Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlates of Symptoms of Depression and Anxiety Among Expectant and New Fathers

Many men experience depression and anxiety during the transition to parenthood, but characteristics associated with fathers’ distress are less well understood than those for mothers. Among perinatal women, both general cognitive biases and attitudes toward parenthood are associated with symptoms of depression and anxiety. The goal of this study was to assess whether these characteristics are associated with psychological distress among fathers. An Internet-based sample of expectant (n = 145) and new (n = 137) first-time fathers completed cross-sectional self-report measures of paternal attitudes, general cognitive biases, relationship quality, social support, and symptoms of depression and anxiety. General cognitive biases and relationship quality were associated with symptoms of depression and anxiety after controlling for other paternal characteristics. Although paternal attitudes were correlated with symptoms of depression and anxiety, they were not significantly associated with symptoms in overall multivariate analyses, and the relationship between paternal attitudes and anxiety differed between expectant and new fathers. These findings suggest that general cognitive biases and relationship quality are strongly associated with paternal distress. Couples-based and cognitive–behavioral interventions may be well-suited for adaptation for use in this population.
The modulatory effect of CA1 5HT 4 receptors on memory acquisition deficit induced by harmaline

The plethora of studies indicated that there is a cross talk relationship between harmaline and serotonergic (5-HT) system on cognitive and non-cognitive behaviors. Thus, the purpose of this study is assessment the effects of CA1 5-HT4 receptor on memory acquisition deficit induced by harmaline. Harmaline was injected peritoneally, while 5-HT4 receptor agonist (RS67333) and antagonist (RS23597-190) were injected intra-CA1. For memory measurement,a single-trial step-down passive avoidance apparatus was used. The data revealed that pre-training injection of higher dose of harmaline (1 mg/kg), RS67333 (0.5 ng/mouse) and RS23597-190 (0.5 ng/mouse)decreased memory acquisitionprocess in the adult mice. Moreover, concurrent pre-training administration of subthreshold doseof RS67333 (0.005 ng/mouse) orRS23597-190 (0.005 ng/mouse)with subthreshold dose of harmaline (0.5 mg/kg, i.p.)intensify impairment of memory acquisition. All above interventions did not change locomotion and tail flick behaviors. In conclusion, the results demonstrated that the synergistic effect between both CA1 5-HT4 receptor agonist and antagonist with impairment of memory acquisition induced by harmaline, indicating a modulatory effect for CA1 5HT4 receptor on Harmaline induced amnesia.
A modified sequential deep floating search algorithm for feature selection

With the exponential increase of the data scale, the problem of feature selection has been the focus in statistical pattern recognition. In this paper, a new modified forward deep floating searching algorithm (SDFFS) is proposed to select a feature subset of d features from the original candidate-set of D features (d <; D), which is an improvement of the state of the art SFFS algorithm. The SDFFS algorithm adds an additional step called `deep searching' to check whether there exists a better k-subset than the one selected by the SFS step, which can not be searched in the SFFS algorithm. The algorithm is tested on eight real datasets including four microarray gene expression datasets and four UCI datasets. Four feature selection algorithms SFS, PlMr, SFFS and IFFS are used to compare with our proposed SDFFS algorithm. The experimental results show that the SDFFS performs better than others in acceptable computational cost in most of datasets, which indicates that our designed deep searching step works well.
Semiclassical strings in electric and magnetic field deformed AdS(5) x S-5 spacetimes

