bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental and numerical study of standard impact tests on polypropylene pipes with brittle behaviour
Authors: Domaneschi Marco 
Published: October 2012

This work deals on a straightforward methodology for analysing and identifying impact fractures in polypropylene commercial pipes through experimental tests and numerical procedures. The pipes are characterized by brittle behaviour at low temperature (0 °C). Laboratory experiments, at different conditions, explain the material behaviour and support the numerical study of the pipes to external blows and the dynamic simulation of the crack growth. The implemented numeric procedure enables us to follow the fracture path evolution by selectively deactivating the finite elements. Comparisons between impact tests and simulations, fracture toughness and the energy release rate, shows that the proposed method simulates the impact effects accurately and rapidly and allows the damage identification. Furthermore, the onset of clearly visible damage is correctly predicted.
An Empirical Test of the Arbitrage Pricing Theory—The Case of Indian Stock Market
Authors: Basu Debarati , Chawla Deepak 
Published: October 2012

With increasing doubt about the validity of the one-factor Capital Asset Pricing Model in pricing financial assets, development of newer models or extensions has become the order of the day. This paper applies one of these developments—the multi-factor Arbitrage Pricing Theory (APT) to explore the relationship between portfolio returns and selected macroeconomic variables. While the chosen model has been extensively tested in developed markets, few such attempts have been made in emerging capital markets. Thus, the purpose of this study is to test the validity of the APT model in India, which has, over the years, gained immense importance in the investors’ minds, the world over. Moreover, the surge in volatility and growth in the Indian capital markets over the past five years makes it an interesting market to study given the rising significance of the risk-return trade-off in such a market. The paper examines ten portfolios, covering 50 stocks, over a five-year period from 1 January 2003 to 1 February 2008 to verify the efficiency and efficacy of the model and finds that APT is a suitable descriptor of asset prices in the Indian context. To overcome the problem of multicollinearity among the macroeconomic explanatory variables, a factor analysis was carried out that resulted in two factors namely the inflation factor and the market index. The excess portfolio returns were regressed on these factors. The regression results display accurate relationships that are significant for each of the 10 portfolios and moderate to high explanatory power. Thus, it concludes that APT is a good fit in India over the chosen sample period.
PURA for Connectivity
Authors: Datta Subhash 
Published: October 2012

The PURA (Providing Urban Amenities in Rural Areas) scheme has been designed to induce sustainable growth in underdeveloped areas. The test region is the Nuh Block, Haryana, a region severely lacking the amenities required for an area with a population of 201,816 which is increasing rapidly. The proposed development period of 2005 to 2020 is split into three equal phases to help distribute the expenditure evenly over time. Five ‘nodal’ villages are chosen to act as centres of development for the block. These are linked together through the road network system. Three alternative networks are discussed in terms of the cost-effectiveness of the design.
Immunization uptake in younger siblings of children with autism spectrum disorder
Authors: Kuwaik Ghassan Abu , Roberts Wendy , Zwaigenbaum Lonnie , Bryson Susan , Smith Isabel M , Szatmari Peter , Modi Bonnie M , Tanel Nadia , Brian Jessica 
Published: October 2012

Background: Parental concerns persist that immunization increases the risk of autism spectrum disorder, resulting in the potential for reduced uptake by parents of younger siblings of children with autism spectrum disorder (“younger sibs”). Objective: To compare immunization uptake by parents for their younger child relative to their older child with autism spectrum disorder (“proband”) and controls. Design: Immunization status was obtained for 98 “younger sibs,” 98 “probands,” and 65 controls. Results: A significant group difference emerged for overall immunization status (Fisher’s exact test = 62.70, p < .001). One or more immunizations in 59/98 younger sibs were delayed (47/98; 48%) or declined (12/98; 12.2%); immunizations were delayed in 16/98 probands (16.3%) and declined in only one. All controls were fully immunized, with only 6 (9.2%) delayed. Within the “younger sibs” group, 25/98 received an autism spectrum disorder diagnosis; 7 of whom (28%) were fully immunized. The rates of autism spectrum disorder diagnosis did not differ between immunized and nonimmunized younger sib groups, although small sample size limits interpretability of this result. Conclusion: Parents who already have one child with autism spectrum disorder may delay or decline immunization for their younger children, potentially placing them at increased risk of preventable infectious diseases.
Fas-deficient mice have impaired alveolar neutrophil recruitment and decreased expression of anti-KC autoantibody:KC complexes in a model of acute lung injury
Authors: Gil Sucheol , Farnand Alex W , Altemeier William A , Gill Sean E , Kurdowska Anna , Krupa Agnieszka , Florence Jon M , Matute-Bello Gustavo 
Published: October 2012

