Miracle-dz/UniFAR-FTUs huggingface dataset:
Short communication: A semiautomated method for bulk fault slip analysis from topographic scarp profiles

Abstract. Manual approaches for analyzing fault scarps in the field or with existing software can be tedious and time-consuming. Here, we introduce an open-source, semiautomated, Python-based graphical user interface (GUI) called the Monte Carlo Slip Statistics Toolkit (MCSST) for estimating dip slip on individual or bulk fault datasets that (1) makes the analysis of a large number of profiles much faster, (2) allows users with little or no coding skills to implement the necessary statistical techniques, (3) and provides geologists with a platform to incorporate their observations or expertise into the process. Using this toolkit, profiles are defined across fault scarps in high-resolution digital elevation models (DEMs), and then relevant fault scarp components are interactively identified (e.g., footwall, hanging wall, and scarp). Displacement statistics are calculated automatically using Monte Carlo simulation and can be conveniently visualized in geographic information systems (GISs) for spatial analysis. Fault slip rates can also be calculated when ages of footwall and hanging wall surfaces are known, allowing for temporal analysis. This method allows for the analysis of tens to hundreds of faults in rapid succession within GIS and a Python coding environment. Application of this method may contribute to a wide range of regional and local earthquake geology studies with adequate high-resolution DEM coverage, enabling both regional fault source characterization for seismic hazard and/or estimating geologic slip and strain rates, including creating long-term deformation maps. ArcGIS versions of these functions are available, as well as ones that utilize free, open-source Quantum GIS (QGIS) and Jupyter Notebook Python software.
The Politics of Minimum Income Protection in the Canadian Provinces

Abstract This article compares social assistance incomes, or minimum income protection, for four household types in the 10 Canadian provinces between 1990 and 2017 and relates these incomes to a number of factors, including partisan dominance over time, trade union density, the presence or absence of poverty reduction strategies, provincial social expenditures, overall redistribution efforts, debt service costs and social assistance recipiency rates. In line with findings for the Organisation for Economic Co-operation and Development (OECD) welfare states, partisan politics does not play a strong role but, as power resources theory predicts, union density and a province's overall redistribution efforts do. Social assistance recipiency rates, which capture the salience of social assistance incomes in a province, also have a significant, positive impact on welfare incomes, confirming the “welfare paradox” identified by Ivar Lødemel. Poverty reduction strategies, however, do not, and they even have a negative influence on welfare incomes.
CURRENT PERSPECTIVES ON THE MICROBIOTA-GUT-BRAIN AXIS IN CHRONIC NEURODEGENERATIVE DISORDERS

– Chronic neurodegenerative disorders are mostly due to population aging. These invalidating conditions include dementia (as Alzheimer’s disease AD) and movement disorders (as Parkinson’s disease PD). In the past decades, we have been accumulating experimental evidence on the molecular triggers of AD/PD and few approved drugs are available, unfortunately with no real disease-modifying action. As AD/PD cases constantly rise in the world, new hypothesis on their pathogenesis are actively under investigation. One of this is based on the microbiota-gut-brain axis, that postulates a direct or indirect influence of the microbial host community of human gut on the nervous system and its functions. This bidirectional interaction may play a role also in neurodegenerative disorders, even though research in this field requires models and tools for growing to a clinical translational perspective. To this respect, innovative in vitro engineered disease models are gaining attention, particularly because they feature desirable characteristics as tridimensional (3D) growing conditions and interstitial fluids movement recapitulation thanks to microfluidics. Here we summarize current data on the impact of gut microbiota on AD/PD models and patients, with a focus on ongoing research projects on the topic that are trying to unravel clinical questions or elaborate technical solutions for research and industry applications in the field. 1. THE MICROBIOTA-GUT-BRAIN AXIS AND NEURODEGENERATIVE
Exploring Preservice Teachers’ Perception on Rural Teaching and Education through the Mediation of Photovoice

