Miracle-dz/UniFAR-FTUs huggingface dataset:
Do Culturally Intelligent Management Accountants Share More Knowledge?—The Mediating Role of Coopetition as Evident from PLS SEM and fsQCA

This work investigates whether management accountants (MA) who have experience of working in multicultural environments are more open to share their knowledge, learning and insights with others or not. The study was conducted in early 2018 by using a Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique with a sample of 107 MAs working in India in 7 different cities and in different multinational organizations. The research identified that coopetition mediated the relationship between cultural intelligence (CQ) and the intention to share knowledge (ISK) as evidenced by both PLS-SEM and fsQCA methods. This finding is significant for both theory and practice as coopetition involves both collaboration and completion amongst the MAs. The Multi Group Analysis (MGA) revealed no significant gender related differences amongst the practicing management accountants. The study also contributes to the methods by illustrating the modelling of the second order construct “cultural intelligence”, formatively. Thus, this study illustrates the use of second order reflective-formative constructs in management accounting literature, for exploring the theory. This architecture can be of significant use for future researchers.
Identification of Mutations in Distinct Regions of p85 Alpha in Urothelial Cancer

Bladder cancers commonly show genetic aberrations in the phosphatidylinositol 3-kinase signaling pathway. Here we have screened for mutations in PIK3R1, which encodes p85α, one of the regulatory subunits of PI3K. Two hundred and sixty-four bladder tumours and 41 bladder tumour cell lines were screened and 18 mutations were detected. Thirteen mutations were in C-terminal domains and are predicted to interfere with the interaction between p85α and p110α. Five mutations were in the BH domain of PIK3R1. This region has been implicated in p110α-independent roles of p85α, such as binding to and altering the activities of PTEN, Rab4 and Rab5. Expression of these mutant BH-p85α forms in mouse embryonic fibroblasts with p85α knockout indicated that all forms, except the truncation mutants, could bind and stabilize p110α but did not increase AKT phosphorylation, suggesting that BH mutations function independently of p110α. In a panel of 44 bladder tumour cell lines, 80% had reduced PIK3R1 mRNA expression relative to normal urothelial cells. This, along with mutation of PIK3R1, may alter BH domain functioning. Our findings suggest that mutant forms of p85α may play an oncogenic role in bladder cancer, not only via loss of ability to regulate p110α but also via altered function of the BH domain.
This Reprint May Differ from the Original in Pagination and Typographic Detail. Muscle Activity and Inactivity Periods during Normal Daily Life

All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Abstract Recent findings suggest that not only the lack of physical activity, but also prolonged times of sedentary behaviour where major locomotor muscles are inactive, significantly increase the risk of chronic diseases. The purpose of this study was to provide details of quadriceps and hamstring muscle inactivity and activity during normal daily life of ordinary people.2 kg) were measured during normal daily life using shorts measuring muscle electromyographic (EMG) activity (recording time 11.362.0 hours). EMG was normalized to isometric MVC (EMG MVC) during knee flexion and extension, and inactivity threshold of each muscle group was defined as 90% of EMG activity during standing (2.561.7% of EMG MVC). During normal daily life the average EMG amplitude was 4.062. 6% and average activity burst amplitude was 5.863. 4% of EMG MVC (mean duration of 1.461.4 s) which is below the EMG level required for walking (5 km/h corresponding to EMG level of about 10% of EMG MVC). Using the proposed individual inactivity threshold, thigh muscles were inactive 67.5611. 9% of the total recording time and the longest inactivity periods lasted for 13.967. 3 min (2.5–38.3 min). Women had more activity bursts and spent more time at intensities above 40% EMG MVC than men (p,0.05). In conclusion, during normal daily life the locomotor muscles are inactive about 7.5 hours, and only a small fraction of muscle's maximal voluntary activation capacity is used averaging only 4% of the maximal recruitment of the thigh muscles. Some daily non-exercise activities such as stair climbing produce much higher muscle activity levels than brisk walking, and replacing sitting by standing can considerably increase cumulative daily muscle activity. Copyright: ß 2013 Tikkanen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This study was funded by Academy of Finland (#128643/Finni), Ministry of Education (42/627/2010/Finni) and Urheiluopistosäätiö …
SESAM/Par4All: a tool for joint exploration of MPSoC architectures and dynamic dataflow code generation

