Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Entrepreneurial Leadership on Team Performance -Focusing on the Mediating Role of Team Efficacy

With the advent of the Fourth Industrial Revolution, companies pursue innovation and opportunities, and corporate performance is also newly defined. As a result, the demand for new leadership is stronger. This paper conducted an empirical analysis to examine the role of team efficacy between entrepreneurial leadership and team performance. Using the SPSS 21.0 and AMOS 20.0 Statistics Package, 530 members in 79 work teams in China collected data was analyzed. The results showed that entrepreneurial leadership has a positive (+) effect on team performance, and team efficacy has a partial mediating effect between entrepreneurial leadership and team performance. This study deepened the understanding of entrepreneurial leadership and revealed the importance of entrepreneurial leadership in organizations. Future research can focus on multi-level research involving self-efficacy and individual entrepreneurial intent.
A Novel Current Signal Feature and Its Application in Noninvasive Load Monitoring

It is very important to extract discriminative electrical signal features in the lean management of the power grid. In this article, we develop a new current signal waveform feature. First, the electronic signal waveform is segmented into different segments with different properties, and then, the synthetic features, including shape feature, harmonic feature, and statistic features, are extracted. To illustrate the effectiveness of the synthetic features, we use them in noninvasive load monitoring (NILM). The similarity measurement is defined and calculated between each pair of segments based on the synthetic features, and the maximum clique searching algorithm is proposed to identify the consistent segments as state categories. The experimental results show that our method can significantly enhance precision and recall while identifying states in a more fine-grain style compared with state-of-the-art NILM methods.
Dental bleaching gels do not alter the surface roughness and microhardness of feldspathic porcelain

Objective: To evaluate whether two different bleaching gels affect the microhardness and surface roughness of feldspathic ceramic specimens, in vitro. Methods: A total of 48 feldspathic porcelain IPS In Line (Ivoclar-Vivadent) discs (16/treatment group) were immersed in distilled water (Group I, Untreated control, UN), or treated with the bleaching gels: Opalescence (15% carbamide peroxide; OPA) and Opalescence Xtra Boost (38%hydrogen peroxide; OPAXB), for 1h or 6h daily for 14 days. Surface roughness (Ra) and microhardness (Knoop, or KNP) measurements were made before and after treatment, and data were subjected to statistical analysis by paired Student’s t-test (p < 0.05). Results: Treatments using Opalescence and Opalescence Xtra Boost did not altered surface roughness (p=0.6199861) or microhardness (p=0.14286744) of the feldspathic porcelain tested in this study. Conclusion: Bleaching treatments using Opalescence and Opalescence Xtra Boost may be suitable for treatment in patients having ceramic prosthodontic treatment. Indexing terms: Bleaching agents. Dental porcelain. Hardness tests.
Bisphosphonates and orthodontic treatment – a literature review

Copyright: © 2005 Polish Orthodontic Society. This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. Wkład autorów: A Plan badań B Zbieranie danych C Analiza statystyczna D Interpretacja danych E Redagowanie pracy F Wyszukiwanie piśmiennictwa Authors’ Contribution: A Study design B Data Collection C Statistical Analysis D Data Interpretation E Manuscript Preparation F Literature Search https://doi.org/10.5114/for.2020. 100180
Small-scale LNG Market Optimization – Intelligent Distribution Network

Intelligent Systems, thanks to their effectiveness and robustness, find many applications in various industries. One of such applications is optimization of distribution network of small-scale LNG market, which was highly dynamic throughout last years. LNG (Liquified Natural Gas) is a fuel produced from natural gas, but its volume is approx. 600 times smaller than in the gas (natural) state, which makes it more economically effective to transport and store. Distribution network consists of several pickup points (varying in LNG specification) and a number of destination points (varying in tanks capacities). From economic point of view, optimization of LNG truck tanks paths is an important factor in whole market development. The optimization process involves selecting a pickup point and a sequence of destination points with amount of LNG unloaded in each of them. Solution proposed in this paper is based on graph theory and advanced machine learning methods, such as reinforcement learning, recurrent neural networks and online learning. Optimization of distribution network translates directly into a number of economic benefits: reduction of LNG transport cost, shortening the delivery time, reduction of distribution costs and increase in the effectiveness of tank truck usage.
Using Semantic Similarity to Assess Adherence and Replicability of Intervention Delivery

