Miracle-dz/UniFAR-FTUs huggingface dataset:
Capturing the Communication Context of Virtual Communities of Practice

This paper reports a case study focusing on the challenges in the communication context of these virtual communities of practice. The study was carried out in a globally operating telecommunications company and it comprises 19 semi-structured interviews with employees working in distributed organisations. The interview data was analysed with qualitative content analysis after which interaction diagrams were generated. In addition, the appropriateness of using interaction diagrams as a research method is evaluated. The results indicate that the challenges of communicating and sharing knowledge in virtual CoPs are related to the communication artifacts, to the ICT mediated ways to interact, and to the current work processes and practices.
Practice of Epidemiology Fitting General Relative Risk Models for Survival Time and Matched Case-Control Analysis

Cox proportional hazards regression analysis of survival data and conditional logistic regression analysis of matched case-control data are methods that are widely used by epidemiologists. Standard statistical software packages accommodate only log-linear model forms, which imply exponential exposure-response functions and multiplicative interactions. In this paper, the authors describe methods for fitting non-log-linear Cox and conditional logistic regression models. The authors use data from a study of lung cancer mortality among Colorado Plateau uranium miners (1950–1982) to illustrate these methods for fitting general relative risk models to matched casecontrol control data, countermatched data with weights, d:m matching, and full cohort Cox regression using the SAS statistical package (SAS Institute Inc., Cary, North Carolina).
Data-driven personas: Generating consumer insights with the use of clustering analysis from big data

This report describes a graduation project carried out at Exact business software. The goal of the project was to develop data-driven personas for the accountancy team within the company. The previously used set of personas were based on intuition, which created a feel for what type of person to design for. This might be relevant for empathizing and designing, but not if decisions are based on them. Therefore, a data approach was needed. In this project the user activity in the software served as input for the persona creation to enhance more informed decision making. The creation of these personas was performed with the use of data analysis from a sample that contained 1725 users in 163 administration offices. These users performed around 400.000 clickstreams in three months. Two levels of clustering techniques were applied to retrieve similar usage behaviour. First, dominant tasks were grouped together into common workflows. Second, these common workflows were used to retrieve groups of users with similar usage patterns. As a result, the user types were different in the type of tasks they were likely to perform. To create a complete picture of these user types derived from the data analysis, additional user interviews were conducted that obtained qualitative insights. All pieces of information (data analysis clusters, qualitative insights, and existing knowledge) came together in a persona co-creation session with the accountancy team of Exact. After further interpretation of the research results, a new set of personas was created which contained empathy, data, and creative thinking. The accountancy team decided to replace the old personas with the data-driven ones. In other words, the team is now able to make more informed decisions and have a better understanding of their users. Next to software usage, additional information on how these users act when they do not use the software was explored during the user interviews. This resulted in examining the collaboration between accountant and entrepreneur. What derived from current collaboration moments was that there is a “mismatch” between accountant and entrepreneur. In more detail, the two have different values regarding their financial situation and this often results in friction (e.g. too late delivery of documents by an entrepreneur). To solve this problem a new concept is presented in this graduation project which is in line with a current developing trend. This is the changing role of accountants to become business advisors. The concept helps accountants to “think like an entrepreneur” by communicating among goals. This facilitates accountants to give more natural advice, since they retrieve insights in their client. Entrepreneurs now have a internal driver to make use of Exact Online, because they want to complete their goals in order to strive towards success.
Corporate Social Responsibility Practices of the Textiles and Apparel Industry -Content Analysis of Website Disclosures-

