Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of microRNAs associated with ileal and colonic Crohn's disease†

Background: Crohn's disease (CD) and ulcerative colitis (UC) are associated with expression differences in genes involved in immune function, wound healing, and tissue remodeling. MicroRNAs (miRNAs) are small, noncoding RNAs that act as potent negative regulators of gene expression and are differentially expressed in chronic inflammatory diseases, including UC. We examined the expression of miRNAs in tissues from different intestinal regions and in patients with active ileal and colonic CD. Methods: Colonoscopic pinch biopsies were obtained from the terminal ileum, cecum, transverse colon, sigmoid colon, and rectum of normal, healthy adults and from the ileum and sigmoid colon of patients with active ileal and colonic CD. miRNA expression was assessed using miRNA microarray and validated by mature miRNA quantitative reverse‐transcription polymerase chain reaction (RT‐PCR). Results: Ten intestine region‐specific miRNAs were identified. Three miRNAs were increased and one miRNA was decreased in the terminal ileum as compared to the colon. Six other miRNAs expressed varying levels of expression among the colon regions. Five miRNAs were found to be differentially expressed in tissues of patients with active colonic CD, with three increased and two decreased as compared to normal, healthy controls. Similarly, four miRNAs were found to be significantly increased in tissues of patients with active ileal CD. Conclusions: The expression differences between ileal CD, colonic CD, and previously identified UC‐associated miRNAs support the likelihood that miRNAs influence differing inflammation‐related gene expression in each inflammatory bowel disease (IBD) subtype and may form the basis for future diagnostic tests and therapeutic targets for IBD. Inflamm Bowel Dis 2010
Identifying risky areas of software code in Agile/Lean software development: An industrial experience report

Modern software development relies on incremental delivery to facilitate quick response to customers' requests. In this dynamic environment the continuous modifications of software code can cause risks for software developers; when developing a new feature increment, the added or modified code may contain fault-prone or difficult-to-maintain elements. The outcome of these risks can be defective software or decreased development velocity. This study presents a method to identify the risky areas and assess the risk when developing software code in Lean/Agile environment. We have conducted an action research project in two large companies, Ericsson AB and Volvo Group Truck Technology. During the study we have measured a set of code properties and investigated their influence on risk. The results show that the superposition of two metrics, complexity and revisions of a source code file, can effectively enable identification and assessment of the risk. We also illustrate how this kind of assessment can be successfully used by software developers to manage risks on a weekly basis as well as release-wise. A measurement system for systematic risk assessment has been introduced to two companies.
A measure of cosmological acceleration

We propose quantifying the quantum gravitational back-reaction on inflation with an invariant measure of the local acceleration rather than the expansion rate. Our observable is suitable for models in which there is no scalar inflaton to provide a preferred velocity field with which to define the expansion. As an example, we use stochastic techniques to evaluate the local acceleration at one-loop order for Λ-driven inflation in pure quantum gravity.
Topological Insulators

In recent years, the notion of “Quantum Materials” has emerged as a powerful unifying concept across diverse fields of science and engineering, from condensed-matter and coldatom physics to materials science and quantum computing. Beyond traditional quantum materials such as unconventional superconductors, heavy fermions, and multiferroics, the field has significantly expanded to encompass topological quantum matter, two-dimensional materials and their van der Waals heterostructures, Moiré materials, Floquet time crystals, as well as materials and devices for quantum computation with Majorana fermions. In this Roadmap collection we aim to capture a snapshot of the most recent developments in the field, and to identify outstanding challenges and emerging opportunities. The format of the Roadmap, whereby experts in each discipline share their viewpoint and articulate their vision for quantum materials, reflects the dynamic and multifaceted nature of this research area, and is meant to encourage exchanges and discussions across traditional disciplinary boundaries. It is our hope that this collective vision will contribute to sparking new fascinating questions and activities at the intersection of materials science, condensed matter physics, device engineering, and quantum information, and to shaping a clearer landscape of quantum materials science as a new frontier of interdisciplinary scientific inquiry. The 2020 Quantum Materials Roadmap – Table of
Hypoxia and Angiogenesis in Endometrioid Endometrial Carcinogenesis

