Miracle-dz/UniFAR-FTUs huggingface dataset:
Why and When Empowering Leadership Has Different Effects on Employee Work Performance: The Pivotal Roles of Passion for Work and Role Breadth Self-Efficacy

Drawing on the dualistic model of passion, the present study examines why and when empowering leadership has different effects on employee work performance including both task performance and creative performance. Field survey data from 69 teams and 266 employees revealed that empowering leadership had a positive indirect relationship with employee work performance via harmonious passion for work and a negative indirect relationship with employee work performance via obsessive passion for work. Moreover, individual role breadth self-efficacy was found to moderate the relationships of empowering leadership with employees’ two types of passion for work, thereby affecting the relationship between empowering leadership and employee work performance. Moderation analyses revealed that empowering leadership was more likely to increase employee work performance when employees have high rather than low levels of role breadth self-efficacy. Theoretical and practical implications of the findings were discussed.
Learning to name objects

We have seen remarkable recent progress in computational visual recognition, producing systems that can classify objects into thousands of different categories with increasing accuracy. However, one question that has received relatively less attention is "what labels should recognition systems output? " This paper looks at the problem of predicting category labels that mimic how human observers would name objects. This goal is related to the concept of entry-level categories first introduced by psychologists in the 1970s and 1980s. We extend these seminal ideas to study human naming at large scale and to learn computational models for predicting entry-level categories. Practical applications of this work include improving human-focused computer vision applications such as automatically generating a natural language description for an image or text-based image search.
A CNGB1 Frameshift Mutation in Papillon and Phalène Dogs with Progressive Retinal Atrophy

Progressive retinal degenerations are the most common causes of complete blindness both in human and in dogs. Canine progressive retinal atrophy (PRA) or degeneration resembles human retinitis pigmentosa (RP) and is characterized by a progressive loss of rod photoreceptor cells followed by a loss of cone function. The primary clinical signs are detected as vision impairment in a dim light. Although several genes have been associated with PRAs, there are still PRAs of unknown genetic cause in many breeds, including Papillons and Phalènes. We have performed a genome wide association and linkage studies in cohort of 6 affected Papillons and Phalènes and 14 healthy control dogs to map a novel PRA locus on canine chromosome 2, with a 1.9 Mb shared homozygous region in the affected dogs. Parallel exome sequencing of a trio identified an indel mutation, including a 1-bp deletion, followed by a 6-bp insertion in the CNGB1 gene. This mutation causes a frameshift and premature stop codon leading to probable nonsense mediated decay (NMD) of the CNGB1 mRNA. The mutation segregated with the disease and was confirmed in a larger cohort of 145 Papillons and Phalènes (PFisher = 1.4×10−8) with a carrier frequency of 17.2 %. This breed specific mutation was not present in 334 healthy dogs from 10 other breeds or 121 PRA affected dogs from 44 other breeds. CNGB1 is important for the photoreceptor cell function its defects have been previously associated with retinal degeneration in both human and mouse. Our study indicates that a frameshift mutation in CNGB1 is a cause of PRA in Papillons and Phalènes and establishes the breed as a large functional animal model for further characterization of retinal CNGB1 biology and possible retinal gene therapy trials. This study enables also the development of a genetic test for breeding purposes.
The k-Nearest Neighbor Algorithm Using MapReduce Paradigm

Data in any form is a valuable resource but more often than not data collected in the real world is completely random and unstructured. Hence, to utilize the true potential of data as a resource we must transform it in such a manner so as to retrieve meaningful information from it. Data mining fulfills this need. Today there is not only a need for efficient data mining techniques to process large volume of data but also a need for a means to meet the computational requirements to process such huge volume of data. In this paper we implement an effective data mining technique known as the k-Nearest Neighbor method on a distributed computing environment running Apache Hadoop that uses the MapReduce paradigm to process high volume data.
Assessment of Emotional Intelligence in Pediatric and Med-Peds Residents

