Miracle-dz/UniFAR-FTUs huggingface dataset:
International Diversity Management Approaches for Marketing to Create Innovation

This chapter provides an overview of several approaches to International Diversity Management (IDM) for marketing departments striving for innovation. Approaches to IDM are explained and distinguished in two groups: four process and three structure approaches. Process approaches are IDM approaches that explain how diversity is considered in a model or perspective. Structure approaches are IDM approaches on how to act in an organization to deal with diversity. The four discussed process approaches to IDM are the following: the relational framework (Syed & Özbilgin, 2009), the diversity typology (Harrison & Klein, 2007), the Categorization-Elaboration Model (CEM) (Van knippenberg, De dreu, & Homans, 2004), and the social categorization versus the information-decision-making perspective (Williams & O'Reilly, 1998). The following three structure approaches to IDM are discussed: a conceptual IDM framework, the perspective approach, and the multicultural approach. Then, two sections are dedicated to the suitability and relevance of the approaches to marketing. Finally, a retrospective view is given to the link between marketing, IDM, and innovation. The approaches, guidelines, and factors mentioned in this chapter provide insight into how IDM can be implemented to achieve innovation in the marketing field.
CIRGDISCO at RepLab2012 Filtering Task: A Two-Pass Approach for Company Name Disambiguation in Tweets

Using Twitter as an effective marketing tool has become a gold mine for companies interested in their online reputation. A quite sig- nificant research challenge related to the above issue is to disambiguate tweets with respect to company names. In fact, finding if a particu- lar tweet is relevant or irrelevant to a company is an important task not satisfactorily solved yet; to address this issue in this paper we pro- pose a Wikipedia-based two-pass algorithm. The experimental evalua- tions demonstrate the effectiveness of the proposed approach.
Harmonic analysis of fault current limiters

With increasing population and power consumption, new power generation units should connect to the network, that they'll lead to increase level of network short circuit. Considering the increasing level of short circuit, new circuit breakers should be replaced by higher capacity. But this solution imposes exorbitant costs to the power system operator and practically it is not economical. Another way to deal with increasing level of network short circuit is limiting the fault current. Fault Current Limiter (FCL) is a very effective option for solving this problem, but before installing it in the power system its harmonic effects should be investigated and if necessary, the solutions to reduce harmonic should be studied. This paper studies the harmonic effects of a new generation of solid-state fault current limiters that can also interrupt the fault current. Then the proposed structure is being compared in terms of harmonic effects with the Superconducting Fault Current Limiter structure (SFCL). It is shown based on IEEE519 standard, that Fault Current Limiting and Interrupting Device (FCLID) structure has less harmonic effects than SFCL structure and doesn't require filtering.
Survival of Nigeria's Exports in Her Biggest Markets: Continuous and Discrete Time Estimations

Trade duration and its determinants have been largely overlooked in both theoretical and empirical literature, especially in the developing countries. It is in view of this, that this paper examined extent and drivers of export survival of Nigeria's products in her biggest markets (United State, Germany, France, China, and Japan). While the non-parametric Kaplan-Meier estimator was used to examine the extent of Nigeria's export survival in her major destinations, the Cox proportional hazards model and Prentice-Gloeckler were compared in estimating the determinants of survival. Results show that the survival rate of Nigeria's export has been low. 49.4% of Nigeria's export survives for more than one year, 37.8% survives for up to 10 years, and only 4.5% survives a 42 years period. As regards the determinants of export survival, language, initial export value, and exchange rate are the factors that promote the survival of Nigeria's export, while distance, GDP per capita, colonial ties, total export, competition, and tariff discourages it.
Study on the Vision Reading Algorithm based on Template Matching and Neural Network

An improved solution to the vision reading of the traditional UTM (universal tools microscope) is introduced. Based on the comprehensive analysis of the current working algorithms, a compound vision reading model is proposed after adopting several pre-processing algorithms. This model is established with the template matching method and BP neural network technology. In order to improve fault-tolerance capacity of the network, rotation invariant features based on Tchebichef moments are extracted from numeric characters and a 4-dimensional group of the outline features is also obtained. The experimental result shows in applying the newly developed algorithm, the measurement accuracy of the automatic vision reading can achieve plusmn3 mum, while it may reach or surpass ocular reading precision if the mm reticle is overlapped with the drum wheel.
Myocyte Isolation and Culture

