Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of High Risk People with Cardiovascular Disease in Chinese Rural Areas: Clinical Indictors, Disease Patterns and Drug Treatment

Background and Aims Current cardiovascular disease (CVD) prevention is based on diagnosis and treatment of specific disease. Little is known for high risk people with CVD at the community level. In rural China, health records of all residents were established after the recent health reforms. This study aims to describe the characters of the rural population with high CVD risk regarding their clinical indicators, disease patterns, drug treatment and adherence. Methods and Results 17042 (87%) of all the 19500 rural residents in the two townships had valid health records in 2009. We employed a validated tool, the Asian Equation, to screen 8182 (48%) resident health records of those aged between 40–75 years in 2010. Those who were identified with a CVD risk of 20% or higher were selected for a face-to-face questionnaire survey regarding their diagnosed disease and drug treatment. 453 individuals were identified as high risk of CVD, with an average age of 53 years, 62% males, 50% smoking rate and average systolic blood pressure of 161 mmHg. 386 (85%) participated in the survey, while 294 (76%) were diagnosed with and 88 (23%) were suspects of CVD, hypertension, diabetes or hyperlipidaemia. 75 (19%) took drug regularly and 125 (32%) either stopped treatment or missed drugs. The most often used drugs were calcium channel blockers (20%). Only 2% used aspirins and 0.8% used statins. The median costs of drugs were 17 RMB (USD2.66) per month. Conclusion The majority of the high risk population in our setting of rural China had already been diagnosed with a CVD related disease, but very few took any drugs, and less still took highly effective drugs to prevent CVD. A holistic strategy focused on population with high risk CVD and based on the current China public health reform is suggested in the context of primary care.
Rigorous luminosity function determination in the presence of a background: theory and application to two intermediate redshift clusters

In this paper we present a rigorous derivation of the luminosity function (LF) in the presence of a background. Our approach is free from the logical contradictions of assigning negative values to positively defined quantities and avoids the use of incorrect estimates for the 68 per cent confidence interval (error bar). It accounts for Poisson fluctuations ignored in previous approaches and does not require binning of the data. The method is extensible to more complex situations, does not require the existence of an environment-independent LF, and clarifies issues common to field LF derivations. We apply the method to two clusters of galaxies at intermediate redshift (z ∼ 0.3) with among the deepest and widest K s observations ever taken. Finally, we point out the shortcomings of flip-flopping magnitudes.
PROPEL: an approach supporting property elucidation

Property specifications concisely describe what a software system is supposed to do. It is surprisingly difficult to write these properties correctly. There are rigorous mathematical formalisms for representing properties, but these are often difficult to use. No matter what notation is used, however, there are often subtle, but important, details that need to be considered. PROPEL aims to make the job of writing and understanding properties easier by providing templates that explicitly capture these details as options for commonly-occurring property patterns. These templates are represented using both "disciplined" natural language and finite-state automata, allowing the specifier to easily move between these two representations.
6D workspace constraints for physical human-robot interaction using invariance control with chattering reduction

For safety in physical human-robot interaction (pHRI) the robot motion must be restricted to an admissible (safe) region. In this work, we propose a systematic approach to guarantee the satisfaction of virtual workspace constraints in 6D for arbitrary manipulator dynamics based on an extended invariance control concept. Invariance control yields a computationally efficient method to render multiple virtual nonlinear workspace boundaries. In order to make the scheme suitable for pHRI we present an approach to reduce chattering by explicitly considering the discrete-time Euler solver output. Orientation constraints are unambiguously represented as unit quaternions. The theoretical results are successfully validated in simulation and experiments on a 7-DoF anthropomorphic manipulator.
A Conserved Interaction between the Replicative Clamp Loader and DNA Ligase in Eukaryotes

