Miracle-dz/UniFAR-FTUs huggingface dataset:
Alternatively Activated Macrophages Elicited by Helminth Infection Can Be Reprogrammed to Enable Microbial Killing1

The prime function of classically activated macrophages (activated by Th1-type signals, such as IFN-γ) is microbial destruction. Alternatively activated macrophages (activated by Th2 cytokines, such as IL-4 and IL-13) play important roles in allergy and responses to helminth infection. We utilize a murine model of filarial infection, in which adult nematodes are surgically implanted into the peritoneal cavity of mice, as an in vivo source of alternatively activated macrophages. At 3 wk postinfection, the peritoneal exudate cell population is dominated by macrophages, termed nematode-elicited macrophages (NeMφ), that display IL-4-dependent features such as the expression of arginase 1, RELM-α (resistin-like molecule α), and Ym1. Since increasing evidence suggests that macrophages show functional adaptivity, the response of NeMφ to proinflammatory Th1-activating signals was investigated to determine whether a switch between alternative and classical activation could occur in macrophages differentiated in an in vivo infection setting. Despite the long-term exposure to Th2 cytokines and antiinflammatory signals in vivo, we found that NeMφ were not terminally differentiated but could develop a more classically activated phenotype in response to LPS and IFN-γ. This was reflected by a switch in the enzymatic pathway for arginine metabolism from arginase to inducible NO synthase and the reduced expression of RELM-α and Ym1. Furthermore, this enabled NeMφ to become antimicrobial, as LPS/IFN-γ-treated NeMφ produced NO that mediated killing of Leishmania mexicana. However, the adaptation to antimicrobial function did not extend to key regulatory pathways, such as IL-12 production, which remained unaltered.
Wear Behavior of a Glass Fiber-Reinforced PEI Composite

The wear behavior of a thermoplastic polymer, polyetherimide, and of a composite with this polymer as matrix and a reinforcement of glass fiber fabric has been analyzed. The test was carried out according to the Standard ASTM G99 using a device pin-on-disk. Obviously, the reinforced material has higher wear strength than the nonreinforced material. Also, the evolution of the wear with the temperature has been studied at ambient temperature and at 50, 100, 150, and 200°C. The effect of the temperature is very important because when it was increased the wear was increased, except to 200°C. At 200°C there was an important decrease. The test temperature was measured in the inner of the furnace and when it was 200°C in this zone, the temperature in the contact point was higher and it would be close to glass transition temperature of the polymer (~217°C), this is the reason for an important micro-structural variation in the material.
Investigation on Risk Factors of Ventilator-Associated Pneumonia in Acute Cerebral Hemorrhage Patients in Intensive Care Unit

Ventilator-associated pneumonia (VAP) is a predominant factor of pulmonary infection. We analyzed the risk factors of VAP with acute cerebral hemorrhage in intensive care unit (ICU) by univariate and multivariate logistic regression analyses. After comparison of 197 cases of the VAP and non-VAP patients, we found that age > 65 years (P = 0.003), smoke (P = 0.003), coronary heart disease (P = 0.005), diabetes (P = 0.001), chronic obstructive pulmonary disease (COPD) (P = 0.002), ICU and hospital stay (P = 0.01), and days on mechanical ventilation (P = 0.01) were significantly different, indicating that they are risk factors of VAP. All the age > 65 years (OR = 3.350, 95% CI = 1.936–5.796, P ≤ 0.001), smoke (OR = 3.206, 95% CI = 1.909–5.385, P ≤ 0.001), coronary heart disease (OR = 3.179, 95% CI = 1.015–4.130, P = 0.017), diabetes (OR = 5.042, 95% CI = 3.518–7.342, P ≤ 0.001), COPD (OR = 1.942, 95% CI = 1.258–2.843, P = 0.012), ICU and hospital stay (OR = 2.34, 95% CI = 1.145–3.892, P = 0.038), and days on mechanical ventilation (OR = 1.992, 95% CI = 1.107–3.287, P = 0.007) are independent risk factors of VAP. After observation of patients with 6 months of follow-up, the BI score was significantly lower in VAP than that in non-VAP, and the rebleeding rate and mortality rate were significantly higher in VAP than those in non-VAP. Thus, the prognosis of the patients with acute cerebral hemorrhage and VAP in ICU is poor.
Community-based health programmes: role perceptions and experiences of female peer facilitators in Mumbai's urban slums

