24 research outputs found

    АналитичСский расчСт Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСского аксСлСромСтра

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    ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π°Π½Π°Π»Ρ–Ρ‚ΠΈΡ‡Π½ΠΈΠΉ Ρ€ΠΎΠ·Ρ€Π°Ρ…ΡƒΠ½ΠΎΠΊ Ρ€ΡƒΡ…Ρƒ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΎΠ³ΠΎ аксСлСромСтра Ρ‚Π° Π²ΠΏΠ»ΠΈΠ² Π·ΠΎΠ²Π½Ρ–ΡˆΠ½Ρ–Ρ… Π΄Π΅ΡΡ‚Π°Π±Ρ–Π»Ρ–Π·ΡƒΡŽΡ‡ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ–Π², Ρ‚Π°ΠΊΠΈΡ… як ΡƒΠ΄Π°Ρ€ΠΈ Ρ– Π²Ρ–Π±Ρ€Π°Ρ†Ρ–ΠΉΠ½Ρ– навантаТСння.An analytical calculation of motion fiber optic accelerometer and impact of external destabilizing factors, such as impacts and vibration loads.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ аналитичСский расчСт двиТСния Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСского аксСлСромСтра ΠΈ влияниС Π²Π½Π΅ΡˆΠ½ΠΈΡ… Π΄Π΅ΡΡ‚Π°Π±ΠΈΠ»ΠΈΠ·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ ΡƒΠ΄Π°Ρ€Ρ‹ ΠΈ Π²ΠΈΠ±Ρ€Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ

    ΠžΠΏΡ€Π°Ρ†ΡŽΠ²Π°Π½Π½Ρ сигналів Π² ΠΏΡ€Π΅Ρ†ΠΈΠ·Ρ–ΠΉΠ½ΠΎΠΌΡƒ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΌΡƒ аксСлСромСтрі Π· Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΈΠΌ Π΄Π°Π²Π°Ρ‡Π΅ΠΌ

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    The algorithm of processing the signals in precision digital accelerometer with the fiberoptical sensor is brought. Advantages and features of use microcontroller device for processing signals from the fiber-optical sensor are considered.ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ сигналов Π² ΠΏΡ€Π΅Ρ†ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΌ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΌ аксСлСромСтрС с Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСским Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠΎΠΌ. РассмотрСны прСимущСства ΠΈ особСнности использования ΠΌΠΈΠΊΡ€ΠΎΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π»Π΅Ρ€Π½ΠΎΠ³ΠΎ устройства для ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ сигналов Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ°.НавСдСно Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΎΠΏΡ€Π°Ρ†ΡŽΠ²Π°Π½Π½Ρ сигналів Π² ΠΏΡ€Π΅Ρ†ΠΈΠ·Ρ–ΠΉΠ½ΠΎΠΌΡƒ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΌΡƒ аксСлСромСтрі Π· Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΈΠΌ Π΄Π°Π²Π°Ρ‡Π΅ΠΌ. Розглянуті ΠΏΠ΅Ρ€Π΅Π²Π°Π³ΠΈ Ρ‚Π° особливості використання ΠΌΡ–ΠΊΡ€ΠΎΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅Ρ€ΠΎΠ³ΠΎ ΠΏΡ€ΠΈΡΡ‚Ρ€ΠΎΡŽ для ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ сигналів Π²Ρ–Π΄ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΎΠ³ΠΎ Π΄Π°Π²Π°Ρ‡Π°

    Π£Ρ‡Π΅Ρ‚ Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²ΠΎΠΉ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΈ ошибки ΠΈΠ·ΠΌΠ΅Ρ€Π΅Π½ΠΈΠΉ Π² ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½Ρ‹Ρ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСских аксСлСромСтрах

