Miracle-dz/UniFAR-FTUs huggingface dataset:
BACTERIAL ANTIBIOTIC SENSITIVITY PATTERN FROM URINE OF ASYMPTOMATIC NIV POSITIVE PREGNANT WOMEN

ondence: Dr. O.A. Awolude **>■ • . v ■ • • • ^Abstract . • • • • * • . ' . • . • , r:Introduction: Asymptomatic bacteriuria (ASB) in pregnancy.with 'adverse pregnancy outcome , hasjbderi well documented with Esche/idhia coli and other gram-negative rods being the common V*§r$Sij^iis(associated. However, most of these studies were done in patients without additional • immunosuppressant except for pregnancy. However; the additional risk of HiV infection in pregnant woman necessitates. the evaluation of the microbial isolates and antibiotic sensitivity pattern froififthe urine saniplesof these patients without any symptom. ", . ‘ Methods: A prospective cohort study was undertaken among. HfV.positive pregnant women . attending our Antiretroviral clinic between 1 st May and 30th September 2007. Information recorded from the patient questionnaire included age, parity, marital status, occupation, and level'of education. Culture and antibiotic sensitivity was carried out on aseptically collected urines from ■ the patients. Results: Twenty-five. (15.5%) of the 161 urine samples cultured.significantly grew organisms. Four of the urine specimen had, in addition, Candida' isolated. The mean age of participants was • 30.6 ± 4.3 years . and the modal parity was 2. The mean gestational age at presentation was 27.3± 3.2 weeks. Eshcherichia coli was isolated in 48%, Proteus in 16:0%, Klebsiella in 8.0%, • and Staphylococcus aureus in 28.0%. The antibiotic sensitivity test showed that the organisms were 100% sensitive to ciprofloxacin, 80% sensitive to cefuroxime, 60% sensitive to ofloxacin '• and augmentin but only 36%, 20%, 8.0% and 4.6% sensitive to co-trimoxazole, amoxycillin, chloramphenicol, erythromycin, nitrofurantoin and gentamycin, respectively. The organisms were ; . 100% resistant to tetracycline and . ampicillin. Conclusion: This-study shows that the microbial isolates of the ASB among HIV positive pregnant women are similar to those of HIV-negative counterparts but with varying drugxsensitivities.
Scelles, Nicolas and Andreff, Wladimir (2019) Determinants of national men’s football team performance: A focus on goal difference

In the literature, several articles have focused on the socioeconomic and sporting determinants of national men’s football team performance measured through FIFA points. In the present paper, knowledge improvement comes from focusing on goal difference in individual games. The main objectives are to verify that game outcomes have some determinants similar to FIFA points but also game specific variables (home advantage and sporting prizes). The methodology is based on regressions including all games over the 2011-2013 period (2584 observations). The results confirm that game outcomes have some determinants similar to FIFA points but also game specific variables.
Functional characteristics of a novel murine estrogen receptor- (cid:1) isoform, estrogen receptor- (cid:1) 2