D2-branes with magnetic or electric flux in 10 D IIA string theory, after the Kaluza-Klein reduction. We then perform the T-duality to the spacetime to find the background of a stack of N D3-branes with magnetic or electric flux. In the near-horizon limit the background becomes the magnetic or electric field deformed AdS5 � S 5 . We adopt an ansatz to find the classical string solution which is rotating in the deformed S 5 with three angular momenta in the three rotation planes. The relations between the classical string energy and its angular momenta are found and results show that the external magnetic and electric fluxes will increase the string energy. Therefore, from the AdS/CFT point of view, the corrections of the anomalous dimensions of operators in the dual SYM theory will be positive. We also investigate the small fluctuations in these solutions and discuss the effects of magnetic and electric fields on the stability of these classical rotating string solutions. Finally, we find the possible solutions of string pulsating on the deformed spacetimes and show that the corrections to the anomalous dimensions of operators in the dual SYM theory are non-negative. DOI: 10.1103/PhysRevD.73. 026007
An Experimental Evaluation of Point-To-Point Shortest Path Calculation on Road Networks with Precalculated Edge-Flags

We present an efficient algorithm for fast and exact calculation of shortest paths in graphs with geometrical information in nodes (coordinates), e.g. road networks. The method is based on preprocessing and therefore best suited for static graphs, i.e., graphs with fixed topology and edge costs. In the preprocessing phase, the network is divided into regions and edge flags are calculated that indicate whether an edge belongs to a shortest path into a given region. In the path calculation step, only those edges need to be investigated that carry the appropriate flag. We compared this method to a classical Dijksta implementation using USA road networks with travel times and report on speedup, preprocessing time, and memory needed to store edge flags.
Numerical Simulations of Globular Cluster Formation

We examine various physical processes associated with the formation of globular clusters by using the three-dimensional smoothed particle hydrodynamics (SPH) code. Our code includes radiative cooling of gases, star formation, energy feedback by stars including stellar winds and supernovae, and chemical enrichment by stars. We assume that, in the collapsing galaxy, isothermal cold clouds form through thermal condensations and become proto-globular clouds. We calculate the size of proto-globular clouds by solving the linearized equations for perturbation. We compute the evolution of the inner region of the protocloud with our SPH code for various initial radius and initial composition of gases. When the initial gases contain no heavy elements, the evolution of protoclouds sensitively depends on the initial radius. For a smaller initial radius, the initial starburst is so intense that the subsequent star formation occurs in the central regions to form a dense star cluster as massive as the globular cluster. When the initial gases contain some heavy elements, the metallicity of gases affects the evolution and the final stellar mass. If the initial radius of the proto-globular clouds was relatively large, the formation of a star cluster as massive as the globular clusters requires the initial metallicity as high as [Fe/H] ≥ -2. The self-enrichment of heavy elements in the star cluster does not occur in all cases.
iTRAQ protein profile analysis of neuroblastoma (NA) cells infected with the rabies viruses rHep-Flury and Hep-dG

The rabies virus (RABV) glycoprotein (G) is the principal contributor to the pathogenicity and protective immunity of RABV. In a previous work, we reported that recombinant rabies virus Hep-dG, which was generated by reverse genetics to carry two copies of the G-gene, showed lower virulence than the parental virus rHep-Flury in suckling mice with a better immune protection effect. To better understand the mechanisms underlying rabies virus attenuation and the role of glycoprotein G, isobaric tags for relative and absolute quantitation (iTRAQ) was performed to identify and quantify distinct proteins. 10 and 111 differentially expressed proteins were obtained in rHep-Flury and Hep-dG infection groups, respectively. Selected data were validated by western blot and qRT-PCR. Bioinformatics analysis of the distinct protein suggested that glycoprotein over-expression in the attenuated RABV strain can induce activation of the interferon signaling. Furthermore, it may promote the antiviral response, MHC-I mediated antigen-specific T cell immune response, apoptosis and autophagy in an IFN-dependent manner. These findings might not only improve the understanding of the dynamics of RABV and host interaction, but also help understand the mechanisms underlying innate and adaptive immunity during RABV infection.
A robust motion detection algorithm on noisy videos

The applicability and performance of motion detection methods dramatically degrade with the increasing noise. In this paper, we propose a robust dictionary-based background subtraction approach, which formulates background modeling as a linear and sparse combination of atoms in a pre-learned dictionary. Motion detection is then implemented to compare the difference between sparse representations of the current frame and the background model. The projection of noise over the dictionary being irregular and random guarantees the adaptability of our approach. Experimental results on synthetic and real noisy videos demonstrate the robustness of the proposed approach compared to other methods.
Observability metric for the relative localization of AUVs based on range and depth measurements: Theory and experiments

