure tourism setting. Data were collected through a personal-administered survey of 357 tourists who had participated in various water-based adventure activities offered at Kota Kinabalu coastal areas in Sabah, Malaysia. A partial least-square -based structural equation modeling was applied to analyze the data. The results signify that tourists’ water-based adventure experiences had a direct effect on their positive self-presentation and e-WOM intention while tourist grandiose narcissism had an indirect mediating effect on e-WOM intention through positive self-presentation. The findings provide theoretical knowledge in the literature as well as practical implications for tourism managers and practitioners, particularly in water-based adventure tourism settings.
The Spread of Carbapenemase Genes in Klebsiellapneumoniae in Iran: a Systematic Review

Introduction: The emergence and global spread of carbapenemases produced by Klebsiella pneumoniae is a serious problem to health services worldwide. K. pneumoniae, belonging to the Enterobacteriaceae family, is commonly found in the human gastrointestinal tract and environment, especially in the hospital environment. Carbapenem is administered as the first treatment for severe infections created by multi-drug resistant K. pneumoniae. Despite the fact that the carbapenemase-producing K. pneumoniae has become more prevalent in Iran, few investigations have probed into the prevalence of different carbapenemase genes in Iran. Method: The aim of this study was to examine the prevalence of carbapenemase genes in K. pneumoniae from 2010 to 2018 in Iran. PubMed and Scopus databases were searched for the articles published between 2010 and 2018 in Iran. Results: A total of 25 papers published between 2012 and 2018 were selected. The highest frequency of blaNDM, blaIMP, blaVIM, blaKPC and, blaOXA48 genes were related to cities of Shiraz in 2017 [23 (26.14%)], Hamedan in 2017 [2 (50%)], Babol in 2015 [15 (41.66%)], Isfahan in 2013 [65 (44.83%)] and, and Isfahan in 2018 [90 (76.27%)], respectively. The results showed that the frequency of blaNDM, blaOXA48, and blaIMP genes increased in 2017 and 2018, and there was an increase in the frequency of the blaVIM gene in 2014 and 2015, and the blaKPC gene in 2013. The highest percentage of carbapenemases genes isolated in Iran were related to blaKPC [145 (37.08%)], blaOXA48 [118 (30.18%)], and blaNDM [88 (22.51%)], and the lowest percentages were reported in blaIMP [4 (1.02%)], and blaVIM [36 (9.21%)], respectively. Conclusion: The results of our review showed that blaNDM and blaOXA48 carbapenemase genes have been increasing in Iran, and it seems that traveling is one of the most important factors in the transmission of carbapenemase genes.
Brief Communication Phenotype-dependent role of the L-type calcium current in embryonic stem cell derived cardiomyocytes

2+ current (I Ca,L ) plays an important role in cardiac contractility and pacemaking, its role in embryonic stem-cell derived cardiomyocytes (ESC-CMs) has not yet been explored in detail. We used patch- clamp techniques to characterize I Ca,L , action potential properties, and nifedipine (an I Ca,L blocker) sensitivity on spontaneously contracting embryoid bodies (EBs) or isolated ESC-CMs. Cellular preparations exhibited differential sensitivity to nifedipine, with substantial variation in the dose required to abolish automaticity. Isolated ESC-CMs expressing nodal-like action potentials were highly sensitive to nifedipine; 1 nM significantly decreased firing rate, diastolic depolarization rate (DDR), and upstroke velocity, and 10 nM completely abolished spontaneous activity. In contrast, ESC-CMs expressing atrial-like action potentials were relatively nifedipine-resistant, requiring 10 µM to arrest automaticity; 1 µM significantly decreased upstroke velocity while the firing rate and DDR were unaffected. Nodal-like cells exhibited a more negative voltage for half-maximal I Ca activation (-30 ± 1 mV vs. -20 ± 3 mV; p<0.05) and slower inactivation (71 ± 10 ms vs. 43 ± 3 ms; p<0.05) than atrial-like cells. Our data indicate that I Ca,L differen- tially regulates automaticity and chronotropy in nodal-like ESC-CMs, and primarily links excitation to contraction in atrial-like ESC-CMs by contributing to the upstroke phase of the action potential.
Private and public transfers: substitute or complement?

