Miracle-dz/UniFAR-FTUs huggingface dataset:
KNOWLEDGE TRANSMISSION OF INTERIOR DESIGN FIRMS IN TRADE FAIRS

This research explores on an individual level how interior design firms interact with and manage knowledge through participating in trade fairs. By analyzing the processes of participation from the preparation to the post-event phase, this research identifies points where firms acquire, share, and utilise knowledge. To gain an in-depth understanding, this research applies a qualitative method using semistructured interviews with eight interior design firms operating in the Netherlands. The firms are of varying sizes, from 1 to more than 950 employees. Additionally, desk research was conducted to provide a neutral background information regarding the firms and the trade fairs attended by the firms. The findings show that firms are unfamiliar of the term ‘Knowledge Management’ despite their intensive interaction with knowledge. Firms’ interaction with knowledge happens in each activities starting from the preparation phase to the post-event phase. Firms acknowledge the benefits of trade fairs as spaces for exchanging knowledge, constructing network and symbolic capital, bringing together supply and demand, and conducting experiments. Trade fairs motivate and facilitate exhibitors to present new products. Due to visitors’ expectation for new things and competition from other exhibitors, firms are triggered to be innovative in their exhibitions. As the firms gain feedback from visitors and inspiration from fellow exhibitors, they increase their innovation capability by being able to improve their product offerings and create new products according to the market’s needs and taste.
Iterative design of regularizers based on data by minimizing generalization errors

In our previous study (1998) we proposed a theoretical evaluation of generalization errors. However, it suffered from from serious difficulties: 1) it assumes that true model parameters and noise variance are known a priori; and 2) it assumes that input variables are mutually independent. These assumptions prevent its application to real data. The present paper succeeds in overcoming these two difficulties. A key idea is to iteratively estimate these parameters and generalization errors from data. Introducing correlations between input variables is not intrinsically difficult, although it makes computation much more complex than the cases where input variables are mutually independent.
Marketing and consumption of art products: the movie industry

Purpose The purpose of this paper is to investigate the impact of the importance, assigned by audiences, of factors such as people, movie features, script, price, promotion, and distribution channels (defined as a movie marketing mix) on the audience’s buying intentions, as well as the impact of their buying intentions on word of mouth (WOM). In addition, the intention is to explore the relationship between the preference and frequency of people’s cultural event attendance with their buying intention and the relationship between people with extroverted personalities and WOM. Design/methodology/approach The data were collected from 904 valid surveys conducted in Beyoglu, one of the important centres for the culture and art life of the Istanbul. Findings The results show that promotion, actor or actress, and diversity of distribution channels have a positive effect on people’s purchase intention. In addition, the frequency of attendance to cultural events can be determinative of the audience and helpful for industry professionals. Originality/value Although there have been a number of studies that examine the simple relationships among some of these variables (movie marketing mix, attendance, purchase intention, WOM, extraversion), there is still a gap in the literature with regard to these variables in an integrated framework. Considering these variables in the same model and analysing the effects of each dimension individually provides a better explanation of consumer purchase intention and post-purchase behaviour in the movie industry. This study extends the previous research by incorporating the concept of movie marketing and consumption by improving the scale with data collected in Istanbul, Turkey.
Accessing and selecting word meaning in autism spectrum disorder.

BACKGROUND Comprehension difficulties are commonly reported in autism spectrum disorder (ASD) but the causes of these difficulties are poorly understood. This study investigates how children with ASD access and select meanings of ambiguous words to test four hypotheses regarding the nature of their comprehension difficulties: semantic deficit, weak central coherence, reduced top-down control and inhibition deficit. METHODS The cross-modal semantic priming paradigm was used. Children heard homonym primes in isolation or as final words in sentences biased towards the subordinate meaning and then named picture targets depicting dominant or subordinate associates of homonyms. RESULTS When homonyms were presented in isolation, children with ASD and controls showed priming for dominant and subordinate pictures at 250ms ISI. At 1,000ms ISI, the controls showed dominant (but not subordinate) priming whilst the ASD group did not show any priming. When homonyms were presented in subordinate sentence contexts, both groups only showed priming for context-appropriate (subordinate) meanings at 250ms ISI, suggesting that context has an early influence on meaning selection. At 1,000ms ISI the controls showed context-appropriate (but not inappropriate) priming whereas the ASD group showed both appropriate and inappropriate priming. CONCLUSIONS Children with ASD showed intact access to semantic information early in the time course of processing; however, they showed impairments in the selection of semantic representations later in processing. These findings suggest that a difficulty with initiating top-down strategies to modulate online semantic processing may compromise language comprehension in ASD. Implications for intervention are discussed.
No evidence for an association between variants at the proline dehydrogenase locus and schizophrenia or bipolar affective disorder

