Showing papers by "Florida Atlantic University published in 2014"

Data mining with big data

Abstract: Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

The Situational Eight DIAMONDS: a taxonomy of major dimensions of situation characteristics.

Abstract: Taxonomies of person characteristics are well developed, whereas taxonomies of psychologically important situation characteristics are underdeveloped. A working model of situation perception implies the existence of taxonomizable dimensions of psychologically meaningful, important, and consequential situation characteristics tied to situation cues, goal affordances, and behavior. Such dimensions are developed and demonstrated in a multi-method set of 6 studies. First, the �Situational Eight DIAMONDS� dimensions Duty, Intellect, Adversity, Mating, pOsitivity, Negativity, Deception, and Sociality (Study 1) are established from the Riverside Situational Q-Sort (Sherman, Nave, & Funder, 2010, 2012, 2013; Wagerman & Funder, 2009). Second, their rater agreement (Study 2) and associations with situation cues and goal/trait affordances (Studies 3 and 4) are examined. Finally, the usefulness of these dimensions is demonstrated by examining their predictive power of behavior (Study 5), particularly vis-a-vis measures of personality and situations (Study 6). Together, we provide extensive and compelling evidence that the DIAMONDS taxonomy is useful for organizing major dimensions of situation characteristics. We discuss the DIAMONDS taxonomy in the context of previous taxonomic approaches and sketch future research directions. (PsycINFO Database Record (c) 2014 APA, all rights reserved)

A review of data mining using big data in health informatics

Abstract: The amount of data produced within Health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. In addition, this information can improve the quality of healthcare offered to patients. However, there are a number of issues that arise when dealing with these vast quantities of data, especially how to analyze this data in a reliable manner. The basic goal of Health Informatics is to take in real world medical data from all levels of human existence to help advance our understanding of medicine and medical practice. This paper will present recent research using Big Data tools and approaches for the analysis of Health Informatics data gathered at multiple levels, including the molecular, tissue, patient, and population levels. In addition to gathering data at multiple levels, multiple levels of questions are addressed: human-scale biology, clinical-scale, and epidemic-scale. We will also analyze and examine possible future work for each of these areas, as well as how combining data from each level may provide the most promising approach to gain the most knowledge in Health Informatics.

Swimming in a Sea of Shame: Incorporating Emotion into Explanations of Institutional Reproduction and Change

Abstract: We theorize the role in institutional processes of what we call the “shame nexus,” a set of shame-related constructs: felt shame, systemic shame, sense of shame, and episodic shaming. As a discrete emotion, felt shame signals to a person that a social bond is at risk, and it catalyzes a fundamental motivation to preserve valued bonds. Systemic shame we conceptualize as a form of disciplinary power, animated by persons' sense of shame—a mechanism of ongoing intersubjective surveillance and self-regulation. We theorize how the duo of systemic shame and sense of shame drives the self-regulation that underpins persons' conformity to institutional prescriptions and institutional reproduction. We conceptualize episodic shaming as a form of juridical power used by institutional guardians to elicit renewed conformity and reassert institutional prescriptions, and also explain how episodic shaming may have unintended effects, including institutional disruption and recreation, when it triggers sensemaking among targ...

