Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship Between Anxiety and Sexual Functioning in Lesbians and Heterosexual Women

The association between anxiety and sexual functioning was studied in relation to women's sexual orientation. Participants in lesbian relationships (n = 42) and heterosexual relationships (n = 78) completed the Multidimensional Anxiety Questionnaire and Female Sexual Function Index. No difference was found between groups on the anxiety measure, but lesbians scored higher than heterosexuals on sexual functioning scales for arousal and orgasm. Intercorrelations among sexual functioning scales were dissimilar for lesbians and heterosexuals. Among heterosexuals, anxiety was negatively correlated with overall sexual functioning, lubrication, orgasm, and pain, but among lesbians anxiety was uncorrelated with all sexual functioning variables.
Generic Security Service Application Program Interface

This Generic Security Service Application Program Interface (GSS-API) definition provides security services to callers in a generic fashion, supportable with a range of underlying mechanisms and technologies and hence allowing source-level portability of applications to different environments. This specification defines GSS-API services and primitives at a level independent of underlying mechanism and programming language environment, and is to be complemented by other, related specifications:
What do patients receiving palliative care for cancer and their families want to be told? A Canadian and Australian qualitative study

Objective To obtain feedback from patients receiving palliative care and their relatives from various ethnic backgrounds about their experiences of the disclosure process and their satisfaction with information sharing during the illness. Design A qualitative study with semistructured single interviews. Setting Perth, Western Australia, and Winnipeg, Manitoba, Canada. Participants 72 participants registered with palliative care: 21 patient-family dyads in Perth and 14 dyads and 2 patients in Winnipeg. Results Participants described their experiences in great detail. The analysis indicates that in information sharing the process is as important as the content. The timing, management, and delivery of information and perceived attitude of practitioners were critical to the process. This applied to information interactions at all stages of the illness. Main content areas mentioned related to prognosis and hope. Hope can be conveyed in different ways. Secondary information from various sources is accessed and synthesised with the primary information. All patients, regardless of origin, wanted information about their illness and wanted it fully shared with relatives. Almost all patients requested prognostic information, and all family members respected their wishes. Information was perceived as important for patient-family communication. Information needs of patient and family changed and diverged as illness progressed, and communication between them became less verbally explicit. Conclusions Information delivery for patients needs to be individualised with particular attention to process at all stages of illness. Patients and families use secondary sources of information to complement and verify information given by health carers.
Fuzzy adaptive decentralized prescribed performance control for large-scale nonlinear systems

A prescribed performance fuzzy adaptive decentralized control scheme is developed for a class of large-scale nonlinear systems with unknown control direction. The fuzzy systems are employed to approximate the unknown nonlinear functions, and the multiple Nussbaum-type functions are used to resolve the unknown control direction problem. By using the prescribed performance bounds, an adaptive fuzzy decentralized controller is developed. The proposed scheme can ensure the boundedness of all closed-loop signals and make the tracking errors converge to a prescribed bounds. The simulation example highlights the effectiveness of this scheme.
HCMUS team at the Multimodal Person Discovery in Broadcast TV Task of MediaEval 2016

We present the method of the HCMUS team participating in Multimodal Person Discovery in Broadcast TV Task at the MediaEval Challenge 2016. There are two main processes in our method. First we identify a list of potential characters of interest from all video clips. Each potential character is defined as a pair of face track, a sequence of face patches, and a name. We use OCR results and face detection to find potential characters. We also apply several simple techniques to check the consistency of linking a name with a face track to reduce potential wrong matching pairs. Then we detect face patches from test video shots with cascade DPM, extract deep features from face patches using a very deep Convolutional Neural Network, and classify faces using SVM.
Analysis of the Effects of Chromatin Modifying Complexes on the Transcription of Retrotransposon Ty2-917 in Saccharomyces cerevisiae