Background: Hypoxia-inducible factor 1α (HIF-1α) plays an essential role in the adaptive response of cells to hypoxia, triggering biologic events associated with aggressive tumor behavior. Methods: Expression of HIF-1α and proteins in the HIF-1α pathway (Glut-1, CAIX, VEGF) in paraffin-embedded specimens of normal (n = 17), premalignant (n = 17) and endometrioid endometrial carcinoma (n = 39) was explored by immunohistochemistry, in relation to microvessel density (MVD). Results: HIF-1α overexpression was absent in inactive endometrium but present in hyperplasia (61%) and carcinoma (87%), with increasing expression in a perinecrotic fashion pointing to underlying hypoxia. No membranous expression of Glut-1 and CAIX was noticed in inactive endometrium, in contrast with expression in hyperplasia (Glut-1 0%, CAIX 61%, only focal and diffuse) and carcinoma (Glut-1 94.6%, CAIX 92%, both mostly perinecrotically). Diffuse HIF-1α was accompanied by activation of downstream targets. VEGF was significantly higher expressed in hyperplasias and carcinomas compared to inactive endometrium. MVD was higher in hyperplasias and carcinomas than in normal endometrium (p < 0.001). Conclusion: HIF-1α and its downstream genes are increasingly expressed from normal through premalignant to endometrioid adenocarcinoma of the endometrium, paralleled by activation of its downstream genes and increased angiogenesis. This underlines the potential importance of hypoxia and its key regulator HIF-1α in endometrial carcinogenesis.
How Can We Help? What We Have Learned From Recent Federal Dropout Prevention Evaluations

This article summarizes implementation and impact findings from a recent large evaluation of federally funded dropout-prevention programs. The findings suggest that two program models, alternative middle schools for younger students and GED programs for older students, have promise. The article also suggests that striving to understand the nature of academic, social, and personal problems affecting students and tailoring services to address these problems may be a useful systemic approach to reducing dropping out.
Mechanism of augmentation of the antibody response in vitro by 2- mercaptoethanol in murine lymphocytes. I. 2-Mercaptoethanol-induced stimulation of the uptake of cystine, an essential amino acid

The mechanism of augmentation of the primary antibody response in vitro by 2-mercaptoethanol (2-ME) was investigated. By using cystine-free RPMI 1640 medium, it was demonstrated that cyst(e)ine was absolutely required for eliciting the following murine lymphocyte reactions: antibody response to sheep erythrocytes, proliferative response to concanavalin A or lipopolysaccharide (LPS), and polyclonal antibody response induced by LPS. The maximal antibody response was attained with 2.5-5 mM cysteine or half-cystine. The serial feeding of fresh cysteine markedly amplified its capacity to support antibody response particularly when cysteine concentration was suboptimal. Such an effect was not observed in the serial addition of cystine. On the other hand, the dose-response curve of cystine was dramatically shifted to lower concentrations by the addition of 2-ME (1 x 10(-5) M), which alone could not elicit the antibody response in the absence of cystine, nor could it augment furthermore the maximal response induced by 2.5 mM half-cystine. Commercially available RPMI 1640 medium contains 0.41 mM half-cystine, which proved to be a suboptimal concentration for eliciting the maximal response. 35S-cystine was incorporated into murine lymphocytes five to six times more slowly than 35S-cysteine. The rate of cystine uptake, however, was accelerated by 2.5-fold in the presence of 1 x 10(-5) M 2-ME. A close correlation was observed between dose-response profiles of 2-ME in augmenting the antibody response and the stimulation of cystine uptake. These results strongly suggest that one of the roles of 2-ME in augmenting the antibody response in vitro is to facilitate the use of cystine contained in RPMI 1640 medium only at a suboptimal concentration.
Application Research on Marketing Data Analysis Using Data Mining Technology