This study explored the current implementation status of corporate social responsibility (CSR) among textiles and apparel manufacturers and retailers in Korea, based on the Triple Bottom Line (TBL). We also investigated the provision of information related to CSR practices on the websites of companies. A quantitative content analysis was conducted to analyze the website disclosures of 61 listed companies categorized in the textiles, apparel, shoes, and luxury industry. Analysis was focused on the presence, accessibility, and the level of CSR website disclosure. Seven themes emerged by applying the constant comparison analysis. Using Scott’s formula for pi, a high level of inter-coder reliability was achieved, ranging from 0.91 to 0.97. Regarding the three dimensions of CSR suggested in TBL, economic dimension was relatively more emphasized in the website disclosures of most companies, compared to social and environment dimensions. Website disclosures were further investigated, based on the product categories of each company. Limitations of this study and suggestions for future studies are discussed.
Investigating the Size and Economic Value of the Business Tourist Market in Malaysia

The business tourism sector is recognized as a high-yield component of the tourism industry with hedonic economic impact on businesses, destinations, local economies, and the development of human capital. It is considered as one of the fastest developing and most profitable sectors. There fore, the current research was set out to investigate the size and economic value of the business tourist market in Malaysia by highlighting the microareas of business tourists' expenditure and their experience, and presenting a model defining the total economic impact (direct, indirect, and induded), contribution to employment, and contribution to tax revenue generated for Malaysia. A quantitative research approach was applied with two self-administered survey questionnaires used to collect the data (n=5.555) in order to observe the travel information, spending patterns, and experiences of international travelers attending business events in Malaysia, which are mainly conferences and exhibitions. The economic impact assessment in the study was made using a money generation model (MGM). The current study provides its novel findings at a national level and defines business tourists (international travelers) as conference delegates and exhibition buyers attending/joining business events in Malaysia. Along with presenting the demographics, spending patterns, and behavioral patterns of the business tourists, the results also show that in 2014 the business tourism sector contributed significantly to the Malaysian economy at MYR4.7 billion (US$1.44 billion) of direct economic value, MYR9.7 billion (US$2.96 billion) of total economic impact (direct, indirect, and induced), along with 325,437 job opportunities in the local economy and MYR416 million (US$127.2 million) in tax revenue (direct, indirect, and induced).
The Foundations of Small Business Enterprise

This book provides an extended and new entrepreneurial analysis of small firm inception and growth. The book is grounded in economics with a special focus on industrial organisation. In order to gain a deeper understanding of micro firms; the author develops a micro-micro analysis, applying methods from economics, accounting and finance. Using statistical, econometric and qualitative methods of empirical research, the author traces and explores the evolution of firms from early years through to maturity.
Promoting Sustainable Food Provision; the Role of Networks in Global Food Governance

Food provision in contemporary societies is transforming due to challenges of globalization, sustainability and equity. The interactions between civil society organizations, governments, the food industry, consumers and producers constitute dynamic fields of environmental change in global food provision. Promoting equitable and sustainable food provision in a globalizing world requires well-informed insights in these social dynamics involved because global food governance involves a complex array of different public and private actors. Today we are faced with a fragmented, differentiated, hybrid and contested constellation of global food governance arrangements and therefore we need a network rather than a formalized perspective on food governance. Such a network perspective can serve as the start of a new research agenda for the study of global sustainable food governance.
Effect of Haloperidol on mPer1 Gene Expression in Mouse Suprachiasmatic Nuclei*

The effect of a typical neuroleptic haloperidol (Hal) on mPer1 gene expression was investigated in mouse suprachiasmatic nuclei (SCN). Hal induced mPer1 mRNA levels both in vivo and in cultured SCN cells. For mechanisms underlying Hal-induced mPer1 expression, N-methyl-d-aspartate (NMDA) glutamate receptor subtype, the phosphorylation form of the transcription factor, and the Ser-133 phosphorylation form of cAMP-responsive element-binding protein (CREB) played an important role, because the induction of mPer1 mRNA significantly decreased after pretreatment with a non-competitive NMDA receptor antagonist, such as MK-801 or CREB antisense. These results suggest that Hal may increase CREB phosphorylation and mPer1 expression according to the activation of the NMDA receptor through the dopaminergic pathways. Although the injection of Hal during the light period increased the amplitude of mPer1 mRNA rhythmicity in a nondrug state, the injection of the drug during the dark period disturbed the rhythmic pattern of mPer1 mRNA. These results suggest that the rhythmicity of clock genes in SCN may be disturbed depending on the dosing time of Hal. On the other hand, because the induction of mPer1 mRNA by Hal seems to be at least partly caused by the NMDA receptor, showing a phase shift or resetting effect of the circadian clock, Hal may also cause such phase shift effects.
Pharmacokinetics, metabolism, and excretion of nefopam, a dual reuptake inhibitor in healthy male volunteers