The proline dehydrogenase locus must be considered as a positional and functional candidate in schizophrenia. It is located in the chromosomal region of the velocardiofacial syndrome on 22q11 that is suspected to contain genes relevant to schizophrenia, and is involved in the metabolism of neurotransmitters. Positive association between single-nucleotide polymorphisms at the proline dehydrogenase locus and schizophrenia further supported the role of proline dehydrogenase in the development of schizophrenia. In order to replicate these findings, we analyzed three single-nucleotide polymorphisms in a sample comprising 299 schizophrenic patients and 300 controls. In addition, we assessed whether proline dehydrogenase also contributes to bipolar affective disorder, because chromosome 22q11 is also implicated in bipolar affective disorder. We therefore included 300 patients with bipolar affective disorder. This is the first study on a potential involvement of the proline dehydrogenase locus in bipolar affective disorder. Neither single marker nor haplotype analysis revealed an association between variants at the proline dehydrogenase locus and schizophrenia or bipolar affective disorder.
Teenuse juhtimise mõõdikud suuremahulises tarkvaraarenduse tugiteenuste meeskonnas. Service management metrics for a large-scale Engineering Services Team

The thesis studies how data and metrics can be used to drive improvements in a large scale Engineering Services Team. Decision making based on metrics is examined. The main goals of the thesis are the following:  To understand the role of data and metrics in the service management and software development process.  To establish Key Performance indicators and other metrics for Skype Engineering Services Team. One of the purposes of the metrics is to support the planning process. The second purpose is to understand the progress made towards the goals set by the team and the company.  To find the best means for gathering, surfacing and using data to manage and support an Engineering System. The thesis starts by examining the role of metrics in the software development and service management process in general. The practices and benefits of incorporating metrics into daily workflows are explored. The introductory part finishes by giving and overview of the Skype Engineering Services Team and how data and metrics are used. Rest of the thesis continues by examining possibilities for improvements to Skype Engineering Services Team. Based on the business goals of the Skype Engineering Services Team, several metrics to measure the impact of the daily work are proposed. By analysing the data around the incident management process proposals for improvements are suggested. Key Performance indicators are established for the Build and Third Party Software area. The outcomes of the work are suggestions and actual implementations in the following areas  Service instrumentation.  Processes and tools for data gathering, storing, visualisation and analytic.s  Metrics for planning and understanding the impact of the work done in the Skype Engineering Service Team. In addition to the outcomes listed above the work reveals side effects that a data and metrics project can have. The owner’s lack of deeper understanding or misconceptions of the domain can be viewed as the biggest risk to the success of establishing Key Performance Indicators. In the other hand the exercise of measuring the impact of ones actions provides a good opportunity to get deeper insights in to business domain resulting in actions that otherwise would not have taken place.
Is audit quality Implied by Accruals Quality associated with Audit fees and Auditor Tenure? Evidence from China

The Enron and Arthur Andersen scandal has raised concerns internationally about auditor independence and audit quality. Furthermore, the debate continues about the relationship between audit fees, auditor tenure and audit quality in spite of extensive empirical evidence examining audit failures and earnings management. Therefore, the purpose of current research is to determine the effect of audit fee and audit tenure both partially and simultaneously on the audit quality. Using a sample of Chinese firms, an environment where we believe it provides us with an opportunity to test whether the development of market and legal institutions affects the impact of audit fees and auditor tenure on audit quality. We employ the standard deviation of residuals from regressions relating current accruals to cash flows as proxy for audit quality. The paper documents statistically significant negative association between audit fees and audit quality. These findings are consistent with economic bonding being a determinant of auditor behavior rather than auditor reputational concerns. Further, the current paper shows a positive association between auditor tenure and audit quality in the earlier years of audit tenure. These results support the proposition that when the Learning Effect dominates the Bonding Effect in the earlier years of tenure, then audit quality is likely to be higher. Taken audit fees and audit tenure together, the results suggest that there is positive association between audit fees and audit quality in the earlier years of auditor tenure. Interestingly, the findings of our study have important implications for policymakers, auditors, multinational firms, and users of financial reports. As the rapid growth of China's economy gains global recognition, the Chinese stock market is capturing the attention of international investors. To a lesser extent, our paper also differs from the prior studies in methodology and findings in the investigation of audit quality.
Energy bidding in a day-ahead electricity market using fuzzy optimization