Transcription of the yeast retrotransposon Ty2-917 is regulated by a complex set of regulatory regions located both upstream and downstream of the transcription initiation site. In this study, it was found that certain chromatin modifying factors are essential for the transcriptional regulation of Ty2-917. Among the chromatin binding factors tested in this research, non-histone proteins Nhp6A/B have the largest effect on the transcription of Ty2-917. In Dnhp6A/B double mutant yeast strain transcription of Ty2 decreased 20-fold, indicating that these non-histone proteins are essential for the transcription of Ty2-917. Furthermore, it was also shown that the transcription of Ty2-917 decreased by 2-fold in the in Disw2 mutant, which shows that Isw2p is also involved in the activation of Ty2-917 transcription. In addition, results of this research show that the Spt7p, which is the critical subunit of SAGA complex, is essential for the maximal level transcription of Ty2-917.
Carbohydrate intake, glycemic index and glycemic load in relation to risk of endometrial cancer: A prospective study of Swedish women

The associations of carbohydrate intake, glycemic index and glycemic load with endometrial cancer risk were examined among 61,226 participants of the Swedish Mammography Cohort who were cancer‐free at enrollment between 1987 and 1990 and completed a food frequency questionnaire. During a mean follow‐up of 15.6 years, through June 2005, 608 incident cases of endometrial adenocarcinoma were diagnosed. We observed no overall association between carbohydrate intake, glycemic index or glycemic load and incidence of endometrial cancer; the rate ratios (RRs) for the highest versus the lowest quintile were 1.12 (95% CI, 0.85–1.47) for carbohydrate intake, 1.00 (95% CI, 0.77–1.30) for glycemic index and 1.15 (95% CI, 0.88–1.51) for glycemic load. However, among obese women (body mass index, BMI ≥30 kg/m2), endometrial cancer incidence was nonsignificantly elevated in the top versus bottom quintiles of carbohydrate intake (RR, 1.68; 95% CI, 0.86–3.29) and glycemic load (RR, 1.57; 95% CI, 0.82–2.99). In a subanalysis of women who completed a follow‐up questionnaire in 1997, which collected information on physical activity, carbohydrate intake and glycemic load were positively related to endometrial cancer risk among overweight women (BMI ≥25 kg/m2) with low physical activity. In this subgroup, the multivariate RRs comparing extreme quartiles were 1.90 (95% CI, 0.84–4.31) for carbohydrate intake and 2.99 (95% CI, 1.17–7.67) for glycemic load. Results from this cohort study suggest that a high carbohydrate intake and a high glycemic load may increase the risk of endometrial cancer among overweight women with low physical activity. © 2006 Wiley‐Liss, Inc.
From Governance to Adaptability: The Mediating Effect of IT Executives' Managerial Capabilities

The empirical research presented in this paper corroborated that the managerial capabilities of IT executives fully mediate the effect of IT governance on enterprise adaptability, and indirectly mediate the effect of business governance through its direct effect on IT governance. It also showed that IT and business executives hold different views about the two respective governance systems. Organizations therefore should emphasize the development of IT executives' managerial capabilities in order to achieve IT-enabled enterprise adaptability.
OpenLabNotes – An Electronic Laboratory Notebook Extension for OpenLabFramework

Summary Electronic laboratory notebooks (ELNs) are more accessible and reliable than their paper based alternatives and thus find widespread adoption. While a large number of commercial products is available, small- to mid-sized laboratories can often not afford the costs or are concerned about the longevity of the providers. Turning towards free alternatives, however, raises questions about data protection, which are not sufficiently addressed by available solutions. To serve as legal documents, ELNs must prevent scientific fraud through technical means such as digital signatures. It would also be advantageous if an ELN was integrated with a laboratory information management system to allow for a comprehensive documentation of experimental work including the location of samples that were used in a particular experiment. Here, we present OpenLabNotes, which adds state-of-the-art ELN capabilities to OpenLabFramework, a powerful and flexible laboratory information management system. In contrast to comparable solutions, it allows to protect the intellectual property of its users by offering data protection with digital signatures. OpenLabNotes effectively closes the gap between research documentation and sample management, thus making Open- LabFramework more attractive for laboratories that seek to increase productivity through electronic data management.
Issues and challenges in RSSI based target localization and tracking in wireless sensor networks

