Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring recollection and familiarity in the medial temporal lobe

Many recent studies have investigated how the structures of the medial temporal lobe (MTL) support recollection and familiarity, which are two processes widely thought to support recognition memory. The behavioral methods that are used to isolate recollection and familiarity in neuroimaging and lesion studies typically assume that recollection is a categorical process and not a continuous process. A categorical process is one that either occurs or does not occur for a particular test item (yielding high confidence and high accuracy when it does occur), whereas a continuous process is one that comes in degrees (yielding varying degrees of confidence and accuracy). Studies suggesting that the hippocampus selectively supports the recollection process (such as those that use the Remember/Know procedure or rely on Receiver Operating Characteristic analysis) generally depend on the categorical view of recollection, but much recent evidence suggests that recollection is a continuous process. If recollection is a continuous process (i.e., if recollection comes in degrees), then evidence that has been taken to mean that the hippocampus selectively supports recollection is also compatible with the idea that the hippocampus supports both recollection and familiarity. We suggest that an alternative method can be used to effectively investigate recollection and familiarity in the MTL, one that is valid whether recollection is a categorical or a continuous process. © 2010 Wiley‐Liss, Inc.
Exercise training combined with electromyostimulation in the rehabilitation of patients with chronic heart failure: A randomized trial.

AIM Both aerobic training (AT) and electromyostimulation (EMS) of leg muscles improve exercise tolerance in patients suffering from chronic heart failure (CHF). It was speculated that combination of both methods might have an additive effect. This study was performed to evaluate the effects of a combination of AT and EMS in rehabilitation (RHB) of CHF patients. PATIENTS AND METHODS Patients (n=71; age 59 ± 10.2 yrs, NYHA II/III, EF 32 ± 7.1%) were randomized into 3 groups: a) group AT, b) group EMS, and c) group AT+EMS. AT protocol included standard activity on bicycle 3x a week at the level of individual anaerobic threshold. EMS (10 Hz, mode 20s "on"/20s "off") was applied to leg extensors for 2 h/day. Total time of given type of RHB was 12 weeks. RESULTS Data analysis revealed statistically significant improvements of patients in all experimental groups (averaged difference after 12 weeks of exercise as related to initial value: ∆VO2peak: +12.9%, ∆VO2AT: +9.3%, ∆Wpeak: +22.7%). No statistically significant difference among experimental groups was found. Quality of life (Minnesota Living with Heart Failure - MLHF) global score was significantly improved in all 3 groups: AT (∆MLHF: -27.9%; P=0.001), AT+EMS (∆MLHF: -29.1%; P=0.002), and EMS (∆MLHF: -16.6%; P=0.008). MLHF score in EMS group showed the smallest time-related improvement compared to AT and AT+EMS groups, and this difference in improvement between the groups was statistically significant (P=0.021). CONCLUSION No significant difference was found between the two types of exercise training.and nor did, their combination have any significant additional improvement.
KNOWLEDGE SHARING IN ORGANIZATIONS: MULTIPLE NETWORKS, MULTIPLE PHASES

Different subsets of social networks may explain knowledge sharing outcomes in different ways. One subset may counteract another subset, and one subset may explain one outcome but not another. We found support for these arguments in an analysis of a sample of 121 new-product development teams. Within-team and interunit networks had different effects on the outcomes of three knowledge-sharing phases: deciding whether to seek knowledge across subunits, search costs, and costs of transfers. These results suggest that research on knowledge sharing can be advanced by studying how multiple networks affect various phases of knowledge sharing.
Effective and precise dynamic detection of hidden races for Java programs

