Miracle-dz/UniFAR-FTUs huggingface dataset:
The contribution of business dynamics to productivity growth in the Netherlands

This paper analyses the declining firm dynamism in the Netherlands, which may explain part of the slowdown in productivity growth. We use a rich microdata set including nearly all corporations in the Netherlands during 2006-2016, which enables us to evaluate the TFP growth contributions of exiting firms, start-ups and new firms resulting from mergers & acquisitions in different industries. We use a Melitz and Polanec (2015) decomposition to assess TFP growth contributions. We find that in service industries, start-ups, new firms created by M&As and exiting firms all contribute to overall TFP growth, in line with the creative destruction hypothesis. In manufacturing industries, TFP growth is driven mostly by incumbent firms. Here, entry and exit dynamics contribute relatively little or even negatively to TFP growth. In addition, young firms in the manufacturing industries tend to have higher TFP growth than older firms, while in service industries this is not the case. Finally, in general, relatively low productivity entrants are more likely to exit in the first five years after entry, which is in line with an ‘up-or-out’ dynamic.
The Multi-Scale Layering-Structure of Thermal Microscale Profiles

Thermal microstructure profiling is an established technique for investigating turbulent mixing and stratification in lakes and oceans. However, it provides only quasi-instantaneous, 1-D snapshots. Other approaches to measuring these phenomena exist, but each has logistic and/or quality weaknesses. Hence, turbulent mixing and stratification processes remain greatly under-sampled. This paper contributes to addressing this problem by presenting a novel analysis of thermal microstructure profiles, focusing on their multi-scale stratification structure. Profiles taken in two small lakes using a Self-Contained Automated Micro-Profiler (SCAMP) were analysed. For each profile, buoyancy frequency (N), Thorpe scales (LT), and the coefficient of vertical turbulent diffusivity (KZ) were determined. To characterize the multi-scale stratification, profiles of d2T/dz2 at a spectrum of scales were calculated and the number of turning points in them counted. Plotting these counts against the scale gave pseudo-spectra, which were characterized by the index D of their power law regression lines. Scale-dependent correlations of D with N, LT and KZ were found, and suggest that this approach may be useful for providing alternative estimates of the efficiency of turbulent mixing and measures of longer-term averages of KZ than current methods provide. Testing these potential uses will require comparison of field measurements of D with time-integrated KZ values and numerical simulations.
A new algorithm for predicting out‐of‐step condition in large‐scale power systems using rotor speed–acceleration

Summary Transient instability is one of the major threats to system security which can cause out-of-step condition. Out-of-step condition can cause mechanical and thermal damages to generator. Therefore, in the case of out-of-step, early detection and disconnection of generator from grid are very essential. In this paper, by using generator rotor speed–acceleration (ω − α) data obtained from PMU measurements, a new algorithm for predicting out-of-step condition of the generator in large-scale power systems is proposed. The trend of the movement of the (ω − α) locus curve in the plane can give us a measure for predicting and detecting out-of-step condition. The prediction ability of this method enables one for early tripping unstable generator avoiding hazard damages. The proposed algorithm is examined on two networks: IEEE 39 bus system and large-scale Iran power network. The simulation results demonstrate the ability of the proposed algorithm for correct prediction of various unstable power swing conditions with prediction time soon enough compared to the detection time. Copyright © 2015 John Wiley & Sons, Ltd.
Predictors of Deviant Behavior Justification among Muslims: Sociodemographic Factors, Subjective Well-Being, and Perceived Religiousness

