Miracle-dz/UniFAR-FTUs huggingface dataset:
The superoxide‐producing NAD(P)H oxidase Nox4 in the nucleus of human vascular endothelial cells

The superoxide‐producing NAD(P)H oxidase Nox4 was initially identified as an enzyme that is highly expressed in the kidney and is possibly involved in oxygen sensing and cellular senescence. Although the oxidase is also abundant in vascular endothelial cells, its role remains to be elucidated. Here we show that Nox4 preferentially localizes to the nucleus of human umbilical vein endothelial cells (HUVECs), by immunocytochemistry and immunoelectron microscopy using three kinds of affinity‐purified antibodies raised against distinct immunogens from human Nox4. Silencing of Nox4 by RNA interference (RNAi) abrogates nuclear signals given with the antibodies, confirming the nuclear localization of Nox4. The nuclear fraction of HUVECs exhibits an NAD(P)H‐dependent superoxide‐producing activity in a manner dependent on Nox4, which activity can be enhanced upon cell stimulation with phorbol 12‐myristate 13‐acetate. This stimulant also facilitates gene expression as estimated in the present transfection assay of HUVECs using a reporter regulated by the Maf‐recognition element MARE, a DNA sequence that constitutes a part of oxidative stress response. Both basal and stimulated transcriptional activities are impaired by RNAi‐mediated Nox4 silencing. Thus Nox4 appears to produce superoxide in the nucleus of HUVECs, thereby regulating gene expression via a mechanism for oxidative stress response.
What makes for trusting relationships in online communication

Purpose – Trust is an ability that characterises human beings as social creatures. It is becoming a key variable in a society strongly influenced by online communication, and in the important field of PR as well. The present study aims to investigate the possibilities of creating trust in online communication when face‐to‐face interaction, which is usually considered to be a crucial element of communication, is missing. This is an empirical study of the factors that promote or hinder the expectation of trust and the willingness to trust.Design/methodology/approach – The research question is derived from attribution theory and postulates that the assigning of an interlocutor's similarity to or dissimilarity oneself influences the development of trust. Since online communication is a purely verbal exchange, various language styles were experimentally tested to determine whether they would create in the receiver a perception of similarity to or dissimilarity from the sender of the message, so that the receiv.
Devirtualizing virtual memory for heterogeneous systems

Accelerators are increasingly recognized as one of the major drivers of future computational growth. For accelerators, unified virtual memory (VM) promises to simplify programming and provide safe data sharing with CPUs. Unfortunately, the overheads of virtual memory, which are high for general-purpose processors, are even higher for accelerators. Providing accelerators with direct access to physical memory (PM) in contrast, provides high performance but is both unsafe and difficult to program. We propose the Devirtualized Virtual Memory (DVM) scheme to combine the protection of VM with direct access to PM. By guaranteeing identical physical and virtual addresses (PA==VA) for most accesses, DVM eliminates address translation in the common case and allows data fetch to happen in parallel with permission validation. DVM requires modest OS and IOMMU changes, and is transparent to the application. Implemented in Linux 4.10 for a graph-processing accelerator, DVM reduces VM overheads to less than 2% on average. DVM also improves performance by 2.1X over a highly-optimized, conventional VM implementation, while consuming 3.9X less dynamic energy for memory management. We further discuss DVM’s potential to extend beyond accelerators to CPUs, where it reduces VM overheads to 5% on average, down from 29% for conventional VM.
An map based sentence ranking approach to automatic summarization

While the current main stream of automatic summarization is to extract sentences, that is, to use various machine learning methods to give each sentence of a document a score and get the highest sentences according to a ratio. This is quite similar to the current more and more active field —learning to rank. A few pair-wised learning to rank approaches have been tested for query summarization. In this paper we are the pioneers to use a new general summarization approach based on learning to rank approach, and adopt a list-wised optimizing object MAP to extract sentences from documents, which is a widely used evaluation measure in information retrieval (IR). Specifically, we use SVMMAP toolkit which can give global optimal solution to train and score each sentences. Our experiment results shows that our approach could outperform the stand-of-the-art pair-wised approach greatly by using the same features, and even slightly better then the reported best result which based on sequence labeling approach CRF.
Changes in Antioxidant Status, Blood Pressure, and Lymphocyte DNA Damage from Grape Juice Supplementation