Reduced dietary salt for the prevention of cardiovascular disease

Abstract: Background An earlier Cochrane review of dietary advice identified insufficient evidence to assess effects of reduced salt intake on mortality or cardiovascular events. Objectives 1. To assess the long term effects of interventions aimed at reducing dietary salt on mortality and cardiovascular morbidity. 2. To investigate whether blood pressure reduction is an explanatory factor in any effect of such dietary interventions on mortality and cardiovascular outcomes. Search methods The Cochrane Library (CENTRAL, Health Technology Assessment (HTA) and Database of Abstracts of Reviews of Effect (DARE)), MEDLINE, EMBASE, CINAHL and PsycInfo were searched through to October 2008. References of included studies and reviews were also checked. No language restrictions were applied. Selection criteria Trials fulfilled the following criteria: (1) randomised with follow up of at least six-months, (2) intervention was reduced dietary salt (restricted salt dietary intervention or advice to reduce salt intake), (3) adults, (4) mortality or cardiovascular morbidity data was available. Two reviewers independently assessed whether studies met these criteria. Data collection and analysis Data extraction and study validity were compiled by a single reviewer, and checked by a second. Authors were contacted where possible to obtain missing information. Events were extracted and relative risks (RRs) and 95% CIs calculated. Main results Six studies (including 6,489 participants) met the inclusion criteria - three in normotensives (n=3518), two in hypertensives (n=758), and one in a mixed population of normo- and hypertensives (n=1981) with end of trial follow-up of seven to 36 months and longest observational follow up (after trial end) to 12.7 yrs. Relative risks for all cause mortality in normotensives (end of trial RR 0.67, 95% CI: 0.40 to 1.12, 60 deaths; longest follow up RR 0.90, 95% CI: 0.58 to 1.40, 79 deaths) and hypertensives (end of trial RR 0.97, 95% CI: 0.83 to 1.13, 513 deaths; longest follow up RR 0.96, 95% CI; 0.83 to 1.11, 565 deaths) showed no strong evidence of any effect of salt reduction. Cardiovascular morbidity in people with normal blood pressure (longest follow-up RR 0.71, 95% CI: 0.42 to 1.20, 200 events) or raised blood pressure at baseline (end of trial RR 0.84, 95% CI: 0.57 to 1.23, 93 events) also showed no strong evidence of benefit. We found no information on participants health-related quality of life. Authors' conclusions Despite collating more event data than previous systematic reviews of randomised controlled trials (665 deaths in some 6,250 participants), there is still insufficient power to exclude clinically important effects of reduced dietary salt on mortality or cardiovascular morbidity in normotensive or hypertensive populations. Our estimates of benefits from dietary salt restriction are consistent with the predicted small effects on clinical events attributable to the small blood pressure reduction achieved.

Bag Constrained Structure Pattern Mining for Multi-Graph Classification

Abstract: This paper formulates a multi-graph learning task. In our problem setting, a bag contains a number of graphs and a class label. A bag is labeled positive if at least one graph in the bag is positive, and negative otherwise. In addition, the genuine label of each graph in a positive bag is unknown, and all graphs in a negative bag are negative. The aim of multi-graph learning is to build a learning model from a number of labeled training bags to predict previously unseen test bags with maximum accuracy. This problem setting is essentially different from existing multi-instance learning (MIL), where instances in MIL share well-defined feature values, but no features are available to represent graphs in a multi-graph bag. To solve the problem, we propose a Multi-Graph Feature based Learning (gMGFL) algorithm that explores and selects a set of discriminative subgraphs as features to transfer each bag into a single instance, with the bag label being propagated to the transferred instance. As a result, the multi-graph bags form a labeled training instance set, so generic learning algorithms, such as decision trees, can be used to derive learning models for multi-graph classification. Experiments and comparisons on real-world multi-graph tasks demonstrate the algorithm performance.

Governmental Venture Capital for Innovative Young Firms

Abstract: Governments around the world have set up Governmental Venture Capital (GVC) funds, and are increasingly doing so, with the aims of fostering the development of a private venture capital industry and to alleviate the equity capital gap of young innovative firms. The rationale and the appropriateness of these programs is controversial. In this paper, we borrow from the recent literature on entrepreneurial finance to document the evolution and to compare the effects of the different types of governmental support. In contrast with a lack of success in some countries, there have been successful GVC initiatives, such as the Australian Innovation Investment Fund. Consequently, the proper design of the investment processes of GVC funds is an urgent topic for scholars and policy makers.

Laser altimetry reveals complex pattern of Greenland Ice Sheet dynamics.

Abstract: We present a new record of ice thickness change, reconstructed at nearly 100,000 sites on the Greenland Ice Sheet (GrIS) from laser altimetry measurements spanning the period 1993–2012, partitioned into changes due to surface mass balance (SMB) and ice dynamics. We estimate a mean annual GrIS mass loss of 243 ± 18 Gt⋅y−1, equivalent to 0.68 mm⋅y−1 sea level rise (SLR) for 2003–2009. Dynamic thinning contributed 48%, with the largest rates occurring in 2004–2006, followed by a gradual decrease balanced by accelerating SMB loss. The spatial pattern of dynamic mass loss changed over this time as dynamic thinning rapidly decreased in southeast Greenland but slowly increased in the southwest, north, and northeast regions. Most outlet glaciers have been thinning during the last two decades, interrupted by episodes of decreasing thinning or even thickening. Dynamics of the major outlet glaciers dominated the mass loss from larger drainage basins, and simultaneous changes over distances up to 500 km are detected, indicating climate control. However, the intricate spatiotemporal pattern of dynamic thickness change suggests that, regardless of the forcing responsible for initial glacier acceleration and thinning, the response of individual glaciers is modulated by local conditions. Recent projections of dynamic contributions from the entire GrIS to SLR have been based on the extrapolation of four major outlet glaciers. Considering the observed complexity, we question how well these four glaciers represent all of Greenland’s outlet glaciers.

