Schedule Synchronisation in public Transport by Tabu Search and Genetic Method

This paper concerns schedule synchronization problems in public transit networks. In particular, it consists of three main parts. In the first the subject area is introduced, the terms are defined and framework for optimal synchronization in the form of problem representation and formulation is proposed. The second part is devoted to transfer synchronization problem when passengers changing transit lines at transfer points. The intergrated Tabu Search and Genetic solution method is developed with respect to this specific problem. The third part deals with headways harmonization problem i.e. synchronization of different transit lines schedules on a common segments of routes. For the solution of this problem a new bilevel optimization method is proposed with zones harmonization at the bottom level and co-ordination of zones, by time buffers assigned to timing points, at the upper level. Finally, the synchronization problems are numerically illustrated by real-life examples of the public transport lines in Cracow

Biological activities of alkaloids: From toxicology to pharmacology

Plants produce many secondary metabolites, which reveal biological activity [...]

Identification of moisture transport mechanism in gypsum during convective drying

[EN] Gypsum is a popular building material. Drying and rewetting of gypsum is a process of practical importance. This work presents the experimental results of kinetic of drying, heating and internal pressure development in rewetted gypsum cylinders. Analysis of the observed changes is presented. Additionally sorption isotherms, permeability and dependence of Young’s modulus on moisture content were measured. These data will be used in the model of the process under development.Adamski, R.; Adamska, A.; Pakowski, Z. (2018). Identification of moisture transport mechanism in gypsum during convective drying. En IDS 2018. 21st International Drying Symposium Proceedings. Editorial Universitat Politècnica de València. 379-386. https://doi.org/10.4995/IDS2018.2018.7527OCS37938

Common variants of ZNF750, RPTOR and TRAF3IP2 genes and psoriasis risk

Psoriasis vulgaris is a genetically heterogenous disease with unclear molecular background. We assessed the association of psoriasis and its main clinical phenotypes with common variants of three potential psoriasis susceptibility genes: ZNF750, RPTOR and TRAF31P2. We genotyped 10 common variants in a cohort of 1,034 case–control individuals using Taqman genotyping assays and sequencing. Minor alleles of all four TRAF3IP2 variants were more frequent among cases. The strongest, significant association was observed for rs33980500 (OR = 2.5, p = 0.01790). Minor allele of this SNP was always present in two haplotypes found to be associated with increased psoriasis risk: rs13196377_G + rs13190932_G + rs33980500_T + rs13210247_A (OR = 2.7, p = 0.0054) and rs13196377_A + rs13190932_A + rs33980500_T + rs13210247_G (OR = 1.8, p = 0.0008). Analyses of clinically relevant phenotypes revealed association of rs33980500 with pustular psoriasis (OR = 1.2, p = 0.0109). We observed significant connection of severity of cutaneous disease with variation at rs13190932 and suggestive with three remaining TRAF3IP2 SNPs. Another positive associations were found between age of onset and familial aggregation of disease: smoking and younger age of onset, smoking and occurrence of pustular psoriasis, nail involvement and arthropatic psoriasis, nail involvement and more severe course of psoriasis. We found no statistically significant differences in the prevalence of the examined variants of RPTOR and ZNF750 genes among our cases and controls. We have replicated the association of TRAF3IP2-_rs33980500 variant with the susceptibility to psoriasis. We have found new associations with clinically relevant subphenotypes such as pustular psoriasis or moderate-to-severe cases. We ascertain no connection of RPTOR and ZNF750 variants with psoriasis or its subphenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00403-013-1407-9) contains supplementary material, which is available to authorized users

Evaluation of genetic counseling among cystic fibrosis carriers, Michigan Newborn Screening

Objective A quality improvement (QI) strategy to improve the rate of genetic counseling (GC) services was initiated in cystic fibrosis (CF) care Center E in 2010. This statewide study was conducted to determine: (1) GC rates before and after implementation of the QI strategy at Center E; (2) characteristics associated with not receiving GC; and (3) topic areas addressed during GC. Methods The retrospective study included 1,097 CF carriers born from 2008 to 2011 identified through Michigan's Newborn Screening Program. Rate of GC services was determined for Center E and the other four CF centers before and after the QI change. Bivariate and multivariable logistic regression was used to determine associations between select characteristics and not receiving GC. Topic areas discussed during GC sessions were assessed using frequency tables. Results Rate of GC services in Center E increased from 23% in 2008–2010 to 91% in 2011, while at the other centers approximately 92% received GC services across those years. In 2008–2010, being seen at Center E and black race were significantly associated with increased likelihood of not receiving GC services in adjusted analyses. In 2011, neither characteristic was associated with receipt of GC. Of 16 target topic areas, all were discussed in 85% of GC sessions. Conclusions Implementing a QI strategy of providing sweat test results at the GC appointment within Center E resulted in more CF carriers receiving comprehensive GC services. Center‐specific procedure differences should be assessed to increase rate of GC services following a positive CF newborn screen. Pediatr Pulmonol. 2013; 48:123–129. © 2012 Wiley Periodicals, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/96254/1/22703_ftp.pd

Measurements, Models, Systems and Design

531 s.

