Miracle-dz/UniFAR-FTUs huggingface dataset:
Celiac disease and obstetrical-gynecological contribution

Celiac disease (CD) shows an increased prevalence in female, particularly during the fertile period. Celiac disease should be researched in infertility, spontaneous and recurrent abortions, delayed menarche, amenorrhea, early menopause, and children with low birth-weight. Celiac disease is still little considered during the evaluation of infertility. Up to 50% of women with untreated CD refer an experience of miscarriage or an unfavorable outcome of pregnancy. Celiac patients taking a normal diet (with gluten) have a shorter reproductive period. Women with undiagnosed CD had a higher risk of small for gestation age infants very small for gestational age infants and pre-term birth when compared with women with noted CD. The link between NCGS and infertility is actually unknown. The goal of our work is to perform an actual review about this topic and to increase the awareness in the medical population to research celiac disease in selected obstetric and gynecological disorders.
Mediating Role Of Socialization Towards Relationship Between Personality And Job Satisfaction

This research aims to explore the mediating effect of socialization on the relationship between personality and job satisfaction. Furthermore, to explore which personality traits can serve as predictors towards job satisfaction, targeting the bank branch managers in Pakistan by questionnaire in this Cross Section study. From the analysis, we found: (1) socialization has a mediating effect on the relationship between personality and job satisfaction, (2) Among five factors of Personality, Extraversion, Conscientiousness and Neuroticism are found to be significant predictors to determine Job Satisfaction. In conclusion, this research discusses the theoretical and practical connotations of the research results and proposed recommendations for follow-up studies.
CONSTRAINING SPINNING DUST PARAMETERS WITH THE WMAP FIVE-YEAR DATA

We characterize spinning dust emission in the warm ionized medium (WIM) by comparing templates of Galactic dust and Hα with the five-year maps from the Wilkinson Microwave Anisotropy Probe (WMAP). The Hα-correlated microwave emission deviates from the thermal bremsstrahlung (free–free) spectrum expected for ionized gas, exhibiting an additional broad bump peaked at ∼40 GHz which provides ∼20% of the peak intensity. We confirm that the bump is consistent with a modified Draine and Lazarian spinning dust model, though the peak frequency of the emission is somewhat lower than the 50 GHz previously claimed. This frequency shift results from systematic errors in the large-scale modes of the three-year WMAP data which have been corrected in the five-year data release. We show that the bump is not the result of errors in the Hα template by analyzing regions of high free–free intensity, where the WMAP K-band map may be used as the free–free template. We rule out a pure free–free spectrum for the Hα-correlated emission at high confidence: ∼27σ for the nearly full-sky fit, even after marginalizing over the cosmic microwave background cross-correlation bias. We also extend the previous analysis by searching the parameter space of the Draine and Lazarian model but letting the amplitude float. The best fit for reasonable values of the characteristic electric dipole moment and density requires an amplitude factor of ∼0.3. This suggests that small polycyclic aromatic hydrocarbons in the WIM are depleted by a factor of ∼3.
Operationalizing cognitive vulnerability and stress from the perspective of the hopelessness theory: a multi-wave longitudinal study of children of affectively ill parents.

OBJECTIVES The current study tested the diathesis-stress component of the hopelessness theory (HT) in a sample of youth using (1) a weakest link approach towards operationalizing cognitive vulnerability (e.g. a child's degree of vulnerability is determined by his/her most depressogenic inferential style; DIS) and (2) an idiographic approach towards operationalizing high stress (e.g. high stress is when a child is experiencing a level of stress that is higher than his/her own average level of stress). We also examined whether the association between within-subject fluctuations in hassles and depressive symptoms in cognitively vulnerable youth was moderated by absolute stress levels (the between-subject effect of stress). DESIGN A multi-wave longitudinal design was used to examine whether the association between within-subject fluctuations in hassles and depressive symptoms was moderated by a depressogenic weakest link. METHODS At Time 1, 140 children (between 6 and 14 years of age) of parents with a history of major depressive episodes completed measures assessing DISs and depressive symptoms. Every 6 weeks, for the subsequent year, children completed measures assessing depressive symptoms and hassles. RESULTS The results of hierarchical linear modelling analyses indicated that a depressogenic weakest link was associated with greater elevations in depressive symptoms following elevations in hassles in girls but not in boys. CONCLUSIONS Results provide partial support for the applicability of the diathesis-stress component of the HT to youth. Integration of the current findings with those obtained in past research examining the diathesis-stress component of the hopelessness theory in youth suggests the utilization of an idiographic approach to examining vulnerability-stress theories may potentially lead to an increased understanding of gender differences in depression.
The ZIPA moment: Dzino, Mugabe and Samora Machel

