Miracle-dz/UniFAR-FTUs huggingface dataset:
Core Self-evaluation, Generativity, and Religious Experiences as Predictors of Social Support Giving and Its Relation to Happiness in Thai Elderly

The older population in the 21th century usually live a longer and healthier life. This pinpoint the necessary and sufficient factors for their empowerment and sustainability. Therefore, this study aims at investigating possible antecedents of social support giving behavior of elderly and its relation to Buddhist type of happiness. A group of 395 older adults with ages range from 59 to 90 years old responded to a set of questionnaires. Multiple regression analysis reveals that having role models, Buddhist belief and practice, elderly school attendance, and generativity trait were the important predictors of social support giving behavior. Predictive power in the total sample was 39.74%, and between 33.66% to 53.82% in subgroups. In addition, social support giving behavior is related to greater Buddhist happiness, and higher core self-evaluation. Suggestions for enhancing empowerment and sustainability living of the older rural population are offered.
Research of Parameters of a Compression Ignition Engine Using Various Fuel Mixtures of Hydrotreated Vegetable Oil (HVO) and Fatty Acid Esters (FAE)

The present study is aimed at studying the energy and environmental performance at various engine loads (BMEP) with identical start of injection (SOI) for all fuel types. The combustion parameters for the fuel mixtures were analyzed using the AVL BOOST software (BURN subroutine). Five different blends were tested, consisting completely of renewable raw materials based on hydrotreated vegetable oil (HVO) and fatty acid methyl ester (FE100), and the properties of diesel fuel (D) were compared with respect to these blends. The mixtures were mixed in the following proportions: FE25 (FE25HVO75), FE50 (FE50HVO50), FE75 (FE75HVO25). In this study, diesel exhaust was found to produce higher NOx values compared to FE blends, with HVO being the lowest. Hydrocarbon and smoke emissions were also significantly lower for blends than for diesel. Possible explanations are the physical properties and fatty acid composition of fuel mixtures, affecting injection and further combustion. The results showed that blends containing more unsaturated fatty acids release more nitrogen oxides, thus having a lower thermal efficiency compared to HVO. No essential differences in CO emissions between D and HVO were observed. An increase in this indicator was observed at low loads for mixtures with ester. CO2 was reduced in emissions for HVO compared to the aforementioned blends and diesel. The results of the combustion analysis show that with a high content of unsaturated fatty acids, mixtures have a longer combustion time than diesel fuel.
Linking Cyberbullying to Job Strain: Roles of Ego Depletion and Self-Efficacy

ABSTRACT Workplace Cyberbullying plays a vital role in influencing employees’ mental health. This study explored the underlying mechanism with which cyberbullying influenced job strain in employees at the episode level within the framework of ego depletion theory. Using the experience sampling method, this study collected 750 matched data from 150 full-time workers in mainland China over five consecutive days. Via multilevel analysis, daily workplace cyberbullying was found to increase victims’ ego depletion and thus lead to increased job strain. Furthermore, the victims’ self-efficacy buffered the indirect relationship between daily cyberbullying and job strain through ego depletion. The indirect relationship was stronger when victims possessed low self-efficacy compared with high self-efficacy. This study provides episodic evidence for the negative influences of workplace cyberbullying on employees’ job strain.
INTERACTIVE EFFECT OF AMMONIUM AND NITRATE ON THE NITROGEN UPTAKE AND BIOMASS PRODUCTION BY Chlorella vulgaris IN DIFFERENT ENVIRONMENTAL CONDITIONS