Researchers are rarely satisfied to learn only whether an intervention works, they also want to understand why and under what circumstances interventions produce their intended effects. These questions have led to increasing calls for implementation research to be included in high quality studies with strong causal claims. Of critical importance is determining whether an intervention can be delivered with adherence to a standardized protocol
AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation

Semantic segmentation of remote sensing images plays an important role in many applications. However, a remote sensing image typically comprises a complex and heterogenous urban landscape with objects in various sizes and materials, which causes challenges to the task. In this work, a novel adaptive fusion network (AFNet) is proposed to improve the performance of very high resolution (VHR) remote sensing image segmentation. To coherently label size-varied ground objects from different categories, we design multilevel architecture with the scale-feature attention module (SFAM). By SFAM, at the location of small objects, low-level features from the shallow layers of convolutional neural network (CNN) are enhanced, whilst for large objects, high-level features from deep layers are enhanced. Thus, the features of size-varied objects could be preserved during fusing features from different levels, which helps to label size-varied objects. As for labeling the category with high intra-class difference and varied scales, the multiscale structure with a scale-layer attention module (SLAM) is utilized to learn representative features, where an adjacent score map refinement module (ACSR) is employed as the classifier. By SLAM, when fusing multiscale features, based on the interested objects scale, feature map from appropriate scale is given greater weights. With such a scale-aware strategy, the learned features can be more representative, which is helpful to distinguish objects for semantic segmentation. Besides, the performance is further improved by introducing several nonlinear layers to the ACSR. Extensive experiments conducted on two well-known public high-resolution remote sensing image data sets show the effectiveness of our proposed model. Code and predictions are available at https://github.com/athauna/AFNet/
Au55[P(C6H5)3]12CI6 — ein Goldcluster ungewöhnlicher Größe

Die Reduktion von C6H5)3PAuCl mit B2H6 in Benzol ergibt Au9,2[P(C6H5)3]2Cl, das mittels Molmassebestimmungen als Au55[P(C6H5)3]12Cl6 charakterisiert wurde. Ein einfaches Modell, beruhend auf einer Anordnung dichtest gepackter Goldatome, fuhrt zu einem Goldcluster, dessen Aufbau mit der ungewohnlichen chemischen Zusammensetzung in guter Ubereinstimmung ist. Das Mosbauer-Spektrum der Verbindung zeigt vier Sorten von Goldatomen: einen metallischen Anteil (Au13-Kern), durch P(C6H5)3-bzw. Cl-Liganden Koordinierte Au-Atome, sowie unkoordi-niertes Oberflachengold. Mit Brom und lod las sich der Komplex zu (C6H5)3PAuCl, (C6H5)3 PAuBr(I) und metallischem Gold abbauen. Die Thermolyse bei 50°C fuhrt quantitativ zu [(C6H5)3P]2AuCl und Gold.
Active Front Steering-Based Electronic Stability Control for Steer-by-Wire Vehicles via Terminal Sliding Mode and Extreme Learning Machine

