127 research outputs found

    Augmented Reality and its Integration into our Lives

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    Augmented reality is a technology that allows for virtual objects to be placed in the real world in real-time, enhancing our information about the world around us. Augmented reality glasses are worn in the same way as virtual reality glasses so that they enable the wearer to interact with these images as part of the overall experience

    Tunable local polariton modes in semiconductors

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    We study the local states within the polariton bandgap that arise due to deep defect centers with strong electron-phonon coupling. Electron transitions involving deep levels may result in alteration of local elastic constants. In this case, substantial reversible transformations of the impurity polariton density of states occur, which include the appearance/disappearance of the polariton impurity band, its shift and/or the modification of its shape. These changes can be induced by thermo- and photo-excitation of the localized electron states or by trapping of injected charge carriers. We develop a simple model, which is applied to the OPO_P center in GaPGaP. Further possible experimental realizations of the effect are discussed.Comment: 7 pages, 3 figure

    Neoseiulus agrestis as a biological agent, and monitoring of introducted thrips in greenhouses

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    Oligophagus Neoseiulus agrestis (Karg, 1960) can be used as predator on vegetable, flower and berry crops. It is capable of feeding on Tetranychidae and Tarsonemidae. The ability to regulate the number of Thripidae has been established. It lives in colonies of Acaridae mites. The technology of mass breeding allows to accumulate predator population in a loose substrate. The technology of use for this phytoseiid mite should be adapted to each type of plant taking into account the bioecological features. For a greenhouse cucumber, the release should be made at the trellis part of the plant. On flower crops, for example gloxinia, colonization is carried out by sowing the substrate with a predator on all plants in the greenhouse. It is effective on garden strawberries in the struggle against the strawberry mite Steneotarsonemus pallidus. The predator prefers to attack the nymphal stages and eggs of the Tetranychus urticae mite. It is capable of attacking not only the larvae of Thrips nigropilosus, but also its nymphs. In the garden strawberry leaf rosette, it destroys the strawberry mite, at penetration into the inner part of leaf buttons. It is highly sensitive to pesticides from the class of macrocyclic lactones and synthetic pyrethroids. Preparations based on the bacterium Bacillus thurengiensis on N. agrestis do not have a lethal effect

    Prospects for usage of predatory mite Neoseiulus californicus (MCGREGOR, 1954) (order Mesostigmata: subfamily, Amblyseiinae, family Phytoseiidae)

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    The predatory mite Neoseiulus californicus (MCGREGOR, 1954) is used as a specialized acariphage on vegetable, flower and berry crops. In protected ground, N. californicus is one of the effective carnivores of spider mites (Tetranychidae), the intensity of attacks depends on the temperature. The predator prefers to consume immature individuals of T. uirticae, often ignoring adult female mites. Simultaneously, predaceous organism does not express preferences between eggs and T. urticae nymphs. However, as the density of the spider mite population increases, the predatory mite shifts its diet from the eggs of the victim to larvae and nymphs. Adult females N. californicus exhibit a type 2 functional response to both eggs and T. urticae nymphs. Pyrethroid and avermectin drugs are highly toxic to predator populations. At the same time, there is low acute toxicity to many insecticides (Actara, Envidor, etc.) is exibited

    Genetic landscape in Russian patients with familial left ventricular noncompaction

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    BackgroundLeft ventricular noncompaction (LVNC) cardiomyopathy is a disorder that can be complicated by heart failure, arrhythmias, thromboembolism, and sudden cardiac death. The aim of this study is to clarify the genetic landscape of LVNC in a large cohort of well-phenotyped Russian patients with LVNC, including 48 families (n=214).MethodsAll index patients underwent clinical examination and genetic analysis, as well as family members who agreed to participate in the clinical study and/or in the genetic testing. The genetic testing included next generation sequencing and genetic classification according to ACMG guidelines.ResultsA total of 55 alleles of 54 pathogenic and likely pathogenic variants in 24 genes were identified, with the largest number in the MYH7 and TTN genes. A significant proportion of variants −8 of 54 (14.8%) −have not been described earlier in other populations and may be specific to LVNC patients in Russia. In LVNC patients, the presence of each subsequent variant is associated with increased odds of having more severe LVNC subtypes than isolated LVNC with preserved ejection fraction. The corresponding odds ratio is 2.77 (1.37 −7.37; p <0.001) per variant after adjustment for sex, age, and family.ConclusionOverall, the genetic analysis of LVNC patients, accompanied by cardiomyopathy-related family history analysis, resulted in a high diagnostic yield of 89.6%. These results suggest that genetic screening should be applied to the diagnosis and prognosis of LVNC patients