Microalgae assimilate different types of nitrogen by interacting in different areas. The interactive effect of uptake rate and biomass production of Chlorella vulgaris was investigated under summer and fall environmental conditions. C. vulgaris was cultivated in a media containing 1 mM NH4Cl, 0.5 mM NH4Cl + 0.5 mM KNO3, and 1 mM KNO3 as the nitrogen source. Nitrate and ammonium was more rapidly utilized when both were available. C. vulgaris preferred ammonium to nitrate in the fall condition, but both nitrate and ammonium were completely assimilated in the summer condition. The uptake rate of nitrate and ammonium in the summer condition was significantly higher (p < 0.01) than in the fall condition and the summer/ fall ratio for nitrate uptake (290%) was significantly higher (p < 0.01) than for ammonium (120%). In all experiments, biomass production in the summer condition was significantly higher than fall condition (p < 0.01). The highest biomass was during the summer condition (5 g/l (f wt)) from the medium containing NO3 - as the nitrogen source. C. vulgaris recorded faster growth in the NO3 - and (NO3 - + NH4 +) media than in the NH4 + medium. The summer/fall ratio of biomass production was 235%, 300%, and 265% for the media containing NO3 - , NH4 + , and (NO3 - + NH4 + ), respectively.
Developmental Trajectories of Written Language Precursors according to Socioeconomic Status

Abstract There is resounding evidence of the existence of direct precursors of written language, most specifically phonological awareness, letter knowledge, vocabulary, and oral comprehension. The initial differences identified in the development of written language precursors are directly related to subsequent students’ academic trajectories. Socioeconomic status is a significant source of initial differences in performance, with discrepancies in the development of reading precursors favoring children from more affluent backgrounds. We assessed reading precursors in 176 Chilean children from different socioeconomic levels. Significant differences in performance were found, which tended to favor the higher socioeconomic groups for each precursor we tested. However, the developmental trajectories of skills were similar for phonological awareness, letter knowledge, vocabulary, and oral comprehension. A compensatory trajectory was observed only in the case of rapid naming. The problem arises from the need for educational systems to adapt to the specific needs of their students, in order to generate compensatory trajectories in all reading precursor skills and enable a decrease in the gaps in reading performance among children from different socioeconomic backgrounds.
Coexistence of Square Pyramidal Structures of Oxo Vanadium (+5) and (+4) Species Over Low-Coverage VOX/TiO2 (101) and (001) Anatase Catalysts

We investigate the structural properties and coordination of VOX species supported on the facets of anatase TiO2 as the oxidation state changes during the catalytic cycle of selective catalytic reduction (SCR) of NOX. Density functional theory (DFT) calculations reveal how the molecular structures of hydrated, low-coverage V sites depend on the surface facet of the TiO2 (anatase) support. Thus, the support effect is not limited to only disperse the active phase but also dictates its shape and ultimately its reactivity. We find that hydrated VOX species, where V is present in oxidation state +5, are present in distorted tetrahedral configurations on the most stable TiO2(101) facet, whereas on the less stable TiO2(001) facet they are present in distorted octahedral configurations. Furthermore, we find the reduced states of the same species where V is present in oxidation state +4 also exhibit unchanged local coordination with the vanadyl unit V═O intact. We support the findings by electron paramagnetic reso.
Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory‐Based Inference Hardware

Neural networks cannot typically be trained locally in edge‐computing systems due to severe energy constraints. It has, therefore, become commonplace to train them “ex situ” and transfer the resulting model to a dedicated inference hardware. Resistive memory arrays are of particular interest for realizing such inference hardware, because they offer an extremely low‐power implementation of the dot‐product operation. However, the transfer of high‐precision software parameters to the imprecise and random conductance states of resistive memories poses significant challenges. Here, it is proposed that Bayesian neural networks can be more suitable for model transfer, because, such as device conductance states, their parameters are described by random variables. The ex situ training of a Bayesian neural network is performed, and then, the resulting software model is transferred in a single programming step to an array of 16 384 resistive memory devices. On an illustrative classification task, it is observed that the transferred decision boundaries and the prediction uncertainties of the software model are well preserved. This work demonstrates that resistive memory‐based Bayesian neural networks are a promising direction in the development of resistive memory compatible edge inference hardware.
Modelling of a packed bed membrane reactor for Fischer Tropsch synthesis

