Miracle-dz/UniFAR-FTUs huggingface dataset:
O PROCESSO DE INTERNACIONALIZAÇÃO DE UMA EMPRESA DE SOFTWARE PARA MODA:DA INCUBADORA AO INVESTIMENTO DIRETO NO EXTERIOR

Este trabalho tem como objetivo analisar o processo de internacionalização entre os anos de 1996 e 2010 de uma empresa catarinense de desenvolvimento de softwares de moda. Os fundamentos teóricos do artigo compreendem as teorias de internacionalização com especial atenção à escola nórdica de negócios internacionais, a abordagem das networks, além de pesquisas específicas sobre as empresas de software, born globals e empreendedorismo internacional. A pesquisa realizada utilizou a técnica do estudo de caso, qualitativo, exploratório e descritivo. Os dados foram coletados a partir de fontes primárias, tais como entrevistas semi-estruturas e questionário, e fontes secundárias. Os dados oriundos das entrevistas e dos documentos foram repetidamente revistos, codificados e analisados quanto ao seu conteúdo e significados, visando identificar as categorias em apreciação. Dentre os fatores observados que fogem às abordagens teóricas, são citados os saltos das etapas descritas por estas e a não preferência exclusiva por países de menor distância psíquica. Foi relevante também a orientação internacional dos empreendedores, cujas redes de relacionamento englobavam agentes internacionais que por vezes influenciaram o processo, corroborando a abordagem das networks.
Micro-architecture Pipelining Optimization with Throughput-Aware Floorplanning

For modern processor designs in nanometer technologies, both block and interconnect pipelining are needed to achieve multi-gigahertz clock frequency, but previous approaches consider block pipelining and interconnect pipelining separately. For example, all recent works on wire pipelining assume pre-pipelined components and consider only inserting pipeline stages on point-to-point wire or bus connections. To the best of our knowledge, this paper is the first that considers block pipelining and interconnect pipelining simultaneously. We optimize multiple critical paths or loops in the micro-architecture and insert the pipelines stages optimally in the blocks and wires of these loops to meet the clock frequency requirement. We propose two approaches to this problem. The first approach is based on mixed integer linear programming (MILP) which is theoretically guaranteed to produce the optimal solution, and the second one is an efficient graph-based algorithm that produces near-optimal solutions. Experimental results show that simultaneous block and interconnect pipelining leads to more than 20% improvement over wire-pipelining alone on the overall processor performance. Moreover, the graph-based approach gives solutions very close to the MILP results ( 2% more than MILP results on average) but in a much shorter runtime.
Political Data Handbook: OECD Countries

The purpose of this book is to provide a detailed statistical guide to the government and politics of the 24 OECD countries, together with social and economic background information. The aim is to present material of a factual nature in a form which meets the needs of professional politicians, administrators, journalists, teachers, political scientists and the interested citizen. The resulting compilation may be used for casual reference or for more systematic comparisons of 24 of the more advanced political systems of the Western world.
MASSA: Mobile Agents Security through Static/Dynamic Analysis

Existing MASs suffer from security problems that must be solved, if mobile code is to be used in the development of mission-critical, real-world applications. In this paper we propose a framework that provides automated support for verification and analysis of MASs and allows for identifying security issues before the MASs are placed into action. The proposed approach is centered around an abstract reference model and combines static and dynamic security analysis techniques explicitly tailored to mobile agent systems. Our preliminary work shows that, in the cases we studied, appropriate analysis techniques facilitate the identification of security vulnerabilities in MASs.
Workspace analysis for planning human-robot interaction tasks

We present an approach for determining suitable locations for human-robot interaction tasks. Therefore, we introduce the task specific Interaction Workspace as a representation of the workspace that can be accessed by both agents, i.e. the robot and the human. We show how the Interaction Workspace can be efficiently determined for a specific situation by making use of precomputed workspace representations of robot and human. By considering several quality measures related to dexterity and comfort, the Interaction Workspace provides valuable information about potential targets for human robot interaction (e.g. for object handover tasks). We evaluate the online performance of building appropriate data structures and show how the approach can be applied in a realistic hand-over use case with the humanoid robot ARMAR-III.
An Adaptive Sampling Algorithm for Solving Markov Decision Processes

Based on recent results for multiarmed bandit problems, we propose an adaptive sampling algorithm that approximates the optimal value of a finite-horizon Markov decision process (MDP) with finite state and action spaces. The algorithm adaptively chooses which action to sample as the sampling process proceeds and generates an asymptotically unbiased estimator, whose bias is bounded by a quantity that converges to zero at rate (lnN)/ N, whereN is the total number of samples that are used per state sampled in each stage. The worst-case running-time complexity of the algorithm isO(( |A|N) H ), independent of the size of the state space, where | A| is the size of the action space andH is the horizon length. The algorithm can be used to create an approximate receding horizon control to solve infinite-horizon MDPs. To illustrate the algorithm, computational results are reported on simple examples from inventory control.
A Note on Testing MonotonicityOded Goldreich

