Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Consumer Animosity and Consumer Ethnocentrism on Intention to Purchase Foreign Products: The Case of Chinese Branded Household Appliances in Vietnam Market

Vietnam-China bilateral relationship has sharply declined due to the recent conflicts on both economic and political affairs. On top of that, the current controversial incident regarding the East Sea issue has constantly deteriorated the connection. At this critical time when the effects of consumers’ attitude toward Chinese products could not be overlooked, the empirical study aims to investigate the impacts of Consumer Animosity and Consumer Ethnocentrism on Purchase Intention of Chinese branded merchandise with the mediating role of Consumer Judgment. Household appliance category is chosen because of the dominance of Chinese brands in Vietnam market. In addition to the assessment of Animosity effect on Purchase Intention, the research is designated to examine its antecedences, including Perceived Economic Hardship and Normative Influences as well as their influences on Animosity. Structural Equation Modeling was utilized to test the theoretical framework, analyzing the data from a sample of 349 consumers with diverse backgrounds. The results have demonstrated that only Perceived economic hardship manifest a significant impacts on Animosity. Meanwhile, Animosity and Ethnocentrism have negative relationships with both Chinese branded household appliances Judgment and Purchase Intention. Overall, the study provides specific discussion and recommendations for the Vietnam household appliances industry and at the same time points into various directions for further researches.
Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs

In this paper, we design and evaluate a routine for the efficient generation of block-Jacobi preconditioners on graphics processing units (GPUs). Concretely, to exploit the architecture of the graphics accelerator, we develop a batched Gauss-Jordan elimination CUDA kernel for matrix inversion that embeds an implicit pivoting technique and handles the entire inversion process in the GPU registers. In addition, we integrate extraction and insertion CUDA kernels to rapidly set up the block-Jacobi preconditioner. Our experiments compare the performance of our implementation against a sequence of batched routines from the MAGMA library realizing the inversion via the LU factorization with partial pivoting. Furthermore, we evaluate the costs of different strategies for the block-Jacobi extraction and insertion steps, using a variety of sparse matrices from the SuiteSparse matrix collection. Finally, we assess the efficiency of the complete block-Jacobi preconditioner generation in the context of an iterative solver applied to a set of computational science problems, and quantify its benefits over a scalar Jacobi preconditioner.
A case study on effectively identifying technical debt

Context: The technical debt (TD) concept describes a tradeoff between short-term and long-term goals in software development. While it is highly useful as a metaphor, it has utility beyond the facilitation of discussion, to inspire a useful set of methods and tools that support the identification, measurement, monitoring, management, and payment of TD. Objective: This study focuses on the identification of TD. We evaluate human elicitation of TD and compare it to automated identification. Method: We asked a development team to identify TD items in artifacts from a software project on which they were working. We provided the participants with a TD template and a short questionnaire. In addition, we also collected the output of three tools to automatically identify TD and compared it to the results of human elicitation. Results: There is little overlap between the TD reported by different developers, so aggregation, rather than consensus, is an appropriate way to combine TD reported by multiple developers. The tools used are especially useful for identifying defect debt but cannot help in identifying many other types of debt, so involving humans in the identification process is necessary. Conclusion: We have conducted a case study that focuses on the practical identification of TD, one area that could be facilitated by tools and techniques. It contributes to the TD landscape, which depicts an understanding of relationships between different types of debt and how they are best discovered.
Partitioning applications for hybrid and federated clouds

On-demand access to computing resources as-a-service has the potential to allow enterprises to temporarily scale out of their private data center into the infrastructure of a public cloud provider during times of peak demand. However, concerns about privacy and security may limit the adoption of this technique. We describe an approach to partitioning a software application (particularly a client-facing web application) into components that can be run in the public cloud and components that should remain in the private data center. Static code analysis is used to automatically establish a partitioning based on low-effort input from the developer. Public and private versions of the application are created and deployed; at runtime, user navigation proceeds seamlessly with requests routed to the public or private data center as appropriate. We present implementations for both Java and PHP web applications, tested on sample applications.
On the connectivity of ad hoc networks: The role of the power level distribution