In this article, a novel active front steering (AFS) control strategy including the upper controller and the lower controller is proposed to improve the yaw stability and maneuverability for steer-by-wire (SbW) vehicles. The adaptive recursive integral terminal sliding mode (ARITSM) control is adopted in the upper controller for guaranteeing the convergence performance of both the actual sideslip angle and the yaw rate with strong robustness and fast convergence rate. Then, a fast nonsingular terminal sliding mode (FNTSM) control with extreme learning machine (ELM) estimator to estimate its equivalent control is designed in the lower controller to track the desired front wheel steering angle calculated from the upper controller for driving the sideslip angle and the yaw rate to converge ideal value. It is shown that the upper controller takes two controlled variables (vehicle sideslip angle and yaw rate) and only one control input (front steering angle) into consideration, which can obtain a better performance compared with the case of using only one of these values. Since using the ELM technique in the lower controller to estimate the equivalent control of the FNTSM, not only the dependence of SbW system dynamics can be alleviated in the process of designing controller but also the excellent steering control performance can be achieved. Comparative simulations are carried out by utilizing Carsim and Matlab software to validate the excellent performance of the proposed control strategy for different steering maneuvers.
Measures used to protect people exposed to a PV generator: ‘univer project’

Many of the solutions to integrate PV in buildings have the special feature of placing the generator in transit areas where people can have access to inside zones of the installation (metalworks, modules, junction boxes, etc.). In these cases, if we also need a higher level of generation voltage, due to the generator size and efficiency reasons, the risk of electrical damage to people rises due to imprudences or installation faults. In this paper, we present a system of people protection designed and installed in a PV generator integrated in a parking and building area at Jaén University Campus. This PV generator has a high risk level of electric shock to humans due to its location and voltage generator level (range 500 VDC). We include both the theoretical design of the protection subsystem and also the experimental tests and measures to check its functionality and security level reached in the installation. Copyright © 2001 John Wiley & Sons, Ltd.
Electrical resistivity of copper, gold, palladium, and silver

In this work, recommended values for the electrical resistivity as a function of temperature from the cryogenic region to well beyond the melting point are given for bulk pure copper, gold, palladium, and silver. In addition to the total electrical resistivity values for the solid state, intrinsic electrical resistivity values are presented from cryogenic temperatures to the melting point. The values are corrected for the change in geometry due to thermal expansion. The recommendations are based on theoretical considerations and on the experimental data found in the open literature. That available experimental data together with information pertaining to the specimen characterization and measurement conditions are included in this work. The methods of data evaluation and other considerations used in arriving at the recommendations are described. For the solid state, an interpolation scheme is given to aid in the determination of values between those supplied in the tables; for the liquid state, equations .
Prenatal Corticosterone Exposure Alters Glucocorticoid Metabolic Enzyme Eene mRNA Associated with Increased Aggressive Behaviors and Tonic Immobility in Chicken

Exposure to excess Glucocorticoids (GCs) during embryonic development influences offspring physiology and behaviors and induces change in Hypothalamic-Pituitary-Adrenal (HPA) axis genes expression and serotonergic system in mammals. Whether prenatal corticosterone (CORT) exposure induces similar effects in avian species remains unclear. In the present study, we injected low (0.2 μg) and high (1 μg) doses of CORT in ovo before incubation and detected changes in aggressive behavior, Tonic Immobility (TI), HPA axis and 5-hydroxytryptamine (serotonin) (5-HT) system gene expression on post hatch chickens of different ages. High dose of CORT significantly (P<0.05) suppressed growth rate, increased the frequency of aggressive behaviors, which was associated with elevated plasma CORT concentration. Likewise, in ovo injection of CORT significantly (P<0.05) increased Tonic Immobility (TI) duration both in chickens from low and high doses of CORT treatments compared to control. In addition, administration of CORT significantly (P<0.05) up-regulated mRNA expression of 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) whereas it down-regulated 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2) and mineralocorticoid receptor (MR) mRNA expression in the hypothalamus. No significant differences were seen in Glucocorticoid Receptor (GR) and 20-hydroxysteroid dehydrogenase (20-HSD) mRNA levels upon CORT treatment. Moreover, CORT exposure significantly (P<0.05) increased hypothalamic 5-hydroxytryptamine (serotonin) receptor 1A (5-HTR1A) mRNA expression, but not 5-HT receptor 1B (5-HTR1B). In ovo administration of CORT may programs the aggressive behaviors in the chicken through alterations of HPA axis and 5-HT system.
On the Critical Role of RAFT Agent Design in Reversible Addition-Fragmentation Chain Transfer (RAFT) Polymerization