In a placebo‐controlled double‐blinded study, the effect of 8 weeks of grape juice was compared to the effect of isocaloric placebo juice. Volunteers with a systolic blood pressure > 130 mmHg and diastolic blood pressure > 90 mmHg were recruited. A total of 40 healthy subjects were randomized to receive isocaloric juices for 8 weeks. Twenty‐one subjects were instructed to consume 5.5 mL/kg daily of grape juice (GJ), and 19 subjects consumed placebo juice (PJ). Plasma antioxidant vitamin C, total radical trapping antioxidant capacity, blood pressure, and lymphocyte DNA damage were assessed pre‐ and postsupplementation. Plasma total radical‐trapping antioxidant potential showed an increase at the level of 1.31 ± 0.01 (postsupplementation) versus 1.33 ± 0.01 (presupplementation) (P < 0.1). Grape juice consumption resulted in a 26% decrease in lymphocyte DNA (both hydrogen peroxide treated or spontaneous) in the grape juice group, while no difference was found in the PJ group. Consuming moderate amounts of daily grape juice may favorably affect antioxidant defense systems and lymphocyte DNA damage in hypertensive individuals.
Spectra and Systems of Equations

In a previous work we introduced an elementary method to analyze the periodicity of a generating function defined by a single equation y=G(x,y). This was based on deriving a single set-equation Y = Gammma(Y) defining the spectrum of the generating function. This paper focuses on extending the analysis of periodicity to generating functions defined by a system of equations y = G(x,y). The final section looks at periodicity results for the spectra of monadic second-order classes whose spectrum is determined by an equational specification - an observation of Compton shows that monadic-second order classes of trees have this property. This section concludes with a substantial simplification of the proofs in the 2003 foundational paper on spectra by Gurevich and Shelah, namely new proofs are given of: (1) every monadic second-order class of $m$-colored functional digraphs is eventually periodic, and (2) the monadic second-order theory of finite trees is decidable.
Attachment, personality characteristics, and posttraumatic stress disorder in U.S. veterans of Iraq and Afghanistan.

U.S. veterans of Iraq and/or Afghanistan (N = 116) completed an Internet survey with questions related to attachment style in intimate relationships, personality factors, and posttraumatic stress disorder (PTSD). Participants completed the PTSD Checklist-Military, Experiences in Close Relationships Scale-Short Form, and the International Personality Item Pool Big Five Short Form Questionnaire. Most participants were male and Caucasian. Hierarchical linear regression analysis results indicated that emotional stability (β = -.46, p < .001) and attachment avoidance (β = .20, p < .05) were associated with PTSD symptom severity (adjusted R(2) = . 63). An interaction between conscientiousness and attachment anxiety was found (β = -.26, p < .001; ΔR(2) = . 06), with secure attachment moderating the relationship between conscientiousness and PTSD symptom severity. Results of this study indicate that emotional stability, conscientiousness, and secure relationship attachment styles (low attachment anxiety and avoidance) are important for postcombat mental health.
Effects of Electroconvulsive Therapy and Repetitive Transcranial Magnetic Stimulation on Serum Brain-Derived Neurotrophic Factor Levels in Patients with Depression

