Miracle-dz/UniFAR-FTUs huggingface dataset:
Anxiety-Anger Relationship in Hyperandrogenemia: A Comparative Study with Polycystic Ovary Syndrome (PCOS) and Healthy Control Adolescents -

Objective: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders. It is well established that adult women with PCOS suffer from reduced quality of life, depression, and anxiety. But psychiatric problems of adolescents with PCOS are not adequately addressed in studies although the potential role of hyperandrogenemia and high levels of testosterone in inducing anger and anxiety are known. In this study, we aimed to examine the relationship between anger and anxiety in adolescents with PCOS compared to the healthy controls. Methods: 28 adolescents with PCOS and 16 healthy adolescents were recruited to the study. The State-Trait Anxiety Inventory (STAI I-II) and The Trait Anger and Anger Expressions Scale were administered to all adolescents. Results: Our results indicated that anxiety and anger types, except for internalized anger, were higher and anger control was lower in adolescents with PCOS than controls. Also state and trait anxiety were negatively associated with anger control in adolescents with PCOS, while there were no such associations in healthy controls. Conclusions: In this present study, we demonstrated that, there was a unique relationship between anxiety and anger in adolescents with PCOS than controls. This could be a consequence of chronic hyperandrogenemia and both medical and psychiatric treatment could prevent adolescents with PCOS from anxiety.
Another New Complexity Metric for Object-Oriented Design Measurement

This paper presents a new complexity metric for Object-Oriented (OO) design measurement to find at the design stage whether the classes become more complex, Moderate complex or less complex. The proposed metric is theoretically evaluated against the Weyuker’s properties as well as empirically evaluated against three open source software system. Furthermore, for validating the validity of new complexity metric, the paper has also presented the comparison of proposed metric with some well known complexity metrics like Weighted Method per Class (WMC) metric of Chidamber and Kemerer (CK), Class Complexity (CC) metric of Balasubramanian, and Complexity Metric for OO Design (CMOOD) metric of Rajnish and Bhattacherjee (RB) against the same three open source software system.Automated tool were used to generate the metric values and for analyzing the results, IBM SPSS software used. The results in this paper indicates that the new complexity metric is correlated well with existing complexity metrics and may be used as predictors of complexity of class.
Evolutionary Ecology of Microorganisms : From the Tamed to the Wild

OVERVIEW: INTERPLAY BETWEEN ECOLOGICAL AND EVOLUTIONARY PROCESSES An overarching goal of biology is to understand how evolutionary and ecological processes generate and maintain biodiversity. Despite this seemingly unified goal, historically the fields of evolutionary biology and ecology have largely advanced separately. Although evolutionary biologists interested in biodiversity tend to focus on the mechanisms controlling rates of evolution and how this influences the phylogenetic relationship among species, ecologists attempt to explain the distribution and abundance of taxa based on interactions among species and their environment. Recently, a more concerted effort has been made to integrate some of the theoretical and empirical approaches from the fields of ecology and evolutionary biology. This has been motivated in part by the growing evidence that evolution can happen on “rapid” or contemporary time scales (1). When this occurs, evolutionary changes can select for functional traits and behaviors of species in ways that influence ecological processes, such as population dynamics, the outcome of species interactions, and even ecosystem functioning (2–5). Ultimately eco-evolutionary feedbacks can alter system dynamics in ways that cannot be predicted based on ecological principles alone (6) (Fig. 1). As such, it may be inappropriate to ignore evolutionary processes when attempting to understand ecological phenomena in natural and managed ecosystems. Evolutionary ecology is a broad discipline that covers a wide range of topics, including life history theory, sexual selection, sociobiology, and coevolution, which are addressed in greater detail elsewhere (7–9). In this chapter, we highlight questions and approaches that are relevant to studying the evolutionary ecology of microorganisms, with a focus on rapid evolution. Because there is no single right way for conducting research on the evolutionary ecology of microorganisms, we provide an overview of some of the commonly used methods in experimental evolution, along with studies that track evolution in the wild using sequencing-based approaches. We emphasize some of the major processes that are thought to influence the strength of eco-evolutionary dynamics, provide an overview of methods used to quantify the relative importance of ecology and evolution, and showcase the importance of considering evolution in a community context and how this may influence the dynamics and stability of microbial systems under novel environmental conditions.
God Owes Me: The Role of Divine Entitlement in Predicting Struggles With a Deity