AbstractBackgroundExposure to mechanical ventilation enhances lung injury in response to various stimuli, such as bacterial endotoxin (LPS). The Fas/FasL system is a receptor ligand system that has dual pro-apoptotic and pro-inflammatory functions and has been implicated in the pathogenesis of lung injury. In this study we test the hypothesis that a functioning Fas/FasL system is required for the development of lung injury in mechanically ventilated mice.MethodsC57BL/6 (B6) and Fas-deficientlprmice were exposed to either intra-tracheal PBS followed by spontaneous breathing or intra-tracheal LPS followed by four hours mechanical ventilation with tidal volumes of 10 mL/kg, respiratory rate of 150 breaths per minute, inspired oxygen 0.21 and positive end expiratory pressure (PEEP) of 3 cm of water.ResultsCompared with the B6 mice, thelprmice showed attenuation of the neutrophilic response as measured by decreased numbers of BAL neutrophils and lung myeloperoxidase activity. Interestingly, the B6 andlprmice had similar concentrations of pro-inflammatory cytokines, including CXCL1 (KC), and similar measurements of permeability and apoptosis. However, the B6 mice showed greater deposition of anti-KC:KC immune complexes in the lungs, as compared with thelprmice.ConclusionsWe conclude that a functioning Fas/FasL system is required for full neutrophilic response to LPS in mechanically ventilated mice.
Frnakenstein: multiple target inverse RNA folding
Authors: Lyngsø Rune B , Anderson James WJ , Sizikova Elena , Badugu Amarendra , Hyland Tomas , Hein Jotun 
Published: October 2012

Abstract

Background
RNA secondary structure prediction, or folding, is a classic problem in bioinformatics: given a sequence of nucleotides, the aim is to predict the base pairs formed in its three dimensional conformation. The inverse problem of designing a sequence folding into a particular target structure has only more recently received notable interest. With a growing appreciation and understanding of the functional and structural properties of RNA motifs, and a growing interest in utilising biomolecules in nano-scale designs, the interest in the inverse RNA folding problem is bound to increase. However, whereas the RNA folding problem from an algorithmic viewpoint has an elegant and efficient solution, the inverse RNA folding problem appears to be hard.

Results
In this paper we present a genetic algorithm approach to solve the inverse folding problem. The main aims of the development was to address the hitherto mostly ignored extension of solving the inverse folding problem, the multi-target inverse folding problem, while simultaneously designing a method with superior performance when measured on the quality of designed sequences. The genetic algorithm has been implemented as a Python program called Frnakenstein. It was benchmarked against four existing methods and several data sets totalling 769 real and predicted single structure targets, and on 292 two structure targets. It performed as well as or better at finding sequences which folded in silico into the target structure than all existing methods, without the heavy bias towards CG base pairs that was observed for all other top performing methods. On the two structure targets it also performed well, generating a perfect design for about 80% of the targets.

Conclusions
Our method illustrates that successful designs for the inverse RNA folding problem does not necessarily have to rely on heavy biases in base pair and unpaired base distributions. The design problem seems to become more difficult on larger structures when the target structures are real structures, while no deterioration was observed for predicted structures. Design for two structure targets is considerably more difficult, but far from impossible, demonstrating the feasibility of automated design of artificial riboswitches. The Python implementation is available athttp://www.stats.ox.ac.uk/research/genome/software/frnakenstein.
Molecular characteristics of erythromycin-resistant Streptococcus pneumoniaefrom pediatric patients younger than five years in Beijing, 2010
Authors: Zhou Lin , Ma Xiang , Gao Wei , Yao Kai-hu , Shen A-dong , Yu Sang-jie , Yang Yong-hong 
Published: October 2012

Abstract

Background

Streptococcus pneumoniae is the main pathogen that causes respiratory infections in children younger than five years. The increasing incidence of macrolide- and tetracycline-resistant pneumococci among children has been a serious problem in China for many years. The molecular characteristics of erythromycin-resistant pneumococcal isolates that were collected from pediatric patients younger than five years in Beijing in 2010 were analyzed in this study.