We show that under a certain conjecture regarding the boolean lattice, there exists an eecient algorithm for testing whether a function is monotone or-far from monotone. Note: The said combinatorial conjecture has been recently proven in collaboration with Eric Lehman. We plan to write a joint paper presenting these results.
Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning

Thank you very much for reading commitment in dialogue basic concepts of interpersonal reasoning. As you may know, people have look hundreds times for their favorite readings like this commitment in dialogue basic concepts of interpersonal reasoning, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful virus inside their laptop.
Generalized Artin and Brauer induction for compact Lie groups

Let G be a compact Lie group. We present two induction theorems for certain generalized G-equivariant cohomology theories. The theory applies to G-equivariant K-theory K G , and to the Borel cohomology associated with any complex oriented cohomology theory. The coefficient ring of K G is the representation ring R(G) of G. When G is a finite group the induction theorems for K G coincide with the classical Artin and Brauer induction theorems for R(G).
Interleukin 12 Induces T-Cell Recruitment Into the Atherosclerotic Plaque

CD4 T cells, through the release of cytokines as well as direct effector functions, have been implicated in promoting inflammation of the atherosclerotic plaque. Plaque-infiltrating CD4 T cells include a specialized subset of CD4+CD28− T cells that express a unique profile of regulatory receptors and are responsive to novel microenvironmental cues. Here we report that CD4+CD28− T cells, either isolated from the plaque tissue or from the blood of patients with acute coronary syndrome (ACS), spontaneously express interleukin (IL)-12 receptors, even in the absence of antigenic stimulation. CD4+CD28− IL-12R+ cells responded to IL-12 stimulation with the upregulation of the chemokine receptor CCR5 and the C-type lectin receptor CD161, both implicated in regulating tissue homing of effector T cells. IL-12 treatment of CD4+CD28− T cells enhanced their chemotaxis and transendothelial migration toward the chemokine CCL5. In vivo relevance for the role of IL-12 in regulating the recruitment of CD4+CD28− T cells into the atheroma was examined in human atheroma-SCID mouse chimeras. Exposure of nonstimulated CD4+CD28− T cells to IL-12 was sufficient to amplify T-cell accumulation within the inflamed plaque, and coadministration of anti-CCR5 antibodies blocked T-cell recruitment into the plaque. Thus, CD4+CD28− T cells functionally resemble NK cells, which have proinflammatory activity even in the unprimed state and respond to any IL-12–inducing host infection with a shift in tissue trafficking and accrual in inflammatory lesions.
Characterization of NIP2/centrobin, a novel substrate of Nek2, and its potential role in microtubule stabilization

Nek2 is a mitotic kinase whose activity varies during the cell cycle. It is well known that Nek2 is involved in centrosome splitting, and a number of studies have indicated that Nek2 is crucial for maintaining the integrity of centrosomal structure and microtubule nucleation activity. In the present study, we report that NIP2, previously identified as centrobin, is a novel substrate of Nek2. NIP2 was daughter-centriole-specific, but was also found in association with a stable microtubule network of cytoplasm. Ectopic NIP2 formed aggregates but was dissolved by Nek2 into small pieces and eventually associated with microtubules. Knockdown of NIP2 showed significant reduction of microtubule organizing activity, cell shrinkage, defects in spindle assembly and abnormal nuclear morphology. Based on our results, we propose that NIP2 has a role in stabilizing the microtubule structure. Phosphorylation may be crucial for mobilization of the protein to a new microtubule and stabilizing it.
Bridging short and mid-term demand forecasting in the semiconductor industry

Demand planning in the semiconductor industry is typically divided into different planning horizons, midterm and short-term. Accurate demand forecasting is crucial because of long capacity installation times, long lead-times, short product life cycles, and constantly new technological advances. As demand forecasting for short and mid-term horizons are often made on different product and time granularities using different planning tools, we may see demand fluctuations (on the same granularity) within individual horizons and at the intersections of different granularities. This paper discusses stability of demand forecasts depending on time and product granularity and introduces definitions of good and bad stability, using Symmetric Mean Absolute Percentage Error (SMAPE) as a measure for stability. We show that time and product granularities have a significant effect on the intra-horizon stability of a demand plan and that planning on different granularities can lead to artificial demand fluctuations at the intersections of planning horizons.
Biodegradation of monoaromatic hydrocarbons by aquifer microorganisms using oxygen, nitrate, or nitrous oxide as the terminal electron acceptor

