Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence of cervical intraepithelial neoplasia in antenatal women by screening: A study in a semi urban area

Background: The cervical cancer is often said to occur in the low socio-economic conditions present in the countries where facilities for planning, obstetric health and gynecological health conditions are poor with almost no cervical screening programmes.3 In India, the cervical cancer is that the commonest of all cancers in women and has known to account for 16% of them. a number of the risk factors stated are multiple sexual partners, early age at the primary coitus, or partner with multiple sexual partners. Materials and methods: This study was conducted by the department of Gynaecology at a Private hospital over a time period of two year. 900 antenatal patients attending the Gynecology OPD were randomly selected for the study and the patients with excessive and active vaginal bleeding, draining of liquor, excessive vaginal discharge, women with frank lesions on the cervix were excluded from the study. The informed consent letter was obtained by the patients. Information regarding their obstetric and gynaecological condition and the marital status were recorded. Results: The overall mean age of the women in the study was around 25 years. The mean age at the time of menarche was around 14 years and at the time of marriage was approximately 22 years. On Pap smear, 55.5% of the 900 cases were normal, with inflammation seen in 350 (38.88%) of the cases. 28 patients (3.11%) had squamous metaplasia. Conclusion: There is a low incidence of cervical intraepithelial neoplasia in our study. Early detection of the same can lead to a proper and efficient treatment with conservative management so as to not affect the growing fetus as well as the mother and it is also imperative to educate the women the symptoms of the disease as well as the practices that can lead to it along with the prevention.
Targeting Super-Enhancer-Driven Oncogenic Transcription by CDK7 Inhibition in Anaplastic Thyroid Carcinoma.

Background: Anaplastic thyroid carcinoma (ATC) is one of the most aggressive malignancies, with no effective treatment currently available. The molecular mechanisms of ATC carcinogenesis remain poorly understood. The objective of this study was to investigate the mechanisms and functions of super-enhancer (SE)-driven oncogenic transcriptional addiction in the progression of ATC and identify new drug targets for ATC treatments. Methods: High-throughput chemical screening was performed to identify new drugs inhibiting ATC cell growth. Cell viability assay, colony formation analysis, cell-cycle analysis, and animal study were used to examine the effects of drug treatments on ATC progression. Chromatin immunoprecipitation sequencing was conducted to establish a SE landscape of ATC. Integrative analysis of RNA sequencing, chromatin immunoprecipitation sequencing, and CRISPR/Cas9-mediated gene editing was used to identify THZ1 target genes. Drug combination analysis was performed to assess drug synergy. Patient samples were analyzed to evaluate candidate biomarkers of prognosis in ATC. Results: THZ1, a covalent inhibitor of cyclin-dependent kinase 7 (CDK7), was identified as a potent anti-ATC compound by high-throughput chemical screening. ATC cells, but not papillary thyroid carcinoma cells, are exceptionally sensitive to CDK7 inhibition. An integrative analysis of both gene expression profiles and SE features revealed that the SE-mediated oncogenic transcriptional amplification mediates the vulnerability of ATC cells to THZ1 treatment. Combining this integrative analysis with functional assays led to the discovery of a number of novel cancer genes of ATC, including PPP1R15A, SMG9, and KLF2. Inhibition of PPP1R15A with Guanabenz or Sephin1 greatly suppresses ATC growth. Significantly, the expression level of PPP1R15A is correlated with CDK7 expression in ATC tissue samples. Elevated expression of PPP1R15A and CDK7 are both associated with poor clinical prognosis in ATC patients. Importantly, CDK7 or PPP1R15A inhibition sensitizes ATC cells to conventional chemotherapy. Conclusions: Taken together, these findings demonstrate transcriptional addiction in ATC pathobiology and identify CDK7 and PPP1R15A as potential biomarkers and therapeutic targets for ATC.
Association between an individual dietary index based on the British Food Standard Agency Nutrient Profiling System and asthma symptoms

