bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive assessment of varieties of garden roses in the conditions of the Udmurt Republic
Authors: Ardasheva O A , Cheremnykh E N , Lekontseva T G , Zorin D A 
Published: March 2023

Abstract
The article presents the results of the introduction study of varieties of garden roses in the central part of the Udmurt Republic. A comprehensive assessment of varieties of garden roses was carried out on the collection plot of roses of the Department of Introduction and Acclimatization of Plants of the Udmurt Federal Research Center of the Ural Branch of the Russian Academy of Sciences, founded in 2018 from 26 varieties of different garden groups (climbing, hybrid tea, scrubs, floribunda, Musk rose hybrids) . In the Udmurt Republic, at present, the assortment of roses for flower decoration of settlements is very scarce and is mainly represented by obsolete varieties, which is also an important aspect in the relevance of these studies. The varieties studied by us were grown in compliance with generally accepted agrotechnical measures. Phenomenological observations were carried out, taking into account the winter hardiness of varieties, taking into account susceptibility to diseases and pests, as well as an analysis of decorative features, which were evaluated on a 100-point scale. The assessment of winter hardiness of varieties was carried out in the spring, in the phase of mass bud break. Summary indicators of characteristics for these traits were used to determine the group of prospects. A comprehensive assessment of varieties of garden roses has identified promising varieties for industrial floriculture (Patte da Velours, Reine Sammut, Leonardo da Vinci, Trende Babylon Eyes, Fancy Babylon Eyes), recommended for landscaping in the conditions of the Udmurt Republic. These varieties are characterized by high decorative qualities, abundant and long flowering, high winter hardiness, relatively low susceptibility to diseases and pests. A promising group of rose varieties can be recommended for private horticulture, as well as using these varieties in urban landscaping using a high level of agricultural technology and special structures for shelter in the winter.
Levels of physiological activity of antioxidant enzymes in potatoes (S. tuberosum L.) when infected PVS virus
Authors: Kirgizova I V , Kalashnikova E A , Turpanova R M , Gadzhimuradova A M , Silaev D V 
Published: March 2023

Abstract
This article presents the results of changes in the activity of potato antioxidant enzymes during infection with the PVS virus. As a result of the research, it was found that the formation of callus to obtain microclones is more efficient when using leaf explants, compared with stem explants in all studied varieties. The article presents that varieties with different susceptibility have different enzymatic activity, which can serve as a marker trait when ranking potatoes in breeding. Interestingly, in potato microclones, the activity of POX, CAT and SOD upon infection was significantly higher compared to the control. At the same time, the greatest differences in the physiological response were noted in the activity of POX in a microclone obtained from a potato variety resistant to viruses, and, on the contrary, a decrease in activity was noted in a microclone from a susceptible variety. However, microclones of the susceptible variety showed higher CAT activity than other genotypes. The highest SOD activity was noted in microclones of resistant potato varieties compared to other genotypes. Our data show that the virus can cause changes in the spectrum of antioxidant enzymes, which was characterized by the appearance of additional isoforms in microclones of Khozyayushka and Alena cultivars, which indicated the formation of more stable protection in these accessions.
System of Criteria and Standards for Renovation Felling in the North-Taiga Forest Region of the European Part of the Russian Federation
Authors: Surina E A , Minin N S , Makarov S S 
Published: March 2023

