Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Internalized Racism and Marital Satisfaction

This investigation evaluates the extent to which level of marital satisfaction is affected by level of internalized racism in a sample of 96 Black inner-city couples. The hypothesis that internalized racism is inversely related to marital satisfaction is marginally to acceptably supported. Husbands reporting more internalized racism tended to report less marital satisfaction just as wives reporting more internalized racism tended to report less marital satisfaction. Marital satisfaction of wives was not affected directly by internalized racism of husbands, nor was marital satisfaction of husbands directly affected by internalized racism of wives. However, since marital satisfaction of husbands and wives was moderately correlated, it is possible that the effect of internalized racism of one spouse on marital satisfaction of the other is mediated through explanatory links identified in this paper. The role of socioeconomic status in mediating relationships between internalized racism and marital status is examined along with implications.
Macroautophagy is dispensable for growth of KRAS mutant tumors and chloroquine efficacy

Significance Kirsten rat sarcoma (KRAS) mutant tumors are believed to depend on autophagy for growth and survival. This study details the unexpected finding that autophagy-related 7, an enzyme essential for macroautophagy, can be deleted in several KRAS-driven cancer lines without affecting growth in vitro or in vivo. These data indicate that KRAS mutation status does not predict cell-autonomous addiction to autophagy. Furthermore, this report addresses a long-standing question regarding the mechanism of chloroquine, a lysosomotropic agent often used to interrogate effects of autophagy inhibition. Although chloroquine is antiproliferative and synergizes with targeted anticancer drugs, these effects are independent of macroautophagy. Future studies are needed to identify appropriate genetic stratification parameters to predict efficacy toward chloroquine and to characterize such agents further as anticancer combination partners. Macroautophagy is a key stress-response pathway that can suppress or promote tumorigenesis depending on the cellular context. Notably, Kirsten rat sarcoma (KRAS)-driven tumors have been reported to rely on macroautophagy for growth and survival, suggesting a potential therapeutic approach of using autophagy inhibitors based on genetic stratification. In this study, we evaluated whether KRAS mutation status can predict the efficacy to macroautophagy inhibition. By profiling 47 cell lines with pharmacological and genetic loss-of-function tools, we were unable to confirm that KRAS-driven tumor lines require macroautophagy for growth. Deletion of autophagy-related 7 (ATG7) by genome editing completely blocked macroautophagy in several tumor lines with oncogenic mutations in KRAS but did not inhibit cell proliferation in vitro or tumorigenesis in vivo. Furthermore, ATG7 knockout did not sensitize cells to irradiation or to several anticancer agents tested. Interestingly, ATG7-deficient and -proficient cells were equally sensitive to the antiproliferative effect of chloroquine, a lysosomotropic agent often used as a pharmacological tool to evaluate the response to macroautophagy inhibition. Moreover, both cell types manifested synergistic growth inhibition when treated with chloroquine plus the tyrosine kinase inhibitors erlotinib or sunitinib, suggesting that the antiproliferative effects of chloroquine are independent of its suppressive actions on autophagy.
A weighted cohort approach for analysing factors modifying disease risks in carriers of high‐risk susceptibility genes

The authors propose a novel approach to evaluate the effects of risk factors on disease risks in carriers of high‐penetrance alleles in disease susceptibility genes. Most studies to date have utilised data collected on carriers identified through ongoing genetic testing programs. The advantage of this approach is that it allows relatively large numbers of affected and unaffected carriers to be identified rapidly. However, genetic testing is targeted at individuals with a strong family history of disease, so that the selection of carriers is not random with respect to disease status. Risk factors are often analysed by standard cohort analysis methods, but these can be biased in retrospective studies if subjects are selected on the basis of phenotype. To overcome this problem, a weighted cohort approach is proposed, under which individuals are weighted according to certain sampling probabilities in order to mimic a true cohort. The method is illustrated by analyses of data from the International BRCA1/2 Carrier Cohort Study (IBCCS). Simulations demonstrate that the method gives rate ratio estimates that are close to unbiased provided that the absolute disease risks are well estimated. The power to detect associations is, however, reduced compared with an unweighted approach. Genet. Epidemiol. © 2005 Wiley‐Liss, Inc.
THE IMPACT OF RENEWABLE ENERGY CONSUMPTION ON CARBON DIOXIDE EMISSIONS: EMPIRICAL EVIDENCE FROM DEVELOPING COUNTRIES IN ASIA

