Miracle-dz/UniFAR-FTUs huggingface dataset:
Influences on and Measures of Unintentional Group Synchrony

Many instances of large-scale coordination occur in real-life social situations without the explicit awareness of the individuals involved. While the majority of research to date has examined dyadic interactions – those between two individuals – during intentional or deliberate coordination, the present review surveys the handful of recent studies investigating behavioral and physiological synchrony across groups of more than two people when coordination was not an explicit goal. Both minimal (e.g., visual information, shared location) and naturalistic (e.g., choir voice section, family relationship) group interactions appear to promote unintentional group synchrony although they have so far only been studied separately. State differences in unintentional group synchrony, or the relative presence of coordination in various conditions, have tended to be assessed differently, such as using correlation-type relationships, compared to its temporal dynamics, or changes over time in the degree of coordination, which appear to be best captured using phase differences. Simultaneously evaluating behavioral, physiological, and social responses as well systematically comparing different synchrony measures could further our understanding of the influences on and measures of group synchrony, allowing us to move away from studying individual persons responding to static laboratory stimuli and toward investigating collective experiences in natural, dynamic social interactions.
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation

It is well known that at low-bit-rate block discrete cosine transform compressed image exhibits visually annoying blocking and ringing artifacts. In this paper, we propose a noniterative, wavelet-based deblocking algorithm to reduce both types of artifacts. The algorithm exploits the fact that block discontinuities are constrained by the dc quantization interval of the quantization table, as well as the behavior of wavelet modulus maxima evolution across wavelet scales to derive appropriate threshold maps at different wavelet scales. Since ringing artifacts occur near strong edges, which can be located either along block boundaries or within blocks, suppression of block discontinuities does not always reduce ringing artifacts. By exploiting the behavior of ringing artifacts in the wavelet domain, we propose a simple yet effective method for the suppression of such artifacts. The proposed algorithm can suppress both block discontinuities and ringing artifacts effectively while preserving true edges and textural information. Simulation results and extensive comparative study with both iterative and noniterative methods reported in the literature have shown the effectiveness of our algorithm.
Blocked Time-Step Algorithm for Accelerating k-Means and Fuzzy c-Means

The k-means and fuzzy c-means algorithm are widely used for discovering clusters in data. In this paper, we propose a new acceleration method using blocked time step algorithm. It reduces the number of distance calculations efficiently by changing the frequency of updating membership grades (searching the nearest cluster centers). By restricted time step with the discrete number as a power of two, distance for the objective function will be calculated only synchronized objects at the blocked time. As a results, the experiments show the proposed algorithm reduces distance calculations by 20 -- 60% while keeping the clustering accuracy.
Diversity of sand flies ( Diptera , Psychodidae ) in southwest Iran with emphasis on synanthropy of Phlebotomus papatasi and P . alexandri

Zoonotic Cutaneous Leishmaniasis (ZCL) is still a serious health problem in Iran. The objective of the study was to determine the differences in sand fly biodiversity in Shush (plain) and Khorramshahr (littoral) Counties, Khuzestan Province, southwest Iran. Sand flies were collected using sticky paper traps from urban, semi urban, agricultural and natural ecotypes. Alpha and beta diversity were calculated using Shannon–Weiner index and Jaccard’s and Sorensen’s coefficients, respectively. Synanthropic index was determined for the first time for Phlebotomus papatasi and Phlebotomus alexandri in different land use categories in Iran. Totally 11213 specimens, 68.47% in Shush and 31.53% in Khorramshahr, were collected. Eleven species of sand flies including, 2 of genus Phlebotomus and 9 of genus Sergentomyia were identified. Sergentomyia christophersi was found as a new record. Dominant species were P. papatasi and Sergentomyia sintoni. Shannon–Weiner index, richness and evenness in semi urban area of Shush County were more than other habitats. The analysis of biodiversity showed that agricultural ecosystem of Khorramshahr County had the highest diversity due to maximal richness and diversity and also relatively high evenness. Comparison of similarity of the sand flies population composition between Shush and Khorramshahr indicated the maximum similarity between the urban area of Shush and the semi urban area of Khorramshahr (Sj = 75% and Ss = 86%). Synanthropic index of P. papatasi and P. alexandri were calculated to be −83.34 and −91.18, respectively in Shush County. Estimated synanthropic indices for P. papatasi and P. alexandri in three habitats (natural, semi urban and urban) habitats of Khorramshahr County were −69.84 and −85.89, in the same order. The factors for having high diversity of sand flies in the plain area studied may be due to higher annual precipitation, the related land use and land cover. The changes on ies a 30 the composition of sand fl
Electrospray Ionization Tandem Mass Spectrometry (Esi-Ms/Ms) Analysis of the Lipid Molecular Species Composition of Yeast Subcellular Membranes Reveals Acyl Chain-Based Sorting/Remodeling of Distinct Molecular Species En Route to the Plasma Membrane