Abstract
The main goal was to test a set of silvicultural measures that would ensure the natural regeneration of larch in areas of mature and overmature plantations with a different proportion of larch in the composition. The objects were laid in the 121st quarter of the Yemtsovsky educational and experimental forestry of the Northern Arctic Federal University (NArFU) in the Arkhangelsk region, in overmature plantations of the green moss group of forest types, the share of larch in which is from 2 to 5 units in the composition. The predominant forest types were pine forests, blueberry larch forests. The average age of larch is more than 160 years; the undergrowth of this species under the canopy was completely absent. Spruce predominates in the undergrowth, its quantity varies from 2.0 to 4.0 thousand pieces/ha. Renewal of mature and overmature plantations was successful due to spruce and pine undergrowth, but there was a settlement on all strips and deciduous species. On all lanes, the birch already has a height of 2-2.5 meters and is a strong competitor in the growth of spruce and pine, which can completely nullify the further productive development and growth of coniferous undergrowth, and especially larch. It is required to carry out care in young stands in order to form the desired target composition of conifers and the optimal density of the future young plantation. The results can be taken into account when developing a strategy for forest management and forest management, making management decisions, planning and designing activities. The obtained results of the research are the scientific basis for improving the structure of the forests of the European North, increasing their productivity, biospheric role and profitability of the forest sector of the economy.
Analysis of soybean varieties maturation using multispectral data
Authors: Polukhin A A , Kurbanov R K , Tsench Yu S , Zakharova N I , Litvinov M A 
Published: March 2023

AbstractAerial photography using unmanned aerial vehicles and a multispectral camera is used to monitor the condition of soybean crops, predict their development and phenotyping. This research focused on evaluation of soybean varieties in the initial ripening period using multispectral data from an unmanned aerial vehicle. The quadrocopter Matrice 200 v2 and the MicaSense Altum multispectral camera were used to collect multispectral data. The article analyzes ten soybean varieties according to five vegetation indices (NDVI, NDRE, ClGreen, GNDVI, MCARI) and five spectral channels with wavelengths from 475 nm to 842 nm. Using the Student’s t-test, significant differences between soybean varieties and the standard soybean variety for the Orel region were revealed. Recommendations have been formed for the assessment of soybean varieties by the maturation rate using multispectral aerial photography: it is recommended to use the vegetation index GNDVI, as well as a spectral channel with a wavelength of 475 nm.
Possibilities of using official data in spatio-temporal modeling of main electrical networks
Authors: Karpachevsky A M , Titov G S 
Published: March 2023

Abstract
The article investigates the accuracy of spatio-temporal modeling of main electrical networks based on open data published in schemes and programs for the development of regions. As a rule, these documents give the date of commissioning / reconstruction of the entire line, which it is at a given point in time, however, in reality, modern lines consist in most cases of a set of segments from different years of construction. Failure to take into account the segmentation of the network leads to errors in the attribution of temporal data, which in turn can lead to errors in planning the development of the network. The paper compares the data of non-segmented and segmented networks and illustrates the distribution of the error in dating.
Automated information processing systems in environmental monitoring
Authors: Bulekova A A , Sungatkyzy S , Akkereeva E K , Sharafieva Zh R , Nurtaeva M 
Published: March 2023

Abstract
The article shows examples of using the algorithm for calculating emissions into the atmosphere during production activities in the process of laboratory tests for designing maximum allowable emissions and assessing the impact of possible activities on the environment. The calculation algorithm is based on the use of the ERA PC software package in the laboratory process, designed to calculate pollutants in all components of the environment. This software package allows you to make calculations for many parameters automatically, which simplifies the work of environmental designers. The use of this software package can be used in the training of specialists in the field of environmental monitoring.
Methods of growing high grain yields in Northern Kazakhstan during the years of virgin lands development (the case of the Zarechny state farm)
Authors: Mazhitova Zh S , Khassenova Zh O , Alimbaev T A , Utebayeva A D 
Published: March 2023

Abstract
This article examines the development of virgin and fallow lands in Kazakhstan in the 1950s. Since the climate in the Kazakh steppes was sharply continental, arid, and the soils unsuitable for farming, the cultivation of grain crops was associated with huge risks and difficulties. Everywhere in those years a great number of state farms were established in Kazakhstan, which had to develop not only vast areas in extraordinary conditions and terms, but also apply innovative for that time and for that area methods of cultivation of high yields of grain crops. Analysis of the materials showed that, despite the difficult natural and climatic conditions, lack of agricultural machinery and labour, the virgin lands cultivators harvested high yields by applying the method of layer-by-layer tillage. The authors concluded that in the course of land use state farm specialists tried to maintain the quality characteristics of the soil.
A rational way of sorting municipal solid waste
Authors: Lemeshko M A , Bashnyak S E , Karelin A E , Stuzhenko N I , Bondareva A S 
Published: March 2023

