Miracle-dz/UniFAR-FTUs huggingface dataset:
The Moderating Role of Attitude Functions upon Consumer Decisions to Purchase Wine Online

Purpose: This study focuses upon Korean wine purchasers as an online buying segment in order to explore the construct ‘ trust’ based on consumer value to determine the roles of attitude functions as moderating variables in order to explain the buying behaviors of consumers who purchase wine products online. Design: Data were obtained from a convenience sampling of n=300 adults who purchased wine online in South Korea during 2012. Personal interviews using paper and pencil surveys generated a total of 195 completes. Of that total, six surveys were eliminated due to missing values, resulting in a total useable sample of n=189 completed surveys. Hypotheses testing was accomplished using structural equation modelling methods. ◦Findings: First, quality, emotional values and social values had significant effects on website trust; price value had no significant effect on trust. Second, trust in the online wine site had a significant influence upon online purchasing intention. Third, social value had a significant effect on online purchasing intention. Finally, it was found that in terms of the moderating effect between two attitude functions, value expressive attitude reinforced the relationship between quality value and site trust, whereas social adjustive attitude strengthened the relationship between social value and site trust. ◦Practical implications: Presently, limited amounts of wine products are commercially available on the interne in South Korea. As the opportunity for online wine purchasing advances, this early study’s findings should provide helpful information to better understand consumer online wine-buying behaviours as this wine market continues to develop.
Integrated Indoor-outdoor Scene Classification based on Local and Global Descriptors

In this paper, we propose an indoor-outdoor scene classification method based on a systematic integration of a local shape vocabulary, a local color vocabulary and global color feature vectors. Existing methods based on the Bag-of-Words (BOW) use only local descriptors whereas other scene classification approaches use only global descriptors. However, we utilize both of local and global descriptors using decision-level fusion method. Experimental results on a variety of datasets are presented to demonstrate the improved performance of the proposed approach over the existing methods.
L vs. LCL Filter for Photovoltaic Grid-Connected Inverter: A Reliability Study

The increasing use of photovoltaic systems entails the use of new technologies to improve the efficiency and power quality of the grid. System performance is constantly increasing, but its reliability decreases due to factors such as the uncontrolled operation, the quality of the design and quantity of components, and the use of nonlinear loads that may lead to distortion in the signal, which directly affects the life of the system globally. This article presents an analysis of the reliability of a single-phase full-bridge inverter for active power injection into the grid, which considers the inverter stage with its coupling stage. A comparison between an L filter and an LCL filter, which comprise the coupling stage, is made. Reliability prediction is based on metrics, failure rate, mean time between failures, and total harmonic distortion. The analysis and numerical simulation are performed. Finally, filter considerations are suggested to extend the reliability of the inverter in a photovoltaic system.
An Adaptive Network Data Collection System in SDN

Network data collection is a vital part in the process of network monitoring, traffic billing, network management and intrusion detection. As a new kind of network architecture, Software Defined Network (SDN) provides a possibility of intelligent and adaptive network data collection with centralized control and programming. However, existing literatures lack a concrete solution to economically collect network data, while satisfying the quality of data processing and analytics. Current data collection methods are not sufficiently adaptive and intelligent in terms of network context awareness. In this paper, we propose an adaptive network data collection system in SDN by automatically selecting proper data collection nodes based on network status in a dynamic way. During data collection, network traffic is sampled by considering flow characteristics in order to effectively reduce the amount of collected data while ensuring the accuracy of later data analysis, e.g., malicious traffic detection. A series of experiments are conducted to test and verify the data collection system and show its advantages through comparison with existing works in terms of CPU/memory consumption, storage usage, flow size recovery, and threat perception.
Adventure tourism activities as a tool for improving adventure tourists’ wellness