Nano-electrospray ionization tandem mass spectrometry (nano-ESI-MS/MS) was employed to determine qualitative differences in the lipid molecular species composition of a comprehensive set of organellar membranes, isolated from a single culture of Saccharomyces cerevisiae cells. Remarkable differences in the acyl chain composition of biosynthetically related phospholipid classes were observed. Acyl chain saturation was lowest in phosphatidylcholine (15.4%) and phosphatidylethanolamine (PE; 16.2%), followed by phosphatidylserine (PS; 29.4%), and highest in phosphatidylinositol (53.1%). The lipid molecular species profiles of the various membranes were generally similar, with a deviation from a calculated average profile of ∼± 20%. Nevertheless, clear distinctions between the molecular species profiles of different membranes were observed, suggesting that lipid sorting mechanisms are operating at the level of individual molecular species to maintain the specific lipid composition of a given membrane. Most notably, the plasma membrane is enriched in saturated species of PS and PE. The nature of the sorting mechanism that determines the lipid composition of the plasma membrane was investigated further. The accumulation of monounsaturated species of PS at the expense of diunsaturated species in the plasma membrane of wild-type cells was reversed in elo3Δ mutant cells, which synthesize C24 fatty acid-substituted sphingolipids instead of the normal C26 fatty acid-substituted species. This observation suggests that acyl chain-based sorting and/or remodeling mechanisms are operating to maintain the specific lipid molecular species composition of the yeast plasma membrane.
Stability of Self-Assembled Polymeric Micelles in Serum

The stability of polymeric nanoparticles in serum is critical to their use in drug delivery where dilution after intravenous injection often results in nanoparticle disassembly and drug unloading; however, few investigate this in biologically relevant media. To gain greater insight into nanoparticle stability in blood, the stability of self-assembled polymeric micelles of poly(d,l-lactide-co-2-methyl-2-carboxytrimethylene carbonate)-g-poly(ethylene glycol), P(LA-co-TMCC)-g-PEG, were tested in both serum and individual serum protein solutions. By encapsulating Förster resonance energy transfer pairs and following their release by fluorescence, these micelles demonstrated excellent thermodynamic and kinetic stability in the presence of serum. Further analyses by fast protein liquid chromatography and dynamic light scattering confirmed these data. Moreover, these micelles are compatible with red blood cells, as shown by a hemolysis assay. The stability and compatibility demonstrated in blood suggest that these micelles may be stable in vivo, which is critical for intravenous drug delivery applications. This comprehensive approach to understanding micelle stability and compatibility is broadly applicable.
Correlation between Expression of S100A4 and VEGF-C, and Lymph Node Metastasis and Prognosis in Gastric Carcinoma

This semiquantitative immunohistochemical study investigated the clinical significance of S100A4 and vascular endothelial growth factor C (VEGF-C) protein expression in gastric carcinoma. Correlations between S100A4 and VEGF-C immunoreactivity and clinicopathological characteristics were evaluated using 108 gastric carcinoma specimens and 20 specimens of tissue adjacent to gastric carcinoma. S100A4 and VEGF-C expression in carcinoma was higher than that in adjacent tissues. S100A4 expression was significantly related to tumour size and lymph node metastasis, whereas VEGF-C expression was associated with invasion depth, lymph node metastasis and tumour, node, metastasis (TNM) stage. A significant correlation was found between S100A4 and VEGF-C expression. Patients expressing S100A4 or VEGF-C showed no significant reduction in 5-year survival rate compared with those not expressing these proteins. Sex, age, tumour size, invasion depth, lymph node involvement, TNM stage, S100A4 expression and VEGF-C expression had a common effect on carcinoma prognosis but none was an independent prognostic factor.
An optimal step size relative gradient based joint diagonalization algorithm

This paper addresses the problem of the non unitary joint diagonalization of a given set of complex matrices. We focus on gradient based algorithms. A new algorithm based on a relative gradient approach is suggested. Its algorithmic complexity is established and the optimal stepsize is calculated algebraically at each iteration to decrease the number of iterations required to reach the convergence while discarding the often difficult stepsize choice problem. Computer simulations are provided to illustrate the behavior of this algorithm in different contexts. It is also compared with other existing joint diagonalization algorithms.
Sport, development and aid: can sport make a difference?