Teacher preparation programs (tpps) are expected to help preservice teachers (psts) to be aware of identify and revise their possibly biased perceptions on potential students and schools they may serve. Field experience, a requirement of every accredited tpp, has long been viewed to have an awareness-raising effect to reconstruct experiences into meaningful insights as well as to impact psts’ perceptions. This study employs photovoice to explore five psts’ perception on rural students and education during their 5-day field experiences from visiting five rural and ethnic minority schools in Yunnan, a southwest province of China. The findings from this study indicate that psts in the field far different from their personal education background shift their perspective concern from instruction to student, which could be the sign that psts improve their reflection to become more inclusive, student-centered other than egocentric, teacher-centered. The study also found that photovoice mediates the participants to document and report their lived experience. It gives the opportunities to psts to ascribe meanings to the photos representing their knowledge and perspective of the phenomenon. Implication to tpps is finally discussed.
HEROÍNA: Drug or hero? Meaning-dependent valence norms for ambiguous Spanish words

Abstract Semantically ambiguous and emotional words occur frequently in language, and the different meanings of ambiguous words can sometimes have different emotional loads. For example, the Spanish word heroína (heroin/heroine) can refer to a drug or to a woman who performs a heroic act. Because both ambiguity and emotionality affect word processing, there is a need for normative databases that include data on the emotionality of the different meanings of such words. Thus far, no bases of this type are available in Spanish. With this in mind, the current study will present meaning-dependent affective (valence) ratings for 252 Spanish ambiguous words. The analyses performed show that (a) among ambiguous words, those words with meanings that have distinct affective valence are quite frequent, (b) ambiguous words rated as neutral in isolation can have meanings of opposite valence (i.e., negative-positive or positive-negative), and (c) the valence estimated for ambiguous words in isolation is better explained by the weighted average of the valence of their meanings by dominance. A database of this kind can be useful both for basic research (e.g., relationship between emotion and language and ambiguity processing) and for applied research (e.g., cognitive and emotional biases in emotional disorders and second language learning).
Impact of Corporate Social Responsibility Disclosure and Accounting Performance on Sustainable Business

Corporate social responsibility disclosure is part of the service of accounting performance linked to social, economic, environmental dimensions of company program which can play a keen role in developing stakeholders (Society, government, stockholders) trust as well as image of the company. Nevertheless, such perspectives are debatable since there is less agreement on the very purpose of corporate social responsibility of companies. The purpose of this research is to examine relationship between corporate social responsibility disclosures to reduce the disparities in the company performance. Following an interpretive research philosophy, the study used descriptive study design of qualitative research methodology. Design followed 10 years data from a mining company on corporate social responsibility disclosure and did the content analysis from secondary literature. The results of the qualitative study show that the accountability is closely knit with company responsibility which intern influence society, business image and economic development. Research extends practical, policy, theoretical implication of stakeholders and accountability of corporate social responsibility disclosure.
Exploring managerial leadership in Vietnam: where Confucianism meets Dharma

ABSTRACT In this paper, we set out to study what constitutes managerial leadership excellence in Vietnam. In so doing, based on a 208 sample employing factor analysis and structural equation modelling, we have developed a ten dimension cultural model where Confucian cultural values with some aspects of Dharma influence managerial behaviours, where a leader is seen to be both a team and an organizational player. These values are moderated by Gender differences, with female managers more supportive of what constitutes an excellent leader than male managers. The cultural values are also moderated by a significant regional difference between the North and South.
Radiation Controls the Interannual Variability of Evaporation of a Subtropical Lake

