Miracle-dz/UniFAR-FTUs huggingface dataset:
Sexual Disharmony in Menopausal Women and Their Husband: A Qualitative Study of Reasons, Strategies, and Ramifications

Objectives The goal of this study was to explore perceptions and experiences of general practitioners and midwives during sexual dialogue with menopausal women. Methods In a descriptive exploratory qualitative study, 13 midwives and 12 general practitioners were selected using a semi-structured interview and purposive sampling method. Data analysis was conducted using qualitative content analysis adopted by Graneheim and Lundman. Results Through data analysis “sexual disharmony” emerged as a central theme, which included three categories of reasons, strategies, and ramifications of sexual disharmony. Reasons for sexual disharmony included subcategories of aging and health related-problems, marital problems, and stereotypical perceptions regarding menopause and sexuality and daily concerns. Strategies used by couples to address sexual disharmony consisted of changing roles and values, pretending to reach orgasm, suppressing sexual desire, meeting sexual needs of husbands in accordance with religious rules, seeking help of peers, seeking friends or traditional medicine and health providers, seeking a help charmer, engaging in sex with other women to fulfill sexual needs, pretending to be moody to alleviate sexual tension. Sexual disharmony may lead to spending money on a prostitute instead of engaging in sex out of wedlock or a surge in social pathologies such as sexually transmitted disease. Conclusions Healthcare providers must be aware of various sexual behavior of menopausal women and their husbands when they detect sexual disharmony in their patients. Results of this study can facilitate development of restricted guidelines for sexual discussion with menopausal women.
Antibodies recognising sulfated carbohydrates are prevalent in systemic sclerosis and associated with pulmonary vascular disease

Background Glycosylation represents an important modification that regulates biological processes in tissues relevant for disease pathogenesis in systemic sclerosis (SSc), including the endothelium and extracellular matrix. Whether patients with SSc develop antibodies to carbohydrates is not known. Objectives To determine the prevalence and clinical phenotype associated with serum IgG antibodies recognising distinct glycans in patients with SSc. Methods Pooled serum samples from patients with SSc and controls were screened for the presence of specific anticarbohydrate antibodies using a novel array containing over 300 glycans. Antibody titres to 4-sulfated N-acetyl-lactosamine (4S-LacNAc, (4OSO3)Galβ1-4GlcNAc) were determined in 181 individual serum samples from patients with SSc by ELISA and associated with disease phenotype. Results 4S-LacNAc was identified as a target in pooled SSc serum. Anti-4S-LAcNAc antibodies were detected in 27/181 patients with SSc (14.9%) compared with 1/40 healthy controls (2.5%). Sulfation at position C4 of galactose (4S-LacNAc) was found to be critical for immunogenicity. Anti-4S-LacNAc antibody-positive patients with SSc had a higher prevalence of pulmonary hypertension by echocardiography than anti-4S-LacNAc-negative patients (15/27 (55.7%) vs 49/154 (31.8%), p=0.02) with an OR of 2.6 (95% CI 1.1 to 6.3). Anti-4S-LacNAc-positive patients accounted for 23.4% of all patients with pulmonary hypertension. Conclusion Serum from patients with SSc contains IgG antibodies targeting distinct sulfated carbohydrates. The presence of anti-4S-LacNAc antibodies is associated with a high prevalence of pulmonary hypertension. These results suggest that specific post-translational carbohydrate modifications may act as important immunogens in SSc and may contribute to disease pathogenesis.
MOCVD Growth and Investigation of InGaN/GaN Heterostructure Grown on AlGaN/GaN-on-Si Template