Wellness involves a conscious, progressing and self-directed process of realising one’s full potential and is often described as a holistic, multidimensional and positive experience, including lifestyle, mental, social, occupational, spiritual and environmental well-being. It can thus be argued that by applying the Dimensional Model of Wellness, tourism, specifically adventure tourism organisations can develop successful wellness activities and programmes by becoming aware of the interrelatedness of each dimension and their impact on healthy living. This study sought to examine whether adventure tourism activities could be used as a tool for improving adventure tourists’ wellness using an adaption of the Dimensional Model of Wellness. The research was conducted at adventure sites of the Tshwane Metro area in Gauteng Province, South Africa of which the criteria required was for the respondents to be either residents or visitors who participate in adventure activities. The study employed an on-site survey based on a quantitative approach with a self-administered questionnaire as the research instrument. The research instrument was based on the seven dimensions of wellness, namely physical, emotional, social, environmental, intellectual, occupational and spiritual. Convenience sampling was used for the total sample frame of N = 213. The results indicated that there is a compelling relationship between the wellness dimensions and adventure tourism and that participating in adventure activities improve overall wellness. Based on the findings of the study, it was concluded that adventure tourism activities are an effective tool for improving adventure tourists’ lifestyles.
Wicked questions and developing Leadership competences in a network society Preparing young professionals for the future

Due to globalization, rapid and disruptive changes and technological developments, society and organisations are increasingly confronted with developments and challenges which are more and more “wicked” in nature. Global warming, refugees, an increasing gap between rich and poor, food security and depletion of resources to name a few. These challenges are difficult, if not impossible, to solve, and for each solution, due to interdependencies, other questions and challenges/problems arise. In this paper we show results of the development and validation of the ‘Wicked Explorer’ to assess the nature and level of “wickedness” of a challenge. In addition, we discuss necessary leadership competences to address wicked challenges, within the context of a network society, and relate these to relevant, recent leadership theories. Concluding the paper, a new educational concept of the Bachelor program Global Project and Change Management of Windesheim Hours College, the Netherlands is presented as offered at Windesheim University of Applied Sciences. The educational concept is called The Value Creators, a learning community facilitating students to address wicked challenges and develop essential 21st century skills like social responsibility, collaboration and leadership, creativity and innovation, critical thinking and problem solving in four areas: Civil Society, Global Health, Social Entrepreneurship and Urban Dynamics. We developed our own methodology for value creation: The E-model. It is based on Design thinking, connectivism [1] and Theory U [2]. It describes 4 essential phases to lead interdisciplinary teams through value creation when dealing with wicked challenges and complexity. Keywords—wicked questions, complexity theory, leadership styles and competences, network collaboration, education
Morning and Evening Effects of Guanfacine Extended Release Adjunctive to Psychostimulants in Pediatric ADHD

Objective: To examine efficacy and safety of adjunctive guanfacine extended release (GXR) on morning and evening ADHD symptoms using the Conners’ Global Index–Parent (CGI-P) and Before-School Functioning Questionnaire (BSFQ). Method: Participants 6 to 17 years with ADHD (N = 461) and suboptimal psychostimulant response were maintained on current psychostimulants and randomized to dose-optimized GXR (≤4 mg/d) in the morning (GXR AM) or evening (GXR PM), or placebo. Results: CGI-P scores improved with GXR (morning assessment, GXR AM, placebo-adjusted least squares [LS] mean = -1.7, GXR PM = -2.6; evening assessment, GXR AM = -2.4, GXR PM = -3.0; all ps < .01). Parent-rated BSFQ scores reflected improved morning functioning with GXR (GXR AM, placebo-adjusted LS mean = -5.1; GXR PM = -4.7; both ps < .01). Most adverse events were mild or moderate. Conclusion: Adjunctive GXR AM or GXR PM was associated with improvements in morning and evening ADHD symptoms in children and adolescents.
www.econstor.eu Analysis of Do-Not-Spam Registry