Abstract
The article provides a brief overview of the most popular and promising methods of sorting municipal solid waste, attention is paid to automated systems for recognizing garbage objects during sorting, and in particular, their high cost with relatively low efficiency. The problem of using high-cost systems for recognizing waste objects by the payback factor with a low content of useful components in the total mass of garbage has been identified. A method of an automated garbage sorting system is proposed and described, in which a person is used as a system for recognizing garbage objects. This method significantly reduces the cost of electron-optical and tactile detectors that recognize garbage objects, while not requiring a huge database to compare 3-d images. At the same time, the recognition accuracy increases significantly, and the cost of the process of recognizing garbage objects on the conveyor is significantly reduced, which in general ensures a quick payback of the garbage sorting system. It is proposed that such a system be used as an intermediate stage in the improvement of image recognition systems for sorting garbage objects.. The approach of using the human ability to recognize as a more economical method to recognize waste objects when sorting them in robotic systems is proposed. At the same time, comfortable working conditions are provided for a person, a sorter operator, who recognizes and encodes each sorting object remotely from garbage using video cameras and a high-resolution monitor. A variant of such a sorting system using mechanotronics is described.
Comparative characteristics of spectrophotometric methods for determining the in vitro antioxidant activity of plant extracts
Authors: Popov A D , Chupakhina N U , Skrypnik L N , Larina V V , Babich O O 
Published: March 2023

Abstract
The article discusses the possibilities of comparing the results of determining the total antioxidant activity (AOA) using three spectrophotometric methods: DPPH, ABTS, and FRAP. The obtained values were compared and revealed a high correlation for all pairs of comparisons as well as a close precision of the AOA content in plant extracts, regardless of the extractant or method of determination. The reliable AOA content in the regional flora was determined and varied in a very wide range from 1.44±0.12 to 1094.02±14.53 µmol TE/g DW plant material, with methanol extracts having the highest AOA concentration. Among 14 species of medicinal and protected plants of the Kaliningrad region, Alnus glutinosa L., Filipendula ulmaria L. и Calluna vulgaris L., а наименьшей Valeriana officinalis L. и Sedum acre L. had the highest AOA.
Controlled expansion of shell-shaped Bose–Einstein condensates
Authors: Boegel Patrick , Wolf Alexander , Meister Matthias , Efremov Maxim A 
Published: March 2023

Abstract
Motivated by the recent experimental realization of ultracold quantum gases in shell topology, we propose a straightforward implementation of matter-wave lensing techniques for shell-shaped Bose–Einstein condensates. This approach allows to significantly extend the free evolution time of the condensate shell after release from the trap and enables the study of novel quantum many-body effects on curved geometries. With both analytical and numerical methods we derive optimal parameters for realistic schemes to conserve the shell shape of the condensate for times up to hundreds of milliseconds.
Brain dysconnectivity with heart failure
Authors: Mueller Karsten , Thiel Friederike , Taskin Birol , Beutner Frank , Teren Andrej , Dubovoy Vladimir K , Möller Harald E , Villringer Arno , Schroeter Matthias L 
Published: March 2023

