5 research outputs found
KOLEKTIVNO STANOVANJE U URBANISTIČKOM PLANIRANJU JAGODINE, SRBIJA
An extensive collective habitation in Jagodina started in the middle of 1950s by planned construction of settlements ‘Pivara’ and ‘Kablovi’ by architect Dragiša Brašovan. Along with the further demographic and economic development of Jagodina, construction of numerous settlements of collective buildings on the periphery of the town was continued during the first fifteen years of the 21st century when the settlements were built, mostly contrary to the provisions of valid planning documents.An urban development of Jagodina was regulated by general urban plans from 1956, 1976 and 2015.Planning documents were not being carried out completely, and a legalization of unplanned residential and other construction represented a reason for changes in existing planning documents. Since 2000 the residential and another construction has been realized by individual decisions of local government, and a good base for complex treatment of urban town development was not made by GUP 2015.According to GUP 2015, five residential zones cover the largest part of central building area. According to architectural-urban values, settlements ‘Pivara’ and ‘Kablovi’ are particularly noteworthy, followed by settlements ‘Kajsijar’, ‘Strelište’, ‘Sarina međa’ and other ones.Obimnije kolektivno stanovanje u Jagodini počinje sredinom 50-tih godina prošlog veka planskom izgradnjom naselja "Pivara" i "Kablovi", arhitekte Dragiše Brašovana. Sa daljim demografskim i privrednim razvojem Jagodine nastavlja se sa izgradnjom više naselja kolektivnih zgrada na perifernim delovima grada sve do petnaestih godina XXI veka kada nastaju naselja pretežno mimo odredbi važećih planskih dokumenata.Urbani razvoj Jagodine planski je regulisan generalnim urbanističkim planovima iz 1956., 1976. i 2015. godine. Planska dokumenta nisu kompletno sprovođena, a legalizacija neplanske stambene i druge izgradnje predstavljala je povod za izmene postojećih planskih dokumenata. Od 2000. godine stambena i ostala izgradnja realizuje se po pojedinačnim odlukama lokalne samouprave, a GUP-om iz 2015. godine nije stvorena kvalitetna osnova za kompleksni tretman urbanog razvoja grada.Pet stambenih zona po GUP-u iz 2015. zahvataju najveći deo centralnog građevinskog područja Po arhitektonsko-urbanstičkim vrednostima posebno se ističu naselja "Pivara" i "Kablovi", a zatim naselja "Kajsijar", "Strelište", "Sarina međa" i druga
GPAD: a natural language processing-based application to extract the gene-disease association discovery information from OMIM
Abstract Background Thousands of genes have been associated with different Mendelian conditions. One of the valuable sources to track these gene-disease associations (GDAs) is the Online Mendelian Inheritance in Man (OMIM) database. However, most of the information in OMIM is textual, and heterogeneous (e.g. summarized by different experts), which complicates automated reading and understanding of the data. Here, we used Natural Language Processing (NLP) to make a tool (Gene-Phenotype Association Discovery (GPAD)) that could syntactically process OMIM text and extract the data of interest. Results GPAD applies a series of language-based techniques to the text obtained from OMIM API to extract GDA discovery-related information. GPAD can inform when a particular gene was associated with a specific phenotype, as well as the type of validation—whether through model organisms or cohort-based patient-matching approaches—for such an association. GPAD extracted data was validated with published reports and was compared with large language model. Utilizing GPAD's extracted data, we analysed trends in GDA discoveries, noting a significant increase in their rate after the introduction of exome sequencing, rising from an average of about 150–250 discoveries each year. Contrary to hopes of resolving most GDAs for Mendelian disorders by now, our data indicate a substantial decline in discovery rates over the past five years (2017–2022). This decline appears to be linked to the increasing necessity for larger cohorts to substantiate GDAs. The rising use of zebrafish and Drosophila as model organisms in providing evidential support for GDAs is also observed. Conclusions GPAD’s real-time analyzing capacity offers an up-to-date view of GDA discovery and could help in planning and managing the research strategies. In future, this solution can be extended or modified to capture other information in OMIM and scientific literature
Short-Term Fish Oil Treatment Changes the Composition of Phospholipids While Not Affecting the Expression of Mfsd2a Omega-3 Transporter in the Brain and Liver of the 5xFAD Mouse Model of Alzheimer’s Disease
Long-term fish oil (FO) supplementation is able to improve Alzheimer’s disease (AD) pathology. We aimed to determine the impact of short-term fish oil (FO) intake on phospholipids composition and plaque pathology in 5xFAD mice, a widely used animal model of AD. A 3-week-long FO supplementation administered at 3 months of age decreased the number of dense core plaques in the 5xFAD cortex and changed phospholipids in the livers and brains of wild-type (Wt) and 5xFAD mice. Livers of both genotypes responded by increase of n-3 and reciprocal decrease of n-6 fatty acids. In Wt brains, FO supplementation induced elevation of n-3 fatty acids and subsequent enhancement of n-6/n-3 ratio. However, in 5xFAD brains the improved n-6/n-3 ratio was mainly due to FO-induced decrease in arachidonic and adrenic n-6 fatty acids. Also, brain and liver abundance of n-3 fatty acids were strongly correlated in Wts, oppositely to 5xFADs where significant brain-liver correlation exists only for n-6 fatty acids. Expression of omega-3 transporter Mfs2a remained unchanged after FO supplementation. We have demonstrated that even a short-term FO intake improves the phospholipid composition and has a significant effect on plaque burden in 5xFAD brains when applied in early stages of AD pathology
Additional file 1 of GPAD: a natural language processing-based application to extract the gene-disease association discovery information from OMIM
Additional file 1. Additional tables and figures for filtration criteria and dependency pattern design