Objective The purpose of this study was to determine the baseline emotional intelligence (EI) scores of Pediatric and Med-Peds Residents and to identify components of emotional intelligence that were high or low. Methods Residents from Pediatrics and Med-Peds residency programs at a university-based training program volunteered to complete an online self-report EI survey (EQ-i 2.0) in May 2015. A summary EI score report was generated for each resident by a consulting firm. De-identified score reports were compared between programs and by year of training. Results All pediatric and med-peds residents completed the survey (N=47). The median score for the group as a whole for overall emotional intelligence was higher than the national average and considered to be in the high range (110). The highest median subcomponent scores were in Impulse Control (114) and Empathy (113) and the lowest subcomponent scores were in Independence (101) and Assertiveness (102). No difference was seen between pediatric residents and medicine-pediatric residents in their total EI scores or the various components. Residents in their early years of training (PGY 1-2) compared to later years of training (PGY 3-4) showed significant differences in the component of Assertiveness (100 vs 109, p=0.002) and Empathy (115.5 vs 110, p=0.03). Conclusions As a group, Pediatric and Med-Peds residents scored lowest in areas of independence and assertiveness. While assertiveness scores improved with added years of training, empathy scores decreased. In order to improve the overall level of emotional intelligence of Pediatric and Med-Peds residents, educational interventions should focus on the areas of independence, assertiveness, and empathy.
Cogset vs. Hadoop: Measurements and Analysis

Cog set is an efficient and generic engine for reliable storage and parallel processing of data. It supports a number of high-level programming interfaces, including a MapReduce interface compatible with Hadoop. In this paper, we evaluate Cogset’s performance as a MapReduce engine, comparing it to Hadoop. Our results show that Cog set generally outperforms Hadoop by a significant margin. We investigate the causes of this gap in performance and demonstrate some relatively minor modifications that markedly improveHadoop’s performance, closing some of the gap.
Non-Data-Aided Feedforward Carrier Frequency Offset Estimators for QAM Constellations: A Nonlinear Least-Squares Approach

This paper performs a comprehensive performance analysis of a family of non-data-aided feedforward carrier frequency offset estimators for QAM signals transmitted through AWGN channels in the presence of unknown timing error. The proposed carrier frequency offset estimators are asymptotically (large sample) nonlinear least-squares estimators obtained by exploiting the fourth-order conjugate cyclostationary statistics of the received signal and exhibit fast convergence rates (asymptotic variances on the order of, where stands for the number of samples). The exact asymptotic performance of these estimators is established and analyzed as a function of the received signal sampling frequency, signal-to-noise ratio, timing delay, and number of symbols. It is shown that in the presence of intersymbol interference effects, the performance of the frequency offset estimators can be improved significantly by oversampling (or fractionally sampling) the received signal. Finally, simulation results are presented to corroborate the theoretical performance analysis, and comparisons with the modified Cramér-Rao bound illustrate the superior performance of the proposed nonlinear least-squares carrier frequency offset estimators.
Professional Development at a Distance

Abstract This paper uses a mixed-method approach to examine the efficacy of a 5-week distance learning model that offered 2-credit courses for K–12 inservice teachers as a form of professional development. This study examined the experiences of the inservice teachers across online professional development courses and analyzed participant surveys from this population to gain a better sense of satisfaction, learning, and quality of interactions related to the online professional development. The findings speak to the value of establishing a sense of “presence” online, the impact of online teacher professional development on the active classroom, and features that contribute to the enhancement of professional development online.
Genetic and environmental influences on personality: A study of twins reared together using the self- and peer-report NEO-FFI scales.