Objective: Brain-derived neurotrophic factor (BDNF) levels are decreased in individuals with depression and increase following antidepressant treatment. The objective of this study is to compare pre- and post-treatment serum BDNF levels in patients with drug-resistant major depressive disorder (MDD) who received either electroconvulsive therapy (ECT) or repetitive transcranial magnetic stimulation (rTMS). It is hypothesized that non-pharmacological treatments also increase serum BDNF levels. Methods: This was a prospective, single-blind study comparing pre- and post-treatment serum BDNF levels of 29 patients with drug-resistant MDD who received ECT or rTMS treatment. Serum BDNF levels were measured 1 week prior to and 1 week after treatment using the sandwich ELISA technique. Depression severity was measured 1 week before and 1 week after treatment using the Hamilton Depression Rating Scale. Two-sided normal distribution paired t-test analysis was used to compare pre- and post-treatment BDNF concentration and illness severity. Bivariate correlations using Pearson’s coefficient assessed the relationship between post-treatment BDNF levels and post-treatment depression severity. Results: There was no significant difference in serum BDNF levels before and after ECT, although concentrations tended to increase from a baseline mean of 9.95–12.29 ng/ml after treatment (p = 0.137). Treatment with rTMS did not significantly alter BDNF concentrations (p = 0.282). Depression severity significantly decreased following both ECT (p = 0.003) and rTMS (p < 0.001). Post-treatment BDNF concentration was not significantly correlated with post-treatment depression severity in patients who received either ECT (r = −0.133, p = 0.697) or rTMS (r = 0.374, p = 0.126). It is important to note that these results are based on the small number of patients included in this study. Conclusion: This study suggests that ECT and rTMS may not exert their clinical effects by altering serum BDNF levels in patients with drug-resistant MDD. Serum BDNF concentration may not be a biomarker of ECT or rTMS treatment response.
Six guns and society: A structural study of the Western

Preface 1. Introduction: The Myth and the Method 2. The Structure of Myth 3. The Structure of the Western Film 4. Myth as a Narrative of Social Action 5. Individuals and Values: The Classical Plot 6. Individuals Against Values: The Vengeance Variation 7. Groups and Techniques: The Professional Plot 8. Myth and Meaning Methodological Epilogue Appendix Bibliography Index
Rhythmic Patterning in Malaysian and Singapore English

Previous work on the rhythm of Malaysian English has been based on impressionistic observations. This paper utilizes acoustic analysis to measure the rhythmic patterns of Malaysian English. Recordings of the read speech and spontaneous speech of 10 Malaysian English speakers were analyzed and compared with recordings of an equivalent sample of Singaporean English speakers. Analysis was done using two rhythmic indexes, the PVI and VarcoV. It was found that although the rhythm of read speech of the Singaporean speakers was syllable-based as described by previous studies, the rhythm of the Malaysian speakers was even more syllable-based. Analysis of the syllables in specific utterances showed that Malaysian speakers did not reduce vowels as much as Singaporean speakers in cases of syllables in utterances. Results of the spontaneous speech confirmed the findings for the read speech; that is, the same rhythmic patterning was found which normally triggers vowel reductions.
Nysiad: Practical Protocol Transformation to Tolerate Byzantine Failures

The paper presents and evaluates Nysiad, a system that implements a new technique for transforming a scalable distributed system or network protocol tolerant only of crash failures into one that tolerates arbitrary failures, including such failures as freeloading and malicious attacks. The technique assigns to each host a certain number of guard hosts, optionally chosen from the available collection of hosts, and assumes that no more than a configurable number of guards of a host are faulty. Nysiad then enforces that a host either follows the system's protocol and handles all its inputs fairly, or ceases to produce output messages altogether--a behavior that the system tolerates. We have applied Nysiad to a link-based routing protocol and an overlay multicast protocol, and present measurements of running the resulting protocols on a simulated network.
Identification of the In Vivo Role of a Viral bcl-2