Community-based initiatives have become a popular approach to addressing the health needs of underserved populations, in both low- and higher-income countries. This article presents findings from a study of female peer facilitators involved in a community-based maternal and newborn health intervention in urban slum areas of Mumbai. Using qualitative methods we explore their role perceptions and experiences. Our findings focus on how the facilitators understand and enact their role in the community setting, how they negotiate relationships and health issues with peer groups, and the influence of credibility. We contextualize this within broader conceptualizations of peer-led health interventions and offer recommendations for similar community-based health initiatives.
ABACUS: A technique for automated behavioral synthesis of approximate computing circuits

Many classes of applications, especially in the domains of signal and image processing, computer graphics, computer vision, and machine learning, are inherently tolerant to inaccuracies in their underlying computations. This tolerance can be exploited to design approximate circuits that perform within acceptable accuracies but have much lower power consumption and smaller area footprints (and often better run times) than their exact counterparts. In this paper, we propose a new class of automated synthesis methods for generating approximate circuits directly from behavioral-level descriptions. In contrast to previous methods that operate at the Boolean level or use custom modifications, our automated behavioral synthesis method enables a wider range of possible approximations and can operate on arbitrary designs. Our method first creates an abstract synthesis tree (AST) from the input behavioral description, and then applies variant operators to the AST using an iterative stochastic greedy approach to identify the optimal inexact designs in an efficient way. Our method is able to identify the optimal designs that represent the Pareto frontier trade-off between accuracy and power consumption. Our methodology is developed into a tool we call ABACUS, which we integrate with a standard ASIC experimental flow based on industrial tools. We validate our methods on three realistic Verilog-based benchmarks from three different domains - signal processing, computer vision and machine learning. Our tool automatically discovers optimal designs, providing area and power savings of up to 50% while maintaining good accuracy.
Membrane topology and multimeric structure of a mechanosensitive channel protein of Escherichia coli.

We have studied the membrane topology and multimeric structure of a mechanosensitive channel, MscL, which we previously isolated and cloned from Escherichia coli. We have localized this 15‐kDa protein to the inner membrane and, by PhoA fusion, have shown that it contains two transmembrane domains with both the amino and carboxyl termini on the cytoplasmic side. Mutation of the glutamate at position 56 to histidine led to changes in channel kinetics which were dependent upon the pH on the periplasmic, but not cytoplasmic side of the membrane, providing additional evidence for the periplasmic positioning of this part of the molecule. Tandems of two MscL subunits expressed as a single polypeptide formed functional channels, suggesting an even number of transmembrane domains per subunit (amino and carboxyl termini on the same side of the membrane), and an even number of subunits per functional complex. Finally, cross‐linking studies suggest that the functional MscL complex is a homohexamer. In summary, these data are all consistent with a protein domain assignment and topological model which we propose and discuss.
Model-Based Synthesis of Visual Speech Movements from 3D Video

We describe a method for the synthesis of visual speech movements using a hybrid unit selection/model-based approach. Speech lip movements are captured using a 3D stereo face capture system and split up into phonetic units. A dynamic parameterisation of this data is constructed which maintains the relationship between lip shapes and velocities; within this parameterisation a model of how lips move is built and is used in the animation of visual speech movements from speech audio input. The mapping from audio parameters to lip movements is disambiguated by selecting only the most similar stored phonetic units to the target utterance during synthesis. By combining properties of model-based synthesis (e.g., HMMs, neural nets) with unit selection we improve the quality of our speech synthesis.
Risk factors for resistance to "first-line" antimicrobials among urinary tract isolates of Escherichia coli in children.