This paper addresses the problem of observability of the relative motion of two AUVs equipped with velocity and depth sensors, and inter-vehicle ranging devices. We start by exploiting nonlinear observability concepts to analyze, using observability rank conditions, some types of relative AUV motions. Because rank conditions only provide binary information regarding observability, we then derive a specific observability index (metric) and study its dependence on the types of relative motions executed by the vehicles. In particular, it is shown that the degradation of observability depends on the range and angle between the relative velocity and position vectors. The problem addressed bears affinity with that of single beacon localization. For this reason, the results derived are validated experimentally in a equivalent, single beacon navigation scenario.
“Why am I like this?” Consumers discuss their causal beliefs and stigma

ABSTRACT The stigma associated with mental illness has several negative consequences for consumers (e.g., discrimination in employment and accommodation, reduced help-seeking, increased social isolation) and impacts their quality of life. Consumers’ beliefs around the causes of mental illness are thought to influence stigma and self-stigma. This study aims to investigate the types of causal beliefs consumers endorse about their own mental illness, mental illness in general, and consumers’ beliefs about causes endorsed by the public. Moreover, this study explores the impact that these beliefs have on factors that influence stigma and self-stigma. A thematic framework guided the analysis of semi-structured interviews with 23 consumers who self-identified as having mental illness. Consumers endorsed multiple causes simultaneously and causes differed between their own mental illness, thinking about mental illness in general, and the causal beliefs perceived to be held by the public. The majority of consumers thought that mental illness in general was caused by a combination of biogenetic, psychological, and environmental factors. Consumers endorsed fewer causal beliefs when considering their own mental illness, with all consumers stating that environmental factors contributed to their illness. Consumers thought that the public had a narrower range of causal beliefs and tended to think the public believed personal weakness/choice caused mental illness. Findings extend previous research and show that consumers’ causal beliefs may have an impact on several factors (e.g., control and management of illness, self-blame, feelings of responsibility, perceptions towards self) which are thought to influence treatment, recovery, and stigma.
The subjective experience of integrating paraplegia into one’s life

This phenomenological study aimed to explore the subjective experience of integrating paraplegia into the lives of individuals who have sustained injuries causing paraplegia. Semistructured, in-depth individual interviews were conducted with six participants with paraplegia. The researcher utilised an availability sample by applying the snowball sampling method. Interviews were audio-recorded and transcribed verbatim. Transcripts were analysed using thematic content analysis. Initially a descriptive approach was followed and then an interpretive approach. The main themes that emerged, are: Outdoing adversity through posttraumatic growth; It is a unique life-long journey; It Takes Time; Initial Negative Appraisal; A Turning Point; Positive Reappraisal of Life; Positive Reappraisal of Self and a Positive Reappraisal of Relationships with Others. The findings suggest that all the participants have overcome adversity and have surpassed their lives prior to paraplegia by managing the challenges through personal and posttraumatic growth in the form of positive rumination, adjustment and active emotionand problem-focused coping. The limitations of the study included the absence of in-depth investigation of sexual intimacy and bowel and bladder issues, and the need for the inclusion of uneducated and socio-economic deprived paraplegics. Future studies may focus on differentiation by means of education, age, socioeconomic status and the cause of paraplegia, the integration of bowel and bladder regulation and sexual intimacy into the lives of the paraplegic individuals, their partners, caregivers and families. L RICHTER: EXPERIENCES OF INTEGRATING PARAPLEGIA 49 Word count: 223 Short Title: Subjective posttraumatic growth experiences in paraplegic individuals (
School Policy and Transgender Identity Expression: A Study of School Administrators’ Experiences

