Miracle-dz/UniFAR-FTUs huggingface dataset:
A study on maternal and foetal prognosis and predictive factors for adverse outcome in pregnant patients with dengue in an endemic state of India

Aims: Dengue fever is a major health problem with high morbidity and mortality especially during epidemic season; pregnant females being no exception. But, there is paucity of published data on dengue fever during pregnancy. Hence, this study was planned to study the clinical profile, maternal outcome and predictors of poor outcome in pregnant dengue patients. Materials and Methods: All pregnant females attending labour room of Tata Main Hospital, Jamshedpur from April 2016 to October2020 with acute febrile illness caused by dengue virus at any gestational age were included in the study. Diagnosis of dengue was made by detection of NS1 antigen or dengue serology. A predesigned proforma was used to record materno-foetal outcomes and were analysed. Results: Dengue was the cause of fever in 7.1% febrile patients. Maternal complications included abortions (26%), abruptio (1.9%), postpartum haemorrhage (11.9%) . Of all the pregnant dengue patients, five had severe dengue(SD) with high mortality (3/5; 60%). Fetal complications were intrauterine death(7.7%),preterm(42.3%). Thrombocytopenia and elevated transaminases were associated with adverse outcome. Conclusions: Dengue fever in pregnancy is associated with poor outcomes more in cases of SD rather than dengue fever . Pregnant females with high risk predictors should be identified and managed aggressively in intensive care units to improve outcomes.
Non-partner sexual violence victimization among female medical undergraduates

Introduction: Sexual violence against women is a major public health problem around the world. Globally, around 7% of women have experienced sexual violence by a non-partner in their lifetime. Women who have experienced sexual violence are more likely to suffer from a sleep disorder, anxiety disorder, high blood pressure, and symptoms of depression. Sexual violence has been the predecessor of poor mental health of a woman and needs to be addressed by primary care physicians. Objectives: To assess the prevalence and associated factors of non-partner sexual violence in female medical undergraduates. Methodology: This cross-sectional study was conducted on 109 female medical undergraduates over two months. A semi-structured questionnaire was used to collect socio-demographic data and the WHO violence against women instrument Version 10 was used to assess sexual violence. Analysis: Data analyzed using SPSS version 23 (trial version) independent t test, Chi-square test, and Fisher's exact test was applied for inferential purpose. Results: Non-partner sexual violence was reported by 8.3% of the students. It was found that in 33.3% of cases, the perpetrators were other male family members, and in 44.4% of cases male friends of the family. Conclusion: Such a high prevalence of sexual violence is alarming. It is shocking that even in non-partner sexual violence, the perpetrator is not completely unknown to the victims.
The Effects of Capital and Liquidity Requirements in a Dynamic Model with an Interbank Market

This paper studies the quantitative impacts of Basel-style capital and liquidity requirements on bank lending, bank liquidity holdings and interbank trading activities. We develop a model in which banks are subject to business cycle variations, are financed by deposits and equity, and transform these liabilities into loans, liquid assets, and interbank lending. Banks are exposed to systematic credit and liquidity shocks and idiosyncratic credit and liquidity shocks, where the idiosyncratic shocks can be managed through the interbank market. Our novel findings show (1) adding banking requirements, especially the liquidity requirements, reduces the interbank rates, (2) the benefits of liquidity requirements are at the cost of lowered social welfare, and (3) there exists a U-shaped relationship between interbank trading volume (representing banks’ reliance on the interbank market) and the liquidity requirements (for both Liquidity Coverage Ratio and Net Stable Funding Ratio), where the required ratios set around 65% reach the minimum. We then conclude that the current liquidity requirement ratio (100%) appears to be too strict to limit banks’ reliance on the interbank market. JEL Classification: G21, G28, G33, E58.
Data-Driven Firm Productivity: The Importance of Technological Architecture

Large traditional corporations have been undergoing digital transformation since the late 2015, but investments in new generations of data analytics and machine learning yield largely uneven productivity benefits. We show that firms’ data architecture capabilities are complementary to the adoption of machine learning and data analytics, and are crucial to driving productivity gains from technological innovation. We use a detailed survey to derive separate indexes for three distinct architectural components. We report three findings: data platform and analytics/ML architecture are complementary to machine learning adoption; poor data platform capability is associated with fragmented ML adoption and lower productivity, but fully developed data architecture capabilities are associated with larger scope and variety of ML functionalities; cloud architecture is complementary to demand for data analytics skills. Empirical evidence also suggests that large U.S. corporations are early adopters of cloud and data analytics, and late adopters of machine learning technology. 1 We are grateful to Alexandria Sheng, Ellen Wu, Amanda Pratt, Ross Sullivan, and the Keystone Strategy team for implementing the survey and collecting the data. Satya Nadella, Kinney Zalesne, and Greg Shaw at Microsoft provided invaluable input and helped fund the data collection process. We thank Karim Lakhani for his insights on the importance of organizational and technological architecture in scaling digital innovation. We thank Tim DeStefano, Chiara Farronato, Chris Forman, Shane Greenstein, Kristina McElheran, Frank Nagle, Glen Weyl, and Feng Zhu for very helpful comments. One of us (Marco Iansiti) has worked with many companies in the IT sector and in traditional industries on the topic of digital transformation.
Importance of the vane exit Mach number on the axial clearance-related losses