This empirical study examines the relationship between environmental quality, economic development, renewable and non-renewable energy (RE) consumption in 13 developing countries in Asia. We use panel data in the period from 1980 to 2014 and panel cointegration, fully modified ordinary least squares (OLS) and dynamics OLS estimators are employed to test for cointegration in the long-run. The study confirms the existence of the inverted U-shape Environmental Kuznets Curve hypothesis in 13 Asia countries for both estimators with the increment of GDP per capita and conventional energy consumption decreasing the environmental quality. However, the empirical finding suggests that RE consumption is insignificant in contributing to less pollution regarding CO2 emissions. This study concludes that to comprehend better the potential factors affecting the CO2 emissions, the sampled countries can design a strategic plan to mitigate the rate of global warming and climate change, while at the same time stimulating economic development and promoting energy from eco-friendly resources.
A SPoARC in the Dark: Spatialization in Verbal Immediate Memory

In 2011, van Dijck and Fias described a positional SNARC (Spatial-Numerical Association of Response Codes) effect: the SPoARC (Spatial-Positional Association of Response Codes). To-be-remembered items (e.g., numbers, words) presented centrally on a screen seemed to acquire a left-to-right spatial dimension. If confirmed, this spatialization could be crucial for immediate memory theories. However, given the intricate links between visual and spatial dimensions, this effect could be due to the visual presentation (on a computer screen), which could have probed the left-to-right direction of reading/writing. To allow a generalization of this effect, we adapted van Dijck and Fias's (2011) task using an auditory version of Sternberg's paradigm. Lists of five consonants were auditorily presented at a rate of 3 s/item. A SPoARC effect was observed. The consequences are discussed first from an immediate memory perspective, putting forward the view that order could be coded through spatialization, and then in terms of similarities between SPoARC and SNARC.
A Comprehensive Survey on Image Search Using Binary Hash Codes

Effective content based Image Search based on hash codes is a very acceptable for efficient similarity search, due to its query time and storage efficiency. In binary hashing technique, first the high-dimensional visual features are extracted from images, then these extracted features are embedded into Hamming space and the distance or similarity of two points are approximately calculated by the Hamming distance between their binary codes. Though the Hamming distance calculation is efficient in practice, a query result is ambiguous as it returns multiple results sharing the same Hamming distance and poses a critical issue for similarity search where ranking is important. This paper presents a survey of various states-of-the-art- hashing techniques that allows faster visual similarity search in hamming space. And also discussed concept of weighted Hamming distance, which improve ranking performance of binary hash code so that result images can be ranked at fined grained level.
Ansiedade na performance musical: tradução, adaptação e validação do Kenny Music Performance Anxiety Inventory (K-MPAI) para a língua portuguesa

CONTEXTO: A performance musical requer alto nivel de habilidade em diversos parâmetros, como coordenacao motora, atencao e memoria, o que a torna particularmente suscetivel aos estados de ansiedade. Pesquisas nessa area tem avancado com a introducao de instrumentos especificos para abordar a ansiedade na performance musical, como e o caso da Kenny Music Performance Anxiety Inventory (K-MPAI). OBJETIVOS: O presente estudo teve como objetivo traduzir, adaptar e validar a K-MPAI para a lingua portuguesa. METODOS: Apos autorizacao da autora, a escala K-MPAI foi traduzida e validada. A escala em lingua portuguesa foi aplicada a 218 musicos de ambos os sexos, amadores e profissionais. Para a validacao concorrente, foi utilizado o Inventario de Ansiedade Traco-Estado (IDATE), versao validada na lingua portuguesa da State Trait Anxiety Inventory (STAI). RESULTADOS: A analise da consistencia interna apresentou alfa de Cronbach = 0,957 com p < 0,001, reprodutibilidade com p = 0,378 e validacao concorrente com a IDATE com alfa de Cronbach = 0,642 e p < 0,001. CONCLUSAO: O estudo permite considerar a amostra com graus de confiabilidade e reprodutibilidade elevados, o que traduz este estudo como provindo de uma amostra nao tendenciada e replicavel a outras populacoes. A validacao concorrente entre a K-MPAI e a IDATE permite inferir que ambas as escalas sao comparaveis na capacidade de medir os niveis de ansiedade em musicistas.
Mapping the intramolecular signal transduction of G‐protein coupled receptors