We have isolated a highly expressed splice variant mRNA of murine estrogen receptor- (cid:1) (ER (cid:1) ), mER (cid:1) 2, containing an in-frame 54 nucleotide insertion between exons 5 and 6 of wild-type mER (cid:1) 1. The predicted ER (cid:1) 2 protein contains 18 amino acids inserted in the ligand binding domain of mER (cid:1) 1. Recombinant protein generated by in vitro transcription/translation showed that mER (cid:1) 2 had markedly reduced ligand binding ( K D =17·7 (cid:1) 4·7 nM, mean (cid:1)  .  .  . , n =3) compared with mER (cid:1) 1-bound 3 H-estradiol ( K D =0·56 (cid:1) 0·19 nM, mean (cid:1)  .  .  . , n =3). Both receptors bound similarly to palindromic estrogen responsive elements (EREs) in vitro and in vivo , and similarly bent DNA. Transcriptional activity was assessed using transient transfection analysis into a homologous murine cell line, NIH 3T3 cells. mER (cid:1) 1 transactivated ERE-tk-CAT reporter genes similarly to mER (cid:2) , whereas mER (cid:1) 2 had little activity except at high ligand concentrations. However, under conditions in which mER (cid:1) 2 is unlikely to be ligand saturated, co-transfected mER (cid:1) 2 inhibited activity of mER (cid:2) and possibly mER (cid:1) 1 on ERE-tk-CAT genes. Using a ‘novel raloxifene responsive’ gene reporter system (TGF- (cid:1) 3–CAT), we found the ability of estradiol and LY117018 to activate both mER (cid:2) and mER (cid:1) 1 on this promoter was identical, and mER (cid:1) 2 activity in the presence of either estradiol or LY117018 was only slightly less than that observed with either mER (cid:1) 1 or mER (cid:2) . Both mER (cid:1) 1 and mER (cid:1) 2 when liganded with LY117018 inhibited transcription at a classical ERE-regulated promoter under these transfection conditions, which was in marked contrast to their stimulatory e ﬀ ect at the transforming growth factor- (cid:1) 3 promoter. These data suggest that responsiveness of gene expression to a relatively highly expressed variant murine ER (cid:1) isoform, mER (cid:1) 2, is both ligand and promoter speciﬁc. Determination of the relative level of expression of mER (cid:1) 1 mRNA and mER (cid:1) 2 mRNA in mouse tissues indicated predominance of mER (cid:1) 2 mRNA in some but not all tissues. These data suggest that the mER (cid:1) 2 may have some tissue-speciﬁc (cid:1) 2 ( (cid:7) ) (83 ng) were co-transfected into NIH 3T3 cells together with 83 ng pCH110 and 333 ng CAT reporter vectors containing a novel raloxifene-responsive region present in the TGF- (cid:1) 3 promoter. The cells were treated with increasing concentrations of the raloxifene analog LY117018. The results represent the mean (cid:1)  .  . fold induced CAT activity of three independent experiments each performed in triplicate. X represents CAT activity after transfection of the reporter with empty expression vector alone, followed by
Central Artery Stiffness in Hypertension and Aging

Systemic hypertension is a risk factor for many diseases affecting the heart, brain, and kidneys. It has long been thought that hypertension leads to a thickening and stiffening of central arteries (ie, stiffness is a consequence), whereas more recent evidence suggests that stiffening precedes hypertension (ie, stiffness is a cause). We submit, however, that consideration of the wall biomechanics and hemodynamics reveals an insidious positive feedback loop that may render it irrelevant whether hypertension causes or is caused by central arterial stiffening. A progressive worsening can ensue in either case, thus any onset of stiffening merits early intervention.
Human 5/RANTES and by Lipopolysaccharide in Activated by the CC Chemokine Ligand Analysis of the Gene Expression Profile

The gene expression proﬁle induced by the CC chemokine ligand (CCL) 5/RANTES in human monocytes was examined using the oligonucleotide array technology. Of 5600 transcripts examined, 42 were consistently induced by CCL5, and none were sup-pressed. Chemokine-inducible transcripts could be clustered in functional groups, including selected cytokines and receptors (e.g., IL-1 (cid:1) , CCL2/monocyte chemotactic protein-1, and the CCL5 receptor CCR1) and molecules involved in extracellular matrix recognition and digestion (e.g., CD44 splice transcripts, urokinase-type plasminogen activator receptor, matrix metalloprotease (MMP)-9 , and MMP-19). Transcript expression, conﬁrmed by quantitative real-time PCR analysis for selected genes, was associated with protein induction for some (e.g., CCL2), but not all (e.g., IL-1 (cid:1) ), transcripts examined. The chemokine-induced gene proﬁle was distinct from that activated by LPS, a prototypic phagocyte activator. Although certain transcripts were stimulated by both agonists (e.g., IL-1 (cid:1) and CCL2), others were induced only by either LPS (e.g., TNF- (cid:2) and IL-6) or CCL5 (e.g., MMP-19) or were divergently regulated (e.g., CCR1). Thus, CCL5, a prototypic CC inﬂammatory chemokine, activates a restricted transcriptional program in monocytes distinct from
INTERACTION STRATEGIES USED BY ENGLISH FIRST ADDITIONAL LANGUAGE TEACHERS IN THE LIBODE EDUCATION DISTRICT IN SOUTH AFRICA

