Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining Applicant Online Recruitment: The Use of Fictitious Websites in Experimental Studies

Advancements in technology enable hospitality organizations to rely on digital recruitment efforts such as websites to attract applicants. Reflecting this industry trend, a small, but growing body of literature from the hospitality industry examines how applicants react to online recruiting using fictitious websites of hypothetical companies in experiments. The purpose of this article is to validate the use of fictitious websites as an experimental data collection method. Two quasi-experiments were guided by theories and model of applicant perceptions of fit and organizational attraction. Fit was manipulated by matching the career preference of active job seekers (e.g., a job seeker in the hotel sector) with a fictitious website (e.g., a hotel’s careers page) or not (control group). The results from the two quasi-experiments showed person–organization fit (Study 1) and person–job fit (Study 2) led to more organizational attraction under conditions of matches (e.g., a job seeker in the hotel sector evaluating a hotel’s careers page) than in the control groups. The findings of the two studies not only support the use of fictitious websites as a viable data collection method but also open a new line of research for hospitality research and human resources. Future hospitality scholars can use this technique to manipulate organization’s human resource practices (e.g., recruitment, selection, training, performance evaluation, compensation, and benefits) and examine attitudes of individuals (e.g., applicants, employees, and managers). The current data collection method also allows for researchers to not only manipulate information but also maximize the realism of the experimental stimuli.
Does Underthrusting Crust Feed Magmatic Flare‐Ups in Continental Arcs?

Episodic magmatic flare‐ups are documented in many continental arcs worldwide. Yet, the causes of such episodicity and the sources feeding the flare‐ups are not well‐understood. In this study, we use a 1‐D numerical model and scaling analysis to assess the mass balance and thermodynamic feasibility of generating arc magma as a result of partial melting of underthrusted retro‐arc lower crust. Results show the magma volumetric flux or magmatic thickening rate, is directly correlated with the crustal underthrusting rate and the relative timescales of heat transfer and underthrusting. For a continental arc with dimensions similar to the Sierra Nevada arc in California, we show with a constant underthrusting rate of 5 km/Myr, the magmatic thickening rate is 0.1–0.3 km/Myr. This is slightly below the baseline of arc magma thickening rate (∼0.3 km/Myr) from the mantle wedge and accounts for 10%–30% of the magmatic thickening rate during a flare‐up. The cumulative volume of magma generated from the partial melting of a 20‐km‐thick underthrusted lower crust is on the order of 105 km3, about 10%–40% of the estimated magma volume generated during a flare‐up. Therefore, we argue partial melting of underthrusted lower crust plays a partial or subsidiary role in driving a magmatic flare‐up event. Additional melts from the mantle and/or other crustal sources are needed to achieve the observed magmatic output during flare‐ups. The arc root developed by partial melting of the underthrusted crust reduces the time needed to obtain the critical thickness for root foundering, thus influencing the tempo of arc magmatism.
Graduate students as surrogates for managers in business intelligence and analytics research: a preliminary study

ABSTRACT Business intelligence and analytics (BI&A) research has been dominated by conceptual studies, simulations, and case studies, but as the field matures, experimentation is increasing. The use of students as surrogates for managers in experiments is a widespread practice in business research. Managers are difficult to recruit and organise for experimental sessions, adding to the time span and cost of a research project. This paper reports on an experiment where students and managers used a BI&A system to make simulated business decisions. The experiment is the first stage of a larger project. The study found that there were no significant differences between student and manager performance in terms of decision-making quality and efficiency, and they had similar perceptions of BI&A systems use. This paper provides preliminary evidence that high performing graduate students may be used as surrogates for managers for investigations concerning structured decisions that are supported by BI&A systems.
Mapping the EU tomato supply chain from farm to fork for greenhouse gas emission mitigation strategies