In this work we investigate the connectivity properties of ad hoc networks with stations (also called nodes) transmitting at either a constant or random power. It is assumed that the random power is uniformly distributed with a mean value equal to the constant power. Two nodes are bidirectionally connected if the signal to noise plus interference ratio (SINR) is larger than a given threshold. A numerical study is performed to evaluate the connectivity of the network in terms of node density and interference level. It is found that al low node densities connectivity increases when node transmitt at a constant power. In constrast, at high node densities the better connectivity is obtained when nodes transmitt at a random power.
How Sensitive Is the Elasticity of Hydroxyapatite-Nanoparticle-Reinforced Chitosan Composite to Changes in Particle Concentration and Crystallization Temperature?

Hydroxyapatite (HA) nanoparticle-reinforced chitosan composites are biocompatible and biodegradable structural materials that are used as biomaterials in tissue engineering. However, in order for these materials to function effectively as intended, e.g., to provide adequate structural support for repairing damaged tissues, it is necessary to analyse and optimise the material processing parameters that affect the relevant mechanical properties. Here we are concerned with the strength, stiffness and toughness of wet-spun HA-reinforced chitosan fibres. Unlike previous studies which have addressed each of these parameters as singly applied treatments, we have carried out an experiment designed using a two-factor analysis of variance to study the main effects of two key material processing parameters, namely HA concentration and crystallization temperature, and their interactions on the respective mechanical properties of the composite fibres. The analysis reveals that significant interaction occurs between the crystallization temperature and HA concentration. Starting at a low HA concentration level, the magnitude of the respective mechanical properties decreases significantly with increasing HA concentration until a critical HA concentration is reached, at around 0.20–0.30 (HA mass fraction), beyond which the magnitude of the mechanical properties increases significantly with HA concentration. The sensitivity of the mechanical properties to crystallization temperature is masked by the interaction between the two parameters—further analysis reveals that the dependence on crystallization temperature is significant in at least some levels of HA concentration. The magnitude of the mechanical properties of the chitosan composite fibre corresponding to 40 °C is higher than that at 100 °C at low HA concentration; the reverse applies at high HA concentration. In conclusion, the elasticity of the HA nanoparticle-reinforced chitosan composite fibre is sensitive to HA concentration and crystallization temperature, and there exists a critical concentration level whereby the magnitude of the mechanical property is a minimum.
Toward the Prognostic Signi fi cance and Therapeutic Potential of HER 3 Receptor Tyrosine Kinase in Human Colon Cancer

Purpose: Abnormal accumulation and dysregulation of the epidermal growth factor receptor family member HER3 is associated with the development of various human cancers including those of the breast, lung, and ovary. We have previously shown that in melanoma HER3 is frequently overexpressed and is associated with poor prognosis. However, the importance of HER3 in colon cancer and its putative prognostic significance is still unknown. Experimental Design: HER3 expression was analyzed in primary colon tumors from 110 patients by immunohistochemistry and correlated with time of progression. Parallel to this, the influence of HER3 overexpression on cell proliferation, migration, invasion, and apoptosis was investigated in four different colon cancer cell lines including DLD-1, LoVo, CaCO2, and T-84. Results: HER3 was detected at high frequency and exclusively at the membrane of the primary tumors. Elevated HER3 expression levels may serve as a putative prognostic marker because it associates with cell proliferation and decreased time to disease progression. High HER3 protein expression as well as phosphorylation levels were detected in tested cells. HER3 downregulation by RNA interference abrogated cell proliferation, migration, and invasion. In addition, suppression of HER3 resulted in a G2–M cell-cycle arrest, induced apoptosis, and led to morphologic changes in colon cancer cell lines. Furthermore, application of a monoclonal antibody specific to the extracellular portion of the receptor reduced heregulin-b1–induced migration and invasion and also induced apoptosis in colon cancer cell lines. Conclusion:Wepostulate that HER3 is critically involved in colon cancer progression andmay serve as a novel target for therapeutic intervention. Clin Cancer Res; 18(4); 956–68. 2011 AACR.
Stock Market Prediction Using Multi Expression Programming

