Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for the Symmetric Eigenproblem

We present the Multi-section with Multiple Eigenvalues (MME) Method for finding eigenvalues of symmetric tridiagonal matrices, and show how to dynamically choose implementation parameters to optimize its performance. Performance results with the Hitachi SR8000 with 8 processors per node yield (1) up to 6.3x speedup over a conventional multi-section method, and (2) up to 1.47x speedup over a statically tuned MME method.
Perldoop: Efficient execution of Perl scripts on Hadoop clusters

Hadoop is one of the most important implementations of the MapReduce programming model. It is written in Java and most of the programs that run on Hadoop are also written in this language. Hadoop also provides an utility to execute applications written in other languages, known as Hadoop Streaming. However, the ease of use provided by Hadoop Streaming comes at the expense of a noticeable degradation in the performance. In this work, we introduce Perldoop, a new tool that automatically translates Hadoop-ready Perl scripts into its Java counterparts, which can be directly executed on Hadoop while improving their performance significantly. We have tested our tool using several Natural Language Processing (NLP) modules, which consist of hundreds of regular expressions, but Perldoop could be used with any Perl code ready to be executed with Hadoop Streaming. Performance results show that Java codes generated using Perldoop execute up to 12x faster than the original Perl modules using Hadoop Streaming. In this way, the new NLP modules are able to process the whole Wikipedia in less than 2 hours using a Hadoop cluster with 64 nodes.
Cost of quality usage and its relationship to quality system maturity

Purpose – The purposes of this study are to examine the relationship between the distribution of quality costs and the level of maturity of an organization's quality system, to assess the extent to which effective COQ systems and maturing quality systems affect organization performance, and to determine why some organizations do not utilize COQ systems.Design/methodology/approach – A survey instrument was developed to determine the distribution of total quality cost among the four ASQ categories. The instrument also assesses the maturity of the organization's quality system using the ANSI/ISO/ASQ Q9004‐2000 performance maturity level classification system. Correlation analysis was used to examine the relationships between quality costs and quality system maturity.Findings – External failure costs were found to decline as a percentage of total cost of quality (COQ) as an organization's quality system matures. Total COQ was found to increase as an organization moved from a very low level of quality system m.
Study of the Temporal-Statistics-Based Reputation Models for Q&A Systems

Q&A systems are becoming a vital source of knowledge in many dierent do- mains. In some cases, they are also associated with services which provide employers with important information regarding the expertise of its potential employees. Therefore, the reputation earned in such communities can be asso- ciated with better job opportunities, and its significance is increasing. However, in a community where there is no direct financial motivation for participation, a reputation score is not solely an expertise metric. It is also a powerful motiva- tor for remaining an active community member. Regardless of this complexity, algorithms for calculating reputation scores need to be as easy to understand (and implement) as possible. Therefore, the designers of the Q&A reputation system often implement a set of fixed rules, to some extent trading quality for quantity. Our goal is to study whether (and how) temporal statistics of a Q&A website can be incorporated into its reputation system. We want the proposed mechanism to dynamically adjust the impact of a single-answer eval- uation on the reputation of its producer. We would like the proposed model to accurately reflect the expertise of content producers.
Adaptive boolean network tomography for link failure detection

In this paper, we consider boolean network tomography to identify link failures in a network. In boolean network tomography, the relationship between end-to-end measurements and link states are represented with a system of boolean equations, and failure links are identified by solving the equations. In order to establish measurement paths efficiently, we propose an adaptive boolean network tomography scheme, where measurement paths are established sequentially according to a candidate set of failure links. Here, to derive the candidate set, we extend CBP (Combinatorial Basis Pursuit), a representative decoding algorithm in Combinatorial Group Testing, and utilize its property that it can identify failure links without false negative errors. We evaluate the performance of the proposed scheme in terms of the number of measurement paths and compare it with a non-adaptive boolean network tomography scheme. Furthermore, we propose mobility-assisted boolean network tomography, which can improve the ambiguity problem in boolean network tomography.
Correlation with clinical events