In this project a numerical model is used to perform a feasibility study on the effects of the usage of membranes in a Fischer Tropsch reactor. A 1D packed bed membrane reactor (PBMR) model has been used to solve the kinetic model of the Fischer Tropsch synthesis (FTS) over a Co/Al2O3 and a Ru-B/TiO2 catalyst. With this model a numerical feasibility study has been performed and compared to experimental results from the reactor at CSIC, Spain. A membrane has been implemented in the packed bed reactor to improve the reactor performance. Two different set-ups have been considered: the feeding of H2 via a Pd-Ag membrane to optimize the H2/CO ratio, and the subtraction of H2O via different membranes to optimize the reactor performance. In this project the main focus lies with the H2 addition along the reactor axis. Validation has been performed on the kinetic model used to simulate the FTS, on the reactor model for an isothermal and non-isothermal first order reaction and specifically for the membrane section of the reactor model. The used kinetic model has been improved for the Ru-B/TiO2 catalyst and this model has been validated with an experimental dataset obtained by CSIC. Finally a feasibility study on the reactor performance with the selective feeding of H2 has been performed over a wide range of operating conditions. Feeding H2 via the membrane has shown an increase in the production of higher hydrocarbons and a decrease in the formation of methane, while a same conversion has been obtained. Modelling of a packed bed membrane reactor for Fischer Tropsch synthesis iii
A pharmacovigilance study in patients of chronic non-infective respiratory diseases attending outpatient department of pulmonary medicine in a tertiary care teaching hospital

Background: Adverse drug reactions (ADR) are the known dangers of any medicinal therapy. They are not only responsible for increasing the mortality and morbidity but also for multiplying the health care expenditure. It is important to monitor the adverse effects of the drugs in the patients on treatment for chronic non-infective respiratory diseases attending OPD of pulmonary medicine in a tertiary care teaching hospital Methods: The study was single-centric, non-randomized and observational hospital-based study which was carried out for a period of 1 and a half years in JJ Hospital. The patients who were included in the study suffered from either of the 4 diseases-Chronic obstructive pulmonary disease (COPD), asthma, bronchiectasis or interstitial lung diseases (ILD). Data were analyzed by using Microsoft excel sheet. Based on the outcome of modified Hartwig and Siegel severity assessment scale, ADRs were grouped into various severity categories. Results: One hundred and thirty-two number of ADRs were seen in 69 out of 352 patients (19.6 %) of the study population. The occurrence of ADR was found slightly higher in males i.e., 53.62% as compared to females i.e., 46.38%. The patients who were on treatment for ILD showed highest percentage of ADRs i.e., 57.89% which is followed by bronchiectasis (17.39%), COPD (16.17%) and lastly asthma (10.26%). The ADRs belonging to GIT system were highest in number i.e., 80. The most frequently occurring ADR in the study was palpitation which occurred in 14 cases i.e., 20.29%. Out of 132 ADRs observed, 96 i.e., 72.73% belonged to the mild category and 36 ADRs i.e., 27.27% belonged to the moderate category. Not a single severe ADR was found in the study. Conclusions: It was found that 19.6% of the patient population suffered from ADRs, which is a considerable number. It is essential that health care professionals should support ADR monitoring process for the safety of the medicinal product. Proper implementation of ADR monitoring will help to reduce the harmful effects by early detection of drug safety problems in patients, assessing the risk-benefit in an individual and the population, improving the selection, rational use of drugs through the provision of timely warning to healthcare professionals.
Experimental investigations of oxygen-separating ion transport membranes for clean fuel synthesis