We study how the launching of a do-not-spam registry will affect the internet’s efficiency. We show that as long as the cost of sending spam messages is not high, having rich users (who have high-quality filters) join the registry has the desirable effect of lowering the number of spam messages sent to each user, while having poor users (who have low-quality filters) join the registry has the opposite undesirable effect. We also show that the registry improves the total efficiency of the internet as long as the cost of sending spam messages is not high; as more users join, the total number of spam messages sent to all users decreases.
Supplementary Information for “Neuroanatomical correlates of forgiving unintentional harms”

harms” Indrajeet Patil, Marta Calò, Federico Fornasier, Liane Young, Giorgia Silani Scuola Internazionale Superiore di Studi Avanzati, Neuroscience Sector, Trieste, Italy. Department of Psychology, Harvard University, Cambridge, MA, USA. University of Trieste, Trieste, Italy. Department of Psychology, Boston College, Boston, USA. Department of Applied Psychology: Health, Development, Enhancement and Intervention, University of Vienna, Austria.
On the conditions of MAML convergence

Model-agnostic meta-learning (MAML) is known as a powerful meta-learning method. In this paper, we derive the conditions that inner learning rate (cid:11) and meta-learning rate (cid:12) must satisfy for a simpliﬁed MAML to locally converge to local minima from any point. We ﬁnd that the upper bound of (cid:12) depends on (cid:11) , in contrast to the case of using the normal gradient descent method. Moreover, we show that the threshold of (cid:12) increases as (cid:11) approaches its own upper bound. This result is veriﬁed by experiments on various few-shot tasks and architectures; speciﬁcally, we perform sinusoid regression and classiﬁcation of Omniglot and MiniImagenet datasets with a multilayer perceptron and a CNN. Based on this outcome, we present a guideline for determining the learning rates: ﬁrst, search for the largest possible (cid:11) ; next, tune (cid:12) based on the chosen value of (cid:11) .
Analysis of Priority Scheduling Algorithm on the Basis of FCFS & SJF for Similar Priority Jobs Ms

— Scheduling is one of the most important activity of the process manager which take decision to choose which of the process in the ready queue will be assigned to the CPU. There are different types of scheduling algorithms available for taking decision. One of them is Priority Scheduling Algorithm, which is based on the priority assigned to each process. In priority scheduling the Processes are executed on the basis of priority, the process having highest priority is executed first. In case of similar priority FCFS is used. In this paper, the priority scheduling algorithm is used in such a way that, in case of similar priority SJF algorithm is used instead of FCFS and average waiting time and average turnaround time is calculated. The comparative analysis is performed on the SJF based priority scheduling and FCFS based priority scheduling to compare the average waiting time and average turnaround time.
Service blueprints and user journeys

One of the main skills that characterize a service designer is the ability to visualize. Nevertheless, there is a lack of research on how visualization tools are applied by service designers today. The aim of this article is to show how service designers use the two well-known visualization techniques user journey and service blueprint. This is done by interviewing four practicing service designers from four different companies about their use of the two visualization techniques. The results from the interviews are related to existing literature. Findings show that the applied science of the two visualization techniques differs from the pure science of the same techniques.
Motivation and Involvement in Camping – a Gender Perspective

Camping tourism is a popular recreational activity, where participants travel in order to spend time living in tents or caravans. Yet, this form of tourism has so far been neglected in tourism and hospitality research. This article focuses on factors that could motivate a camper (create a motivational state) to visit a campsite and to participate (a level of involvement) to participate in certain camping activities. It is postulated that there is a limited understanding in general on the psychological (motivation) and behavioural aspects (involvement) in terms of camping as a recreational activity. This study therefore investigates these two constructs among campers in South Africa. The sample was drawn from six campsites within 100km from Pretoria. The inclusion criteria of the campsites were as follows: they are located in a natural environment, campers have set up their tents and caravans; permission had been received to collect data from campers at the campsite, the campsites were easily accessible by road, and data collection could be managed during a day visit without having to stay overnight at the campsites. The realised sample consisted of 218 males and females aged 18 years and older, with a fairly equal distribution between male (n=49.1%) and female (n=50.9%) respondents. The results indicated that there is a statistically significant difference between males and females in terms of their involvement but not in terms of motivation. This study was a South African replication based on a study conducted by Kyle, Absher, Hammit and Cavin (2006) in the United States of America.
Relation between board composition and firm performance