本願は、臨床施設のヘルスケア実践を改善することに関する。 電子患者カルテ１６を利用する施設において、相関プロセッサ２４は、システムのユーザによって規定されるイベント間の相関関係を発見する。 ユーザは、最初にアンカーイベントを選択する。 そののち、ユーザは、関連するイベントを選択する。 アンカーイベント及び関連するイベントの双方が、不所望の結果を排除するために、適当なフィルタを通されることができる。 ユーザは、そののち、アンカーイベントと関連するイベントとの間の関係を規定する。 相関プロセッサ２４は、ユーザによって規定された相関関係を見つけるために患者カルテ１６をサーチする。 結果が、ユーザによって指定される形式でユーザのために表示される。
A Scalable Architecture for Real-Time Monitoring of Large Information Systems

Data centers supporting cloud-based services are characterized by a huge number of hardware and software resources often cooperating in complex and unpredictable ways. Understanding the state of these systems for reasons of management and service level agreement requires scalable monitoring architectures that should gather and evaluate continuosly large flows in almost real-time periods. We propose a novel monitoring architecture that, by combining a hierarchical approach with decentralized monitors, addresses these challenges. In this context, fully centralized systems do not scale to the required number of flows, while pure peer-to-peer architectures cannot provide a global view of the system state. We evaluate the monitoring architecture for computational units of gathering and evaluation in real contexts that demonstrate the scalability potential of the proposed system.
Webis at TREC 2014: Web, Session, and Contextual Suggestion Tracks

In this paper we give a brief overview of the Webis group’s participation in the TREC 2014 Web, Session and Contextual Suggestion tracks. All our runs for the Web and the Session track are on the full ClueWeb12 and use the online Indri retrieval system hosted at CMU. Our runs for the Contextual Suggestion track are based on the open web. As for the Web track, our runs are aimed at one research question: whether using axioms for re-ranking a baseline result list improve the retrieval performance. Therefore, we implement the axioms available in the axiomatic IR literature and combine them with new axioms aimed at term proximity. Trained on the TREC 2013 Web track data, three promising combinations of axioms are identified in a large-scale experiment and used for our three runs. As for the session track, we tackle three research questions in three dierent runs. First, similar to the Web track, we examine whether an axiom combination helps to improve session retrieval. Second, we examine the eect of presenting relevant documents from previous years when they seem to be related to the current queries of the 2014 data. Our third question is whether the user interactions can be used to train an activation model to predict relevant documents for new queries. As for the contextual suggestion track, our research question is whether explanations based on the user profile and explaining why specific entities are suggested by the system are perceived positively or negatively by the user. Our focus is not explicitly on finding the most relevant suggestions but rather on examining the eect of dierent descriptions. Thus, the system for finding the suggestions is simply based on techniques shown promising in the previous years. Our first run uses “standard” descriptions while in the second run the standard description is enriched by a profile specific sentence explaining the reasoning underlying the suggestion.
A novel approach for improving error detection and correction in WSN

In this paper, error detection and correction algorithms are studied and a novel approach is proposed to increase the speed of computations using the polynomial residue number system (PRNS) in a Wireless Sensor Network (WSN). The proposed approach employs a Cyclical Redundancy Code (CRC) to reduce the number of gates required in the PRNS. It is compared with a binary number contender in terms of speed, number of gates for adder implementation, propagation delay and power consumption. Comparison results show the competence of the proposed method in comparison with the binary number contender.
A novel instantaneous phase difference estimator: piecewise maximum cross-correlation function

