Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Female Promiscuity Increase Religious Beliefs? Testing the Male Control Theory versus the Female Control Theory

Most psychological articles examining religion treat this construct as either an independent or controlled variable. Few studies have addressed the possibility that religiosity may shift as a function of environmental cues (i.e., that religiosity may be studied as a dependent variable). Among these studies, even fewer have looked into how religion may be a viable means to suppressing the sexuality of others, particularly that of females. My work aims to test two theories as to which sex stifles female sexual behavior the most. I examined whether reading about a highly versus a less promiscuous target affects participants’ religiosity and whether the sex of the target and the participant interact in this effect. A series of ANCOVAs revealed that, while promiscuity levels did not seem to affect religiosity, target and participant sex did interact, with men reporting less religiosity when presented with same-sex targets but females not varying significantly as a result of the target’s sex. Results support the existing research that religiosity is a more flexible construct than previously thought.
Cerebrospinal fluid white cell count to red cell count ratio as a predictor of ventriculitis in patients with external ventricular drains

External ventricular drain (EVD) associated ventriculitis is a complication of EVD placement associated with significant morbidity and mortality. Gold‐standard for EVD associated bacterial ventriculitis diagnosis involves cerebrospinal fluid (CSF) sampling from the EVD with microscopy, culture and sensitivity testing. The ratio of white blood cells to red blood cells has anecdotally been considered a predictive factor in diagnosing EVD associated ventriculitis, however no study has been done demonstrating this.
MCMBP promotes the assembly of the MCM2–7 hetero-hexamer to ensure robust DNA replication in human cells

The MCM2–7 hetero-hexamer is the replicative DNA helicase that plays a central role in eukaryotic DNA replication. In proliferating cells, the expression level of the MCM2–7 hexamer is kept high, which safeguards the integrity of the genome. However, how the MCM2–7 hexamer is assembled in living cells remains unknown. Here, we revealed that the MCM-binding protein (MCMBP) plays a critical role in the assembly of this hexamer in human cells. MCMBP associates with MCM3 which is essential for maintaining the level of the MCM2–7 hexamer. Acute depletion of MCMBP demonstrated that it contributes to MCM2–7 assembly using nascent MCM3. Cells depleted of MCMBP gradually ceased to proliferate because of reduced replication licensing. Under this condition, p53-positive cells exhibited arrest in the G1 phase, whereas p53-null cells entered the S phase and lost their viability because of the accumulation of DNA damage, suggesting that MCMBP is a potential target for killing p53-deficient cancers.
Optimization of ultrasound-assisted aqueous two-phase system (ATPS) of phenolics from apple pulp and peel

Abstract In this study, extraction of phenolic compounds from apple peel and pulp was optimized using an ultrasound-assisted aqueous two-phase system (UA-ATPS) consisting of acetone-NaH2PO4 and acetone-(NH4)2SO4 with the help of Response Surface Methodology. The effectiveness of UA-ATPS was compared with certain extraction methods including traditional aqueous two-phase system (T-ATPS), ultrasound-assisted acetone extraction (UA-ACE) and traditional acetone extraction (T-ACE). The UA-ATPS gave better results than traditional methods in terms of phenolic and flavonoid contents and antioxidant activity values regardless of the fruit parts used. The status of extraction yield was observed with three major phenolics of apple including chlorogenic acid, rutin and phloridzin. Striking increases in chlorogenic acid and rutin contents in the peel were determined when acetone was replaced with ATPS in the same extraction system with equal extraction time (20 min). The present study has indicated that UA-ATPS is an effective method for phenolic extraction from apple peel and pulp.
Videoconferencing in Pressure Injury: Randomized Controlled Telemedicine Trial in Patients With Spinal Cord Injury