Happens-before relation is widely used to detect data races dynami-cally. However, it could easily hide many data races as it is inter-leaving sensitive. Existing techniques based on randomized sched-uling are ineffective on detecting these hidden races. In this paper, we propose DrFinder, an effective and precise dynamic technique to detect hidden races. Given an execution, DrFinder firstly analyz-es the lock acquisitions in it and collects a set of "may-trigger" relations. Each may-trigger relation consists of a method and a type of a Java object. It indicates that, during execution, the method may directly or indirectly acquire a lock of the type. In the subsequent executions of the same program, DrFinder actively schedules the execution according to the set of collected may-trigger relations. It aims to reverse the set of happens-before relation that may exist in the previous executions so as to expose those hidden races. To effectively detect hidden races in each execution, DrFinder also collects a new set of may-trigger relation during its scheduling, which is used in its next scheduling. Our experiment on a suite of real-world Java multithreaded programs shows that DrFinder is effective to detect 89 new data races in 10 runs. Many of these races could not be detected by existing techniques (i.e., FastTrack, ConTest, and PCT) even in 100 runs.
Study of feature selection to learn SVM models useful for extracting ACE mentions of relations

We studied the importance of different features for the extraction of relationships from ACE documents in support vector machine (SVM) learning. Features that we extracted for training and classification were the actual words, bigrams of words, annotations, such as part of speech (POS), semantic roles (SR), dependency parses (DP), and name entities (NEs), in positions around, between, and at the positions of the two argument name entities. Performance with linear, polynomial, RBF kernels were at dismal 20% accuracy levels. A custom kernel, a combination of argument kernel and bigram kernel, yielded 71.7% accuracy and 70% f-measure.
Organizing for Fluidity? Dilemmas of New Organizational Forms

An important new stream of thought stressing the importance of organizational fluidity has emerged in recent years. It represents a reaction to the increasing complexity and environmental turbulence that organizations have to master. The solutions proposed are highly flexible and fluid organizational forms, based on relentlessly changing templates, quick improvisation, and ad hoc responses. This approach is in sharp contrast to other recent organizational research that emphasizes identity, path dependence, economies of specialization, and recursive practices. We juxtapose the idea of organizational fluidity with this latter stream of research. If taken to its final conclusion, then the idea of promoting organizational fluidity would imply losing the very essence of organizing. Nevertheless, achieving organizational flexibility remains imperative in increasingly complex and volatile environments. To deal with this dilemma, an alternative approach is needed. We suggest a conceptualization of this dilemma that emphasizes the complementary dynamics between the two perspectives. We therefore provide an alternative conception that favors the idea of balancing countervailing processes in organizations with respect to the conflicting demands of organizational efficiency and fluidity.
Recent developments in life sciences research: Role of bioinformatics

Life sciences research and development has opened up new challenges and opportunities for bioinformatics. The contribution of bioinformatics advances made possible the mapping of the entire human genome and genomes of many other organisms in just over a decade. These discoveries, along with current efforts to determine gene and protein functions, have improved our ability to understand the root causes of human, animal and plant diseases and find new cures. Furthermore, many future Bioinformatic innovations will likely be spurred by the data and analysis demands of the life sciences. This review briefly describes the role of bioinformatics in biotechnology, drug discovery, biomarker discovery, biological databases, bioinformatic tools, bioinformatic tasks and its application in life sciences research.
Static Estimation of Test Coverage

Test coverage is an important indicator for unit test quality. Tools such as Clover compute coverage by first instrumenting the code with logging functionality, and then logging which parts are executed during unit test runs. Since computation of test coverage is a dynamic analysis, it presupposes a working installation of the software. In the context of software quality assessment by an independent third party, a working installation is often not available. The evaluator may not have access to the required libraries or hardware platform. The installation procedure may not be automated or documented. In this paper, we propose a technique for estimating test coverage at method level through static analysis only. The technique uses slicing of static call graphs to estimate the dynamic test coverage. We explain the technique and its implementation. We validate the results of the static estimation by statistical comparison to values obtained through dynamic analysis using Clover. We found high correlation between static coverage estimation and real coverage at system level but closer analysis on package and class level reveals opportunities for further improvement.
2 8 Ju n 19 99 Boundary Kondo impurities in the generalized supersymmetric t − J model