    Real-world experience with netakimab in the treatment of spondyloarthritis

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    Aim. To study the real-world efficacy and safety of netakimab in the treatment of ankylosing spondylitis (AS) and psoriatic arthritis (PsA). Materials and methods. The retrospective analysis included 23 patients (13 males; 56.5%) aged 23 to 73 years (median 42, interquartile range 28 to 52 years) with AS (n=12) or PsA (n=11) who received netakimab therapy from February 2021 to April 2023. Disease activity was assessed every 3-6 months based on the C-reactive protein (CRP) level for all patients according to the BASDAI and ASDAS-CRP indices for AS, DAPSA and PASI for PsA. These indicators were analyzed before therapy and at the last visit to assess the effectiveness of treatment. The results are presented as median (interquartile range). Results. In all patients treated with netakimab (median duration of treatment 11 months), the CRP level decreased from 10.6 (3.1; 17.3) to 3.1 (1.9; 8.9) mg/L (absolute difference -7.5 mg/L, median relative reduction -60%; p=0.008), and the proportion of patients with elevated CRP decreased from 70 to 41%; p=0.039. In patients with AS (median duration of treatment 9 months), BASDAI score decreased from 5.8 (4.7; 6.5) to 3.0 (1.9; 3.8) points (absolute difference -2.8 points, median relative reduction of -45%; p=0.008) and ASDAS-CRP score decreased from 2.8 (1.9; 3.9) to 1.9 (1.7; 2.6) points (absolute difference -0.9 points, median relative reduction -21%; p=0.007). The proportion of patients with high AS activity (BASDAI≥4) decreased from 90% to 20% (p=0.031); however, there was no significant change in the CRP level (absolute difference -4.9 mg/L, median relative reduction -57%; p=0.110). In patients with PsA (median duration of treatment 18 months), the CRP level decreased from 12.0 (4.5; 17.3) to 3.3 (2.0; 7.8) mg/L (absolute difference -8.7 mg/L, median relative reduction -80%; p=0.041), the DAPSA score decreased from 23.0 (19.0; 30.5) to 6.3 (5.2; 13.5) points (absolute difference -16.7 points, median relative reduction -69%; p=0.018). Three (13%) patients reported mild to moderate adverse events. Conclusion. The obtained data confirm the effectiveness and safety of netakimab in treating AS and PsA in real-world practice

    Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods

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    IntroductionMinimally invasive diagnostics based on liquid biopsy makes it possible early detection of lung cancer (LC). The blood plasma circulating cell-free DNA (cfDNA) fragments reflect the genome and chromatin status and are considered as integral cancer biomarkers and the biological entities for ‘cancer-of-origin’ prediction. The aim of this work is to create a method for processing next-generation sequencing (NGS) data and an interpretable binary classification model (CM), which analyzed cfDNA fragmentation features for distinguishing healthy subjects and subjects with LC.Methods148 healthy subjects and 138 subjects with LC were included in the study. cfDNA fractions, isolated from blood plasma biospecimens, were used for DNA libraries preparations and NGS on the NovaSeq 6,000 Illumina system with a coverage of 100 million reads/sample. Twelve variables, describing the abundance and length distribution of cfDNA fragments within each genomic interval, and 40 variables based on the values of position-weight matrices, describing combinations of 5-bp-long terminal motifs of cfDNA fragments, were used to characterize genomic fragmentation. Classification models of the first phase of machine learning were based either on logistic regression with L1- and L2-regularization or were probabilistic CMs based on Gaussian processes. The second phase CM was based on kernel logistic regression.ResultsThe final CM can distinguish healthy subjects and subjects with LC with AUC values of 0.872–0.875. The performance of developed CM was evaluated using datum and testing sets for each LC stage category. Sensitivity values ranged from 66.7 to 85.7%, from 77.8 to 100%, and from 70 to 80% for LC stages I, II, and III, respectively. Specificity values ranged from 79.3 to 90.0%.DiscussionThus, the CM has a good diagnostic value and does not require clinical or other data on tumor-associated biomarkers. The current method for LC detection has some advantages for future clinical implementation as a decision-making support system due to the performance of the CM requires data exclusively from NGS-analysis of blood plasma cfDNA fragmentation; the accuracy of the CM does not depend on any additional clinical data; the CM is highly interpretable and traceable; CM has appropriate modular architecture

    Association of BMI, lipid-lowering medication, and age with prevalence of type 2 diabetes in adults with heterozygous familial hypercholesterolaemia: a worldwide cross-sectional study