ABSTRACT Previous behavior-genetic research on personality has been almost exclusively based on self-report questionnaire measures. The purpose of this research was to measure personality constructs via self- and peer reports on the items of the NEO Five-Factor Inventory (Costa & McCrae, 1989). The sample included 660 monozygotic and 200 same sex and 104 opposite sex dizygotic twin pairs. We collected self- and two independent peer reports for each of the twins. Our analysis of self-report data replicates earlier findings of a substantial genetic influence on the Big Five (h2= .42 to .56). We also found this influence for peer reports. Our results validate findings based solely on self-reports. However, estimates of genetic contributions to phenotypic variance were substantially higher when based on peer reports (h2= .51 to .81) or self- and peer reports (h2= .66 to .79) because these data allowed us to separate error variance from variance due to nonshared environmental in-fluences. Correlations between self- and peer reports reflected the same genetic influences to a much higher extent than identical environmental effects.
Improved Evidence Theoretic kNN Classifier based on Theory of Evidence

The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes overlap in some regions in the feature space. In the past, many researchers have developed various methods to improve its performance. In this paper, we propose an improved evidence theoretic kNN algorithm which combines Dempster Shafer theory of evidence and k nearest neighbouring rule with distance metric based neighborhood. It is shown that the proposed algorithm significantly improves the performance of the k-nearest neighbor rule. In experiments this algorithm performed better than voting, distance weighted and extended k nearest neighbours algorithms with best k, and it achieved highest performance when number of neighbours considered is seven.
Submillimeter Observations of the Young Low-Mass Object IRAS 04158+2805

We present high spatial resolution Submillimeter Array observations and supplementary single-dish photometry of the molecular gas and dust around IRAS 04158+2805, a young source with spectral type M5-M6 in the Taurus star-forming region. A bright, highly elongated dust structure that extends 8″ (~1120 AU) in diameter is revealed in a 883 μm thermal continuum image. This emission geometry is in good agreement with optical observations that show a similar structure in absorption, aligned perpendicular to bipolar scattered light nebulae. However, the interferometric data also clearly demonstrate that the submillimeter continuum emission is not centrally concentrated, but rather appears to have a toroidal geometry with substantially lower intensities inside a radius of ~250-300 AU. Spatially resolved emission from the CO J = 3–2 transition exhibits a velocity gradient along the major axis of the dust structure. If this kinematic pattern is interpreted as the signature of rotation around a central object, then a relatively low mass is inferred (M* ∼ 0.3 M☉, with a ~50% uncertainty). We discuss several possible explanations for the observed gas and dust environment around IRAS 04158+2805, including a flattened envelope with an outflow cavity and a large circumbinary ring. This source offers unique views of the gas and dust environment surrounding a young low-mass stellar system. Its properties are generally not commensurate with formation scenarios for such low-mass objects that rely on dynamical ejection, but rather confirms that a single mechanism—molecular cloud core collapse and fragmentation—can produce stars over a wide range of stellar masses (at least an order of magnitude).
The Role of Self-Esteem, Perceived Social Support, and Coping Strategy in the Escalation of Depressive Symptomatology During the First Year of College

This Thesis is brought to you for free and open access by the Theses and Dissertations at Loyola eCommons. It has been accepted for inclusion in Master's Theses by an authorized administrator of Loyola eCommons. For more information, please contact ecommons@luc.edu. ACKNOWLEDGEMENTS This manuscript was made possible by the participation and encouragement of several individuals. I would like to thank my Thesis Committee members, Dr. Colleen Conley and Dr. Grayson Holmbeck, for their valuable feedback throughout this project. I am particularly grateful to Dr. Holmbeck for volunteering his time and expertise, and offering constant support and mentorship. A very special thank you to Daniel Dickson, for adopting me as a mentee, and for his endless patience, support, and guidance. Finally, I would like to thank my family, friends, and colleagues for their understanding and encouragement through it all.
MO-Pack: Many-objective clustering for FPGA CAD