Psychological entitlement is a stable personality trait known to predict a range of concerning outcomes in people’s lives. Recent research has suggested that entitlement might have domain-specific manifestations such as romantic entitlement, academic entitlement, and sexual entitlement. The present work sought to examine such a domain specific manifestation in the religious and spiritual realm. This new manifestation was called divine entitlement. The present studies sought to validate this construct and demonstrate its associations with concerning, domain-relevant outcomes. In 2 studies using 6 samples (Study 1, total N = 556; Study 2, Total N = 2,113) divine entitlement was validated as a construct and the Divine Entitlement Scale was developed and validated as a brief measure of this construct. Subsequent structural equation models found that divine entitlement also has a positive, predictive relationship with spiritual struggles with the divine. Through this association (divine entitlement with divine struggle), there was also an indirect association of divine entitlement with psychological distress more broadly. Collectively, these findings illustrate that entitlement may also be exhibited in a domain-specific manner in one’s religious and spiritual life and that this domain-specific manifestation may also have concerning outcomes in both religious and spiritual life and mental health more generally.
A non-parametric blur measure based on edge analysis for image processing applications

A nonparametric image blur measure is presented. The measure is based on edge analysis and is suitable for various image processing applications. The proposed measure for any edge point is obtained by combining the standard deviation of the edge gradient magnitude profile and the value of the edge gradient magnitude using a weighted average. The standard deviation describes the width of the edge, and its edge gradient magnitude is also included to make the blur measure more reliable. Moreover, the value of the weight is related to image contrast and can be calculated directly from the image. Experiments on natural scenes indicate that the proposed technique can effectively describe the blurriness of images in image processing applications.
X-Raying A2125: A Large-Scale Hierarchical Complex of Galaxies and Hot Gas

We present an 82 ks Chandra ACIS-I observation of a large-scale hierarchical complex, which consists of various clusters/groups of galaxies and low surface brightness X-ray emission at z = 0.247. This high-resolution Chandra observation allows us for the first time to separate unambiguously the X-ray contributions from discrete sources and large-scale diffuse hot gas. We detect 99 X-ray sources in a 17′ × 17′ field. Ten of these sources are identified as members of the complex and are mostly radio-bright. Whereas unresolved X-ray sources tend to be associated with galaxies in intermediate density environments, extended X-ray emission peak at bright radio galaxies in the central cluster. In particular, a distinct X-ray trail appears on one side of the fast-moving galaxy C153, clearly due to ram pressure stripping. The diffuse X-ray emission from the central cluster can be characterized by a thermal plasma with a characteristic temperature of 3.2 keV and a heavy element abundance of 0.24 solar (90% confidence uncertainties). In comparison, a patch of low surface brightness X-ray emission apparently originates in relatively low density intergalactic gas with a characteristic temperature of 0.98 keV and an abundance of ≲0.09 solar. The Chandra observation, together with extensive multiwavelength data, indicates that the complex represents a projection of several galaxy substructures, which may be undergoing major mergers. We discuss the dynamic states of the complex and its substructures, as well as properties of X-ray-emitting galaxies and the relationship to their environments.
Ocean-bottom krill sex

For the first time the entire sequence of the mating behaviour of Antarctic krill (Euphausia superba) in the wild is captured on underwater video. This footage also provides evidence that mating can take place near the seafloor at depths of 400–700 m. This observation challenges the generally accepted concept of the pelagic lifestyle of krill. The mating behaviour observed most closely resembles the mating behaviour reported for a decapod shrimp (Penaeus). The implications of the new observation are also discussed.
It takes two to tango: two TatA paralogues and two redox enzyme-specific chaperones are involved in the localization of twin-arginine translocase substrates in Campylobacter jejuni

The food-borne zoonotic pathogen Campylobacter jejuni has complex electron transport chains required for growth in the host, many of which contain cofactored periplasmic enzymes localized by the twin-arginine translocase (TAT). We report here the identification of two paralogues of the TatA translocase component in C. jejuni strain NCTC 11168, encoded by cj1176c (tatA1) and cj0786 (tatA2). Deletion mutants constructed in either or both of the tatA1 and tatA2 genes displayed distinct growth and enzyme activity phenotypes. For sulphite oxidase (SorAB), the multi-copper oxidase (CueO) and alkaline phosphatase (PhoX), complete dependency on TatA1 for correct periplasmic activity was observed. However, the activities of nitrate reductase (NapA), formate dehydrogenase (FdhA) and trimethylamine N-oxide reductase (TorA) were significantly reduced in the tatA2 mutant. In contrast, the specific rate of fumarate reduction catalysed by the flavoprotein subunit of the methyl menaquinone fumarate reductase (MfrA) was similar in periplasmic fractions of both the tatA1 and the tatA2 mutants and only the deletion of both genes abolished activity. Nevertheless, unprocessed MfrA accumulated in the periplasm of the tatA1 (but not tatA2) mutant, indicating aberrant signal peptide cleavage. Surprisingly, TatA2 lacks two conserved residues (Gln8 and Phe39) known to be essential in Escherichia coli TatA and we suggest it is unable to function correctly in the absence of TatA1. Finally, only two TAT chaperones (FdhM and NapD) are encoded in strain NCTC 11168, which mutant studies confirmed are highly specific for formate dehydrogenase and nitrate reductase assembly, respectively. Thus, other TAT substrates must use general chaperones in their biogenesis.
The colour of galaxies in distant groups

