Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidents and Disaster Avoidance: The Role of Communication Management and the Organizational Communication Climate in High-Risk Environments

Health, safety and the working environment are of paramount importance, especially in the high-risk environments found at facilities in the oil and gas industry, where hazards are inevitable and accidents may lead to regrettable situations such as explosions, oil spills and other disasters. The high number of accidents and disasters at such facilities bring safety-related matters to the fore. The complexity of the communication process is very often underestimated, where failures in communication could lead to major disasters. This paper investigates the role of communication management and the organizational communication climate and their impact on incidents and disaster avoidance. This study embarks on a quantitative approach involving 260 personnel from high-risk workplaces at oil and gas facilities, based on purposive sampling. Hypotheses were tested using PLS-SEM to identify causal relationships and for mediation analysis. The findings of this study show that communication management and the organizational communication climate have a significant impact on disaster avoidance. The organizational communication climate is also found to be a significant mediator for the relationship between communication management and disaster avoidance. Communication management and the organizational communication climate need to be enhanced and to be integrated with other technology and innovation to improve safety regulation adherence in the oil and gas industry.
ACEME: Direct Aqueous Mineral Carbonation of Dunite Rock

This research explores the use of serpentinized dunite (which is comprised of 61% lizardite) as a feedstock for aqueous mineral carbonation. In initial experiments, dunite was heat‐activated (630°C, 4 h), adopting a procedure which is similar to that used for serpentinite to enhance their carbonation reactivity. Heat‐activation converts crystalline lizardite mineral into an amorphous, reactive phase, and the carbonation of this heat‐activated material resulted in a magnesite yield of 55% compared to 27% obtained with raw dunite under the same reaction conditions. The formation of silanol nests occurred during carbonation of heat‐activated dunite as deduced through FTIR and TGA‐MS analyses. Samples of dunite were also heat‐transformed at high temperatures (800°C, 3 h) to convert lizardite into forsterite, and these samples were also studied as potential feedstocks for mineral carbonation. Heat‐activated dunite was found to engender much higher magnesite yields compared to heat‐transformed dunite (forsterite rich) and raw dunite. This study suggests that during heat‐activation of dunite, as it is for lizardite, conditions should be maintained to avoid forsterite formation. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13075, 2019
SPENT MUSHROOM SUBSTRATE of Pleurotus ostreatus KUMMER INCREASES BASIL BIOMASS AND ESSENTIAL OIL YIELD

ABSTRACT Lignocellulosic residues are used to produce mushrooms, but they generate large amounts of spent mushroom substrate (SMS). The objective of this study was to evaluate they effect of SMS of Pleurotus ostreatus, combined with organic fertilization, on biomass production and essential oil yield of basil (Ocimum basilicum L.) plants. The fertilizer was formulated using combinations of organic compounds: SMS, organic compost (OC), and earthworm humus (EH). The treatments were applied using 35 g of the formulations, corresponding to an application of 20 Mg ha-1. The treatments used were: 100% OC; 100% EH; 100% SMS; 75% SMS + 25% OC (C1); 75% SMS + 25% EH (C2); 50% SMS + 50% OC (C3); 50% SMS + 50% EH (C4); 50% SMS + 25% OC + 25% EH (C5), and a control with no fertilizer application (CT). Plants grown with the soil fertilizers containing SMS, single or combined with OC and EH, presented higher average plant height (55.6 to 62.2 cm) and leaf area per plant (696.5 to 836.4 cm2). The treatment C3 resulted in plants with higher mean dry weight (10.9 g plant-1), and C2 resulted in the highest oil yield (5.0 kg ha-1), representing a gain of 324.8% in oil yield when compared to the control. Thus, SMS increases biomass production and essential oil yield of basil plants.
A Janovec‐Kay‐Dunn‐Like Behavior at Thickness Scaling in Ultra‐Thin Antiferroelectric ZrO2 Films