Due to the increasing complexity of new multiprocessor systems on chip, flexible and accurate simulators become a necessity for exploring the vast design space solution. In a streaming execution model, only a well-balanced pipeline can lead to an efficient implementation. However with dynamic applications, each stage is prone to execution time variations. Only a joint exploration of the application space of parallelization possibilities, together with the possible MPSoC architectural choices, can lead to an efficient embedded system. In this paper, we associate a semi-automatic parallelization workflow based on the Par4All retargetable compiler, to the SESAM environment. This new framework can ease the application exploration and find the best tradeoffs between complexity and performance for asymmetric homogeneous MPSoCs and dynamic streaming application processing. A use case is performed with a radio sensing application implemented on a complete MPSoC platform.
Comparison between Discrete Wavelet Transform and Dual-Tree Complex wavelet Transform in Video Sequences Using Wavelet-Domain

There has been a lot of research work dedicated towards image denoising compared to those of video denoising due its complexity. However, with the wide spread of video usage in many fields of our lives, it becomes very important to develop new techniques for video denoising. The previous research in spatial video denoising was based on two of the famous techniques in the image denoising named 2-D Discrete Wavelet Transform (2D DWT) and 2-D Dual-tree Complex Wavelet Transform (2D DTCWT), which surpass the available image denoising techniques. In this paper, we introduce a comparative study of applying both Discrete Wavelet Transform and Dual-tree Complex Wavelet Transform techniques to the spatial video denoising. The main goal of this study is to exploit the advantages and disadvantages of using these techniques so as to determine the proper application of both.
Social Remittances and Social Capital: Values and Practices of Transnational Social Space

igration cannot be viewed anymore as the process that uproots persons from their home country and reintegrates them into a new society and culture. Recent studies suggested that contemporary immigrants do not severe their relationships with the home country, on the contrary, they forge and sustain multiple linkages with it. This study draws on Levitt’s (1998) concept of social remittances as the diffusion of social norms, practices, and social capital toward and from migrantsending countries. The first section of the paper defines social remittances in relation to other types of remittances. Further, it identifies factors that influence the magnitude of social remittances’ impact on home and host societies of migrants, and explains the pathways of its transfer. The second part of the study focuses on social capital and its role as a network in transferring values and norms reciprocally across national borders. Drawing on the essential attributes of social capital, such as trust and reciprocity, this paper argues that social capital creates the transnational social space, building on solidarity among people.
Stigma, Help-Seeking Behaviors, and Use of Services Among College Students with Self-Reported Posttraumatic Stress Disorder

Stigma, Help-Seeking Behaviors, and Use of Services Among College Students with Self-Reported Posttraumatic Stress Disorder by Angelina Marie Feagin MS, Walden University, 2008 BA, California State University Dominquez Hills, 2006 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Clinical Psychology
Towards detection of influential sentences affecting reputation in wikipedia

Wikipedia has become the most frequently viewed online encyclopaedia website. Some sentences in Wikipedia articles have direct and obvious impact on people's opinions towards the mentioned named entities. This paper defines and tackles the problem of reputation-influential sentence detection in Wikipedia articles from various domains. We leverage multiple lexicons, to generate domain independent features. We generate topical features and word embedding features from unlabelled dataset, to boost the classification performance. We conduct several experiments, to prove the effectiveness of these features. We further adapt a two-step binary classification method, to perform multi-classification. Our evaluation results show that this method outperforms the state-of-the-art one-vs-one multi-classification method for this problem.
Disputant Relation-Based Classification for Contrasting Opposing Views of Contentious News Issues

Contentious news issues, such as the health care reform debate, draw much interest from the public; however, it is not simple for an ordinary user to search and contrast the opposing arguments and have a comprehensive understanding of the issues. Providing a classified view of the opposing views of the issues can help readers easily understand the issue from multiple perspectives. We present a disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for understanding the discourse. It performs unsupervised classification on news articles based on disputant relations, and helps readers intuitively view the articles through the opponent-based frame and attain balanced understanding, free from a specific biased viewpoint. The method is performed in three stages: disputant extraction, disputant partitioning, and article classification. We apply a modified version of HITS algorithm and an SVM classifier trained with pseudorelevant data for article analysis. We conduct an accuracy analysis and an upper-bound analysis for the evaluation of the method.
A new ensemble classifier creation method by creating new training set for each base classifier

Base classifier's classification error and diversity are key factors in performance of ensemble methods. There is usually a trade-off between classification error and diversity in ensemble methods. Decreasing classification error of base classifiers usually makes them less diverse while increasing diversity, results in less accurate base classifiers. This paper proposes a new ensemble classifier generation method which aims to create more diverse base classifiers while making them more accurate. In this approach, training data for base classifiers are built by taking a bootstrap sample of the original training set and then manipulating a set of arbitrary attributes of each pattern. We experimented our ensemble of classifiers on 15 UCI data sets and were able to outperform Bagging, Boosting and Rotation Forest. Moreover, Wilcoxon signed rank test confirms our claim and shows that the proposed method is significantly better than other three methods on these data sets.
Development Of Simulation Tool For Digital PID Controlled Systems