Potential range of impact of an ecological trap network: the case of timber stacks and the Rosalia longicorn

Although the negative impact of timber stacks on populations of saproxylic beetles is a well-known phenomenon, there is relatively little data concerning the scale of this impact and its spatial aspect. Beech timber stored in the vicinity of the forest can act as an ecological trap for the Rosalia longicorn (Rosalia alpina), so in this study we have attempted to determine the spatial range of the impact of a network of timber stacks. Timber stacks in the species’ range in the study area were listed and monitored during the adult emergence period in 2014–2016. Based on published data relating to the species’ dispersal capabilities, buffers of four radii (500, 1000, 1600, 3000 m) were delineated around the stacks and the calculated ranges of potential impact. The results show that the percentage of currently known localities of the Rosalia longicorn impacted by stacks varies from 19.7 to 81.6%, depending on the assumed impact radius. The percentage of forest influenced by timber stacks was 77% for the largest-radius buffer. The overall impact of the ecological trap network is accelerated by fragmentation of the impact-free area. It was also found that forests situated close to the timber stacks where the Rosalia longicorn was recorded were older and more homogeneous in age and species composition than those around stacks where the species was absent. Such results suggest that timber stacks act as an ecological trap in the source area of the local population

Recovering tradition in globalising rural China:Handicraft Birdcages in Da’ou village

This article explores a historic rural craft tradition as the focus of economic development through the valorisation of the local cultural heritage, or culture economy. The case‐study traces the revival of bamboo birdcage making in Da’ou village in Shandong Province, where the craft knowledge of making birdcages once prized by the Chinese imperial court has been passed on through generations and protected from outsiders. Since economic reforms in the 1980s, the birdcage craft has again become the major activity in Da’ou village, responding to new urban market demands, and bringing prosperity. Yet, through a conceptualisation of cultural heritage as a ‘prosaic third space’, the article reveals the dynamics and tensions involved in the incorporation of the birdcage tradition in local economic development strategies and the promotion of e‐commerce and tourism, and the processes of abstraction initiated. As such, it raises questions about the relationship between craft, knowledge and place that resonate beyond China. The research is based on semi‐structured interviews conducted in 2016 with respondents including local leaders, craftspeople, suppliers, and sellers

A network-based conditional genetic association analysis of the human metabolome

Background: Genome-wide association studies have identified hundreds of loci that influence a wide variety of complex human traits;however, little is known regarding the biological mechanism of action of these loci. The recent accumulation of functional genomics ("omics"), including metabolomics data, has created new opportunities for studying the functional role of specific changes in the genome. Functional genomic data are characterized by their high dimensionality, the presence of (strong) statistical dependency between traits, and, potentially, complex genetic control. Therefore, the analysis of such data requires specific statistical genetics methods. Results: To facilitate our understanding of the genetic control of omics phenotypes, we propose a trait-centered, network-based conditional genetic association (cGAS) approach for identifying the direct effects of genetic variants on omics-based traits. For each trait of interest, we selected from a biological network a set of other traits to be used as covariates in the cGAS. The network can be reconstructed either from biological pathway databases (a mechanistic approach) or directly from the data, using a Gaussian graphical model applied to the metabolome (a data-driven approach). We derived mathematical expressions that allow comparison of the power of univariate analyses with conditional genetic association analyses. We then tested our approach using data from a population-based Cooperative Health Research in the region of Augsburg (KORA) study (n = 1,784 subjects, 1.7 million single-nucleotide polymorphisms) with measured data for 151 metabolites. Conclusions: We found that compared to single-trait analysis, performing a genetic association analysis that includes biologically relevant covariates can either gain or lose power, depending on specific pleiotropic scenarios, for which we provide empirical examples. In the context of analyzed metabolomics data, the mechanistic network approach had more power compared to the data-driven approach. Nevertheless, we believe that our analysis shows that neither a prior-knowledge-only approach nor a phenotypic-data-only approach is optimal, and we discuss possibilities for improvement