Applications targeting FPGA integrated systems impose strict energy, channel width and delay constraints. We introduce the first many-objective clustering, MO-Pack, that targets these performance metrics concurrently. Detailed performance comparisons over state of the art clustering strategies targeting energy (P-T-VPack), delay (T-VPack), channel width (iRAC), and timing and routability (T-RPack) show that MO-Pack achieves its goals without increasing the logic area.
Probing Early Structure Formation with Far-Infrared Background Correlations

The large-scale structure of high-redshift galaxies produces correlated anisotropy in the far-infrared background (FIRB). In regions of the sky where the thermal emission from Galactic dust is well below average, these high-redshift correlations may be the most significant source of angular fluctuation power over a wide range of angular scales, from ~7' to ~3°, and frequencies, from ~400 to ~1000 GHz. The strength of this signal should allow detailed studies of the statistics of the FIRB fluctuations, including the shape of the angular power spectrum at a given frequency and the degree of coherence between FIRB maps at different frequencies. The FIRB correlations depend on and hence constrain the redshift-dependent spectral energy distributions, number counts, and clustering bias of the galaxies and active nuclei that contribute to the background. We quantify the accuracy to which Planck and a newly proposed balloon-borne mission, Explorer of Diffuse Galactic Emissions, could constrain models of the high-redshift universe through the measurement of FIRB fluctuations. We conclude that the average bias of high-redshift galaxies could be measured to an accuracy of ≲1% or, for example, separated into four redshift bins with ~10% accuracy.
Nerve Injury Induces a Rapid Efflux of Nitric Oxide (NO) Detected with a Novel NO Microsensor

An early step in repair of the leech CNS is the appearance of endothelial nitric oxide synthase (eNOS) immunoreactivity and NOS activity, but coincident generation of NO at the lesion after injury has not been shown. This is important because NO can regulate microglial cell motility and axon growth. Indirect measurement of NO with the standard citrulline assay demonstrated that NO was generated within 30 min after nerve cord injury. A polarographic NO-selective self-referencing microelectrode that measures NO flux noninvasively was developed to obtain higher spatial and temporal resolution. With this probe, it was possible to demonstrate that immediately after the leech CNS was injured, NO left the lesion with a mean peak efflux of 803 ± 99 fmol NO cm−2 sec−1. NO efflux exponentially declined to a constant value, as described through the equation f(t) =yo +ae−t/τ, with τ = 117 ± 30 sec. The constant yo = 15.8 ± 4.5 fmol cm−2 represents a sustained efflux of NO. Approximately 200 pmol NO cm−2 is produced at the lesion (n = 8). Thus, injury activates eNOS already present in the CNS and precedes the accumulation of microglia at the lesion, consistent with the hypothesis that NO acts to stop the migrating microglia at the lesion site.
Instability of non-commutative SYM theories at finite temperature

We extend our previous work on the quasi-particle excitations in = 4 non-commutative U(1) Yang-Mills theory at finite temperature. We show that above some critical temperature there is a tachyon in the spectrum of excitations. It is a collective transverse photon mode polarized in the non-commutative plane. Thus the theory seems to undergo a phase transition at high temperature. Furthermore we find that the group velocity of quasi-particles generically exceeds the speed of light at low momentum.
Policies , Endogenous Growth and Scale Effects

This paper constructs a scale-free endogenous growth model and studies the determinants of optimal R&D policy. The model combines two of the main approaches to removal of scale effects: the rent protection approach and the diminishing technological opportunities approach. In addition, the model allows for inter-industry knowledge spillovers and inter-industry rentprotection spillovers. The steady-state rate of innovation is a function of all of the model’s parameters including the R&D subsidy/tax rate. Thus, growth is fully endogenous. The effective replacement rate faced by incumbent firms is an increasing function of the innovation-deterring elasticity of rent protection activities, which is also endogenously determined. Numerical simulations imply that it is optimal to tax R&D when innovations are of very small and very large magnitudes, and to subsidize R&D when innovations are of medium size. Under a wide range of empirically relevant calibrations, the subsidy rate turns out to be positive and fluctuates between 5 to 25 percent.
Ieee Transactions on Information Theory Computation and Relaxation of Conditions for Equivalence between Minimization