Results
A total of 140 pneumococcal isolates were collected. The resistance rates of all isolates to erythromycin and tetracycline were 96.4% and 79.3%, respectively. Of the 135 erythromycin-resistant pneumococci, 91.1% were non-susceptible to tetracycline. In addition, 30.4% of the erythromycin-resistant isolates expressed both the ermB and mef genes, whereas 69.6% expressed the ermB gene but not the mef gene. Up to 98.5% of the resistant isolates exhibited the cMLSB phenotype, and Tn6002 was the most common transposon present in approximately 56.3% of the resistant isolates, followed by Tn2010, with a proportion of 28.9%. The dominant sequence types (STs) in all erythromycin-resistant S. pneumoniae were ST271 (11.9%), ST81 (8.9%), ST876 (8.9%), and ST320 (6.7%), whereas the prevailing serotypes were 19F (19.3%), 23F (9.6%), 14 (9.6%), 15 (8.9%), and 6A (7.4%). The 7-valent pneumococcal conjugate vaccine (PCV7) and 13-valent pneumococcal conjugate vaccine (PCV13) coverage of the erythromycin-resistant pneumococci among the children younger than five years were 45.2% and 62.2%, respectively. ST320 and serotype 19A pneumococci were common in children aged 0 to 2 years. CC271 was the most frequent clonal complex (CC), which accounts for 24.4% of all erythromycin-resistant isolates.

Conclusions
The non-invasive S. pneumoniae in children younger than five years in Beijing presented high and significant resistance rates to erythromycin and tetracycline. The expressions of ermB and tetM genes were the main factors that influence pneumococcal resistance to erythromycin and tetracycline, respectively. Majority of the erythromycin-resistant non-invasive isolates exhibited the cMLSB phenotype and carried the ermB, tetM, xis, and int genes, suggesting the spread of the transposons of the Tn916 family. PCV13 provided higher serotype coverage in the childhood pneumococcal diseases caused by the erythromycin-resistant isolates better than PCV7. Further long-term surveys are required to monitor the molecular characteristics of the erythromycin-resistant S. pneumoniae in children.
Quantitative RT-PCR based platform for rapid quantification of the transcripts of highly homologous multigene families and their members during grain development
Authors: Kaczmarczyk Agnieszka , Bowra Steve , Elek Zoltan , Vincze Eva 
Published: October 2012

AbstractBackgroundCereal storage proteins represent one of the most important sources of protein for food and feed and they are coded by multigene families. The expression of the storage protein genes exhibits a temporal fluctuation but also a response to environmental stimuli. Analysis of temporal gene expression combined with genetic variation in large multigene families with high homology among the alleles is very challenging.ResultsWe designed a rapid qRT-PCR system with the aim of characterising the variation in the expression of hordein genes families. All the known D-, C-, B-, and γ-hordein sequences coding full length open reading frames were collected from commonly available databases. Phylogenetic analysis was performed and the members of the different hordein families were classified into subfamilies. Primer sets were designed to discriminate the gene expression level of whole families, subfamilies or individual members. The specificity of the primer sets was validated before successfully applying them to a cDNA population derived from developing grains of field grownHordeum vulgarecv. Barke. The results quantify the number of moles of transcript contributed to a particular gene family and its subgroups. More over the results indicate the genotypic specific gene expression.ConclusionsQuantitative RT-PCR with SYBR Green labelling can be a useful technique to follow gene expression levels of large gene families with highly homologues members. We showed variation in the temporal expression of genes coding for barley storage proteins. The results imply that our rapid qRT-PCR system was sensitive enough to identify the presence of alleles and their expression profiles. It can be used to check the temporal fluctuations in hordein expressions or to find differences in their response to environmental stimuli. The method could be extended for cultivar recognition as some of the sequences from the database originated from cv. Golden Promise were not expressed in the studied barley cultivar Barke although showed primer specificity with their cloned DNA sequences.
Illness Mapping: a time and cost effective method to estimate healthcare data needed to establish community-based health insurance
Authors: Binnendijk Erika , Gautham Meenakshi , Koren Ruth , Dror David M 
Published: October 2012