Ion transport membranes (ITMs) are dense ceramic membranes which have the potential for 100% selective separation of oxygen from air. ITMs operate at extreme temperatures (>800∘C), necessary for the mobility of lattice oxygen ions: this can result in signiicant experimental challenges. Speciically, the local gas compositions at both the high oxygen (air) and low oxygen (sweep) surfaces inluence the oxygen lux: these experimental measurements have not been available until now. A novel ITM research reactor has thus been developed which can directly sample gases at the membrane surface at high temperature lux conditions. This ITM reactor has been scaled up to allow for gas-probing instruments to be used without overly disrupting the experimental lowield. The ITM stoichiometry investigated in this study is La0.9Ca0. 1FeO3−δ (LCF), and has been chosen for its chemical stability attributes and consequent applicability to industry. Two modes of operation have been investigated using the LCF ITM in the reactor: inert (using CO2 sweep gas to carry away an oxygen-enriched stream) and reactive (using CO2:CH4 sweep gas resulting in fuel reactions with the permeating oxygen). There is a huge advantage to running ITMs reactive: the oxygen lux can be enhanced by an order of magnitude or more, whilst useful fuel synthesis reactions can be actively enhanced by the catalytic ITM surface. This study therefore utilizes the local measurement capabilities of the novel ITM reactor to develop a physical understanding through oxygen lux models for both modes of operation: inert and reactive. Both lux models enable the prediction of the oxygen lux with the operating conditions necessary as input parameters. They are therefore useful tools for future optimization of ITM reactor designs. Further insight using the lux models is also provided. The inert lux model is used to determine the surface oxygen vacancy concentration which drives the oxygen lux. The reactive lux model is used in preliminary numerical simulations of ITM reactors to produce lux performance maps based on the input operating conditions.
Cassius Dio's figures for the demographic consequences of the Bar Kokhba War: Exaggeration or reliable account?

Scholars have long doubted the historical accuracy of Cassius Dio's account of the consequences of the Bar Kokhba War (Roman History 69.14). According to this text, considered the most reliable literary source for the Second Jewish Revolt, the war encompassed all of Judea: the Romans destroyed 985 villages and 50 fortresses, and killed 580,000 rebels. This article reassesses Cassius Dio's figures by drawing on new evidence from excavations and surveys in Judea, Transjordan, and the Galilee. Three research methods are combined: an ethno-archaeological comparison with the settlement picture in the Ottoman Period, comparison with similar settlement studies in the Galilee, and an evaluation of settled sites from the Middle Roman Period (70–136 CE). The study demonstrates the potential contribution of the archaeological record to this issue and supports the view of Cassius Dio's demographic data as a reliable account, which he based on contemporaneous documentation.
Supplementary material to "On the circulation, water mass distribution, and nutrient concentrations of the western Chukchi Sea"

Abstract. Substantial amounts of nutrients and carbon enter the Arctic Ocean from the Pacific Ocean through Bering Strait, distributed over three main pathways. Water with low salinities and nutrient concentrations takes an eastern route along the Alaskan coast, as Alaskan Coastal Water. A central pathway exhibits intermediate salinity and nutrient concentrations, while the most nutrient-rich water enters Bering Strait on its western side. Towards the Arctic Ocean the flow of these water masses is subject to strong topographic steering within the Chukchi Sea with volume transports modulated by the wind field. In this contribution we use data from several sections crossing Herald Canyon collected in 2008 and 2014 together with numerical modeling to investigate the circulation and transport in the western part of the Chukchi Sea. We find that a substantial fraction of water from the Chukchi Sea enters the East Siberian Sea south of Wrangel Island and circulates in an anticyclonic direction around the island. This water then contributes to the high nutrient waters of Herald Canyon. The bottom of the canyon has the highest nutrient concentrations, likely as a result of addition from the degradation of organic matter at the sediment surface in the East Siberian Sea. The flux of nutrients (nitrate, phosphate, and silicate) and dissolved inorganic carbon in Bering Summer Water and Winter Water is computed by combining hydrographic and nutrient observations with geostrophic transports referenced to LADCP and surface drift data. Even if there are some general similarities between the years, there are differences in both the temperature-salinity and nutrient characteristics. To assess these differences, and also to get a wider temporal and spatial view, numerical modeling results are applied. According to model results, high frequency variability dominates the flow in Herald Canyon. This leads us to conclude that this region needs to be monitored over a longer time frame to deduce the temporal variability and potential trends.
Effect of computerized biofeedback relaxation on stress related physiological parameters