The recruitment of DNA ligase I to replication foci and the efficient joining of Okazaki fragments is dependent on the interaction between DNA ligase I and proliferating cell nuclear antigen (PCNA). Although the PCNA sliding clamp tethers DNA ligase I to nicked duplex DNA circles, the interaction does not enhance DNA joining. This suggests that other factors may be involved in the joining of Okazaki fragments. In this study, we describe an association between replication factor C (RFC), the clamp loader, and DNA ligase I in human cell extracts. Subsequently, we demonstrate that there is a direct physical interaction between these proteins that involves both the N- and C-terminal domains of DNA ligase I, the N terminus of the large RFC subunit p140, and the p36 and p38 subunits of RFC. Although RFC inhibited DNA joining by DNA ligase I, the addition of PCNA alleviated inhibition by RFC. Notably, the effect of PCNA on ligation was dependent on the PCNA-binding site of DNA ligase I. Together, these results provide a molecular explanation for the key in vivo role of the DNA ligase I/PCNA interaction and suggest that the joining of Okazaki fragments is coordinated by pairwise interactions among RFC, PCNA, and DNA ligase I.
Impact of a Complex Food Microbiota on Energy Metabolism in the Model Organism Caenorhabditis elegans

The nematode Caenorhabditis elegans is widely used as a model system for research on aging, development, and host-pathogen interactions. Little is currently known about the mechanisms underlying the effects exerted by foodborne microbes. We took advantage of C. elegans to evaluate the impact of foodborne microbiota on well characterized physiological features of the worms. Foodborne lactic acid bacteria (LAB) consortium was used to feed nematodes and its composition was evaluated by 16S rDNA analysis and strain typing before and after colonization of the nematode gut. Lactobacillus delbrueckii, L. fermentum, and Leuconostoc lactis were identified as the main species and shown to display different worm gut colonization capacities. LAB supplementation appeared to decrease nematode lifespan compared to the animals fed with the conventional Escherichia coli nutrient source or a probiotic bacterial strain. Reduced brood size was also observed in microbiota-fed nematodes. Moreover, massive accumulation of lipid droplets was revealed by BODIPY staining. Altered expression of nhr-49, pept-1, and tub-1 genes, associated with obesity phenotypes, was demonstrated by RT-qPCR. Since several pathways are evolutionarily conserved in C. elegans, our results highlight the nematode as a valuable model system to investigate the effects of a complex microbial consortium on host energy metabolism.
Biomass-fired Boiler Control Using Simulated Annealing Optimized Improved Varela Immune Controller

Water temperature control of biomass-fired boilers represents a process with extreme delay which makes it quite difficult to stabilize it using conventional PID controller tuned according to commonly used PID tuning rules. It is proposed here to use a controller based on Varela-Countinho second generation immune network which was shown to have very good anti-delay capabilities. Since there are currently no tuning rules for this type of controller, simulated annealing algorithm is used for optimizing the set of controller parameters to achieve good performance according to IAE criterion. The resulting controller is shown to offer stable performance even for such a long time-delay which is also robust for up to 30% variations in system time constant compared to a nominal case.
ADOLESCENTS: FINDINGS FROM THE ARIZONA YOUTH SURVEY

Parental monitoring serves as a key element in the reduction of adolescent substance use, but little is known about how various monitoring practices relate to different levels of use. This study examined the association between two forms of parental monitoring (parental knowledge and parental supervision) and two substance use outcomes (alcohol and marijuana) for Hispanic and non-Hispanic White eighth graders using the Arizona Youth Survey (n = 11,703). Results demonstrated that parental supervision and parental knowledge protected against alcohol and marijuana use for both ethnic groups, but tests for ethnic differences indicated that parental supervision was more protective against high levels of marijuana use for White youth compared to Hispanic youth. Gender differences were also observed with girls benefitting more from both forms of monitoring compared to boys. However, these effects were dependent on the level of substance use involvement and the substance use outcome.
Visualizing model mappings in UML