Does lake evaporation increase or decrease under the scenario of climate warming? This paper aims to answer this question by investigating the controlling mechanism of interannual variations in lake evaporation at a subtropical lake. The research methodology is based on continuous eddy covariance measurement over >7 years and a diagnostic analysis using the surface energy balance principle. The results indicate that lake evaporation was enhanced mainly by increasing energy inputs including solar radiation and incoming longwave radiation and was weakened by surface feedback through outgoing longwave radiation. The incoming longwave radiation was positively correlated with cloud cover. Bowen ratio and surface albedo had slight effect on the change of lake evaporation. The annual lake evaporation can be predicted by the Priestly‐Taylor model using a larger coefficient of 1.39 than the original value of 1.26, suggesting that advection or entrainment in the atmospheric boundary layer may play a role in lake evaporation.
Advertising Effectiveness for Multiple Retailer-Brands in a Multimedia and Multichannel Environment

An important aspect of multimedia advertising effectiveness that remains unexplored is a customer-level analysis of the relative importance of each medium for multiple retailer-brands within a product category. The increasing availability of customer databases for parent companies containing multimedia ad exposures, sales transactions in several purchase channels, and information across multiple retailer-brands now allows for a broader examination of advertising effectiveness. In this research, the authors monitor 4,000 customers over two years, linking their exposure to three media (email, catalogs, and paid search) to their in-store and online purchases for three retailer-brands in the clothing category. They develop a Tobit model for sales response to multimedia advertising that captures within-brand and within-channel correlations and accommodates individual-level advertising response parameters. Due to the very large number of observations (2.4 million) and random effects (60), the authors employ an emerging machine learning technique, variational Bayes, to estimate the model parameters. They find that email and sometimes catalogs from a focal retailer-brand have a negative influence on other retailer-brands in the category, whereas paid search influences only the focal retailer-brand. However, competitor catalogs often positively influence focal retailer-brand sales, but only among omnichannel customers. They segment customers by retailer-brand and channel usage, revealing a sizeable group of customers who shop across multiple retailer-brands and both purchase channels. Moreover, this segment is the most responsive to multimedia advertising.
Social capital and firm performance: A study on manufacturing and services firms in Vietnam

Article history: Received: February 19, 2020 Received in revised format: March 27 2020 Accepted: March 29, 2020 Available online: March 30, 2020 This article investigates the causal connection between social capital (SC), knowledge transfer, innovation and firm performance. Based on existing literature on social capital, we develop a research model showing that three dimensions of social capital, including network ties, trust and shared visions, have positive relationships with company performance via two mediators, namely knowledge transfer and innovation. Using a sample of 153 Vietnamese firms, including one to two respondents from each firm, our study applied structural equation modeling to confirm the hypotheses. The results show that all three dimensions of social capital were positively related to firm performance with knowledge transfer and innovation acting as mediators. Knowledge transfer and the company's innovation were found to have a strong association with each other. Academically, this paper offers an opportunity to investigate social capital in terms of other factors in one specific industry. Practically, our findings motivate firms to focus on improving knowledge transfer on both quantity and quality prospects to boost firm performance. © 2020 by the authors; licensee Growing Science, Canada
Effect of indole butyric acid and p-hydroxybenzoic acid on regeneration of litchi cultivars through air layering.

The most common and commercial method of propagating litchi is air layering in which wounding the stem and treating with auxin helps in better rooting. Recently some non-auxinic chemicals are being used to synergise the effect of auxins. Therefore, an investigation was carried out to determine the response of different cultivars of litchi to IBA alone and in combination with pHB on different rooting parameters and survival of layers. All the rooting parameters I.e. length of roots, number and weight of roots both fresh and dry and survival of rooted layers were improved significantly with 5000ppm IBA+ 1OOOppm pHB treatment. These traits were however recorded significantly maximum in Rose Scented when compared with other cultlvars.
Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network

