Uticaj agroekoloških uslova i hibridne kombinacije na klijavost semena kukuruza

Germination energy and seed germination of four maize combinations cultivated under different growing conditions were observed. Analysis of hybrid seed of four commercial combinations derived at the Maize Research Institute, Zemun Polje, grown in three locations, were done on the working sample of 4 x 100 seeds under laboratory conditions. The experimental data was processed for the mean and total variability (X and C.V.) for both seed traits and for each test variant. The total average values of germination energy and germination in the period of investigation amounted to 94.5% and 94.8%, respectively. The coefficient of variation for germination energy was 0.67%, while for germination it was 0.39%. In the five-year study, the hybrid combination ZP704 had the highest values of germination energy (95.9%) and total germination (96.3%).Test results indicate that coefficients of variations for both observed traits over years were low, which points out to homogeneity of the material. Significant effects of factors (hybrid and location) and their interaction on observed seed properties were established by the analysis of variance. Gained results indicate that all four hybrids had high level of expression of traits under changeable agroecological conditions, as well as, a great effect of factors (hybrid and location) on germination energy and seed germination.U ovim istraživanja proučavane su energija klijanja i klijavost semena kukuruza četiri genotipske kombinacije u različitim agroekološkim uslovima uspevanja. Analize hirbidnog semena četiri komercijalne kombinacije Instituta za kukuruz Zemun Polje, proizvedene na tri lokaliteta, urađene su u laboratorijskim uslovima na radnom uzorku 4 x 100 semena. Eksperimentalni podaci obrađeni su na srednju vrednost i ukupnu varijabilnost (X i C.V.) za obe osobine semena i svaku varijantu istraživanja. Ukupna prosečna vrednost energije klijanja u posmatranom periodu bila je 94.5%, a klijavost 94.8%. Koeficijent varijacije za energiju iznosio je 0.67%, a za klijavost 0.39%. Hibridna kombinacija ZP704 u petogodišnjim istraživanjima imala je najviši nivo energije klijanja (95.9%) i ukupne klijavosti (96.3%). Rezultati testova ukazuju da koeficijenti varijacije ispitivanih karakteristika kod obe osobine su mali i ukazuju na homogenost materijala. Dvofaktorijalnom analizom varijanse utvrđen je značajan uticaj faktora (hibrid i lokacija), kao i njihova interakcija na ispitivane osobine semena. Dobijeni rezultati pokazali su da sva četiri hibrida imaju visok nivo ispoljavanja ispitivanih osobina u promenljivim agroekološkim uslovima, kao i visok uticaj faktora ( hibrid i lokalitet) na energiju i klijavost semena

Genotype and soil type influence on morphological characteristics, Yield and oil content of oil-flax

The three-year trial investigated the individual and the mutual interaction among three genotypes of oil-flax (Olin, Zlatko, Ljupko) and subtype of soil (chernozem with signs of gleyzation and chernozem on sandy loess) and their influence on morpho-physiological traits, yield and oil-flax oil content. The tallest stems (70.3 cm) had the Olin variety in agro-ecological conditions of Southern Banat region. Number of capsules per plant and number of grains per capsule was dependent on agroecological conditions in the investigated year. The largest number of capsules (68) per plant had the Zlatko variety, while the highest average grains number in the capsules (8.2) was at the Olin variety. The obtained values of the studied varieties for these two variables were not statistically significant. On average, the highest oil-flax seed yield gave the Ruben variety (1416.3 kg ha-1), which was higher for about 9.45% compared to the Ljupko variety, and 9.65% compared to the Olin variety. The highest oil content was at the Ljupko variety (41.1%). This value was higher by 1.21 rel.% compared to the Zlatko variety (40.6%), and 0.07 rel.% compared to the Olin variety (40.8%). Three-year average grains yield (Starcevo locality) was 1430.6 kg ha-1. The yield increasing at chernozem with signs of gleyzation compared to plants grown on chernozem on sandy loess (Devojacki Bunar locality) was 17%. On the other hand, the oil content in general was higher in this type of soil than on chernozem with signs of gleyzation (41.0% vs. 40.7%)

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy

Background: Machine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis and risk stratification. Risk stratification tools for hypertrophic cardiomyopathy (HCM) exist, but they are based on traditional statistical methods. The aim was to develop a novel machine learning risk stratification tool for the prediction of 5-year risk in HCM. The goal was to determine if its predictive accuracy is higher than the accuracy of the state-of-the-art tools. Method: Data from a total of 2302 patients were used. The data were comprised of demographic characteristics, genetic data, clinical investigations, medications, and disease-related events. Four classification models were applied to model the risk level, and their decisions were explained using the SHAP (SHapley Additive exPlanations) method. Unwanted cardiac events were defined as sustained ventricular tachycardia occurrence (VT), heart failure (HF), ICD activation, sudden cardiac death (SCD), cardiac death, and all-cause death. Results: The proposed machine learning approach outperformed the similar existing risk-stratification models for SCD, cardiac death, and all-cause death risk-stratification: it achieved higher AUC by 17%, 9%, and 1%, respectively. The boosted trees achieved the best performing AUC of 0.82. The resulting model most accurately predicts VT, HF, and ICD with AUCs of 0.90, 0.88, and 0.87, respectively. Conclusions: The proposed risk-stratification model demonstrates high accuracy in predicting events in patients with hypertrophic cardiomyopathy. The use of a machine-learning risk stratification model may improve patient management, clinical practice, and outcomes in general