Resources. All euthanasia was performed following the recommendations of UCUCA and DLAR-CHUA. All mother rats were either donated to the university " rat recycling program " for use by other investigators, or euthanized by placing the rat in a carbon dioxide filled chamber, followed by removal of a vital organ (e.g., heart). The neonatal rats were euthanized by quick decapitation. Neonatal rat ventricular myocyte (NRVM) monolayers were created as previously described (Hou et al., 2010), 23 litters were used in these experiments. Ventricles from 1-2 day old neonatal Sprague-Dawley rats (Charles River, Wilmington, MA) were aseptically removed then minced in calcium-and magnesium-free Hanks' Balanced Salt Solution (HBSS). Sequential digestion in 0.06% trypsin (Roche Applied Science) and 0.15% pancreatin (Sigma) in HBSS at 36°C was used to further isolate cells. A two hour differential preplating period was used to reduce the presence of non-cardiomyocytes. Medium M199 (Cambrex) containing 10% fetal bovine serum (FBS) (Cellgro), 20 U/mL penicillin, 20 µg/mL streptomycin and 100 µmol/L bromodeoxyuridine to inhibit fibroblast proliferation (Sigma) was used to suspend and plate cells. Cells were plated on human collagen type IV (Sigma) coated 35 mm tissue culture dishes at a density of 1x10 6 cells per monolayer. Cells were kept at 37ºC, 5% CO 2. Media was changed after 24 and 48 hours using the same 5% FBS media. Magnetofection was performed on day 2 in culture. Experiments were conducted at an additional 48 hours, allowing for protein expression.
Non-uniform unit selection using fuzzy ARTMAP for memory based Malayalam TTS

Text to speech synthesis system intended for any language, converts the given text in that language to corresponding speech. The major challenge in TTS system is to generate artificial speech which appears to be natural and intelligible. This is essential for visually impaired people to properly understand and comprehend the generated speech. Naturalness can be improved if we mimic the way, human brain generates speech. The memory based model utilizing memory prediction framework is an attempt in this direction. The model learns similar to the way humans learn using Fuzzy ARTMAP. The model employs non-uniform unit selection technique to select appropriate units for synthesizing speech. In this paper, we propose a memory based Malayalam TTS, which uses non-uniform unit selection technique for concatenative speech synthesis.
The Role of Interleukin-1, Interleukin-6, and Glia in Inducing Growth of Neuronal Terminal Arbors in Mice

After injury to the substantia nigra pars compacta (SNpc), remaining neurons sprout to ensure normal dopamine delivery to the striatum. The consequent striatal reinnervation is highly regulated, with remaining cells sprouting so that density of dopamine terminals returns to normal. Sprouting as a result of injury is accompanied by a strong glial response; however, it is difficult to know whether this response is as a result of the injury or whether it is aiding in the sprouting. The two cytokines interleukin-1 (IL-1) and interleukin-6 (IL-6) are important modulators of the glia response. This study demonstrates their role in regulating the sprouting of dopaminergic neurons and the associated glia response as a means to examine the role of glia in sprouting. Sprouting was induced by 6-hydroxydopamine lesions of the SNpc and by haloperidol treatment (in the absence of injury). In wild-type animals, sprouting in association with microglial and astrocyte proliferation followed partial lesions of the SNpc and haloperidol treatment. Neither treatment evoked sprouting or glia proliferation in the type I IL-1 receptor-deficient mice, whereas in IL-6-deficient mice, both treatments resulted in glial proliferation but not sprouting. We conclude that IL-1 plays a role in modulating glia proliferation and thereby guidance and trophic factors for new fibers, whereas IL-6 may be important in triggering the outgrowth of new fibers. This study demonstrates that these cytokines play an important role in plasticity and regeneration that is separate from the inflammatory response associated with brain injury.
Evaluating evidence for atrophic scarring treatment modalities

Summary Introduction Atrophic scars cause significant patient morbidity. Whilst there is evidence to guide treatment, there does not appear to be a systematic review to analyse the efficacy of treatment options. Objectives To retrieve all evidence relating to atrophic scar treatment and evaluate using the Clinical Evidence GRADE score in order to allow clinicians to make evidence-based treatment choices. Method Searches were performed in Medline, EMBASE, CINHL and Cochrane to identify all English studies published evaluating treatment of atrophic scars on adults excluding journal letters. Each study was allocated a GRADE score based on type of study, quality, dose response, consistency of results and significance of results. The end score allowed categorisation of evidence into high, moderate, low or very low quality. Results A total of 41 studies were retrieved from searches including randomised controlled trials, observational studies, retrospective analyses and case reports of which 7% were allocated a high-quality score, 10% a moderate score, 7% a low score and 75% a very low score. Treatment modalities included ablative laser therapy, non-ablative laser therapy, autologous fat transfer, dermabrasion, chemical peels, injectables, subcision, tretinoin iontophoresis and combination therapy. Conclusion There is a paucity of good-quality clinical evidence evaluating treatment modalities for atrophic scarring. Evidence supports efficacy of laser, surgery and peel therapy. Further biomolecular research is required to identify targeted treatment options and more randomised controlled trials would make the evidence base for atrophic scar treatment more robust.
Signaling overhead and feedback delay reduction in heterogeneous multicell cooperative networks