This paper takes modern marketing and data mining as basic theory basis, applying association mining algorithm to marketing data analysis with specific characteristics in industry and establishes data mining-based marketing analysis method model. This method model comprehensively discovers neural network and data mining technology to perform law discovery in historical data warehouse. The basic association rules analysis is expanded to multi-dimension and FP-Growth algorithm is improved on the basis of association rule mining principle. Furthermore, it is applied to analyze hierarchical relationship of price change between various factors inside the given market environment. Finally, power market marketing case is taken as test object and the scheme effectiveness of this paper is verified.
Animal models of chronic lung infection with Pseudomonas aeruginosa: useful tools for cystic fibrosis studies

Summary Cystic fibrosis (CF) is caused by a defect in the transmembrane conductance regulator (CFTR) protein that functions as a chloride channel. Dysfunction of the CFTR protein results in salty sweat, pancreatic insufficiency, intestinal obstruction, male infertility and severe pulmonary disease. In most patients with CF life expectancy is limited due to a progressive loss of functional lung tissue. Early in life a persistent neutrophylic inflammation can be demonstrated in the airways. The cause of this inflammation, the role of CFTR and the cause of lung morbidity by different CF-specific bacteria, mostly Pseudomonas aeruginosa, are not well understood. The lack of an appropriate animal model with multi-organ pathology having the characteristics of the human form of CF has hampered our understanding of the pathobiology and chronic lung infections of the disease for many years. This review summarizes the main characteristics of CF and focuses on several available animal models that have been frequently used in CF research. A better understanding of the chronic lung infection caused particularly by P. aeruginosa, the pathophysiology of lung inflammation and the pathogenesis of lung disease necessitates animal models to understand CF, and to develop and improve treatment.
Numerical Study of Turbulent Pulsatile Blood Flow through Stenosed Artery Using Fluid-Solid Interaction

The turbulent pulsatile blood flow through stenosed arteries considering the elastic property of the wall is investigated numerically. During the numerical model validation both standard k-ε model and RNG K-ε model are used. Compared with the RNG K-ε model, the standard K-ε model shows better agreement with previous experimental results and is better able to show the reverse flow region. Also, compared with experimental data, the results show that, up to 70% stenosis, the flow is laminar and for 80% stenosis the flow becomes turbulent. Assuming laminar or turbulent flow and also rigid or elastic walls, the results are compared with each other. The investigation of time-averaged shear stress and the oscillatory shear index for 80% stenosis show that assuming laminar flow will cause more error than assuming a rigid wall. The results also show that, in turbulent flow compared with laminar flow, the importance of assuming a flexible artery wall is more than assuming a rigid artery wall.
Feasible evaluation of high-frequency link AC-AC contact-less power supply system in parking tower

In tandem with the penetration of PHV as well as EV, contact-less power supply system in parking towers have become important subjects. In parking towers, EV and PHV are charged on the traveling pallets, supply power is to be transmitted from the building to travelling pallets. In this paper, high-frequency link AC-AC converter for contact-less power supply system in parking tower is newly proposed and its basic operation and performance have been demonstrated from computer aided simulation and experiment.
Building a Vietnamese Lexicon Ontology for Syntactic Parsing and Document Annotation

Vietnamese is an isolating language in which words do not have morphology. It means that if a word changes its syntactic function, it still has the same morphemes. Therefore, an syntactic parser based on only the POS tag of the word still has errors of identifying the phrases of a sentence. In order to overcome this problem, an ontology of Vienamese lexicons should be build to provide the exact syntactic and semantic information of every word for parsing. In addition, this ontology is also built to solve the problems of synonyms of Vietnamese document annotation.
Prevalence and risk factors for hepatitis C virus infection in continuous ambulatory peritoneal dialysis patients.

