Miracle-dz/UniFAR-FTUs huggingface dataset:
Seroprevalence of HPV 6, 11, 16 and 18 and correlates of exposure in unvaccinated women aged 16-64 years in Puerto Rico.

A Background: To understand risk factors for HPV exposure in Puerto Rican women, we evaluated HPV 6, 11, 16, and 18 serology in women aged living in the San Juan metropolitan area. Methods: As part of a cross-sectional study, a population-based sample of 524 HPV unvaccinated Hispanic women ages 16 – 64 years completed face-to-face and computer assisted interviews and provided blood and self-collected anal and cervical specimens. Serology used multiplex virus-like particle based-IgG ELISA and HPV DNA was detected with L1-consensus PCR. Results: 32% and 47% were seropositive to HPV types included in the bivalent (16/18) and quadrivalent (6/11/ 16/18) vaccines, respectively. Type-speci ﬁ c seroprevalence was HPV6 − 29%, HPV11 − 18%, HPV16 − 23%, and HPV18 − 17%; seroprevalence was high in the youngest age-group (16 – 19: 26 – 37%). HPV seropositivity was associated with having ≥ 3 lifetime sexual partners (OR=2.5, 95% CI=1.7 – 3.9) and detection of anogenital HPV DNA (OR=1.8, 95% CI=1.2 – 2.6). Conclusions: The high cumulative exposure of HPV vaccine types 6/11/16/18 in this Hispanic population was in ﬂ uenced by factors related to HPV exposure through sexual behavior. High seroprevalence in the youngest age- group indicates early age of exposure to HPV in Puerto Rico, highlighting the need for HPV vaccination starting prior to age 16.
Recognising Image Shapes from Image Parts, not Neural Parts

This paper describes an image processing method that makes use of image parts instead of neural parts. Neural networks excel at image or pattern recognition and they do this by constructing complex networks of weighted values that can cover the complexity of the pattern data. These features however are integrated holistically into the network, which means that they can be difficult to use in an individual sense. A different method might scan individual images and use a more local method to try to recognise the features in it. This paper suggests such a method, where a trick during the scan process can not only recognise separate image parts, as features, but it can also produce an overlap between the parts. It is therefore able to produce image parts with real meaning and also place them into a positional context. Tests show that it can be very accurate, scoring 100% on some handwritten digit test datasets. It also fits well with an earlier cognitive model, and an ensemble-hierarchy structure in particular.
TGF-#1 modulates microglial phenotype and promotes recovery after intracerebral hemorrhage

1 modulates microglia-mediated neuroinflammation after ICH and promotes functional recovery, suggesting that TGF- β 1 may be a therapeutic target for acute brain injury. ICH CCL2 and IL-17 elevated in the perihematomal region at 3 days and then decreased. There no changes in IFN- γ or IL-10. IL-4 was undetectable in the perihematomal region at all time points measured, while IL-13 increased from baseline to day 3. In contrast, TGF- β 1 and brain-derived neurotrophic factor (BDNF), factors associated with resolution of inflammation and neurogenesis, increased from day 1 to day 10 and remained elevated at 14 days. Our data indicate that the proinflammatory perihematomal brain environment is characterized by IL-6, CCL2, and IL-17 during the first 3 days. This milieu changes dramatically toward recovery within the first 2 weeks after ICH. the recovery phase, the CX3CR1-null BM chimeras right forelimb preference, showing a left hemiparesis, impaired disease, CX3CR1-null mice have worse functional outcomes and elevated levels of IL-1 β after LPS-mediated neuroinflammation (30, 31). We utilized the CX3CR1 regulation of microglial phenotype as a model system for studying the microglial responses in recovery after ICH.
Eggs Schistosoma mansoni Formation and IgE Responses Induced by Cell-Mediated Pulmonary Granuloma IL-13 Is a Key Regulatory Cytokine for Th2

Schistosoma mansoni egg-induced pulmonary granuloma formation is a cell-mediated inﬂammatory response associated with dominant Th2-type cytokine expression, tissue eosinophilia, and high levels of serum IgE. In the present study, we show that in vivo blockade of the Th2 cytokine IL-13, using soluble IL-13R a 2-Fc fusion protein, signiﬁcantly reduced the size of pulmonary granulomas in unsensitized as well as egg-sensitized mice. Blocking IL-13 also signiﬁcantly reduced total serum IgE levels. Interestingly, however, IL-13 blockade did not affect the evolving egg-induced Th2-type cytokine response. IL-4, IL-5, as well as IL-13 responses were indistinguishable in control-Fc- and soluble IL-13R a 2-Fc fusion protein-treated animals. The smaller granulomas were also phenotypically like the control Fc-treated mice, displaying a similar eosinophil content. Additional studies in IL-4-deﬁcient mice demonstrated that IL-13 was produced, but at much lower levels than in wild-type mice, while IL-4 expression was completely independent of IL-13. Moreover, while granuloma formation was partially reduced in IL-4-deﬁcient mice, blocking IL-13 in these animals almost completely abrogated granuloma development and the pulmonary eosinophilia, while it simultaneously increased IFN- g production. Together, these data demonstrate that IL-13 serves as an important mediator of Th2-mediated inﬂammation and plays a role in eliciting IgE responses triggered by schistosome eggs. The Journal of Immunology, 1999, 162: 920–930. com-bination of m g/ml of
Designing a digital service to improve the user experience of conference organizers