The study investigated the classroom interaction strategies used by teachers in their English First Additional Language classrooms in two selected schools in the Libode Education District. Language teaching has come under the spotlight recently due to the role language has in the whole epistemic access debate, especially where it relates to the rural context. The study employed a qualitative approach and a case study design. Six Intermediate Phase teachers were purposefully selected for data collection purposes. Observation was used as a method to collect data. The results showed that most teachers were using interactive strategies that are in line with the traditional approaches to language learning and, as a result, their classrooms were characterised by teacher dominance and learner passiveness. The study also revealed that very few teachers were using effective interactive strategies like group and pair work in their classrooms. The findings further revealed that the interactional strategies used by most teachers in the study inhibited learners’ language learning. The paper recommends that English First Additional Language teachers should use more engaging teaching and learning strategies that promote critical thinking, creativity and discovery learning.
Research Progress on the Experimental Animal Model of Gestational Diabetes Mellitus

: Gestational diabetes mellitus (GDM) refers to different degrees of abnormal glucose metabolism during pregnancy, where blood glucose levels do not reach the level of overt diabetes, accounting for 80–90% of pregnancy with hyperglycemia. Hyperglycemia affects the pregnancy process, leading to a series of adverse maternal outcomes that have a profound impact on the future of the offspring. The establishing of an appropriate GDM model will provide theoretical basis for study GDM pathogenesis involves, the choice of resonable drugs and the observation the disease trends and outcomes. At present, there are many methods for establishing experimental GDM animal models and animal choices. This paper examines the different GDM models and their induction methods. and Obesity: Targets and Therapy is an international, peer-reviewed open-access journal committed to the rapid publication of the latest laboratory and clinical findings in the fields of diabetes, metabolic syndrome and obesity research. Original research, review, case reports, hypothesis formation, expert opinion and commentaries are all considered for publication. The manu- script management system is completely online and includes a very quick and fair peer-review system, which is all easy to use. Visit http://www.dovepress. com/testimonials.php to read real quotes from published authors.
Hemolysis and Heme Oxygenase-1 Induction Malaria Is Related to Plasmodium falciparum Prolonged Neutrophil Dysfunction after

It is not known why people are more susceptible to bacterial infections such as nontyphoid Salmonella during and after a malaria infection, but in mice, malarial hemolysis impairs resistance to nontyphoid Salmonella by impairing the neutrophil oxidative burst. This acquired neutrophil dysfunction is a consequence of induction of the cytoprotective, heme-degrading enzyme heme oxygenase-1 (HO-1) in neutrophil progenitors in bone marrow. In this study, we assessed whether neutrophil dysfunction occurs in humans with malaria and how this relates to hemolysis. We evaluated neutrophil function in 58 Gambian children with Plasmodium falciparum malaria [55 (95%) with uncomplicated disease] and examined associations with erythrocyte count, haptoglobin, hemopexin, plasma heme, expression of receptors for heme uptake, and HO-1 induction. Malaria caused the appearance of a dominant population of neutrophils with reduced oxidative burst activity, which gradually normalized over 8 wk of follow-up. The degree of neutrophil impairment correlated signiﬁcantly with markers of hemolysis and HO-1 induction. HO-1 expression was increased in blood during acute malaria, but at a cellular level HO-1 expression was modulated by changes in surface expression of the haptoglobin receptor (CD163). These ﬁndings demonstrate that neutrophil dysfunction occurs in P. falciparum malaria and support the relevance of the mechanistic studies in mice. Furthermore, they suggest the presence of a regulatory pathway to limit HO-1 induction by hemolysis in the context of infection and indicate new targets for therapeutic intervention to abrogate the susceptibility to bacterial infection in the context of hemolysis in humans. The Journal of Immunology longitudinal data at different time points, and correlation was tested with Spearman’s rho correlation. To normalize distribution for general linear model analysis, some variables were log 10 transformed or converted to binary variables, as described in the text. Haptoglobin showed a bimodal distribution and were thus converted to a binary vari- able ( , 0.349 mg/ml, the lowest value observed in healthy control samples, or $ 0.349 mg/ml). Sample volumes did not allow for some assays to be performed at time points after day 0, in which case values from six healthy control children were presented for comparison, but not for formal analysis.
Response in Fungal Infection Immune Coupled with an Enhanced Adaptive Mice Is - / - An Aberrant Thymus in CCR5