Heterogeneous networks (HetNets) and multicell cooperation are two key technologies in cellular networks that can improve network performance. The channel information of all the collaborating Base Stations (BSs) is one of the core factors to achieve better throughput performance gain in the coordinated multipoint (CoMP) communication. Here, we propose a novel method for handling Channel State Information (CSI) feedback in HetNet CoMP, named DCEC-HetNet: Direct CSI-feedback to Elected Coordination-station for Heterogeneous Networks. The DCEC-HetNet architecture aims to reduce the signaling overhead and feedback latency, and subsequently increase the throughput of the network. We use the Discrete Event System Specification (DEVS) formalism to model the cellular network. The simulation results demonstrate that the DCEC-HetNet architecture significantly decreases the number of CSI feedback packets being transmitted within the network, and reduces the feedback latency resulting in higher cell throughput.
Object kinematic model: A novel approach of adaptive background mixture models for video segmentation

In the field of video surveillance, adaptive Gaussian mixture model (GMM) is widely used as the background-pixel dynamic modeling approach. GMM produced each pixel Gaussian distribution corresponds to the respective, but this ignores the impact of the movement of the object itself. The ideas of object kinematic model is presented to guide the number of distribution in the process of iterative, which can speed up the process of clustering, and the results indicate that this method can improve the efficiency and stability of background modeling.
The cyclic AMP signaling pathway: Exploring targets for successful drug discovery (Review)

During development of disease, complex intracellular signaling pathways regulate an intricate series of events, including resistance to external toxins, the secretion of cytokines and the production of pathological phenomena. Adenosine 3′,5′-cyclic monophosphate (cAMP) is a nucleotide that acts as a key second messenger in numerous signal transduction pathways. cAMP regulates various cellular functions, including cell growth and differentiation, gene transcription and protein expression. This review aimed to provide an understanding of the effects of the cAMP signaling pathway and the associated factors on disease occurrence and development by examining the information from a new perspective. These novel insights aimed to promote the development of novel therapeutic approaches and aid in the development of new drugs.
Media, Democracy, and Government Action: Prevention vs. Palliation in the Time of Cholera

This paper studies how media and democracy influence government action taken before and after a natural disaster. The key elements in this relationship are the media's role as the provider of information to voters about government actions and the quality of democracy that pertains to how relevant election results are. We show that more media activity and more democratic institutions both contribute positively to the government's palliative effort after the disaster. However, the effects of media and democracy on the government's preventive effort before the disaster are negative. We provide empirical evidence based on major cholera epidemics around the world, which lends some support to these hypotheses.
Live face detection based on the analysis of Fourier spectra

Biometrics is a rapidly developing technology that is to identify a person based on his or her physiological or behavioral characteristics. To ensure the correction of authentication, the biometric system must be able to detect and reject the use of a copy of a biometric instead of the live biometric. This function is usually termed "liveness detection". This paper describes a new method for live face detection. Using structure and movement information of live face, an effective live face detection algorithm is presented. Compared to existing approaches, which concentrate on the measurement of 3D depth information, this method is based on the analysis of Fourier spectra of a single face image or face image sequences. Experimental results show that the proposed method has an encouraging performance.
An approach to automatic object tracking system by combination of SIFT and RANSAC with mean shift and KLT

Object recognition and tracking are important and challenging tasks in many computer vision applications. Difficulties in object recognition arise due to occlusion, clutter and geometric transformations present between pair of images or frames. Challenges in tracking include ability to deal with abrupt object motion, nonrigid object structures, change in appearance patterns of scene and object, occlusions present and camera motion. To deal with these challenges, we have explored the effectiveness of SIFT for feature extraction and RANSAC for homography estimation in object recognition. This makes system invariant to geometric transformations, illumination variations, partial occlusions and clutter. This automatic object recognition approach is used to automatically detect the object in first frame of video and then it is tracked in subsequent frames. Object tracking is implemented by Mean Shift Algorithm and KLT tracker. These algorithms have ability to handle partial occlusion and clutter. Combination of Mean shift and KLT with SIFT and RANSAC makes the system automatic.
Unemployment in an Estimated New Keynesian Model

We reformulate the Smets-Wouters (2007) framework by embedding the theory of unemployment proposed in Gali (2011a,b). We estimate the resulting model using postwar U.S. data, while treating the unemployment rate as an additional observable variable. Our approach overcomes the lack of identification of wage markup and labor supply shocks highlighted by Chari, Kehoe and McGrattan (2008) in their criticism of New Keynesian models, and allows us to estimate a "correct" measure of the output gap. In addition, the estimated model can be used to analyze the sources of unemployment fluctuations.
Brain serotonin1A receptor binding measured by positron emission tomography with [11C]WAY-100635: effects of depression and antidepressant treatment.