BACKGROUND There are increasing concerns regarding antimicrobial resistance in Canada. Data are limited on the prevalence, patterns of resistance and risk factors associated with resistant organisms, including coliforms, in children. This study was done to address these issues as they relate to urinary tract isolates of Escherichia coli in a tertiary care pediatric centre in Ottawa. METHODS A surveillance study was conducted from December 1992 to December 1994. Susceptibility testing of urinary tract isolates of E. coli was performed using a panel of antimicrobial agents. A case-control study was also conducted for subjects with isolates resistant to trimethoprim-sulfamethoxazole (T-S), this drug being used a representative "first-line" agent. RESULTS A total of 1636 consecutive isolates were obtained from 967 subjects. Of the 1636 isolates, 736 (45.0%) were resistant to ampicillin, 514 (31.4%) were resistant to T-S, 363 (22.2%) were resistant to both ampicillin and T-S, and 27 (1.7%) were resistant to both ampicillin and gentamicin. In the case-control study 274 children with isolates resistant to T-S were matched with 274 children who had T-S-sensitive isolates obtained during the study period or the preceding or subsequent 6 months. Multivariate analyses indicated that subjects who had received antimicrobials for more than 4 weeks in the previous 6 months were about 23 times more likely to have isolates resistant to T-S than were subjects without this risk factor (odds ratio [OR] 23.4, 95% confidence interval [CI] 12.0-47.6). Children with genitourinary tract abnormalities were 2.4 times more likely to have resistant isolates than those without such abnormalities (95% CI 1.2-4.5). Compared with children who had no hospital admissions in the previous year, those with 1 admission in that period were more likely to have resistant isolates (OR 2.3, 95% CI 1.4-7.5), as were those with 2 or more admissions in that period (OR 3.2, 95% CI 1.1-4.8). Compared with children aged 2-6 years, children under 2 years of age were less likely to have resistant isolates (OR 0.3, 95% CI 0.2-0.8). INTERPRETATION Selective antimicrobial pressure and multiple admissions to hospital were among the risk factors associated with antimicrobial resistance. The finding of a low but definite level of resistance to both ampicillin and gentamicin is important for the selection of empiric therapy for sepsis in neonates. The role of inexpensive first-line agents in the outpatient treatment and prevention of urinary tract infections requires re-examination, particularly in children who have recently received antimicrobial therapy.
Acculturation to the Global Culture as Moderator to Subjective Norm and Internet Adoption

Internet adoption is seen as a prerequisite to the diffusion of eCommerce. Underdeveloped online markets exist in the Middle East. However, there is a scarcity of knowledge related to these markets [1]. This paper complements the work of Stafford et al. [1] by reporting on the results of a study on Internet adoption in two urban social communities in Jordan. We examine the effects of the phenomenon of globalization on Internet adoption. Results indicate that the Acculturation to the Global Culture moderates the relationship between subjective norm and Internet adoption with perceived ease of use and perceived usefulness playing their well known roles.
Renal Interstitial Hydrostatic Pressure and Urinary Sodium Excretion in Rats with Angiotensin‐Converting Enzyme Inhibitor‐Induced Papillary Atrophy

The importance of angiotensin type‐1 (AT1) receptor stimulation during renal development has recently been established in both pharmacological and knockout models. We have previously reported irreversible and progressive papillary atrophy and a reduced baseline renal interstitial hydrostatic pressure (RIHP) after neonatal angiotensin‐converting enzyme (ACE) inhibition. The aim of the present study was to investigate the consequences of these abnormalities on urinary sodium excretion during acute extracellular sodium loading. Rats were treated neonatally with enalapril (10 mg kg−1 day−1) or saline control from days 3 to 23 after birth. Urinary sodium excretion was assessed in relation to mean arterial pressure (MAP) and RIHP responses in adult anaesthetised rats during moderate (1·5 and 3% body weight) and severe (9% body weight) saline‐induced volume expansion. Control rats responded to the moderate volume expansion by increasing MAP by 16 ± 6% and RIHP by 40 ± 23%, respectively. In neonatally enalapril‐treated rats, however, MAP and RIHP remained unchanged and were associated with a smaller increase in sodium excretion (44 ± 11% of the total amount infused versus 71 ± 16% for controls, P < 0·05). In contrast, severe volume expansion resulted in marked pressure rises in both the enalapril‐treated group (36 ± 12 and 112 ± 48% of baseline for MAP and RIHP, respectively) and the control group (34 ± 21 and 130 ± 34% of baseline for MAP and RIHP, respectively). Moreover, the increases in MAP and RIHP were associated with complete excretion of the severe sodium challenge within 60 min in both treatment groups. We conclude that a RIHP response appears to be a prerequisite for adequate urinary sodium excretion in this model of papillary atrophy. Hence, an intact renal medulla is not mandatory in the renal handling of sodium during extracellular loading.
Laboratory-Scale Simulation and Real-Time Tracking of a Microbial Contamination Event and Subsequent Shock-Chlorination in Drinking Water