Current evidence supports how deviant behavior can be predicted by sociodemographic factors, subjective well-being, and perceived religiousness. However, there is limited research when it concerns specificity such as Muslims justifying deviant behavior, and their subjective well-being and perceived religiousness within a single study. Most studies used Christian population or using a non-denominational approach. Therefore, in this study, data from World Value Survey Wave 6 was used to examine the Muslim population (N = 20,559) and deviant behavior justification. Sociodemographic factors, subjective well-being (life satisfaction, happiness, and state of health), and perceived religiousness (prayer frequency and importance of God in life) were hypothesized as predictors. Results revealed that these hypotheses are supported. However, many of these predictors are weak, having minimal effect. This is with the exception of having the worldview of God being important in one’s life, being both a strong and statistically significant predictor of deviant behavior justification. The more a person views God being important in life, the more it predicts a decrease in deviant behavior justification. This research provides a novel finding on the belief-behavior nexus, specifically concerning Muslims justifying deviant behavior when two forms of perceived religiousness—ritualistic and worldview—are being compared.
Role of NiO Nanoparticles in Enhancing Structure Properties of TiO2 and Its Applications in Photodegradation and Hydrogen Evolution

Pure and modified mesoporous TiO2 nanoparticles with different loadings of NiO (3–20.0 wt %) were prepared through the surfactant-assisted sol–gel approach with the use of cetyltrimethylammonium bromide as a template. The optical and structural properties of different samples were examined using N2 adsorption–desorption analysis, energy-dispersive spectroscopy, scanning electron microscopy, transmission electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, UV–vis spectroscopy, Fourier transform infrared spectroscopy, and photoluminescence (PL) spectroscopy. X-ray diffraction results confirmed the insertion of Ni2+ into the lattice of TiO2, and the crystallite size reduced remarkably after the addition of NiO. The diffuse reflectance spectroscopy spectra displayed obvious red shift in the absorption edges, and new absorption bands appeared in the visible region when NiO was added, which indicates the formation of surface defects and oxygen vacancies. The optical band gap of TiO2 reduced sharply when the contents of NiO were increased. The increase in the surface defects as well as oxygen vacancies were examined using PL spectroscopy. The photocatalytic performance of the as-synthesized samples was investigated over photodegradation of brilliant green (BG) and phenol and hydrogen generation under visible light. 10% NiO/TiO2 exhibited the highest photocatalytic efficiency. The photocatalytic activity was improved due to the creation of a p–n junction at the interface of NiO/TiO2, which efficiently promotes the separation of photogenerated electron/hole pairs and consequently enhances its photodegradation activity. According to the photocatalytic activity results, NiO contents were considered one of the most important factors affecting the photodegradation of BG and phenol and H2 evolution. Also, we discussed the mechanism of photodegradation, mineralization (total organic carbon), and photocatalytic reaction kinetics of BG and phenol.
The 'twelfth man' in the cyber stands : exploring football fan discourse and the construction of identity on online forums

Some football fans go to matches, but what do others do? This thesis examines online football fan forums in order to explore the construction of fan identities and positions. By implementing a cyberethnographical approach supplemented by online interviews with fans, it explores how football fan communities operate, discussing aspects of forum management, control and hierarchies, all the while illustrating how these factors contribute to the development of individual and collective identities. In considering this, it presents football fans as inhabiting a multitude of complex positions, taking into account arguments of 'active' and 'passive' fandom and the importance of fan status (Hills, 2002.) I argue that that there has been a significant lack of research into 'everyday' football fandom, with both the mainstream media and academic perspectives preferring to focus on the extraordinary instances of performance and behaviour, which, I further argue, are simplistic in their treatment of fans. Mainstream media representations are addressed; with the latter sections of the thesis illustrating that discourses produced by fans themselves often contrast significantly with dominant narratives at play in the news media. The football fan is found to demonstrate articulate consideration for his/her own position, with this being frequently determined by the overriding importance of the team's success and the part that the fan plays in this. This is particularly apparent when considering national and regional allegiances, and how these can be seen to present regular areas of conflict in regards to dominant affiliation, yet all the while contributing to the fan's position as an extension of the football club.
Predictors of Citation Rates in High-Impact Glioblastoma Clinical Trials