It is the ability to combine sport with other social forces such as education that has facilitated an increased profile for sport with international aid and humanitarian organizations. This article recognizes the role that sport has to play in the field of international development, the promise and possibilities brought about by presidential elections in the United States of America and the distinct poverty traps that some countries continue to face. The lack of growth in those countries that make up the bottom billion of the world's poorest people requires particular strategies for particular circumstances and it is open to question as to whether sport can bring about change or be a resource of hope. Improving life chances requires a coordinated effort and as such any contribution that sport can make must also build upon a wider coalition of sustained support in order to narrow the gap between rich and poor. In a substantive way this article, drawing upon international evidence, notes the potential of education through sport to help with influencing life chances, if not levels of poverty, in the world today.
Ensemble climate predictions using climate models and observational constraints

Two different approaches are described for constraining climate predictions based on observations of past climate change. The first uses large ensembles of simulations from computationally efficient models and the second uses small ensembles from state-of-the-art coupled ocean–atmosphere general circulation models. Each approach is described and the advantages of each are discussed. When compared, the two approaches are shown to give consistent ranges for future temperature changes. The consistency of these results, when obtained using independent techniques, demonstrates that past observed climate changes provide robust constraints on probable future climate changes. Such probabilistic predictions are useful for communities seeking to adapt to future change as well as providing important information for devising strategies for mitigating climate change.
Toward an Analytical Model of Ethical Decision Making in Plagiarism

Plagiarism by students is a common and worldwide phenomenon with a significant impact on our society. Numerous studies on the pervasive nature of plagiarism among students have focused on the behavioral aspects of plagiarism and how to prevent it. Based on an empirical study of a sample of 463 eighth graders in Hong Kong, this article offers an analytical model to understand the ethical decision-making process in plagiarism among students. Using this model, students' plagiaristic behavior can be analyzed in terms of their moral judgment, moral intensity, and perceived risks.
Does NBPTS Certification Affect the Number of Colleagues a Teacher Helps With Instructional Matters?

In addition to identifying and developing superior classroom teaching, the National Board for Professional Teaching Standards (NBPTS) certification process is intended to identify and cultivate teachers who are more engaged in their schools. Here the authors ask, “Does NBPTS certification affect the number of colleagues a teacher helps with instructional matters? ” If so, this could enhance the influence of NBPTS-certified teachers and their contributions to their professional communities. Using sociometric data within 47 elementary schools from two states, the authors find that NBPTS-certified teachers were nominated more as providing help with instruction than non-NBPTS-certified teachers. From analyses using propensity score weighting, the authors then infer that NBPTS certification affects the number of colleagues a teacher helps with instructional matters. The authors then quantify the robustness of their inference in terms of internal and external validity, finding, for example, that any omitted confounding variable would have to have an impact six times larger than that of their strongest covariate to invalidate their inference. Therefore, the potential value added by NBPTS-certified teachers as help providers has policy and practice implications in an era when teacher leadership has risen to the fore as a critical force for school improvement.
Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Assessment of Antiangiogenic Treatment Effects in Multiple Myeloma

Purpose: To noninvasively assess bone marrow microcirculation before and after therapy in patients with newly diagnosed multiple myeloma with dynamic contrast-enhanced MRI (DCE-MRI). Experimental Design: Ninety-six patients received DCE-MRI before and after primary treatment for newly diagnosed multiple myeloma. For the 91 evaluable patients, treatment consisted of high-dose therapy (HDT) with autologous stem cell transplantation (ASCT) in 82 patients and chemotherapy without ASCT in 9 patients. In addition, 33 healthy volunteers were imaged as the control group. Analysis of DCE-MRI was performed according to the two-compartment model by Brix to quantify amplitude A (associated with blood volume) and exchange rate constant kep (reflecting vessel permeability and perfusion). Results: Nonresponders showed significantly higher A-values before the start of therapy compared with responders (P = 0.02). In both responders and nonresponders to therapy, A-values dropped significantly (P = 0.004 and <0.001, respectively) after primary therapy, whereas lower values for kep were found only in responders (P < 0.001). Depth of remission was significantly correlated to decreased bone marrow microcirculation: Patients in near complete response (nCR) or complete remission (CR) after treatment showed significantly lower values for A compared with patients not achieving nCR+CR. The application of HDT or novel agents had no significant effect on DCE-MRI parameters after therapy, although patients treated with novel agents more often achieved nCR+CR (42%/12.5%; P < 0.002). Higher kep-values at second MRI were positively correlated to shorter overall survival (HR 3.53; 95% confidence intervals, 1.21–10.33; P = 0.02). Conclusion: Parameters from DCE-MRI are correlated to remission after primary therapy and outcome in newly diagnosed multiple myeloma. Clin Cancer Res; 21(1); 106–12. ©2014 AACR.
Barriers reconsidered, friendlier still!