Abstract
Structural brain damage associated with heart failure is well described; however, little is known about associated changes in various specific brain functions that bear immediate clinical relevance. A satisfactory pathophysiological link between heart failure and decline in cognitive function is still missing. In the present study, we aim to detect functional correlates of heart failure in terms of alterations in functional brain connectivity (quantified by functional magnetic resonance imaging) related to cognitive performance assessed by neuropsychological testing. Eighty patients were post hoc grouped into subjects with and without coronary artery disease. The coronary artery disease patients were further grouped as presenting with or without heart failure according to the guidelines of the European Society of Cardiology. On the basis of resting-state functional magnetic resonance imaging, brain connectivity was investigated using network centrality as well as seed-based correlation. Statistical analysis aimed at specifying centrality group differences and potential correlations between centrality and heart failure-related measures including left ventricular ejection fraction and serum concentrations of N-terminal fragment of the pro-hormone brain-type natriuretic peptide. The resulting correlation maps were then analysed using a flexible factorial model with the factors ‘heart failure’ and ‘cognitive performance’. Our core findings are: (i) A statistically significant network centrality decrease was found to be associated with heart failure primarily in the precuneus, i.e. we show a positive correlation between centrality and left ventricular ejection fraction as well as a negative correlation between centrality and N-terminal fragment of the pro-hormone brain-type natriuretic peptide. (ii) Seed-based correlation analysis showed a significant interaction between heart failure and cognitive performance related to a significant decrease of precuneus connectivity to other brain regions. We obtained these results by different analysis approaches indicating the robustness of the findings we report here. Our results suggest that the precuneus is a brain region involved in connectivity decline in patients with heart failure, possibly primarily or already at an early stage. Current models of Alzheimer’s disease—having pathophysiological risk factors in common with cerebrovascular disorders—also consider reduced precuneus connectivity as a marker of brain degeneration. Consequently, we propose that heart failure and Alzheimer’s disease exhibit partly overlapping pathophysiological paths or have common endpoints associated with a more or less severe decrease in brain connectivity. This is further supported by specific functional connectivity alterations between the precuneus and widely distributed cortical regions, particularly in patients showing reduced cognitive performance.
Impact of binary blends of biodiesels on fuel quality, engine performance and emission characteristics
Authors: Gupta Sandeep , Sharma Mahendra Pal 
Published: March 2023

AbstractThe incessant pressure of energy requirements by the growing global populace has led to the exploration of unconventional methods to produce renewable and sustainable fuels. Among these, biodiesel is most suited to the present needs of eco-friendly standards to keep the atmosphere free from residual emissions. Various fuel-modification methods were developed over a couple of decades to make biodiesel suitable for diesel engines. In the present research, Jatropha curcas biodiesel and waste-cooking-oil (WCO) biodiesel were used to craft a unique binary blend to obtain desirable fuel properties and operational suitability for the diesel engine. The blend with 80% WCO biodiesel and 20% J. curcas biodiesel, which had the most suitable fuel properties, was tested on a four-stroke single-cylinder vertical diesel engine. The emissions and operational parameters were analysed and compared with diesel. The results of the study indicated that engine emissions for binary blend, carbon monoxide and unburnt hydrocarbon emissions were highly reduced, and carbon dioxide and nitrogen oxide (NOx) emissions increased relative to diesel. At full load, NOx emission was found to be 51.32% higher than that from diesel and 3.8% lower than that from WCO biodiesel. Engine performance showed that for the binary blend, at full load, the brake-specific fuel consumption was 396.82 g/kWh, which was 15.26% higher, and the brake thermal efficiency was 22.7%, which was 2.74% lower than regular diesel fuel. The present study suggests that the binary blend of J. curcas biodiesel and WCO biodiesel can be a promising approach towards advancements in the fuel properties of biodiesels.
Impact of C-reactive protein levels on lipoprotein(a)-associated aortic stenosis incidence and progression
Authors: Girard Arnaud , Gaillard Emilie , Puri Rishi , Capoulade Romain , Chan Kwan L , Paulin Audrey , Manikpurage Hasanga D , Dumesnil Jean , Tam James W , Teo Koon K , Couture Christian , Wareham Nicholas J , Clavel Marie-Annick , Stroes Erik S G , Mathieu Patrick , Thériault Sébastien , Tsimikas Sotirios , Pibarot Philippe , Boekholdt S Matthijs , Arsenault Benoit J 
Published: March 2023

