Miracle-dz/UniFAR-FTUs huggingface dataset:
Motivational Profiles and Stages of Exercise Behavior Change

The present study examined the relationship between exercise motivational profi les and stages of exercise behavior change. Four hundred and eighty-six Japanese adults participated in this study. In the fi rst analysis, a cluster analysis identifi ed four meaningful clusters in exercise motivational profi les. The fi rst cluster was labeled the 'self-determined motivation profi le' as the participants in this cluster had relatively high levels of intrinsic motivation and identifi ed regulation. The second was the 'moderate motivation profi le' with moderate scores on all measured motivational variables. The third was the 'nonself-determined motivation profi le' as subjects in this group demonstrated higher nonself-determined motivation than self-determined motivation. The last cluster was the 'amotivation profi le', which consisted of participants who had the highest scores in amotivation, and the lowest scores in intrinsic motivation and identifi ed regulation. The second analysis explored how motivational profi les are related to stages of exercise behavior change. Participants in the fi rst cluster were most likely to be classifi ed in the maintenance stage. The results from this study provided the foundation for successful strategies to develop exercise adherence in adults focusing on motivational profi les.
Human Neuroscience Original Research Article Rapid Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal Cortex

Flexible, adaptive behavior is thought to rely on abstract rule representations within lateral prefrontal cortex (LPFC), yet it remains unclear how these representations provide such flexibility. We recently demonstrated that humans can learn complex novel tasks in seconds. Here we hypothesized that this impressive mental flexibility may be possible due to rapid transfer of practiced rule representations within LPFC to novel task contexts. We tested this hypothesis using functional MRI and multivariate pattern analysis, classifying LPFC activity patterns across 64 tasks. Classifiers trained to identify abstract rules based on practiced task activity patterns successfully generalized to novel tasks. This suggests humans can transfer practiced rule representations within LPFC to rapidly learn new tasks, facilitating cognitive performance in novel circumstances.
Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review

Measuring joint range of motion is an important skill for many allied health professionals. While the Universal Goniometer is the most commonly utilised clinical tool for measuring joint range of motion, the evolution of smartphone technology and applications (apps) provides the clinician with more measurement options. However, the reliability and validity of these smartphones and apps is still somewhat uncertain. The aim of this study was to systematically review the literature regarding the intra- and inter-rater reliability and validity of smartphones and apps to measure joint range of motion. Eligible studies were published in English peer-reviewed journals with full text available, involving the assessment of reliability and/or validity of a non-videographic smartphone app to measure joint range of motion in participants >18 years old. An electronic search using PubMed, Medline via Ovid, EMBASE, CINAHL, and SPORTSDiscus was performed. The risk of bias was assessed using a standardised appraisal tool. Twenty-three of the eligible 25 studies exceeded the minimum 60% score to be classified as a low risk of bias, although 3 of the 13 criteria were not achieved in >50% of the studies. Most of the studies demonstrated adequate intra-rater or inter-rater reliability and/or validity for >50% of the range of motion tests across all joints assessed. However, this level of evidence appeared weaker for absolute (e.g. mean difference ± limit of agreement, minimal detectable change) than relative (e.g. intraclass correlation, correlation) measures; and for spinal rotation than spinal extension, flexion and lateral flexion. Our results provide clinicians with sufficient evidence to support the use of smartphones and apps in place of goniometers to measure joint motion. Future research should address some methodological limitations of the literature, especially including the inclusion of absolute and not just relative reliability and validity statistics.
Variability of the American Monsoon Systems (G3)

The word monsoon is derived from an Arabian word referring to season: it was the term used by sailors to describe the seasonal reversal of the winds over the Arabian Sea. It is now applied to low latitude regions that experience pronounced changes in the low-level circulation and precipitation regimes that result from the seasonal cycle of heating associated with the reversal of the temperature gradient between continents and oceans.
Prevalence and Correlates of the Co-Occurrence of Family Violence: A Meta-Analysis on Family Polyvictimization

Objective: The aims of this study are to (a) provide reliable estimates of prevalence rates of family polyvictimization by synthesizing the findings from the existing literature, (b) examine the effect sizes of the impact of one type of family victimization on other types of family victimization, and (c) investigate the correlates of family polyvictimization. Method: Databases of literature published on or before April 2018 were searched. A total of 59 publications met the inclusion criteria and were included in the analysis for the combined odds ratios (ORs) to estimate the associations among different types of family victimization; 38 of them (99,956 participants) were used for the calculation of the combined prevalence rates of family polyvictimization. Findings: The overall co-occurrence rates of family victimization were 9.7% among the general population and 36.0% among the clinical population. The combined OR of other type(s) of victimization when one was present was 6.01 (p < .001). Longitudinal studies show that, when a family reported intimate partner violence, the odds of child abuse and neglect within the same family at a later stage was 3.64 (p < .001). Depression and post-traumatic stress disorder were two significant correlates associated with family polyvictimization. Conclusion: Family polyvictimization is prevalent across the world. The high co-occurrence rates and strong associations between different types of victimization on different family members warrant the need for the early detection of victims and effective preventions and interventions using a family approach, instead of treating victims from the same family individually.
Personalized Concept-Based Clustering of Search Engine Queries