Read and write barriers mediate access to the heap allowing the collector to control and monitor mutator actions. For this reason, barriers are a powerful tool in the design of any heap management algorithm, but the prevailing wisdom is that they impose significant costs. However, changes in hardware and workloads make these costs a moving target. Here, we measure the cost of a range of useful barriers on a range of modern hardware and workloads. We confirm some old results and overturn others. We evaluate the microarchitectural sensitivity of barrier performance and the differences among benchmark suites. We also consider barriers in context, focusing on their behavior when used in combination, and investigate a known pathology and evaluate solutions. Our results show that read and write barriers have average overheads as low as 5.4% and 0.9% respectively. We find that barrier overheads are more exposed on the workload provided by the modern DaCapo benchmarks than on old SPECjvm98 benchmarks. Moreover, there are differences in barrier behavior between in-order and out-of- order machines, and their respective memory subsystems, which indicate different barrier choices for different platforms. These changing costs mean that algorithm designers need to reconsider their design choices and the nature of their resulting algorithms in order to exploit the opportunities presented by modern hardware.
Optimization for iterative queries on MapReduce

We propose OptIQ, a query optimization approach for iterative queries in distributed environment. OptIQ removes redundant computations among different iterations by extending the traditional techniques of view materialization and incremental view evaluation. First, OptIQ decomposes iterative queries into invariant and variant views, and materializes the former view. Redundant computations are removed by reusing the materialized view among iterations. Second, OptIQ incrementally evaluates the variant view, so that redundant computations are removed by skipping the evaluation on converged tuples in the variant view. We verify the effectiveness of OptIQ through the queries of PageRank and k-means clustering on real datasets. The results show that OptIQ achieves high efficiency, up to five times faster than is possible without removing the redundant computations among iterations.
Validation of the Greek Version of the "Job Stress Measure"

The aim of the present study is the validation of the “Job Stress Measure” in the Greek population. “Job Stress Measure” along with ASSET scale was finally distributed to 238 individuals, working in public and private organizations. The Cronbach’s alpha coefficient of the “Job Stress Measure scale” was found to be 0.868. Three main circumstantial factors explain the 55% of the variance of the phenomenon: a) characteristics of work, b) clarity of objectives and c) without specific concept. The study showed positive correlation between stress and workload, job insecurity and difficulties in working relationships, physical and mental condition, communication and beliefs about work. Conclusively the “Job Stress Measure” can be used as a reliable validated tool for measuring job stress in the Greek population.
Increasing Parent Limits on Novice Young Drivers

This report describes intervention effects on parent-imposed driving limits on novice young drivers at licensure. Parent-adolescent dyads (4,344) completed baseline surveys at permit and were randomly assigned to intervention or comparison groups. Intervention families received persuasive communications related to protection motivation theory variables including threat appraisal regarding high-risk adolescent driving and coping appraisal regarding restrictions on high-risk driving conditions during the early months of adolescent licensure. Comparison families received standard information on driving, vehicles, and road safety. Among the 4,344 families, 3,786 adolescents obtained licenses, and 3,398 parent-adolescent dyads completed surveys at licensure. Significant treatment group differences favoring the Checkpoints Program were found at licensure for driving limits, perceived risk, expected limits, and outcome expectations. Perceived risk and outcome expectations partially mediated and expected limits fully mediated treatment effects. The results provide evidence that persuasive materials can alter threat and coping appraisal and expectations, thereby increasing parent-imposed driving limits at licensure.
Adding In Silico Assessment of Potential Splice Aberration to the Integrated Evaluation of BRCA Gene Unclassified Variants

Clinical mutation screening of the cancer susceptibility genes BRCA1 and BRCA2 generates many unclassified variants (UVs). Most of these UVs are either rare missense substitutions or nucleotide substitutions near the splice junctions of the protein coding exons. Previously, we developed a quantitative method for evaluation of BRCA gene UVs—the “integrated evaluation”—that combines a sequence analysis‐based prior probability of pathogenicity with patient and/or tumor observational data to arrive at a posterior probability of pathogenicity. One limitation of the sequence analysis‐based prior has been that it evaluates UVs from the perspective of missense substitution severity but not probability to disrupt normal mRNA splicing. Here, we calibrated output from the splice‐site fitness program MaxEntScan to generate spliceogenicity‐based prior probabilities of pathogenicity for BRCA gene variants; these range from 0.97 for variants with high probability to damage a donor or acceptor to 0.02 for exonic variants that do not impact a splice junction and are unlikely to create a de novo donor. We created a database http://priors.hci. utah.edu/PRIORS/ that provides the combined missense substitution severity and spliceogenicity‐based probability of pathogenicity for BRCA gene single‐nucleotide substitutions. We also updated the BRCA gene Ex‐UV LOVD, available at http://hci‐exlovd.hci. utah.edu, with 77 re‐evaluable variants.