Originally based on phenomenological observations, the Janovec–Kay–Dunn (JKD) scaling law has been historically used to describe the dependence of the ferroelectric coercive fields (Ec) on a critical length scale of the material, wherein the film thickness (t) is considered the length scale, and Ec ∝ t−2/3. Here, for the first time, a JKD‐type scaling behavior is reported in an antiferroelectric material, using the ultra‐thin films of prototypical flourite‐structure binary oxide, zirconia. In these films, a decrease in the ZrO2 layer thickness from 20 nm to 5.4 nm leads to an increase in critical fields for both nonpolar‐to‐polar (Ea), and polar‐to‐nonpolar (Ef) transitions, accompanied by a decrease in the average crystallite size, and an increase in the tetragonal distortion of the non‐polar P42/nmc ground state structure. Notably, the ‐2/3 power law as in the JKD law holds when average crystallite size (d), measured from glancing‐incident X‐ray diffraction, is considered as the critical length scale—i.e., Ea, Ef ∝ d−2/3. First principles calculations suggest that the increase of tetragonality in thinner films contributes to an increase of the energy barrier for the transition from the non‐polar tetragonal ground state to the field‐induced polar orthorhombic phase, and in turn, an increase in Ea critical fields. These results suggest a de‐stabilization of the ferroelectric phase with a decreasing thickness in antiferroelectric ZrO2, which is contrary to the observations in its fluorite‐structure ferroelectric counterparts. With the recent interests in utilizing antiferroelectricity for advanced semiconductor applications, our fundamental exposition of the thickness dependence of functional responses therein can accelerate the development of miniaturized, antiferroelectric electronic memory elements for the complementary metal‐oxide‐semiconductor based high‐volume manufacturing platforms.
CEO’s educational background, economic policy uncertainty and investment-cash flow sensitivity: evidence from India

ABSTRACT This study investigates the impact of Economic Policy Uncertainty (EPU) on Investment-Cash Flow Sensitivity (ICFS). Further, this study investigates whether CEO’s educational backgrounds moderate the effect of EPU on ICFS for Indian manufacturing firms from 2005 to 2019. Using the system-GMM, this study finds that EPU increases the role of cash flow for corporate investment and reduces corporate investment. Additionally, CEOs with an educational background in the finance domain (technical area) do (not) moderate the negative impact of EPU on ICFS. The finding of this study suggests that EPU considerably affects ICFS, and CEO’s educational backgrounds moderate the effect of EPU on ICFS. Overall, this study adds new insights into the research fields and the implications of this study are beneficial for economies, firms, managers, and investors.
Effect of Pulse Type and Substitution Level on Dough Rheology and Bread Quality of Whole Wheat-Based Composite Flours

Pulse flours are commonly added to food products to improve the functional properties, nutritional profiles, product quality and health benefits. This study aimed at assessing the effects of the partial replacement (0–25%) of whole wheat flour with diversified whole pulse flours (yellow pea, green pea, red lentil, and chickpea) on dough properties and bread quality. The pulse flours had higher protein contents and ash, but lower moisture content and larger average particle size, compared to whole wheat flour. Increasing the substitution level of pulse flours decreased dough viscosity, stability, development time and bread volume, and accelerated bread retrogradation. The incorporation of 5% yellow pea flour led to a similar bread quality as that with only whole wheat flour. Among all the tested pulse flours, the composite flour containing yellow pea flour or chickpea flour had overall better potential for bread making by providing good dough handling properties and product quality. This study will benefit the development of more nutritious food products by combining cereal and pulse ingredients.
Academic Achievement and Postsecondary Educational Attainment of Domestically and Internationally Adopted Youth

Abstract Adopted youth often do not achieve in school as well as their non-adopted peers. We used data from the High School Longitudinal Study to examine high school and postsecondary achievement outcomes in adopted youth. We compared outcomes for domestically adopted youth, internationally adopted youth, and non-adopted youth. Results indicate that domestically adopted youth have lower grade point averages. Internationally adopted youth were less likely to enroll in four-year postsecondary institutions than were non-adopted youth.
Causal Inference with Latent Treatments

