Ab interno gel implant in patients with primary open angle glaucoma and pseudoexfoliation glaucoma

Purpose: To compare efficacy and safety results of an ab interno gel implant in patients with pseudoexfoliation glaucoma (PXG) and primary open angle glaucoma (POAG). Methods: Retrospective analysis of the medical records of 110 consecutive eyes with open angle glaucoma who had received a XEN45 gel implant between March 2014 and June 2015. Intraocular pressure course, number of glaucoma medications, the need for additional intervention (including needling) and complications were evaluated until 12 months postoperatively. Results: Data of 67 eyes with POAG and 43 eyes with PXG were analyzed. At 12 months postoperatively, the mean IOP had significantly decreased by 54.0% from preoperatively 31.85 ± 8.5 mmHg to 13.99 ± 2.6 mmHg in the POAG group, (p = 0.000; Wilcoxon test), and by 55.2% from 31.63 ± 9.0 mmHg to 13.28 ± 3.1 mmHg in the PXG group (p = 0.000; Wilcoxon test). The mean number of anti-glaucoma medications had significantly decreased from 3.25 ± 0.8 at baseline to 0.3 ± 0.7 medications at 12 months postoperatively in POAG eyes (p = 0.000; Wilcoxon test), and from 3.05 ± 1.0 to 0.3 ± 0.6 medications in PXG eyes (p = 0.000; Wilcoxon test). Hypotony (IOP ≤ 6 mmHg) was observed in 2 POAG eyes (3.0%) and in 5 PXG eyes (11.7%) at 1 month but normalized in all eyes at 12 months postoperatively. Severe complications were not observed. No statistically significant differences were found between PXG eyes and POAG eyes. Conclusion: Our data indicate that the XEN45 gel implant provides significant and comparable reduction in IOP and anti-glaucoma medication during the one-year follow-up period in POAG as well as PXG eyes. This suggests that it may be a noteworthy alternative to traditional filtering procedures in patients with POAG and PXG respectively

Modelling effects of phytobiotic administration on coherent responses to Salmonella infection in laying hens

Practice of layer poultry farming and commercial egg production relies on the optimal use and improvement of the welfare and genetically determined functional abilities of laying hens, their efficient intake of feed and its components, adaptation to housing conditions and resistance to infectious diseases including salmonellosis. Previous studies were focussed on relationships of chicken performance and resistance with the expression profiles of individual genes involved in metabolic processes and immune system, or with genetic markers that can be closely associated with these processes in chickens. In this study, mathematical models of coherent changes in laying hens were developed for the expression of eight genes involved in immunity and metabolism, on the one hand, and biochemical and immunological blood parameters, on the other hand, in response to Salmonella infection and administration of a phytobiotic Intebio. The proposed modelling approach can be a further basis for an in-depth research of the relationship between the gene expression, functional state and welfare of poultry, impact of pathogenic microorganisms and use of immunomodulatory drugs

[Mathematical assessment of BAC-based interspecies hybridization data in the process of genomic mapping in the white-throated sparrow as an avian behavioral model] Математическая оценка данных межвидовой БАК-гибридизации в процессе геномного картирования у белошейной зонотрихии как модели поведения птиц

The white-throated sparrow (Zonotrichia albicollis) known for its morphological, behavioral and chromosomal polymorphisms represents a quite new model system to study genomic mechanisms underlying variable behavioral repertoire interwoven with population biology, reproduction and adaptation in this species. It was previously shown that these polymorphisms could be due to chromosomal rearrangements (inversions) on sparrow chromosome 2 (ZAL2) that is characterized by a heterogeneity in two distinct morphs, tan (ZAL2/ZAL2) and white (ZAL2/ZAL2m). To construct a comparative genomic map of ZAL2 and other chromosomes, we used a sparrow genomic BAC library, CHORI-264. Following a cross-species overgo hybridization approach, we screened the library and developed a first-generation BAC-based comparative physical map using the chicken and zebra finch reference genomes. The map includes 640 BAC-gene assignments for 77 loci and serves for further refining the genomic regions and identifying candidate genes that are affected by rearrangements and contribute to the observed behavioral polymorphisms. Mathematical assessment of the BAC-based hybridization data was undertaken to show evolutionary relationships of avian genomes. В настоящей работе представлена математическая оценка межвидовой БАК-гибридизации в процессе геномного картирования у белошейной зонотрихии – вида воробьев, рассматриваемого в качестве удобной модели поведения птиц