The use of intelligent systems for stock market predictions has been widely established. In this paper, we introduce a genetic programming technique (called multi-expression programming) for the prediction of two stock indices. The performance is then compared with an artificial neural network trained using Levenberg-Marquardt algorithm, support vector machine, Takagi-Sugeno Neuro-Fuzzy model and difference boosting neural network. We considered Nasdaq-100 index of Nasdaq Stock MarketSM and the S&P CNX NIFTY stock index as test data
PSUN : A Profiling System for Usenet News ( Extended

Information overload has become a well-worn term. Anyone who has travelled the highways and byways of the Internet, who has received e-mail or browsed the Usenet News hierarchy is all too familiar with the term. In the following paper we outline the design of the PSUN model to filter Usenet News articles from the Internet. PSUN is an adaptive filtering model which draws on techniques from Information Retrieval, Cognitive Science, Connectionism and Artificial Life.
molecule Beyond the increasing complexity of the immunomodulatory HLA-G

http://bloodjournal.hematologylibrary. org/content/111/10/4862.full. html Updated information and services can be found at: (1844 articles) Transplantation  (58 articles) Reviews in Translational Hematology  (4939 articles) Immunobiology  Articles on similar topics can be found in the following Blood collections http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#repub_requests Information about reproducing this article in parts or in its entirety may be found online at: http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#reprints Information about ordering reprints may be found online at: http://bloodjournal.hematologylibrary. org/site/subscriptions/index.xhtml Information about subscriptions and ASH membership may be found online at:
A Three-Layer Architecture for Automatic Post Editing System Using Rule-Based Paradigm

This paper proposes a post-editing model in which our three-level rule-based automatic post-editing engine called Grafix is presented to refine the output of machine translation systems. The type of corrections on sentences varies from lexical transformation to complex syntactical rearrangement. The experimental results both in manual and automatic evaluations show that the proposed system is able to improve the quality of our state-of-the-art English-Persian SMT system.
No Difference in Sleep and RBD between Different Types of Patients with Multiple System Atrophy: A Pilot Video-Polysomnographical Study

Background. Patients with multiple system atrophy (MSA), similarly to patients with alpha-synucleinopathies, can present with different sleep problems. We sought to analyze sleep problems in the two subtypes of the disease MSA cerebellar type (MSA-C) and MSA parkinsonian type (MSA-P), paying special attention to REM sleep disturbances and periodic limb movements (PLMs). Methods. In the study we included 11 MSA-C and 27 MSA-P patients who underwent one night polysomnography. For the analysis, there were 37 valid polysomnographic studies. Results. Sleep efficiency was decreased in both groups (MSA-C, 64.27% ± 12.04%; MSA-P, 60.64% ± 6.01%). The PLM indices using standard measures, in sleep (PLMS) and while awake (PLMW), were high in both groups (MSA-C patients: PLMS index 72 ± 65, PLMW index 38 ± 33; MSA-P patients: PLMS index 66 ± 63, PLMW index 48 ± 37). Almost one-third of the MSA patients of both groups presented features of RLS on video-polysomnography. RBD was described in 8/11 (73%) patients with MSA-C and 19/25 (76%) patients with MSA-P (P = 0.849). Conclusion. Our results showed very similar polysomnographic results for both MSA-P and MSA-C patients as a probable indicator for the similar pathologic mechanism of the disease and especially of its sleep problems.
Differential Gene Expression of Three Mastitis-Causing Escherichia coli Strains Grown under Planktonic, Swimming, and Swarming Culture Conditions