School administrators are charged with establishing and enforcing school policies that provide safe and equitable learning environments for all students while adhering to state and federal laws as well as adopted school board policies. This qualitative research focuses on school administrators’ experiences with transgender students’ identity expression as it relates to school policies and student body experiences of transgender inclusion. Implications for district and building policy are also discussed.
Can’t Count or Won’t Count? Embedding Quantitative Methods in Substantive Sociology Curricula: A Quasi-Experiment

This paper reports on a quasi-experiment in which quantitative methods (QM) are embedded within a substantive sociology module. Through measuring student attitudes before and after the intervention alongside control group comparisons, we illustrate the impact that embedding has on the student experience. Our findings are complex and even contradictory. Whilst the experimental group were less likely to be distrustful of statistics and appreciate how QM inform social research, they were also less confident about their statistical abilities, suggesting that through ‘doing’ quantitative sociology the experimental group are exposed to the intricacies of method and their optimism about their own abilities is challenged. We conclude that embedding QM in a single substantive module is not a ‘magic bullet’ and that a wider programme of content and assessment diversification across the curriculum is preferential.
Inside Jokes: Identifying Humorous Cartoon Captions

Humor is an integral aspect of the human experience. Motivated by the prospect of creating computational models of humor, we study the influence of the language of cartoon captions on the perceived humorousness of the cartoons. Our studies are based on a large corpus of crowdsourced cartoon captions that were submitted to a contest hosted by the New Yorker. Having access to thousands of captions submitted for the same image allows us to analyze the breadth of responses of people to the same visual stimulus. We first describe how we acquire judgments about the humorousness of different captions. Then, we detail the construction of a corpus where captions deemed funnier are paired with less-funny captions for the same cartoon. We analyze the caption pairs and find significant differences between the funnier and less-funny captions. Next, we build a classifier to identify funnier captions automatically. Given two captions and a cartoon, our classifier picks the funnier one 69% of the time for captions hinging on the same joke, and 64% of the time for any pair of captions. Finally, we use the classifier to find the best captions and study how its predictions could be used to significantly reduce the load on the cartoon contest's judges.
A Practical Network Coding Approach for Peer-to-Peer Distributed Storage

In this paper, we analyze the performance of a peer-to-peer (P2P) distributed storage network based on the overlay architecture defined by the Wuala project. Although the original system is based on efficient erasure codes, e.g., Reed-Solomon codes, we investigate the use of a "simple" network coding strategy, which leverages on the well-known idea of randomized network coding. In particular, when a resource is published in the network, the fragments are randomly encoded with a predetermined overhead, which is consistent with the erasure coding strategy. Moreover, no regular network maintenance is scheduled to guarantee that a client node is able to successfully complete a resource download. We instead propose that a client node generates new fragments, to be stored in the network, when it is able to successfully download the entire resource. Our simulation results show that this simple coding strategy reduces the amount of data flowing in the network, thus obtaining more free disk space on storage nodes.
Two-tier self-organizing visual model for road sign recognition

This paper attempts to model human brainpsilas cognitive process at the primary visual cortex to comprehend road sign. The cortical maps in visual cortex have been widely focused in recent research. We propose a visual model that locates road sign in an image and identifies the localized road sign. Gabor wavelets are used to encode visual information and extract features. Self-organizing maps are used to cluster and classify the road sign images. We evaluate the system with various test sets. The experimental results show encouraging recognition hit rates. There are quite a number of literatures introducing different approaches to classify road sign, but none has adopted unsupervised approach. This work makes use of two-tier topological maps to recognize road signs. First-tier map, called detecting map, filters out non-road sign images and regions. Second-tier map, called recognizing map, classifies a road sign into appropriate class.
Role of neutrophil proteinase 3 and mast cell chymase in chemerin proteolytic regulation