From Data to Software to Science with the Rubin Observatory LSST

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the nature of dark matter and dark energy. Much of this research will depend on the existence of robust, tested, and scalable algorithms, software, and services. Identifying and developing such tools ahead of time has the potential to significantly accelerate the delivery of early science from LSST. Developing these collaboratively, and making them broadly available, can enable more inclusive and equitable collaboration on LSST science. To facilitate such opportunities, a community workshop entitled "From Data to Software to Science with the Rubin Observatory LSST" was organized by the LSST Interdisciplinary Network for Collaboration and Computing (LINCC) and partners, and held at the Flatiron Institute in New York, March 28-30th 2022. The workshop included over 50 in-person attendees invited from over 300 applications. It identified seven key software areas of need: (i) scalable cross-matching and distributed joining of catalogs, (ii) robust photometric redshift determination, (iii) software for determination of selection functions, (iv) frameworks for scalable time-series analyses, (v) services for image access and reprocessing at scale, (vi) object image access (cutouts) and analysis at scale, and (vii) scalable job execution systems. This white paper summarizes the discussions of this workshop. It considers the motivating science use cases, identified cross-cutting algorithms, software, and services, their high-level technical specifications, and the principles of inclusive collaborations needed to develop them. We provide it as a useful roadmap of needs, as well as to spur action and collaboration between groups and individuals looking to develop reusable software for early LSST science.Comment: White paper from "From Data to Software to Science with the Rubin Observatory LSST" worksho

Mineral composition of selected Salvia species growing wild in the Vojvodina Province

Composition of mineral elements has been investigated in three Salvia species (Lumiaceae) growing wild in the Vojvodina Province (Serbia), as well as in a commercial phytopreparation (tea) of Salvia officinalis L. We determined concentrations of micro- and macroelements in dried plant material in order to evaluate their nutritive and medicinal value and to indicate an easily accessible natural source that could be used as a possible food supplement. The study showed that the plants were well supplied with essential elements. Concentrations of potentially harmful heavy metals (Pb, Cd, Ni, Cr) were below their respective toxic levels. From the nutritive and medicinal aspects, the investigated Salvia species may be considered as a natural source of essential microelements, especially Fe and Cu, with a low capacity for heavy metal accumulation

The influence of silicon substitution on the properties of spherical- and whisker-like biphasic alpha-calcium-phosphate/hydroxyapatite particles

In this work, the influence of the morphology of hydroxyapatite particles on silicon substitution through hydrothermal synthesis performed under the same conditions was investigated. Spherical- and whisker-like hydroxyapatite particles were obtained starting from calcium-nitrate, sodium dihydrogen phosphate, disodium-ethylenediaminetetraacetic acid and urea (used only for the synthesis of whisker-like particles) dissolved in aqueous solutions. Silicon was introduced into the solution using tetraethylorthosilicate. X-ray diffraction, infrared spectroscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy and transmission electron microscopy indicate that silicon doping induce different phase compositions and bioactivity of spherical- and whisker-like hydroxyapatite particles obtained under the same hydrothermal conditions. Silicon-substituted, spherical hydroxyapatites particles showed greater phase transformation to silicon-substituted alpha- calcium-phosphate compared with whiskers-like hydroxyapatite particles synthesized with the same amount of added silicon. Metabolic activity assay performed with SaOs2 osteosarcoma cells showed better biocompatibility of annealed biphasic spherical-like particles compared with annealed whiskerlike particles while dried spherical-like particles induce high cytotoxicity effect

The impact of currently used oral antihyperglycemic drugs on dysfunctional adipose tissue

Obesity is a disease with pandemic frequency, often accompanied by chronic metabolic and organic complications. Type 2 diabetes mellitus (T2DM) is among the most common metabolic complications of obesity. The first step in the treatment of T2DM is medical nutrition therapy combined with moderate physical activity and with advice to patients to reduce their body weight. Pharmacotherapy starts with metformin, and in the case of inadequate therapeutic response, another antihyperglycemic agent should be added. The most clinical experience exists with sulfonylurea agents, but their use is limited due to high incidence of hypoglycemia and increase in body weight. Based on the fact that dysfunction of adipose tissue can lead to the development of chronic degenerative complications, precise use of drugs with a favorable effect on the functionality of adipose tissue represents an imperative of modern T2DM treatment. Antihyperglycemic drugs of choice in obese individuals are those which cause maturation of adipocytes, improvement of secretion of protective adipokines, and redistribution of fat mass from visceral to subcutaneous depots. Oral antihyperglycemic agents that can affect the functionality of adipose tissue are metformin, SGLT-2 inhibitors, DPP-4 inhibitors, and thiazolidinediones

The Association of Cxcl16 A181v Gene Polymorphism with Carotid Atherosclerosis in Patients Subjected to Endaterectomy

79th Congress of the European-Atherosclerosis-Society (EAS), Jun 26-29, 2011, Gothenburg, Swede