Bacteria can exhibit various types of motility. It is known that different types of motilities can be associated with virulence. In this work, we compare gene expression levels in bacteria that were grown under conditions that promoted three different types of E. coli motility. Better understanding of the mechanisms of how bacteria can cause an infection is an important first step to better diagnostics and therapeutics. ABSTRACT Bacterial motility is thought to play an important role in virulence. We have previously shown that proficient bacterial swimming and swarming in vitro is correlated with the persistent intramammary infection phenotype observed in cattle. However, little is known about the gene regulation differences important for different motility phenotypes in Escherichia coli. In this work, three E. coli strains that cause persistent bovine mastitis infections were grown in three media that promote different types of motility (planktonic, swimming, and swarming). Using whole-transcriptome RNA sequencing, we identified a total of 935 genes (~21% of the total genome) that were differentially expressed in comparisons of the various motility-promoting conditions. We found that approximately 7% of the differentially expressed genes were associated with iron regulation. We show that motility assays using iron or iron chelators confirmed the importance of iron regulation to the observed motility phenotypes. Because of the observation that E. coli strains that cause persistent infections are more motile, we contend that better understanding of the genes that are differentially expressed due to the type of motility will yield important information about how bacteria can become established within a host. Elucidating the mechanisms that regulate bacterial motility may provide new approaches in the development of intervention strategies as well as facilitate the discovery of novel diagnostics and therapeutics. IMPORTANCE Bacteria can exhibit various types of motility. It is known that different types of motilities can be associated with virulence. In this work, we compare gene expression levels in bacteria that were grown under conditions that promoted three different types of E. coli motility. Better understanding of the mechanisms of how bacteria can cause an infection is an important first step to better diagnostics and therapeutics.
Genetic Dissection of the Cellular Pathways and Signaling Mechanisms in Modeled Tumor Necrosis Factor–induced Crohn's-like Inflammatory Bowel Disease

Recent clinical evidence demonstrated the importance of tumor necrosis factor (TNF) in the development of Crohn's disease. A mouse model for this pathology has previously been established by engineering defects in the translational control of TNF mRNA (Tnf Δ AREmouse). Here, we show that development of intestinal pathology in this model depends on Th1-like cytokines such as interleukin 12 and interferon γ and requires the function of CD8+ T lymphocytes. Tissue-specific activation of the mutant TNF allele by Cre/loxP-mediated recombination indicated that either myeloid- or T cell–derived TNF can exhibit full pathogenic capacity. Moreover, reciprocal bone marrow transplantation experiments using TNF receptor–deficient mice revealed that TNF signals are equally pathogenic when directed independently to either bone marrow–derived or tissue stroma cell targets. Interestingly, TNF-mediated intestinal pathology was exacerbated in the absence of MAPKAP kinase 2, yet strongly attenuated in a Cot/Tpl2 or JNK2 kinase–deficient genetic background. Our data establish the existence of redundant cellular pathways operating downstream of TNF in inflammatory bowel disease, and demonstrate the therapeutic potential of selective kinase blockade in TNF-mediated intestinal pathology.
Versatile padding schemes for joint signature and encryption

We propose several highly-practical and optimized constructions for joint signature and encryption primitives often referred to as <i>signcryption</i>. All our signcryption schemes, built directly from trapdoor permutations such as RSA, share features such as simplicity, efficiency, generality, near-optimal exact security, flexible and ad-hoc key management, key reuse for sending/receiving data, optimally-low message expansion, "backward" use for plain signature/encryption, long message and associated data support, the strongest-known qualitative security and, finally, complete compatibility with the PKCS#1 infrastructure. Similar to the design of plain RSA-based signature and encryption schemes, such as RSA-FDH and RSA-OAEP, our signcryption schemes are constructed by designing appropriate <i>padding schemes</i> suitable for use with trapdoor permutations. We build a general and flexible <i>framework</i> for the design and analysis of secure <i>Feistel-based</i> padding schemes, as well as three composition paradigms for using such paddings to build optimized signcryption schemes. To unify many secure padding options offered as special cases of our framework, we construct a single <i>versatile</i> padding scheme PSEP which, by simply adjusting the parameters, can work optimally with any of the three composition paradigms for either signature, encryption, or signcryption. We illustrate the utility of our signcryption schemes by applying them to build a secure key-exchange protocol, with performance results showing 3x-5x speed-up compared to standard protocols.
Cysteine modification reveals which subunits form the ligand binding site in human heteromeric 5-HT3AB receptors