There are a certain number of precautions a polymer chemist should take before undertaking a reversible addition-fragmentation chain transfer (RAFT) polymerization with a view of obtaining a polymer with controlled macromolecular characteristics (, PDI) and little or no change of rate of polymerization in comparison with conventional radical polymerization. Among them, a proper selection of the so-called R and Z groups borne by the thiocarbonyl thio skeleton of the RAFT agent is essential and is strongly dependent on the considered monomer. In this review, we introduce the basic concepts associated with the RAFT process like its mechanism and kinetics, and how the RAFT agent structure can strongly influence its reactivity and sometimes lead to undesired kinetic behaviors.
Biogas Upgrading Approaches with Special Focus on Siloxane Removal—A Review

Biogas, a product of anaerobic digestion process that consists mainly of methane and carbon dioxide is a suitable alternative fuel if unwanted impurities are removed as they have a negative impact on the equipment. The most significant technologically troublesome trace compounds that must be removed are siloxanes since they are converted into silica on gas surface engines and turbines resulting in equipment damage. The quality of the gas is certainly improved by reducing the amount of impurities and the end use determines the extent of biogas cleaning needed. The major aim of this study was to compile information that can assist researchers or even designers in selecting a suitable technology to remove siloxanes. Siloxane removal definitely can be achieved using different methods and the effectiveness of each method relies on careful consideration of the characteristics of both biogas and siloxane, as well as the technological aspects of the method. Herein, we review on different cleaning techniques for siloxanes in raw biogas, the negative effects they have, their levels and technologies to reduce their concentrations. This review also incorporates the sources of the siloxanes, the progress to date on their removal and possible ways of regenerating adsorbents. The reviewed literature suggests that biogas upgrading technology should be promoted and encouraged especially in siloxane removal as it has detrimental effects on engines. The parameters and effectiveness of adsorption processes are discussed, and individual adsorbents are compared.
Rural Folks Perception of Effect of Activities of Miscreants on Agricultural Production in Rural Communities of Delta State, Nigeria

The study assesses the nefarious activities of societal miscreants as they affect agricultural activities and rural communities in Delta State, Nigeria. The results indicated that societal miscreants were in the main perceived to be involved in stealing, raping of women and cult activities. Perceived causes of deviant behaviours were mainly poor education/ignorance (90.6%), unemployment (48.9%), belonging to a gang (48.9%) and drugs (45.3%). Perceived main activities of miscreants were a decrease in agricultural production (93.4%); loss of farm labour (87.5%) and the study recommends among others, the establishment of rehabilitation centers, addressing the challenge of drug addiction, and creating of job opportunities.
Assessing functional diversity and biomass of herbivorous fish as resilience indicators of coral reef ecosystems in Doreri Bay, Manokwari Regency, Indonesia.

