Miracle-dz/UniFAR-FTUs huggingface dataset:
A test of direct and partially mediated relationships between leader member exchange, job embeddedness, turnover intentions, and job search behaviors in a Southern police department

A TEST OF DIRECT AND PARTIALLY MEDIATED RELATIONSHPS BETWEEN LEADER MEMBER EXCHANGE, JOB EMBEDDEDNESS, TURNOVER INTENTIONS, AND JOB SEARCH BEHAVIORS IN A SOUTHERN POLICE DEPARTMNET Mark D. Bowman Old Dominion University, 2009 Director: Dr. William Leavitt Job embeddedness has been found to predict turnover intentions, job search behaviors and turnover, and job embeddedness researchers assert, but have not tested, that job embeddedness is a mediator of other organizationally significant factors relative to organizational outcomes. A relationship not previously explored is the role of a supervisor in job embeddedness, which was operationalized in this study as leadermember exchange. A single panel survey was conducted in a police department in the southern United States with 276 current members holding the rank of police officer. Usable surveys were completed by 128 of those police officers, which is a response rate of 46 percent. These surveys assessed the participant's perceptions of leader-member exchange, organizational job embeddedness, turnover intentions, and job search behaviors. The results indicated statistically significant positive correlations between leader-member exchange and the organizational job embeddedness, and significant negative correlations between leader-member exchange and turnover intentions, leadermember exchange and job search behaviors, organizational job embeddedness and turnover intentions, and organizational job embeddedness and job search behaviors. The literature suggested an a priori model in which the exogenous variable leader-member exchange directly affected organizational job embeddedness, which directly affected turnover intentions, which directly affected job search behaviors. In this a priori model the relationship between leader-member exchange and turnover intentions and job search behaviors was mediated by organizational job embeddedness. A measurement model, a saturated structural model, and 4 nested models were tested through structural equation modeling and each was found to be an acceptable fit to the data. There was no statistically significant difference between any of the models and the most parsimonious was accepted. In that model leader-member exchange had a direct positive effect on organizational job embeddedness, which in turn had a direct negative effect on turnover intentions, which in turn had a direct positive effect on job search behaviors. These findings support the proposition that having a good relationship with a supervisor improves the extent to which the employee is embedded in the organization and that embeddedness reduces turnover intentions which reduces job search behaviors. Co-Directors of Advisory Committee: Dr. John C. Morris Dr. Donald D. Davis
THE EXPRESSION AND LOCALIZATION OF LRF IN THE FEMALE REPRODUCTIVE TRACT OF CYCLING MICE THROUGHOUT THE ESTROUS CYCLE

In this article, the expression patterns of LRF in the mouse oviduct, uterus, and ovary were checked during estrous cycle. The expression of LRF mRNA and protein were remarkably changed in the ovary, oviduct, and uterus at four phases. LRF immunostaining was detected in the follicle from primary to antral follicle, luminal and glandular epithelial cells of the uterus, and cilia of the ciliated cells of the oviduct at all phase. Our findings suggested that LRF may be related to the processes of development and maturation of oocyte, gamete transport, and the development of early embryo.
Towards real world activity recognition from wearable devices

Supporting people in everyday life, be it lifestyle improvement or health care, requires the recognition of their activities. For that purpose, researches typically focus on wearable devices to recognize physical human activities like walking whereas smart environments are commonly the base for the recognition of activities of daily living. However, in many interesting scenarios the recognition of physical activities is often insufficient whereas most smart environment works are restricted to a specific area or one single person. Moreover, the recognition of outdoor activities of daily living gets significantly less attention. In our work, we focus on a real world activity recognition scenario, thus, practical application including environmental impact. In this context, we rely on wearable devices to recognize the physical activities but want to deduce the actual task, i.e., activity of daily living by relying on background and context related information using Markov logic as a probabilistic model. This should enable that the recognition is not restricted to a specific area and that even a smart environment could be more flexible concerning the number of sensors and people. Consequently, a more complete recognition of the daily routine is possible which in turn allows to perform behavior analyses.
Scenario-Based Execution Method for Massively Parallel Accelerators

