Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of emotional intelligence on hospitality employees’ work outcomes: a systematic and meta-analytical review

ABSTRACT Employees’ emotional intelligence (EI) has been studied for over a decade in the hospitality field. While the existing literature has advanced our knowledge of this construct, mixed and inconsistent findings regarding the influence of EI on hospitality employees’ work outcomes can be found in individual studies. To address such issues, we conducted a comprehensive literature review of the extant literature on hospitality employees’ EI. This review yielded 60 empirical studies (from both hospitality and non-hospitality journals), based on which we investigated the background and trend of research into hospitality employees’ EI. A total of 18 EI-related work outcomes were captured and classified into two groups. The direction, magnitude, and heterogeneity of the effect sizes of the relations between hospitality employees’ EI and such work outcomes were meta-analyzed. The theoretical and practical implications are discussed in the light of our key findings.
Estimation of genetic parameters for beef cattle in UK herds

Data from British Simmental cattle collected by the Meat and Livestock Commission (1969-91) from 1142 herds were utilised to estimate phenotypic, genetic and environmental parameters for various performance traits. The importance of maternal effects on the performance of these animals was also evaluated. The performance traits considered in the study were birth weight, 200-day weight, 400-day weight, ultrasonic backfat-depth (backfat depth) and muscling score. Restricted Maximum Likelihood individual animal model procedure was followed throughout, accounting for all known genetic relationships, between animals, selection decisions and non random matings. Average birth weight obtained from the analysis of 31213 records was 40 kg, whilst 200-day weight and 400-day weight averaged 285 kg and 517 kg, respectively. The corresponding values for backfat depth and muscling score were 3.12 mm and 10 points, respectively. For univariate analyses, 6 different animal models (i.e. including or excluding maternal additive genetic effects or maternal permanent environmental effects or direct-maternal genetic covariance) were fitted to determine the relative significance of these different random effects. The average estimates (± s.e) of the direct heritability (h), the maternal heritability (h), the covariance between direct additive genetic and maternal additive genetic effects as a proportion of the phenotypic variance (CAM) and the proportion of phenotypic variance ascribable to maternal permanent environmental effects (c2) for birth weight were 0.25±0.02, 0.06±0.01, —0.05±0.01 and 0.07±0.01, respectively. The correlation between direct additive genetic and maternal additive genetic effects (rAM) was —0.45.
A Compact Wideband Circularly Polarized Microstrip Slot Antenna with Parasitic Elements

A compact wideband circularly polarized (CP) microstrip slot antenna (MSA) with parasitic elements is designed in this letter. The CP MSA comprises a square-loop sequential-phase (SP) feeding configuration, four rotated rectangular patches, and four L-shaped slots embedded in the ground plane. The square-loop SP feeding structure comprises a square loop and an arc-shaped strip, which could provide a 270° phase difference. Four rotated rectangular patches are placed at the edge of the square-loop feeding configuration using a capacitively tightly coupled feeding method to stimulate the CP resonant mode. After selecting these elements and tuning proper dimensions, the broad operating bandwidths of 4.38–5.25 GHz (18%) for |S11| <–10 dB and 4.65–5.31 GHz (13.2%) for AR <3 dB could be realized. Hence, the designed CP MSA has a potential application value in wireless communication.
Multi-Objective Multi-Generation Gaussian Process Optimizer

We present a multi-objective evolutionary optimization algorithm that uses Gaussian process (GP) regression-based models to select trial solutions in a multi-generation iterative procedure. In each generation, a surrogate model is constructed for each objective function with the sample data. The models are used to evaluate solutions and to select the ones with a high potential before they are evaluated on the actual system. Since the trial solutions selected by the GP models tend to have better performance than other methods that only rely on random operations, the new algorithm has much higher efficiency in exploring the parameter space. Simulations with multiple test cases show that the new al-gorithm has a substantially higher convergence speed and stability than NSGA-II, MOPSO, and some other recent preselection-assisted algorithms.
Anti-Aging Activity of Xylocarpus Granatum Phytoextracts and Xyloccensins K Compound