The paper analyzes the relationship between private and public social transfers in Russia. The research relies on the data from the Russian Longitudinal Monitoring Survey (RLMS-HSE) carried out by the Higher School of Economics in 1994–2018. The household is the unit of the analysis, the method of logistic regression is applied. The study has shown that when a household receives public social transfers, it is less likely to receive private transfers. So, the findings appear to bear out the hypothesis that public transfers crowd out private transfers in Russia.
Efecto de los factores climáticos, variedades y densidades de siembra en la dinámica de artrópodos en cultivos de arroz en Yopal-Casanare, Colombia

Se evaluó la diversidad y dinámica poblacional de la artropofauna presente en cultivos de arroz bajo los sistemas de siembra secano y riego, con dos variedades de arroz (Fedearroz 174 y Fedearroz 733) y en tres densidades de siembra (60, 100 y 180 kg/ha) en relación a diferentes variables climáticas. Para la recolección de especímenes, se realizaron 10 pases dobles de red entomológica cada ocho días desde la emergencia hasta el inicio de la fase de maduración del grano. Los morfotipos encontrados fueron identificados y agrupados según su tipo de interacción con el cultivo en chupadores, masticadores, depredadores y parasitoides. Las variables climáticas más relevantes se seleccionaron con un análisis de Random Forest. Se identificaron 126 morfotipos en 12 órdenes. La mayor riqueza se encontró en Hemiptera, Coleoptera y Diptera, así como en el grupo de chupadores. No se encontraron diferencias en la abundancia o riqueza de artrópodos entre variedades o densidades de siembra. El sistema de siembra con riego presentó una mayor abundancia total de artrópodos en comparación con el sistema secano, pero en este sistema hubo una mayor riqueza de especies. Las poblaciones de parasitoides y depredadores se correlacionaron negativamente con los masticadores, pero no se presentó ningún efecto sobre los chupadores. La temperatura y la humedad relativa fueron las variables climáticas de mayor relevancia en la dinámica de los artrópodos. Estos resultados contribuyen para el desarrollo de sistemas de monitoreo y manejo de plagas que tengan en cuenta las dinámicas de interacción entre grupos ecológicos y el efecto del clima local.
Hydro-Meteorological Trends in an Austrian Low-Mountain Catchment

While the ongoing climate change is well documented, the impacts exhibit a substantial variability, both in direction and magnitude, visible even at regional and local scales. However, the knowledge of regional impacts is crucial for the design of mitigation and adaptation measures, particularly when changes in the hydrological cycle are concerned. In this paper we present hydro-meteorological trends based on observations from a hydrological research basin in Eastern Austria between 1979-2019. The analysed state variables include the air temperature, the precipitation, and the catchment runoff. Additionally, trends for the catchment evapotranspiration were derived. The analysis shows that while the mean annual temperature was decreasing and annual temperature minima remained constant, the annual maxima were rising. The long-term trends indicate a shift of precipitation to the summer with minor variations observed for the remaining seasons and at an annual scale. Observed precipitation intensities mainly increased in spring and summer between 1979-2019. The catchment evapotranspiration, computed based on catchment precipitation and outflow, showed an increasing trend for the observed time period.
Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques

Hypertrophic cardiomyopathy (HCM) can lead to serious cardiac problems. HCM is often diagnosed by an expert using cardiovascular magnetic resonance (CMR) images obtained from patients. In this research, we aimed to develop a deep learning technique to automate HCM diagnosis. CMR images of 37421 healthy and 21846 HCM patients were obtained during two years. Images obtained from female patients form 53% of the collected dataset. The mean and standard deviation of the dataset patients’ age are 48.2 and 19.5 years, respectively. Three experts inspected images and determined whether a case has HCM or not. New data augmentation was used to generate new images by employing color filtering on the existing ones. To classify the augmented images, we used a deep convolutional neural network (CNN). To the best of our knowledge, this is the first time CNN is used for HCM diagnosis. We designed our CNN from scratch to reach acceptable diagnosis accuracy. Comparing the designed algorithm output with the experts’ opinions, the method could achieve accuracy of 95.23%, recall of 97.90%, and specificity of 93.06% on the original dataset. The same performance metrics for the designed algorithm on the augmented dataset were 98.53%, 98.70%, and 95.21%, respectively. We have also experimented with different optimizers (e.g. Adadelta and Adagrad) and other data augmentation methods (e.g. height shift and rotation) to further evaluate the proposed method. Using our data augmentation method, accuracy of 98.53% were achieved which is higher than the best accuracy (95.83%) obtained by the other data augmentation methods which have been evaluated. The upper bound on difference between true error rate and empirical error rate of the proposed method has also been provided in order to present better performance analysis. The advantages of employing the proposed method are elimination of contrast agent and its complications, decreased CMR examination time, lower costs for patients and cardiac imaging centers.
Effect of incorporation of highly‐ordered a‐Ge:H nanoparticles on the performance of perovskite solar cells