AbstractAimsElevated lipoprotein(a) [Lp(a)] levels are associated with the risk of coronary artery disease (CAD) and calcific aortic valve stenosis (CAVS). Observational studies revealed that Lp(a) and C-reactive protein (CRP) levels, a biomarker of systemic inflammation, may jointly predict CAD risk. Whether Lp(a) and CRP levels also jointly predict CAVS incidence and progression is unknown.Methods and resultsWe investigated the association of Lp(a) with CAVS according to CRP levels in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk study (n = 18 226, 406 incident cases) and the UK Biobank (n = 438 260, 4582 incident cases), as well as in the ASTRONOMER study (n = 220), which assessed the haemodynamic progression rate of pre-existing mild-to-moderate aortic stenosis. In EPIC-Norfolk, in comparison to individuals with low Lp(a) levels (&lt;50 mg/dL) and low CRP levels (&lt;2.0 mg/L), those with elevated Lp(a) (&gt;50 mg/dL) and low CRP levels (&lt;2.0 mg/L) and those with elevated Lp(a) (&gt;50 mg/dL) and elevated CRP levels (&gt;2.0 mg/L) had a higher CAVS risk [hazard ratio (HR) = 1.86 (95% confidence intervals, 1.30–2.67) and 2.08 (1.44–2.99), respectively]. A comparable predictive value of Lp(a) in patients with vs. without elevated CRP levels was also noted in the UK Biobank. In ASTRONOMER, CAVS progression was comparable in patients with elevated Lp(a) levels with or without elevated CRP levels.ConclusionLp(a) predicts the incidence and possibly progression of CAVS regardless of plasma CRP levels. Lowering Lp(a) levels may warrant further investigation in the prevention and treatment of CAVS, regardless of systemic inflammation.
Use of Artificial Intelligence for Digital Breast Tomosynthesis Screening: A Preliminary Real-world Experience
Authors: Letter Haley , Peratikos Meridith , Toledano Alicia , Hoffmeister Jeffrey , Nishikawa Robert , Conant Emily , Shisler Julie , Maimone Santo , Diaz de Villegas Hector 
Published: March 2023

Abstract

Objective
The purpose of this study is to assess the “real-world” impact of an artificial intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) screening exams following 12 months of utilization in a subspecialized academic breast center.

Methods
Following IRB approval, mammography audit reports, as specified in the BI-RADS atlas, were retrospectively generated for five radiologists reading at three locations during a 12-month time frame. One location had the AI tool (iCAD ProFound AI v2.0), and the other two locations did not. The co-primary endpoints were cancer detection rate (CDR) and abnormal interpretation rate (AIR). Secondary endpoints included positive predictive values (PPVs) for cancer among screenings with abnormal interpretations (PPV1) and for biopsies performed (PPV3). Odds ratios (OR) with two-sided 95% confidence intervals (CIs) summarized the impact of AI across radiologists using generalized estimating equations.

Results
Nonsignificant differences were observed in CDR, AIR, and PPVs. The CDR was 7.3 with AI and 5.9 without AI (OR 1.3, 95% CI: 0.9–1.7). The AIR was 11.7% with AI and 11.8% without AI (OR 1.0, 95% CI: 0.8–1.3). The PPV1 was 6.2% with AI and 5.0% without AI (OR 1.3, 95% CI: 0.97–1.7). The PPV3 was 33.3% with AI and 32.0% without AI (OR 1.1, 95% CI: 0.8–1.5).

Conclusion
Although we are unable to show statistically significant changes in CDR and AIR outcomes in the two groups, the results are consistent with prior reader studies. There is a nonsignificant trend toward improvement in CDR with AI, without significant increases in AIR.