The investigation of the III-V nitride-based driving circuits is in demand for the development of GaN-based power electronic devices. In this work, we aim to grow high-quality InGaN/GaN heterojunctions on the n-channel AlGaN/GaN-on-Si high electron mobility transistor (HEMT) templates to pursue the complementary p-channel conductivity to realize the monolithic integrated circuits. As the initial step, the epitaxial growth is optimized and the structure properties are investigated by comparing with the InGaN/GaN heterojunctions grown on GaN/sapphire templates. It is found that both the In composition and relaxation degree are higher for the InGaN/GaN on the HEMT template than that on the sapphire substrate. The crystalline quality is deteriorated for the InGaN grown on the HEMT template, which is attributed to the poor-quality GaN channel in the HEMT template. Further analysis indicates that the higher In incorporation in the InGaN layer on the HEMT template may be caused by the higher relaxation degree due to the compositional pulling effect. An increase in the growth temperature by 20 °C with optimized growth condition improves the crystalline quality of the InGaN, which is comparable to that on GaN/sapphire even if it is grown on a poor-quality GaN channel.
The effect of teacher leader interactions with teachers on student achievement: a predictive study.

THE EFFECT OF TEACHER LEADER INTERACTIONS WITH TEACHERS ON STUDENT ACHIEVEMENT: A PREDICTIVE STUDY Winifred R. Cohron May 2009 Research literature acknowledges the importance of teacher leadership in school reform initiatives. The literature is replete with qualitative studies describing the experience of teacher leadership in its variety of enactments. The meager amount of existing quantitative data suggests that teacher leadership may have no impact on student learning. This non-experimental, quantitative study examined the relationship between specific teacher leader interactions with teachers and student achievement. Using an online survey, participants responded to online survey questions about their interactions with teachers around five leadership constructs identified by Lambert (1998) and adapted by the researcher with permission from Dr. Lambert and the Association for Supervision and Curriculum Development (ASCD). The constructs included (a) broad-based and skillful participation in the work of leadership; (b) inquiry-based use of information to inform shared decisions and practice; (c) roles and responsibilities that reflect broad involvement and collaboration; (d) reflective practice/innovation as the norm; and, (e) high student achievement. Student achievement was measured using
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization

Boolean matrix factorization (BMF) is a popular and powerful technique for inferring knowledge from data. The mining result is the Boolean product of two matrices, approximating the input dataset. The Boolean product is a disjunction of rank-1 binary matrices, each describing a feature-relation, called pattern, for a group of samples. Yet, there are no guarantees that any of the returned patterns do not actually arise from noise, i.e., are false discoveries. In this paper, we propose and discuss the usage of the false discovery rate in the unsupervised BMF setting. We prove two bounds on the probability that a found pattern is constituted of random Bernoulli-distributed noise. Each bound exploits a specific property of the factorization which minimizes the approximation error---yielding new insights on the minimizers of Boolean matrix factorization. This leads to improved BMF algorithms by replacing heuristic rank selection techniques with a theoretically well-based approach. Our empirical demonstration shows that both bounds deliver excellent results in various practical settings.
Morphological Biomarker Differentiating MCI Converters from Nonconverters: Longitudinal Evidence Based on Hemispheric Asymmetry

Identifying subjects with mild cognitive impairment (MCI) who may probably progress to Alzheimer's disease (AD) is important for better understanding the disease mechanisms and facilitating early treatments. In addition to the direct volumetric and thickness measurement based on high-resolution magnetic resonance imaging (MRI), hemispheric asymmetry could be a potential index to detect morphological variations in MCI patients with a high risk of conversion to AD. The present study collected a set of longitudinal MRI data from 53 MCI converters and nonconverters and investigated the asymmetry differences between groups. Asymmetry variation was observed in the medial temporal lobe, especially in the entorhinal cortex, between converters and nonconverters 3 years before the former developed AD. The proposed asymmetry analysis was observed to be sensitive to detect morphological changes between groups as compared to the methods of voxel-based morphometry (VBM) and thickness measurement. Hemispheric asymmetry in specific brain regions as a neuroimaging biomarker can provide helpful information for prediction of MCI conversion.
Gender disparities in preterm neonatal outcomes