Abstract 1. The disposition of nefopam, a serotonin–norepinephrine reuptake inhibitor, was characterized in eight healthy male volunteers following a single oral dose of 75 mg [14C]-nefopam (100 μCi). Blood, urine, and feces were sampled for 168 h post-dose. 2. Mean (± SD) maximum blood and plasma radioactivity concentrations were 359 ± 34.2 and 638 ± 64.7 ngEq free base/g, respectively, at 2 h post-dose. Recovery of radioactive dose was complete (mean 92.6%); a mean of 79.3% and 13.4% of the dose was recovered in urine and feces, respectively. 3. Three main radioactive peaks were observed in plasma (metabolites M2 A-D, M61, and M63). Intact [14C]-nefopam was less than 5% of the total radioactivity in plasma. In urine, the major metabolites were M63, M2 A-D, and M51 which accounted for 22.9%, 9.8%, and 8.1% of the dose, respectively. An unknown entity, M55, was the major metabolite in feces (4.6% of dose). Excretion of unchanged [14C]-nefopam was minimal.
Harnessing Complexity in Design

Large scale design problems involve complex systems. The complexity arises from the nature of the large interconnected systems and is escalated by the background, personal characteristics, and perspectives of the individuals working on the design team. It is important for designers to understand complexity and how complexity affects the understanding and prediction of system behavior. It is even more important to manage the complexity such that it does not overwhelm the design effort and prevent the development of effective solutions. This paper presents an overview of complexity, discusses how complexity can increase almost with out bound, and suggests ways to control the impact of complexity on design processes.
Current Diagnosis and Management of Cervical Spondylotic Myelopathy

Study Design: Review. Objectives: Cervical spondylotic myelopathy (CSM) is a major cause of disability, particular in elderly patients. Awareness and understanding of CSM is imperative to facilitate early diagnosis and management. This review article addresses CSM with regard to its epidemiology, anatomical considerations, pathophysiology, clinical manifestations, imaging characteristics, treatment approaches and outcomes, and the cost-effectiveness of surgical options. Methods: The authors performed an extensive review of the peer-reviewed literature addressing the aforementioned objectives. Results: The clinical presentation and natural history of CSM is variable, alternating between quiescent and insidious to stepwise decline or rapid neurological deterioration. For mild CSM, conservative options could be employed with careful observation. However, surgical intervention has shown to be superior for moderate to severe CSM. The success of operative or conservative management of CSM is multifactorial and high-quality studies are lacking. The optimal surgical approach is still under debate, and can vary depending on the number of levels involved, location of the pathology and baseline cervical sagittal alignment. Conclusions: Early recognition and treatment of CSM, before the onset of spinal cord damage, is essential for optimal outcomes. The goal of surgery is to decompress the cord with expansion of the spinal canal, while restoring cervical lordosis, and stabilizing when the risk of cervical kyphosis is high. Further high-quality randomized clinical studies with long-term follow up are still needed to further define the natural history and help predict the ideal surgical strategy.
The MOX promoter in Hansenula polymorpha is ultrasensitive to glucose-mediated carbon catabolite repression.