BACKGROUND Pharmacological and postmortem investigations suggest that patients with major depressive disorder have alterations in function or density of brain serotonin1A (5-HT1A) receptors. The aim of the present study was to use positron emission tomography with the selective 5-HT1A receptor antagonist [11C]WAY-100635 to measure 5-HT1A receptor binding in depressed patients before and during treatment with selective serotonin reuptake inhibitors. METHODS Positron emission tomographic scans with [11C]WAY-100635 were performed on 25 patients with major depressive disorder. These included 15 unmedicated depressed patients. Ten of these unmedicated patients were scanned again during selective serotonin reuptake inhibitor treatment. A further 10 patients with major depressive disorder were scanned on one occasion only while taking selective serotonin reuptake inhibitors. Comparisons were made with [11C]WAY-100635 positron emission tomographic scans in 18 healthy volunteer subjects. Region of interest analysis and statistical parametric mapping were performed on binding potential images generated using a reference tissue model. RESULTS Binding potential values were reduced across many of the regions examined, including frontal, temporal, and limbic cortex in both unmedicated and medicated depressed patients compared with healthy volunteers. Binding potential values in medicated patients were similar to those in unmedicated patients. CONCLUSIONS Major depressive disorder is associated with a widespread reduction in 5-HT1A receptor binding. This reduced 5-HT1A receptor binding was not changed by selective serotonin reuptake inhibitor treatment.
GB-InSAR monitoring and observational method for landslide emergency management: the Montaguto earthflow (AV, Italy)

Abstract. On 10 March 2010, because of the heavy rainfall in the preceding days, the Montaguto landslide (Southern Italy) reactivated, affecting both state road 90 Delle Puglie and the Rome–Bari railway. A similar event occurred on May 2005 and on September 2009. As a result, the National Civil Protection Department (DPC) started an accurate monitoring and analysis program. A monitoring project using the GB-InSAR (ground-based interferometric synthetic aperture radar) system was emplaced to investigate the landslide kinematics, plan urgent safety measures for risk mitigation and design long-term stabilization work. Here, we present the GB-InSAR monitoring system results and its applications in the observational method (OM) approach. GB-InSAR is an established instrument for long-term campaigns aimed at early warning and monitoring during construction works. Our paper further develops these aspects in that it highlights how the OM based on the GB-InSAR technique can produce savings in terms of cost and time in engineering projects without compromising safety. This study focuses on the key role played by the monitoring activities during the design and planning activities, with special reference to the emergency phase.
CONALD: The Configurable Plan-Based Dialogue System

CONALD is a spoken language dialogue system system1 which enables the interaction between users and a technical system in dynamic environments. The primary goal of its design is to achieve quick configurability for various applications. It combines deep syntactic and semantic analysis, discourse processing, and language generation and features a complex semantics-pragmatics interface in the sense of (Brietzmann and Görz, 1982). Semantics is defined in terms of an extended version of DRT. Discourse and application pragmatics are considered independent; user utterances affect application pragmatics when their speech acts are executed. They can be specified in a script language interpreted by the dialogue manager. In dynamic environments, changes can be consequences of user requests as well as of external events in the application. The design of our system allows configuration for a wide range of applications (like household applications, the automotive environment, medical purposes, etc.). For demonstration purposes, we designed a complete environment that simulates logistic tasks. It is a multi-agent system (MAS) for controlling a model train installation and a robot that puts boxes with goods to a production line and fetches the final products again. In a control window trains, railtracks, and track switches are simulated (see Fig. 1). The user controls the scenario either with spoken input or via a keyboard interface. The user may give simple commands like “Set speed of train 2 to 11! ” or “Switch point 6! ”, but even highly complex commands like “Bring the
Using de Bruijn Sequences toIndex a 1 in a Computer

Some computers provide an instruction to nd the index of a 1 in a computer word, but many do not. This paper provides a fast and novel algorithm based on de Bruijn sequences to solve this problem. The algorithm involves little more than an integer multiply and a lookup in a small table. We compare the performance of our algorithm with other popular strategies that use table lookups or oating-point conversion.
The Eyes and Ears of Status

To those with high status, abundance is granted. Moving beyond the multitude of objective benefits, the authors explore how status, once conferred, colors the perceptual world people inhabit. In four experiments, participants’ status state influenced their judgments of status-relevant features in their environment. Participants in a state of high status reported hearing applause (Experiment 1) and seeing facial expressions (Experiment 2), in reaction to their performance, as louder and more favorable. In addition, expectations of how others will respond—expectations stemming from one’s current status state—accounted for this effect (Experiment 3). Finally, differences in judgments between participants experiencing high versus low status were observed only when the target of the evaluation was the self (Experiment 4). These results advance scholars’ understanding of the psychological experience of status and contribute to the growing literature on the dominant influence psychological states have on people’s judgments of their social world.