Abstract The role of diet in asthma is still debated. In France, a front-of-pack (FOP) nutrition label based on a modified Food Standards Agency Nutrient Profiling System/High Council for Public Health (FSAm-NPS/HCSP) has recently been implemented to help consumers to make healthier food choices during purchase. At the individual level, the FSAm-NPS dietary index (DI) has been shown to reflect the nutritional quality of the diet. The aim of the present study was to investigate the association between the FSAm-NPS DI and the asthma symptom score. In total, 34 323 participants (25 823 women and 8500 men) from the NutriNet-Santé cohort were included. The overall nutritional quality of the diet was assessed using the FSAm-NPS DI. Increasing FSAm-NPS DI reflects decreasing overall diet quality. Asthma was defined by the asthma symptom score (sum of five questions). Negative binomial regression was used to evaluate the association between the FSA-NPS DI and the asthma symptom score. Overall, mean participant’s age was 54 ± 14 years, and about 27 % reported at least one asthma symptom. We observed a significant positive association between less healthy diet, as expressed by higher FSAm-NPS DI, and the asthma symptom score. The adjusted OR were 1·27 (95 % CI 1·17, 1·38) among women and 1·31 (95 % CI 1·13, 1·53) among men. Unhealthy food choices, as reflected by a higher FSAm-NPS DI, were associated with greater asthma symptoms. These results reinforce the relevance of public health approach to orient consumers towards healthier food choices by using a clear and easy-to-understand FOP nutrition label based on the FSAm-NPS, such as the Nutri-Score.
Anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra

In this paper, we will give some information about the anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra, there are many examples with be provide in order to make the SA-ideal clear. We will define the image and the inverse image of anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra, and show how the image and the inverse image of anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra are studied. At the end, the Cartesian product of anti-fuzzy SA -ideals with degree (λ, κ) of SA -algebra are given.
Evaluation of Maternal Drug Exposure Following the Administration of Antenatal Corticosteroids During Late Pregnancy Using Physiologically‐Based Pharmacokinetic Modeling

Betamethasone and dexamethasone are the most widely studied antenatal corticosteroids (ACS) administered to pregnant women, just prior to the birth of a preterm neonate, to accelerate fetal lung maturation. Although betamethasone, predominantly used in developed countries, has been shown to be an effective and safe intervention for reducing neonatal mortality, the choice of ACS and optimal dosing in low and middle income countries (LMICs) remains unclear. This is primarily because the exposure–response relationships have not been established for ACS despite the long history of use. As the first step toward the optimal use of ACS in LMICs, we developed physiologically‐based pharmacokinetic (PBPK) models to describe the kinetics of ACS following i.v. , p.o. , or i.m. dosing. In vitro data describing the cytochrome P450 3A4 enzyme contribution were incorporated and this was refined using clinical data. The models can be applied prospectively to predict kinetics of ACS in pregnant women receiving various dosing regimens.
Current State of (Dis)Integration: Public Health and Fusion Centers

Abstract Objective Responding to large-scale public health emergencies relies heavily on planning and collaboration between law enforcement and public health officials. This study examines the current level of information sharing and integration between these domains by measuring the inclusion of public health in the law enforcement functions of fusion centers. Methods Survey of all fusion centers, with a 29.9% response rate. Results Only one of the 23 responding fusion centers had true public health inclusion, a decrease from research conducted in 2007. Information sharing is primarily limited to information flowing out of the fusion center, with little public health information coming in. Most of the collaboration is done on a personal, informal, ad-hoc basis. There remains a large misunderstanding of roles, capabilities, and regulations by all parties (fusion centers and public health). The majority of the parties appear to be willing to work together, but there but there is no forward momentum to make these desires a reality. Funding and staffing issues seem to be the limiting factor for integration. Conclusion These problems need to be urgently addressed to increase public health preparedness and enable a decisive and beneficial response to public health emergencies involving a homeland security response.
Arabic digit recognition using robust deep convolution neural network