Moving target localization & tracking has been currently widely addressed area of research because of its lot of significance in broad varying applications. The major approaches for target localization & tracking in a defined WSN are Range Based, Range Free, Prediction Filter based Approaches aimed at achieving either Localization & Tracking accuracy or Energy Efficiency or Security or combination of these depending upon application at hand. Besides other range based techniques (TOA, TDOA, AOA) aimed at localization/tracking, RSSI-based approach is most widely used in spite of various challenges associated with it. The most important reason is that it does not need the extra hardware as most of electronic gadgets have built-in RSSI Circuitry to read RSS. By exploiting this RSSI measurement, one can find distance between transmitter & receiver using a suitable mathematical model of signal attenuation. However due to high dynamicity of wireless environment, the RSSI measurements are notoriously unpredictable. This paper discusses the RSSI based localization & tracking problem in detail & also surveys various other solutions proposed by the research community in the domain. Recent strategies to improve localization accuracy & tracking accuracy in RSSI based systems especially for dynamic environments & open research issues are also discussed as well.
Towards genome-wide experimental genetics in the in vivo malaria model parasite Plasmodium berghei

Abstract Plasmodium berghei was identified as a parasite of thicket rats (Grammomys dolichurus) and Anopheles dureni mosquitoes in African highland forests. Successful adaptation to a range of rodent and mosquito species established P. berghei as a malaria model parasite. The introduction of stable transfection technology, permitted classical reverse genetics strategies and thus systematic functional profiling of the gene repertoire. In the past 10 years following the publication of the P. berghei genome sequence, many new tools for experimental genetics approaches have been developed and existing ones have been improved. The infection of mice is the principal limitation towards a genome-wide repository of mutant parasite lines. In the past few years, there have been some promising and most welcome developments that allow rapid selection and isolation of recombinant parasites while simultaneously minimising animal usage. Here, we provide an overview of all the currently available tools and methods.
Séparation de sources audio en milieu réverbérant : Factorisation en matrices non-négatives et représentation temporelle du mélange convolutif

Cet article traite du probleme de separation de sources audio sous-determine pour les melanges reverberants multi- canaux. Nous visons une application semi-aveugle ou les filtres de melange sont connus. La methode proposee consiste a travailler directement avec les signaux temporels du melange. Cette approche permet de representer de facon exacte le processus de melange convolutif, elle est donc adaptee pour la separation de melanges fortement reverberants. Les signaux sources sont quant a eux representes dans le domaine de la transformee en cosinus discrete modifiee, en utilisant un modele gaussien base sur la factorisation en matrices non-negatives. L'inference des sources repose sur un algorithme esperance-maximisation variationnel. Nous montrons experimentalement l'interet d'utiliser conjointement une representation temporelle du melange convolutif et un modele de source base sur la factorisation en matrices non-negatives.
Sex Steroids and Breast Cancer: An Overview

Sex steroids, also known as sex hormones are synthesized naturally by the gonads (ovaries or testes). The two main classes of sex steroids, androgens and estrogens, are crucial hormones for the proper development and function of the body; they regulate sexual differentiation, the secondary sex characteristics, and sexual habits. They are also well known to influence many common cancers, especially hormonally driven cancers such as breast and prostate cancer. In this report, we review the association of sex steroids with cancer and the potential use of endocrine manipulation in cancer therapy as well as the limitations and challenges faced in this field.
Low protein Z levels and risk of occurrence of deep vein thrombosis

Summary. Background: Protein Z (PZ) serves as a cofactor for activated factor X inhibition by the PZ‐dependent protease inhibitor. In vivo and in vitro studies aimed at investigating the role of PZ levels in venous thombosis have produced conflicting results. Objectives: We investigated whether reduced PZ levels and PZ gene common variants are associated deep vein thrombosis (DVT). Patients and methods: In 197 patients with DVT and in 197 age‐matched and sex‐matched controls, PZ plasma levels and gene polymorphisms were evaluated by means of an enzyme‐linked immunosorbent assay and direct cycle sequence analysis. Results: Similar PZ levels were found in controls (1.44; SD 0.63 μg mL−1) and in patients (1.44; SD 0.96 μg mL−1). The incidence of PZ levels below the 5.0 (0.52 μg mL−1) or the 2.5 percentile of controls (0.47 μg mL−1) was higher in patients (10.2% and 8.7%, respectively) than in controls {4.1% [odds ratio (OR) 2.7, 95% confidence interval (CI) 1.2–7.3], and 2.0% (OR 4.6, 95% CI 1.5–13.9), respectively}. This relationship was independent of the effect of age, sex, and factor V Leiden and FII A20210 alleles [OR 2.8 (95% CI 1.1–7.3), and OR 4.9 (95% CI 1.4–17.3)]. PZ levels were associated with the intron C G‐42A and the intron F G79A polymorphisms in cases (r2 = 0.129) and in controls (r2 = 0.140). However, frequencies of the PZ gene polymorphisms were similar in the two groups and were not associated with very low PZ levels. Conclusions: The present data suggest an association between very low PZ plasma levels and the occurrence of DVT, with PZ gene polymorphisms contributing little to this relationship.
A survey of reinforcement learning research and its application for multi-robot systems