CCR5 is a potent mediator of regulatory T cell (Treg) chemotaxis. In murine histoplasmosis, mice lacking CCR5 or endogenous CCL4 have a reduced number of Tregs in the lungs, which results in accelerated resolution ofinfection. In this study, we demonstrate that CCR5 controls the outcome of Histoplasma capsulatum infection by dictating thymic and lymph node egress of Tregs. Mice lacking CCR5 or treated with a mAb to CCL4 had more Tregs in the thymus prior to and during infection. Thymic accumulation was associated with diminished transcription of the sphingosine 1-phosphate 1 receptor and Kru¨ppel-like factor 2, both of which regulate thymic and lymph node emigration of T cells. The signiﬁcance of CCR5 in Treg egress was demonstrated by generating mixed bone marrow chimeras. Chimeric mice had an increased proportion of CCR5 2 / 2 Tregs in the thymus and lymph nodes and a decreased proportion of Tregs in the lungs prior to and during H . capsulatum infection. Hence, CCR5 signaling regulates pathogen persistence in murine histoplasmosis by regulating Tregs exiting from the thymus and lymph nodes and, consequently, their subsequent homing in the periphery. The Journal of Immunology , 2011, 186: 5949–5955.
ActivationB Cell Response and Not a Superantigen-Like Children Reflect a Classical Antigen-Driven IgE Transcripts in the Circulation of Allergic

Allergic asthma is the most frequent chronic disorder in childhood. Although IgE is a central effector molecule in allergic diseases, the nature of the IgE response is still under debate. The objective of our study was to clarify whether the IgE repertoire in the circulation of allergic children represents a classical Ag-driven and oligoclonal B cell response, a superantigen-like activation of a subset of B cells, or a polyclonal B-1 cell expansion. Using a highly sensitive RT-PCR method, we ampliﬁed, cloned, and sequenced IgE H chain transcripts from 13 children with allergic asthma. We gained 1366 functional IgE sequences, which currently represent the most extensive collection of human IgE transcripts. Compared to IgM transcripts from the same children, the somatic mutation rate was signiﬁcantly enhanced in IgE transcripts (21 ‰ versus 72 ‰ ; p , 0.001), which renders a polyclonal B-1 response unlikely. Moreover, IgE sequences displayed signiﬁcantly enhanced Ag selection and hence were indicative of a classical Ag-driven immune response with afﬁnity maturation ( p , 0.001). In contrast to several recent studies, the usage pattern of variable gene segment of the H Ig chain in IgE transcripts followed the germline complexity, arguing against a superantigen-like interaction. We conclude that IgE transcripts in the circulation of children with allergic asthma reﬂect a classical adaptive B-2 cell response. This study provides reference data for a better characterization of the IgE response under immunomodulating therapies, such as anti-IgE therapy or allergen-speciﬁc immunotherapy. The Journal of Immunology , 2010, 185: 2253–2260.
A Consistent and Efficient Evaluation Strategy for Attribution Methods

With a variety of local feature attribution methods being proposed in recent years, follow-up work suggested several evaluation strategies. To assess the attribution quality across different attribution techniques, the most popular among these evaluation strategies in the image domain use pixel perturbations. However, recent advances discovered that different evaluation strategies produce conflicting rankings of attribution methods and can be prohibitively expensive to compute. In this work, we present an information-theoretic analysis of evaluation strategies based on pixel perturbations. Our findings reveal that the results are strongly affected by information leakage through the shape of the removed pixels as opposed to their actual values. Using our theoretical insights, we propose a novel evaluation framework termed Remove and Debias (ROAD) which offers two contributions: First, it mitigates the impact of the confounders, which entails higher consistency among evaluation strategies. Second, ROAD does not require the computationally expensive retraining step and saves up to 99% in computational costs compared to the state-of-the-art. We release our source code at https://github.com/tleemann/road_evaluation.
Gaia DR3 in 6D: The search for fast hypervelocity stars and constraints on the Galactic Centre environment