The issue of coral reef resilience is important in this era of climate change and herbivorous fish is one of the key resilience indicators of coral reef ecosystems. This study is a baseline study that aims to assess functional diversity and biomass of herbivorous fish as indicators of resilience potential of coral reef ecosystems in Doreri Bay, Manokwari Regency. Belt transect method was applied in collecting fish species data, number, and length of fish. The functional diversity of herbivorous fish groups was calculated as the number of functional groups present at each observation site. The average length of the fish size class was applied to calculate biomass using the length-weight relationship formula (L-W), which is W = a × L, where a and b are the parameter values for each species obtained from FishBase. Biomass was calculated as an estimate of the total weight of herbivorous fishes, divided by the area covered by transects, then converted to units of grams per square meter (g m). To obtain a composite value from both indicators at each site, the normalization process of the values of each indicator was carried out, then the values of both were averaged. The results showed that herbivorous fish in Doreri Bay consisted of 3 functional groups, namely grazers/detritivores, small excavators/scrapers, and browsers. The grazer/detritivore group was found at 29 sites, scraper/small excavator at 20 sites and browsers at only 12 sites out of a total of 30 observation sites. Biomass values are generally relatively low, ranging from 0.85 to 494.12 g m and the average biomass ranging from 0.42 to 54.90 g m. The highest biomass values are found in the southwest of Lemon Island, in the southern reef flat, and south of Lemon Island. In contrast, the lowest biomass was found in the east and northeast of Lemon Island, as well as the northern reef flat. The results of this study suggest that long-term monitoring programs need to be designed to provide long-term trend information from herbivorous fish populations and other important factors in maintaining coral reef resilience.
Liquid to solidlike transitions of molecularly thin films under shear

We have measured the shear forces between two molecularly smooth solid surfaces separated by thin films of various organic liquids. The aim was to investigate the nature of the transitions from continuum to molecular behavior in very thin films. For films whose thickness exceeds ten molecular diameters both their static and dynamic behavior can usually be described in terms of their bulk properties, but for thinner films their behavior becomes progressively more solidlike and can no longer be described, even qualitatively, in terms of bulk/continuum properties such as viscosity. The solidlike state is characterized by the ordering of the liquid molecules into discrete layers. The molecular ordering is further modified by shear, which imposes a preferred orientation. All solidlike films exhibit a yield point or critical shear stress, beyond which they behave like liquid crystals or ductile solids undergoing plastic deformation. Our results on five liquids of different molecular geometry reveal some very co.
Adventitial cystic disease with spontaneous recanalization of popliteal artery

Cystic adventitial disease of the popliteal artery is a rare disease that usually manifests with intermittent claudicating. Patients are usually young and without risk factors for atherosclerosis. In this report, we present a case of a 52 years old man with thrombosis of popliteal artery which recanalized spontaneously a year later. Given the persistence of claudicating and the suspicion of cystic adventitial disease, we decided to perform resection of the affected artery and revascularization with prosthetic grafting.
Predicción de la enfermedad de Parkinson utilizando redes neuronales convolucionales

RESUMEN La enfermedad de Parkinson (EP) es un desorden neurodegenerativo del sistema nervioso, de causa desconocida y curso crónico, progresivo e irreversible. En la actualidad se asume que los cambios patofisiológicos que permiten apreciar los síntomas de la enfermedad, no son visibles hasta al menos cuatro años luego de su inicio. Por esta causa, se buscan métodos alternativos que permitan detectar la enfermedad en forma temprana. Dado que las deficiencias del habla es uno de los síntomas de la enfermedad, esto puede dar origen a un biomarcador para el diagnóstico temprano y el monitoreo de la enfermedad. Este trabajo propone un estudio a partir del aprendizaje profundo de los espectrogramas obtenidos de señales de voz grabadas con celulares. Como objetivo se plantea realizar aportes al diagnóstico de EP, contribuyendo asimismo al conocimiento de las características de la voz afectadas por la enfermedad. Para tal fin se creará una base de datos de espectrogramas de los segmentos de audio que mejor permitan caracterizar la voz de los EP. Se desarrollarán modelos de redes neuronales convolucionales con distintas arquitecturas para distinguir los EP de los pacientes sanos, utilizando la validación adecuada para las características de dichos datos.
Nitrogen‐15 NMR characterization of 7‐methylguanosine and its base‐pair with cytidine in dimethyl sulphoxide

The neutral and the protonated, positively charged, forms of 7‐methylguanosine have been characterized by 15N NMR in dimethyl sulphoxide. It is shown that in this solvent protonated 7‐methylguanosine gives specific interactions with cytidine at the same sites as those involved in the guanosine‐cytidine Watson‐Crick base‐pairs present in nucleic acids.