Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of interpersonal communication of chairman and employees on employee performance Inna Parapat Hotel and Resort

This research is motivated by the rapid growth of technology and the increasingly dynamic patterns of human communication both as personal and interpersonal. This study aims to determine the influence of interpersonal communication between leaders and employees on employee performance at Inna Parapat Hotel and Resort. The theory used in this research is De Vito's theory which emphasizes interpersonal communication patterns while the employee performance approach uses the Robbins theory. The research method used is quantitative. This type of research uses associative research or research to determine the relationship between two variables. The study population was 93 people and 48 people were sampled using simple random sampling as the sampling technique. The data obtained is the result of a questionnaire whose answers are accumulated and described in narrative form. The conclusion from the research conducted is the influence of interpersonal communication on employee performance at the Inna Parapat Hotel and Resort. Â
Cooperation of enterprises in innovative activities on the example of Polish regions

Research background: Cooperation is an indispensable element of innovation activities of enterprises. Undertakings in innovation, by nature, require not only significant expenditures or creative human capital, but also cooperation with other enterprises, scientific institutions, and the business environment. Cooperating companies have a greater chance to compete in the international arena while building the innovative potential of the regional environment. Stimulating the permanent cooperation of enterprises operating in the region, in its various forms, is a key challenge for central government authorities, local government authorities, and other actors in social and economic life. The existing literature on the cooperation of enterprises focuses on the motives of cooperation and their effects, but to a lesser extent on the spatial similarity of these processes, i.e. in individual regions of the country. Purpose of the article: The purpose of the article is to diagnose and evaluate regional differences in the level of cooperation between companies conducting innovation activities in Poland. The study used data on innovation activities published by Statistics Poland and data on enterprises participating in cluster cooperation published by the Polish Agency for Enterprise Development. Methods: The cluster analysis was used, allowing to identify voivodeships that are similar to each other in terms of the analyzed phenomenon. The spatial classification of voivodeships was performed using the Ward method, which is classified as hierarchical and is often used to group objects. The result is a hierarchical tree that groups the regions in increasingly larger clusters. Findings & value added: The results indicate a low level of cooperation and the existence of significant differences in the cooperation of enterprises as part of innovation activities in Polish regions. The low level of cooperation between companies in individual regions corresponds to the Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(4), 839–857 840 number of marketed innovations. There are similarities between some regions in terms of cooperation on innovation activities. The results of the analysis may provide an indication for national and European Union economic policy entities in the field of creating instruments to support the cooperation of companies on innovation activities.
An Empirical Study of the Collapsing Problem in Semi-Supervised 2 D Human Pose Estimation

The standard consistency-based method (Described in Section 3.1 and 3.2) suffers from collapsing problem in 2D pose estimation. In this section, we also investigate the effects of other factors like the number of labeled examples, and unsupervised loss weight on the collapsing problem. The following experiments show that adjusting these factors can Not fully solve the collapse problem. In all experiments, the response to the unlabeled sample always has a downward trend, and the final model accuracy is lower than the initial supervised model. It is worth noting that the augmentation parameters η and η′ are sampled in the same distribution (See Section 3.1) in these experiments, and our easy-hard augmentation strategy is not involved.
Optimization of feeding rates for Persian sturgeon ( Acipenser persicus Borodin , 1897 )

Determining the optimum feeding rate is one of the important feeding managerial activities in the aquaculture industry. The satiation rate of the sturgeons, especially during the early life stages, is hard to be determined. Thus, in this study we investigated the effects of different feeding rates on Persian sturgeon (Acipenser persicus) after initiation of the exogenous feeding. The study was conducted in eight trials, and allocated five feeding rate treatments (with three replicates) for each trial. The initial body weight in trials 1-8 were 0.039±0.005 to50.060±7.328 g, respectively, and the stocking densities were 12 to 0.25 individuals per liter, respectively. Results showed that in trial 1, food conversion ratio (FCR) was affected significantly, whereas the survival rate and growth performance were not affected by the feeding rates, except the dry weight. In trials2-8, the growth performance and FCR were affected significantly (p<0.05) by the feeding rates, whereas, there were no significant differences amongst the survival rates in trials 5-8. The analyses on the growth performance indicated that the optimum feeding rates of Persian sturgeon larvae and juveniles in trials 1 (0.039-0.097 g), 2 (0.107-0.193 g), 3 (0.211-0.334 g), 4 (0.417-1.944 g), 5 (2.335-6.219 g), 6 (6.950-13.275 g), 7 (14.72037.350 g), and 8 (50.060-124.050 g) to be 20%, 15%, 9%, 7%, 6%, 3%, 3%, and 2.5% body weight day, respectively.
‘I always considered I needed injury prevention to become an elite athlete’: the road to the Olympics from the athlete and staff perspective