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    Background: Statins are the cornerstone treatment for patients with heterozygous familial hypercholesterolaemia but research suggests it could increase the risk of type 2 diabetes in the general population. A low prevalence of type 2 diabetes was reported in some familial hypercholesterolaemia cohorts, raising the question of whether these patients are protected against type 2 diabetes. Obesity is a well known risk factor for the development of type 2 diabetes. We aimed to investigate the associations of known key determinants of type 2 diabetes with its prevalence in people with heterozygous familial hypercholesterolaemia. Methods: This worldwide cross-sectional study used individual-level data from the EAS FHSC registry and included adults older than 18 years with a clinical or genetic diagnosis of heterozygous familial hypercholesterolaemia who had data available on age, BMI, and diabetes status. Those with known or suspected homozygous familial hypercholesterolaemia and type 1 diabetes were excluded. The main outcome was prevalence of type 2 diabetes overall and by WHO region, and in relation to obesity (BMI ≥30·0 kg/m2) and lipid-lowering medication as predictors. The study population was divided into 12 risk categories based on age (tertiles), obesity, and receiving statins, and the risk of type 2 diabetes was investigated using logistic regression. Findings: Among 46 683 adults with individual-level data in the FHSC registry, 24 784 with heterozygous familial hypercholesterolaemia were included in the analysis from 44 countries. 19 818 (80%) had a genetically confirmed diagnosis of heterozygous familial hypercholesterolaemia. Type 2 diabetes prevalence in the total population was 5·7% (1415 of 24 784), with 4·1% (817 of 19 818) in the genetically diagnosed cohort. Higher prevalence of type 2 diabetes was observed in the Eastern Mediterranean (58 [29·9%] of 194), South-East Asia and Western Pacific (214 [12·0%] of 1785), and the Americas (166 [8·5%] of 1955) than in Europe (excluding the Netherlands; 527 [8·0%] of 6579). Advancing age, a higher BMI category (obesity and overweight), and use of lipid-lowering medication were associated with a higher risk of type 2 diabetes, independent of sex and LDL cholesterol. Among the 12 risk categories, the probability of developing type 2 diabetes was higher in people in the highest risk category (aged 55–98 years, with obesity, and receiving statins; OR 74·42 [95% CI 47·04–117·73]) than in those in the lowest risk category (aged 18–38 years, without obesity, and not receiving statins). Those who did not have obesity, even if they were in the upper age tertile and receiving statins, had lower risk of type 2 diabetes (OR 24·42 [15·57–38·31]). The corresponding results in the genetically diagnosed cohort were OR 65·04 (40·67–104·02) for those with obesity in the highest risk category and OR 20·07 (12·73–31·65) for those without obesity. Interpretation: Adults with heterozygous familial hypercholesterolaemia in most WHO regions have a higher type 2 diabetes prevalence than in Europe. Obesity markedly increases the risk of diabetes associated with age and use of statins in these patients. Our results suggest that heterozygous familial hypercholesterolaemia does not protect against type 2 diabetes, hence managing obesity is essential to reduce type 2 diabetes in this patient population. Funding: Pfizer, Amgen, MSD, Sanofi-Aventis, Daiichi-Sankyo, and Regeneron

    The Prevalence of Heterozygous Familial Hypercholesterolemia in Selected Regions of the Russian Federation: The FH-ESSE-RF Study

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    Heterozygous familial hypercholesterolemia (HeFH) is one of the most common genetic conditions but remains substantially underdiagnosed. The aim of our study was to investigate the prevalence of HeFH in the population of 11 different regions of Russia. Individuals were selected from the Epidemiology of Cardiovascular Risk Factors and Diseases in Regions of the Russian Federation Study. All participants who had low-density lipoprotein cholesterol (LDL-C) higher than 4.9 mmol/L, or LDL-C lower than 4.9 mmol/L, but had statin therapy, were additionally examined by FH experts. FH was diagnosed using the Dutch Lipid Clinic Network criteria, incorporating genetic testing. HeFH prevalence was assessed for 18,142 participants. The prevalence of patients with definite or probable HeFH combined was 0.58% (1 in 173). A total of 16.1% of patients with definite or probable HeFH had tendon xanthomas; 36.2% had mutations in one of the three genes; 45.6% of FH patients had coronary artery disease; 63% of HeFH patients received statins; one patient received an additional PCSK9 inhibitor; no patients received ezetimibe. Only 3% of patients reached the LDL-C goal based on 2019 ESC/EAS guidelines. Underdiagnosis and undertreatment of FH in Russia underline the need for the intensification of FH detection with early and aggressive cholesterol-lowering treatment
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