Reinforcement learning aims to obtain optimal/suboptimal strategy through trial-and-error and interaction with dynamic environment. After an introduction of basic knowledge of reinforcement learning, TD algorithm, Q-learning algorithm, Dyna algorithm and Sarsa algorithm base on Markov decision model are discussed, respectively. Moreover, reinforcement learning based on partially observable Markov decision process and semi-Markov decision model for uncertain environment are analyzed, respectively. The research status of Q learning in the field of multi-robot systems is also presented. Finally, the main challenges and further research work are given.
Maintenance of Stemlike Glioma Cells and Microglia in an Organotypic Glioma Slice Model.

BACKGROUND The therapeutic resistance of gliomas is, at least in part, due to stemlike glioma cells (SLGCs), which self-renew, generate the bulk of tumor cells, and sustain tumor growth. SLGCs from glioblastomas (GB) have been studied in cell cultures or mouse models, whereas little is known about SLGCs from lower grade gliomas. OBJECTIVE To compare cell and organotypic slice cultures from GBs and lower grade gliomas and study the maintenance of SLGCs. METHODS Cells and tissue slices from astrocytomas, oligodendrogliomas, oligoastrocytomas, and GBs were cultivated in (1) serum-free medium supplemented with the growth factors epidermal growth factor (EGF) and basic fibroblast growth factor (bFGF), (2) medium containing 10% serum plus EGF and bFGF (F+GF medium), or (3) medium containing 10% fetal calf serum (F medium). Maintenance of cells and cytoarchitecture was addressed, using several candidate SLGC markers (Nestin, Sox2, CD133, CD44, CD49f/integrin α6, and Notch) as well as CD31 (endothelial cells), ionized calcium-binding adapter molecule 1 (microglia), and vimentin. Cell vitality was determined. RESULTS SLGCs were present in tissue slices from lower and higher grade gliomas. Preservation of the cytoarchitecture in slices was possible for >3 weeks. Maintenance of SLGCs required the presence of EGF/bFGF in cell and slice cultures, in which F+GF appeared superior to N medium. Constraints were observed regarding the preservation of the microglia but not of the endothelial cells. Maintenance of the microglia was improved by addition of the cytokine macrophage colony-stimulating factor. CONCLUSION Medium supplemented with serum and growth factors EGF, bFGF, and macrophage colony-stimulating factor permits the preservation of SLGCs and non-SLGCs in the original glioma microenvironment.
On-line Tracking of Fuel Cell System Impedance Using Extended Kalman Filter

On-line Tracking of Fuel Cell System Impedance Using Extended Kalman Filter Andrej Debenjak*, Matej Gasperin, Janko Petrov i a,c Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia University of West Bohemia, Faculty of Electrical Engineering, RICE, Univerzitni 26, 306 14 Pilsen, Czech Republic Centre of Excellence for Low-carbon Technologies – CO NOT, Hajdrihova 19, 1000 Ljubljana, Slovenia andrej.debenjak@ijs.si
Src-mediated Tyrosine Phosphorylation of Dynamin Is Required for β2-Adrenergic Receptor Internalization and Mitogen-activated Protein Kinase Signaling*