Rapid contamination of drinking water in distribution and storage systems can occur due to pressure drop, backflow, cross-connections, accidents, and bio-terrorism. Small volumes of a concentrated contaminant (e.g., wastewater) can contaminate large volumes of water in a very short time with potentially severe negative health impacts. The technical limitations of conventional, cultivation-based microbial detection methods neither allow for timely detection of such contaminations, nor for the real-time monitoring of subsequent emergency remediation measures (e.g., shock-chlorination). Here we applied a newly developed continuous, ultra high-frequency flow cytometry approach to track a rapid pollution event and subsequent disinfection of drinking water in an 80-min laboratory scale simulation. We quantified total (TCC) and intact (ICC) cell concentrations as well as flow cytometric fingerprints in parallel in real-time with two different staining methods. The ingress of wastewater was detectable almost immediately (i.e., after 0.6% volume change), significantly changing TCC, ICC, and the flow cytometric fingerprint. Shock chlorination was rapid and detected in real time, causing membrane damage in the vast majority of bacteria (i.e., drop of ICC from more than 380 cells μl-1 to less than 30 cells μl-1 within 4 min). Both of these effects as well as the final wash-in of fresh tap water followed calculated predictions well. Detailed and highly quantitative tracking of microbial dynamics at very short time scales and for different characteristics (e.g., concentration, membrane integrity) is feasible. This opens up multiple possibilities for targeted investigation of a myriad of bacterial short-term dynamics (e.g., disinfection, growth, detachment, operational changes) both in laboratory-scale research and full-scale system investigations in practice.
Restless bandits with switching costs: linear programming relaxations, performance bounds and limited lookahead policies

The multi-armed bandit problem and one of its most interesting extensions, the restless bandits problem, are frequently encountered in various stochastic control problems. We present a linear programming relaxation for the restless bandits problem with discounted rewards, where only one project can be activated at each period but with additional costs penalizing switching between projects. The relaxation can be efficiently computed and provides a bound on the achievable performance. We describe several heuristic policies; in particular, we show that a policy adapted from the primal-dual heuristic of Bertsimas and Nino-Mora (2000) for the classical restless bandits problem is in fact equivalent to a one-step lookahead policy; thus, the linear programming relaxation provides a means to compute an approximation of the cost-to-go. Moreover, the approximate cost-to-go is decomposable by project, and this allows the one-step lookahead policy to take the form of an index policy, which can be computed on-line very efficiently. We present numerical experiments, for which we assess the quality of the heuristics using the performance bound
The contribution of additive genetic variation to personality variation: heritability of personality

Individual animals frequently exhibit repeatable differences from other members of their population, differences now commonly referred to as ‘animal personality’. Personality differences can arise, for example, from differences in permanent environmental effects―including parental and epigenetic contributors―and the effect of additive genetic variation. Although several studies have evaluated the heritability of behaviour, less is known about general patterns of heritability and additive genetic variation in animal personality. As overall variation in behaviour includes both the among-individual differences that reflect different personalities and temporary environmental effects, it is possible for personality to be largely genetically influenced even when heritability of behaviour per se is quite low. The relative contribution of additive genetic variation to personality variation can be estimated whenever both repeatability and heritability are estimated for the same data. Using published estimates to address this issue, we found that approximately 52% of animal personality variation was attributable to additive genetic variation. Thus, while the heritability of behaviour is often moderate or low, the heritability of personality is much higher. Our results therefore (i) demonstrate that genetic differences are likely to be a major contributor to variation in animal personality and (ii) support the phenotypic gambit: that evolutionary inferences drawn from repeatability estimates may often be justified.
Landscape Effects of a Non-Native Grass Facilitate Source Populations of a Native Generalist Bug, Stenotus rubrovittatus, in a Heterogeneous Agricultural Landscape