Many γ-herpesviruses encode candidate oncogenes including homologues of host bcl-2 and cyclin proteins (v-bcl-2, v-cyclin), but the physiologic roles of these genes during infection are not known. We show for the first time in any virus system the physiologic role of v-bcl-2. A γ-herpesvirus v-bcl-2 was essential for efficient ex vivo reactivation from latent infection, and for both persistent replication and virulence during chronic infection of immunocompromised (interferon [IFN]-γ−/−) mice. The v-cyclin was also critical for the same stages in pathogenesis. Strikingly, while the v-bcl-2 and v-cyclin were important for chronic infection, these genes were not essential for viral replication in cell culture, viral replication during acute infection in vivo, establishment of latent infection, or virulence during acute infection. We conclude that v-bcl-2 and v-cyclin have important roles during latent and persistent γ-herpesvirus infection and that herpesviruses encode genes with specific roles during chronic infection and disease, but not acute infection and disease. As γ-herpesviruses primarily cause human disease during chronic infection, these chronic disease genes may be important targets for therapeutic intervention.
Fingerprint Ridge Orientation Extraction: A Review of State of the Art Techniques

Personal identification based on fingerprints is very popular compared to identification based on other biometric features like iris, gait and face etc. Performance of automatic fingerprints identification systems depends upon the quality of fingerprints. Extraction of fingerprints features in poor quality fingerprints is challenging task. Accurate measurement of fingerprints feature improves the accuracy of identification systems. Fingerprints consists of ridge and valley structures and offers different types of features, they are categorized as level 1, level 2 and level 3 features. Level 1 features are singular points which are used for fingerprints registration, classification etc. Level 2 features are ridge features like minutiae points, ridge orientation etc., and commercially available fingerprint recognition systems are based on level 2 features. Level 3 features include sweat pores, incipient ridges etc. Among these features ridge orientation is used for fingerprint enhancement, fingerprint classification, indexing and fingerprint segmentation. This paper provides an overview of existing state of the art techniques for ridge orientation estimation.
Comparative analysis of SMT and DSA on Tagalog corpus

Text is the fundamental element in document classification in many natural language applications. Filipinos are fond of using social networking sites. With the rapid increase in the usage of social networking sites such as Twitter and blogs, there is also an increase in the use of casual language which often does not conform to the rules of spelling, structure and grammar of the specific language of the Filipinos, Tagalog. In this study, those shortened words or Non-Standard Words (NSW) were normalized in order to be easily understand by its readers. In this paper, we discussed the effectiveness of Dictionary Substitution Approach (DSA) and Statistical Machine Translation (SMT) on Tagalog Corpus. The way these machine translations treat the corpus are tackled. The final goal is to determine which machine translation is better. Results identified in this study that DSA and SMT both have advantages and disadvantages.
Software representation and composition techniques

The field of software development has undergone some of its most profound changes in the last ten years. Much of this change has been in response to ever increasing demands on software systems in terms of their complexity, reliability, and resiliency. Symptomatic of such rapid evolution is the proliferation of methods and techniques intended to solve "the" software problem. However, real-world software design problems often exhibit characteristics that make them unique. This forces the software engineer to seek alternative ways of composing and documenting a design. This paper describes a sampling of the alternatives and directs the reader to sources of more detailed information regarding their use as well as a larger survey of this rapidly changing field.
Judgements vs affective evaluations of counterfactual outcomes

Counterfactual thoughts are imagined alternatives to past events and outcomes. Such thoughts may address possible consequences and effects of a counterfactual turn of events, and also an affective evaluation of that simulated outcome. Previous research has shown that estimates of counterfactual consequences are exaggerated (Teigen, Kanten, & Terum, 2011). The present research compared both consequence estimates and affective evaluations of factual and counterfactual outcomes. Consistent with previous findings, participants exaggerated consequence estimates, but affective evaluations indicated an opposite effect: Factual events were evaluated as more emotionally impressive than comparable counterfactual outcomes, for both negative (Experiment 1) and positive outcomes (Experiment 2). We discuss these apparently contradictory findings within the framework of construal level theory and suggest that both findings are compatible with an abstract, high-level account of counterfactual thinking.
A Study of Neural Network in Diagnosis of Thyroid Disease