Event management has become a huge global industry and has evolved in many different areas, from business to social events. The demand for digital solutions in relation to event management and participation has increased and there is a great variety of existing solutions targeted for event planners and attendees. As events are unique in nature, “the attendee is looking for a ´lifestyle experience’ (Allen et al. 2011) and something that he will remember as ‘interesting’, ‘memorable’ and ‘exciting’” (Bladen et al. 2012). Therefore, there is a need to understand what are the attributes that influence the event experience and how a digital solution can support the entire journey. This master thesis investigates the factors that contribute to improve and reshape the user experience of event management and participation and how they can be integrated in a digital solution. For this purpose, extensive research, user modelling and an agile methodology to ideate and test the prototype has been undertaken. From the results of the research and user modelling phases, a concept for a new digital service, built around a virtual assistant, has been developed and tested. The factors that answer the main research question of this thesis, has been defined throughout the project and integrated in the designed solution.
The A(y) problem for p-3He elastic scattering.

We present evidence that numerically accurate quantum calculations employing modern internucleon forces do not reproduce the proton analyzing power, A(y), for p- 3He elastic scattering at low energies. These calculations underpredict new measured analyzing powers by approximately 30% at E(c.m.) = 1.20 MeV and by 40% at E(c.m.) = 1.69 MeV, an effect analogous to a well-known problem in p-d and n-d scattering. The calculations are performed using the complex Kohn variational principle and the (correlated) hyperspherical harmonics technique with full treatment of the Coulomb force. The inclusion of the three-nucleon interaction does not improve the agreement with the experimental data.
THERAPY FOR MULTIPLE MYELOMA - HISTORICAL PERSPECTIVE: REVIEW OF LITERATURE

The current therapeutic strategy for multiple myeloma has witnessed a dramatic improvement when compared with the rhubarb pill and infusion of orange peel that were used in 1844. It is still an incurable disease but the introduction of novel therapies have altered the natural course of the disease, transforming it into a chronic disease from a terminal illness. Recently an increased understanding of the interaction between the malignant plasma cells and the bone marrow microenvironment, cell-receptor ligand interactions and intracellular signalling pathways, have provided multiple opportunities to disrupt the development and progress of multiple myeloma. Following the success of thalidomide, lenalidomide, and bortezomib in multiple myeloma, a number of novel agents are currently investigation. These targeted therapies may enable personalization of therapy for individuals with myeloma in future.
NAVIGATION (cid:3) PATTERN (cid:3) MINING (cid:3) ALGORITHM (cid:3) FOR (cid:3) CONTENT (cid:3) BASED (cid:3) IMAGE (cid:3) RETRIEVAL (cid:3)

— Frequent pattern mining algorithm is an interesting problem and most essential field in data mining, a Navigation pattern defines the user’s behavior towards a particular area, in this paper we propose an algorithm for mining user navigation Patterns using frequent item sets, by using transaction Reduction method. By using Association rule mining we extract the interesting Correlation and relation between the large volumes of Transactions in the databases. In this paper we merge the navigation pattern mining algorithm with the Content based image retrieval application. Thus by merging it we obtain an effective knowledge discovery process by which it overcomes the draw backs of the existing system This work thus used to extract the navigation patterns discovered from the data bases used in the Content Based image retrieval. And also this work is used as the offline Knowledge discovery process in CBIR.
The phosphatase subunit Tap42 functions independently of TOR to regulate cell division and survival in Drosophila.