BACKGROUND Studies on hepatitis C virus antibodies (Anti-HCV) in CAPD patients are scarce and include a small number of patients. Nevertheless, risk factors related to Anti-HCV in these patients are still subject to controversy. Purpose of the study. To analyse the incidence and risk factors associated with the presence of Anti-HCV in CAPD patients. METHODS We studied 255 patients from five different treatment centres of our region. The analysis was repeated after excluding 161 patients who had previously received haemodialysis treatment at least once. Anti-HCV testing was made by the 2nd-generation ELISA: As a supplementary test we used RIBA-4 in three centers and INNOLIA in the other two. Risk factors were analysed using logistic regression model for multivariate analysis. RESULTS In the whole group, 29 patients (11.4%) were anti-HCV positive. Logistic regression analysis determined the following variables as independent risk factors: hepatitis previous to CAPD (P<0.001, odds ratio (OR):44.9), Anti HBc positivity (P=0.019, OR:9. 24), blood transfusions previous to CAPD (P=0.015, OR:1.05) and CAPD duration were excluded, the prevalence of HCV antibodies was 8.5% (8/94). In this group multivariate analysis showed that Anti-HCV positivity correlated with hepatitis previous to CAPD (P<0.0003, OR: 126) and Anti HBc positivity (P=0.002, OR:41.9). CONCLUSIONS Our prevalence of hepatitis C virus (HCV) infection in CAPD patients was lower than other renal replacement therapy modalities, and correlated to events occurring mainly before starting CAPD treatment. This technique could be considered as low risk for HCV infection.
Hyperuricemia and Risk of Incident Hypertension: A Systematic Review and Meta-Analysis of Observational Studies

Background Observational studies of the relationship between hyperuricemia and the incidence of hypertension are controversial. We conducted a systematic review and meta-analysis to assess the association and consistency between uric acid levels and the risk of hypertension development. Methods We searched MEDLINE, EMBASE, CBM (Chinese Biomedicine Database) through September 2013 and reference lists of retrieved studies to identify cohort studies and nested case-control studies with uric acid levels as exposure and incident hypertension as outcome variables. Two reviewers independently extracted data and assessed study quality using Newcastle-Ottawa Scale. Extracted information included study design, population, definition of hyperuricemia and hypertension, number of incident hypertension, effect sizes, and adjusted confounders. Pooled relative risks (RRs) and corresponding 95% confidence intervals (CIs) for the association between hyperuricemia and risk of hypertension were calculated using a random-effects model. Results We included 25 studies with 97,824 participants assessing the association between uric acid and incident hypertension in our meta-analysis. The quality of included studies is moderate to high. Random-effects meta-analysis showed that hyperuricemia was associated with a higher risk of incident hypertension, regardless of whether the effect size was adjusted or not, whether the data were categorical or continuous as 1 SD/1 mg/dl increase in uric acid level (unadjusted: RR = 1.73, 95% CI 1.46∼2.06 for categorical data, RR = 1.22, 95% CI 1.03∼1.45 for a 1 SD increase; adjusted: RR = 1.48, 95% CI 1.33∼1.65 for categorical data, RR = 1.15, 95% CI 1.06∼1.26 for a 1 mg/dl increase), and the risk is consistent in subgroup analyses and have a dose-response relationship. Conclusions Hyperuricemia may modestly increase the risk of hypertension incidence, consistent with a dose-response relationship.
Learning from a mixture of labeled and unlabeled examples with parametric side information