: Social scientists are interested in the effects of low-dimensional latent treatments within texts, such as the effect of an attack on a candidate in a political advertisement. We provide a framework for causal inference with latent treatments in high-dimensional interventions. Using this framework, we show that the randomization of texts alone is insufficient to identify the causal effects of latent treatments, because other unmeasured treatments in the text could confound the measured treatment’s effect. We provide a set of assumptions that is sufficient to identify the effect of latent treatments and a set of strategies to make these assumptions more plausible, including explicitly adjusting for potentially confounding text features and nontraditional experimental designs involving many versions of the text. We apply our framework to a survey experiment and an observational study, demonstrating how our framework makes text-based causal inferences more credible. Verification Materials: The data and materials required to verify the computational reproducibility of the results, procedures, and analyses in this article are available on the American Journal of Political Science Dataverse within the Harvard Dataverse Network, at: https://doi.org/10.7910/DVN/MVDWCS.
LncRNA XIST functions as a molecular sponge of miR-1945 p to regulate MAPK 1 expression in hepatocellular carcinoma cell † Running head : LncRNA XIST functions in hepatocellular carcinoma cell

1Department of Emergency Medicine, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China 2Department of Infectious Diseases, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China 3Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China 4Department of Hepatobiliary Surgery, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China 5Department of Pathology, Guangdong Provincial Key Laboratory of Liver Disease Research, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
FACTORS THAT DELAY RETURN TO WORK OF COVID-19 POSITIVE HEALTH CARE WORKERS AT KSMC , MARCH- AUGUST 2020

This study about Factors that delay return to work of COVID-19 positive health care workers at King Saud medical city Riyadh Saudi Arabia.2020 Coronaviruses (CoV) are a large family of RNA viruses that cause illnesses ranging from the common cold to more severe diseases such as Middle East respiratory syndrome (MERS-CoV) and severe acute respiratory syndrome (SARS-CoV). The aim of this study is to determine the factors that delay return to return to work among COVID-19 positive HCPs also to study the relationship of the associated risk factors and the delay in return to work among positive COVID-19 HCPs and to minimize the delay in return to work among COVID-19 positive HCPs which will maintain staffing levels to provide adequate care to all patients. Health care professional is defined as all staff in the health care facility involved in the provision of care for a COVID-19 infected patient, including those who have been present in the same area as the patient, as well as those who may not have provided direct care to the patient, but who have had contact with the patient’s body fluids, potentially contaminated items or environmental surfaces. Sampling method: The design of the sampling for this study will be Stratified Random Sampling (StRS) cross section study. This study about Factors that delay return to work of COVID-19 positive health care workers at King Saud medical city Riyadh Saudi Arabia mc.2020 Coronaviruses (CoV) are a large family of RNA viruses that cause illnesses ranging from the common cold to more severe diseases such as Middle East respiratory syndrome (MERS-CoV) and severe acute respiratory syndrome (SARS-CoV). The aim of this study is to determine the factors that delay return to return to work among COVID-19 positive HCPs also to study the relationship of the associated risk factors and the delay in return to work among positive COVID-19 HCPs and to minimize the delay in return to work among COVID-19 positive HCPs which will maintain staffing levels to provide adequate care to all patients. Health care professional is defined as all staff in the health care facility involved in the provision of care for a COVID-19 infected patient, including those who have been present in the same area as the patient, as well as those who may not have provided direct care to the patient, but who have had contact with the patient’s body fluids, potentially contaminated items or environmental surfaces. Sampling method: The design of the sampling for this study will be Stratified Random Sampling (STRS) cross section study will use SPSS to analysis.
Detecting Coronavirus from Chest X-rays Using Transfer Learning