In this study, we explored the perspectives about sports injury prevention of Belgium Olympic level athletes, coaches, managers and healthcare providers from various Olympic sports. We conducted a qualitative study, including 17 semistructured interviews. All interviews were transcribed verbatim and analysed by two independent coders through constant comparative data analysis based on Grounded Theory principles. Our findings overview the athlete’s journey to becoming an elite athlete, and how an elite sports context influences and modulates injury prevention practice at this level. Participants described an elite athletic career as a continuous and adaptive evolving process. According to athletes and all stakeholders, sports injury prevention is a learning process shaped by individual experiences. This embodiment provides athletes with insight into the importance of ownership of their bodies and self-awareness. Thus, experience, communication, empowerment, knowledge, education, the elite athlete context and sports culture, all play a fundamental role in sports injury prevention. Our findings support the importance of contextual factors in sports injury prevention in an elite sports context. These results also bring practical implications on how we should approach injury prevention differently along an athlete’s journey to becoming an elite athlete. Considering specific contextual factors and influencing the process through awareness, communication and a shared responsibility is essential to develop a healthy and successful athlete.
Economic Impacts of Climate Change on Florida: Estimates from Two Studies1

1. This is EDIS document FE787, a publication of the Food and Resource Economics Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL. Published December 2008. Please visit the EDIS website at http://edis.ifas. ufl.edu. 2. Tatiana Borisova, assistant professor, Food and Resource Economics Department, University of Florida, Gainesville, FL; Norman, associate research scientist, Rosenstiel School of Marine and Atomospheric Science, Univeristy of Miami, Coral Gables, FL; and Roy Carriker, Professor, Food and Resource Economics Department, University of Florida, Indian River Research and Education Center, Fort Pierce, FL, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL.
COMPARATIVE ANALYSIS OF NAIVE BAYES ALGORITHM AND ID3 ON PREDICTNG STUDENTS’S ACADEMIC PERFORMANCE

: Predicting students’ performance is becoming more challenging issue in educational institutions. The existing system does not allow analyzing and monitoring performance of students. The reason behind this is lack of appropriate methods to identify the factors affecting students’ performance. Therefore, a systematic review on students’ performance by using data mining prediction techniques is proposed. This tool is helpful in improving student performance and has a good impact on students, teachers and educational institutions. We have analyzed the data set containing information about students, such as academic qualifications, marks scored in SSC and Intermediate examinations and rank obtained in entrance examination and end semester results of the previous batch of students. We have proposed a method for predicting student performance by applying the ID3 (Iterative Dichotomise 3) and Naïve Bayes classification algorithms
42 GHz active frequency doubler in SiGe bipolar technology

This work describes a monolithic integrated active frequency doubler for frequencies up to 42 GHz in a pre-production 0.4 /spl mu/m SiGe bipolar technology. Gain is achieved at the input power of -12 dBm between 18 and 42 GHz with maximum of 8.6 dB at 30 GHz. The circuit may be used for future broadband wireless services like LMDS at 28 and 38 GHz or MVDS at 42 GHz.
Necessary density conditions for d-approximate interpolation sequences in the Bargmann-Fock space

Inspired by Olevskii and Ulanovskii [12], we introduce the concept of d-approximate interpolation in weighted Bargmann-Fock spaces as a natural extension of the classical concept of interpolation. We then show that d-approximate interpolation sets satisfy a density condition, similar to the one that classical interpolation sets satisfy. More precisely, we show that the upper Beurling density of any d-approximate interpolation set must be bounded from above by 1∕(1 − d2).
Class II, Division 2 Malocclusion

Abstract Identical 13-year-old twin boys with Class II, division 2 malocclusions are treated at the same time, one with a full complement of teeth and the other with extraction of the first bicuspids. Presented at the Midwest Component of the Edward H. Angle Society, January, 1983.
Anticancer Activity of Ethnopharmacological Plants of Golestan Province/Iran against AGS, HT-29 and KYSE-30 Cell Lines through Promoting the Apoptosis and Immunomodulatory Effects