1 INTRODUCTION We investigate the tradeoff between labeled The classical problem of learning a classification rule and unlabeled sample complexities in learning can be stated as follows: patterns from classes " 1 " and a classification rule for a parametric two-class " 2 " (or " states of nature ") appear with probabilities problem. In the problem considered, a sam-P 1 = P and P2 = 1 – p, respectively; the pattern classes ple of m labeled examples and n unlabeled ex-are represented by feature vectors x in a common N-amples generated from a two-class, N-variate dimensional Euclidean space R N, the patterns of class Gaussian mixture is provided together with " i " distributed according to the class-conditional prob-side information specifying the parametric form ability density fi (x) (i = 1, 2), Labeled pairs (x, y) E of the probability densities. The class means RN x {1,2} are assumed generated according to the fol-and a priori class probabilities are, however, lowing mechanism: a pattern class (or " label ") y e {1,2} unknown parameters. In this framework we is first drawn randomly according to the distribution of use the maximum likelihood estimation method classes {p 1, P2}; a corresponding random feature vector to estimate the unknown parameters and uti-x c RN is then drawn according to the class-conditional lize rates of convergence of uniform strong laws density fv. In the supervised learning scenario, a labeled to determine the tradeoff between error rate m-sample { (xj, y j), 1 < j < m } is acquired by inde-and sample complexity. In particular, we show pendent sampling from the distribution of pairs (x, y). that for the algorithm used, the misclassifi-Using the sample, the objective is to construct a deci-mation probability deviates from the minimal sion rule which when presented with a random pattern Bayes error rate by Cl(N3/5n-' /5) + Cl(e-cm) x drawn from the mixture density where N is the dimension of the feature space, f(x) = plfl (x) + P2f2(x) m is the number of labeled examples, n is the number of unlabeled examples, and c is a pos-produces a label which disagrees with the true class it ive constant. of origin by a probability P~,,O, close to the minimal pB~yw error rate. Formally this learning problem can be formulated in the framework of the Probably Approximately Correct (PAC) learning model (cf. [9, 10]) as follows: Given e …
Hygroscopic properties of the ambient aerosol in southern Sweden – a two year study

Abstract. The hygroscopic growth of the atmospheric aerosol is a critical parameter for quantifying the anthropogenic radiative forcing. Until now, there has been a lack of long term measurements due to limitations in instrumental techniques. In this work, for the first time the seasonal variation of the hygroscopic properties of a continental background aerosol has been described, based on more than two years of continuous measurements. In addition to this, the diurnal variation of the hygroscopic growth has been investigated, as well as the seasonal variation in CCN concentration. These physical properties of the aerosol have been measured with a Hygroscopic Tandem Differential Mobility Analyzer (H-TDMA), a Differential Mobility Particle Sizer (DMPS), and a Cloud Condensation Nuclei Counter (CCNC). The results show that smaller particles are generally less hygroscopic than larger ones, and that there is a clear difference in the hygroscopic properties between the Aitken and the accumulation mode. A seasonal cycle was found for all particle sizes. In general, the average hygroscopic growth is lower during wintertime, due to an increase in the relative abundance of less hygroscopic or barely hygroscopic particles. Monthly averages showed that the hygroscopic growth factors of the two dominating hygroscopic modes (one barely hygroscopic and one more hygroscopic) were relatively stable. The hygroscopic growth additionally showed a diurnal cycle, with higher growth factors during day time. CCN predictions based on H-TDMA data underpredicted the activated CCN number concentration with 7 % for a 1 % water supersaturation ratio. The underprediction increases with decreasing s , most likely due to a combination of measurement and modeling uncertainties. It was found that although the aerosol is often externally mixed, recalculating to an internal mixture with respect to hygroscopicity did not change the CCN concentration as a function of supersaturation significantly.
InfoScout: An Interactive, Entity Centric, Person Search Tool

Individuals living in highly networked societies publish a large amount of personal, and potentially sensitive, information online. Web investigators can exploit such information for a variety of purposes, such as in background vetting and fraud detection. However, such investigations require a large number of expensive man hours and human effort. This paper describes InfoScout, a search tool which is intended to reduce the time it takes to identify and gather subject centric information on the Web. InfoScout collects relevance feedback information from the investigator in order to re-rank search results, allowing the intended information to be discovered more quickly. Users may still direct their search as they see fit, issuing ad-hoc queries and filtering existing results by keywords. Design choices are informed by prior work and industry collaboration.
Data Mining Approach for Predictive Modeling of Agricultural Yield Data

- Prediction of agricultural yields is a challenging task that demands fusion of knowledge from different areas such as data mining, statistics and agriculture. This paper shows that data mining techniques can be successfully applied to agricultural data analysis. Results that we present are gained on the data set that contains monthly measurements of different environmental parameters and annual yields for maize, soybean and sugar beet. Obtained results are in compliance with previous results on plant production modeling that are at the core of agricultural science.