Tomato and tomato products are the most consumed vegetables worldwide. However, reduction of their relatively high emission intensity can be a key to mitigating greenhouse gas (GHG) emissions of the agrifood sector. Using the European Union (EU) and its 28 member states as example, we mapped the mass flow and analyzed the efficiency of the entire tomato supply chain from farm to fork for the year 2016. We then explored potentials of a full spectrum of GHG emission mitigation strategies ranging from production‐efficiency improvement to process optimization, food‐waste reduction, trade‐pattern change, and diet‐structure change, both individually and in an integrated framework. The results showed that 63% of tomato loss and waste occurred at the processing and consumption stages (over half in Italy and Spain), and 54% of GHG emissions were from production (notably greenhouse based). Although the reduction of tomato products consumption (considered as the substitution by other vegetables) presented the highest potential of emissions reduction, reducing retailing and consumption waste were found to have great effect on GHG emissions reduction as well for all EU member states, especially for United Kingdom and Germany. The combined effects of different mitigation strategies with high levels of change could reduce GHG emissions by 39% compared to the current level.
Using a Large‐n Seismic Array to Explore the Robustness of Spectral Estimations

Spectral analysis is widely used to estimate and refine earthquake source parameters such as source radius, seismic moment, and stress drop. This study aims to quantify the precision of the single spectra and empirical Green's function spectral ratio approach using the Large‐n Seismic Survey in Oklahoma (LASSO) array. The dense station coverage in an area of local saltwater disposal offers a unique opportunity to observe and quantify radiation pattern effects and subsequent precision of spectral estimates of small earthquakes (M < 3). The results suggest that the precision of source properties estimated from direct phase arrivals for arrays with less than 20 stations should be assumed to be not less than 30% and could be as high as 150% if less than five stations are used. Furthermore, we do not see clear evidence for, or against, a scaling of stress drop with magnitude of small earthquakes (M < 3) as observed by other studies.
Assessing Effect of Marker-Based Improvement of Maize Synthetics on Agronomic Performance, Carotenoid Content, Combining Ability and Heterosis

Vitamin A deficiency (VAD) is a serious problem in sub-Saharan Africa (SSA) and other parts of the world. Understanding the effect of marker-based improvement (MARS) of two maize synthetics (HGA and HGB) representing different heterotic groups on their agronomic performance, carotenoid content, and combining abilities could help identify suitable sources to develop divergent inbred lines for optimizing heterosis. This study involved three selection cycles each of the two synthetics and their nine varietal-cross hybrids together with a released check variety was conducted across four diverse locations in Nigeria in 2018 and 2019. Environment and hybrid effects were significant on grain yield and other agronomic traits as well as provitamin A content and other carotenoids. Genetic improvement per cycle of MARS in the parental synthetics was 15% for provitamin A, 25% for β-carotene and 26% for lutein in HGA and 4% for grain yield, 3% for zeaxanthin and 5% for α-carotene in HGB. Grain yield and agronomic traits of the two maize synthetics were controlled by additive and non-additive gene effects, while provitamin A content and other carotenoids were mainly controlled by additive gene effects. Some selection cycles which were high in grain yield and provitamin A content were identified as potential sources of new and divergent maize inbred lines in maize breeding programs. Some varietal-cross hybrids expressed significant mid-parent heterosis for grain yield and moderate mid-parent heterosis for provitamin A, β-carotene and xanthophylls. These hybrids could be commercialized at reasonable prices to small-scale farmers in rural areas that are most affected by vitamin A deficiency.
CUDA-Based Particle Swarm Optimization in Reflectarray Antenna Synthesis