From birth to old age, males generally have poorer disease outcomes compared to females. Preterm infants display a marked gender disparity in disease outcomes, and the underlying mechanisms are not well delineated. Our aim was to review the literature on clinical outcomes between preterm infants of different genders and discuss the potential mechanisms underlying the differences observed.
5G Micro-operators for the future campus: A techno-economic study

In this paper, we propose a deployment framework for future indoor small cell networks that will be beneficial for the venue owner/campus, micro-operator (uO), end-users and Mobile Network Operators (MNOs). The research is motivated by ongoing struggle to improve indoor coverage, to meet ever increasing capacity demands and to develop 5G access solutions to be ready for future use cases. The framework conceives an indoor small cell deployment for the campus, operated and managed by the uO, which leverages network slicing to provide the campus with local customized service, while at the same time also acting as a neutral host for participating MNOs. The proposed framework will be beneficial in terms of reduced costs, additional revenues, dedicated services, coverage, and spectrum utilization. In the end, the framework is contended to be economically viable and more beneficial than Wi-Fi deployments. The total cost of ownership (TCO) is calculated per access point type and then the TCO for current total capacity is calculated for each option. The analysis shows that although small cells are expensive on a unit basis but the overall network can be cheaper and more beneficial than a Wi-Fi deployment.
Estimation of Risk Countermeasure Effects Based Upon Project-Behavior Simulation System

There is no doubt that IT (Information Technologies) systems are essential as social infrastructure or enterprise infrastructure. However, the success rate of IT system development projects is not so high. In order to enhance the success rate of IT system development projects, it is important to take proper countermeasures against identified project risks. In this article, the authors apply the project-behavior simulation system, which have been prototyped by authors and is able to simulate projects behaviors as the propagation of risk or issue situations in projects, in order to estimate the effects of risk countermeasures on projects. Four scenarios are supposed. In each scenario, risk countermeasure is taken against specific risky project situation. Then, the effects of risk countermeasures in each scenario are estimated as simulation results. In order to validate the estimations of risk countermeasure effects, questionnaire surveys to project management experts are conducted. The results of surveys show that the estimations of risk countermeasures quite fit the experts own experiences except for the unrealistic risk countermeasures.
The use of long non-coding RNAs as prognostic biomarkers and therapeutic targets in prostate cancer

Prostate cancer is the most common cancer in men and the second leading cause of cancer-related deaths. The most used biomarker to detect prostate cancer is Prostate Specific Antigen (PSA), whose levels are measured in serum. However, it has been recently established that molecular markers of cancer should not be based solely on genes and proteins but should also reflect other genomic traits; long non-coding RNAs (lncRNAs) serve this purpose. lncRNAs are transcripts of >200 bases that do not encode proteins and that have been shown to display abnormal expression profiles in different types of cancer. Experimental studies have highlighted lncRNAs as potential biomarkers for prognoses and treatments in patients with different types of cancer, including prostate cancer, where the PCA3 lncRNA is currently used as a diagnostic tool and management strategy. With the development of genomic technologies, particularly next-generation sequencing (NGS), several other lncRNAs have been linked to prostate cancer and are currently under validation for their medical use. In this review, we will discuss different strategies for the discovery of novel lncRNAs that can be evaluated as prognostic biomarkers, the clinical impact of these lncRNAs and how lncRNAs can be used as potential therapeutic targets.
The Church Bridge Project: An Academic–Community Perspective of a Church-Based Weight Management Pilot Intervention among Young Adult African Americans