I study the relationship between the composition of board of directors and company performance on two measures: Tobin’s Q and ROA. Using a panel data sample of more than 400 Finnish, Danish and Swedish companies over the years 2012-2018, I employ pooled OLS estimator and fixed effects regressions using firm and year fixed effects. I find significant evidence supporting my hypothesis that board size has a negative correlation with firm performance, measured with Tobin’s Q. On the contrary, I find only a little significance between board size and ROA. I also find a weak significant relation between the number of foreign directors and firm value. These findings are robust to foreseeable covariates, multicollinearity, heteroscedasticity, and omitted variables. These results contribute to the existing literature on corporate governance by providing robust evidence on a unique data set of Nordic countries in post-financial crisis markets.
AUTOMATIC DRUM TRANSCRIPTION WITH CONVOLUTIONAL NEURAL NETWORKS

Automatic drum transcription (ADT) aims to detect drum events in polyphonic music. This task is part of the more general problem of transcribing a music signal in terms of its musical score and additionally can be very interesting for extracting high level information e.g. tempo, downbeat, measure. This article has the objective to investigate the use of Convolutional Neural Networks (CNN) in the context of ADT. Two different strategies are compared. First an approach based on a CNN based detection of drum only onsets is combined with an algorithm using Non-negative Matrix Deconvolution (NMD) for drum onset transcription. Then an approach relying entirely on CNN for the detection of individual drum instruments is described. The question of which loss function is the most adapted for this task is investigated together with the question of the optimal input structure. All algorithms are evaluated using the publicly available ENST Drum database, a widely used established reference dataset, allowing easy comparison with other algorithms. The comparison shows that the purely CNN based algorithm significantly outperforms the NMD based approach, and that the results are significantly better for the snare drum, but slightly worse for both the bass drum and the hi-hat when compared to the best results published so far and ones using also a neural network model.
Recent Progress in Materials Valued Applications of Lignin Nanoparticles

Technical lignins from the biorefinery, pulp, and paper industries are largely underutilized, even though this aromatic and randomly structured biopolymer could be an interesting raw material for advanced applications in addition to bulk daily goods. Recently, colloidal lignin particles (CLPs) have gained much of the research interests due to the attractive multifunctional properties of the biopolymer. Utilization of lignin in nanoparticulate morphology resolves most of the drawbacks when using lignin (heterogeneity and low solubility). Stable lignin nanodispersions in different formulations is an attractive method to prepare tailored nanobiomaterials. Potential value-added applications include adhesives for wound sealing, edible coatings for foods, fiber modification for textiles to improve adhesion, hydrophobicity, antimicrobial and anti-oxidative properties of the material, as recently shown using chamois and nanocellulose
Change in Soil Chemistry and Rice Yield under Mineral Fertilizer and Organic Amendment as Occurring in Second Order Valley of Guinea Savanna: Evidence of Nonsymptomatic Iron Toxicity of Rice

Iron toxicity is a widespread abiotic constraint limiting drastically rice production in lowland and, it is advocated to establish more reliable characteristics of this constraint overcoming the shortage of rice production. Three cropping cycles of rice were conducted as on-farm experiment (split-plot) including mineral fertilizer – MF (N. P, K. Ca, Mg and Zn) and organic amendment – OA (rice straw) treatments in order to observe rice yields (straw and grain) in relation with changes in soil chemistry. Yield decreasing (6.3 – 2.99 t ha-1 for MF and 4.2 – 2.65 t ha-1for OA) was observed subsequently with impoverishment of soil chemistry (C, N, K, Ca, Mg and ECC) against increasing of soil contents of available P and iron (421.36 ppm-614.33 ppm) as well as its acidity. Soil concentration of Fe was significantly contributing to the decreasing trend of grain yield regardless of the treatments while isomorphic substitution was observed between soil contents of K and Fe under MF treatment resulting highest yield declining (50%). This process was limited under organic amendment further releasing P for yield stabilization. In the light of these finding, iron toxicity was characterized by K deficiency while no visual symptom was observed.
Novel Remanence Determination for Power Transformers Based on Magnetizing Inductance Measurements