Simulation tool for both the uncompensated and PID controlled second-order systems were developed. The system discrete-time response model was developed and coded using Visual Basic 6.0 version. Simulation of both the uncompensated and PID controller compensated standard second-order system was carried out using the developed tool. The resulting time-domain performance indices from the step responses showed no significant difference in the results obtained using the developed tool and MATLAB tool. This confirms the suitability of the developed tool in the area of simulation of any second-order system with or without PID controller.
Quantitative Morphology of Galaxies in the Hubble Deep Field

We measure quantitative structural parameters of galaxies in the Hubble deep field (HDF) on the drizzled F814W images. Our structural parameters are based on a two-component surface brightness made up of a Sérsic profile and an exponential profile. We compare our results to the visual classification of van den Bergh et al. and the C-A classification of Abraham et al. Our morphological analysis of the galaxies in the HDF indicates that the spheroidal galaxies, defined here as galaxies with a dominant bulge profile, make up for only a small fraction, namely, 8%, of the galaxy population down to mF814W(AB) = 26.0. We show that the larger fraction of early-type systems in the van den Bergh sample is primarily due to the difference in classification of 40% of small round galaxies with half-light radii less than 0. ″31. Although these objects are visually classified as elliptical galaxies, we find that they are disk dominated with bulge fractions less than 0.5. Given the existing large data set of HDF galaxies with measured spectroscopic redshifts, we are able to determine that the majority of distant galaxies (z > 2) from this sample are disk dominated. Our analysis reveals a subset of HDF galaxies that have profiles flatter than a pure exponential profile.
Time-Knocking: A novel addressing mechanism for wake-up receivers

Wake-up radios present a promising alternative to traditional duty-cycle approaches, by reducing overhearing and by eliminating idle listening completely. However, energy-efficient operation of the wake-up mechanism is required for the success of such systems. In particular, addressing is an important component of the wake-up procedure that can consume a significant portion of the energy required. Hence, in this paper we propose a novel energy-efficient scheme for addressing. The proposed method is called Time-Knocking (TicK), since it utilizes the time duration of the MicroController Unit (MCU) sleeping to encode an address. In this paper, it is shown through mathematical analysis that TicK is much more energy efficient compared to the two common addressing mechanisms: MCU-decoding and correlator-based addressing. For realistic performance evaluations, physical measurements are performed to extract the parameter values of each method or the parameter values from well-documented off-the-shelf devices are used. TicK enables significant energy savings, especially in environments where false addressing initiations are frequent due to interference or where multiple nodes are addressed frequently.
Feeding Low or Pharmacological Concentrations of Zinc Oxide Changes the Hepatic Proteome Profiles in Weaned Piglets

Pharmacological levels of zinc oxide can promote growth and health of weaning piglets, but the underlying molecular mechanisms are yet not fully understood. The aim of this study was to determine changes in the global hepatic protein expression in response to dietary zinc oxide in weaned piglets. Nine half-sib piglets were allocated to three dietary zinc treatment groups (50, 150, 2500 mg/kg dry matter). After 14 d, pigs were euthanized and liver samples taken. The increase in hepatic zinc concentration following dietary supplementation of zinc was accompanied by up-regulation of metallothionein mRNA and protein expression. Global hepatic protein profiles were obtained by two-dimensional difference gel electrophoresis following matrix-assisted laser desorption ionization/time-of-flight mass spectrometry. A total of 15 proteins were differentially (P<0.05) expressed between groups receiving control (150 mg/kg) or pharmacological levels of zinc (2500 mg/kg) with 7 down- (e.g. arginase1, thiosulfate sulfurtransferase, HSP70) and 8 up-regulated (e.g. apolipoprotein AI, transferrin, C1-tetrahydrofolate synthase) proteins. Additionally, three proteins were differentially expressed with low zinc supply (50 mg/kg Zn) in comparison to the control diet. The identified proteins were mainly associated with functions related to cellular stress, transport, metabolism, and signal transduction. The differential regulation was evaluated at the mRNA level and a subset of three proteins of different functional groups was selected for confirmation by western blotting. The results of this proteomic study suggest that zinc affects important liver functions such as blood protein secretion, protein metabolism, detoxification and redox homeostasis, thus supporting the hypothesis of intermediary effects of pharmacological levels of zinc oxide fed to pigs.
Connectivity-Guided Predictive Compression of Dynamic 3D Meshes