Background: Mental health diseases such as insomnia, anxiety, stress and depression all have a close relationship with the autonomic nervous system. The physiological parameters of autonomic activity viz. galvanic skin resistance, electromyography, respiration and pulse rate can be regulated with the help of computerized biofeedback relaxation training. The main objective of this study was to see the effect of computerized biofeedback relaxation training on psychophysiological parameters of autonomic activity.Methods: In the present study 40 high stress post graduate students were selected. All participants were randomly divided into two group i.e. computerized biofeedback relaxation training (group-1) and placebo group (group-2). Forehead muscle tension, respiration rate, pulse rate and galvanic skin resistance were assessed, and inventories measuring stress were administered pre-randomization. Descriptive, Paired sample ‘t’ test, F-test and Mann-Whitney U test were used to analyze the data with the help of SPSS 16 version.Results: Biofeedback group reported a signiﬁcant change in muscle tension (p=0.27), respiration rate (p=0.01) and galvanic skin response (p=0.35) after relaxation but at the same time control group reported moderate increase in muscle tension. Additionally, the computerized biofeedback group was able to maintain the stress level while the control group had a signiﬁcant increase in the stress level over the 10 days of relaxation training.Conclusions: Biofeedback relaxation useful alternative therapy for management of stress and emotional disturbance in graduate students. During a stressful period this may also be helpful to promote overall psychological health.
Experimental Study of the Interaction between NaOH, Surfactant, and Polymer in Reducing Court Heavy Oil/Brine Interfacial Tension

The effect of the surfactant, NaOH, and polymer and the interactions between them on the heavy oil/water interface are unveiled by studying the dynamic interfacial tension (IFT), minimal transient IFT, and total organic carbon (TOC) and analyzing the phenomenon during the measurement of IFT of heavy oil/different alkaline systems, including alkaline (A), alkaline–surfactant (AS), alkaline–polymer (AP), and alkaline–surfactant–polymer (ASP). The results show that there exists a minimum transient IFT. There is an optimal composition to achieve the minimal IFT with varying NaOH concentrations in 0.018–0.8 wt %. For different chemical solutions, the optimal composition is different. Adding polymer affects the IFT by influencing the diffusion of species to or from the interface. Despite polymer addition, adding surfactant will increase the IFT at a lower alkaline concentration because of its competitive adsorption with OH– and reduce the IFT at a higher alkaline concentration because of its synergistic effect.
Is Negative Group Affective Tone Always Bad For Team Creativity? Team Trait Learning Goal Orientation as the Boundary Condition

Although previous studies have found that positive group affective tone is generally good for team creativity, the reported effects of negative group affective tone (NGAT) are mixed. Drawing on the team goal orientation composition literature, we propose that team trait learning goal orientation (TTLGO; aggregated level of team members’ trait learning goal orientation) will moderate the relationship between NGAT and team creativity. Specifically, NGAT will be positively related to team creativity when TTLGO is high but becomes negative when TTLGO is low. We further theorize that team information exchange accounts for this moderating effect. Employing a multiple-source and time-lag design, we conducted two studies to test the hypotheses. In Study 1, we collected data from 270 information technology engineers working in 62 R&D teams in a software development company and examined the moderating effect of TTLGO on the NGAT-team creativity relationship. In Study 2, we replicated the findings of Study 1 and further tested the mediating role of team information exchange (i.e., Hypothesis 2) using data from 237 members of 43 diversified teams (e.g., R&D, advertising and marketing, technical services, and quality improvement). The results of these two studies support our hypotheses. Theoretical and practical implications for group affect and creativity literature are further discussed.