The exponential growth of information on the Web has introduced new challenges for building effective search engines. A major problem of Web search is that search queries are usually short and ambiguous, and thus are insufficient for specifying the precise user needs. To alleviate this problem, some search engines suggest terms that are semantically related to the submitted queries so that users can choose from the suggestions the ones that reflect their information needs. In this paper, we introduce an effective approach that captures the user's conceptual preferences in order to provide personalized query suggestions. We achieve this goal with two new strategies. First, we develop online techniques that extract concepts from the Web-snippets of the search result returned from a query and use the concepts to identify related queries for that query. Second, we propose a new two-phase personalized agglomerative clustering algorithm that is able to generate personalized query clusters. To the best of the authors' knowledge, no previous work has addressed personalization for query suggestions. To evaluate the effectiveness of our technique, a Google middleware was developed for collecting clickthrough data to conduct experimental evaluation. Experimental results show that our approach has better precision and recall than the existing query clustering methods.
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software

This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high fault probability. The system under consideration is constantly evolving as several releases a year are shipped to customers. Developers usually have limited resources for their testing and inspections and would like to be able to devote extra resources to faulty system parts. The main research focus of this paper is two-fold: (1) use and compare many data mining and machine learning techniques to build fault-proneness models based mostly on source code measures and change/fault history data, and (2) demonstrate that the usual classification evaluation criteria based on confusion matrices may not be fully appropriate to compare and evaluate models.
Arterial Levels of Oxygen Stimulate Intimal Hyperplasia in Human Saphenous Veins via a ROS-Dependent Mechanism

Saphenous veins used as arterial grafts are exposed to arterial levels of oxygen partial pressure (pO2), which are much greater than what they experience in their native environment. The object of this study is to determine the impact of exposing human saphenous veins to arterial pO2. Saphenous veins and left internal mammary arteries from consenting patients undergoing coronary artery bypass grafting were cultured ex vivo for 2 weeks in the presence of arterial or venous pO2 using an established organ culture model. Saphenous veins cultured with arterial pO2 developed intimal hyperplasia as evidenced by 2.8-fold greater intimal area and 5.8-fold increase in cell proliferation compared to those freshly isolated. Saphenous veins cultured at venous pO2 or internal mammary arteries cultured at arterial pO2 did not develop intimal hyperplasia. Intimal hyperplasia was accompanied by two markers of elevated reactive oxygen species (ROS): increased dihydroethidium associated fluorescence (4-fold, p<0.05) and increased levels of the lipid peroxidation product, 4-hydroxynonenal (10-fold, p<0.05). A functional role of the increased ROS saphenous veins exposed to arterial pO2 is suggested by the observation that chronic exposure to tiron, a ROS scavenger, during the two-week culture period, blocked intimal hyperplasia. Electron paramagnetic resonance based oximetry revealed that the pO2 in the wall of the vessel tracked that of the atmosphere with a ~30 mmHg offset, thus the cells in the vessel wall were directly exposed to variations in pO2. Monolayer cultures of smooth muscle cells isolated from saphenous veins exhibited increased proliferation when exposed to arterial pO2 relative to those cultured at venous pO2. This increased proliferation was blocked by tiron. Taken together, these data suggest that exposure of human SV to arterial pO2 stimulates IH via a ROS-dependent pathway.
Assortative mating for relatedness in a large naturally occurring population of Drosophila melanogaster

New theoretical work on kin selection and inclusive fitness benefits predicts that individuals will sometimes choose close or intermediate relatives as mates to maximize their fitness. However, empirical examples supporting such predictions are rare. In this study, we look for such evidence in a natural population of Drosophila melanogaster. We compared mating and nonmating individuals to test whether mating was nonrandom with respect to relatedness. Consistent with optimal inbreeding, males were more closely related to their mate than to randomly sampled females. However, all individuals collected mating showed higher relatedness and males were not significantly more related to their mate than to other mating females. We also found a negative relationship between relatedness and fecundity. Our results are consistent with the hypothesis that inclusive fitness benefits may drive inbreeding tolerance despite direct costs to fitness; however, an experimental approach is needed to investigate the link between mate preference and relatedness.
Dominated splitting and zero volume for incompressible three flows