—In this paper, we investigate the exact conditions under which the 1 and 0 minimizations arising in the context of sparse error correction or sparse signal reconstruction are equivalent. We present a much simplified condition for verifying equivalence, which leads to a provably correct algorithm that computes the exact sparsity of the error or the signal needed to ensure equivalence. In the case when the encoding matrix is imbalanced, we show how an optimal diagonal rescaling matrix can be computed via linear programming, so that the rescaled system enjoys the widest possible equivalence.
A novel reputation-based Tit-for-Tat strategy for IEEE 802.11 CSMA/CA protocol

In non-cooperative environments such as public hotspots, selfish nodes can take advantage of the mechanisms in place to obtain unfair shares of the network resources. Unfortunately, such a selfish behavior may impact the performance of the other nodes. In this paper, we address the problem of fairly sharing the IEEE 802.11 network resources in the presence of selfish nodes. Our objective is to propose a novel medium access control protocol which can fairly share the available medium among cooperative nodes but can retaliate if some selfish ones are present. We present a novel game theoretical strategy that is specifically designed to cope with the short-term unfairness of resource sharing. The proposed reputation-based Tit-for-Tat mechanism is immune to infrequent misclassification errors and motivates rational selfish nodes to cooperate under the threat of retaliation. The mechanism depends on the observation of the nodes' behavior. If any node misbehaves, the monitoring nodes should adapt and behave selfishly. Thus, rational nodes should not have any other choice than to follow the legitimate behavior defined in the IEEE 802.11 standard in order to maximize their potential payoff.
Directional Secretory Response of Double Stranded RNA-Induced Thymic Stromal Lymphopoetin (TSLP) and CCL11/Eotaxin-1 in Human Asthmatic Airways

Background Thymic stromal lymphoproetin (TSLP) is a cytokine secreted by the airway epithelium in response to respiratory viruses and it is known to promote allergic Th2 responses in asthma. This study investigated whether virally-induced secretion of TSLP is directional in nature (apical vs. basolateral) and/or if there are TSLP-mediated effects occurring at both sides of the bronchial epithelial barrier in the asthmatic state. Methods Primary human bronchial epithelial cells (HBEC) from control (n = 3) and asthmatic (n = 3) donors were differentiated into polarized respiratory tract epithelium under air-liquid interface (ALI) conditions and treated apically with dsRNA (viral surrogate) or TSLP. Sub-epithelial effects of TSLP were examined in human airway smooth muscle cells (HASMC) from normal (n = 3) and asthmatic (n = 3) donors. Clinical experiments examined nasal airway secretions obtained from asthmatic children during naturally occurring rhinovirus-induced exacerbations (n = 20) vs. non-asthmatic uninfected controls (n = 20). Protein levels of TSLP, CCL11/eotaxin-1, CCL17/TARC, CCL22/MDC, TNF-α and CXCL8 were determined with a multiplex magnetic bead assay. Results Our data demonstrate that: 1) Asthmatic HBEC exhibit an exaggerated apical, but not basal, secretion of TSLP after dsRNA exposure; 2) TSLP exposure induces unidirectional (apical) secretion of CCL11/eotaxin-1 in asthmatic HBEC and enhanced CCL11/eotaxin-1 secretion in asthmatic HASMC; 3) Rhinovirus-induced asthma exacerbations in children are associated with in vivo airway secretion of TSLP and CCL11/eotaxin-1. Conclusions There are virally-induced TSLP-driven secretory immune responses at both sides of the bronchial epithelial barrier characterized by enhanced CCL11/eotaxin-1 secretion in asthmatic airways. These results suggest a new model of TSLP-mediated eosinophilic responses in the asthmatic airway during viral-induced exacerbations.