Abstract

Background
Most healthcare spending in developing countries is private out-of-pocket. One explanation for low penetration of health insurance is that poorer individuals doubt their ability to enforce insurance contracts. Community-based health insurance schemes (CBHI) are a solution, but launching CBHI requires obtaining accurate local data on morbidity, healthcare utilization and other details to inform package design and pricing. We developed the “Illness Mapping” method (IM) for data collection (faster and cheaper than household surveys).

Methods
IM is a modification of two non-interactive consensus group methods (Delphi and Nominal Group Technique) to operate as interactive methods. We elicited estimates from “Experts” in the target community on morbidity and healthcare utilization. Interaction between facilitator and experts became essential to bridge literacy constraints and to reach consensus.
The study was conducted in Gaya District, Bihar (India) during April-June 2010. The intervention included the IM and a household survey (HHS). IM included 18 women’s and 17 men’s groups. The HHS was conducted in 50 villages with1,000 randomly selected households (6,656 individuals).

Results
We found good agreement between the two methods on overall prevalence of illness (IM: 25.9% ±3.6; HHS: 31.4%) and on prevalence of acute (IM: 76.9%; HHS: 69.2%) and chronic illnesses (IM: 20.1%; HHS: 16.6%). We also found good agreement on incidence of deliveries (IM: 3.9% ±0.4; HHS: 3.9%), and on hospital deliveries (IM: 61.0%. ± 5.4; HHS: 51.4%). For hospitalizations, we obtained a lower estimate from the IM (1.1%) than from the HHS (2.6%). The IM required less time and less person-power than a household survey, which translate into reduced costs.

Conclusions
We have shown that our Illness Mapping method can be carried out at lower financial and human cost for sourcing essential local data, at acceptably accurate levels. In view of the good fit of results obtained, we assume that the method could work elsewhere as well.
Social interactions of eating behaviour among high school students: a cellular automata approach
Authors: Dabbaghian Vahid , Mago Vijay K , Wu Tiankuang , Fritz Charles , Alimadad Azadeh 
Published: October 2012

Abstract

Background
Overweight and obesity in children and adolescents is a global epidemic posing problems for both developed and developing nations. The prevalence is particularly alarming in developed nations, such as the United States, where approximately one in three school-aged adolescents (ages 12-19) are overweight or obese. Evidence suggests that weight gain in school-aged adolescents is related to energy imbalance exacerbated by the negative aspects of the school food environment, such as presence of unhealthy food choices. While a well-established connection exists between the food environment, presently there is a lack of studies investigating the impact of the social environment and associated interactions of school-age adolescents. This paper uses a mathematical modelling approach to explore how social interactions among high school adolescents can affect their eating behaviour and food choice.

Methods
In this paper we use a Cellular Automata (CA) modelling approach to explore how social interactions among school-age adolescents can affect eating behaviour, and food choice. Our CA model integrates social influences and transition rules to simulate the way individuals would interact in a social community (e.g., school cafeteria). To replicate these social interactions, we chose the Moore neighbourhood which allows all neighbours (eights cells in a two-dimensional square lattice) to influence the central cell. Our assumption is that individuals belong to any of four states; Bring Healthy, Bring Unhealthy, Purchase Healthy, and Purchase Unhealthy, and will influence each other according to parameter settings and transition rules. Simulations were run to explore how the different states interact under varying parameter settings.

Results
This study, through simulations, illustrates that students will change their eating behaviour from unhealthy to healthy as a result of positive social and environmental influences. In general, there is one common characteristic of changes across time; students with similar eating behaviours tend to form groups, represented by distinct clusters. Transition of healthy and unhealthy eating behaviour is non-linear and a sharp change is observed around a critical point where positive and negative influences are equal.