G‐protein coupled receptors (GPCRs), a major gatekeeper of extracellular signals on plasma membrane, are unarguably one of the most important therapeutic targets. Given the recent discoveries of allosteric modulations, an allosteric wiring diagram of intramolecular signal transductions would be of great use to glean the mechanism of receptor regulation. Here, by evaluating betweenness centrality (CB) of each residue, we calculate maps of information flow in GPCRs and identify key residues for signal transductions and their pathways. Compared with preexisting approaches, the allosteric hotspots that our CB‐based analysis detects for A2A adenosine receptor (A2AAR) and bovine rhodopsin are better correlated with biochemical data. In particular, our analysis outperforms other methods in locating the rotameric microswitches, which are generally deemed critical for mediating orthosteric signaling in class A GPCRs. For A2AAR, the inter‐residue cross‐correlation map, calculated using equilibrium structural ensemble from molecular dynamics simulations, reveals that strong signals of long‐range transmembrane communications exist only in the agonist‐bound state. A seemingly subtle variation in structure, found in different GPCR subtypes or imparted by agonist bindings or a point mutation at an allosteric site, can lead to a drastic difference in the map of signaling pathways and protein activity. The signaling map of GPCRs provides valuable insights into allosteric modulations as well as reliable identifications of orthosteric signaling pathways. Proteins 2014; 82:727–743. © 2013 Wiley Periodicals, Inc.
Mutations that render the promoter of the histidine operon of Salmonella typhimurium insensitive to nutrient-rich medium repression and amino acid downshift

The effects of mutations in the promoter of the histidine operon of Salmonella typhimurium were examined in vivo. The wild-type chromosomal copy of the his promoter was replaced with mutations in the -10 hexamer sequence and in the region between the -10 hexamer and the transcriptional start point-termed the discriminator sequence. The substitutions were performed with a phage M13 allele replacement system. Expression of the his operon is known to correlate with levels of guanosine 5',3'-bispyrophosphate (ppGpp) in vivo. Strains containing either the wild-type his promoter or his promoter mutations were grown in both nutrient-rich and minimal media under steady-state conditions known to alter intracellular levels of ppGpp in a predictable way. The effect of the presence or absence of the his attenuator was assessed under these conditions as well. Expression of the his operon was studied by measuring the differential rate of beta-galactosidase synthesis with a his-lac transcriptional fusion. Regulation of the his operon in the promoter mutants was also studied under conditions of a transient amino acid downshift induced by the addition of serine hydroxamate to cultures growing in nutrient-rich medium. These growth conditions cause elevated levels of ppGpp. The results provide physiological confirmation of previous evidence obtained with a coupled transcription-translation system in vitro which indicated that ppGpp regulates interaction of RNA polymerase at the his promoter. More specifically, the in vivo evidence shows that the region of the his promoter that includes the -10 hexamer and discriminator sequences is the target at which ppGpp stimulates transcription.
Automatic identification of oil sucker pipe using character coding

As there is lack of valid marking of oil sucker pipe, some pipes which exceeding time limits may break off. The character coding method is presented, soft touch flexible marking technology is used to marking characters on pipe, characters can hold for a long time in erosive environment. Each pipe has each code using character coding method. Pipe is automatically identified using CCD and image processing technology, the pipe which exceeding time limits can be identified in time. The dynamic management can be achieved for a single pipe from use, maintenance to abandon using database system.
Experience-based co-design in an adult psychological therapies service

Abstract Background: Experience-based co-design (EBCD) is a methodology for service improvement and development, which puts service-user voices at the heart of improving health services. Aims: The aim of this paper was to implement the EBCD methodology in a mental health setting, and to investigate the challenges which arise during this process. Method: In order to achieve this, a modified version of the EBCD methodology was undertaken, which involved listening to the experiences of the people who work in and use the mental health setting and sharing these experiences with the people who could effect change within the service, through collaborative work between service-users, staff and managers. Results: EBCD was implemented within the mental health setting and was well received by service-users, staff and stakeholders. A number of modifications were necessary in this setting, for example high levels of support available to participants. Conclusions: It was concluded that EBCD is a suitable methodology for service improvement in mental health settings.
Probabilistic saliency approach for elongated structure detection using deformable models

We address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active contour models. We consider the formulation of saliency in terms of visual similarity embedded in the probabilistic principal component analysis framework. A likelihood of object structure detection is obtained using the relation between the visual field and the internal object representation. Deformable models are employed introducing a computational methodology for a perceptual organisation of image features as an abstract understanding of the integration between structure and constraints of the visual information-processing problem. A specific application of the integrated approach for vessels segmentation in angiography is considered and the results are encouraging.
Generating Dense Point Matches Using Epipolar Geometry