The third data release (DR3) of the European Space Agency satellite Gaia provides coordinates, parallaxes, proper motions, and radial velocities for a sample of ∼ 34 million stars. We use the combined 6-dimensional phase space information to search for hypervelocity stars (HVSs), unbound stars accelerated by dynamical processes happening in the Galactic Centre. By looking at the kinematics of Gaia DR3 stars in Galactocentric coordinates and by integrating their orbits in the Galactic potential, we do not identify any HVS candidates with a velocity higher than 700 km s − 1 and robustly observed kinematics. Assuming a scenario wherein the interaction between a stellar binary and the massive black hole Sgr A ∗ is responsible for HVS ejections from the Galactic Centre, we derive degenerate limits on the ejection rate of HVSs and the slope of the initial mass function of the primary star among binaries in the Galactic Centre. Our results indicate that the HVS ejection rate is (cid:46) 8 × 10 − 5 yr − 1 assuming a Salpeter mass function, and this upper limit becomes progressively smaller for an increasingly top-heavy mass distribution. A ﬁducial HVS ejection rate of 10 − 4 yr − 1 prefers a mass function slope (cid:46) − 2 . 35, disfavouring previously claimed top-heavy initial mass functions among stars in the Galactic Centre.
Probabilistic Forecasting of Bus Travel Time with a Bayesian Gaussian Mixture Model

Accurate forecasting of bus travel time and its uncertainty is critical to service quality and operation of transit systems: it can help passengers make informed decisions on departure time, route choice, and even transport mode choice, and it also support transit operators on tasks such as crew/vehicle scheduling and timetabling. However, most existing approaches in bus travel time forecasting are based on deterministic models that provide only point estimation. To this end, we develop in this paper a Bayesian probabilistic model for forecasting bus travel time and estimated time of arrival (ETA). To characterize the strong dependencies/interactions between consecutive buses, we concatenate the link travel time vectors and the headway vector from a pair of two adjacent buses as a new augmented variable and model it with a mixture of constrained multivariate Gaussian distributions. This approach can naturally capture the interactions between adjacent buses (e.g., correlated speed and smooth variation of headway), handle missing values in data, and depict the multimodality in bus travel time distributions. Next, we assume different periods in a day share the same set of Gaussian components, and we use time-varying mixing coefficients to characterize the systematic temporal variations in bus operation. For model inference, we develop an efficient Markov chain Monte Carlo (MCMC) algorithm to obtain the posterior distributions of model parameters and make probabilistic forecasting. We test the proposed model using the data from two bus lines in Guangzhou, China. Results show that our approach significantly outperforms baseline models that overlook bus-to-bus interactions, in terms of both predictive means and distributions. Besides forecasting, the parameters of the proposed model contain rich information for understanding/improving the bus service, for example, analyzing link travel time and headway correlation using covariance matrices and understanding time-varying patterns of bus fleet operation from the mixing coefficients. Funding: This research is supported in part by the Fonds de Recherche du Quebec-Societe et Culture (FRQSC) under the NSFC-FRQSC Research Program on Smart Cities and Big Data, the Canadian Statistical Sciences Institute (CANSSI) Collaborative Research Teams grants, and the Natural Sciences and Engineering Research Council (NSERC) of Canada. X. Chen acknowledges funding support from the China Scholarship Council (CSC). Supplemental Material: The e-companion is available at https://doi.org/10.1287/trsc.2022. 0214 .
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Improving the quality of search results can significantly enhance users experience and engagement with search engines. In spite of several recent advancements in the fields of machine learning and data mining, correctly classifying items for a particular user search query has been a long-standing challenge, which still has a large room for improvement. This paper introduces the"Shopping Queries Dataset", a large dataset of difficult Amazon search queries and results, publicly released with the aim of fostering research in improving the quality of search results. The dataset contains around 130 thousand unique queries and 2.6 million manually labeled (query,product) relevance judgements. The dataset is multilingual with queries in English, Japanese, and Spanish. The Shopping Queries Dataset is being used in one of the KDDCup'22 challenges. In this paper, we describe the dataset and present three evaluation tasks along with baseline results: (i) ranking the results list, (ii) classifying product results into relevance categories, and (iii) identifying substitute products for a given query. We anticipate that this data will become the gold standard for future research in the topic of product search.