To improve light absorption, in this study, the narrow band gap highly-ordered free-standing hydrogenated amorphous germanium nanoparticles (a-Ge:H NPs) were introduced into the CH3NH3PbI3−x Cl x films. Here, the NPs were fabricated by means of the radio frequency plasma enhanced chemical vapour deposition system. The effects of hydrogen dilution ratio (RH) on the microstructure and bonding configuration of a-Ge:H NPs were investigated by Raman, transmission electron microscopy and Fourier transform infrared spectroscopy measurements. As RH increases, an improvement in the structure order of a-Ge:H NPs was observed. Compared with the pure CH3NH3PbI3−x Cl x films, the light absorption of the hybrid a-Ge:H NPs/CH3NH3PbI3−x Cl x active layers was improved, and the surface coverage of the hybrid active layers nearly reached 100%. This new finding provided a novel way to solve the universal unfavourable surface coverage problem that existed in the ultrasonic spray-coating process. Meanwhile, compared with the device that is based on pure CH3NH3PbI3−x Cl x films, due to the enhanced light absorption in the visible range, a ∼14.6% enhancement in the power conversion efficiency was achieved based on the hybrid a-Ge:H NPs/CH3NH3PbI3−x Cl x active layers.
Option valuation under double exponential jump with stochastic intensity, stochastic interest rates and Markov regime-switching stochastic volatility

Abstract In this paper, we present a double exponential jump-diffusion option pricing model with stochastic interest rates, stochastic volatility, and stochastic jump intensity. In addition, Markov regime-switching is introduced to modulate the mean-reverting level of the squared volatility. We obtain the analytical pricing formulae for European options under this model. Finally, we use numerical examples to explore the effects of the regime-switching, stochastic jump intensity and the distribution of jump size on the option price or (and) the implied volatility.
Internet of Things: Layers, possible attacks, secure communications, challenges.

The concept of constricting IOT (Internet of Things) system was born for purpose of enhancingquality of life for individuals, improving implementation of works, increasing productivity, anddeliver all services in efficient, and ubiquitous way . The core idea of this technology is to embeddifferent type of sensors along with devices to gather information ,and perform action based onanalysis of that information . This research paper intended to highlight following points: conceptof IOT, how does it work, layers of intelligence system, possible attacks in each layers, and majorchallenges associated with development of IOT along with its potential solution. Finally, it willdiscusses why IOT became common trend for a majority of institutions around world.
Transitioning From Victim to Perpetrator: Testing Direct and Mediation Effects

Some criminologists have focused on understanding the role of childhood experiences on an individual’s likelihood of offending during adulthood. Although research has consistently linked these two phenomena, little is known about the extent to which childhood victimization influences later criminal behavior. The current study analyzed self-reported data to examine the abused–abuser relationship in the context of intimate relationships. Specifically, the study examined the direct effects of victimization across three types of offending, and whether or not individual characteristics in such a relationship were significant mediators. Using a multivariate OLS regression, a significant relationship was observed between childhood victimization and adulthood offending. Likewise, results revealed that individual characteristics significantly mediated this relationship. Policy implications of these observations are discussed.
Innovative Verfahren zur 3‐D‐Bestandsaufnahme an Verkehrswasserbauwerken

Um die Grundlagen für die in diesem Jahrzehnt erforderlichen Bauwerksprüfungs‐, Planungs‐ und Baumaßnahmen für die Infrastruktur im Bereich der Wasserstraßen zu verbessern, wird seit Dezember 2018 das mit Forschungsmitteln des BMVI geförderte Projekt 3D HydroMapper für die Erfassung und Nutzung der 3‐D‐Scandaten von Bestandsbauwerken durchgeführt. Durch 3D HydroMapper sollen neuartige Positionierungs‐ und Routingverfahren in Verbindung mit einer aktiven Objektausrichtung der Sensorik genutzt werden, um BIM‐fähige 3‐D‐Bauwerksdaten zu erzeugen. Erste Ergebnisse zeigen, dass durch die 3‐D‐Aufnahme von Bestandsbauwerken und Baustellen erhebliche Verbesserungen für alle Beteiligten erzielt werden können. Durch die mit einer innovativen Messplattform und einem speziellen Multi‐Sensorsystem aufgenommenen Informationen können den Betreibern, den Planern und den ausführenden Bauunternehmen vollständige, zuverlässige und dreidimensionale Bestandsdaten und die daraus prozessierten Bestandsmodelle zur Verfügung gestellt werden.