We present new optical and near-infrared imaging for a sample of 98 spectroscopicallyselected galaxy groups at 0.25 < z < 0.55, most of which have velocity dispersions � < 500 km/s. We use psf-matched aperture photometry to measure accurate colours for group members and the surrounding field population. The samp le is statistically complete above a stellar mass limit of approximately M = 1 × 10 10 M⊙. The overall colour distribution is bimodal in both the field and group samples; but at fixed luminosity the fraction of group galaxies populating the red peak is larger, by � 20±7 per cent, than that of the field. In particular, group members with early-type morphologies, as identified in Hubble Space Telescope imaging, exhibit a tight red sequence, similar to that seen f or more massive clusters. Using optical and near-infrared colours, including data fr om the Spitzer Space Telescope, we show that approximately 20‐30 per cent of galaxies on the red sequence may be dust-reddened galaxies with non-negligible star formation and early-spi ral morphologies. This is true of both the field and group sample, and shows little dependence on nea r infrared luminosity. Thus, the fraction of bright ( 0.4 MK < 22) group members with no sign of star formation or AGN activity, as identified by their colours or [OII] emission, is 54 ± 6 per cent. Our field sample, which includes galaxies in all environments, contains 35±3 per cent of such inactive galaxies, consistent with the amount expected if all such galaxies are located in groups and clusters. This reinforces our earlier conclusions, that dense enviro nments atz < 0.5 are associated with a premature cessation of star formation in some galaxies; in particular we find no evidence for significantly enhanced star formation in these environment s. Simple galaxy formation models predict a quenching of star formation in groups that is too efficient, overpopulating the red sequence. Attempts to fix this by increasing the timescale of this quenching equally for all group members distorts the colour distribution in a way that is inconsistent with observations.
PENGARUH KEPEMIMPINAN TERHADAP MOTIVASI KERJA KARYAWAN PADA PDAM KOTA MADIUN

This study aims to determine the leadership and employee motivation on the taps Madiun and to determine whether there is influence on employee motivation leadership at Madiun taps. Data collection using questionnaires, documentation, and observation. The analytical tool used in this study is simple linear regression analysis correlation test load, f test and t test using SPSS for windows 16.0. The results showed that the leadership have influence at the same time a positive relationship to employee motivation at PDAM Madiun. This means that the value of fhit ≥ ftable (49.921 ≥ 3.37 or Sighit ≤ Sigtable (0,000 ≤ 0.05), or it can be concluded reject H0, meaning no overall effect between leadership on employee motivation in PDAM Madiun. In addition, reliability test results obtained from the value of Cronbach's Alpha 0.859 and 0.944> 0.70. This means that the data collected is reliable (trustworthy).
Automatic registration of microarray images. II. Hexagonal grid

MOTIVATION In the first part of this paper the author presented an efficient, robust and completely automated algorithm for spot and block indexing in microarray images with rectangular grids. Although the rectangular grid is currently the most common type of grouping the probes on microarray slides, there is another microarray technology based on bundles of optical fibers where the probes are packed in hexagonal grids. The hexagonal grid provides both advantages and drawbacks over the standard rectangular packing and of course requires adaptation and/or modification of the algorithm of spot indexing presented in the first part of the paper. RESULTS In the second part of the paper the author presents a version of the spot indexing algorithm adapted for microarray images with spots packed in hexagonal structures. The algorithm is completely automated, works with hexagonal grids of different types and with different parameters of grid spacing and rotation as well as spot sizes. It can successfully trace the local and global distortions of the grid, including non-orthogonal transformations. Similar to the algorithm from part I, it scales linearly with the grid size, the time complexity is O(M), where M is total number of grid points in hexagonal grid. The algorithm has been tested both on CCD and scanned images with spot expression rates as low as 2%. The processing time of an image with about 50 000 hex grid points was less than a second. For images with high expression rates ( approximately 90%) the registration time is even smaller, around a quarter of a second. SUPPLEMENTARY INFORMATION http://fleece.ucsd. edu/~vit/Registration_Supplement. pdf
Still an Agenda Setter: Traditional News Media and Public Opinion During the Transition From Low to High Choice Media Environments