The synthesis of electrically large, highly performing reflectarray antennas can be computationally very demanding both from the analysis and from the optimization points of view. It therefore requires the combined usage of numerical and hardware strategies to control the computational complexity and provide the needed acceleration. Recently, we have set up a multi-stage approach in which the first stage employs global optimization with a rough, computationally convenient modeling of the radiation, while the subsequent stages employ local optimization on gradually refined radiation models. The purpose of this paper is to show how reflectarray antenna synthesis can take profit from parallel computing on Graphics Processing Units (GPUs) using the CUDA language. In particular, parallel computing is adopted along two lines. First, the presented approach accelerates a Particle Swarm Optimization procedure exploited for the first stage. Second, it accelerates the computation of the field radiated by the reflectarray using a GPU-implemented Non-Uniform FFT routine which is used by all the stages. The numerical results show how the first stage of the optimization process is crucial to achieve, at an acceptable computational cost, a good starting point. INDEX TERMS Reflectarray antenna synthesis, CUDA, parallel programming, Graphics Processing Units (GPUs), Particle Swarm Optimization.
The Role of Risk Culture in Enterprise Risk Management Implementation

Enterprise Risk Management (ERM) and risk culture academics and practitioners have argued that they are inherently related without empirical evidence. They continue to advocate for their implementation by firms to face the dynamic business environment with certainty. The lack of empirical evidence to underpin this relationship partly contributes to their fragmented implementation and the lack of proper attention to risk culture in ERM implementation. The challenge in measuring these two abstract concepts contributes to their dichotomous measures in the literature, with most studies concentrated in the developed economies. The study objective is to provide a comprehensive measurement of the two constructs and empirically determine their relationship in the less-researched context of Africa. The study results empirically confirm risk culture and ERM to have a significant positive relationship. A firm's size and financial leverage were found to be significant determinants for ERM implementation, whereas capital opacity, financial slack, and board composition are not. Organizational leaders are advised by the study not to treat risk culture and ERM as substitutes but as complements. A sound risk culture provides a solid base for ERM implementation. Risk culture should be managed and developed in full alignment with the risk appetite and the ERM framework to improve organizational performance. These shall enable the promotion of a risk-aware culture and ingraining risk-related measures into performance management that help drive the organization forward. The constructs measures presented in the study can be used by academics and risk practitioners to determine the level of risk culture and ERM implementation in organizations.
Using a Personality-Profiling Algorithm to Investigate Political Microtargeting: Assessing the Persuasion Effects of Personality-Tailored Ads on Social Media

Political advertisers have access to increasingly sophisticated microtargeting techniques. One such technique is tailoring ads to the personality traits of citizens. Questions have been raised about the effectiveness of this political microtargeting (PMT) technique. In two experiments, we investigate the causal effects of personality-congruent political ads. In Study 1, we first assess participants’ extraversion trait by means of their own text data (i.e., by using a personality profiling algorithm), and in a second phase, target them with either a personality-congruent or incongruent political ad. In Study 2, we followed the same protocol, but instead targeted participants with emotionally-charged congruent ads, to establish whether PMT can be effective on an affect-based level. The results show evidence that citizens are more strongly persuaded by political ads that match their own personality traits. These findings feed into relevant and timely contributions to a salient academic and societal debate.
Journey Attributes, E-Bike Use, and Perception of Driving Behavior of Motorists as Predictors of Bicycle Crash Involvement and Severity

Previous studies have revealed the relevance of e-bike use, perception of driving behavior of motorists, and instrumental and affective factors in work and leisure journeys among regular cyclists. However, the importance of these factors as predictors of bicycle crash involvement and severity is less well-known. The aim of the present study was to investigate the role of journey attributes, e-bike use, and perception of driving behavior of motorists in predicting bicycle crash involvement and severity, while controlling for sociodemographic factors, cycling levels, cycling environment, and purposes of cycling. We collected data from an online panel of 2,389 respondents from six European countries (Sweden, Netherlands, United Kingdom, Hungary, Italy, Spain). Using the generalized linear model, we found that both bicycle crash involvement and severity were related to lower age, being employed, using the bicycle for traveling to or from college/university, not using the bicycle for leisure/training, and using an e-bike. Bicycle crash severity was associated with lower affective attributes, higher instrumental attributes, and the perception of good driving behavior of motorists.
Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers

Boltzmann machines have useful roles in deep learning applications, such as generative data modeling, initializing weights for other types of networks, or extracting efficient representations from high-dimensional data. Most Boltzmann machines use restricted topologies that exclude looping connectivity, as such connectivity creates complex distributions that are difficult to sample. We have used an open-system quantum annealer to sample from complex distributions and implement Boltzmann machines with looping connectivity. Further, we have created policies mapping Boltzmann machine variables to the quantum bits of an annealer. These policies, based on correlation and entropy metrics, dynamically reconfigure the topology of Boltzmann machines during training and improve performance.
The relationship and incidence of three editorial notices in PubPeer: Errata, expressions of concern, and retractions

This article studies the incidence and relationship of three important relevant editorial notices: errata, expressions of concern, and retractions. The journal club PubPeer was used to extract 39,449 research articles and the 2,308 errata, 189 expressions of concern, and 1,531 retractions associated with these publications. The relationship, time delay, and evolution of these publications were then compared, as was their incidence in journals and disciplines. The results show that the relationship between them is scant, the increase in these notices is in proportion to the scientific literature, and the time delay between publication and editorial notice is frequently over 3 years. According to incidence, editorial notices are more frequent in journals specializing in biochemistry, medicine, and multidisciplinarity, and cancer journals release more errata. Research areas with more editorial notices are the life and health sciences. The research fields with the highest percentages of errata and retractions are Biochemistry, Genetics and Molecular Biology, and Immunology and Microbiology. It is recognized that the use of PubPeer as a data source may have influenced the results.
Chemotype Variation and Antimicrobial Properties of Achillea millefolium L. subsp. millefolium var. millefolium

Achillea millefolium L. subsp. millefolium var. millefolium were collected from six different localities, growing in wild natural habitat in the Eastern Anatolian province of Bingol in Turkey. Essential oil of the samples was isolated by using an apparatus with Clevenger-type and was analyzed by GC-MS/FID spectroscopy. In total 56 components were identified from six samples collected from different localities and important qualitative and quantitative differences were observed. The most abundant components from all samples were found as α-pinene, β-pinene, sabinene, 1,8-cineol, endo-bornyl acetate and α-terpineol. The antimicrobial activities of six different samples essential oil components were tested against bacteria and yeast strains. According to the antimicrobial test results, the most susceptible microorganisms were identified as C. albicans, S. aureus and S. enterica against the essential oils derived from sample collected from Sancak and it suggested that this essential oil may be a valuable candidate for drug formulation.
The RNA helicase UPF1 associates with mRNAs co-transcriptionally and is required for the release of mRNAs from transcription sites

UPF1 is an RNA helicase that is required for efficient nonsense-mediated mRNA decay (NMD) in eukaryotes, and the predominant view is that UPF1 mainly operates on the 3’UTRs of mRNAs that are directed for NMD in the cytoplasm. Here we offer evidence, obtained from Drosophila, that UPF1 constantly moves between the nucleus and cytoplasm and that it has multiple functions in the nucleus. It is associated, genome-wide, with nascent RNAs at most of the active Pol II transcription sites and at some Pol III-transcribed genes, as demonstrated microscopically on the polytene chromosomes of salivary gland and by ChIP-seq analysis in S2 cells. Intron recognition seems to interfere with association and translocation of UPF1 on nascent pre-mRNA transcripts, and cells depleted of UPF1 show defects in several nuclear processes essential to correct gene expression – most strikingly, the release of mRNAs from transcription sites and mRNA export from the nucleus.
PRODUCTIVIDAD DE UN HARVESTER EN RALEOS DE PLANTACIONES DE PINOS EN EL NORESTE ARGENTINO