Abstract:Background: Churches are effective community partners and settings to address weight management among African Americans. There is limited information on the use of churches to reach young adult populations and church collaborations with primary care clinics.Objectives: The Church Bridge Project represents a community–academic partnership that presents the recruitment process of a church-based weight management intervention and describes baseline data of participants recruited from churches and primary care providers. We also discuss research contributions, challenges and limitations, study applicability, and practice implications from an academic and community perspective.Methods: Church leaders were involved in the entire research process. The theory-driven intervention included 12 diabetes prevention program-adapted education and motivational interviewing (MI)-guided sessions. Participants were recruited through primary care providers and church leaders. Demographics, medical and weight history, stage of change for weight loss, social support, and self-efficacy for diet and physical activity, weight, and girth circumferences were measured. Baseline descriptive data were analyzed.Results: Of 64 potential participants, 42 (65.6%) were enrolled in the study and 16 (25.0%) completed baseline data collection. No participants were recruited through primary care providers. Recruited participants were similar to the target population except for being all obese and mostly female. The mean ± SD age of participants was 34.31 ± 8.86 years with most reporting having more than a high school education (n = 14 [87.5%]), individual yearly income of less than $59,000 (n = 12 [75.0%]), and been married or living with a partner (n = 9 [56.3%]). Most reported a history of hypertension and an immediate family history of diabetes and hypertension. Most participants were classified as class III obesity.Conclusions: Young adults and primary care providers are difficult to engage in church-based interventions. Church leaders were comfortable with a collaborate model for decision making, but not an empower model. Churches remain a successful method to reach African Americans; however, more research is needed to motivate young adults to participate in health intervention research.
Mapping the Decision to Quit: A Refinement and Test of the Unfolding Model of Voluntary Turnover

We report a test of an influential theory of employee turnover: the unfolding model (Lee & Mitchell, 1994; Lee, Mitchell, Holtom, McDaniel, & Hill, 1999). We describe and critique this classificatory model, and propose both theory-based and empirical refinements. The two extant tests of the current version of the model have both been with accountants in the United States, so the generalisability of the model is as yet unproven. We present results of an attempt to classify 352 nurse leavers from the United Kingdom's National Health Service using the unfolding model. In contrast to the findings of Lee et al. (1999), the model failed to classify a substantial number of nurse leavers, and specific hypotheses derived from the model received only partial support. Classification failures were investigated using both quantitative and qualitative data. Leavers were more likely to be classified if they had no dependants and described their quit as avoidable. Although the unfolding model incorporates more kinds of turnover than traditional turnover models, such systematic classification failure casts doubt on claims that it offers a comprehensive account of turnover. We explain failures with reference to: (i) shortcomings in a key measure; (ii) the characteristics of the occupational group studied; and (iii) the extremely tight labor market for this group of leavers.
Atomic-level characterization and cilostazol affinity of poly(lactic acid) nanoparticles conjugated with differentially charged hydrophilic molecules

Nanotherapeutics is a promising field for numerous diseases and represents the forefront of modern medicine. In the present work, full atomistic computer simulations were applied to study poly(lactic acid) (PLA) nanoparticles conjugated with polyethylene glycol (PEG). The formation of this complex system was simulated using the reactive polarizable force field (ReaxFF). A full picture of the morphology, charge and functional group distribution is given. We found that all terminal groups (carboxylic acid, methoxy and amino) are randomly distributed at the surface of the nanoparticles. The surface design of NPs requires that the charged groups must surround the surface region for an optimal functionalization/charge distribution, which is a key factor in determining physicochemical interactions with different biological molecules inside the organism. Another important point that was investigated was the encapsulation of drugs in these nanocarriers and the prediction of the polymer–drug interactions, which provided a better insight into structural features that could affect the effectiveness of drug loading. We employed blind docking to predict NP–drug affinity testing on an antiaggregant compound, cilostazol. The results suggest that the combination of molecular dynamics ReaxFF simulations and blind docking techniques can be used as an explorative tool prior to experiments, which is useful for rational design of new drug delivery systems.
Every post matters: A survey on applications of sentiment analysis in social media