The Continuing Importance of Political Ties in China

Abstract: Our paper is a starting point for further discussions on the value of political ties in China, their evolutionary trajectory along the process of globalization, and their influence in explaining variability in differentiated performance metrics. We hope that our work will provide an impetus for additions and extensions that view convergence and divergence as two interrelated and mutually dependent constructs. Ignoring one or the other might generate an incomplete view of the effects of globalization.

First satellite tracks of neonate sea turtles redefine the ‘lost years’ oceanic niche

Abstract: Few at-sea behavioural data exist for oceanic-stage neonate sea turtles, a life-stage commonly referred to as the sea turtle ‘lost years’. Historically, the long-term tracking of small, fast-growing organisms in the open ocean was logistically or technologically impossible. Here, we provide the first long-term satellite tracks of neonate sea turtles. Loggerheads (Caretta caretta) were remotely tracked in the Atlantic Ocean using small solar-powered satellite transmitters. We show that oceanic-stage turtles (i) rarely travel in Continental Shelf waters, (ii) frequently depart the currents associated with the North Atlantic Subtropical Gyre, (iii) travel quickly when in Gyre currents, and (iv) select sea surface habitats that are likely to provide a thermal benefit or refuge to young sea turtles, supporting growth, foraging and survival. Our satellite tracks help define Atlantic loggerhead nursery grounds and early loggerhead habitat use, allowing us to re-examine sea turtle ‘lost years’ paradigms.

Older sibling influences on the language environment and language development of toddlers in bilingual homes

Abstract: Two separate studies examined older siblings' influence on the language exposure and language development of U.S.-born toddlers who were being raised in bilingual homes. The participants in Study 1 were 60 children between 16 and 30 months who had heard English and another language at home from birth; 26 had older siblings and 34 did not. The participants in Study 2 were 27 children, assessed at 22 and 30 months, who had heard English and Spanish from birth; 14 had school aged older siblings and 13 did not. Both studies found that older siblings used English more in talking to the toddlers than did other household members and that toddlers with older siblings were more advanced in English language development. Study 2 also found that the presence of a school aged older sibling increased mothers' use of English with their toddlers and that toddlers without a school aged older sibling were more advanced in Spanish than the toddlers with a school aged older sibling. These findings contribute to a picture of the complex processes that shape language use in bilingual homes and cause variability in young children's bilingual development.

No oxygen? No problem! Intrinsic brain tolerance to hypoxia in vertebrates.

Abstract: Many vertebrates are challenged by either chronic or acute episodes of low oxygen availability in their natural environments. Brain function is especially vulnerable to the effects of hypoxia and can be irreversibly impaired by even brief periods of low oxygen supply. This review describes recent research on physiological mechanisms that have evolved in certain vertebrate species to cope with brain hypoxia. Four model systems are considered: freshwater turtles that can survive for months trapped in frozen-over lakes, arctic ground squirrels that respire at extremely low rates during winter hibernation, seals and whales that undertake breath-hold dives lasting minutes to hours, and naked mole-rats that live in crowded burrows completely underground for their entire lives. These species exhibit remarkable specializations of brain physiology that adapt them for acute or chronic episodes of hypoxia. These specializations may be reactive in nature, involving modifications to the catastrophic sequelae of oxygen deprivation that occur in non-tolerant species, or preparatory in nature, preventing the activation of those sequelae altogether. Better understanding of the mechanisms used by these hypoxia-tolerant vertebrates will increase appreciation of how nervous systems are adapted for life in specific ecological niches as well as inform advances in therapy for neurological conditions such as stroke and epilepsy.

Online experiences: flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry.