Recently, digit recognition becomes one of interest problems for many researchers. However, Arabic digits have lack for such research. In this work, we used a robust deep convolution neural network (DCNN) to evaluate our collected Arabic digit dataset. We introduce substantial changes to CNN models to achieve superior results to prior work. Extensive experimental results are contacted to show the robustness of proposed models. Our detector achieves best current state-of-the-art results.
Associations of rs1883832 and rs4810485 polymorphisms of CD40 gene with myocardial infarction in the Tunisian population

Abstract Context: Cluster of differentiation 40 (CD40), and its ligand CD40L, are major co-stimulatory molecules whose interactions are important in both cellular and humoral immunity, and has been suggested to play a role in the pathogenesis of acute coronary syndrome. Objective: The aim of this study was to examine the association of CD40 polymorphisms (-1 C>T (rs1883832) and 945G>T (rs4810485)) and myocardial infarction (MI), and to test the association of CD40 gene haplotypes with MI in Tunisians. Materials and methods: Three hundred and fifty MI patients and 301 apparently healthy controls were included in the study. The polymorphisms of CD40 were analyzed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Results: There were significant differences in the genotype and allele frequencies of CD40 gene -1 C>T (rs1883832) polymorphism between cases and controls. Stratifying according to gender, the association between the TT genotype and MI was statistically significant in males, only. Haplotype analysis revealed that the C-T and T-G haplotypes were associated with an increased risk of MI (p = 0.012 and p < 0.001, respectively). Conclusions: Our work showed a significant association between the -1 C>T (rs1883832) polymorphism of the CD40 gene and MI in the Tunisians.
Loneliness and meaning in life are reflected in the intrinsic network architecture of the brain

Abstract Social relationships imbue life with meaning, whereas loneliness diminishes one's sense of meaning in life. Yet the extent of interdependence between these psychological constructs remains poorly understood. We took a multivariate network approach to examine resting-state fMRI functional connectivity’s association with loneliness and meaning in a large cohort of adults (N = 942). Loneliness and meaning in life were negatively correlated with one another. In their relationship with individually parcelled whole-brain measures of functional connectivity, a significant and reliable pattern was observed. Greater loneliness was associated with dense, and less modular, connections between default, frontoparietal, attention and perceptual networks. A greater sense of life meaning was associated with increased, and more modular, connectivity between default and limbic networks. Low loneliness was associated with more modular brain connectivity, and lower life meaning was associated with higher between-network connectivity. These findings advance our understanding of loneliness and life meaning as distinct, yet interdependent, features of sociality. The results highlight a potential role of the default network as a central hub, providing a putative neural mechanism for shifting between feelings of isolation and purpose.
Delivering cognitive analytic consultancy to community mental health teams: Initial practice-based evidence from a multi-site evaluation.

OBJECTIVES This study sought to employ the hourglass model to frame the methodological evolution of outcome studies concerning 5-session cognitive analytic consultancy (CAC). DESIGN Pre-post mixed methods evaluation (study one) and mixed methods case series (study two). METHODS In study one, three sites generated acceptability and pre-post effectiveness outcomes from N = 58 care dyads, supplemented with qualitative interviewing. The client outcome measures included the Clinical Outcomes in Routine Evaluation Outcome Measure, Personality Structure Questionnaire, Work and Social Adjustment Questionnaire, Service Engagement Scale, and the Working Alliance Inventory. Study two was a mixed methods case series (N = 5) using an A/B phase design with a 6-week follow-up. Client outcome measures were the Personality Structure Questionnaire, Clinical Outcomes in Routine Evaluation Outcome Measure, and the Working Alliance Inventory, and the staff outcome measures were the Working Alliance Inventory, Maslach Burnout Inventory, and the Perceived Competence Scale. RESULTS In study one, the cross-site dropout rate from CAC was 28.40% (the completion rate varied from 58 to 100%) and full CAC attendance rates ranged from 61 to 100%. Significant reductions in client distress were observed at two sites. Qualitative themes highlighted increased awareness and understanding across care dyads. In study two, there was zero dropout and full attendance. Clients were significantly less fragmented, and staff felt significantly more competent and less exhausted. Potential mechanisms of change were the effective process skills of the consultant and that emotionally difficult CAC processes were helpful. CONCLUSIONS Cognitive analytic consultancy appears a promising approach to staff consultation, and testing in a clinical trial is now indicated. PRACTITIONER POINTS CAC is a suitable method of consultation for care dyads struggling to work effectively together in CMHTs. Staff feel more competent and clients feel less fragmented following CAC, and the benefits of CAC appear to be maintained over follow-up time. CAC processes can be difficult for care coordinator and client, but this is not an impediment to change.
New Diagnoses among HIV+ Men and Women in Puerto Rico: Data from the HIV Surveillance System 2003-2014.