Social media is often used by people to express their views about everything around them. Twitter is considered as a major microblogging site where each post by the user is publicly available. Due to the public availability, it makes Twitter the most popular social media for analysis of opinions of the masses for various purposes. These purposes range from predicting an election winner to identifying the polarity of people towards a particular brand. This paper provides an introduction to Sentiment Analysis and the importance of pre-processing of texts in social media. With a detailed description of how performance evaluation is done, it looks into research works which make use of Twitter data in order to obtain insightful details in various domains and help identify the trending research areas within Social Media Analysis.
Optimal Taxation and Indeterminacy in the Uzawa-Lucas Model with Sector-specific Externalities

In an extended Uzawa-Lucas model that includes labor-leisure decisions, sector-speci c externalities in the production of goods generate a market failure relative to the socially optimal decisions. We show that, regardless of whether agents value pure or effective units of leisure, the first best solution can be attained either by using a time-varying subsidy to the human capital employed to produce goods or by combining consumption and labor income taxes with this type of subsidy. Moreover, when leisure is de ned as raw time, we fi nd that even when there is global determinacy, local indeterminacy may arise for several combinations of the parameters that are consistent with empirical evidence and previous literature. Importantly, under local indeterminacy the optimal policy does not ensure that identical economies will converge to the same per capita levels. Thus, not only the size and type of human capital externalities are important for optimal policy but also the indeterminacy aspects are relevant.
The effect of HRM attributions on emotional exhausation and the mediating roles of job involvement and work intensification

Although some research suggests that perceptions of HRM practices are associated with lower levels of employee wellbeing, other research shows just the opposite. In the present study, we attempt to reconcile these discrepant findings by incorporating the role of HRM attributions. Our model posits that when employees perceive that their organisation’s HRM practices are intended to improve their job performance, they experience higher levels of job involvement, which leads to lower levels of emotional exhaustion. Conversely, when employees believe that their organisation’s HRM practices are intended to reduce organisational costs, they experience work overload, which translates into higher levels of emotional exhaustion. Parallel mediation analyses of survey data collected from employees of a construction and consultancy organisation at two time periods (n=180) supported this theoretical model.
SBL-Based Joint Sparse Channel Estimation and Maximum Likelihood Symbol Detection in OSTBC MIMO-OFDM Systems

This paper presents sparse Bayesian learning (SBL)-based schemes for approximately sparse channel estimation in an orthogonal space-time block coded (OSTBC) multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) wireless system. The parameterized prior-based SBL framework is employed to present a pilot scheme for an ill-posed OSTBC MIMO-OFDM channel estimation scenario. Maximum likelihood symbol detection (MLSD) has been incorporated in the expectation-maximization framework for SBL-based channel estimation. This has led to the development of a novel scheme for joint approximately sparse channel estimation and symbol detection. The proposed scheme performs SBL-based channel estimation in the E-step followed by a modified ML decision metric-based symbol detection in the M-step. Bayesian Cramér–Rao bounds are obtained for the genie minimum mean-squared error estimators corresponding to the SBL schemes. Closed-form bit error probability expressions are derived for the MLSD in the presence of SBL-based channel estimation errors. Simulation results are presented towards the end to validate the theoretical bounds and illustrate the performance of the proposed techniques.
International School Teachers' Professional Development in Response to the Needs of Third Culture Kids in the Classroom

This chapter draws on an exploratory qualitative study of 20 teaching staff at an international school in Singapore to examine the professional development needs of international school teachers in response to the needs of Third Culture Kids (TCKs). It explores what the needs of TCKs are, whether teachers at an international school in Singapore have the skills and competencies to be responsive to these needs, and where gaps in professional development for international schoolteachers may exist. Evidence shows that no professional development training in relation to TCKs is provided specific to the international context in which teachers are employed. Issues that are poorly addressed include staff induction, student transitions and identity issues, language support, pastoral care, and curriculum training. Findings contribute to the educational leadership and management of international schoolteachers by contextualizing professional development as a facet of organizational leadership.