Whenever multiple representations or models of a system exist, there is the possibility of defining how they relate. In model driven software development, it is essential that these mappings are defined precisely and automated as far as possible: they form the basis for generation of code and other models from a model, for reconciliation and management of consistency between models, and even for the definition of modeling languages themselves. A standard way of defining software modeling languages is metamodeling, which involves the construction of an object model of the syntax and, optionally, semantics of the language, using the diagrammatic syntax of the Unified Modeling Language (UML). This paper proposes an extension to UML for expressing mappings between models using diagrams, and illustrates how the extension can be used in metamodeling. The extension is inspired by mathematical relations and corrects a deficiency in the concept of association in class diagrams. The notation of object diagrams is also extended to allow particular instances of a relation to be presented.
Multistate observations of the Galactic black hole XTE J1752-223: evidence for an intermediate black hole spin

The Galactic black hole candidate XTE J1752−223 was observed during the decay of its 2009 outburst with the Suzaku and XMM–Newton observatories. The observed spectra are consistent with the source being in the ‘intermediate’ and ‘low-hard’ states, respectively. The presence of a strong, relativistic iron emission line is clearly detected in both observations and the line profiles are found to be remarkably consistent and robust to a variety of continuum models. This strongly points to the compact object in XTE J1752−223 being a stellar mass black hole accretor and not a neutron star. Physically motivated and self-consistent reflection models for the Fe Kα emission-line profile and disc reflection spectrum rule out either a non-rotating, Schwarzschild black hole or a maximally rotating, Kerr black hole at greater than 3σ level of confidence. Using a fully relativistic line function in which the black hole spin parameter is a variable, we have formally constrained the spin parameter to be 0.52 ± 0.11(1σ ). Furthermore, we show that the source in the low-hard state still requires an optically thick disc component having a luminosity which is consistent with the L ∝ T 4 relation expected for a thin disc extending down to the innermost stable circular orbit. Our result is in contrast to the prevailing paradigm that the disc is truncated in the low-hard state.
Characterization and source apportionment of submicron aerosol with aerosol mass spectrometer during the PRIDE-PRD 2006 campaign

Abstract. Size-resolved chemical compositions of non-refractory submicron aerosol were measured using an Aerodyne quadrupole aerosol mass spectrometer (Q-AMS) at the rural site Back Garden (BG), located ~50 km northwest of Guangzhou in July 2006. This paper characterized the submicron aerosol particles of regional air pollution in Pearl River Delta (PRD) in the southern China. Organics and sulfate dominated the submicron aerosol compositions, with average mass concentrations of 11.8 ± 8.4 μg m −3 and 13.5 ± 8.7 μg m −3 , respectively. Unlike other air masses, the air masses originated from Southeast-South and passing through the PRD urban areas exhibited distinct bimodal size distribution characteristics for both organics and sulfate: the first mode peaked at vacuum aerodynamic diameters ( D va ) ∼200 nm and the second mode occurred at D va from 300–700 nm. With the information from AMS, it was found from this study that the first mode of organics in PRD regional air masses was contributed by both secondary organic aerosol formation and combustion-related emissions, which is different from most findings in other urban areas (first mode of organics primarily from combustion-related emissions). The analysis of AMS mass spectra data by positive matrix factorization (PMF) model identified three sources of submicron organic aerosol including hydrocarbon-like organic aerosol (HOA), low volatility oxygenated organic aerosol (LV-OOA) and semi-volatile oxygenated organic aerosol (SV-OOA). The strong correlation between HOA and EC indicated primary combustion emissions as the major source of HOA while a close correlation between SV-OOA and semi-volatile secondary species nitrate as well as between LV-OOA and nonvolatile secondary species sulfate suggested secondary aerosol formation as the major source of SV-OOA and LV-OOA at the BG site. However, LV-OOA was more aged than SV-OOA as its spectra was highly correlated with the reference spectra of fulvic acid, an indicator of aged and oxygenated aerosol. The origin of HOA and OOA (the sum of LV-OOA and SV-OOA) has been further confirmed by the statistics that primary organic carbon (POC) and secondary organic carbon (SOC), estimated by the EC tracer method, were closely correlated with HOA and OOA, respectively. The results of the EC tracer method and of the PMF model revealed that primary organic aerosol (POA) constituted ~34–47 % of OA mass and secondary organic aerosol (SOA) constituted ~53–66 % of regional organic aerosol in PRD during summer season. The presence of abundant SOA was consistent with water soluble organic carbon (WSOC) results (accounting for ~60 % of OC on average) by Miyazaki et al. (2009) for the same campaign. OOA correlated well with WSOC at the BG site, indicating that most OOA were water soluble. More specifically, approximately 86 % of LV-OOA and 61 % of SV-OOA were estimated as water soluble species on the basis of carbon content comparison.
The innovation value chain