Many advances have been made in developing intelligent systems, some inspired by biological neural network. Artificial neural networks are used to solve a variety of problems in pattern recognition, prediction, optimization, associative memory, and control.Nowadays, one of the main issues to create challenges in medicine sciences by developing technology is the disease diagnosis with high accuracy. In the recent decades, Artificial Neural Networks (ANNs) are considered as the best solutions to achieve this goal. Proper interpretation of the functional data about thyroid gland is important for the diagnosis of thyroid disease. The main role of the thyroid gland is to help in regulation of body's metabolism. Production of too little thyroid hormone or production of too much thyroid hormone definites the type of thyroid disease. In this paper we deal with the neural networks, feed forward neural network and how it is used to classify the thyroid disease using back propogation algorithm. Index Terms— Artificial neural network, back propogation learning algorithm, feed forward neural network, thyroid disease 1 INTRODUCTION Proper interpretation of the thyroid gland is important for the diagnosis of thyroid disease. It is one of the most important gland as thyroid hormones are responsible for controlling metabolism. Functioning of thyroid has an impact on every organ of the body. This gland makes two active hormones levothyro-xine (abbreviated T4) and triiodothyronine (abbreviated T3). These hormones are important for manufacturing proteins, in regulation of body temperature, and in overall energy production and regulation. The common thyroid disorder is hypothyroidism in which Thyroid does not produce enough hormone. Less frequently, thyroid produces too much hormone which is known as hypert-hyroidism. Groups most commonly affected by the disorder include women and elderly people. The seriousness of the disorders should not be underestimated as the end stage of untreated hyperthyroidism may lead to death in a significant number of cases. The correct diagnosis of dysfunctions based on clinical and laboratory tests often proves difficult. One of the reason is non specific nature of many thyroid symptoms. This is true for hyperthyroidism where symptoms such as lethargy, confusion, weight gain and poor memory are easily confused with other psychiatric and medical conditions. Laboratory tests have become more accurate and helpful but the results are still not very satisfactory across all situations. Research activities have shown that artificial neural networks have powerful pattern classification and pattern recognition ability. They have been used in diagnosis of …
System and software designs for transaction processing in asymmetric communication environments

Observing that it is impractical to use traditional methods to control concurrency in broadcast‐based asymmetric communication environments, we introduce a concurrency control protocol designed for broadcast‐based transaction processing called Server Timestamp and Update Broadcast Supported Concurrency (STUBcast). STUBcast supports two new correctness criteria proposed in this paper—Single Serializability and Local Serializability. These criteria are weaker than global serializability, but are practical and easier to achieve in broadcast environments. This article also discusses the software design for the simulation program and the protocol implementation. Simulation results collected using our simulation program suggest that STUBcast could be very efficient in realistic application environments. Copyright © 2003 John Wiley & Sons, Ltd.
Tracking of convoys by airborne STAP radar

In this contribution the problem of tracking convoys moving on the ground by means of airborne radar is discussed. A coherent radar with multi-channel array antenna is considered which makes clutter suppression by space-time adaptive processing (STAP) techniques possible. In addition, a technique to estimate the lateral length component of a convoy is used in addition to the conventional range measurement. In this way, knowledge about the full length vector of the convoy is obtained. In the second part of this paper we discuss how far the knowledge about the true convoy length can contribute to improving the tracking process.
School Talk: Gender and Adolescent Culture

In the cafeteria and schoolyard, by the lockers and watiing for class, the identies of middle-school youth are reflected in their constant exchange of gossip, insults, and teasing. Donna Eder, Catherine Evans, and Stephen Parker spent three years in a midwestern middle school listening to what these eleven- to fourteen-year-olds had to say to each other. Their book provides an insightful look into the language and culture of today's adolescents. Winner of the North Central Sociological Association's 1996 Scholarly Achievement Award