Abstract: The past decade has perceived a significant development of various Internet technologies including HTML5, Ajax, landing pages, CSS3, social media and SEO to name a few. New web technologies provide opportunities for e-commerce companies to enhance the shopping experiences of their customers. This article focuses the phenomenon of online experiences from a services marketing aspect by concentrating online hotel booking. Successful lodging management strategies have been associated with the creation of experience, which in turn leads to fruitful performance outcomes such as superior financial performance, enhanced brand image, customer loyalty, positive word of mouth and customer satisfaction. E-commerce researchers and practitioners also focus on the phenomenon of online customer experiences. Plentiful of previous studies investigated the precursors and consequences of positive online customer experiences by utilizing various marketing and Information Systems theories, and it was found that online customer experience has numerous positive outcomes for e-commerce companies. This study analyses the previous studies on customer experiences by utilizing flow theory and develops a conceptual framework of customer experiences. Later it proposes and tests a measurement model for online customer experiences. Our findings indicate that for successful e-commerce practices, online shoppers need to reach a state of mind where they engage with the website with total involvement, concentration and enjoyment. The traditional approaches to attract customers in brick-and-mortar commerce are not applicable in online contexts. Therefore, interaction, participation, co-creation, immersion, engagement and emotional hooks are important in e-commerce. Managerial and theoretical implications of positive online customer experiences were discussed.

The ABC's of Teaching Social Skills to Adolescents with Autism Spectrum Disorder in the Classroom: The UCLA "PEERS®" Program.

Abstract: Social skills training is a common treatment method for adolescents with autism spectrum disorder (ASD), yet very few evidence-based interventions exist to improve social skills for high-functioning adolescents on the spectrum, and even fewer studies have examined the effectiveness of teaching social skills in the classroom. This study examines change in social functioning for adolescents with high-functioning ASD following the implementation of a school-based, teacher-facilitated social skills intervention known as Program for the Education and Enrichment of Relational Skills (PEERS ® ). Seventy-three middle school students with ASD along with their parents and teachers participated in the study. Participants were assigned to the PEERS ® treatment condition or an alternative social skills curriculum. Instruction was provided daily by classroom teachers and teacher aides for 14-weeks. Results reveal that in comparison to an active treatment control group, participants in the PEERS ® treatment group significantly improved in social functioning in the areas of teacher-reported social responsiveness, social communication, social motivation, social awareness, and decreased autistic mannerisms, with a trend toward improved social cognition on the Social Responsiveness Scale. Adolescent self-reports indicate significant improvement in social skills knowledge and frequency of hosted and invited get-togethers with friends, and parent-reports suggest a decrease in teen social anxiety on the Social Anxiety Scale at a trend level. This research represents one of the few teacher-facilitated treatment intervention studies demonstrating effectiveness in improving the social skills of adolescents with ASD in the classroom: arguably the most natural social setting of all.

Taurine and central nervous system disorders

Abstract: In the present era, investigators seek to find therapeutic interventions that are multifaceted in their mode of action. Such targets provide the most advantageous routes for addressing the multiplicity of pathophysiological avenues that lead to neuronal dysfunction and death observed in neurological disorders and neurodegenerative diseases. Taurine, an endogenous amino acid, exhibits a plethora of physiological functions in the central nervous system. In this review, we describe the mode of action of taurine and its clinical application in the neurological diseases: Alzheimer's disease, Parkinson's disease and Huntington's disease.

Flipping the Learning: An Investigation into the use of the Flipped Classroom Model in an Introductory Teaching Course

Abstract: With a classroom full of millennial learners, it is essential that teacher educators adjust their pedagogy to meet their students' needs. This study explores the use of a flipped classroom model to engage preservice teachers in an Introduction to the Teaching Profession course. In addition, it explores the need for teacher education coursework to model innovative teaching strategies, such as flipped classrooms, in an effort to prepare preservice teachers for future students. Results indicated that students displayed a higher level of reflection and inquiry in their coursework and a greater number of instructional strategies were modelled within the course.

Does the External Monitoring Effect of Financial Analysts Deter Corporate Fraud in China

Abstract: We examine whether analyst coverage influences corporate fraud in China. The fraud triangle specifies three main factors, i.e. opportunity, incentive, and rationalization. On the one hand, analysts may reduce the fraud opportunity factor through external monitoring aimed at discouraging managerial misconduct, which can moderate agency problems. On the other hand, analysts may increase the fraud incentive factor by pressurizing managers to achieve short-term performance targets, which can exacerbate agency problem. In either case, the potential influence of analysts on the fraud rationalization factor may be more pronounced among firms that are more dependent on the capital market for corporate finance. Using a sample of Chinese listed firms, we show a negative association between corporate fraud propensity and analyst coverage, and that this effect is more pronounced among non-state-owned enterprises (NSOEs), which are more reliant on the stock market for external funding. These findings suggest that analyst coverage contributes to corporate fraud deterrence in emerging economies characterized by weak investor protection. The main policy implication is that further development of the analyst profession in emerging economies may benefit investors and strengthen business ethics.