The manycore architecture has become one of the choices in the acceleration method of massively parallel computation. It is an unavoidable option for the top supercomputers in the world in order to achieve the high performance computing applying accelerators such as the graphics processing unit (GPU). However such accelerators are equipped on the processing nodes where the CPU cores control the accelerators via the peripheral bus. Therefore, even if the accelerator implements a large amount of parallelism, the performance is inevitably degraded due to the data migration overheads for downloading the kernel program to the accelerator and transferring the I/O data consumed by the program. To avoid the overheads, it is important to pack many tasks in a single kernel and to invoke it for the smallest numbers of execution times of the kernel programs. However, it is very difficult to pack it because it is necessary to exchange the I/O data in recursive operations or among different computing contents. In order to address this problem, the kernel program must invoke many different contents of the program at a single execution of the kernel program. This paper proposes a novel execution mechanism for the accelerators that drastically improves the performance, called the scenario-based execution for the accelerators. It exploits the potential performance of the accelerators, and the application invokes all program contents on the accelerator side. This paper discusses the design and implementation of the scenario-based execution method, and also the performance aspect using a realistic application.
Comparing Tests Assessing Protein-Energy Wasting: Relation With Quality of Life.

OBJECTIVE Protein-energy wasting (PEW), a state of decreased bodily protein and energy fuels, is highly prevalent among hemodialysis patients. The best method to determine PEW, however, remains debated. As an independent, negative association between PEW and quality of life (QOL) has been demonstrated, establishing which nutrition-related test correlates best with QOL may help to identify how PEW should preferably be assessed. DESIGN AND METHODS Data were used from CONTRAST, a cohort of end-stage kidney disease patients. At baseline, Subjective Global Assessment (SGA), Malnutrition Inflammation Score (MIS), Geriatric Nutritional Risk Index, composite score on protein-energy nutritional status, normalized protein nitrogen appearance, body mass index, serum albumin, and serum creatinine were determined. QOL was assessed by the Kidney Disease Quality of Life Short Form 1.3. The present study reports on 2 general and 11 kidney disease-specific QOL scores. Spearman's rho (ρ) was calculated to determine correlations between nutrition-related tests and QOL domains. Twelve months after randomization, a sensitivity analysis was performed to test the robustness of the results. RESULTS Of 714 patients, 489 representative subjects were available for analysis. All tests correlated with the Physical Component Score, except body mass index. Only SGA and MIS correlated significantly with the Mental Component Score. SGA correlated significantly with 10 of 11 kidney disease-specific QOL domains. The MIS not only correlated significantly with all (11) kidney disease-specific QOL domains but also with higher correlation coefficients. CONCLUSION Of the 8 investigated nutrition-related tests, only MIS correlates with all QOL domains (13 of 13) with the strongest associations.
Students' Study Abroad Plans: the Influence of Motivational and Personality Factors

Improving the international competencies of university students is becoming an important goal for both nations and universities. On the country level, national security and globalization trends are “driving nations to place more importance on developing and recruiting human capital or brain power through international education initiatives” (Knight, 2004, p. 22). Universities also want their graduates to understand the global environment in which they will live and work. As Knight (2004) argues:
Paediatric essential thrombocythaemia: clinical and molecular features, diagnosis and treatment

The incidence of essential thrombocythaemia (ET) in children (age ≤18 years) is extremely low. The natural course of the disorder in children has not been clarified. The rarity of patients and the variability of tested parameters make it difficult to draw any definitive conclusion in pathogenesis and diagnosis of paediatric ET. What makes the onset of thrombocytosis earlier in children is still uncertain. A diagnostic algorithm for paediatric ET has not been established, and current risk stratification used to guide therapeutic decisions in adults has not been validated in children. Vascular complications and transformation to myelofibrosis and leukaemia in this special entity have been reported, suggesting that ET in children is not an entirely benign disease. The crucial question is how to identify patients who are at high risk of complications and need treatment. There are insufficient data to recommend a specific agent in children. The purpose of this review is to outline the most recent progress in paediatric ET and to help with understanding the clinical course, molecular features, diagnosis and treatment strategies in this special group.
Moderating Factors of Natural Mentoring Relationships, Problem Behaviors, and Emotional Well‐being

This study examines naturally occurring mentors by the quality and presence of a mentor (no mentor, low quality, high quality), type of mentors (adult mentors vs. peer mentors), and mentor quality within mentor type. A sub‐sample of adolescents from the National Longitudinal Study of Adolescent‐Health is used. Results indicate the effect of mentoring is dependent upon the quality and type of mentor and is different for different measured outcomes, as various characteristics of the mentoring process are associated with later problem behaviors and emotional affect in different ways. Specifically, high‐quality mentoring is significantly related to increasing self‐esteem, fewer alcohol problems and less depressed affect when compared to low‐quality mentors. Mentees with adult mentors are significantly lower in depressed affect and have fewer alcohol problems when compared to mentees with peer mentors. Implications for the use of mentoring with specifically at‐risk students are discussed to help improve positive youth development.
Thrombospondin Inhibits VEGF-Induced Endothelial Survival and Cell Cycle Progression