Background Geographical, financial and travel-related barriers may impact access to necessary health care for people in need of long-term follow-up. Objective The goal of the research was to perform a nonblinded, randomized, controlled trial on health-related quality of life (HRQoL), healing, interaction, and satisfaction of patients with spinal cord injury (SCI) and PI receiving multidisciplinary videoconference consultations from a wound clinic to the participant’s home versus regular outpatient care. The multidisciplinary team consisted of a medical doctor, a wound nurse, and an occupational therapist. In both groups, district nurses attended the consultations at the participant’s home. Methods A total of 56 participants, 28 in each group, were randomized to a videoconference group (VCG) or a regular care group (RCG). Validated questionnaires were used to measure and compare the follow-up effect on HRQoL. Percentage reduction of wound volume was measured at end of the follow-up. A Likert scale was used to measure the satisfaction of the patients and district nurses regarding the interaction between different modalities of care in the 2 groups. Results The HRQoL did not show significant differences between the 2 groups (P values ranging from .09 to .88) or the rate of PI healing, experienced interaction, and satisfaction in the groups. A total of 67% (37/55) of all PIs healed, 64% (18/28) in the VCG and 70% (19/27) in the RCG. Mean reduction in ulcer volume was 79% in the VCG and 85% in the RCG (P=.32). A Kaplan-Meier plot with a logrank test regarding time to healing did not show any significant difference between the 2 groups. Conclusions Videoconference-based care seems to be a safe and efficient way to manage PIs in terms of HRQoL, healing, interaction, and satisfaction compared to conventional care for people with SCI. This should be considered when planning for future care. SCI has a huge impact on the individual, the family, and the health care system. There is an urgent need to improve systems of care so that individuals who live far from specialists and require long-term follow-up for conditions such as PI can get optimal treatment. Trial Registration ClinicalTrials.gov NCT02800915; https://clinicaltrials.gov/ct2/show/NCT02800915 and Current Research Information System in Norway (CRISTIN) 545284; https://app.cristin. no/projects/show.jsf? id=545284
The Association Between Dating Violence and Student Absenteeism Among a Representative Sample of U.S. High School Students: Findings From the 2019 Youth Risk Behavior Survey Survey

Student absenteeism affects students’ engagement in school and academic and professional success. While research documents a significant association between school bullying/fighting and student absenteeism due to fear of being at school or getting to school, little research has examined the association of adolescent dating violence (ADV) victimization with this type of absenteeism. This study examined the relationship between physical and/or sexual ADV victimization in the past year (dichotomized as yes or no), and number of days of student absenteeism due to feeling unsafe at school or on the way to school in the past month (dichotomized as any vs. none). We analyzed cross-sectional data from the 2019 Youth Risk Behavior Survey (YRBS), a nationally representative survey of U.S. high school students (n = 9507). We conducted crude and multivariate regression models for the total sample and stratified by sex to assess our hypothesized association of ADV victimization and absenteeism; sex, grade, race/ethnicity, and sexual identity were included as covariates in adjusted models. Findings demonstrate that students reporting past year ADV victimization had 3.69 times the odds of student absenteeism due to feeling unsafe, when compared to students who did not report ADV victimization (95% CI: 3.06–4.45, p < 0.001). Sex-stratified models reveal that this effect is significantly stronger for males than for females, as indicated by non-overlapping confidence intervals (male AOR: 5.67, 95% CI: 4.18–7.68; female AOR: 2.95, 95% CI: 2.32–3.74). The multivariate models also show that Black and Latinx compared with White students, and lesbian/gay/bisexual/unsure compared with heterosexual students, had higher odds of student absenteeism due to feeling unsafe. Findings indicate the need to address ADV victimization and student absenteeism with integrated and gender-tailored responses, and with consideration of greater vulnerabilities for queer students and students of color.
Phosphorylation of Yun is required for stem cell proliferation and tumorigenesis

Stem cells maintain adult tissue homeostasis under physiological conditions. Uncontrolled stem cell proliferation will lead to tumorigenesis. How stem cell proliferation is precisely controlled is still not fully understood. Phosphorylation of Yun is essential for ISC proliferation. Yun is essential for the proliferation of normal and transformed intestinal stem cells. Our mass spectrometry and biochemical data suggest that Yun can be phosphorylated at multiple residues in vivo. Interestingly, we show that the phosphorylation among these residues is likely interdependent. Furthermore, phosphorylation of each residue in Yun is important for its function in ISC proliferation regulation. Thus, our study unveils the important role of post‐translational modification of Yun in stem cell proliferation.
Presence of Viable, Clinically Relevant Legionella Bacteria in Environmental Water and Soil Sources of China