We study the generalized supersymmetric t − J model with Kondo impurities in the boundaries. We first construct the higher spin operator K-matrix for the XXZ Heisenberg chain. Setting the boundary parameter to be a special value, we find a higher spin reflecting K-matrix for the supersymmetric t− J model. By using the Quantum Inverse Scattering Method, we obtain the eigenvalue and the corresponding Bethe ansatz equations. PACS: 75.10. Jm, 72.15. Qm, 71.10. Fd.
The Significance of Long Noncoding RNA H19 in Predicting Progression and Metastasis of Cancers: A Meta-Analysis

Recently, numerous studies indicate that H19 plays a key role in tumorigenesis, but the results have been disputed, especially in the aspects of tumor progression and metastasis. Therefore, we performed this meta-analysis to systematically summarize the relationship between H19 and cancers. We searched PubMed, the Cochrane Library, CNKI, and Chinese Wan Fang to identify eligible studies. Odds ratios and 95% confidence intervals were calculated to assess the effect size. A total of 13 studies were enrolled in this meta-analysis, which was performed by Revman5.3 and Stata11.0 software. Our meta-analysis showed that the expression of H19 was associated with distant metastasis in nongastrointestinal tumors (OR = 3.85, 95% CI = 1.31–11.36, P = 0.01) and, in gastrointestinal tumors (OR = 0.34, 95% CI = 0.15–0.78, P = 0.01), lymph node metastasis (OR = 2.04, 95% CI = 1.19–3.48, P = 0.009). Moreover, in gastric cancer, H19 expression was significantly related to histological grade (OR = 0.50, 95% CI = 0.29–0.86, P = 0.01), TNM stage (OR = 0.19, 95% CI = 0.11–0.33, P < 0.01), and tumor invasion depth (OR = 0.11, 95% CI = 0.04–0.27, P < 0.01). Therefore, H19 could serve as a potential marker for progression and metastasis evaluation of cancers.
Predicting the thermal conductivity of nanofluids based on suspension viscosity

A methodology to predict the thermal conductivity of nanofluids based on the suspension rheology is proposed and experimentally validated by using four types of nanofluids; the suspensions of titania nanoparticles and titanate nanotubes in water and ethylene glycol liquids. Such a methodology lies in the use of suspension rheological behaviour to determine the microstructure of nanofluids, which is then used for the thermal conductivity prediction.
Effect of a flow chart on use of blood transfusions in primary total hip and knee replacement: prospective before and after study

Problem A suspected high proportion of unnecessary blood transfusions occur in patients undergoing total joint replacement. Design Prospective before and after study evaluating the impact of a one page flow chart aimed at reducing the use of blood transfusions. Setting Orthopaedic tertiary care centre in Winterthur, Switzerland. 208 patients underwent primary total joint replacement of hips or knees during the control period (October 1998 to September 1999) and 217 during the intervention period (October 1999 to September 2000). Key measures for improvement Proportion of patients receiving allogeneic blood transfusions. Strategies for change A simple one page flow chart, which summarised graphically the perioperative decision pathways for anaemic patients, was placed in all charts of patients undergoing total joint replacement and handed out to medical staff from 4 October 1999 onwards. The implementation of the flow chart focused on its endorsement by chief physicians and the development of a sense of “ownership” among physicians and nurses. Effects of change The proportion of patients receiving allogeneic blood decreased from 35.0% to 19.8% (absolute difference -15.2%, 95% confidence interval -23.3 to -7.0%). The percentage of patients donating and receiving autologous blood also decreased. This led to overall savings of about £23 000 ($42 470; €34 441) (£103.50 per patient undergoing total joint replacement). Differences became more pronounced after adjustment for confounding factors. Lessons learnt Allogeneic blood transfusions in primary hip and knee replacement surgery may be reduced cost effectively by implementing a one page flow chart. Five key elements may have contributed: simplicity; wide distribution; no requirement for major changes; endorsement by local opinion leaders; and development of a sense of ownership. These elements may be used in other contexts to achieve sustained change of clinical practice.
Cell-Locomotion-Based Agent Migration over Distributed Systems