Abstract Non-native plant species can provide native generalist insects, including pests, with novel food and habitats. It is hypothesized that local and landscape-level abundances of non-native plants can affect the population size of generalist insects, although generalists are assumed to be less sensitive to habitat connectivity than specialists. In a heterogeneous landscape in Japan, the relationship between the density of a native pest of rice (Stenotus rubrovittatus (Matsumura) (Heteroptera: Miridae)) and the abundance of Italian ryegrass (Lolium multiflorum Lam. (Poales: Poaceae)), a non-native meadow grass known to facilitate S. rubrovittatus, was analyzed. Statistical analyses of data on bug density, vegetation, and the spatial distribution of fallow fields and meadows dominated by Italian ryegrass, obtained by field surveys, demonstrated that local and landscape-level abundances of Italian ryegrass (the unmowed meadow areas within a few hundred meters of a sampling plot) positively affected bug density before its immigration into rice fields. Our findings suggest that a generalist herbivorous insect that prefers non-native plants responds to spatial availability and connectivity of plant species patches at the metapopulation level. Fragmentation by selective mowing that decreases the total area of source populations and increases the isolation among them would be an effective and environmentally-friendly pest management method.
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts

This paper describes an Arabic dialect identification system which we developed for the Discriminating Similar Languages (DSL) 2016 shared task. We classified Arabic dialects by using Waikato Environment for Knowledge Analysis (WEKA) data analytic tool which contains many alternative filters and classifiers for machine learning. We experimented with several classifiers and the best accuracy was achieved using the Sequential Minimal Optimization (SMO) algorithm for training and testing process set to three different feature-sets for each testing process. Our approach achieved an accuracy equal to 42.85% which is considerably worse in comparison to the evaluation scores on the training set of 80-90% and with training set “60:40” percentage split which achieved accuracy around 50%. We observed that Buckwalter transcripts from the Saarland Automatic Speech Recognition (ASR) system are given without short vowels, though the Buckwalter system has notation for these. We elaborate such observations, describe our methods and analyse the training dataset.
An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram

Protein sequence classification is increasingly crucial in the current “biological information sciences” epoch, where researchers hammer at functional genomics and proteomics technologies for predicting the function of large-scale new proteins. This has sparked interest in the methods which do not rely on traditional sequence alignment, but prefer machine learning approaches. In this paper, we present a Convolutional Neural Network (CNN) based method to perform the classification on the different levels of G-protein Coupled Receptors (GPCRs). The method is implemented in conjunction with an improved feature extraction method and TF-IDF feature weighting strategy. Experimental results indicate that the proposed method makes significant improvements over previous methods, which attains an accuracy of up to 98.34%, 98.13% and 96.47% in the classification of family level, subfamily level I and II, respectively. In comparison to the other well-known classification methods for GPCRs, the classification error rate of the proposed method is reduced by of at least 55.14% (family level), 72.86% (level I) and 52.63% (Level II).
Versus Laparoscopic Transabdominal Preperitoneal Repair For Inguinal Hernia

INTRODUCTION: The surgical history of inguinal hernias dates back to ancient Egypt. There are three important landmarks in the history of hernia management; tissue repair by Bassini 1888, Lichenstein mesh repair 1984 and laparoscopic mesh repair by Ger 1990. In the late 20th century the tension free repair, introduced by Irving Lichtenstein, caused a dramatic drop in recurrence rates and became the procedure of choice. However, the introduction of a laparoscopic technique by Ralf Ger in the early 1990’s sparked a new debate