Blood pressure (BP) is a vital sign of the human body and an important parameter for early detection of cardiovascular diseases. It is usually measured using cuff-based devices or monitored invasively in critically-ill patients. This paper presents two techniques that enable continuous and noninvasive cuff-less BP estimation using photoplethysmography (PPG) signals with Convolutional Neural Networks (CNNs). The first technique is calibration-free. The second technique achieves a more accurate measurement by estimating BP changes with respect to a patient's PPG and ground truth BP values at calibration time. For this purpose, it uses Siamese network architecture. When trained and tested on the MIMIC-II database, it achieves mean absolute difference in the systolic and diastolic BP of 5.95 mmHg and 3.41 mmHg respectively. These results almost comply with the AAMI recommendation and are as accurate as the values estimated by many home BP measuring devices.
Analysis of realistic mathematics learning approach on the students’ problem solving skill and self-confidence on sequence and series materials

This research aimed at analyzing realistic mathematic learning approach on the students’ problem solving skill and self-confidence on valid, practical, and effective squence and series materials. This research was conducted at vocational high school with the sample consisted of x grade students of automotive 1 as the experimental class which given a treatment of realistic mathematic learning approach. The subjects were selected purposively with the suggestion from the teacher who understood the students’ cognitive and affective condition. The method used was quantitative descriptive because it aimed at analyzing the effect of realistic mathematic learning on the students’ mathematics problem solving skill, and the effect of realistic mathematics on the students’ self-confidence. The results of the research showed that realistic mathematics learning approach had significant effect on the students’ problem solving skill and self-confidence. The tests carried out were normality test in the form of realistic mathematics learning as many as 5.043 and the students’ self-confidence as many as 5.031. Linearity test of the data of problem solving skill was 3.759 and self-confidence was 3.357. The regression equation 1 (Ȳ=-48.228+0.570 x ), regression coefficient obtained was 0.570, which meant that the effect was 61.9%. The results of hypothesis testing showed that the value of tcount > ttable (5.043>1.714), regression equation 2 (Ȳ=-51.535 + 0.539 x ), regression coefficient obtained was 0.539, which meant that the effect was 67.1%. The results of hypothesis testing showed that the value of tcount > ttable (3.697>2.064). The results of hypothesis testing showed fhitung > ftabel (5.043 > 1.714) therefore it can be concluded that : h0 was rejected and ha was accepted under the condition that there was a significant effect of realistic mathematics learning approach on the students’ problem solving skill and the results of hypothesis testing showed that fhitung > ftabel (5.043 > 1.714) therefore it can be concluded: h0 was rejected and ha was accepted under the condition that there was a significant effect of realistic mathematics learning approach on the students’ self-confidence. Thus, the effect of realistic mathematics learning approach on the student problem solving skill was 67.1% and self-confidence was 67.1%.
The effect of trust on farmers’ milk market participation in dairy cooperatives in West Shoa, Ethiopia

ABSTRACT While previous studies recognise the importance of trust in cooperatives, there are very few empirical studies on the role trust plays in market participation in dairy cooperatives. This paper investigates the effect of trust on farmers’ milk market participation using data from dairy cooperatives in Ethiopia. First, a principal component analysis was performed on the data set of trust indicators to construct a composite indicator for measuring farmers’ trust. Second, the Heckman two-step procedure was employed to investigate the effect of trust on milk market participation. The result from the Tobit model indicates that trust is an important factor influencing the intensity of milk marketing through the cooperatives. The following implications are worthy of consideration for improving farmers’ trust and thereby market participation: improving the competency of the management, communicating and sharing of information, and democratic election of the management.
Mortalidad y reclutamiento de árboles en un bosque con manejo de impacto reducido en la región oriental de la Amazonia brasileña