Coronavirus disease (COVID-19) is an illness caused by a novel coronavirus family. One of the practical examinations for COVID-19 is chest radiography. COVID-19 infected patients show abnormalities in chest X-ray images. However, examining the chest X-rays requires a specialist with high experience. Hence, using deep learning techniques in detecting abnormalities in the X-ray images is presented commonly as a potential solution to help diagnose the disease. Numerous research has been reported on COVID-19 chest X-ray classification, but most of the previous studies have been conducted on a small set of COVID-19 X-ray images, which created an imbalanced dataset and affected the performance of the deep learning models. In this paper, we propose several image processing techniques to augment COVID-19 X-ray images to generate a large and diverse dataset to boost the performance of deep learning algorithms in detecting the virus from chest X-rays. We also propose innovative and robust deep learning models, based on DenseNet201, VGG16, and VGG19, to detect COVID-19 from a large set of chest X-ray images. A performance evaluation shows that the proposed models outperform all existing techniques to date. Our models achieved 99.62% on the binary classification and 95.48% on the multi-class classification. Based on these findings, we provide a pathway for researchers to develop enhanced models with a balanced dataset that includes the highest available COVID-19 chest X-ray images. This work is of high interest to healthcare providers, as it helps to better diagnose COVID-19 from chest X-rays in less time with higher accuracy.
Developing characteristics of an intrapreneurship-supportive culture

Intrapreneurship is a topic with a high attraction equally to many scholars and managers in companies of any size nowadays. It is defined as entrepreneurship within existing organizations and became a subject of interest because of its effects on organizational revitalization, innovation, and the creation of new business activity. Intrapreneurship is especially important in the context of industrial R&D to develop radical product innovation as the initial phases to create new domains of business that are unrelated to the current mainstream activity of the established firm. This paper aims at developing characteristics of an intrapreneurship-supportive culture in order to facilitate intrapreneurship over time – that is, to make it happen again and again. An emergent body of literature stresses that entrepreneurial and innovating behaviours of both individuals and firms depend on cultural factors. However, still it is not fully clear how to define, build, and measure such culture that supports intrapreneurship in industrial R&D. Therefore, an extensive literature investigation has been conducted in order to identify relevant culture-bound factors that support intrapreneurship in industrial R&D. In total, 101 scientific but also practice-oriented contributions in the domain of innovation, entrepreneurship, and intrapreneurship have been studied. Guided by theory on national, professional, and corporate culture, a six-dimensional framework of intrapreneurship-supportive culture has been conceptualized. Keywords: intrapreneurship, innovation, national culture, professional culture, corporate culture.
Effect of β-Fe Precipitates on the Mechanical Behavior of Al-Si Alloys with Critical Fe, Inoculated via Nb+B and Precipitation Hardened

The challenge of this research is to produce safety parts in Al-Si alloys with Fe-critical. The innovation is in studying the morphology of β-Fe and Mg 2 Si precipitates in the mechanical behavior of the material after the addition of NbB and the heat treatment. Aiming to improve the mechanical properties of AlSi alloys coming from recycling (Fe-critical) by manipulating the β-Fe precipitates and maintaining the Mg 2 Si precipitates. The samples were cast with Al10Si1Fe0.35Mg alloy, inoculated via NbB, and pouring in a metal mold according to ASTM B108. The microstructure was analyzed with BSE-SEM and EDS. The work investigated the morphology of β-Fe precipitates and their effects and interactions on the material’s mechanical properties. The combined effect of the addition of NbB and Mg elements, with subsequent artificial aging of the material, resulted in the reduction and spheroidization of the β-Fe precipitates, providing higher proof strength (YS=207.71MPa), Ultimate Tensile Strength (UTS=300.35MPa) and elongation of 4.66 %.
Distribución del ave fragata común (Fregata magnificens Mathews, 1914) durante eventos anómalos positivos en el litoral norte centro del Perú. 2015 - 2019