Cellular aging is promoted by the deleterious effect of free radicals. This can be lowered by antioxidant treatments. Xylocarpus granatum and its compound, Xyloccensins K have been reported to have antioxidant activity but there have been no reports of antioxidant and anti-aging activities at the cellular level. Thus, the aim of this study to investigate the antioxidant and anti-aging properties of X. granatum-derived extract and Xyloccensins K at a cellular level in yeast Schizosaccharomyces pombe. Four vegetative and three generative parts of X. granatum organs including root, stem, leaf, twig, seed, flesh of fruit, and peel of fruit were extracted using 70% ethanol by the maceration method. Whereas, Xyloccensins K was obtained from seed of X. granatum. The samples tested, other than peel of fruit, prolonged cell longevity in lower concentration as compared to that without phytoextracts treatment. Also, our data indicate that all samples could promote oxidative stress tolerance phenotype, as yeast was capable of dealing with H2O2-induced oxidative stress treatment at 1, 2, and 3 mM H2O2 with the best phenotypes by the administration of twig extracts. Most of the phytoextracts showed an increase in mitochondrial activity, except that of seed extract. The result showed the administration of Xyloccensins K compound did not increase the expression of transcriptional factors of oxidative stress response gene cluster, sty1 and pap1. We suggest that the Xyloccensins K compound acts as direct Reactive Oxygen Species (ROS) scavenger. Thus further study in elucidating the phenomenon of longevity-induced X. granatum extract is required.
Linguistic resources and tools at ICS PAS: Towards interoperability

This is an overview paper, presenting linguistic resources and tools developed within projects carried out by the Linguistic Engineering Group (LEG) at the Institute of Computer Science of the Polish Academy of Sciences. It briefly describes corpora (esp., the IPI PAN Corpus of Polish) and corpus tools (Poliqarp), grammars and parsers (incl. Spejd and Świgra), and syntactic and semantic lexica, and it discusses the extent to which they may be claimed to satisfy the requirement of interoperability.
Investigation of helical strut attached vena cava filter hemodynamic performanc

Hemodynamic performance of the Celect Platinum vena cava filter and the revised forms of it with helical flow inducer strut were studied with computational fluid dynamic software Ansys Fluent 18. The central velocity and shear stress increased but overall flow disturbance has been observed minimal level. Central velocity increases to 9.72% with Celect filter, by the single helical flow inducer strut the rate reaches to 14.69%, and with doubled form it reaches to 19.73%. The filter surface shear rate increases to 8.29% with the single helical flow inducer strut and increases 13.31% with doubled attachment. Increased velocity and shear stress on the filter may eliminate short term thrombus build-up problems by breaking the big size particulates with the high shearing forces. The new struts may also contribute to the ability of the filter to capture smaller clots, as well as to dissolve them from being bigger. Shear stress in the vein wall increases approximately 6.63% with the filter placement. It raises to 8.06% and 9.45% with single and double helical flow inducer strut attachment. Increased vein wall shear may reduce the recirculation and clotting in the vein wall and it may prevent the accumulation of clots. The increased shear stress on the filter may cause the migration problem, design improvements can minimize this risk. Helical flow inducer strut attachment can cause efficacy increase, and the flow are normalized.
No Magic for Market Entry in the Field: Evidence from Taxi Markets

We study taxi markets in Singapore to understand market entry in the field. Although market-entry games in the laboratory consistently produce equilibrium outcomes, we show that a lack of market knowledge hinders the markets from consistently reaching equilibrium in the field. In Singapore, a small, 720-square-kilometre island city that can be divided into 29 taxi markets, full equilibrium is elusive: 68% of the market-entry decisions made by the 2,728 taxi drivers in our data could be improved. Using three months of earnings and detailed movement data from these taxi drivers, we find an average 20% gap in marginal wage rates across markets. We use dynamic programming to derive the optimal solution for more than 3 million search decisions and find that only 32% of the searches ended in an optimal market. Finally, we find that market knowledge developed in a given month explains an additional 3% variation of the earning losses in the 2.6 million decisions for the subsequent two months, an improvement in model fit of 74%, whereas strategic thinking and minimization risk have no impact on earning loss. This paper was accepted by Yan Chen, behavioral economics and decision analysis.
Design and Evaluation of a Crowdsourcing Precision Agriculture Mobile Application for Lambsquarters, Mission LQ

Precision agriculture is highly dependent on the collection of high quality ground truth data to validate the algorithms used in prescription maps. However, the process of collecting ground truth data is labor-intensive and costly. One solution to increasing the collection of ground truth data is by recruiting citizen scientists through a crowdsourcing platform. In this study, a crowdsourcing platform application was built using a human-centered design process. The primary goals were to gauge users’ perceptions of the platform, evaluate how well the system satisfies their needs, and observe whether the classification rate of lambsquarters by the users would match that of an expert. Previous work demonstrated a need for ground truth data on lambsquarters in the D.C., Maryland, Virginia (DMV) area. Previous social interviews revealed users who would want a citizen science platform to expand their skills and give them access to educational resources. Using a human-centered design protocol, design iterations of a mobile application were created in Kinvey Studio. The application, Mission LQ, taught people how to classify certain characteristics of lambsquarters in the DMV and allowed them to submit ground truth data. The final design of Mission LQ received a median system usability scale (SUS) score of 80.13, which indicates a good design. The classification rate of lambsquarters was 72%, which is comparable to expert classification. This demonstrates that a crowdsourcing mobile application can be used to collect high quality ground truth data for use in precision agriculture.
Vacuum Nozzle Design for Seed Metering