The anticancer and immunomodulatory effects of medicinal plants from Golestan province, as a promising source of cancer therapy against gastrointestinal cancer cell lines, were investigated in this study. The ethanolic root/aerial part extracts of 9 medicinal plants were screened for their cytotoxicity against normal mouse fibroblast cells (L-929) and three human cancer cell lines including gastric adenocarcinoma (AGS), colorectal adenocarcinoma (HT-29), and esophagus adenocarcinoma (KYSE-30) by performing MTT assay to determine the IC50 of the extracts. The in-vitro antioxidant activity, total phenolic (TPC), and total flavonoid content (TFC) of extracts was evaluated. Flow cytometry and Real-Time PCR were used for apoptosis assay and evaluation of expression of some genes involved in cell signaling; TLR-4, AKT, ERK1/2, and NFκB. Out of the 9 plant extracts screened, Arctiumlappa root (ALR), showed the most potent cytotoxicity against AGS, KYSE-30, and HT-29 cells with IC50 values of 10, 200, and 2030 µg/mL, respectively. In addition, ALR exerts high TPC (215.8 ± 0.3 mg GAE/g), TFC (69.03 ± 0.7 mg QUE/g) and high radical scavenging activity with IC50 (1250 ‎±‎ 0.1 µg/mL) in DPPH method. Also, ALR stimulates TLR-4 signaling, increased apoptosis, and decreased cancer cell attachment to the surface compared to the untreated cells. This plant, with a strong cytotoxic effect on cancer cells as well as increased apoptosis and its effect on molecules involved in TLR4 signaling as the immunomodulatory effect can be a suitable candidate for in-vivo studies in the future for cancer therapy.
Hot-carrier effects and reliable lifetime prediction in deep submicron N- and P-channel SOI MOSFETs

Hot-carrier effects are thoroughly investigated in deep submicron N- and P-channel SOI MOSFETs, for gate lengths ranging from 0.4 /spl mu/m down to 0.1 /spl mu/m. The hot-carrier-induced device degradations are analyzed using systematic stress experiments with three main types of hot-carrier injections-maximum gate current (V/sub g//spl ap/V/sub d/), maximum substrate current (V/sub g//spl ap/V/sub d//2) and parasitic bipolar transistor (PBT) action (V/sub g//spl ap/0). A two-stage hot-carrier degradation is clearly observed for all the biasing conditions, for both N- and P-channel devices and for all the gate lengths. A quasi-identical threshold value between the power time dependence and the logarithmic time dependence is also highlighted for all the stress drain biases for a given channel length. These new findings allow us to propose a reliable method for lifetime prediction using accurate time dependence of degradation in a wide gate length range.
Retention Assessment of High Performance Poly-etheretherketone Removable Partial Denture Frameworks Constructed by Various Techniques (in vitro Study)

Statement of the Problem: Poly-etheretherketone is a novel material used in the construction of the removable partial dentures frameworks instead of the metal frameworks. This material can be fabricated by various techniques. Most common methods are the injection molding or Computer Aided Design/Computer Aiding Manufacturing (CAD/CAM) milling techniques. The fabrication technique may affect the adaptation of the frameworks by influencing the retention. Purpose: To assess the effect of the processing techniques of high performance Poly-etheretherketone either by injection molding (pressing) or CAD/CAM milling techniques on removable partial denture frameworks retention for rehabilitation of upper class I Kennedy classification. Materials and Method: This in vitro study was performed on one epoxy resin model representing the partially edentulous maxillary arch with natural teeth extending from first premolar to first premolar. First premolars and canines were reduced to receive porcelain fused to metal crowns with 0.50mm mesio-buccal retentive undercuts, distal guiding planes and mesial occlusal rest seat on first premolars and cingulum rest seat on canines. Considering the construction technique of frameworks, twenty samples were divided into two groups. In the group I, ten frameworks were fabricated by injection molding, and in the group II, ten frameworks were fabricated by CAD/CAM. The removal and insertion was carried out at 120, 720 and 1440 cycles for both groups, respectively. The retention values were measured by using Universal Testing Machine before cycling and after each interval. Results: Independent t-test showed significant difference on retention at different simulation cycles between groups. Group II exhibited significantly less retention than group I (p< 0.001), while comparing the retention at different cycles within each group by paired sample t-test exhibited significant decrease of retention till the end of the cycling (p< 0.001). Conclusion: From the retention point of view, high performance poly-etheretherketone frameworks fabricated by injection molding technique provided a promising method over CAD/CAM technique milling method.
The Effect of Nonsinusoidal Current Waveforms on Electromechanical and Solid-State Overcurrent Relay Operation

Modern day power systems create harmonics within the electrical network that can have an impact upon the associated protection system. This paper has investigated how both an electromechanical and a solid-state protection relay are affected by the nonsinusoidal resulting current within the electrical system. The work was carried out using a commonly used GEC CDG11 electromechanical overcurrent relay and a Multilin 369 Plus digital Motor Management Relay. The testing was carried out using a three-phase Omicron 256 Plus secondary injection test set. The test results showed that harmonic currents are not filtered out by either of the two relays and that both of the relays tested will operate faster than they are otherwise seen to do due to nonsinusoidal currents. The work further demonstrated that neither of the relays responded to the simple equivalent rms summation of the harmonic current in the circuit.
A Visual Analytics System for Profiling Urban Land Use Evolution