More efficient and physically smaller axial turbine designs are promoted to lower emissions and increase revenue. The physical size and the weight of the axial turbine can be minimised by adjusting the distance between successive stator and rotor rows. The influence of changing stator–rotor axial clearance can usually have either a positive or a negative influence on the turbine performance, and the reasons for this varying behaviour are not currently fully understood. A previous study revealed several design parameters that correlate with the efficiency curve shape. However, the effects of two parameters, namely the stator outlet Mach number and the reduced blade passing frequency, still remained unclear. Therefore, a novel approach is taken to analyse the correlations between the two design parameters and the axial clearance efficiency curve shape. Several different turbines are analysed using data available in the literature, and also new data are presented. The study suggests that the stator outlet Mach number correlates reasonably well with the efficiency curve shape, and it was further linked to five loss mechanisms and the rotational speed. Although the unsteady interaction plays an important role in the loss share, the level of unsteadiness did not correlate with the efficiency curve shape.
DATA LOGGER CİHAZININ OHM KANUNU ÜZERİNDEKİ PİLOT UYGULAMASI

Usage of computers and technological tools in science education contribute to both teaching abstract concepts and making difficult experiments on computer based science laboratories. Data logger used with computers play very important role observing abstract concepts and doing quite difficult physics experiments. In this study, the affect of data logger on students’ achievement were investigated with experimental approach. The sample consist of 49 sixth level middle school students; 23 students in experimental group and 26 students in control group in Trabzon. Ohm’s law, series and parallel circuits were applied by means of data logger on the experimental group. The same content was taught to the control group, an ammater and a voltmeter, the teacher demonstration approach. At the end, a significant difference was found (t47=9.38, p<.05) between experimental and control group. This result show that data logger have positive affect on student achievement.
Achievement Emotions, Intention to Be Physically Active, and Academic Achievement in Physical Education: Gender Differences

Purpose: The objective of the study was to evaluate the relationships among the achievement emotions experienced during physical education classes, the intention to be physically active, and academic achievement. Methods: The sample consisted of 764 Spanish secondary education students (348 boys and 416 girls). Results: Pride, enjoyment, and hopelessness were the main emotions to explain the intention to be physically active, whereas enjoyment and boredom were the most important emotions to explain academic achievement. Given that boys had a better emotional experience than girls, the effect of gender in the prediction was studied. It highlights the significant moderating effect of gender for enjoyment and pride in the intention to be physically active. Discussion/Conclusion: These results show the need to apply strategies focused on each emotion, taking into account the students’ gender, for those that help to improve their emotional experience during physical education classes.
Aggressive Superior-Subordinate Communication as a Predictor of Occupational Outcomes among Roman Catholic Sisters and Priests in India

ABSTRACT The research reported here responds to two calls for research: 1) to study organizational communication in religious settings, and 2) to extend the study of communication beyond WEIRD samples (Western, Educated, Industrialized, Rich, Democratic). In answering those calls, we examined aggressive superior-subordinate communication in ecclesiastical occupations (EO) in the Roman Catholic Church in India. Consistent with prior research, superior verbal aggressiveness predicted negative subordinate responses and was a stronger predicter than superior argumentativeness, which predicted positive subordinate responses. These patterns, however, were qualified by the interactions observed. Specifically, superior aggressive communication was a stronger predictor of responses among priests than sisters, and it predicted more positive job outcomes for priests (e.g., higher job satisfaction), but more negative ones for sisters (e.g., lower job satisfaction). Furthermore, the positive verbal aggressiveness-occupational outcomes relationships run counter to US-based aggressive communication theory and empirical research, as does the positive correlation observed between argumentativeness and verbal aggressiveness. Results of this research underscore the importance of testing the generalizability of communication knowledge originating from WEIRD samples to non-WEIRD populations.
An electromagnetic induction study of south Cornwall, England