We prove that there exists an open and dense subset of the incompressible 3-flows of class C2 such that, if a flow in this set has a positive volume regular invariant subset with dominated splitting for the linear Poincaré flow, then it must be an Anosov flow. With this result we are able to extend the dichotomies of Bochi–Mañé (see Bessa 2007 Ergod. Theory Dyn. Syst. 27 1445–72, Bochi 2002 Ergod. Theory Dyn. Syst. 22 1667–96, Mañé 1996 Int. Conf. on Dynamical Systems (Montevideo, Uruguay, 1995) (Harlow: Longman) pp 110–9) and of Newhouse (see Newhouse 1977 Am. J. Math. 99 1061–87, Bessa and Duarte 2007 Dyn. Syst. Int. J. submitted Preprint 0709.0700) for flows with singularities. That is, we obtain for a residual subset of the C1 incompressible flows on 3-manifolds that: (i) either all Lyapunov exponents are zero or the flow is Anosov and (ii) either the flow is Anosov or else the elliptic periodic points are dense in the manifold.
A comparative review of dimension reduction methods in approximate Bayesian computation

Approximate Bayesian computation (ABC) methods make use of comparisons between simulated and observed summary statistics to overcome the problem of computationally intractable likelihood functions. As the practical implementation of ABC requires computations based on vectors of summary statistics, rather than full data sets, a central question is how to derive low-dimensional summary statistics from the observed data with minimal loss of information. In this article we provide a comprehensive review and comparison of the performance of the principal methods of dimension reduction proposed in the ABC literature. The methods are split into three nonmutually exclusive classes consisting of best subset selection methods, projection techniques and regularization. In addition, we introduce two new methods of dimension reduction. The first is a best subset selection method based on Akaike and Bayesian information criteria, and the second uses ridge regression as a regularization procedure. We illustrate the performance of these dimension reduction techniques through the analysis of three challenging models and data sets.
What predicts who we approach for social support? Tests of the attachment figure and strong ties hypotheses.

Before people seek support for an issue, they must choose whom in their support network to approach. Two prominent supporter-selection hypotheses are the attachment figure hypothesis and the strong ties hypothesis, housed in psychology and sociology, respectively. People are expected to have a special preference for attachment figures and also for strong ties and to seek them more frequently than others. Despite the widespread acceptance of these hypotheses, neither has ever been tested, we argue, with the most appropriate methods for their claims. Moreover, no one has ever tested whether the 2 theories might not be independent, that is, whether one might subsume the other. To properly test the theories, one requires intranetwork, enacted support-seeking data, and the theories must be modeled not just separately but also simultaneously. The present article reports 3 such studies. In Studies 1 and 3, a sample of adults reported their supporter-selection decisions for a single stressful event, and in Study 2, a sample of emerging adults reported their supporter-selection decisions for a period of 2 weeks. Evidence showed that each theory uniquely predicted supporter-selection decisions. For each theory the data revealed both expected and unexpected findings. Attachment figures were selectively sought for support, but this preference did not get stronger as issues became more severe. Stronger ties were selected more often than weaker ties; however, the strong tie effect emerged as 2 independent effects rather than one (closeness and interaction frequency). Taken together, the studies supported both theories, but also suggest the need for further theoretical development. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
A study of the knowledge base requirements for passing an elementary science test

Our long-term interest is in machines that contain large amounts of general and scientific knowledge, stored in a "computable" form that supports reasoning and explanation. As a medium-term focus for this, our goal is to have the computer pass a fourth-grade science test, anticipating that much of the required knowledge will need to be acquired semi-automatically. This paper presents the first step towards this goal, namely a blueprint of the knowledge requirements for an early science exam, and a brief description of the resources, methods, and challenges involved in the semi-automatic acquisition of that knowledge. The result of our analysis suggests that as well as fact extraction from text and statistically driven rule extraction, three other styles of automatic knowledge base construction (AKBC) would be useful: acquiring definitional knowledge, direct 'reading' of rules from texts that state them, and, given a particular representational framework (e.g., qualitative reasoning), acquisition of specific instances of those models from text (e.g, specific qualitative models).
Learning Efficacy and Cost-Effectiveness of Print versus e-Book Instructional Material in an Introductory Financial Accounting Course.