The growth of cities calls for regulations on how urban space is used and zoning resolutions define how and for what purpose each piece of land is going to be used. Tracking land use and zoning evolution can reveal a wealth of information about urban development. For that matter, cities have been releasing data sets describing the historical evolution of both the shape and the attributes of land units. The complex nature of zoning code and land-use data, however, makes the analysis of such data quite challenging and often time-consuming. We address these challenges by introducing Urban Chronicles, an open-source web-based visual analytics system that enables interactive exploration of changes in land use patterns. Using New York City's Primary Land Use Tax Lot Output (PLUTO) as an example, we show the capabilities of the system by exploring the data over several years at different scales. Urban Chronicles supports on-the-fly aggregation and filtering operations by using a tree-based data structure that leverages the hierarchical nature of the data set to index the shape and attributes of geographical regions that change over time. We demonstrate the utility of our system through a set of case studies that analyze the impact of Hurricane Sandy on land use attributes, as well as the effects of proposed rezoning plans in Downtown Brooklyn.
Analysis of Resonant Vibration of Railway Vehicle

A fully equipped railway vehicle dynamic model which considers the car body flexibility is established to analyze the fundamental reason of car body flexural resonance. Results show that it is the geometric filtering phenomenon rather than the natural vibration of bogie bounce that causes the car body resonant flexural vibration. The higher the vehicle running speed, the higher the first vertical bending frequency should be required.
Computational bioacoustics with deep learning: a review and roadmap

Animal vocalisations and natural soundscapes are fascinating objects of study, and contain valuable evidence about animal behaviours, populations and ecosystems. They are studied in bioacoustics and ecoacoustics, with signal processing and analysis an important component. Computational bioacoustics has accelerated in recent decades due to the growth of affordable digital sound recording devices, and to huge progress in informatics such as big data, signal processing and machine learning. Methods are inherited from the wider field of deep learning, including speech and image processing. However, the tasks, demands and data characteristics are often different from those addressed in speech or music analysis. There remain unsolved problems, and tasks for which evidence is surely present in many acoustic signals, but not yet realised. In this paper I perform a review of the state of the art in deep learning for computational bioacoustics, aiming to clarify key concepts and identify and analyse knowledge gaps. Based on this, I offer a subjective but principled roadmap for computational bioacoustics with deep learning: topics that the community should aim to address, in order to make the most of future developments in AI and informatics, and to use audio data in answering zoological and ecological questions.
Localized Geometric Moves to Compute Hyperbolic Structures on Triangulated 3-Manifolds

A fundamental way to study 3-manifolds is through the geometric lens, one of the most prominent geometries being the hyperbolic one. We focus on the computation of a complete hyperbolic structure on a connected orientable hyperbolic 3-manifold with torus boundaries. This family of 3-manifolds includes the knot complements. This computation of a hyperbolic structure requires the resolution of gluing equations on a triangulation of the space, but not all triangulations admit a solution to the equations. In this paper, we propose a new method to find a triangulation that admits a solution to the gluing equations, using convex optimization and combinatorial modifications. It is based on Casson and Rivin s reformulation of the equations. We provide a novel approach to modify a triangulation and update its geometry, along with experimental results to support the new method.
Association study between gene expression and multiple phenotypes in omics applications of complex diseases

Studying phenotype-gene association can uncover mechanism of diseases and develop efficient treatments. In complex disease where multiple phenotypes are available and correlated, analyzing and interpreting associated genes for each phenotype respectively may decrease statistical power and lose intepretation due to not considering the correlation between phenotypes. The typical approaches are many global testing methods, such as multivariate analysis of variance (MANOVA), which tests the overall association between phenotypes and each gene, without considersing the heterogeneity among phenotypes. In this paper, we extend and evaluate two p-value combination methods, adaptive weighted Fisher’s method (AFp) and adaptive Fisher’s method (AFz), to tackle this problem, where AFp stands out as our final proposed method, based on extensive simulations and a real application. Our proposed AFp method has three advantages over traditional global testing methods. Firstly, it can consider the heterogeneity of phenotypes and determines which specific phenotypes a gene is associated with, using phenotype specific 0-1 weights. Secondly, AFp takes the p-values from the test of association of each phenotype as input, thus can accommodate different types of phenotypes (continuous, binary and count). Thirdly, we also apply bootstrapping to construct a variability index for the weight estimator of AFp and generate a co-membership matrix to categorize (cluster) genes based on their association-patterns for intuitive biological investigations. Through extensive simulations, AFp shows superior performance over global testing methods in terms of type I error control and statistical power, as well as higher accuracy of 0-1 weights estimation over AFz. A real omics application with transcriptomic and clinical data of complex lung diseases demonstrates insightful biological findings of AFp.