ABSTRACT This article underscores the importance of the relatively brief life but historically noteworthy emergence of the Zimbabwe People’s Army (ZIPA) within the struggle for Zimbabwean liberation in the 1970s. For ZIPA was a movement that offered both a serious military challenge of its own to Smith’s UDI regime but also the long-term possibility of a far more meaningful liberation than anything achieved since by ZANU’s ‘old guard’ under the orchestration of Robert Mugabe. The roles played by Mugabe, Machel, Kaunda, Kissinger and Crosland in ensuring ZIPA’s defeat are all emphasised, with a key source for the paper’s reinterrogation of ZIPA’s role being the recent autobiography of Wilfred Mhanda (aka Dzino Machingura), entitled Dzino. A link is also made to Lionel Cliffe’s writing of the time (in ROAPE issue no. 8), in particular to his own experience while incarcerated in one of Kaunda’s Zambian jails.
On a characterization of symmetric balanced incomplete block designs

All the symmetric balanced incomplete block (SBIB) designs have been characterized and a new generalized expression on parameters of SBIB designs has been obtained. The parameter b has been formulated in a different way which is denoted by bi, i = 1, 2, 3, associating with the types of the SBIB design Di. The parameters of all the designs obtained through this representation have been tabulated while corresponding them with the suitable formulae for the number of blocks bi and the expression Si for the convenience of practical users for constructional methods of certain designs, which is the main theme of this paper.
Recovery of Block-Sparse Representations from Noisy Observations via Orthogonal Matching Pursuit

We study the problem of recovering the sparsity pattern of block-sparse signals from noise-corrupted measurements. A simple, efficient recovery method, namely, a block-version of the orthogonal matching pursuit (OMP) method, is considered in this paper and its behavior for recovering the block-sparsity pattern is analyzed. We provide sufficient conditions under which the block-version of the OMP can successfully recover the block-sparse representations in the presence of noise. Our analysis reveals that exploiting block-sparsity can improve the recovery ability and lead to a guaranteed recovery for a higher sparsity level. Numerical results are presented to corroborate our theoretical claim.
Family-Based Genetic Association Analysis: Methods and Applications to Addiction Phenotypes

This chapter concerns the power of various data analytic strategies to detect the effect of a single genetic variant (GV) in multivariate data. We simulated exactly fitting monozygotic and dizygotic phenotypic data according to single and two common factor models, and simplex models. We calculated the power to detect the GV in twin 1 data in an ANOVA of phenotypic sum scores, in a MANOVA, and in exploratory factor analysis (EFA), in which the common factors are regressed on the genetic variant. We also report power in the full twin model, and power of the single phenotype ANOVA. The results indicate that: (1) If the GV affects all phenotypes, the sum score ANOVA and the EFA are most powerful, while the MANOVA is less powerful. Increasing phenotypic correlations further decreases the power of the MANOVA. (2) If the GV affects only a subset of the phenotypes, the EFA or the MANOVA are most powerful, while sum score ANOVA is less powerful. In this case, an increase in phenotypic correlations may enhance the power of MANOVA and EFA. If the effect of the GV is modeled directly on the phenotypes in the EFA, the power of the EFA is approximately equal to the power of the MANOVA.
Fast Similarity Search for High-Dimensional Dataset

This paper addresses the challenging problem of rapidly searching and matching high-dimensional features for the applications of multimedia database retrieval and pattern recognition. Most current methods suffer from the problem of dimensionality curse. A number of theoretical and experimental studies lead us to pursue a new approach, called fast filtering vector approximation (FFVA) to tackle the problem. FFVA is a nearest neighbor search technique that facilitates rapidly indexing and recovering the most similar matches to a high-dimensional database of features or spatial data. Extensive experiments have demonstrated effectiveness of the proposed approach
Exploring Patterns of Gradient Orientations and Magnitudes for Face Recognition

A novel direction for efficiently describing face images is proposed by exploring the relationships between both gradient orientations and magnitudes of different local image structures. Presented in this paper are not only a novel feature set called patterns of orientation difference (POD) but also several improvements to our previous algorithm called patterns of oriented edge magnitudes (POEM). The whitened principal component analysis (PCA) dimensionality reduction technique is applied upon both the POEM- and POD-based representations to get more compact and discriminative face descriptors. We then show that the two methods have complementary strength and that by combining the two algorithms, one obtains stronger results than either of them considered separately. By experiments carried out on several common benchmarks, including the FERET database with both frontal and nonfrontal images as well as the very challenging LFW data set, we prove that our approach is more efficient than contemporary ones in terms of both higher performance and lower complexity.
Dominant Active Alleles of RIM101(PRR2) Bypass the pH Restriction on Filamentation ofCandida albicans