Redesigning biology towards specific purposes requires a functional understanding of genetic circuits. We present a quantitative in-depth study on the regulation of the methanol-specific MOX promoter system (PMOX) at the single-cell level. We investigated PMOX regulation in the methylotrophic yeast Hansenula (Ogataea) polymorpha with respect to glucose-mediated carbon catabolite repression. This promoter system is particularly delicate as the glucose as carbon and energy source in turn represses MOX promoter activity. Decoupling single cells from population activity revealed a hitherto underrated ultrasensitivity of the MOX promoter to glucose repression. Environmental control with single-cell technologies enabled quantitative insights into the balance between activation and repression of PMOX with respect to extracellular glucose concentrations. While population-based studies suggested full MOX promoter derepression at extracellular glucose concentrations of ∼1 g L(-1), we showed that glucose-mediated catabolite repression already occurs at concentrations as low as 5 × 10(-4) g L(-1) These findings demonstrate the importance of uncoupling single cells from populations for understanding the mechanisms of promoter regulation in a quantitative manner.
Conceptual model for cloud ERP adoption for SMEs

The Small and Medium Enterprise industry is experiencing a major transformation towards cloud ERP systems. These systems can organize, and maintain data remotely, accept a pay-as-you- use method and enhance related information through a cloud computing platform. Hence, this makes the cloud ERP system crucial for their sustainability and enables them to become competitive in the market. However, the adoption rate of cloud ERP among Small and Medium Enterprises (SMEs) has been recorded as slightly low compared to other enterprise systems like Customer Relationship Management. This could be attributed to unclear adoption factors among SMEs and the lack of a theoretical model that can enhance the predictive power to adopt a cloud ERP system. To address this gap, the objective of this study is to develop a conceptual model by which to investigate the broad factors which influence or inhibit the adoption of cloud ERP, the model based on TOE, DOI and FVM. Thus, this model intends to help SMEs managers understand and increase predictive capacity on cloud ERP adoption. The model has been constructed using four dimensions, namely; task, technology, organization and environmental. Findings from this study are projected to be able to instruct SMEs decision-makers on the factors that will lead to successful adoption. The proposed model will be a critical lens for decision-makers on cloud ERP adoption.
Double-fused 1.5 /spl mu/m vertical cavity lasers operating continuous wave up to 71/spl deg/C

We report record high temperature performance of long wavelength vertical cavity lasers, operating continuous-wave up to 71/spl deg/C. A record high long wavelength characteristic temperature (T/sub o/) of 132 K has been measured over an operating range of -75/spl deg/C to 35/spl deg/C.
Plane 3-Trees: Embeddability and Approximation

We give an $O(n\log ^3 n)$-time linear-space algorithm that, given a plane 3-tree $G$ with $n$ vertices and a set $S$ of $n$ points in the plane, determines whether $G$ has a point-set embedding on $S$ (i.e., a planar straight-line drawing of $G$ where each vertex is mapped to a distinct point of $S$), improving the $O(n^{4/3+\varepsilon})$-time $O(n^{4/3})$-space algorithm of Moosa and Rahman [Lecture Notes in Comput. Sci. 6842, Springer, New York, 2011, pp. 204--212]. Given an arbitrary plane graph $G$ and a point set $S$, Kaufmann and Wiese [J. Graph Algorithms Appl. , 6 (2002), pp. 115--129] gave an algorithm to compute 2-bend point-set embeddings of $G$ on $S$. Later, Di Giacomo and Liotta [Lecture Notes in Comput. Sci. 5942, Springer, New York, 2010, pp. 35--46] showed how such a drawing can be computed using $O(W^3)$ area, where $W$ is the length of the longest edge of the bounding box of $S$. Their algorithm uses $O(W^3)$ area even when the input graphs are restricted to plane 3-trees. We introduce.
Economic-financial analysis of the wine firms listed on the Madrid Stock Exchange General Index