ABSTRACT SEVEN vacuum nozzles were evaluated in a stationary device similar to horticultural seedflat seeders to learn correct seed orientation, air pressure for pickup, holding and transport, brush-off method, and seed ejection. Theoretical derivations and experiments showed that the pressure difference needed for pickup of a seed increased with the fourth power of the pickup height for heights of more than one seed radius. An exponential relationship was found to apply closer to the nozzle. Recommendations for a suitable pneumatic metering device for nearly spherical seeds were made with regard to nozzle type, seed lift height, seed orientation, brush-off device, and seed ejection
Effect of Spraying with Water Hyacinth and Silverleaf Extractson Growth and Yield of Sunflower (Helianthus annuus L.)

A field experiment was carried out in one of the special fields Al-Jazirah - Al-Budhiyab located at latitude 38.28° north and longitude 43.19° east, to find out the effect of different concentrations of the extract of the Water hyacinth and silverleaf plants in three varieties of sun flower. The experiment was applied using a split-plate arrangement within an RCBD design with three replications. The main plots were represented by the varieties Ishaqi, Sakha, and Iqmar, and the sub plots included the spray concentrations 0, 5, 15 and 25 mg L-1. The results showed that the Iqmar variety was superior in plant height (179.73 cm) in the spring season, and the cultivar Ishaqi (175.50 cm) in the fall season. The variety also outperforms generously in leaf area (307.4 cm2) in the fall season. As for the extracts, the water hyacinth outperformed the plant height (177.74 and 175.11 cm) in both seasons, respectively. And in the stem diameter (20.45 mm) in the spring season and in the dry weight of the weeds (0.045 and 0.053 g m2) in both seasons respectively. While silverleaf herb extract exceeded the leaf area (213.9 and 271.1 cm2) in both seasons sequentially and the stem diameter (20.86 mm) in the fall season, the silverleaf herb extract reduced the dry weight of the weeds (0.032 and 0.043 g m2) in both seasons respectively. He increased the weight of 1000 seeds (59.25 and 67.20 grams) in both seasons and the total yield (3.26 ton ha-1) in the fall season. The 15 mg L-1 concentration also increased plant height (180.02 cm) and leaf area (208.9 cm2) in the spring season, disc diameter (22.39 cm) in the fall season and the number of seeds (924 seeds per disc-1). While the concentration increased plant height (176.19 cm) and leaf area (276.8 cm2) in the fall season. The concentration outperformed 5 mg L-1 in stem diameter (19.65 and 20.32 mm) in both seasons and increased the weight of 1000 seeds (59.57 and 67.94 g) in both seasons sequentially and the overall yield (4.35 and 3.18 ton ha-1) in both seasons. Sequentially. We conclude that there is a fluctuation in the behavior of the same crop varieties due to the overlap of study factors and in different directions, so it is recommended to individualize the factors in their influence on the varieties to know the behavior of those varieties more accurately.
Decouple Transverse Coupled Beam in the DTL with Tilted PMQs

The coupling of the beam is widely studied in the accelerator physics field. Projected transverse emittances easily grow up if the beam is transversely-coupled. If we decouple the transverse coupled beam, the transverse emittance can be small. The matrix approach based on the symplectic transformation theory for decoupling the coupled beam is summarized. For a proton accelerator, the transverse coupled beam is introduced by an RFQ tilted by 45∘. The beam is decoupled with the first five tilted quadrupoles mounted in the DTL section. A study on the gradient choice of the quadrupoles considering space charge effect is given in this paper.
Autonomous Robotic Disassembly in the Blocks World

This article describes a fully functional autonomous system with two cooperating robots that disassembles complex Duplo 1 structures in a restricted environment. The system operates on a table-top world with any number of Duplo structures for which object models have been given. The structures are dis assembled down to individual parts, using basic operations of single part removal, object partitioning, and the addition of stabilizing supports to structures that would otherwise fall over. All aspects are automatically planned, including operation selection, path and grasp planning, and simultaneous cooper ative robot motion. Operations are chosen so as to not create unstable structures and to not risk breakage in areas of low structural integrity. Overall planning is done with a process mechanism that heuristically generates efficient disassembly sequences, without searching a space of all possible operations. Several examples of actual system operation, using real robots, are presented.
A study on health care monitoring of femoral shaft fracture healing by using implanted antenna for wireless in-to-out body channel communication