Clinical trials are at the top of research study designs and tend to attract high citation numbers. Glioblastoma multiforme (GBM) is a multidisciplinary disease that continues to be the subject of peak research interest. In general, the literature relating to the predictors of citation rates in clinical trials remains limited. This review aims to identify the factors that influence citation numbers in high-impact GBM clinical trials. The 100 most cited GBM trials of any phase published from 1975 to 2019 were selected and reviewed. The primary analysis correlated citation numbers of articles with various trial and publication-related predictors using the Pearson correlation coefficient. The secondary analysis compared the mean citation numbers for different subgroups using the mean difference test. The median (range) citation number for the selected 100 trials was 349 (135-16,384). The primary analysis showed a significant correlation between citation numbers of articles and the study population (P = 0.024), trial phase (I-III) (P = 0.0427), and the impact factor (IF) of the journal (P < 0.0001). The secondary analysis demonstrated significantly higher mean citation numbers in all trials with the following features: study population ≥115 (P = 0.0208), phase III (P = 0.0372), treatment protocol including radiotherapy (P = 0.0189), temozolomide (TMZ) therapy (P = 0.0343), IF of the journal ≥14.9 (P = 0.02), and general medical journals (P = 0.28). We conclude that the most significant predictors of citation rates in high-impact GBM trials were the study population, trial phase, and journal’s IF. The treatment protocol was a positive predictor when it included the currently widely accepted treatment modalities (radiotherapy and TZM). Randomization, age of publication, as well as the numbers of arms, authors, centers, countries, and references were not significant predictors. Increasing awareness of the factors that could affect citations may help researchers undertaking clinical trials to enhance the academic impact of their work.
Factors Affecting Short-term Solvency of Securities Companies: The Case of Vietnam

A linear regression model supplied in the form of two-dimensional array data was used to investigate the factors affecting the short-term solvency of Vietnamese securities companies. The data is examined with 48 securities companies from 2012 to 2019. The study employed STATA 14 software to evaluate and select regression models, test, and estimate regression models using array data from 235 observations. The findings revealed four characteristics that influence the short-term solvency of securities businesses in Vietnam: the size of the securities company and the quick ratio have a positive impact. In contrast, the debt ratio and the working capital turnover period have a negative effect.
Obsession with COVID-19 among health care providers

Objectives: The present study aims to assess the obsession among health care providers during the pandemic of COVID-19. Methodology: a descriptive design used in the present study established was for a period from October 10th, 2020 to May 20th, 2021. The study was conducted on a probability (convenient) sample of 248 physicians and nurses who work at Baghdad Teaching hospital in Baghdad city. The study was conducted with a sample size (N=248) including both males (128) and females (120). The instruments of the study are adopted the Obsession with COVID-19 Scale (OCS). Results: The result of Presented study showed that 80.6% of health care providers had probable dysfunctional thinking about COVID-19 and 19.4 % of them have problematic symptoms. Conclusions: Healthcare providers have more interaction with patients and are more likely to suspect COVID-19 infection. Recommendations: focused on increasing the awareness of infection prevention and control and personal protection abilities, hospitals must offer a safe working environment and adequate protective supplies, as well as employees accountable for ongoing infection prevention and control training, monitoring, and supervision.
Secondary air interaction with main flow in axial turbines

Secondary air, known as purge air, is injected through seals in the hub and shroud of axial turbines to prevent hot gas ingestion into the endwall cavities. An investigation into the interaction of purge flow with turbine main flow has been undertaken, to determine where losses are generated, how they are generated, and what are the most effective ways for reducing them. The effect of purge flow design on the system’s susceptibility to ingestion was also studied. Tools developed for accomplishing these objectives include: a consistent framework for isolating entropy generated due to viscous effects, a procedure for factoring out individual loss categories, and a linear model for secondary air flow response to the main flow pressure field. These tools, applied to steady computations, elucidate four routes through which change in loss generation is brought about by purge air injection: a shear layer between purge and main streams, modification of the secondary flow through the blade passage, an increase in degree of reaction, and the potential for reducing tip clearance flow (for the case of purge flow injected from the shroud). It was further determined that purge air mass flow and swirl velocity are effective parameters for mitigating loss, with a potential for 70% reduction in purge flow losses. By contrast, purge slot axial inclination and gap width do not affect the loss characteristics of purge flow by more than 6%. The benefit of pre-swirling purge flow can be negated by decreased sealing effectiveness, if ingestion is driven by the pressure non-uniformity associated with the rotor upstream influence. However for a representative vane-rotor stage, in which the vane-induced circumferential pressure non-uniformity dominates in the intra vane-rotor gap, pre-swirling purge flow can be beneficial to deterring hot gas ingestion. Finally a framework has been formulated for assessing the time-averaged impact of unsteady vane-rotor interaction on purge flow-induced loss generation. Preliminary results suggest that flow unsteadiness can result in substantially higher losses associated with purge flow injection. Thesis Supervisor: Choon S. Tan Title: Senior Research Engineer of Aeronautics and Astronautics
Iranian English Major vs. Subject-matter ESP Teachers‘ Beliefs andInstructional Practices in ESP Classes: A Comparative Study