Innovation events - the introduction of new products or processes - represent the end of a process of knowledge sourcing and transformation. They also represent the beginning of a process of exploitation which may result in an improvement in the performance of the innovating business. This recursive process of knowledge sourcing, transformation and exploitation we call the innovation value chain. Modelling the innovation value chain for a large group of manufacturing firms in Ireland and Northern Ireland highlights the drivers of innovation, productivity and firm growth. In terms of knowledge sourcing, we find strong complementarity between horizontal, forwards, backwards, public and internal knowledge sourcing activities. Each of these forms of knowledge sourcing also makes a positive contribution to innovation in both products and processes although public knowledge sources have only an indirect effect on innovation outputs. In the exploitation phase, innovation in both products and processes contribute positively to company growth, with product innovation having a short-term ‘disruption’ effect on labour productivity. Modelling the complete innovation value chain highlights the structure and complexity of the process of translating knowledge into business value and emphasises the role of skills, capital investment and firms’ other resources in the value creation process.
Research for Evaluation of Regional Strategy Industry and Selection of Development Strategy Based on Rough Theory and BCG Matrix

This paper makes an empirical analysis on Gongyi’s industry status through the rough theory. Combined with the related research results of domestic scholars, it selected the Gongyi’s leading industries, pillar industries and guide industries, and will combine the above-mentioned industries Boston Strategy Matrix tool analysis. Finally, based on the BCG matrix, the development strategic orientation of each strategic industry and policy suggestions have been put forward.
DNA damage response and Ku80 function in the vertebrate embryo

Cellular responses to DNA damage reflect the dynamic integration of cell cycle control, cell–cell interactions and tissue-specific patterns of gene regulation that occurs in vivo but is not recapitulated in cell culture models. Here we describe use of the zebrafish embryo as a model system to identify determinants of the in vivo response to ionizing radiation-induced DNA damage. To demonstrate the utility of the model we cloned and characterized the embryonic function of the XRCC5 gene, which encodes Ku80, an essential component of the nonhomologous end joining pathway of DNA repair. After the onset of zygotic transcription, Ku80 mRNA accumulates in a tissue-specific pattern, which includes proliferative zones of the retina and central nervous system. In the absence of genotoxic stress, zebrafish embryos with reduced Ku80 function develop normally. However, low dose irradiation of these embryos during gastrulation leads to marked apoptosis throughout the developing central nervous system. Apoptosis is p53 dependent, indicating that it is a downstream consequence of unrepaired DNA damage. Results suggest that nonhomologous end joining components mediate DNA repair to promote survival of irradiated cells during embryogenesis.
Pioglitazone Improves Fat Distribution, the Adipokine Profile and Hepatic Insulin Sensitivity in Non-Diabetic End-Stage Renal Disease Subjects on Maintenance Dialysis: A Randomized Cross-Over Pilot Study