This work proposes a health care monitoring method of femoral fractured bone healing as a novel application, based on the oblique incidence case and transmission of electromagnetic waves. The difference between the transmitted average power densities of normal and fractured bone cases is used to monitor the bone healing status. The study demonstrates the in-to-out body channel characteristics regarding the electromagnetic wave propagation and angle of incidence on a multi-layered human tissue in the range of frequencies from 100 MHz to 10 GHz. The monitoring method is presented by the analysis of electromagnetic wave propagation through a multilayer model and simulated by the CST Microwave studio. Fully insulated planar and meander half-wave dipole antennas are designed and used to simulate both types of bone fracture healing. Results show good monitoring of common types of fractures. Verification is carried out by experimental measurements on non-living animal tissues.
Flood frequency analysis for the Red River at Winnipeg

This paper reviews the flood frequency characteristics of the Red River at Winnipeg. The impacts of persistence in the flood series on estimates of flood quantiles and their associated confidence intervals are examined. This is done by generating a large number of data sequences using a mixed noise model that preserves the short-term and long-term correlation structures of the observed flood series. The results reveal that persistence in the data series can lead to a slight increase in the expected flood magnitude for a given return period. More importantly, persistence is shown to dramatically increase the uncertainty associated with estimated flood quantiles. The 117-year flood series for the Red River at Winnipeg is demonstrated to be equivalent to roughly 45 years of independent data.Key words: flood frequency, extreme events, simulation, historical data.
Customer communication in distributed agile software development

One of the key differences between so-called traditional development approaches and agile methods is that agile software development methods put significant emphasis on communication. In agile development, communication is proposed to be conducted in an informal face-to-face manner. This communication extends beyond the development team, involving all project stakeholders including the customers, whose role in agile development is pivotal. Since their emergence, agile methods have been adopted in distributed development environments at sites that can be separated by significant geographic and temporal as well as cultural distances.The focus of this thesis is to understand how customer communication can be improved in distributed agile software development.
MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction

Generative machine learning models have become widely adopted in drug discovery and other fields to produce new molecules and explore molecular space, with the goal of discovering novel compounds with optimized properties. These generative models are frequently combined with transfer learning or scoring of the physicochemical properties to steer generative design, yet often, they are not capable of addressing a wide variety of potential problems, as well as converge into similar molecular space when combined with a scoring function for the desired properties. In addition, these generated compounds may not be synthetically feasible, reducing their capabilities and limiting their usefulness in real-world scenarios. Here, we introduce a suite of automated tools called MegaSyn representing three components: a new hill-climb algorithm, which makes use of SMILES-based recurrent neural network (RNN) generative models, analog generation software, and retrosynthetic analysis coupled with fragment analysis to score molecules for their synthetic feasibility. We show that by deconstructing the targeted molecules and focusing on substructures, combined with an ensemble of generative models, MegaSyn generally performs well for the specific tasks of generating new scaffolds as well as targeted analogs, which are likely synthesizable and druglike. We now describe the development, benchmarking, and testing of this suite of tools and propose how they might be used to optimize molecules or prioritize promising lead compounds using these RNN examples provided by multiple test case examples.
Monitoring Technology for Vehicle Loading Status Based on the Analysis of Suspension Vibration Characters

Monitoring and early warning of vehicle risk status was one of the key technologies of transportation security, and real-time monitoring load status could reduce the transportation accidents effectively. In order to obtain vehicle load status information, vehicle characters of suspension were analyzed and simulated under different working conditions. On the basis of this, the device that can detect suspension load with overload protection structure was designed and a method of monitored vehicle load status was proposed. The monitoring platform of vehicle load status was constructed and developed for a FAW truck and system was tested on level-A road and body twist lane. The results show that the measurement error is less than 5% and horizontal centre-of-mass of vehicle was positioned accurately. The platform enables providing technical support for the real-time monitoring and warning of vehicles risk status in transit.
Reliability-based design of earth-fill dams based on the spatial distribution of strength parameters

In this study, a reliability-based design for the improvement of earth-fill dams is presented and the effect of improvement of the embankment for safety against earthquakes is evaluated. An inclined core is considered as the means of improvement for the earth-fill embankment. First, the spatial distribution of the strength of the earth-fill materials is discussed, following which the damage level of earth-fill dams is evaluated, using the elasto-viscoplastic finite element method (EVP-FEM). By averaging the resulting damage level with the Monte Carlo method, the expected failure costs are calculated. Finally, the effect of this improvement is evaluated by comparing the expected total costs for the original and the restored states of the embankment.
Investigation on the clamping voltage self-balancing of the three-level capacitor clamping inverter

This paper deals with the self-balancing quality of the clamping voltage in the three-level capacitor clamping inverter due to the spontaneous clamping capacitor current control loop in the circuit. Self-balancing quality of the three-level capacitor clamping inverter under sub-harmonic PWM modulation is analyzed in detail. The self-balancing mechanism in the multilevel capacitor clamping inverter (M>3) under sub-harmonic PWM modulation is also discussed. Test results regarding the self-balancing quality from a half-bridge three-level capacitor clamping inverter prototype under sub-harmonic PWM modulation is given.