Thrombospondin (TSP) is an anti-angiogenic protein that inhibits vascular endothelial growth factor (VEGF)- induced endothelial cell growth and survival. We examined the intracellular mechanism(s) of the inhibition of VEGF- induced endothelial survival by TSP. We show that antibodies against the type I-, type II-, type-III repeats, carboxy terminal domain and N-terminal region of TSP blocked TSP-induced endothelial apoptosis. TSP promotes apoptosis by stimulating the release of cytochrome c from mitochondria and activating caspase-3 activity and cleavage of poly-ADP- ribose-polymerase (PARP). In addition, TSP inhibits VEGF-induced cell cycle progression in the G0/G1, S and G2/M phases of the cell cycle. The inhibitory effect of TSP on the cell cycle is accompanied by inhibition of cyclins A- and E- dependent kinase activity and prevention of the translocation of cell cycle regulatory proteins cyclins A and E to the nucleus. Furthermore, TSP upregulates the cell cycle regulatory phosphatases p21 CIP/WAF-1 and p27 KIP-1 . These results suggest that TSP stimulates apoptosis and cell cycle arrest by stimulating cytochrome c release and activation of caspase-3 activity; and inhibition of cell cycle regulatory checkpoints involving cyclin A and E dependent kinases that are in turn controlled by upregulation of p21 CIP/WAF-1 and p27 KIP-1 . Our data suggest the possibility that different domains of TSP are associated with the anti-angiogenic activity of TSP utilizing both endothelial apoptosis and cell cycle arrest.
Predicting Wave Nonresponse from Prior Wave Data Quality

This paper examines the effect of data quality items on subsequent wave nonresponse in a large, national telephone panel survey. The goal of this article is to identify covariates that predict panel nonresponse and generate logistic regression coefficients that could be used in propensity score modeling or nonresponse adjustment. Other covariates are considered, including call history variables and demographics.
Layer-wise training of deep networks using kernel similarity

Deep learning has shown promising results in many machine learning applications. The hierarchical feature representation built by deep networks enable compact and precise encoding of the data. A kernel analysis of the trained deep networks demonstrated that with deeper layers, more simple and more accurate data representations are obtained. In this paper, we propose an approach for layer-wise training of a deep network for the supervised classification task. A transformation matrix of each layer is obtained by solving an optimization aimed at a better representation where a subsequent layer builds its representation on the top of the features produced by a previous layer. We compared the performance of our approach with a DNN trained using back-propagation which has same architecture as ours. Experimental results on the real image datasets demonstrate efficacy of our approach. We also performed kernel analysis of layer representations to validate the claim of better feature encoding.
Eyewitness testimony by adults with Autism Spectrum Disorder

Eyewitness testimony is central to the criminal justice system, and may include that given by individuals with ASD. Despite the memory difficulties that are experienced by people with ASD, sparse research to date has examined the reliability of their testimony. This thesis presents a series of experiments that are aimed at exploring factors affecting eyewitness testimony in adults with ASD. Findings across five experiments suggest that individuals with ASD can recall as much and as accurately as their typical counterparts if they are interviewed appropriately. It seems that high-functioning ASD individuals at least are no more or less suggestible than their typical counterparts, and that both ASD and typical individuals modulate memory with arousal typically as demonstrated by their attenuated forgetting rates over time for arousing events compared to neutral events. However, a particularly pertinent finding from the present work was that the widely used police Cognitive Interview (CI) not only fails to increase the reporting of details by individuals with ASD, but it also significantly reduces their accuracy of recall. It seems that the main component of the CI - „context reinstatement‟ - is problematic for individuals with ASD, not because they fail to encode an event with its contextual details to start with, but because they have difficulty in following the CI‟s series of verbal instructions in order to retrieve this context to trigger their memory of the event. Findings indicate that recall by individuals with ASD can in fact be aided by more supportive context cues: when they physically return to the same environmental context in which they encoded the event their recall is enhanced to that of their typical counterparts. These findings have important implications for ascertaining the reliability of reports given by witnesses with ASD and highlight that, whilst the CI should not be used to interview them, there may be appropriate context-supportive interviewing techniques that can help to enhance their recall. A number of future research directions are highlighted by the present findings. These are discussed along with the implications and limitations of this work in the final chapter.
Learning Graphical Model Parameters with Approximate Marginal Inference