Se analizó la productividad de segundos y terceros raleos en plantaciones de Pinus taeda y Pinus elliottii var. elliottii x Pinus caribaea var. hondurensis realizados con harvesters de ruedas en el Noreste Argentino. Los árboles cosechados en los segundos raleos presentaron un volumen medio de 0,43 m³ para Pinus taeda de 12 años y 0,36 m³ para pino hibrido de 10 años, mientras que en los terceros raleos este valor fue de 0,71 m³ para Pinus taeda de 13 años y 0,75 m³ para pino hibrido de 15 años respectivamente. Se desarrollaron modelos de tiempos parciales para cada una de las actividades que componen el ciclo operacional y se determinó la influencia del tipo de raleo, especie cosechada, número de productos elaborados, volumen de los árboles y forma de volteo, sobre el tiempo insumido por cada actividad. Los modelos ajustados fueron integrados en un modelo de productividad efectiva consiguiéndose un coeficiente de determinación ajustado R2 Aj de 0,61. El volumen de los árboles resultó significativo para explicar la duración de todas las actividades evaluadas, siendo especialmente determinante en el volteo de los árboles, su desrame y trozado. El tipo de raleo afectó al tiempo de ubicación, mientras que la especie afectó al tiempo de desrame y trozado. La elaboración de hasta tres productos diferentes requirió un mayor tiempo destinado al desrame y trozado. Ocurrió un aumento de la cantidad de productos cuando se realizaron terceros raleos sobre pino hibrido, respecto Pinus taeda.
Intercropping with hyperaccumulator plants decreases the cadmium accumulation in grape seedlings

ABSTRACT In this experiment, four cadmium (Cd) hyperaccumulator species (Crassocephalum crepidioides, Galinsoga parviflora, Sigesbeckia orientalis, and Solanum nigrum) were intercropped with grape (Vitis vinifera) cuttings together in Cd-containated soil to study the effects of intercropping with the Cd-hyperaccumulator plants on growth and Cd accumulation of grape seedlings. Compared with the monoculture, intercropping with S. nigrum increased the biomass of grape seedlings, but intercropping with the other three hyperaccumulator species decreased the grape seedling biomass. Intercropping with S. nigrum increased chlorophyll a and total chlorophyll contents in leaves of grape seedlings compared with the monoculture, whereas intercropping with the other three hyperaccumulator species showed either a decrease or no effect. Intercropping with hyperaccumulator plants had no significant effects on chlorophyll b and carotenoid contents in leaves of grape seedlings compared with the monoculture. Compared with the monoculture, intercropping with C. crepidioides, G. parviflora, S. nigrum and S. orientalis significantly decreased Cd contents in shoots of grape seedlings by 78.7%, 12.7%, 29.8% and 26.5%, respectively. Therefore, intercropping with hyperaccumulator plants can decrease Cd accumulation in grape, and intercropping with S. nigrum can also promote grape seedling growth.
Oxidizing Roasting Behavior and Leaching Performance for the Recovery of Spent LiFePO4 Batteries

In this study, the effects of oxidizing roasting process on the liberation of cathode materials from Al foil under different conditions were investigated systematically. The mineralogical characteristics of the cathode materials before and after thermal treatment were extensively characterized using scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDS), X-ray diffraction (XRD) as well as Fourier transform infrared (FT-IR) spectroscopy and X-ray photoelectron spectroscopy (XPS). The results indicated that the increase in roasting temperature, oxygen concentration, and air flow rate enhanced the liberation of cathode materials. The cathode materials were gradually oxidized to Li3Fe2(PO4)3 and Fe2O3. Further, the carbon and fluorine content in the cathode materials decreased slowly during the thermal treatment, while the Al content increased. When the roasting temperature exceeded the melting point of Al, the Al foils were ablated and the cathode materials adhered to the Al foils again, resulting in difficulty in separation. The cathode materials leaching performance test results demonstrated that the oxidation of cathode materials had a negative effect on the leaching of Fe in sulfuric acid leaching system.