Microcosms were prepared from aquifer material, spiked with monoaromatic hydrocarbons, and amended with oxygen, nitrate, and nitrous oxide. Benzene and alkylbenzenes were degraded to concentrations below 5 micrograms/liter within 7 days under aerobic conditions, whereas only the alkylbenzenes were degraded when either nitrate or nitrous oxide was used. With limited oxygen, monoaromatic hydrocarbons were degraded but removal ceased once oxygen was consumed. However, when nitrate was also present, biodegradation of the alkylbenzenes continued with no apparent lag. Although benzene was still recalcitrant, levels were reduced compared with levels after treatment with nitrate or limited oxygen alone.
Recent antihyperglycemic prescribing trends for US privately insured patients with type 2 diabetes.

OBJECTIVE The mid-1990s witnessed the introduction of new classes of medications to treat hyperglycemia of type 2 diabetes. There is evidence that these newer classes have found a place in the therapeutic armamentarium, but details of their use patterns are not known. We sought to determine whether antihyperglycemic prescribing patterns changed concurrently with new drug introductions, and whether such changes were related to changes in the underlying patient population. RESEARCH DESIGN AND METHODS A sample of U.S. privately insured patients with suspected type 2 diabetes was identified from the MarketScan Research Database over the period of 1997-2000. Patients with type 2 diabetes were identified among those continuously enrolled in the database for at least 1 year. Drug therapy episodes were defined by sequential fulfillment of prescriptions implying a continuous supply of a particular drug (or combination) of at least 30 days duration. Univariate analyses were used to explore trends over time in drug prescriptions and patient characteristics. Multivariate logistic regressions were used to isolate the impact of year from other variables on the likelihood of receiving prescriptions for a specific therapy. RESULTS A total of 232,020 unique diabetic patients had an average of 1.91 diabetes drug therapy episodes between 1997 and 2000. Monotherapy with sulfonylureas decreased, but monotherapy with thiazolidinedione, metformin, and other oral antihyperglycemics increased over time. Combinations of sulfonylureas and metformin; sulfonylureas and thiazolidinedione; metformin and thiazolidinedione; and sulfonylureas, metformin, and thiazolidinedione each increased over the time interval. Insulin monotherapy decreased, as did insulin combination therapy with sulfonylureas. The combination of insulin and metformin increased, whereas insulin and thiazolidinedione was stable. The influence of year on prescribing patterns remained highly significant (P < 0.001) after adjusting for patient characteristics. CONCLUSIONS Antihyperglycemic prescription patterns in the U.S. have changed in recent years in parallel with, and probably as a direct result of, the introduction of different classes of medications to the marketplace. Overall, the prescribing trend has been away from monotherapy with insulins and sulfonylureas and toward combination therapies, presumably in attempts to reduce hypoglycemic symptoms and to achieve better glucose control.
Tetanus: Pathophysiology, Treatment, and the Possibility of Using Botulinum Toxin against Tetanus-Induced Rigidity and Spasms

Tetanus toxin, the product of Clostridium tetani, is the cause of tetanus symptoms. Tetanus toxin is taken up into terminals of lower motor neurons and transported axonally to the spinal cord and/or brainstem. Here the toxin moves trans-synaptically into inhibitory nerve terminals, where vesicular release of inhibitory neurotransmitters becomes blocked, leading to disinhibition of lower motor neurons. Muscle rigidity and spasms ensue, often manifesting as trismus/lockjaw, dysphagia, opistotonus, or rigidity and spasms of respiratory, laryngeal, and abdominal muscles, which may cause respiratory failure. Botulinum toxin, in contrast, largely remains in lower motor neuron terminals, inhibiting acetylcholine release and muscle activity. Therefore, botulinum toxin may reduce tetanus symptoms. Trismus may be treated with botulinum toxin injections into the masseter and temporalis muscles. This should probably be done early in the course of tetanus to reduce the risk of pulmonary aspiration, involuntary tongue biting, anorexia and dental caries. Other muscle groups are also amenable to botulinum toxin treatment. Six tetanus patients have been successfully treated with botulinum toxin A. This review discusses the use of botulinum toxin for tetanus in the context of the pathophysiology, symptomatology, and medical treatment of Clostridium tetani infection.
Fast Gated Neural Domain Adaptation: Language Model as a Case Study