Conclusions
Conceptualizing the social environment of individuals is a crucial step to increasing our understanding of obesogenic environments of high-school students, and moreover, the general population. Incorporating both contextual, and individual determinants found in real datasets, in our model will greatly enhance calibration of future models. Complex mathematical modelling has a potential to contribute to the way public health data is collected and analyzed.
Pro-inflammatory cytokines and bone fractures in CKD patients. An exploratory single centre study
Authors: Panuccio Vincenzo , Enia Giuseppe , Tripepi Rocco , Aliotta Roberta , Mallamaci Francesca , Tripepi Giovanni , Zoccali Carmine 
Published: October 2012

Abstract

Background
Pro-inflammatory cytokines play a key role in bone remodeling. Inflammation is highly prevalent in CKD-5D patients, but the relationship between pro-inflammatory cytokines and fractures in CKD-5D patients is unclear. We studied the relationship between inflammatory cytokines and incident bone fractures in a cohort of CKD-5D patients.

Methods
In 100 CKD-5D patients (66 on HD, 34 on CAPD; males:63, females:37; mean age: 61 ± 15; median dialysis vintage: 43 months) belonging to a single renal Unit, we measured at enrolment bone metabolic parameters (intact PTH, bone and total alkaline phosphatase, calcium, phosphate) and inflammatory cytokines (TNF-α, IL-6, CRP). Patients were followed-up until the first non traumatic fracture.

Results
During follow-up (median: 74 months; range 0.5 -84.0) 18 patients experienced fractures. On categorical analysis these patients compared to those without fractures had significantly higher intact PTH (median: 319 pg/ml IQ range: 95–741 vs 135 pg/ml IQ: 53–346; p = 0.04) and TNF-α levels (median: 12 pg/ml IQ: 6.4-13.4 vs 7.8 pg/ml IQ: 4.6-11; p = 0.02). Both TNF-α (HR for 5 pg/ml increase in TNF-α: 1.62 95% CI: 1.05-2.50; p = 0.03) and intact PTH (HR for 100 pg/ml increase in PTH: 1.15 95% CI: 1.04-1.27; p = 0.005) predicted bone fractures on univariate Cox’s regression analysis. In restricted (bivariate) models adjusting for previous fractures, age, sex and other risk factors both PTH and TNF-α maintained an independent association with incident fractures.

Conclusions
In our bivariate analyses TNF-α was significantly associated with incident fractures. Analyses in larger cohorts and with adequate number of events are needed to firmly establish the TNF α -fracture link emerged in the present study.
Parity, age at first birth, and risk of death from brain cancer: a population-based cohort study in Taiwan
Authors: Chiu Hui-Fen , Chen Chih-Cheng , Tsai Shang-Shyue , Ho Shu-Chen , Yang Chun-Yuh 
Published: October 2012

AbstractBackgroundThis study was undertaken to examine whether there is an association between parity and age at first birth and risk of death from brain cancer.MethodsThe study cohort consisted of 1,292,462 women who had a first and singleton childbirth between Jan. 1, 1978 and Dec. 31, 1987. We tracked each woman from the time of their first childbirth to December 31, 2009, and their vital status was ascertained by linking records with the computerized mortality database. Cox proportional hazard regression models were used to estimate the hazard ratios (HR) of death from brain cancer associated with parity and age at first birth.ResultsThere were 316 brain cancer deaths during 34,980,246 person-years of follow-up. The mortality rate of brain cancer was 0.90 cases per 100,000 person-years. The adjusted HR was 1.35 (95% CI= 0.91-2.01) for women who gave birth between 21 and 25, 1.61 (95% CI=1.05-2.45) for women who gave birth after 25 years of age, respectively, when compared with women who gave birth less than 20 years. A trend of increasing risk of brain cancer was seen with increasing age at first birth. The adjusted HR were 0.73 (95% CI= 0.53-0.99) for women who had 2 children, and 0.60 (95% CI =0.43-0.83) for women with 3 or more births, respectively, when compared with women who had given birth to only 1 child. There was a significant decreasing trend in the HRs of brain cancer with increasing parity.ConclusionsThis study provides evidence that reproductive factors (parity and early age at first birth) may confer a protective effect on the risk of death from brain cancer.