The grape and wine-growing activity is one of the most traditional in the Spanish agriculture, and our wines have been known all over the world for centuries. It is a sector which has committed itself to the future, increasing day by day the quality of its products, in an attempt to face with total security the markets globalisation and the hard competition of wines from emergent new countries. One of the tools these firms have for financing their investments is to be listed on the Stock Exchange. The present work analyses, on one hand, the Market performance for the wine firms quoted on the Madrid Stock Exchange General Index in the last five years. On the other hand, it also studies their economic results and profitability indicators development since they were listed on the Market.
IFN‐γ, But Not Nitric Oxide or Specific IgG, is Essential for the In vivo Control of Low‐virulence Sylvio X10/4 Trypanosoma cruzi Parasites

Highly virulent strains of Trypanosoma cruzi are frequently used as murine models of Chagas’ disease. However, these strains do not fully represent the spectrum of parasites involved in the human infection. In this paper, we analysed parasitaemia, mortality, tissue pathology and parasite‐specific IgG serum levels in immune‐deficient mice infected with Sylvio X10/4 parasites, a T. cruzi derived from a chagasic patient that yields very low parasitaemias and in C3H/HePAS mice induces a chronic cardiopathy resembling the human disease. IFN‐γ was identified as a crucial element for parasite control as its absence determined a drastic increase in parasitaemia, tissue parasitism, leukocyte infiltrates at the heart and striated muscles and mortality. The lack of IFN‐γ or IL‐12p40, a molecule shared by IL‐12 and IL‐23, also resulted in spinal cord lesions and a progressive paralysis syndrome. Whereas IgG2a was the main Ig isotype in infected C57BL/6 mice, IL‐12p40‐KO mice produced IgG2a and IgG1 and IFN‐γ‐KO mice produced only IgG1. The IFN‐γ‐protective effect was not essentially mediated by nitric oxide (NO), inasmuch as infected iNOS‐KO mice showed no parasitaemia and low tissue damage. Mice deficient in CD4+ or CD8+ T cells showed an intermediate phenotype with increased mortality and tissue pathology but no parasitaemia. Interestingly, CD28‐KO mice were unable to produce anti‐T. cruzi IgG antibodies but presented moderate tissue pathology and managed to control the infection. Thus, differently from infections with high virulence parasites, neither IgG, NO nor CD28‐mediated signalling are essential for the non‐sterile control of Sylvio X10/4 parasites.
Single versus Multiple Sets for Strength: A Meta-Analysis to Address the Controversy

Weight training can be used as a stressor to overload the neuromuscular system and develop strength. A number of weight training variables can be manipulated to overload this system. The main variables include volume, intensity, and the amount of rest allowed between sets or workouts. Of these variables, volume has received much interest among researchers and professionals, and considerable debate has arisen (Byrd, 1999) regarding an increased strength benefit of multiple-set programs. The debate over the amount of volume needed to elicit maximal strength gains has continued in recent years with several narrative reviews (Carpinelli & Otto, 1999; Feigenbaum & Pollock, 1999) ofresearch literature comparing single and multiple sets of training. These reviews have determined that single-set training programs elicit similar strength increases or health benefits (especially in untrained individuals) compared to multiple-set programs due to the inability of most of these studies to identify a statistical difference at the . 05IeveI. The reliance on probability values (p) places considerable importance on statistical power. If statistical power is low, the possibility of committing a Type II error (failing to reject the Null hypothesis despite a true difference existing) is increased. With this in mind, a
Local Heroes and Superstars

Recent studies of the demand for sports clearly indicate that stars play an important role in promoting fan interest. However, on theoretical grounds it is controversial if a star's talent superiority and/or a star's popularity drive match attendance and hence increase gate revenues. Using longitudinal match attendance data of all clubs in the first German soccer league in a 9-year period, the authors analyze star attraction of national superstars and of so-called ``local heroes'' defined as the most valued players of teams without national superstars. The authors find empirical evidence that these groups differ in the way they attract fans: whereas superstars enhance attendance both at home and on the road, the star attraction of local heroes is limited to home games. In addition, superstars attract fans by outstanding field performances, whereas local heroes facilitate fan support by mere popularity.