The instantaneous phase synchrony estimation of biomedical signals is of increasing concern in terms of revealing bivariate dynamics of biological systems. The estimation of phase synchronization contains two major parts: the phase difference estimation and the synchronization index calculation. In recent studies of cerebral autoregulation (CA), a number of instantaneous phase difference estimation methods have been proposed to study instantaneous dynamic between arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV). In this study, we took complex Morlet wavelet (CMW), the most widely used method as an example to discuss the possible limitations and propose a time-shift based method, piecewise maximum cross correlation function (PMCC) method. The analysis and the results show that PMCC avoids the trade-off between time and frequency resolution which exists in wavelet or short time Fourier transform based methods, and performs well in anti-noise. We finally discussed the limitation of PMCC.
Can aminotransferase-to-platelet ratio index and other non-invasive markers effectively reduce liver biopsies for renal transplant evaluation of hepatitis C virus-positive patients?

BACKGROUND Advanced fibrosis or cirrhosis is still regarded as a contraindication for kidney transplantation alone by most centers. The value of aminotransferase to platelet ratio index (APRI) and other non-invasive markers has been less studied in hepatitis C virus (HCV)-positive patients with concurrent end-stage renal disease to predict hepatic fibrosis. Can these be used to effectively decrease the number of biopsies done in these patients being evaluated for transplantation? METHODS Our study population included 255 patients with liver biopsy data. All patient information was collected and reviewed from medical records. The diagnostic accuracy of the predictive models was analyzed by calculating sensitivity, specificity, positive predictive value and negative predictive value. RESULTS The variables associated with F3-F4 were aspartate aminotransferase (P = 0.007), bilirubin (P ≤ 0.001), platelet count (P = 0.01) and APRI (P ≤ 0.001). The use of any one laboratory abnormality to predict liver biopsy scores did not show high positive predictive values (22.6-72.7%). Having abnormal liver findings or cirrhosis on imaging was associated with high specificities (92.0-97.8%) but low sensitivities (31.4-42.9%). Using APRI levels of ≥0.40 and ≤0.95 as an indication for liver biopsy, 50% of patients with F3-F4 would have correctly avoided having a biopsy. However, 33% of patients with F3-F4 would have been mislabeled and not be indicated for biopsy. CONCLUSIONS Our data suggest that there may not currently be a simple and sufficiently accurate non-invasive test to replace liver biopsy in renal transplant workup for HCV-positive patients. The risks outweigh the benefits when it comes to using non-invasive markers like the APRI.
Evolutionary Medicine: From Dwarf Model Systems to Healthy Centenarians?

Restriction of the number of calories consumed extends longevity in many organisms. In rodents, caloric restriction decreases the levels of plasma glucose and insulin-like growth factor I (IGF-1) and postpones or attenuates cancer, immunosenescence, and inflammation without irreversible side effects. In organisms ranging from yeast to mice, mutations in glucose or IGF-I–like signaling pathways extend life-span but also cause glycogen or fat accumulation and dwarfism. This information suggests a new category of drugs that could prevent or postpone diseases of aging with few adverse effects.
IBM Research Activities at TREC

Several groups in IBM’s Research Division have participated in TREC, with differing goals. This chapter summarizes some of their activities and the conclusions they reached. It should be emphasized that there was no central plan in these activities – individual groups decided to participate in the way that made sense to them at the time. In effect, participation in TREC was a tool they used to further their diverse research agendas. In some cases, groups participated once or twice in order to explore some issue; in other cases, regular participation in certain TREC tracks has been a central component of a group’s research agenda. In this chapter we will first describe IBM Research’s participation in the TREC tracks most relevant to the classic document retrieval task, and in the tracks related to user interfaces for search and crosslanguage document retrieval. Then we will outline the extensive series of submissions made to the Question Answering track, and finally discuss IBM Research’s activities in multimedia retrieval at TREC.
BH3-only Protein Noxa Is a Mediator of Hypoxic Cell Death Induced by Hypoxia-inducible Factor 1α