Neural network training has been shown to be advantageous in many natural language processing applications, such as language modelling or machine translation. In this paper, we describe in detail a novel domain adaptation mechanism in neural network training. Instead of learning and adapting the neural network on millions of training sentences – which can be very time-consuming or even infeasible in some cases – we design a domain adaptation gating mechanism which can be used in recurrent neural networks and quickly learn the out-of-domain knowledge directly from the word vector representations with little speed overhead. In our experiments, we use the recurrent neural network language model (LM) as a case study. We show that the neural LM perplexity can be reduced by 7.395 and 12.011 using the proposed domain adaptation mechanism on the Penn Treebank and News data, respectively. Furthermore, we show that using the domain-adapted neural LM to re-rank the statistical machine translation n-best list on the French-to-English language pair can significantly improve translation quality.
Open Soucre Graph Transducer Interpreter and Grammar Development Environment

Graph and tree transducers have been applied in many NLP areas―among them, machine translation, summarization, parsing, and text generation. In particular, the successful use of tree rewriting transducers for the introduction of syntactic structures in statistical machine translation contributed to their popularity. However, the potential of such transducers is limited because they do not handle graphs and because they consume the source structure in that they rewrite it instead of leaving it intact for intermediate consultations. In this paper, we describe an open source tree and graph transducer interpreter, which combines the advantages of graph transducers and two-tape Finite State Transducers and surpasses the limitations of state-of-the-art tree rewriting transducers. Along with the transducer, we present a graph grammar development environment that supports the compilation and maintenance of graph transducer grammatical and lexical resources. Such an environment is indispensable for any effort to create consistent large coverage NLP-resources by human experts.
Lone working, self-efficacy and burnout : the potential moderating effects of reflecting team working in counselling settings

Aims: To explore and understand the relationship between counselling self-efficacy, burnout, team climate, and the potential moderating effects of reflecting team working. The rise of lone working in the counselling profession has led to fewer opportunities for contacts with colleagues. Team working although widely researched in organisational psychology has not been extensively researched in the counselling workforce (Allen & Hecht 2004, Cordery 2003, Hackman 1987). Recent research has challenged the view that burnout can be classified as a single phenomenon (Ferber1990). Ferber using Banduras self efficacy theory as its basis (Bandura 1997, 2001), proposes three clinical presentations of burnout: Frenetic, Under Challenged and Worn-Out that lead to an increasing disengagement from work. This research points to new directions in studying burnout by assessing absorption, engagement and participation in work, and in studying workplace environments that promote this. This study investigates the experience of counsellors, psychotherapists and counselling psychologists differentiated by their working environment in a qualitative and quantitative study. Method: participants (N= 74) completed a survey package with three questionnaires (BCS36, CASES and TCI) and a demographic form. From the pool of the sample 15 semi structured interviews were conducted with 5 participants drawn from each working context. Data was analyzed using a mixed methods qualitative and quantitative design with converging data streams. Results: Team participation, acknowledgment and climate for innovation are predictors of burnout in the counselling population. The moderating role of working context is shown to have a significant effect on self efficacy. The analysis suggests that working alone leads to a significant relationship between team climate and self-efficacy. Acknowledgments. I want to thank the psychology faculty in Dublin Business School for their enthusiasm, time and energy in supporting the development and execution of this study. My thanks to my classmates, the gift of having a class group that has been inspirational, supportive and nurturing of each other has been priceless. My thanks to my work colleagues in the HSE Alcohol and Addiction services and my participants who took the time to fill in surveys and return them. To those participants who gave me their time for interviews my heartfelt thanks and gratitude. Finally to my family having a daughter, wife, mother, sister, auntie who has had her head in a book for the last two years has not been an easy journey my thanks for your support and patience.
The role of somatostatin and its analogs in the diagnosis and treatment of tumors.

I. Introduction LONG-term therapy with somatostatin analogs has been reported to result in the control of hormonal hypersecretion, in improvement of symptomatology, and in tumor shrinkage in patients with acromegaly, endocrine pancreatic tumors, and metastatic carcinoids. One of these somatostatin analogs, octreotide, has been approved for clinical use in most countries, including the United States. It is a well-tolerated, but expensive drug. Experimental studies show that chronic administration of somatostatin analogs causes growth inhibition of a number of (transplantable) tumors in animals, including chondrosarcomas, pancreatic, prostatic, breast, and pituitary cancers. Somatostatin receptors have been demonstrated on a variety of human tumors by classical biochemical binding techniques, as well as by in vitro autoradiography. These tumors include those with amine precursor uptake and decarboxylation (APUD) characteristics (pituitary tumors, endocrine pancreatic tumors, carcinoids, paragangliomas, smal.
Parallel full-chip transient simulation at transistor level

In this paper, we introduce an efficient parallel transistor level circuit simulation tool with SPICE-accuracy for full-chip circuit simulation. The new approach partitions the circuit based on circuit non-linearity and connectivity. Parallel domain decomposition technique is used to iteratively solve the different partitions of the circuit and ensure convergence. Orders of magnitude speedup over SPICE is observed for sets of large-scale design circuits.