This paper presents a middleware for multi-agents on a distributed system as a general test-bed for bio-inspired approaches. It is unique to other approaches, including distributed object systems, because it can maintain and migrate a dynamic federation of multiple agents on different computers. It enables each agent to explicitly define its own deployment policy as a relocation between itself and another agent. This paper describes a prototype implementation of the middleware and its practical applications to illustrate its utility and effectiveness in real distributed systems instead of using simulation-based evaluations
Minimal impact of an iron-fortified lipid-based nutrient supplement on Hb and iron status: a randomised controlled trial in malnourished HIV-positive African adults starting antiretroviral therapy

Anaemia, redistribution of Fe, malnutrition and heightened systemic inflammation during HIV infection confer an increased risk of morbidity and mortality in HIV patients. We analysed information on Fe status and inflammation from a randomised, double blind, controlled phase-III clinical trial in Lusaka, Zambia and Mwanza, Tanzania. Malnourished patients (n 1815) were recruited at referral to antiretroviral therapy (ART) into a two-stage nutritional rehabilitation programme, randomised to receive a lipid-based nutrient supplement with or without added micronutrients. Fe was included in the intervention arm during the second stage, given from 2 to 6 weeks post-ART. Hb, serum C-reactive protein (CRP), serum ferritin and soluble transferrin receptor (sTfR) were measured at recruitment and 6 weeks post-ART. Multivariable linear regression models were used to assess the impact of the intervention, and the effect of reducing inflammation from recruitment to week 6 on Hb and Fe status. There was no effect of the intervention on Hb, serum ferritin, sTfR or serum CRP. A one-log decrease of serum CRP from recruitment to week 6 was associated with a 1·81 g/l increase in Hb (95 % CI 0·85, 2·76; P< 0·001), and a 0·11 log decrease in serum ferritin (95 % CI − 0·22, 0·03; P= 0·012) from recruitment to week 6. There was no association between the change in serum CRP and the change in sTfR over the same time period (P= 0·78). In malnourished, HIV-infected adults receiving dietary Fe, a reduction in inflammation in the early ART treatment period appears to be a precondition for recovery from anaemia.
Angle and locus of the bend induced by the msp I DNA methyltransferase in a sequence-specific complex with DNA.

Bending of DNA induced by M.Msp I, one of the m5C-DNA methyltransferases, has been investigated using circular permutation analysis. The M.Msp I MTase induced sharp bends in DNA containing its recognition sequence 5'-CCGG-3'which was estimated to be 142+/-4 degrees and 132+/-4 degrees for circularly permuted DNA fragments of 127 and 1459 bp respectively. The bend centre was found to be asymmetric with respect to the CCGG sequence and appeared to exclude the 'target cytosine'. An estimate of approximately 15 kcal/mol was obtained for the free energy associated with M.Msp I-induced DNA bending.
Double Fusion Does Not Occur in Panum's Limiting Case: Evidence from Orientation Disparity

When two lines of different orientations are combined in regular stereograms, the orientation of the resulting line is different from those of the monocular lines. In this study we investigate the percept elicited by orientation disparity in Panum's limiting case. A variant of Panum's limiting case was designed to include orientation disparity. The single line in one half-image tilted leftwards. One of the double lines in the other half-image was parallel to the single line, while the other one tilted rightwards with obliquity one third that of the single line. In this stimulus configuration, if the single line in one half-image fuses with both lines in the other half-image at the same time, both of the two lines perceived after fusion should tilt leftwards. If double fusion does not happen, the two lines should tilt leftwards and rightwards respectively. The results of this study are in agreement with the latter prediction, which implies that double fusion does not occur in this variant of Panum's limiting case.
Large-scale Metabolomic Profiling Identifies Novel Biomarkers for Incident Coronary Heart Disease