OBJECTIVE Describe the age-standardized rates of new HIV diagnoses and compare sex and time disparities using data from the HIV/AIDS Surveillance System in Puerto Rico (PR). METHODS The study comprises data of new HIV diagnoses of persons 13 years of age and older in PR reported from 2003-2014. Other variables included were age, sex, and health regions. We computed male to female ratio of new HIV diagnoses and assessed the trends in new HIV diagnoses using the annual percent change (APC) of the age-standardized rates (ASRs). The relative risk (RR) was estimated with 95% confidence intervals using Poisson regression models to assess the risk of new HIV diagnoses. RESULTS The highest HIV diagnosis rates were observed in the metropolitan area. These rates decreased overall for both sexes for the periods 2007 onward. The risk of getting a new HIV diagnosis was significantly higher among males, ranging from an increased risk of more than 50% to almost 5-fold (p<0.05). Overall, a trend was observed in the 2011-2014 period were the risk increases as the age decreases. For the 13-24 age group, we observed a significant increased risk in new HIV diagnosis of 53% in the 2011-2014 period, when compared to 2003-2006 (p<0.05). CONCLUSION Our findings suggest a shift in the risk of getting a HIV diagnosis from older to younger males. A possible explanation could be that HIV spread among young men that have sex with men might be increasing. Targeted prevention strategies should be implemented in this age group.
Variations in Emotional, Sexual, and Physical Intimate Partner Violence Among Women in Uganda: A Multilevel Analysis

Evidence shows that a significant proportion of ever-partnered women suffer some form of intimate partner violence (IPV) perpetuated by male partners. The prevalence of IPV in sub-Saharan African countries is considerably higher than global estimates. Although existing studies show the effect of women’s and intimate male partner’s characteristics on IPV, knowledge on how these factors increase or reduce women’s risk to specific types of IPV is limited. Using the 2016 Ugandan Demographic and Health Survey (UDHS), we examine regional variations in women’s and intimate male partner’s characteristics and their effect on emotional, sexual, and physical violence perpetuated by men and experienced by women in Uganda. The result shows that women’s educational status is a significant predictor of all forms of IPV, whereas other characteristics, such as employment and housing ownership, have differential effects on specific types of IPV. Less educated women were more likely to experience emotional, sexual, and physical violence. Alcohol abuse was a significant determinant of men perpetuating all types of IPV; other male characteristics had differential effects on specific types of IPV. Male partners who abuse alcohol “often” and “sometimes” were more likely to commit acts of emotional, sexual, and physical violence against their female intimate partners. The findings also show that ~5%, ~8%, and ~2% of the variance in emotional, sexual, and physical violence (respectively; in the final models) are attributable to regional differences. The findings suggest the need for interventions aimed at increasing women’s access to higher education, working with men and boys to reduce the occurrence of alcohol abuse and address harmful constructions of masculinity, and promoting gender equality among men as well as women.
Monte Carlo Simulations for Shielding Analysis of the TR-24 Cyclotron at INRNE-BAS