Optimal bidding is considered to be one of the most challenging task for energy producers to bid in a day ahead electricity market. The randomness and uncertain nature associated with the generation of stochastic resources further increase the complexity of the problem. In this paper, an optimal bidding strategy is developed for a Generation Company (GENCO) to participate in a day ahead electricity market, taking into account conventional and stochastic generation resources. GENCO tries to maximize the profit and minimize the risk associated with the uncertainty of stochastic generation and market price. An optimal bidding strategy is developed to participate in a day-ahead market to achieve GENCO owner maximized profit and reduced risk for the system operator. The problem is formulated as a fuzzy Mixed Integer Linear Programming (MILP).
A New Strategy for Short-Term Load Forecasting

Electricity is a special energy which is hard to store, so the electricity demand forecasting remains an important problem. Accurate short-term load forecasting (STLF) plays a vital role in power systems because it is the essential part of power system planning and operation, and it is also fundamental in many applications. Considering that an individual forecasting model usually cannot work very well for STLF, a hybrid model based on the seasonal ARIMA model and BP neural network is presented in this paper to improve the forecasting accuracy. Firstly the seasonal ARIMA model is adopted to forecast the electric load demand day ahead; then, by using the residual load demand series obtained in this forecasting process as the original series, the follow-up residual series is forecasted by BP neural network; finally, by summing up the forecasted residual series and the forecasted load demand series got by seasonal ARIMA model, the final load demand forecasting series is obtained. Case studies show that the new strategy is quite useful to improve the accuracy of STLF.
The Ecosystem of Electronic Certificate Implementation in Electronic Commerce System

The Trend of e-commerce in Indonesia is growing and developing rapidly. It is driven from demographic trends that exist in Indonesia. If the electronic transaction business can be well managed business that will be a huge benefit to the economy. Currently e-commerce ecosystem in Indonesia is still unfavorable. One of the obstacles in electronic transactions, namely related payments. This problem arises because the consumer electronics business in Indonesia has yet to feel the ease and security in electronic transactions that affect their beliefs and attitudes. Related to this, online businesses have started offering payment solutions that enable customers. Therefore it takes an electronic transaction conducive ecosystem to support such solutions. In this case the Government is obliged to facilitate electronic transactions conducive ecosystem. In addition, the implementation of the strategy also needed institutional electronic certificate to encourage the growth Ecosystem transasksi Electronic System Operator reliability and performance as well as facilitate the Government in managing electronic certificate policy. This study aims to provide advice to the government in the form of an implementation strategy ecosystems electronic transactions. The study was conducted using Soft System. Results of this study provide advice to the Government related to the availability of infrastructure and institutional electronic certificates in electronic transaction systems ecosystem as well as focus on the enforcement of existing regulations.
Interpretive Structural Model of Key Performance Indicators for Sustainable Maintenance Evaluatian in Rubber Industry

Sustainable maintenance is a new challenge for manufacturing companies to realize sustainable development. In this paper, an interpretive structural model is developed to evaluate sustainable maintenance in the rubber industry. The initial key performance indicators (KPIs) is identified and derived from literature and then validated by academic and industry experts. As a result, three factors of economic, social, and environmental dividing into a total of thirteen indicators are proposed as the KPIs for sustainable maintenance evaluation in rubber industry. Interpretive structural modeling (ISM) methodology is applied to develop a network structure model of the KPIs consisting of three levels. The results show the economic factor is regarded as the basic factor, the social factor as the intermediate factor, while the environmental factor indicated to be the leading factor. Two indicators of social factor i.e. labor relationship, and training and education have both high driver and dependence power, thus categorized as the unstable indicators which need further attention. All the indicators of environmental factor and one indicator of social factor are indicated as the most influencing indicator. The interpretive structural model hoped can aid the rubber companies in evaluating sustainable maintenance performance.
Crystal structures of the catalytic domain of HIV-1 integrase free and complexed with its metal cofactor: high level of similarity of the active site with other viral integrases.

Human immunodeficiency virus (HIV) integrase is the enzyme responsible for insertion of a DNA copy of the viral genome into host DNA, an essential step in the replication cycle of HIV. HIV-1 integrase comprises three functional and structural domains: an N-terminal zinc-binding domain, a catalytic core domain and a C-terminal DNA-binding domain. The catalytic core domain with the F185H mutation has been crystallized without sodium cacodylate in a new crystal form, free and complexed with the catalytic metal Mg2+. The structures have been determined and refined to about 2.2 A. Unlike the previously reported structures, the three active-site carboxylate residues (D,D-35-E motif) are well ordered and both aspartate residues delineate a proper metal-binding site. Comparison of the active binding site of this domain with that of other members from the polynucleotidyl transferases superfamily shows a high level of similarity, providing a confident template for the design of antiviral agents.
Differentiation of Human Fetal Multipotential Neural Progenitor Cells to Astrocytes Reveals Susceptibility Factors for JC Virus