We introduce an efficient algorithm for real-time compression of temporally consistent dynamic 3D meshes. The algorithm uses mesh connectivity to determine the order of compression of vertex locations within a frame. Compression is performed in a frame to frame fashion using only the last decoded frame and the partly decoded current frame for prediction. Following the predictive coding paradigm, local temporal and local spatial dependencies between vertex locations are exploited. In this framework we present a novel angle preserving predictor and evaluate its performance against other state of the art predictors. It is shown that the proposed algorithm improves up to 25% upon the current state of the art for compression of temporally consistent dynamic 3D meshes.
Searching for Aid Threshold Effects

Is aid subject to diminishing returns? This paper addresses this issue, thereby contributing to the literature on effective allocation of aid. We test the hypothesis of diminishing returns to aid. Using an appropriate econometric technique for detecting thresholds, we find that aid only becomes effective (in contributing to growth) beyond a critical level (two per cent of GNP), and we find no evidence of diminishing returns to aid. Indeed, aid appears to be most effective when the level is high in countries with relatively low levels of human capital, suggesting that aid is more effective in countries at lower levels of development.
Loan Loss Provisioning Practices of Asian Banks

In the wake of the Asian financial crisis, many regimes in Asia adopted stricter provisioning requirements, as well as discretionary measures, with the objective of increasing provisioning in good times in response to rising levels of risk. Based on a final sample of 240 banks in 12 Asian economies, the evidence is that countercyclical loan loss provisioning has dominated throughout emerging Asia, most strikingly so in the case of India. Thus, loan loss provisioning did not simply become more conservative at all points in time subsequent to the Asian financial crisis, but actively leaned in a fashion that ameliorated swings in earnings and the macroeconomy.
A Test of Collective Rationality Within Bigamous Households in Burkina Faso Anyck Dauphin ¤

This paper provides different tests to ascertain eff iciency of consumption decisions in households with many decision-makers. It also presents a method of determining the number of these decision-makers. The tests are used to investigate collective rationality within bigamous households living in rural Burkina Faso. The data are consistent with collective rationality. Furthermore, we f ind that the three adults take part in the internal decision process.
An Aspect Language for Robust Programming

Robust programs should satisfy two basic conditions. First, compute well-defined output values from well-defined sets of input values, henceforth called the program’s standard domain. Second, input values from the complement of the standard domain, henceforth called the program’s exceptional domain, should result in well-defined error situations. Most real programs, however, are not robust. While the first condition is the subject of almost all programming methodologies and most programming efforts, the second is violated in most non-trivial programs which often yield incorrect results once an erroneous situation has appeared. Worse, the incorrect results are frequently not recognized as such, for instance, because they approximate correct values quite well or they are immediately used in subsequent computations. In this position paper, we advocate the use of an aspect language for robust programming. AOP is particularly appealing for this task because robustness crosscuts traditional structuring means. Consider, for instance, the problem of ensuring that a global index remains in a given range. The code needed to check such an invariant is typically scattered all over the program. The paper is structured as follows: Section 2 presents an example-driven introduction of the proposed aspect language for program robustness; Section 3 discusses its semantics and implementation; Section 4 suggests extensions and concludes.
On the reliability of benefit transfer: case of the Japanese e-health system

This paper applies CVM (contingent valuation method) in their assessment of tele-health systems in a number of regions in Japan. CVM has recently been widely adopted in the fields of environmental economics and health economics to measure the benefits of services which are not traded on the market. Although CVM is now commonly used, it requires more resources such as funds, time, and effort when undertaking surveys in comparison with the traditional travel cost or substitution method. In order to save these costs related to CVM, a new method referred to as "benefit transfer" has now drawn attention, which makes use of existing results of regional surveys in a specific area when conducting surveys of other regions. Methods attempted so far such as "unit-day-value", or "mata-analysis," are quite simple and not widely applicable to other fields or regions. This paper, therefore, proposes a method which is more general for a benefit transfer analysis by utilizing the benefit function transfer. In so doing, we focus on the economic assessments of the telehealth system which were carried out by the authors as an example.
Digitizing crime : How the use of predictive policing influences police work practices

This paper reports on an ongoing ethnographic study on knowledge production through the use of analytics in police work. Based on an analysis of work practices of so-called “intelligence officers” and police action, we show that there is an important role for intermediaries – those who are in-between designers and users – who make analytics actionable. We find that the work of intermediaries includes three contextualizing practices: (1) validating, (2) filtering, and (3) supplementing. These practices are deemed necessary by both intelligence and police officers, as they give a richer and more concrete explanation to algorithmic outputs and create actionable knowledge. At the same time, these practices shape what knowledge is considered useful and which contextual factors will be taken into account.