Twenty one magnetotelluric and 16 magnetovariation soundings were taken on or near the Carnmenellis granite over periods in the range of 0.0078 seconds to 3000 seconds. The measured impedance tensors were analysed in detail using decomposition methods. All the data are distorted by galvanic electric charges which build up on the granite country rock contact. The amount of distortion varies between sites with distance from the edge of the batholith. The vast majority of the data are at least two dimensional and the effects of three dimensional induction are increasingly sensed by periods greater than is. Short period soundings indicate that the anisotropy in the magnetotelluric field is caused by electric current being channelled along fluid filled cracks. One dimensional modelling of the E-pol response indicates that the bottom of the granite is not flat, but slopes downwards to the south. This finding is evidence to support the theory that the Cornubian granites originated SSE of their present position and were rafted NNW as a thin sheet. Two dimensional modelling suggests that at least a portion of the gradient of this slope is caused by the neglection of 3D induction in models used in the study. The pattern of regional azimuths between 0.1 and 10 seconds is caused by a combination of lateral, near surface, conductivity contrast, such as the surrounding seas, and conductivity contrasts at depth due to the slope of the bottom of the granite. Mainly due to the effects of conductivity contrasts perpendicular to the regional azimuth, it was found impossible to find a model which fitted the E-pol data at both on and off granite sites. The 2D model indicates that there is a steep rise in the resistivity depth profile of the granite from 800 Ohm-rn at the surface to 20000 Ohm-m at 4 km. The closure of fluid filled joints due to the increase in lithological load with depth is interpreted to be the cause of this increase in resistivity. The 2D model indicates the existence of resistive material at depths greater than 20 km and this is evidence to support the theory that the granite may change gradually with depth into a granodioritic crust. Thin sheet modelling of the measured induction arrows detects the presence of a conductive region north of the Carnmenellis granite and the channelling of current through this region from the south to the north coast of the peninsula. It is proposed that the conductivity of this area is enhanced by a high density of fluid filled fractures.
Unidirectional Magnetic Anisotropy in Molybdenum Dioxide–Hematite Mixed-Oxide Nanostructures

MoO2-Fe2O3 nanoparticle systems were successfully synthesized by mechanochemical activation of MoO2 and α-Fe2O3 equimolar mixtures throughout 0–12 h of ball-milling. The role of the long-range ferromagnetism of MoO2 on a fraction of more defect hematite nanoparticles supporting a defect antiferromagnetic phase down to the lowest temperatures was investigated in this work. The structure and the size evolution of the nanoparticles were investigated by X-ray diffraction, whereas the magnetic properties were investigated by SQUID magnetometry. The local electronic structure and the specific phase evolution in the analyzed system versus the milling time were investigated by temperature-dependent Mössbauer spectroscopy. The substantially shifted magnetic hysteresis loops were interpreted in terms of the unidirectional anisotropy induced by pinning the long-range ferromagnetic order of the local net magnetic moments in the defect antiferromagnetic phase, as mediated by the diluted magnetic oxide phase of MoO2, to those less defect hematite nanoparticles supporting Morin transition. The specific evolutions of the exchange bias and of the coercive field versus temperature in the samples were interpreted in the frame of the specific phase evolution pointed out by Mössbauer spectroscopy. Depending on the milling time, a different fraction of defect hematite nanoparticles is formed. Less nanoparticles supporting the Morin transition are formed for samples exposed to a longer milling time, with a direct influence on the induced unidirectional anisotropy and related effects.
Textile management enabled by lean thinking: a case study of textile SMEs

Abstract The textile industry in Europe consists mainly of small and medium enterprises (SME), which are a vital part of the European Union economy. The SMEs are pressured by a challenging financial situation and must become more efficient to stay competitive. Many textile SMEs have, however, not adopted new quality management concepts for efficiency; this represents an interesting research gap. Hence, the purpose of this paper was to investigate the effects of a lean approach in the management area of textile SMEs. The findings suggest overall positive effects as a result of applying lean principles in the textile management area. Several areas, characterised as waste in a lean service context, were improved. This suggests possible cost reduction with a lean approach. From a team perspective, improvements of team collaboration, information and communication as well as team performance were identified. A conflicting finding was that work-related stress increased in one case, while it was reduced in the other case.
A Physical Interpretation of Asymmetric Growth and Decay of the Geomagnetic Dipole Moment

Observations of relative paleointensity reveal several forms of asymmetry in the time dependence of the virtual axial dipole moment (VADM). Slow decline of the VADM into a reversal is often followed by a more rapid rise back to a quasi‐steady state. Asymmetry is also observed in trends of VADM during times of stable polarity. Trends of increasing VADM over time intervals of a few 10s of kyr are more intense and less frequent than decreasing trends. We examine the origin of this behavior using stochastic models. The usual (Langevin) model can account for asymmetries during reversals, but it cannot reproduce the observed asymmetry in trends during stable polarity. Better agreement is achieved with a different class of stochastic models in which the dipole is generated by a series of impulsive events in time. The timing of each event occurs randomly as a Poisson process and the amplitude is also randomly distributed. Predicted trends replicate the observed asymmetry when the generation events are large and the recurrence time is long (typically longer than 3 kyr). Large and infrequent generation events argue against dipole generation by small‐scale turbulent flow. Instead, the observations favor a mechanism that relies on expulsion of poloidal magnetic field from the core.
Synchronous Online Learning in Higher Education: Vietnamese University Students’ Perspectives