Background Fat redistribution, increased inflammation and insulin resistance are prevalent in non-diabetic subjects treated with maintenance dialysis. The aim of this study was to test whether pioglitazone, a powerful insulin sensitizer, alters body fat distribution and adipokine secretion in these subjects and whether it is associated with improved insulin sensitivity. Trial Design This was a double blind cross-over study with 16 weeks of pioglitazone 45 mg vs placebo involving 12 subjects. Methods At the end of each phase, body composition (anthropometric measurements, dual energy X-ray absorptometry (DEXA), abdominal CT), hepatic and muscle insulin sensitivity (2-step hyperinsulinemic euglycemic clamp with 2H2-glucose) were measured and fasting blood adipokines and cardiometabolic risk markers were monitored. Results Four months treatment with pioglitazone had no effect on total body weight or total fat but decreased the visceral/sub-cutaneous adipose tissue ratio by 16% and decreased the leptin/adiponectin (L/A) ratio from 3.63×10−3 to 0.76×10−3. This was associated with a 20% increase in hepatic insulin sensitivity without changes in muscle insulin sensitivity, a 12% increase in HDL cholesterol and a 50% decrease in CRP. Conclusions/Limitations Pioglitazone significantly changes the visceral-subcutaneous fat distribution and plasma L/A ratio in non diabetic subjects on maintenance dialysis. This was associated with improved hepatic insulin sensitivity and a reduction of cardio-metabolic risk markers. Whether these effects may improve the outcome of non diabetic end-stage renal disease subjects on maintenance dialysis still needs further evaluation. Trial Registration ClinicalTrial.gov NCT01253928
Preparation of Long Oval Canals

and One Shape systems in the preparation of long oval root canals. Forty-two mandibular incisors were randomized into three groups: Group I, Wave One Primary (WO) (#25.08); Group II, Easy ProDesign Logic (EPL) (#25.06) and Group III, One Shape (OS) (#25.06). Microcomputed tomography scans were obtained preand post-preparation of the samples. Instrument fractures or loss of working length did not occur in any of the groups. There was a statistically significant difference in total root canal volume between the WO and EPL (p<0.05) and OS systems (p<0.05) The mean percentages of instrumented canal area in the middle thirds were 76.9% in the WO, 62.3% in the EPL and 71.8% in the OS (p>0.05). The OS system had the strongest correlation between volume increase and instrumented area (R=0.63). The WO, EPL and OS systems presented mean preparation times of 2.13 min, 0.54 min, and 2.21 min (p<0.05), respectively. All three systems enabled the safe preparation of long oval root canals. The WO system most effectively increased root canal volume, but it did not affect the instrumented areas. The OS system had the strongest correlation between volume increase and instrumented area, while the EPL system was the fastest. Per formance o f Three S ing le I n s t r u m e n t S y s t e m s i n t h e Preparation of Long Oval Canals
On near-critical and dynamical percolation in the tree case

Consider independent bond percolation with retention probability p on a spherically symmetric tree Γ. Write θΓ(p) for the probability that the root is in an infinite open cluster, and define the critical value pc=inf{p : θΓ(p)>0}. If θΓ(pc)=0, then the root may still percolate in the corresponding dynamical percolation process at the critical value pc, as demonstrated recently by Haggstrom, Peres, and Steif. Here we relate this phenomenon to the near-critical behavior of θΓ(p) by showing that the root percolates in the dynamical percolation process if and only if ∫(θΓ(p))−1 dp<∞. The “only if” direction extends to general trees, whereas the “if” direction fails in this generality. ©1999 John Wiley & Sons, Inc. Random Struct. Alg. , 15, 311–318, 1999
Transmission of spatial information in S-cone pathways

The mosaics of S-cones and the neurons to which they are connected are relatively well characterized, so the S-cone system is a good vehicle for exploring how the sampling of the retinal image controls visual performance. We used an interferometer to measure the grating acuity of the S-cone system in the fovea and at a range of eccentricities out to 20 deg. We also developed a simple model observer that, by assuming only that cone pathways are noisy and that signals are subject to eccentricity-dependent postreceptoral pooling, predicts the measured acuities from the sampling properties of the S-cone mosaic. The amount of pooling required to explain performance is consistent with that suggested by anatomical and physiological measurements.