Since the advent of English for Specific Purposes (ESP), plenty of controversial issues have been raised in the academic circles all over the world. As we know, one controversial aspects of ESP domain deals with the significant role of the teacher variable. In the present study, the investigators intended to compare and contrast Iranian English major ESP instructors with their subject-matter counterparts in terms of their beliefs and classroom practices in ESP classes. A total of 423 Iranian English major (ELT) and subject-matter ESP teachers participated in the study. The results revealed that theoretically a large and wide gap exists between English major and subject-matter ESP teachers while practically this difference is very slight.
Geographic Distribution and Influencing Factor Analysis of Green Residential Buildings in China

Green residential buildings (GRBs) are an important part of the concept of green building. Although green buildings are well studied for geographic distribution and influencing factors, GRBs have not been fully explored or widely noted by parties involved in the building sectors. In this paper, we study the geographic distribution and influencing factors of 2134 GRBs that met the Green Building Evaluation Standard and obtained a green building logo in 2008–2016 in China. First, we analyze the geographic distribution and spatial correlation of GRBs with different star ratings at the provincial and municipal levels by natural break-point method and Moran’s index. Second, we study the aggregation degree of medium- and high-star GRBs in each province by development concentration index and define 42 leading cities with more favorable levels of GRB development. Third, we analyze the correlation between the GRBs’ number and 18 influencing factors covering the social economy and real estate market in the 42 leading cities. According to the analysis, this paper shows that (1) there are differences in the geographical distribution characteristics of different star green buildings in China. (2) The differences in geographical distribution and the spatial correlation of GRBs are more obvious in the study of municipal administrative division levels. (3) The local commercial residential building prices and the local residents’ economic and social statuses, education levels, and living standards are significantly positively correlated with the grade of GRBs.
Antenna engineering handbook

Introduction to Antennas.Fundamentals of Antennas.Arrays of Discrete Elements.Dipoles and Monopoles.Loop Antennas.Small Antennas.Microstrip Antennas.Slot Antennas.Slot-Antenna Arrays.Leaky-Wave Antennas.Long-Wire Antennas.Surface-Wave Antennas and Surface-Wave Excited Arrays.Helical Antennas.Frequency-Independent Antennas.Horn Antennas.Lens Antennas.Reflector Antennas.Feeds for Lenses and Reflectors.Electromechanical Scanning Antennas.Frequency-Scan Antennas.Phased Arrays.Conformal and Low-Profile Arrays.Adaptive Antennas.Methods of Polarization Synthesis.Low-Frequency Antennas.Medium-Frequency Broadcast Antennas.High-Frequency Antennas.VHF and UHF Communications Antennas.TV and FM Transmitting Antennas.TV Receiving Antennas.Microwave-Relay Antennas, Radiometer Antennas.Radar Antennas.Microwave Beacon Antennas.Tracking Antennas.Satellite Antennas.Earth Station Antennas.Aircraft Antennas.Seeker Antennas.Direction-Finding Antennas and Systems.ECM and ESM Antennas.Radio-Telescope Antennas.Transmission Lines and Waveguide.Impedance Matching and Broadbanding.Radomes. Microwave Propagation.Antenna Measurements.Materials and Design Data.
Carps, Catla catla, Cirrhinus mrigala and Hypophthalmichthys molitrix Are Resistant to Experimental Infection with Tilapia Lake Virus (TiLV)