This quantitative study investigated Vietnamese higher education students’ engagement with synchronous online learning (SOL) during a heightened stage of the COVID-19 pandemic. Theoretically, we employed Engeström’s (1987) Cultural-Historical Activity Theory (CHAT) to guide our research theoretically and pedagogically, and to construct reliable methods of data collection instruments responsible for multiple quantifiable variables informed by previous literature and personal goals that best match students’ study and work objectives. Over our 6-month research, we examined 475 Vietnamese college students. Our research showed that when engaged in SOL, the higher education research participants had a positive learning experience, perceived growth, and received learning assistance, in response to our quantitative examination of exploratory factor analysis and our qualitative counterpart of theme-based analysis. In light of this study, it is our hope that, according to the quantitative data, our delivery of initial insights into Vietnamese higher education institutions can provoke institutional leadership and management boards to think more closely about how to advance teaching and learning quality.
Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm

Though many researchers have studied plant leaf disease, the timely diagnosis of diseases in olive leaves still presents an indisputable challenge. Infected leaves may display different symptoms from one plant to another, or even within the same plant. For this reason, many researchers studied the effects of those diseases on, at most, two plants. Since olive crops are affected by many pathogens, including bacteria welt, olive knot, Aculus olearius, and olive peacock spot, the development of an efficient algorithm to detect the diseases was challenging because the diseases could be defined in many different ways. For this purpose, we introduce an optimal deep learning model for diagnosing olive leaf diseases. This approach is based on an adaptive genetic algorithm for selecting optimal parameters in deep learning model to provide rapid diagnosis. To evaluate our approach, we applied it in three famous deep learning models. For the comparative evaluation, we also tested other well-known machine learning methods. The experimental results presented in this paper show that our model outperformed the other algorithms, achieving an accuracy of approximately 96% for multiclass classification and 98% for binary classification.
Investigation of the accuracy of non-linear model in the study of green permeability of green sand moulds

The study, “investigation of the accuracy of non linear model in the study of green permeability of green sand moulds” has been carried out. The nonlinear model used in the work is based on the hyperbolic function. The work used results generated empirically from the Sand Testing Laboratory of National Metallurgical Development Centre, Jos. Non-linear models were developed for the study and prediction of green permeability. Green permeability was the dependent variable while clay content and moisture content were the independent variables. The developed models were tested for accuracy both in terms of interpreting the relationship existing between green permeability and the two variables and in predicting green permeability. It was found that this model failed in terms of accuracy. A graphical version of the model was developed from the model equations and it was found that the non-linear model was completely different in shape and form from the graphical model of the green permeability generated empirically. While the later conformed to existing theories on permeability, the former did not. The study has clearly established the inaccuracy of nonlinear model based on hyperbolic function for prediction of green permeability and analysis of relationship between green permeability and the two variables of clay content and moisture content in green sand moulds.
Comparison of COVID-19 characteristics in Egyptian patients according to their Toll-Like Receptor-4 (Asp299Gly) polymorphism.

Background Toll-like receptor (TLR)-4 plays a vital role in recognizing viral particles, activating the innate immune system, and producing pro-inflammatory cytokines. Objectives This cross-sectional study aimed to compare COVID-19 severity, progression, and fate according to TLR-4 (Asp299Gly) polymorphism in Egyptian patients. Methods A total of 145 COVID-19 patients were included in this study. TLR-4 (Asp299Gly) genotyping was done using the PCR restriction fragment length polymorphism (PCR-RFLP) approach. Results The most commonly encountered TLR-4 genotype in relation to the amino acid at position 299 was the wild-type AA (73.1%); meanwhile, the homozygous mutant GG genotype (8.3%) was the least encountered. At hospital admission, 85.8% of the AA group had free (with no ground glass opacities) chest computed tomography (CT) examination, and 16.0% were asymptomatic. On the other hand, of the AG and GG groups, 81.5% and 83.3%, respectively showed bilateral ground-glass opacities in chest CT, as well as 25.9% and 75.0%, respectively were dyspneic. Values of the total leucocytic count, C-reactive protein (CRP), ferritin, and D dimer increased in the AAAG>GG sequence. ICU admission (83.3%) and in-hospital death (33.3%) rates were significantly higher in the GG group. Conclusions In COVID-19 patients, the TLR-4 mutant G allele may be associated with a more aggressive disease course and in-hospital death. New therapeutic alternatives could be aimed at this area.