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Blood group O candidates have lower lung transplantation rates despite having the most common blood group. We postulated that waitlist outcomes among these candidates and those with other blood types vary with disease severity and lung allocation score (LAS).We performed a retrospective cohort study of 32,772 waitlist candidates using the United Network of Organ Sharing registry from May 2005 to 2020. After identifying an interaction between blood group and LAS, we evaluated the association between blood group and waitlist outcomes within LAS quartiles using unadjusted and adjusted competing risk models.In the lowest LAS quartile, blood group O had a 20% reduced transplantation rate (SHR: 0.80, 95%CI: 0.75-0.85) and higher waitlist death/removal (1.33, 95%CI: 1.15-1.55) compared with group A. Blood group AB had a 52% higher transplantation rate (SHR: 1.52, 95%CI: 1.34-1.73) in the lowest LAS quartile compared with group A. In the highest LAS quartile, there was no difference in transplantation rates between groups O and A. In contrast, group B had a 19% reduced transplantation rate (SHR, 0.81 95%CI: 0.73-0.89) and AB had a 28% reduced transplantation rate (SHR: 0.72, 95%CI: 0.61-0.86) in the highest LAS quartile. Additionally, groups B and AB had increased risk of waitlist death/removal in the highest LAS quartile compared with A (SHR: 1.27, 95%CI: 1.08-1.48; SHR: 1.31, 95%CI: 1.00-1.72).Waitlist outcomes among ABO blood groups vary depending on illness severity, which is represented by LAS. Blood group O has lower transplantation rates at low LAS while groups B and AB have lower transplantation rates at high LAS.

Green Logistics is a relatively new concept, a part of Green Economy, which considers not just economical aspects but also environmental problems. Unlike classic logistics, that looks only for optimal costs, green logistics is making sure that final decisions won’t have a negative effect on the environment or society. It’s making sure that people working in extractions are not exploited, routes are well designed and the environment is not affected. Thanks to Green Logistics concept there were created biofuels, electric trains and were discovered so many ways of benefiting from environment without damaging it., {"references":["1.\tCodul transportului feroviar nr. CP309/2003 din 17.07.2003, publicat în MONITORUL OFICIAL Nr 226-228, art. 892 la data de 14.11.2003","2.\tCurtea Europeană de Conturi, Raport Special - Transportul feroviar de marfă nu este încă pe calea cea bună, România, 2016","3.\tEuropean Environment Agency, Transport and environment report 2021, Decarbonising road transport – the role of vehicles, fuels and transport demand, EU, 2021","4.\tHotărâre cu privire la aprobarea Strategiei de transport și logistică pe anii 2013-2022 nr. 827 din 28.10.2013, publicat în MONITORUL OFICIAL Nr. 243-247/933 din 01.11.2013","5.\tJ. Cooper VISION 2050 A pathway for the evolution of the refining industry and liquid fuels, Fuels Europe, Brussel, 2018","6. Seroca-Stolka O. The development of green logistics for implementation sustainable development strategy in companies, Czestochowa University of Technology, Elsevier, Czestochowa, Polonia, 2014"]}

In this work, we studied the distribution of molecular markers in the chromosomes of tetraploid wheat. This distribution was drawn through the 192 line came from based on a cross between two durum wheat genotypes. The first parental line was a Triticum turgidum ssp. durum (Desf.). The second parental line was a durum wheat genotype derived from a cross between the Triticum turgidum ssp. Durum, (Omrabi 5). One hundred ninety-two F8 recombinant inbred lines (RILs) derived from the above mentioned cross by single-seed descent. A total of 254 markers were analyzed, including 216 microsatellites and 38 SNPs markers. Linkage analysis defined 14 linkage groups. Most markers (57.2%) were found to be located to the A genome, with an average of 12 markers per chromosome. The remaining (42.7%) were located to the B genome. To construct a stabilized (skeleton) map, markers interfering with map stability were removed. Efficient user-friendly methods for mapping plant genomes were highly desirable for the studies marker-assisted selection. SSR (microsatellite) markers are user-friendly and efficient in detecting polymorphism, but they detect few loci. The skeleton map consisted of 100 markers with a total length of 3170.29 cM and an average distance of 31.7 cM between adjacent markers. Majority of the markers showed a statistical significantly Mendelian segregation with 1:1 ratio (α=0.01). The highest percentage of markers was similar with the first parental. This SSR and SNP markers revealed a high proportion of clustering, which may be indicative of gene-rich regions. Some of the SSR, SNP markers were distributed for the first time on the current work. This project provided a useful groundwork for further genetic map, genetic analysis of important quantitative traits, positional cloning, and marker-assisted selection, as well as for genome comparative genomics and genome organization studies in wheat and other cereals.

El aneurisma de la aorta abdominal es una entidad frecuente, muchas veces silenciosa y que puede presentarse como una emergencia que amenaza la vida del paciente. Se describen las técnicas ecográficas para la evaluación de la aorta abdominal y se brindan consejos y trucos para la detección y cuantificación del aneurisma de la aorta abdominal.

It is well known that, in classification problems, the predictive capacity of any decision-making model decreases rapidly with increasing asymmetry of the target variable (Sonquist et al., 1973; Fielding 1977). In particular, in segmentation analysis with a categorical target variable, very poor improvements of purity are obtained when the least represented modality counts less than 1/4 of the cases of the most represented modality. The same problem arises with other (theoretically more exhaustive) techniques such as Artificial Neural Networks. Actually, the optimal situation for classification analyses is the maximum uncertainty, that is, equidistribution of the target variable. Some classification techniques are more robust, by using, for example, the less sensitive logit transformation of the target variable (Fabbris & Martini 2002); however, also the logit transformation is strongly affected by the distributive asymmetry of the target variable. In this paper, starting from the results of a direct survey in which the target (binary) variable was extremely asymmetrical (10% vs. 90%, or greater asymmetry), we noted that also the logit model with the most significant parameters had very reduced fitting measures and almost zero predictive power. To solve this predictive issue, we tested post-stratification techniques, artificially symmetrizing a training sample. In this way, a substantially increase of fitting and predictive capacity was achieved, both in the symmetrized sample and, above all, in the original sample. In conclusion of the paper, an application of the same technique to a dataset of very different nature and size is described, demonstrating that the method is stable even in the case of analysis executed with all data of a population.