Hysteresis affects approximate number discrimination in young children.

Abstract: Perceptual decisions are often affected not only by the evidence gathered during a trial but also by the history of preceding trials. This effect—termed perceptual hysteresis—provides evidence for how perceptual information is represented and how it is used. The present research focuses on how the difficulty of preceding trials affects subsequent ones—we find that how well 5-year-old children perform in a 2-alternative forced-choice numerical discrimination task depends on whether they have had a prior history of easier discriminations or a prior history of harder discriminations. Furthermore, this effect is modulated by the feedback children receive. In 3 experiments, we demonstrate that these effects are not related to practice or loss of interest due to negative feedback, or simply to trial difficulty or discriminability. Instead, children appear to have state-dependent confidence states such that prolonged experience making low-confidence decisions degrades performance, whereas prolonged experience making high-confidence decisions improves it. These results are discussed in the context of dynamical psychophysics, representations of confidence, and work on children’s and adults’ number perception abilities.

Mergers of binary neutron stars with realistic spin

Abstract: Simulations of binary neutron stars have seen great advances in terms of physical detail and numerical quality. However, the spin of the neutron stars, one of the simplest global parameters of binaries, remains mostly unstudied. We present the first fully nonlinear general relativistic dynamical evolutions of the last three orbits for constraint-satisfying initial data of spinning neutron star binaries, with astrophysically realistic spins aligned and antialigned to the orbital angular momentum. The initial data are computed with the constant rotational velocity approach. The dynamics of the systems is analyzed in terms of gauge-invariant binding energy vs orbital angular momentum curves. By comparing to a binary black hole configuration, we can estimate the different tidal and spin contributions to the binding energy for the first time. First results on the gravitational waveforms are presented. The phase evolution during the orbital motion is significantly affected by spin-orbit interactions, leading to delayed or early mergers. Furthermore, a frequency shift in the main emission mode of the hypermassive neutron star is observed. Our results suggest that a detailed modeling of merger waveforms requires the inclusion of spin, even for the moderate magnitudes observed in binary neutron star systems.

Discrete systems behave as nonlocal structural elements: Bending, buckling and vibration analysis

Abstract: It is shown herein that the bending, buckling and vibration problems of a microstructured beam can be modeled by Eringen's nonlocal elasticity model. The microstructured model is composed of rigid periodic elements elastically connected by rotational springs. It is shown that this discrete system is the finite difference formulation of a continuous problem, i.e. the Euler-Bernoulli beam problem. Starting from the discrete equations, a continualization method leads to the formulation of an Eringen's type nonlocal equivalent continuum. The sensitivity phenomenon of the apparent nonlocal length scale with respect to the bending, the vibrations and the buckling analyses is investigated in more detail. A unified length scale can be used for the microstructured-based model with both nonlocal constitutive law and nonlocal governing equations. The Finite Difference Method is used for studying the exact discrete problem and leads to tractable engineering formula. The bending behaviour of the microstructured cantilever beam does not reveal any scale effect in the presence of concentrated loads. This scale invariance is not a deficiency of Eringen's nonlocality because it is in fact supported by the exact discreteness of the microstructured beam. A comparison of the discrete and the continuous problems (for both static and dynamics analyses) show the efficiency of the nonlocal-based modelling for capturing scale effects. As it has already been shown for buckling or vibrations studies, small scale effects tend to soften the material in this case.

Relationship Between the Risk of Suffering a First-Time Noncontact ACL Injury and Geometry of the Femoral Notch and ACL A Prospective Cohort Study With a Nested Case-Control Analysis

Abstract: Background:The morphometric characteristics of the anterior cruciate ligament (ACL) and the femoral intercondylar notch within which it resides have been implicated as risk factors for injuries to this important stabilizer of the knee. Prior research has produced equivocal results with differing methodologies, and consequently, it is unclear how these characteristics affect the injury risk in male and female patients.Hypothesis:The morphometric characteristics of the ACL and femoral intercondylar notch are individually and independently associated with the risk of suffering a noncontact ACL injury, and these relationships are different in male and female patients.Study Design:Case-control study; Level of evidence, 3.Methods:Magnetic resonance imaging scans of the bilateral knees were obtained on 88 case-control pairs (27 male, 61 female) matched for age, sex, and participation on the same sports team. Patients had suffered a grade III, first-time, noncontact ACL tear. The femoral notch width at 4 location...