Hypoxia is a common cause of cell death and is implicated in many disease processes including stroke and chronic degenerative disorders. In response to hypoxia, cells express a variety of genes, which allow adaptation to altered metabolic demands, decreased oxygen demands, and the removal of irreversibly damaged cells. Using polymerase chain reaction–based suppression subtractive hybridization to find genes that are differentially expressed in hypoxia, we identified the BH3-only Bcl-2 family protein Noxa. Noxa is a candidate molecule mediating p53-induced apoptosis. We show that Noxa promoter responds directly to hypoxia via hypoxia-inducible factor (HIF)-1α. Suppression of Noxa expression by antisense oligonucleotides rescued cells from hypoxia-induced cell death and decreased infarction volumes in an animal model of ischemia. Further, we show that reactive oxygen species and resultant cytochrome c release participate in Noxa-mediated hypoxic cell death. Altogether, our results show that Noxa is induced by HIF-1α and mediates hypoxic cell death.
Computational Constraints in Cognitive Theories of Forgetting

This article highlights some of the benefits of computational modeling for theorizing in cognition. We demonstrate how computational models have been used recently to argue that (1) forgetting in short-term memory is based on interference not decay, (2) forgetting in list-learning paradigms is more parsimoniously explained by a temporal distinctiveness account than by various forms of consolidation, and (3) intrusion asymmetries that appear when information is learned in different contexts can be explained by temporal context reinstatement rather than labilization and reconsolidation processes.
Technology Program Financial Forecast Model Based on CACO-SVM

Accompany by the rapid changes of the world, the funds on technology programs invested by the country are increasing year by year with the growing demand. This paper introduces the theory of continuous ant colony optimization algorithms and support vector machine to analyze, predicts the financial situation of enterprises and sets up the financial forecast model CACO-SVM. Financial datas of some companies are used to train and test this arithmetic, and the results show that this model is feasible and practicable.
Impaired microcirculation predicts poor outcome of patients with acute myocardial infarction complicated by cardiogenic shock.

AIMS we investigated the relationship between sublingual perfused capillary density (PCD) as a measure of tissue perfusion and outcome (i.e. occurrence of organ failure and mortality) in patients with cardiogenic shock from acute myocardial infarction. METHODS AND RESULTS we performed a prospective study in 68 patients. Using Sidestream Dark Field imaging, PCD was measured after hospital admission (T0, baseline) and 24 h later (T1). We compared patients with baseline PCD ≤ median to patients with baseline PCD > median. Sequential organ failure assessment (SOFA) scores were calculated at both time points. The Kaplan-Meier 30-day survival analyses were performed and predictors of 30-day mortality were identified. The baseline PCD was a predictor of the change in the SOFA score between T0 and T1 (ΔSOFA; ρ = -0.25, P = 0.04). Organ failure recovered more frequently in patients with PCD > median (>10.3 mm mm(-2); n = 33) than in patients with PCD ≤ median (n = 35; 52 vs. 29%, P < 0.05). Twenty-two patients (32%) died: 17 patients (49%) with PCD ≤ median vs. 5 patients (15%) with PCD > median (P = 0.004). After adjustment, the cardiac power index [odds ratio (OR): 0.48, 95% CI: 0.24-0.94) and PCD (OR: 0.65, 95% CI: 0.45-0.92) remained significant predictors of 30-day outcome. Patients with baseline sublingual PCD ≤ median that improved at T1 had a considerable better prognosis relative to patients who had a persistently low PCD. CONCLUSION diminished sublingual PCD, at baseline or following treatment, is associated with development of multi-organ failure and is a predictor of poor outcome in patients with acute myocardial infarction complicated by cardiogenic shock.
The impact of attachment disorder on the family and child