Dense point matches are generated over two images by rectifying the two images to align epipolar lines horizontally, and horizontally sliding a template. To overcome inherent limitations of 2-D search, we incorporate the “naturalness of the 3-D shape” implied by the resulting matches. After stating our rectification procedure, we introduce our multi-scale template matching scheme and our outlier removal technique using tentatively reconstructed 3-D shapes. Doing real image experiments, we discuss the performance of our method and remaining issues.
Egocentric Perception using a Biologically Inspired Software Retina Integratedwith a Deep CNN

We presented the concept of of a software retina, capable of significant visual data reduction in combination with scale and rotation invariance, for applications in egocentric and robot vision at the first EPIC workshop in Amsterdam [9]. Our method is based on the mammalian retino-cortical transform: a mapping between a pseudo-randomly tessellated retina model (used to sample an input image) and a CNN. The aim of this first pilot study is to demonstrate a functional retina-integrated CNN implementation and this produced the following results: a network using the full retino-cortical transform yielded an F1 score of 0.80 on a test set during a 4-way classification task, while an identical network not using the proposed method yielded an F1 score of 0.86 on the same task. On a 40K node retina the method reduced the visual data bye×7, the input data to the CNN by 40% and the number of CNN training epochs by 36%. These results demonstrate the viability of our method and hint at the potential of exploiting functional traits of natural vision systems in CNNs. In addition, to the above study, we present further recent developments in porting the retina to an Apple iPhone, an implementation in CUDA C for NVIDIA GPU platforms and extensions of the retina model we have adopted.
Dominant Spectrum Assignment For Neutral Time Delay Systems: A Study Case

This paper is aimed at the presentation of a suboptimal numerical algorithm that has been designed for the assignment of a finite dominant part of the infinite eigenvalue spectrum of a strongly stable neutral time delay control system. Once a structure of a conventional finite-dimensional controller for a delayed controlled plant is suggested, desired loci of a sufficient number of feedback poles are selected, according to required dynamical properties. The goal is to bring the dominant spectrum to prescribed one as close as possible. The first step of the procedure insists in the use of the QuasiContinuous Shifting Algorithm (QCSA). Then, the results are enhanced by an optimization procedure for a suitable objective function. The presented methodology is demonstrated by a simulation example of control of an unstable time delay system (TDS) in the MATLAB/Simulink environment. Some possibilities how to adjust the algorithm are given to the reader as well.
Reducing Rape-Myth Acceptance in Male College Students: A Meta-Analysis of Intervention Studies.

A meta-analysis was performed on studies evaluating interventions designed to reduce rape-supportive beliefs in order to clarify which strategies are most effective. Results indicate that human sexuality courses, workshops, video interventions and other formats all appear to be successful strategies for reducing rape myth acceptance, although, these interventions may only have short-term benefits.
EVIDENCE BASE UPDATE Evidence Base Updates : The Evolution of the Evaluation of Psychological Treatments for Children and Adolescents

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Acceleration of of ( generalized ) Fourier series by the d-transformation

Dedicated to Prof Gatteschi on the occasion of his 70th In this paper we consider the efficient acceleration of the convergence of classical Fourier series and their such as and Fourier-Bessel series, and many others as well. A common approach to this has been the application of nonlinear sequence transformations to the series in question. Most well known sequence transformations, are either ineffective in general, or lose their effectiveness near points of of the limit functions. The recent d-transformation of Levin and on the other hand, has 'been observed to be very effective on a family of infinite series that includes the Fourier series above when applied in the manner. In the present work we propose a new approach involving the d-transformation for the efficient summation of Fourier by which we very accurate and stable approxlmations in an economical way. In this nm'AQ,'h one first extends the series in a suitable fashion by the cOlTe~;oondJmg functions of the second kind, and then the d-transformation to the extended series with the few parameters of the transformation properly adjusted. This new is economical in the sense for a level of accuracy, the number of terms of the series that it uses in the acceleration is about half the number used when applying the d-transfor­ mation directly to the given series. In addition, it achieves high accuracy in a stable way near points of the limit function. it is also very effective for series. We give a detailed convergence and to the new in an important special case. We also demonstrate the effectiveness of this approach with numerical-a.l;"U 1. lllJ:11l , Fourier Fourier-Bessel series, series of