ABSTRACT Morphological development of the fungal pathogen Candida albicans is profoundly affected by ambient pH. Acidic pH restricts growth to the yeast form, whereas neutral pH permits development of the filamentous form. Superimposed on the pH restriction is a temperature requirement of approximately 37°C for filamentation. The role of pH in development was investigated by selecting revertants of phr2Δ mutants that had gained the ability to grow at acid pH. The extragenic suppressors in two independent revertants were identified as nonsense mutations in the pH response regulatorRIM101 (PRR2) that resulted in a carboxy-terminal truncation of the open reading frame. These dominant active alleles conferred the ability to filament at acidic pH, to express PHR1, an alkaline-expressed gene, at acidic pH, and to repress the acid-expressed gene PHR2. It was also observed that both the wild-type and mutant alleles could act as multicopy suppressors of the temperature restriction on filamentation, allowing extensive filamentation at 29°C. The ability of the activated alleles to promote filamentation was dependent upon the developmental regulator EFG1. The results suggest thatRIM101 is responsible for the pH dependence of hyphal development.
Emotion and Delusion: Seeking common ground between neuroscience and psychotherapies

This chapter explores areas of common ground between psychoanalysis and neuroscience — of which many areas exist. Emotion is an area of obvious overlap between the two fields and is especially important for any discussion of delusional beliefs. The chapter highlights such links and particularly suggests ways in which developments in neuroscience can potentially enrich psychoanalysis. We focus especially on the issue of emotional regulation, and the many ways in which false beliefs might be emotionally driven, in doing so focusing on the topics of self-deception, emotion and stereotyping, emotion in decision making, dreams and psychosis, and neurological disorders such as confabulation and anososgnosia. The chapter concludes by highlighting the need to develop a strong two-way relationship between the two fields.
A Comparison of Characteristics and Cultures of Academic Disciplinary Areas in the Context of Advertising and Public Relations Education

This study examines factors such as academic preparation, socioeconomic status, faculty/student relationships and extracurricular activities in different colleges at a public research university. The goal of this study is to begin to understand the cultures of different broad academic disciplinary areas where students may study advertising and public relations. Student survey responses combined with institutional data about those students did reveal differences based on academic disciplinary areas. Communication students were somewhat less prepared academically, more likely to be the first in their family to attend college, most likely to report having a faculty mentor and most likely to be involved in student media. They also engaged in internship and co-op experiences, used career services and were more active in Greek life than students in most other colleges. Students in business, arts and sciences and professional disciplines also participated in the study and multiple significant differences were found.
Explore Efficient Data Organization for Large Scale Graph Analytics and Storage

Many Big Data analytics essentially explore the relationship among interconnected entities, which are naturally represented as graphs. However, due to the irregular data access patterns in the graph computations, it remains a fundamental challenge to deliver highly efficient solutions for large scale graph analytics. Such inefficiency restricts the utilization of many graph algorithms in Big Data scenarios. To address the performance issues in large scale graph analytics, we develop a graph processing system called System G, which explores efficient graph data organization for parallel computing architectures. We discuss various graph data organizations and their impact on data locality during graph traversals, which results in various cache performance behavior on processor side. In addition, we analyze data parallelism from architecture’s perspective and experimentally show the efficiency for System G based graph analytics. We present experimental results for commodity multicore clusters and IBM PERCS supercomputers to illustrate the performance of System G for large scale graph analytics. Keywords-Graph Processing, Parallel Computing, Scalability
Development and Validation of the Self-Conscious Emotion Regulatory Efficacy Scale (SCERES)

Self-conscious emotion regulatory efficacy is very important in regulating and mediating psychosocial function. We developed the Self-Conscious Emotion Regulatory Efficacy Scale (SCERES) to assess self-efficacy in managing shame/embarrassment, guilt, envy, and pride, and tested it using a sample of 674 university students from mainland China. Exploratory and confirmatory factor analyses were conducted to determine the structure of the SCERES. Its internal consistency and stability were evaluated by examining composite and test–retest reliability. Construct validity was also examined. The results showed that the SCERES has good psychometric properties and can be considered a reliable and valid instrument for the measurement of self-conscious emotion regulatory efficacy.
Thr ee Essays in Environmental and Agricultural Issues