El manejo de bosques responde por 30% de los impactos que sufren los bosques tropicales. El estudio de la dinamica forestal permite medir el impacto de las intervenciones forestales. Por eso, en este trabajo evaluamos la dinamica forestal en terminos de mortalidad y reclutamiento de arboles con DAP ≥ 32 cm, asi como la mortalidad en los individuos por clase diametrica para diametros en 2 fitofisionomias: flora ombrofila densa (FOD) y flora ombrofila abierta con lianas (FOAL) en la region oriental de la Amazonia brasilena en 13 parcelas permanentes de monitoreo (PPM) de 50 m × 50 m (2,500 m2) en una unidad de produccion anual (UPA) sometida a manejo de impacto reducido en el periodo de 2014 a 2016. Determinamos que las tasas de mortalidad y reclutamiento no fueron estadisticamente significativas, aunque si mayores para la FOD. El reclutamiento fue mayor en la FOD. La mortalidad por el manejo mostro variaciones estadisticas significativas segun la clase diametrica. Estas variaciones en la dinamica son importantes para ser tomadas en cuenta en la construccion y ejecucion de los planes de manejo.
Studies on genetic components for seed yield and its contributing traits in Indian mustard (Brassica juncea).

An experiment was conducted to know the inheritance pattern of seed yield and its components in a 10 ´ 10 half diallel cross set of Indian mustard [Brassica juncea (L.) Czern and Coss. ] The analysis of variance indicated highly significant differences among parents and F’1s for almost all the characters. The estimates of components of variance were significant for all the characters except days to flowering, primary branches/ plant and 1000-seed weight. The component studies revealed that both additive and non-additive gene action play their role in inheritance of various characters in Indian mustard.
Evaluation of the Sensitivity of Staphylococcus aurous Isolated from Nasal Swabs to Natural Honey

Introduction: Bacterial resistance to antibacterial agents is a very serious threat to public health. Where some antibacterial agents prove ineffective, the antibacterial properties of honey have been shown to be highly efficacious against several human bacterial pathogens. The purpose of this study is to investigate the sensitivity of Staphylococcus aureus isolated from the nursing staff of a hospital to natural honey. Methods: In this study, 35 strains of methicillin-resistant S. aurous samples were selected from hospital staff's nasal swabs. Two strains were vancomycin-resistant. The serial dilution tube test methodwas used to determine minimum inhibitory concentration (MIC) . The susceptibility of each strain of staph bacteria to natural honey without wax was determined and compared with that of a glucose solution with the same density. Results: In all strains, except for the two strains resistant to vancomycin, MIC level was < 8.3% (v/v). The MIC of glucose as dense as honey was four times higher. The two vancomycin-resistant strains were completely resistant to natural honey. Conclusions: This study has therefore demonstrated that inhibiting bacterial growth is not merely done by purely natural honey not because of osmolality, but vancomycin-resistant bacteria are not sensitive to natural honey. Keywords: sensitivity, Staphylococcus aurous, natural honey, minimum inhibitory concentration
Emergency Loans and Collateral Upgrades: How Broker-Dealers used Federal Reserve Credit during the 2008 Financial Crisis

Abstract During the 2008 financial crisis, the Federal Reserve established two emergency facilities for broker-dealers: one provided collateralized loans; the other, collateral upgrades. These facilities alleviated dealers’ funding pressures when access to repos backed by illiquid collateral deteriorated. The ability to upgrade collateral allowed dealers to continue funding their own illiquid inventories (avoiding potential firesales) and to provide better bond market liquidity. It also helped sustain dealers’ credit to hedge fund clients, which in turn posted relatively better returns.
On coarsening of cementite during tempering of martensitic steels

ABSTRACT The coarsening of cementite in a martensitic Fe–1C–1Cr (wt-%) alloy upon tempering at 700°C is investigated. When considering that the main location of cementite is at grain boundaries, classical coarsening theory can accurately predict the mean size evolution, while the predicted size distribution evolution disagrees with the experimentally observed log-normal distribution maintained throughout the whole tempering (5000 h). We conclude that classical theory of coarsening, as given by Lifshitz–Slyozov–Wagner and included in the Langer–Schwartz Kampmann–Wagner numerical approach for modelling precipitation reactions, is not fully adequate to simulate coarsening of cementite for tempering in practice.