Effects of essential oils-based supplement and Salmonella infection on gene expression, blood parameters, cecal microbiome and egg production in laying hens

Simple Summary Salmonellosis is one of the most severe zoonotic diseases transmitted to humans through animal products (especially poultry meat and eggs). Essential oils (EOs)-based feed additives in poultry nutrition are a possible alternative replacement of antimicrobials to fight this infection. In the present study on laying hens, we tested a phytobiotic, Intebio®, and elucidated formation of immune response and changes in cecal microbiocenosis and biochemical/immunological variables in blood caused by Salmonella. Changes in differential gene expression were observed at both one and seven days post-inoculation in the hens’ intestines, revealing similarities with known mammalian/human tissue-specific expression. The results of this study suggest that the challenge of birds with Salmonella had a negative effect, while phytobiotic intake had a positive effect on the status of their gastrointestinal microbiome, their level of metabolism, and their performance. Abstract One of the main roles in poultry resistance to infections caused by Salmonella is attributed to host immunity and intestinal microbiota. We conducted an experiment that involved challenging Lohmann White laying hens with Salmonella Enteritidis (SE), feeding them a diet supplemented with an EOs-based phytobiotic Intebio®. At 1 and 7 days post-inoculation, the expression profiles of eight genes related to immunity, transport of nutrients in the intestine, and metabolism were examined. Cecal microbiome composition and blood biochemical/immunological indices were also explored and egg production traits recorded. As a result, the SE challenge of laying hens and Intebio® administration had either a suppressive or activating effect on the expression level of the studied genes (e.g., IL6 and BPIFB3), the latter echoing mammalian/human tissue-specific expression. There were also effects of the pathogen challenge and phytobiotic intake on the cecal microbiome profiles and blood biochemical/immunological parameters, including those reflecting the activity of the birds’ immune systems (e.g., serum bactericidal activity, β-lysine content, and immunoglobulin levels). Significant differences between control and experimental subgroups in egg performance traits (i.e., egg weight/number/mass) were also found. The phytobiotic administration suggested a positive effect on the welfare and productivity of poultry

Kredi Kartı Kullanım İstatistiklerinin Gri Tahmin ve Genetik Algoritma Tabanlı Gri Tahmin Metodu İle Tahmini: Karşılaştırmalı Analiz

Bu çalışmada Gri Tahmin GM(1,1) ve Genetik Algoritma tabanlı Gri Tahmin GA-GM(1,1) yöntemleri karşılaştırılmıştır. Bu amaçla 2009/1-2014/2 dönemleri arasında yerel kredi kartlarının kullanımına ait sekiz farklı veri seti ele alınarak her iki yöntem için de modeller kurulmuştur. Modeller, elde edilen MAPE istatistiği değerleri kullanılarak karşılaştırılmıştır. Ayrıca her iki model için de 2014/3 dönemi tahmin edilmiştir. Sonuç olarak, farklı veri setlerine ait kurulan tüm modellerde GA-GM(1,1) yönteminin daha düşük hata ile tahmin yaptığı belirlenmiştir

An ant colony optimization algorithm for load balancing in parallel machines with sequence-dependent setup times

This study introduces the problem of minimizing average relative percentage of imbalance (ARPI) with sequence-dependent setup times in a parallel-machine environment. A mathematical model that minimizes ARPI is proposed. Some heuristics, and two metaheuristics, an ant colony optimization algorithm and a genetic algorithm are developed and tested on various random data. The proposed ant colony optimization method outperforms heuristics and genetic algorithm. On the other hand, heuristics using the cumulative processing time obtain better results than heuristics using setup avoidance and a hybrid rule in assignment. (C) 2010 Elsevier Ltd. All rights reserved