ABSTRACT Viral infections of the central nervous system (CNS) are of increasing concern, especially among immunocompromised populations. Rodent models are often inappropriate for studies of CNS infection, as many viruses, including JC virus (JCV) and HIV, cannot replicate in rodent cells. Consequently, human fetal brain-derived multipotential CNS progenitor cells (NPCs) that can be differentiated into neurons, oligodendrocytes, or astrocytes have served as a model in CNS studies. NPCs can be nonproductively infected by JCV, while infection of progenitor-derived astrocytes (PDAs) is robust. We profiled cellular gene expression at multiple times during differentiation of NPCs to PDAs. Several activated transcription factors show commonality between cells of the brain, in which JCV replicates, and lymphocytes, in which JCV is likely latent. Bioinformatic analysis determined transcription factors that may influence the favorable transcriptional environment for JCV in PDAs. This study attempts to provide a framework for understanding the functional transcriptional profile necessary for productive JCV infection.
Status Games: Market Driving through Social Influence in the U.S. Wine Industry

Research on market orientation finds that market-driven firms succeed by identifying and appealing to consumer needs. Yet many technologically innovative firms achieve remarkable success by taking a market-driving approach. The ways that firms drive markets without disruptive innovation, however, remain unclear. Adopting a market-systems perspective, the authors conduct an ethnographic analysis of producers, distributors, retailers, critics, and consumers in the U.S. wine market. They find that firms drive the market by playing a status game. Firms pursue a vision and advance that vision among influencers inside and outside the industry to gain recognition. Winners of the status game influence and drive social consensus by setting benchmarks and shaping consumer preferences to the firm's advantage. High status is difficult to imitate, creating an advantage that can endure for years or decades.
Hitches affecting the utilization of immovable municipal assets in achieving tourism development in East London city, South Africa

This paper examines the challenges facing South African local municipalities in fully capitalizing on immovable municipal assets to develop, grow and promote tourism. Both qualitative and quantitative research approaches were used. Secondary data was deployed, whereas primary data was collected through a questionnaire survey. Purposive and stratified sampling methods were applied. Buffalo City Metropolitan Municipality (BCMM) departments’ responsible for immovable municipal assets and tourism within the city of East London were targeted. Out of the 38 departments, the researchers’ identified 6 departments that have a direct control over immovable municipal assets and tourism in East London city. A total of 31 employees were surveyed. The Statistical Package for the Social Sciences (SPSS) software version 22 was used for the analysis of the results. The Department of Community Services manages most, (60%), of the city’s immovable assets, yet these assets are less utilized for tourism development. Very few of the city municipal assets are considered for use in adventure, culture and sports activities. The key findings point to lack of safety and security, poor hygiene including lack of marketing and knowledge on tourism as the foremost problems thwarting the use of immovable municipal assets. Immovable municipal assets should be recognized and promoted in-line with tourism activities. Municipalities also need to increase tourism personnel and initiate roadshows and workshops to sensitize liable local government departments on prioritizing tourism. If managed properly, immovable municipal assets have the potential to increase both domestic and international visitation.
Modélisation numérique des vibrations d'un pneumatique et de la propagation du bruit de contact

On propose dans ce travail un modele numerique dans le but de calculer les vibrations d'un pneumatique et la propagation du bruit de contact. Ce travail a ete effectue en deux parties : modelisation des vibrations du pneumatique et modelisation de la propagation du bruit. Les vibrations d'un pneumatique roulant sur une chaussee lisse sont etudiees en utilisant la methode des element finis par le logiciel de calcul Abaqus. Dans le but d'introduire les rugosites de la chaussee, la force de contact est calculee par un programme C++. La force de contact calculee est ensuite injectee dans le modele elements finis pour etudier le comportement dynamique du pneumatique en roulement. Les frequences propres, les modes propres et la fonction de transfert du pneumatique sont notamment calculees. La propagation du son dans l'espace autour du pneumatique est modelisee en utilisant la methode des elements de frontiere par le code SAMRAY. Notamment l'effet de l'amplification du son par la geometrie du pneumatique (effet diedre) a ete etudie en detail et valide analytiquement. L'influence de plusieurs parametres tels que la frequence, l'etendue et la position de la source et les parametres geometriques du pneumatique a ete etudiee en 2D et en 3D. Il a ete montre comment en utilisant les resultats du calcul des vibrations du pneumatique en roulement, on peut calculer le niveau sonore et l'amplification du bruit de contact.