The Institute for Nuclear Research and Nuclear Energy at the Bulgarian Academy of Sciences is building an accelerator laboratory to operate a TR-24 cyclotron. Thus, a preliminary radiation shielding analysis of the accelerator bunker is required. For this purpose Monte-Carlo simulations have been performed and dosimetric (Dose equivalent) quantities have been estimated in two model geometries - simplified spherical geometry and full-scale bunker, respectively during operation and after the end of the cyclotron life. Our current efforts are directed to the production of 18F thus in all the conducted simulations a water target enriched with 18O is considered. NiGa3 as a target for production of 68Ge has also been simulated and a comparison of the radiation shielding characteristics of the bunker for the two targets has been made.
A new Rule to Constrain Convolution Neural Network Architecture in Face Recognition System

Face recognition (FR) system is an essential part of a biometric security system, which runs faster than other security methods and done remotely. One of the most important techniques that used in FR is the convolutional neural network (CNN). Traditionally, the choice of the CNN architecture is achieved by experimental trails. In this paper, a new approach is proposed to build a mathematical model that helps to select a proper architecture. This model is built from the experimental results by applying different architectures on the well-known dataset (Vggface2). By changing the class number, image number and convolutional layer number, where the accuracy of each case is recorded. Finally, the proposed model is evaluated on the sets of datasets (Essex. FEI, Caltech), where the accuracies of (99.13, 98.51, 97.78) respectively, are achieved. The evaluation results proved that the proposed model is an efficient for many types of small and middle scale dataset.
An Investigating on UGC Adoption in Web 2.0 Environment: Antecedents and Consequences

Purpose: The purpose of this paper is to investigate the adoption model of user-generated content in Web 2.0 Internet environment. The author hopes to verify the quality of user-user interaction, and test the influence of such interaction on users’ perceived usefulness and adoption willingness. Design/Methodology/Approach: The influence of user generated content on e-commerce websites has been addressed in both practical and theoretical fields. This study focuses on the connotation of prosumption behavior and the quality of user-user interaction through qualitative research. It clarifies the mechanism of user interaction and counterproductive behavior in the Web 2.0 Internet platform for those from the double process theory perspective of Elaboration Likelihood Model (ELM). This study has investigated quantitatively. The authors used structural equations modeling on 58 users (21 offline and 37 online users of book.douban). Findings: Firstly, the results emphasized the effect of user-user interaction quality on user information usefulness and information willingness. In addition, the research results also proved that users’ perceived usefulness of UGC information and the willingness of UGC adoption have played a positive role in users’ subsequent prosumption behavior. Finally, we applied our theoretical findings to derive managerial implications. Originality/Value: This paper not only revealed quantitatively the nature of prosumption behavior and quality of user-user interaction, but also figured out the antecedents and consequences of information adoption.
Understanding draws in Elo rating algorithm

Abstract This work is concerned with the interpretation of the results produced by the well known Elo algorithm applied in various sport ratings. The interpretation consists in defining the probabilities of the game outcomes conditioned on the ratings of the players and should be based on the probabilistic rating-outcome model. Such a model is known in the binary games (win/loss), allowing us to interpret the rating results in terms of the win/loss probability. On the other hand, the model for the ternary outcomes (win/loss/draw) has not been yet shown even if the Elo algorithm has been used in ternary games from the very moment it was devised. Using the draw model proposed by Davidson in 1970, we derive a new Elo-Davidson algorithm, and show that the Elo algorithm is its particular instance. The parameters of the Elo-Davidson are then related to the frequency of draws which indicates that the Elo algorithm silently assumes games with 50% of draws. To remove this assumption, often unrealistic, the Elo-Davidson algorithm should be used as it improves the fit to the data. The behaviour of the algorithms is illustrated using the results from English Premier League.