Pathogenic Legionella spp. is the causative agent of Legionnaires’ disease (LD), and L. pneumophila is the most common one. Most studies have focused on L. pneumophila from water and clinical samples. ABSTRACT The distribution of pathogenic Legionella in the environmental soil and water of China has not been documented yet. In this study, Legionella was detected in 129 of 575 water (22.43%) and 41 of 442 soil samples (9.28%) by culture. Twelve Legionella species were identified, of which 11 were disease-associated. Of the Legionella-positive samples, 109 of 129 (84.50%) water and 29 of 41 (70.73%) soil were positive for L. pneumophila, which accounted for about 75% of Legionella isolates in both water and soil, suggesting L. pneumophila was the most frequent species. Soil showed a higher diversity of Legionella spp. as compared with water (0.6279 versus 0.4493). In contrast, serogroup (sg) 1 was more prevalent among L. pneumophila isolates from water than from soil (26.66% versus 12.21%). Moreover, many disease-associated sequence types (STs) of L. pneumophila were found in China. Intragenic recombination was acting on L. pneumophila from both water and soil. Phylogeny, population structure, and molecular evolution analyses revealed a probable existence of L. pneumophila isolates with a special genetic background that is more adaptable to soil or water sources and a small proportion of genetic difference between water and soil isolates. The detection of viable, clinically relevant Legionella demonstrates soil as another source for harboring and dissemination of pathogenic Legionella bacteria in China. Future research should assess the implication in public health with the presence of Legionella in the soil and illustrate the genetic and pathogenicity difference of Legionella between water and soil, particularly the most prevalent L. pneumophila. IMPORTANCE Pathogenic Legionella spp. is the causative agent of Legionnaires’ disease (LD), and L. pneumophila is the most common one. Most studies have focused on L. pneumophila from water and clinical samples. However, the soil is another important reservoir for this bacterium, and the distribution of Legionella spp. in water and soil sources has not been compared and documented in China yet. Discovering the distribution of Legionella spp. and L. pneumophila in the two environments may help a deep understanding of the pathogenesis and molecular evolution of the bacterium. Our research systematically uncovered the distributions of Legionella spp. in different regions and sources (e.g., water and soil) of China. Moreover, phylogeny, population structure, and molecular evolution study revealed the possible existence of L. pneumophila with a special genetic background that is more adaptable to soil or water sources, and genetic difference may exist.
Robust Online Tensor Completion for IoT Streaming Data Recovery

Reliable data measurement is considered to be one of the critical ingredients for variant Internet of Things (IoT) applications. Gaining full knowledge of measurement data is becoming increasingly crucial to ensure a satisfactory user experience. However, data missing and corruption are inevitable in practical applications, which motivates us to study how to accurately recover the missing IoT measurement data in the presence of outliers. The data recovery problem can be formulated as a tensor completion (TC) problem. Existing TC methods are built on the assumption that the rank of the underlying tensor is fixed, which is not suitable for long data sequences in practice. Consequently, based on the characteristics of IoT streaming data, we assume that the data tensor lies in time-varying subspace, and an accurate estimate of the rank is a prerequisite for filling the missing entries and achieving robustness of the variations in both rank and noise. We built up an updatable framework based on dynamic CANDECOMP/PARAFAC (CP) decomposition. In addition, an efficient algorithm, called temporal multi-aspect streaming (T-MUST), is introduced to solve the optimization problem that originates in our developed model. It is worth noting that the proposed algorithm allows time-varying tensor rank and enables the rank changes could be detected and tracked automatically. Theoretical analysis indicates that T-MUST enjoys a geometric convergence rate. Numerical experiments conducted on various synthetic and real-world datasets empirically validate the superiority of the proposed T-MUST in both efficiency and effectiveness.
Political Organisation as a Result of Development of the Subjectivity of a Large Group

Based on Roberto Assagioli’s model of personality, a model of the collective subject in the archetypal dimension was developed, and its basic parameters were determined in the process of its creation. In particular, it was found that the role of the collective conscious for such a subject is performed by a communication platform, where those involved in interaction can focus on objects located there. Important factors that contribute to and restrict the functioning of such a communication platform include the number of participants, intensity and duration of their interaction. The key factor that determines the direction of the synchronisation processes of mental activity of individual members of the base community is the nature of relationship of their interaction positions resulting from their formal and informal group statuses. The biological nature of people launches and supports the process of their status ranking, which leads to regression of the collective subjectivity of the group to the individual subjectivity of its leader. This led to the conclusion that a necessary condition for the creation of subject political organizations as a part of larger groups is the availability of safeguards that do not allow them to transform into a crowd. Thus, communication platforms can be seen as an intermediate link that connects a real collective subject and its model developed by us, and makes it possible to modify its qualities by organizational tools and their corresponding social technologies. To successfully construct subjective political organisations – i.e. social model multi-intelligent systems consisting of large groups of people – based on the presented model and analysis of its basic aspects, we developed the variable structure – dynamic network and a corresponding integral set of social technologies of organisational activity. The dynamic network integrates the method of brainstorming, cross-group method and technologies of project management.
An internship in psychiatric genetic counseling: Impact on genetic counseling graduates' practice and career choices

Though psychiatric genetic counseling has been shown to have meaningful positive impacts on patient outcomes, there is currently only one specialist psychiatric genetic counseling clinic (located in Vancouver, BC). The service is inconsistently offered elsewhere, leaving this patient population largely underserved. In an effort to expand psychiatric genetic counseling, the clinic in Vancouver has been providing specialist internship training to genetic counseling students since 2012. This study explored the impact of the internship training on genetic counseling graduates’ careers. Using an interpretive description approach, we recorded and transcribed interviews with past interns. Coding and data analysis were conducted concurrently. The interview guide was iteratively revised through the interview process and memoing was used to record ideas about the data and interviews throughout. From interviews with 15 past interns, we generated a theoretical model—‘a fragile dream, easily broken’—describing the impact of the training on participants' careers. Completing an internship in psychiatric genetic counseling positively influenced participants’ desire to provide psychiatric genetic counseling; however, most were unable to find work in the subspecialty. Some participants made efforts to create specialist positions for themselves, but setbacks and hurdles left many feeling defeated, resulting in them accepting established roles in other disciplines. We contextualize our findings in a discussion of what may be needed in order to successfully expand psychiatric genetic counseling.
A realist evaluation case study of the implementation of advanced nurse practitioner roles in primary care in Scotland