Tilapia tilapinevirus, also known as tilapia lake virus (TiLV), is an emerging fish virus that primarily affects tilapines. However, the virus has also been detected in a few non-tilapines. As tilapia is generally farmed in polyculture systems along with carps in South Asian countries, there is a likelihood that TiLV-infected tilapia can transmit the virus to the co-cultured species. In view of the above, the susceptibility of three carp species, namely catla (Catla catla), mrigal (Cirrhinus mrigala) and silver carp (Hypophthalmichthys molitrix) was evaluated vis-à-vis tilapia, following experimental infection with TiLV. No clinical signs and histopathological alterations could be observed in carps. RT-qPCR revealed that TiLV copy numbers in liver and brain of all the three carps were almost negligible and did not show any increase with time, suggesting that the virus did not replicate in liver and brain, the target organs of TiLV. Further, TiLV could not be isolated from pooled liver and brain tissues of carps using permissive CFF cell line. On the contrary, in tilapia, typical clinical signs and histopathological lesions were observed and there was significant increase in TiLV copy number up to 6 days post-injection. Furthermore, the virus was successfully isolated from pooled liver and brain tissue of infected tilapia. From the above findings, it could be concluded that C. catla, C. mrigala and H. molitrix are resistant to TiLV infection and unlikely to be carriers for this virus.
Underscoring the Case for Better Markers of Kidney Injury in Deceased Donors.

Profile Index (KDPI), which results in a higher KDPI percentile when a donor experiences AKI. This high KDPI further disadvantages organs with AKI, which are already at a disproportionately increased risk of discard secondary to concerns for delayed graft function (DGF) and allograft failure in recipients. Observational national registry data from the United States and Australia have demonstrated a consistent association of donor AKI with DGF but not with longer-term allograft function, a finding that has been replicated repeatedly in multiple single-center studies and systematic reviews. Although many of these studies were potentially limited by their use of terminal creatinine, these relationships are unchanged by more granular phenotyping using sequential creatinine values or histological evidence of acute tubular necrosis. In this issue of AJKD, Lenain et al report on the association of donor AKI with subsequent allograft outcomes in the French national transplant registry by adding a twist to the definition of AKI. As a true baseline creatinine is not available in deceased donors, they imputed the donors’ baseline estimated glomerular filtration rates (eGFRs) and then used these values to calculate baseline serum creatinine and to subsequently define AKI in the deceased donors. Although this is a novel approach to determine if a deceased donor experienced AKI, this strategy has been previously used in epidemiological studies of AKI in native (nontransplanted) kidneys when a baseline creatinine value is unavailable. The results of this study are particularly notable, as they suggest that grafts from donors who had AKI perform significantly worse but also are contrary to several prior studies suggesting otherwise. Compared with prior studies, this new approach for assessment of baseline creatinine also leads to a reduction of about 50% in the proportion of deceased donors deemed to have had AKI at the time of procurement. The use of a back-calculated creatinine from a presumed baseline eGFR is not without challenges. As Lenain et al so elegantly demonstrate with Sankey diagrams, the reclassification of donors with and without AKI results from the introduction of a presumed baseline across their different phenotypes. To what extent this reclassification resulted in inadvertent enrichment of subcohorts with kidneys from donors with suboptimal characteristics is a
Detection of faults of filter capacitors in a converter. Application to predictive maintenance

One of the most frequent reasons of breakdown of static power converters, and in particular switch mode power supplies, is the failure of filter electrolytic capacitors. With the use of time-worn capacitors, or by modelling the faults artificially, the authors have developed a fault indicator. By comparing the latter with data representing the system during normal running, they have achieved an estimate of imminent failure. <<ETX>>