The protein phosphatase 2A (PP2A) regulatory subunit Tap42 is essential for Target of Rapamycin (TOR)-mediated signaling in yeast, but its role in higher eukaryotes has not been established. Here we show that Tap42 does not contribute significantly to TOR signaling in Drosophila, as disruption of the Tap42 gene does not cause defects in cell growth, metabolism or S6-kinase activity characteristic of TOR inactivation. In addition, Tap42 is not required for increased cell growth in response to activation of TOR signaling. Instead, we find that Tap42 mutations cause disorganization of spindle microtubules in larval neuroblasts, leading to a pre-anaphase mitotic arrest in these cells. Loss of Tap42 ultimately results in increased JNK signaling, caspase activation and cell death. These phenotypes are associated with increased accumulation and nuclear localization of PP2A in Tap42 mutant cells. Our results demonstrate that the role of Tap42 in TOR signaling has not been conserved in higher eukaryotes, indicating fundamental differences in the mechanisms of TOR signaling between yeast and higher eukaryotes.
Moving the field of health behaviour research forward with genuine application and cross-culture assessment of established theoretical models and techniques

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Recent Observations With b -Adrenoceptor Blockade Beneﬁcial Effects in Hypertension and Heart Failure

Carvedilol is a third-generation vasodilating b blocker initially approved for the treatment of hypertension. It lowers systemic arterial blood pressure without causing reﬂex tachycardia and preserves renal function. More recently, carvedilol has been shown to reduce morbidity and mortality in patients with congestive heart failure. This reduction may occur in part via b -blockade and a 1 -adrenoceptor blockade, the latter resulting in vasodilation. Importantly, carvedilol and several of its metabolites are potent antioxidants that may inhibit the oxidation of norepinephrine and the subsequent formation of toxic intermediates, such as reactive free radicals in the myocardium. As a result, carvedilol inhibits the expression of certain genes involved in myocardial damage, such as intracellular adhesion molecule-1, free-radical-induced activation of transcription factors, and programmed cell death or apoptosis. In this respect, carvedilol represents a new therapy for the treatment of hypertension and congestive heart failure and combines, in one molecule, a number of potentially beneﬁcial properties. Am J Hypertens 1998;11:9S–14S © Ltd.
Improving Recall and Precision in Unsupervised Multi-Label Improving Recall and Precision in Unsupervised Multi-Label Document Classification Tasks by Combining Word Embeddings Document Classification Tasks by Combining Word Embeddings with TF-IDF with TF-IDF

Multi-label document classification is a common task and has become increasingly important for current business needs. However, generating keywords is not easily done as, next to methodological challenges, labeled training data for supervised classification does not always exist in the desired amount or quality. Therefore, methods that do not require labeled training data (e.g., unsupervised learning or statistical approaches) are valuable for practice. As none of these approaches alone provides optimal results in terms of recall and precision, we show that it is worth examining existing approaches for complementary strengths in order to combine them. We found such complementary strengths for an unsupervised word embedding method and the term frequency–inverse document frequency method (tf-idf) and propose a combined approach. For evaluation, we test the combined approach on a data set from a public broadcaster in Germany and show that recall and precision can be significantly improved.
inferences about the stability and changeability of personality traits 1 : rank-order consistency,

Personality traits are powerful predictors of outcomes in the domains of education, work, relationships, health, and well-being. The recognized importance of personality traits has raised questions about their policy relevance. Traditionally, the use of personality traits in applied settings has been predicated on their ability to predict valued outcomes, typically under the assumption that traits are functionally unchanging. This assumption, however, is both untrue and a limiting factor on using personality traits more widely in applied settings. In this paper, we present the case that traits can serve both as relatively stable predictors of success and actionable targets for policy changes and interventions. Though trait change will likely prove a more difficult target than typical targets in applied interventions, it also may be a more fruitful one given the variety of life domains affected by personality traits.
Investigations of influence of rotor geometry on cogging torque in combined radial and axial flux permanent magnet synchronous motor

In this paper, the investigations of cogging torque in combined radial and axial flux permanent magnet synchronous motor (RAFPMSM) has been carried out using 3D FEM modelling. The influence of design parameters and optimizing techniques have been explored to minimize the cogging torque. In the base model of the machine the level of cogging torque, vibration and the noise are elevated due to the additive effect of both radial section and axial section. Both sections have been investigated separately by modelling in FEM. Slot opening, pole arc to pole pitch ratio and the rotor pole configuration are the major design parameters which directly influences the percentage of the cogging torque component in the torque profile of the machine. These design parameters have been targeted and the optimization attempt is made to achieve the goal of minimum Torque Ripple Factor (TRF). The results shown remarkable improvement in the performance from cogging torque view point. The main emphasis has been made on shape of magnets and skewing techniques in both the sections radial and axial. The techniques reflected noticeable improvement in TRF and discernible reduction in vibration. The performance features of high torque density at moderate speed of the machine has been examined and optimized model has been achieved.
Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction

The new generation of satellite-borne laser radar Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data has been successfully used for ground information acquisition. However, when dealing with complex terrain and dense vegetation cover, the accuracy of the extracted understory Digital Terrain Model (DTM) is limited. Therefore, this paper proposes a photon correction data processing method based on ICESat-2 to improve the DTM inversion accuracy in complex terrain and high forest coverage areas. The correction value is first extracted based on the ALOS PALSAR DEM reference data to correct the cross-track photon data of ICESat-2. The slope filter threshold is then selected from the reference data, and the extracted possible ground photons are slope filtered to obtain accurate ground photons. Finally, the impacts of cross-track photon and slope filtering on fine ground extraction from the ICESat-2 data are discussed. The results show that the proposed photon correction and slope filtering algorithms help to improve the extraction accuracy of forest DTM in complex terrain areas. Compared with the forest DTM extracted without the photon correction and slope filtering methods, the MAE (Mean Absolute Error) and RMSE (Root Mean Square Error) are reduced by 51.90~57.82% and 49.37~53.55%, respectively. To the best of our knowledge, this is the first study demonstrating that photon correction can improve the terrain inversion ability of ICESat-2, while providing a novel method for ground extraction based on ICESat-2 data. It provides a theoretical basis for the accurate inversion of canopy parameters for ICESat-2.
A L ARGE - SCALE S TUDY ON T RAINING S AMPLE M EMORIZATION IN G ENERATIVE M ODELING

Many recent developments on generative models for natural images have relied on heuristically-motivated metrics that can be easily gamed by memorizing a small sample from the true distribution or training a model directly to improve the metric. In this work, we critically evaluate the gameability of such metrics by running a competition that ultimately resulted in participants attempting to cheat. Our competition received over 11000 submitted models and allowed us to investigate both intentional and unintentional memorization. To stop intentional memorization, we propose the “Memorization-Informed Fréchet Inception Distance” (MiFID) as a new memorization-aware metric and design benchmark procedures to ensure that winning submissions made genuine improvements in perceptual quality. Furthermore, we manually inspect the code for the 1000 top-performing models to understand and label different forms of memorization. The inspection reveals that unintentional memorization is a serious and common issue in popular generative models. The generated images and our memorization labels of those models as well as code to compute MiFID are released to facilitate future studies on benchmarking generative models.
The Prevalence of Metabolic Syndrome and Its Components among Type 2 Diabetes Mellitus Patients the Northwest

BACKGROUND: Metabolic syndrome is a cluster of risk factors that is responsible for the risk of coronary heart disease and stroke. Therefore, the aim of this study was to assess the prevalence of MetS and its components among T2DM patients. METHODS: A cross-sectional study was conducted at the Diabetes Clinic of the Hospital, from June to July, 2015. Data were entered into EPI INFO software and exported to SPSS 20 for analysis. MetS prevalence was estimated using NCEP ATPIII and IDF criteria. Anthropometric measurements, investigations of serum glucose and lipid profiles were done. Logistic regression analysis was used to evaluate associated factors. A P-value ≤ 0.05 was considered statistically significant. RESULT: A total of 159 participants were included in the study; 119 (59.7%) were females with mean (±SD) age of (49.8±8.7) year. The prevalence of MetS was 66.7% in NCEP-ATP III and 53.5% in IDF definitions. The most prevalent component of MetS was elevated triglyceride (56.6% in ATPIII and 62.3% in IDF criteria), followed by abdominal obesity (61%) IDF and elevated blood pressure (55.4%) NCEP-ATPIII criteria. The regression analysis showed that increased age, being female, high BMI, having diabetes for over 5 years and poor glycemic control were significantly associated with metabolic syndrome. CONCLUSION: The prevalence of MetS and its components among T2DM patients were high, suggesting that diabetic patients are at increased risk of CVD and other complications. Efforts should be geared towards addressing these abnormalities through lifestyle modification, health awareness and medications in order to reduce this complication.
Electromagnetic Retarded Interaction and Symmetry Violation of Time Reversal in Light’s High Order Stimulated Radiation and Absorption Processes

It is proved that when the retarded effect (or multiple moment effect) of radiation fields is taken into account, the light’s high order stimulated radiation and stimulated absorption probabilities are not the same so that time reversal symmetry would be violated, though the total Hamiltonian of electromagnetic interaction is still unchanged under time reversal. The reason to cause time reversal symmetry violation is that certain filial or partial transitive processes of bounding state atoms are forbidden or can’t be achieved actually due to the law of energy conservation, the asymmetric actions of effective transition operators before and after time reversal, as well as the special states of atoms themselves. These restrictions would cause the symmetry violation of time reversal of other filial or partial transition processes which can be actualized really. The symmetry violation is also relative to the initial state’s asymmetries of bounding atoms before and after time reversal. For the electromagnetic interaction between non-bounding state’s atoms and radiation field, there is no this kind of symmetry violation of time reversal. In this way, the current formula of light’s stimulated radiation and absorption parameters with time reversal symmetry should be revised. The influence of time reversal symmetry violation on the foundational theory of laser is also discussed and the phenomena of non-population inversion and non-radiation transition can also be explained well. In this way, a more reliable foundation can be established for the theories of laser and nonlinear optics in which non-equilibrium processes are involved.