Non‐technical summary Nerve signals are transmitted across cell membranes by receptors that can consist of multiple different subunits. The 5‐HT3 receptor is a pentamer which can function with A subunits alone, or with a mixture of A and B subunits. As 5‐HT activates the receptor by binding at the interface of adjacent subunits, it is important to know which subunits are adjacent. Here we show that in both A‐only and A+B receptors there is at least one A–A interface, without which the receptor cannot function. This knowledge is important for understanding the receptor mechanism, and also will allow the design of more specific drugs that act at the 5‐HT binding site.
On untyped Curien-Herbelin calculus

We prove the conﬂuence of λµ e µ T and λµ e µ Q , two well-behaved subcalculi of Curien and Herbelin’s λµ e µ calculus, stable under call-by-name and call-by-value reduction, respectively. Moreover, we study the semantics of λµ e µ calculus, give the interpretation of λµ e µ T and λµ e µ Q us-ing the category of negated domains and the Kleisli category. To the best of our knowledge, this is the ﬁrst interpretation of untyped λµ e µ calculus. We also give a thorough overview of the work on continuation semantics.
MULTI LAYER ARCHITECTURE FOR BREAST CANCER DIAGNOSIS

Breast cancer is one of the dangerous cancers among women. Due to this, the rate of death increases every year. In order to ease the radiologist task and early detection of breast cancer, multilayer architecture based on dyadic wavelet transform and Gaussian Mixture Model (GMM) is proposed in this paper. The chain of processes includes; preprocessing, feature extraction and classification. The need for preprocessing is to remove the noise such as background and patient information in the digital mammograms that affects the classification accuracy of the proposed system. In the feature extraction stage, the textural properties of mammograms are extracted by dyadic wavelet transform in various scale of decomposition. In order to reduce the redundancy of dyadic wavelet coefficients, an efficient averaged sub-band concept is developed. Then the features energy and entropy are extracted from the averaged sub-band and fed into the classifier. The classification consists of series of components; the first layer classifies the given mammogram into either normal or abnormal, the second layer decides the type of abnormalities either mass or microcalcification and the final layer classifies the severity of the abnormality into benign or malignant using GMM classifier. The results show that the average classification accuracy obtained at each layer is more than 95% when using the Digital Database for Screening Mammography (DDSM) database.
Efficient isolation of targeted Caenorhabditis elegans deletion strains using highly thermostable restriction endonucleases and PCR

Reverse genetic approaches to understanding gene function would be greatly facilitated by increasing the efficiency of methods for isolating mutants without the reliance on a predicted phenotype. Established PCR-based methods of isolating deletion mutants are widely used for this purpose in Caenorhabditis elegans. However, these methods are inefficient at isolating small deletions. We report here a novel modification of PCR-based methods, employing thermostable restriction enzymes to block the synthesis of wild-type PCR product, so that only the deletion PCR product is amplified. This modification greatly increases the efficiency of isolating small targeted deletions in C.elegans. Using this method six new deletion strains were isolated from a small screen of approximately 400 000 haploid genomes, most with deletions <1.0 kb. Greater PCR detection sensitivity by this modification permitted approximately 10-fold greater pooling of DNA samples, reducing the effort and reagents required for screens. In addition, effective suppression of non-specific amplification allowed multiplexing with several independent primer pairs. The increased efficiency of this technique makes it more practical for small laboratories to undertake gene knock-out screens.