John Bowlby's attachment theory suggests that based on their needs for protection, comfort and nurturance, infants form attachments with their primary caregivers. The initial relationships a person has with others wi ll serve as a blueprint for all future relationships. This connection has a significant influence on every area of a person' s life, including cognition, physical and emotional health, future re lationships, education and development of values. When an infant's needs are met with inconsistency, abuse or maltreatment, the influence on a chi ld's life and those caring for the child is widespread. This study sought to explore the impact caring for a child with attachment disorder has on a family as well as the supports needed for foster and/or adoptive families dealing with attachment disorders to be successful and to determine the areas of need regarding a child's education. Results indicate that caring for a chi ld with attachment difficulties has a negative impact on the family, including other children in the home, as well as the overall family environment, such as routines. However, the parents surveyed remain positive towards their children with attachment difficulties and committed to helping them. The study also reflects that schools are not fu lly prepared for the challenges a child with attachment difficulties can present. THE IMPACT OF ATTACHMENT DISORDER ON THE FAMILY AND CHILD A Thesis Submitted In Partial Fulfillment Of the Requirements for the Degree Education Specialist
InBeat: Recommender System as a Service

Interest Beat (inbeat.eu) is a service for recommendation of content. InBeat was designed with emphasis on versatility, scalability and extensibility. The core contains the General Analytics INterceptor module, which collects and aggregates user interactions, the Preference Learning module and the Recommender System module. In this paper, we describe InBeat general architecture, putting emphasis on its highperformance architecture that was used in the CLEF-NEWSREEL: News Recommendation Evaluation Lab.
A multifactor dimensionality reduction-logistic regression model of gene polymorphisms and an environmental interaction analysis in cancer research.

BACKGROUND Analysis of interactions between genes and the environment with complex multifactorial human disease faces important challenges. Limitations of parametric-statistical methods for detection of gene effects that are dependent solely or partially on interactions with other genes or environmental exposures are key problems. The aim of the study was to investigate the use of multifactor dimensionality reduction (MDR) and logistic regression models to analyze the effects of interactions between complex disease genes with other genes and with environmental factors and to compare the results of these two methods in interaction analysis. METHODS In this case-control study, the two methods were applied to analog data of samples from 486 cancer patients and 514 control individuals by computer simulation, including 4 environment factors (E1~E4) and 8 gene polymorphism factors (G1~G8). Non-conditional logistic regression was used to analyze risk factors for cancer, and MDR and logistic regression were employed to analyze interactions under various conditions. RESULTS MDR could find high-level interactions between genes and the environment (E3*G1*G7), but it could not find a main effect; conversely, logistic regression better analyzed the main effects (E3, G1, and G4) but was limited in its analysis of high-level interactions (E3*G1*G7). The results of these two methods with analog data show that the gene G1 site, the G4 site, E3, and the E3*G1*G7 interaction may be risk factors for occurrence of cancer. CONCLUSIONS MDR and logistic regression, which are the two complementary methods, can be combined to analyze gene-gene (gene-environment) interactions with good results. This approach should help to determine the causes of diseases, such as chronic non-transmittable diseases like cancer.
A comparative performance evaluation of DCCP

Interest continues to grow in alternative transport protocols to the Transmission Control Protocol (TCP). These alternatives include protocols designed to give greater efficiency in high-speed, high-delay environments (so-called high-speed TCP variants), and protocols that provide congestion control without reliability. For the former category, along with the deployed base of dasiavanillapsila TCP - TCP NewReno - the TCP variants BIC and Cubic are widely used within Linux: for the latter category, the Datagram Congestion Control Protocol (DCCP) is currently on the IETF Standards Track. It is clear that future traffic patterns will consist of a mix of flows from these protocols (and others). So, it is important for users and network operators to be aware of the impact that these protocols may have on users. We assess the performance of DCCP CCID2 relative to TCP NewReno, and variants BIC and CUBIC, all in ldquoout-of-the boxrdquo configurations. We use a testbed and end-to-end measurements to assess overall throughput, and also to assess fairness - how well these protocols might respond to each other when operating over the same end-to-end network path. We find that DCCP CCID2 shows good fairness with NewReno under our test conditions, while BIC and CUBIC show unfairness above round-trip times of 25 ms.