The remanence (residual flux) in the core of power transformers needs to be determined in advance to eliminate the inrush current during the process of re-energization. In this paper, a novel method is proposed to determine the residual flux based on the relationship between residual flux and the measured magnetizing inductance. The paper shows physical, numerical, and analytical explanations on the phenomenon that the magnetizing inductance decreases with the increase of residual flux under low excitation. Numerical simulations are performed by EMTP (Electro-Magnetic Transient Program) on a 1 kVA power transformer under different amounts of residual flux. The inductance–remanence curves are nearly the same when testing current changes. Laboratory experiments conducted on the same transformer are in line with the numerical simulations. Furthermore, numerical simulation results on a 240 MVA are reported to demonstrate the effectiveness of the proposed method.
Prospects for Olive Growing in Bulgaria

Reformation of global tobacco market and changes in the CAP of EU gives strongly influence of tobacco farm in Bulgaria. With sharpness is the question of non-uncultivated lands, which raises the question "whether the soil and climatic conditions of the Eastern Rhodopes to allow success to be cultivated olives? ". Research in recent years has revealed that the olive is not only delicious food but also represents an important source of good health, and especially olive oil. Scientists say that because of these properties, olives and olive oil should be an essential component of every meal in one's daily nutrition program. The benefits of olive plants led us to thinking about adaptation and growing them in Bulgaria, as an alternative culture of the Eastern Rhodopes. To solve the target in study included Spanish olive varieties "Castellana","Arroniz" and "Cornicabra ", characterized by their high resistance to cold -16; -18оС. Based on the study conclusions are drawn regarding the adaptability of the varieties used on the territory of the Rhodopes in Bulgaria. It was found that the interception of olive trees is a medium to full rooting. Plants overcame adverse weather conditions with the least defeats are varieties of "Castellana" and "Arroniz". For a more comprehensive justification of the status and growing olives in Bulgaria continue to conduct periodic surveys of experimental fields, on their adaptability and reproduction.
Sulfur Hexafluoride (SF6) Plasma Treatment of Medical Grade Poly(methyl methacrylate)

Medical-grade poly(methyl methacrylate) (PMMA) is widely employed in the fabrication of intraocular lenses (IOLs), but suffers from opacification, a postoperative complication that leads to the failure of the implanted intraocular lenses. The opacification occurs when inorganic-based deposits accumulate on the surface of the IOL and are prevalent in hydrophilic materials. Here, the surface of medical-grade PMMA has been fluorinated by sulphur hexafluoride (SF6) plasma treatment to increase surface hydrophobicity thus improving the material lifetime in optical applications. Hydrophobic properties of the treated PMMA were investigated by means of contact angle measurements, while chemical modification was assessed by X-ray Photoelectron Spectroscopy (XPS) and Attenuated Total Reflectance Fourier Transform Infrared (ATR/FTIR) spectroscopy. Surface morphological changes due to possible etching effects were investigated by Atomic Force Microscopy (AFM). The transparency of the treated PMMA was assessed by UV/VIS spectroscopy. Finally, the influence of the plasma treatment on the inorganic salts deposition was investigated by immersion in Simulated Aqueous Humour (SAH), followed by XPS analysis. The modified samples showed less deposition on the surface than the unmodified sample, moreover, a decrease of the transmittance in the UV-violet range (300–430 nm) was detected, open the possibility of interesting applications of this treatment for the creation of a UV filter in ophthalmic optical devices.