El presente trabajo está basado en el análisis espacio-temporal del ave fragata (Fregata magnificens) relacionado a temperatura y salinidad superficial del mar y el índice ICEN, mediante el análisis multivariado de componentes principales, cuya respuesta es la distribución espacio temporal de la especie, explicando la asociación de la distribución con los eventos anómalos positivos El Niño 2015-2016 y El Niño Costero 2017. El área de estudio comprendió desde 4°S al norte de Paita hasta 12°S frente a Callao, de octubre 2015 a diciembre 2019. A la especie se observó hasta 7°S, relacionado con la intromisión de Aguas Ecuatoriales Superficiales (AES) desde el norte y al acercamiento de las Aguas Subtropicales Superficiales (ASS) desdeel oeste hasta 20 mn de la costa. La importancia de la distribución espacio-temporal del ave fragata radica en la evidencia de que se trataría de un indicador biológico ante el calentamiento progresivo de las aguas superficiales y el ambiente durante eventos anómalos como El Niño.
Environmental Conditions during Development Affect Sexual Selection through Trait-Fitness Relationships

Sexual selection can be shaped by spatial variation in environmental features among populations. Differences in sexual selection among populations generated through the effects of the environment could be shaped via four paths: differences in mean absolute fitness, differences in the means or variances of phenotypes, or differences in the absolute fitness–trait function relationship. Because sexual selection occurs only during the adult life stage, most studies have focused on identifying environmental features that influence these metrics of fitness and trait distributions among adults. However, these adult features could also be affected by environmental factors experienced in early life stages that then shape the trajectory for sexual selection during the adult life stage. Here we investigated how among-population variation in environmental conditions during the juvenile (larval) stage of two species of Enallagma damselflies shapes sexual selection on male body size. We found that environmental factors related to predation pressures, lake primary productivity, and habitat availability play a role in shaping spatial variation in sexual selection. This acts mainly through how the environment affects absolute fitness–body size associations, not spatial variation in mean fitness or body size means and variances. These results demonstrate that the underpinnings of sexual selection in the wild can arise from environmental conditions during prereproductive life stages.
Corporate governance and R&D investment: the role of debt financing

This paper examines the role of debt financing in the relationship between corporate governance and research and development (R&D) investment using a sample of publicly traded U.S. pharmaceutical firms from 2009 to 2018. The results show a positive and significant association between corporate governance mechanisms (such as board size, board independence, board gender diversity, and ownership concentration) and R&D investment and a negative and significant association between debt financing and R&D investment. In addition, we show that debt financing plays a moderating role and a partial mediating role in the relationship between corporate governance mechanisms and R&D investment. Specifically, debt financing attenuates the negative effect of board size on R&D investment and accentuates the positive effect of ownership concentration on R&D investment. Our study helps to shed light on a close and complex relationship existing between the firm’s choices of corporate governance, debt financing, and R&D investments, which the previous literature has so far examined in a partial and fragmented way. To ensure effective R&D investment, firms need to consider the effect of debt financing on corporate governance decisions.
Revisión sistemática de la investigación sobre el uso del mindfulness en la educación física

Objective: This systematic review aimed to review the articles published in the last six years on the use of mindfulness in physical education at the different educational levels, as well as their main conclusions. Method: Articles published from 2014 to 2020 were analyzed using the ERIC, Taylor and Francis, Web of Science and SCOPUS databases, based on the PRISMA guidelines and the PICO model. The information extracted from the selected articles was: Author and year, country, language, educational level and number of participants, duration, type of research, objectives, results, and mindfulness program used. Results: 15 articles have been included. Most of these articles were published in the United States, without any representation in Spain, and in secondary education, with an average duration of the interventions of 3 to 10 weeks. Regarding the type of research, quantitative versus qualitative stand out. The results confirm the benefits of mindfulness in improving the development of emotional education, mindfulness, awareness skills, self-efficacy, self-regulation, reduction of stress, sports performance and physical activity. The mindfulness programs used were MBP, MAC, MMA, MSPE and MMTS. Conclusions: Despite the corroborated benefits of mindfulness in sports, in Spain, compared to other countries, research on mindfulness and school physical education is practically non-existent, especially at the primary, infant and vocational training levels.