Analyses of circulating metabolites in large prospective epidemiological studies could lead to improved prediction and better biological understanding of coronary heart disease (CHD). We performed a mass spectrometry-based non-targeted metabolomics study for association with incident CHD events in 1,028 individuals (131 events; 10 y. median follow-up) with validation in 1,670 individuals (282 events; 3.9 y. median follow-up). Four metabolites were replicated and independent of main cardiovascular risk factors [lysophosphatidylcholine 18∶1 (hazard ratio [HR] per standard deviation [SD] increment = 0.77, P-value<0.001), lysophosphatidylcholine 18∶2 (HR = 0.81, P-value<0.001), monoglyceride 18∶2 (MG 18∶2; HR = 1.18, P-value = 0.011) and sphingomyelin 28∶1 (HR = 0.85, P-value = 0.015)]. Together they contributed to moderate improvements in discrimination and re-classification in addition to traditional risk factors (C-statistic: 0.76 vs. 0.75; NRI: 9.2%). MG 18∶2 was associated with CHD independently of triglycerides. Lysophosphatidylcholines were negatively associated with body mass index, C-reactive protein and with less evidence of subclinical cardiovascular disease in additional 970 participants; a reverse pattern was observed for MG 18∶2. MG 18∶2 showed an enrichment (P-value = 0.002) of significant associations with CHD-associated SNPs (P-value = 1.2×10−7 for association with rs964184 in the ZNF259/APOA5 region) and a weak, but positive causal effect (odds ratio = 1.05 per SD increment in MG 18∶2, P-value = 0.05) on CHD, as suggested by Mendelian randomization analysis. In conclusion, we identified four lipid-related metabolites with evidence for clinical utility, as well as a causal role in CHD development.
FINE-TUNING ZEILBERGER ’ S ALGORITHM The Methods of Automatic Filtering and Creative Substituting

It is shown how the performance of Zeilberger’s algorithm and its q-version for proving (q-)hypergeometric summation identities can be dramatically improved by a frequently missed optimization on the programming level and by applying certain kinds of substitutions to the summand. These methods lead to computer proofs of identities for which all existing programs have failed so far.
Slide KWIC: Snippet Generation for Browsing Slides Based on Conceptual Relationship and Presentational Structure

Currently, several presentation files such as Slide Share and MPMeister are shared by many universities over the Web. These files are useful and valuable to students. However, such files have to be retrieved for self-learning purposes, and there is still a lack of support for self-learners browsing through slides containing information that might be irrelevant to their query. We describe a slide retrieval method involving the snippet generation of target slides, and we discuss how to present the retrieval results to users by considering what portions of the slides are relevant to a user query, on the basis of the relationships between slides. This method is based on (1) the keyword conceptual structure of the conceptual relationship that implicitly exists between keywords that are extracted from the slide text of the presentation content by Word Net and (2) the presentational structure of the indent levels in the slides. With our novel snippet-generation method, users can easily determine which slides to learn by browsing the relevant portions of the desired slides in the presentation and by focusing on portions from either detailed or generalized slides. We experimentally confirmed that our method enables the users to browse snippets of the retrieved slides efficiently and effectively.
Fully distributed robust singular value decomposition

Low-rank matrix approximation is an important tool in data mining with a wide range of applications including recommender systems, clustering, and identifying topics in documents. The problem we tackle is implementing singular value decomposition (SVD)-a popular method for low rank approximation in large fully distributed P2P systems in a robust and scalable manner. We assume that the matrix to be approximated is stored in a large network where each node knows one row of the matrix (personal attributes, documents, media ratings, etc). In our P2P model, we do not allow this personal information to leave the node, yet we want the nodes to collaboratively compute the SVD. Methods applied in large scale distributed systems such as synchronized parallel gradient search or distributed iterative methods are not preferable in our system model due to their requirements of synchronized rounds or their inherent issues with load balancing. Our approach overcomes these limitations with the help of a distributed stochastic gradient search in which the personal part of the decomposition remains local, and the global part (e.g., movie features) converges at all nodes to the correct value. We present a theoretical derivation of our algorithm, as well as a thorough experimental evaluation of real and synthetic data as well. We demonstrate that the convergence speed of our method is competitive while not relying on synchronization and being robust to extreme failure scenarios.