Abstract Aim To evaluate Advanced Nurse Practitioner (ANP) role implementation in primary care across Scotland in contributing to primary care transformation, and establish what works, for whom, why and in what context. Design A realist evaluation using multiple case studies. Methods Two phases, conducted March 2017 to May 2018: (1) multiple case studies of ANP implementation in 15 health boards across Scotland, deductive thematic analysis of interviews, documentary analysis; (2) in‐depth case studies of five health boards, framework analysis of interviews and focus groups. Results Sixty‐eight informants were interviewed, and 72 documents were reviewed across both phases. ANP roles involved substitution for elements of the GP role for minor illness and injuries, across all ages. In rural areas ANPs undertook multiple nursing roles, were more autonomous and managed greater complexity. Mechanisms that facilitated implementation included: the national ANP definition; GP, primary care team and public engagement; funding for ANP education; and experienced GP supervisors. Contexts that affected mechanisms were national and local leadership; remote, rural and island communities; and workload challenges. Small‐scale evaluations indicated that ANPs: make appropriate decisions; improve patient access and experience. Conclusions At the time of the evaluation, the implementation of ANP roles in primary care in Scotland was in early stages. Capacity to train ANPs in a service already under pressure was challenging. Shifting elements of GPs workload to ANPs freed up GPs but did little to transform primary care. Local evaluations provided some evidence that ANPs were delivering high‐quality primary care services and enhanced primary care services to nursing homes or home visits. Impact ANP roles can be implemented with greater success and have more potential to transform primary care when the mechanisms include leadership at all levels, ANP roles that value advanced nursing knowledge, and appropriate education programmes delivered in the context of multidisciplinary collaboration.
Validating a Semi-Automated Technique for Segmenting Femoral Articular Cartilage on Ultrasound Images

Objective To validate a semi-automated technique to segment ultrasound-assessed femoral cartilage without compromising segmentation accuracy to a traditional manual segmentation technique in participants with an anterior cruciate ligament injury (ACL). Design We recruited 27 participants with a primary unilateral ACL injury at a pre-operative clinic visit. One investigator performed a transverse suprapatellar ultrasound scan with the participant’s ACL injured knee in maximum flexion. Three femoral cartilage ultrasound images were recorded. A single expert reader manually segmented the femoral cartilage cross-sectional area in each image. In addition, we created a semi-automatic program to segment the cartilage using a random walker-based method. We quantified the average cartilage thickness and echo-intensity for the manual and semi-automated segmentations. Intraclass correlation coefficients (ICC2,k) and Bland-Altman plots were used to validate the semi-automated technique to the manual segmentation for assessing average cartilage thickness and echo-intensity. A dice correlation coefficient was used to quantify the overlap between the segmentations created with the semi-automated and manual techniques. Results For average cartilage thickness, there was excellent reliability (ICC2,k = 0.99) and a small mean difference (+0.8%) between the manual and semi-automated segmentations. For average echo-intensity, there was excellent reliability (ICC2,k = 0.97) and a small mean difference (−2.5%) between the manual and semi-automated segmentations. The average dice correlation coefficient between the manual segmentation and semi-automated segmentation was 0.90, indicating high overlap between techniques. Conclusions Our novel semi-automated segmentation technique is a valid method that requires less technical expertise and time than manual segmentation in patients after ACL injury.
MDICC: novel method for multi-omics data integration and cancer subtype identification

Each type of cancer usually has several subtypes with distinct clinical implications, and therefore the discovery of cancer subtypes is an important and urgent task in disease diagnosis and therapy. Using single-omics data to predict cancer subtypes is difficult because genomes are dysregulated and complicated by multiple molecular mechanisms, and therefore linking cancer genomes to cancer phenotypes is not an easy task. Using multi-omics data to effectively predict cancer subtypes is an area of much interest; however, integrating multi-omics data is challenging. Here, we propose a novel method of multi-omics data integration for clustering to identify cancer subtypes (MDICC) that integrates new affinity matrix and network fusion methods. Our experimental results show the effectiveness and generalization of the proposed MDICC model in identifying cancer subtypes, and its performance was better than those of currently available state-of-the-art clustering methods. Furthermore, the survival analysis demonstrates that MDICC delivered comparable or even better results than many typical integrative methods.