This study analyzes whether the agenda-setting influence of traditional news media has become weaker over time—a key argument in the “new era of minimal effects” controversy. Based on media content and public opinion data collected in Sweden over a period of 23 years (1992–2014), we analyze both aggregate and individual-level agenda-setting effects on public opinion concerning 12 different political issues. Taken together, we find very little evidence that the traditional news media has become less influential as agenda setters. Rather, citizens appear as responsive to issue signals from the collective media agenda today as during the low-choice era. We discuss these findings in terms of cross-national differences in media systems and opportunity structures for selective exposure.
Associating Grasping with Convolutional Neural Network Features

In this work, we provide a solution for pre-shaping a human-like robot hand for grasping based on visual information. Our approach uses convolutional neural networks (CNNs) to define a mapping between images and grasps. Applying CNNs to robotics applications is non-trivial for two reasons. First, collecting enough robot data to train a CNN at the same scale as the models trained in the vision community is extremely difficult. In this work, we demonstrate that by using a pre-trained CNN, a small set of grasping examples is sufficient for generalizing across different objects of similar shapes. Second, the final output of a CNN contains little location information of the observed object, which is essential for the robot to manipulate the object. We take advantage of the hierarchical nature of CNN layers and identify the 3D positions of features that capture the hierarchical support relations between filters in different CNN layers using an approach we call targeted backpropagation. Targeted backpropagation traces the activation of higher level features in a CNN backwards through the network to discover the locations in the observation that were responsible for making them fire, thus localizing important structures that are manipulable in the environment. We show that this approach outperforms approaches without targeted backpropagation in a cluttered scene. We further implement a hierarchical controller that controls fingers and palms based on features located in different layers of the CNN for pre-shaping the robot hand and demonstrate that this approach outperforms a point cloud based approach on a grasping task on Robonaut-2.
Analysing teamwork in higher education: an empirical study on the antecedents and consequences of team cohesiveness

ABSTRACT One of the most important components of effective teamwork is cohesiveness. However, few empirical studies on the antecedents and consequences of group cohesiveness exist. In response to this gap, the current study draws on the Input-Process-Output model of team effectiveness to investigate the impact of individual and task factors on team cohesiveness, as well as the influence of team cohesiveness on students’ perceived learning, satisfaction with teamwork, and expected quality of the outcome. Based on a survey of 160 undergraduate students who worked in groups, the findings show that individual factors (cooperativeness and collaborative behaviour) have a positive influence on team cohesiveness, while task factors (workload and task complexity) have a negative influence on it. According to the results obtained, the highest effect of cohesiveness is on satisfaction with teamwork. Finally, both perceived learning and expected quality predict satisfaction with teamwork.
Enrolment in Micro Life and Health Insurance: Evidences from Sri Lanka

Microinsurance is an emerging concept protecting households from the potentially catastrophic expenditures associated with family related shocks. Therefore, this paper presents evidence on the determinants of insurance participation using probit models on household survey data from Sri Lanka, conditional on household's microfinance institution enrolment. Further, we employ multivariate probit regressions to analyse factors affecting the participation in different types of insurance. We find that the household’s experience of a family related shock is positively associated with the participation in micro health insurance schemes under study. There is strong evidence that microinsurance has not yet succeeded in proportionately reaching the most vulnerable households. Notably, education of the household head is a strong determinant of microinsurance participation.
Physiological studies investigating the effect of homeostatic plasticity of the motor cortex on the expression of muscle strength

The effect of anodal transcranial direct current stimulation (tDCS) on corticospinal excitability and inhibition was studied throughout this thesis. The primary aim was to investigate the induction of homeostatic plasticity and its effect on muscle strength and to determine the influence of the brain-derived neurotrophic factor (BDNF) polymorphism on the induction of homeostatic plasticity and muscle strength.
Clinching and Elimination of Playoff Berth in the NHL

This paper considers the problem of determining as early as possible when teams in the NHL are mathematically qualified or eliminated from the playoffs. A mixed integer program formulation to determine mathematical qualification and elimination will be given via the rules outlined by the NHL. We also give a slightly simplified version of the MIP that is more computationally tractable and computational results for the 2003-2004 NHL season in which our method is able to detect qualification and elimination earlier than the rules currently used by the sports media.
A fully convolutional deep auditory model for musical chord recognition

Chord recognition systems depend on robust feature extraction pipelines. While these pipelines are traditionally hand-crafted, recent advances in end-to-end machine learning have begun to inspire researchers to explore data-driven methods for such tasks. In this paper, we present a chord recognition system that uses a fully convolutional deep auditory model for feature extraction. The extracted features are processed by a Conditional Random Field that decodes the final chord sequence. Both processing stages are trained automatically and do not require expert knowledge for optimising parameters. We show that the learned auditory system extracts musically interpretable features, and that the proposed chord recognition system achieves results on par or better than state-of-the-art algorithms.