Likelihood-based learning of graphical models faces challenges of computational complexity and robustness to model misspecification. This paper studies methods that fit parameters directly to maximize a measure of the accuracy of predicted marginals, taking into account both model and inference approximations at training time. Experiments on imaging problems suggest marginalization-based learning performs better than likelihood-based approximations on difficult problems where the model being fit is approximate in nature.
Enforcing isolation and ordering in STM

Transactional memory provides a new concurrency control mechanism that avoids many of the pitfalls of lock-based synchronization. High-performance software transactional memory (STM) implementations thus far provide weak atomicity: Accessing shared data both inside and outside a transaction can result in unexpected, implementation-dependent behavior. To guarantee isolation and consistent ordering in such a system, programmers are expected to enclose all shared-memory accesses inside transactions. A system that provides strong atomicity guarantees isolation even in the presence of threads that access shared data outside transactions. A strongly-atomic system also orders transactions with conflicting non-transactional memory operations in a consistent manner. In this paper, we discuss some surprising pitfalls of weak atomicity, and we present an STM system that avoids these problems via strong atomicity. We demonstrate how to implement non-transactional data accesses via efficient read and write barriers, and we present compiler optimizations that further reduce the overheads of these barriers. We introduce a dynamic escape analysis that differentiates private and public data at runtime to make barriers cheaper and a static not-accessed-in-transaction analysis that removes many barriers completely. Our results on a set of Java programs show that strong atomicity can be implemented efficiently in a high-performance STM system.
FOR KANBAN-CONTROLLED PRODUCTION LINES USING QUEUEING NETWORKS AND GENETIC ALGORITHMS

One way to reduce costs in high volume production lines is to smooth and balance the material flow by means of controlled inventories. Kanban systems are now being implemented worldwide due to their ability of reducing inventories and production lead times. This paper addresses two fundamental design issues in kanban systems and presents an efficient heuristic method for designing such systems. An analytical technique for modelling kanban systems and a general-purpose genetic algorithm are integrated in a heuristic design methodology which evaluates the performance of kanban systems using alternative network partitions and allocations of kanbans. As we demonstrate, the heuristic method provides a useful procedure to evaluate the impact of design alternatives and can thus serve as a rough-cut decision support tool which assists managers in the planning of large-scale manufacturing systems.
A Kazal-Type Serine Protease Inhibitor from the Defense Gland Secretion of the Subterranean Termite Coptotermes formosanus Shiraki

Coptotermes formosanus is an imported, subterranean termite species with the largest economic impact in the United States. The frontal glands of the soldier caste termites comprising one third of the body mass, contain a secretion expelled through a foramen in defense. The small molecule composition of the frontal gland secretion is well-characterized, but the proteins remain to be identified. Herein is reported the structure and function of one of several proteins found in the termite defense gland secretion. TFP4 is a 6.9 kDa, non-classical group 1 Kazal-type serine protease inhibitor with activity towards chymotrypsin and elastase, but not trypsin. The 3-dimensional solution structure of TFP4 was solved with nuclear magnetic resonance spectroscopy, and represents the first structure from the taxonomic family, Rhinotermitidae. Based on the structure of TFP4, the protease inhibitor active loop (Cys8 to Cys16) was identified.
Machiavellianism, emotional intelligence and social competence: Are Machiavellians interpersonally skilled?

Machiavellians are usually associated with unusually high interpersonal skills which seem to be vital for effective manipulation of other people. However, the current research has not confirmed such an opinion. The aim of this study was to examine relations between Machiavellianism (Mach) and self-report emotional intelligence (EI as a trait), self-report social competences (SC) and recognizing emotions from facial expressions. Mach was negatively correlated with EI and SC overall result and with subscales of social competences in intimate situations (SC-I) and in situations requiring social exposure (SC-ES). There was no correlation between Mach and recognizing emotions and between Mach and social competences in situations requiring assertiveness (SC-A). Exploratory path analyses showed a direct negative association between Mach and EI, SC-I and SC-ES. Mach predicted indirectly (through mediation of EI) SC-I, SC-ES and SC-A.
Stanley Fields microarray Genome-wide identification of spliced introns using a tiling data

data Supplementary http://www.genome. org/cgi/content/full/gr.6049107/DC1 "Supplemental Research Data" P<P Published online March 9, 2007 in advance of the print journal. Open Access Freely available online through the Genome Research Open Access option. service Email alerting click here top right corner of the article or Receive free email alerts when new articles cite this article sign up in the box at the Notes