Some forms of G protein-coupled receptor signaling, such as activation of mitogen-activated protein kinase cascade as well as resensitization of receptors after hormone-induced desensitization, require receptor internalization via dynamin-dependent clathrin-coated pit mechanisms. Here we demonstrate that activation of β2-adrenergic receptors (β2-ARs) leads to c-Src-mediated tyrosine phosphorylation of dynamin, which is required for receptor internalization. Two tyrosine residues, Tyr231 and Tyr597, are identified as the major phosphorylation sites. Mutation of these residues to phenylalanine dramatically decreases the c-Src-mediated phosphorylation of dynamin following β2-AR stimulation. Moreover, expression of Y231F/Y597F dynamin inhibits β2-AR internalization and the isoproterenol-stimulated mitogen-activated protein kinase activation. Thus, agonist-induced, c-Src-mediated tyrosine phosphorylation of dynamin is essential for its function in clathrin mediated G protein-coupled receptor endocytosis.
Inconsistency Resolution Method for RBAC Based Interoperation

In this paper, we propose an inconsistency resolution method based on a new concept, insecure backtracking role mapping. By analyzing the role graph, we prove that the root cause of security inconsistency in distributed interoperation is the existence of insecure backtracking role mapping. We propose a novel and efficient algorithm to detect the inconsistency via finding all of the insecure backtracking role mappings. Our detection algorithm will not only report the existence of inconsistency, but also generate the inconsistency information for the resolution. We reduce the inconsistency resolution problem to the known Minimum-Cut problem, and based on the results generated by our detection algorithm we propose an inconsistency resolution algorithm which could guarantee the security of distributed interoperation. We demonstrate the effectiveness of our approach through simulated tests and a case study.
Autosomal Recessive Spinocerebellar Ataxia 7 (SCAR7) is Caused by Variants in TPP1, The Gene Involved in Classic Late‐Infantile Neuronal Ceroid Lipofuscinosis 2 Disease (CLN2 Disease)

Spinocerebellar ataxias are phenotypically, neuropathologically, and genetically heterogeneous. The locus of autosomal recessive spinocerebellar ataxia type 7 (SCAR7) was previously linked to chromosome band 11p15. We have identified TPP1 as the causative gene for SCAR7 by exome sequencing. A missense and a splice site variant in TPP1, cosegregating with the disease, were found in a previously described SCAR7 family and also in another patient with a SCAR7 phenotype. TPP1, encoding the tripeptidyl‐peptidase 1 enzyme, is known as the causative gene for late infantile neuronal ceroid lipofuscinosis disease 2 (CLN2 disease). CLN2 disease is characterized by epilepsy, loss of vision, ataxia, and a rapidly progressive course, leading to early death. SCAR7 patients showed ataxia and low activity of tripeptidyl‐peptidase 1, but no ophthalmologic abnormalities or epilepsy. Also, the slowly progressive evolution of the disease until old age and absence of ultra structural curvilinear profiles is different from the known CLN2 phenotypes. Our findings now expand the phenotypes related to TPP1‐variants to SCAR7. In spite of the limited sample size and measurements, a putative genotype–phenotype correlation may be drawn: we hypothesize that loss of function variants abolishing TPP1 enzyme activity lead to CLN2 disease, whereas variants that diminish TPP1 enzyme activity lead to SCAR7.
Mass distribution and bulge formation in the Milky Way galaxy

In its first part, this paper summarizes recent work on the mass and shape of the Galactic dark halo. The second part presents a review of the large-scale structure of the Milky Way, and of the evidence that the inner Galaxy is dominated by baryonic matter. This is briefly compared with the predictions of Λ CDM and MOND. Finally, a summary is given of bulge formation from clumpy, gas-rich disks, a process which may give rise to old, disk-like, α -rich bulges similar to the Galactic bulge.
Religious Beliefs, Faith Community Involvement and Depression: A Study of Rural, Low-Income Mothers

ABSTRACT The current study investigated the connection between religion and mental health of 131 rural, low-income mothers. Two dimensions of religion, beliefs and faith community involvement, were included and depression was assessed by the CES-D. The sample consisted of mothers who participated in Wave 2 of a multi-state research project. As hypothesized, both religious beliefs and faith community involvement were negatively related to depressive symptoms indicating that mothers with stronger religious beliefs and more involvement in religious activities may experience less depressive symptoms. The results of the current study confirm previous work and support a multifaceted view of religion.