This dissertation is a collection of three essays. The first essay is titled,"Avoiding biases from data-dependent specification search: an application to the tillage choice model". The study evaluates the gains of avoiding data-dependent specification search on an estimation sample in an application to discrete choice models. The second essay is titled,"Empirical Ag-Environmental Model for Iowa". This research develops an empirical model to estimate the effects of domestic policies like taxes on input prices, restrictions on input use and subsidy for adopting more environmentally benign crop rotation, on water quality andwildlife habitat. The third essay is,"Further Investigation of the Effects of Meat Recalls and Correlations on Consumer Demand and Volatility", Closely related US beef, pork and poultry data are examined for the presence of correlation between the recall events. A static model is used to determine the change in the shares of expenditure for different recall correlation patterns. This study is further extended to test whether recalls increase the volatility of retail prices.
An Efficient Approach for Automatic Number Plate Recognition for Low Resolution Images

Apart from the developed countries, many developing countries are facing the wrath of internal and external security. Inadequate resources force these countries to adopt the usage of Automatic Number Plate Recognition (ANPR) system to ramp up security to a certain extent. These countries use CCTV cameras for manual surveillance. The proposed ANPR system is designed to work with these CCTV cameras. Fundamental components of the image are for image enhancement, character segmentation and character recognition. Novel techniques for each of these components are the main contributions of this work. The proposed approach has been tested on both low and high resolution images. In low resolution images, the average accuracy in character recognition achieved by the proposed approach is 96.2% and the average accuracy in character segmentation is 100% whereas the other existing techniques are unable to recognize the number plates. In good quality images, the proposed approach achieves 100% accuracy in character segmentation and 95.3% average accuracy in character recognition. The approach achieves 4.5% improvement over other existing approaches in character segmentation for good quality images.
SOCIAL, EMOTIONAL, COGNITIVE, AND PHYSIOLOGICAL CORRELATES OF ELECTRONIC SOCIAL BEHAVIOR

ii! Co-Authorship . iii! Acknowledgements . iv! List of Figures . vi! List of Tables . vii Chapter 1 General Introduction . 1! Chapter 2! Primary Appraisals, Secondary Appraisals, and Self-Regulation as Predictors of Electronic Bullying and Victimization . 20! Chapter 3! A Trauma Model of Electronic Bullying and Victimization . 57! Chapter 4! Electronic Proactive and Reactive Prosocial Behavior . 93! Chapter 5! General Discussion . 140!
A study of Jewish denominational preferences : Summary findings

Les Juifs americains expriment leur relation au judaisme et a la communaute juive organisee a travers des decisions concernant les preferences confessionnelles et l'affiliation a une synagogue. Parmi les trois principales denominations, les orthodoxes restent les moins assimilationistes. Les conservateurs occupent une position intermediaire entre les orthodoxes et les reformateurs ou ceux sans preference confessionnelle. L'orientation vers Israel reste un facteur important de la definition de l'identite juive. La proportion de Juifs sans preference de denomination depend en fait du nombre de mariages mixtes
Two years of Visual Odometry on the Mars Exploration Rovers

NASA's two Mars Exploration Rovers (MER) have successfully demonstrated a robotic Visual Odometry capability on another world for the first time. This provides each rover with accurate knowledge of its position, allowing it to autonomously detect and compensate for any unforeseen slip encountered during a drive. It has enabled the rovers to drive safely and more effectively in highly sloped and sandy terrains and has resulted in increased mission science return by reducing the number of days required to drive into interesting areas. The MER Visual Odometry system comprises onboard software for comparing stereo pairs taken by the pointable mast‐mounted 45 deg FOV Navigation cameras (NAVCAMs). The system computes an update to the 6 degree of freedom rover pose (x, y, z, roll, pitch, yaw) by tracking the motion of autonomously selected terrain features between two pairs of 256×256 stereo images. It has demonstrated good performance with high rates of successful convergence (97% on Spirit, 95% on Opportunity), successfully detected slip ratios as high as 125%, and measured changes as small as 2 mm, even while driving on slopes as high as 31 deg. Visual Odometry was used over 14% of the first 10.7 km driven by both rovers. During the first 2 years of operations, Visual Odometry evolved from an “extra credit” capability into a critical vehicle safety system. In this paper we describe our Visual Odometry algorithm, discuss several driving strategies that rely on it (including Slip Checks, Keep‐out Zones, and Wheel Dragging), and summarize its results from the first 2 years of operations on Mars. © 2006 Wiley Periodicals, Inc.