This article describes the concurrent development of paper-based and e-book versions of a textbook and related instructional material used in an introductory-level financial accounting course. Break-even analysis is used to compare costs of the two media. A study conducted with 109 students is also used to evaluate the two media with respect to relative learning effectiveness and selected qualitative attributes. Print-based material was generally preferred by learners. No significant difference was found regarding learning effectiveness. Implications of lower relative production and distributions costs for e-books are discussed in this context.
The Stellar Population of the Chamaeleon I Star-forming Region

I present a new census of the stellar population in the Chamaeleon I star-forming region. Using optical and near-IR photometry and follow-up spectroscopy, I have discovered 50 new members of Chamaeleon I, expanding the census of known members to 226 objects. Fourteen of these new members have spectral types later than M6, which doubles the number of known members that are likely to be substellar. I have estimated extinctions, luminosities, and effective temperatures for the known members, used these data to construct an H-R diagram for the cluster, and inferred individual masses and ages with the theoretical evolutionary models of Baraffe and Chabrier. The distribution of isochronal ages indicates that star formation began 3-4 and 5-6 Myr ago in the southern and northern subclusters, respectively, and has continued to the present time at a declining rate. The IMF in Chamaeleon I reaches a maximum at a mass of 0.1-0.15 M☉ and thus closely resembles the IMFs in IC 348 and the Orion Nebula Cluster. In logarithmic units where the Salpeter slope is 1.35, the IMF is roughly flat in the substellar regime and shows no indication of reaching a minimum down to a completeness limit of 0.01 M☉. The low-mass stars are more widely distributed than members at other masses in the northern subcluster, but this is not the case in the southern subcluster. Meanwhile, the brown dwarfs have the same spatial distribution as the stars out to a radius of 3° (8.5 pc) from the center of Chamaeleon I.
Mice with missense and nonsense NF1 mutations display divergent phenotypes compared with human neurofibromatosis type I

ABSTRACT Neurofibromatosis type 1 (NF1) is a common genetic disorder characterized by the occurrence of nerve sheath tumors and considerable clinical heterogeneity. Some translational studies have been limited by the lack of animal models available for assessing patient-specific mutations. In order to test therapeutic approaches that might restore function to the mutated gene or gene product, we developed mice harboring NF1 patient-specific mutations including a nonsense mutation (c.2041C>T; p.Arg681*) and a missense mutation (c.2542G>C; p.Gly848Arg). The latter is associated with the development of multiple plexiform neurofibromas along spinal nerve roots. We demonstrate that the human nonsense NF1Arg681* and missense NF1Gly848Arg mutations have different effects on neurofibromin expression in the mouse and each recapitulates unique aspects of the NF1 phenotype, depending upon the genetic context when assessed in the homozygous state or when paired with a conditional knockout allele. Whereas the missense Nf1Gly848Arg mutation fails to produce an overt phenotype in the mouse, animals homozygous for the nonsense Nf1Arg681* mutation are not viable. Mice with one Nf1Arg681* allele in combination with a conditional floxed Nf1 allele and the DhhCre transgene (Nf14F/Arg681*; DhhCre) display disorganized nonmyelinating axons and neurofibromas along the spinal column, which leads to compression of the spinal cord and paralysis. This model will be valuable for preclinical testing of novel nonsense suppression therapies using drugs to target in-frame point mutations that create premature termination codons in individuals with NF1. Summary: Two mouse models carrying NF1 patient-specific mutations have distinct effects on embryonic development, neurofibromin function and plexiform neurofibroma formation, with implications for therapeutic studies.
C4d immunohistochemical stain of formalin‐fixed paraffin‐embedded tissue as a sensitive method in the diagnosis of bullous pemphigoid

Bullous pemphigoid (BP) is the most common type of subepidermal bullous disease. Direct immunofluorescence (DIF) is the gold standard for diagnosis, but it requires a fresh tissue specimen. This study was conducted to evaluate the accuracy of using immunohistochemical (IHC) analysis for the detection of C4d in paraffin‐embedded tissue of BP cases.
Use of MALDI-TOF MS for Identification of Nontuberculous Mycobacterium Species Isolated from Clinical Specimens

The aim of this study was to compare the results obtained for identification by MALDI-TOF of nontuberculous mycobacteria (NTM) isolated in clinical samples with those obtained by GenoType Mycobacterium CM/AS (common mycobacteria/additional species). A total of 66 Mycobacterium isolates from various clinical specimens (mainly respiratory) were tested in this study. They were identified using MALDI-TOF Bruker from strains isolated in Lowenstein, following the recommended protocol of heat inactivation and extraction, and were simultaneously analyzed through hybridization by GenoType Mycobacterium from liquid culture MGIT. Our results showed that identification by MALDI-TOF was correct in 98.4% (65/66) of NTM isolated in our clinical practice (M. avium, M. intracellulare, M. abscessus, M. chelonae, M. fortuitum, M. mucogenicum, M. kansasii, and M. scrofulaceum). MALDI-TOF was found to be an accurate, rapid, and cost-effective system for identification of mycobacteria species.