Chemerin is a potent chemotactic factor that was identified recently as the ligand of ChemR23, a G protein‐coupled receptor expressed by mononuclear phagocytes, dendritic cells (DCs), and NK cells. Chemerin is synthesized as a secreted precursor, prochemerin, which is poorly active on ChemR23. However, prochemerin can be converted rapidly into a full ChemR23 agonist by proteolytic removal of a carboxy‐terminal peptide. This maturation step is mediated by the neutrophil‐derived serine proteases elastase and cathepsin G. In the present work, we have investigated proteolytic events that negatively control chemerin activity. We demonstrate here that neutrophil‐derived proteinase 3 (PR3) and mast cell (MC) chymase are involved in the generation of specific chemerin variants, which are inactive, as they do not induce calcium release or DC chemotaxis. Mass spectrometry analysis showed that PR3 specifically converts prochemerin into a chemerin form, lacking the last eight carboxy‐terminal amino acids, and is inactive on ChemR23. Whereas PR3 had no effect on bioactive chemerin, MC chymase was shown to abolish chemerin activity by the removal of additional amino acids from its C‐terminus. This effect was shown to be specific to bioactive chemerin (chemerin‐157 and to a lesser extent, chemerin‐156), as MC chymase does not use prochemerin as a substrate. These mechanisms, leading to the production of inactive variants of chemerin, starting from the precursor or the active variants, highlight the complex interplay of proteases regulating the bioactivity of this novel mediator during early innate immune responses.
Considering adaptation in the development of context-aware systems for tele-rehabilitation

Context-aware systems are becoming more and more popular nowadays as they interact with users in a transparent and ubiquitous way. Healthcare, and namely tele-rehabilitation, is one of the main application domains that takes advantage of this context-awareness paradigm. These systems are able to adapt their behavior depending on the surrounding context (user, platform, environment). However, those adaptations do not always consider possible changes at every level in the system. On one hand, some systems are able to evolve the Software Architecture (SA) by modifying the configuration of architectural components, i.e. adaptation at architectural level. But many times, such systems neglect total or partially any possible change related to the Human-Computer Interaction (HCI) part of the system. On the other hand, there are other systems able to adapt their interaction capabilities, such as the user interface or the interaction modality, to new conditions, but disregarding any possible adaptation over the software architecture. Therefore, it is obvious that there is a clear need to attempt to align adaptation at both architectural and HCI level. This PhD thesis aims at shedding light on this issue by considering adaptation in those two facets (i.e. SA and HCI) and its alignment while developing context-aware systems for tele-rehabilitation of people. Hoy en dia, los sistemas sensibles al contexto estan siendo cada vez mas y mas populares gracias a su forma transparente y ubicua de interactuar con los usuarios. El cuidado de la salud, y, concretamente, la tele-rehabilitacion, es uno de los principales dominios de aplicacion que se beneficia de este paradigma de sensibilidad al contexto. Estos sistemas son capaces de adaptar su comportamiento, dependiendo del contexto que les rodea (usuario, plataforma, entorno). Sin embargo, estas adaptaciones no siempre tienen en cuenta posibles cambios a cualquier nivel del sistema. Por un lado, algunos sistemas son capaces de evolucionar la Arquitectura Software (AS), modificando la configuracion de los componentes arquitectonicos, es decir, realizan una adaptacion a nivel arquitectonico. Pero, muchas veces, dichos sistemas descuidan total o parcialmente cualquier posible cambio relativo a la parte Interaccion Persona-Ordenador (IPO) del sistema. Por otro lado, existen otros sistemas capaces de adaptar sus capacidades de interaccion, como la interfaz de usuario o la modalidad de interaccion, a las nuevas condiciones, pero ignoran cualquier posible adaptacion sobre la arquitectura software. Por tanto, es obvio que hay una necesidad clara de intentar alinear la adaptacion, tanto a nivel arquitectonico, como a nivel IPO. Esta tesis tiene como proposito arrojar algo de luz sobre esta cuestion, considerando la adaptacion en estas dos facetas (AS e IPO) y su alineacion durante el desarrollo de sistemas sensibles al contexto para tele-rehabilitacion de personas.