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    Розглянуто Π²ΠΏΠ»ΠΈΠ² ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ–Π², які ΠΌΠΎΠΆΡƒΡ‚ΡŒ ΠΎΠ±ΠΌΠ΅ΠΆΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠ΅Ρ‚Ρ€ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½Ρ– моТливості ΠΏΡ€Π΅Ρ†ΠΈΠ·Ρ–ΠΉΠ½ΠΎΠ³ΠΎ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ аксСлСромСтра Π½Π° основі Ρ–ΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΎΠ³ΠΎ Π΄Π°Π²Π°Ρ‡Π°.Influence of natural factors, which can limit metrological possibilities of the precision digital accelerometer on the basis of pulse fiberoptical sensor unit, is considered.РассмотрСно влияниС СстСствСнных Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… мСтрологичСскиС возмоТности ΠΏΡ€Π΅Ρ†ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ аксСлСромСтра Π½Π° основС ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСского Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ°

    ΠžΠ±Π»Ρ–ΠΊ дСяких обмСТСнь ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²ΠΎΡ— чутливості Ρ– ΠΏΠΎΡ…ΠΈΠ±ΠΊΠΈ Π²ΠΈΠΌΡ–Ρ€ΡŽΠ²Π°Π½ΡŒ Π² Ρ–ΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΈΡ… Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΈΡ… аксСлСромСтрах

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    Influence of natural factors, which can limit metrological possibilities of the precision digital accelerometer on the basis of pulse fiberoptical sensor unit, is considered.РассмотрСно влияниС СстСствСнных Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… мСтрологичСскиС возмоТности ΠΏΡ€Π΅Ρ†ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ аксСлСромСтра Π½Π° основС ΠΈΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСского Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ°.Розглянуто Π²ΠΏΠ»ΠΈΠ² ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ–Π², які ΠΌΠΎΠΆΡƒΡ‚ΡŒ ΠΎΠ±ΠΌΠ΅ΠΆΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠ΅Ρ‚Ρ€ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½Ρ– моТливості ΠΏΡ€Π΅Ρ†ΠΈΠ·Ρ–ΠΉΠ½ΠΎΠ³ΠΎ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ аксСлСромСтра Π½Π° основі Ρ–ΠΌΠΏΡƒΠ»ΡŒΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΎΠ³ΠΎ Π΄Π°Π²Π°Ρ‡Π°

    Аналітичні Ρ€ΠΎΠ·Ρ€Π°Ρ…ΡƒΠ½ΠΊΠΈ Π΄ΠΈΠ½Π°ΠΌΡ–ΠΊΠΈ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΎΠ³ΠΎ аксСлСромСтра

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    An analytical calculation of motion fiber optic accelerometer and impact of external destabilizing factors, such as impacts and vibration loads.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ аналитичСский расчСт двиТСния Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-оптичСского аксСлСромСтра ΠΈ влияниС Π²Π½Π΅ΡˆΠ½ΠΈΡ… Π΄Π΅ΡΡ‚Π°Π±ΠΈΠ»ΠΈΠ·ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ ΡƒΠ΄Π°Ρ€Ρ‹ ΠΈ Π²ΠΈΠ±Ρ€Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π°Π½Π°Π»Ρ–Ρ‚ΠΈΡ‡Π½ΠΈΠΉ Ρ€ΠΎΠ·Ρ€Π°Ρ…ΡƒΠ½ΠΎΠΊ Ρ€ΡƒΡ…Ρƒ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡ‚ΠΈΡ‡Π½ΠΎΠ³ΠΎ аксСлСромСтра Ρ‚Π° Π²ΠΏΠ»ΠΈΠ² Π·ΠΎΠ²Π½Ρ–ΡˆΠ½Ρ–Ρ… Π΄Π΅ΡΡ‚Π°Π±Ρ–Π»Ρ–Π·ΡƒΡŽΡ‡ΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ–Π², Ρ‚Π°ΠΊΠΈΡ… як ΡƒΠ΄Π°Ρ€ΠΈ Ρ– Π²Ρ–Π±Ρ€Π°Ρ†Ρ–ΠΉΠ½Ρ– навантаТСння

    Treatment of ADHD : Drugs, psychological therapies, devices, complementary and alternative methods as well as the trends in clinical trials

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    Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders having a high influence on social interactions. The number of approved treatments and clinical trials for ADHD have increased markedly during the recent decade. This analytical review provides a quantitative overview of the existing pharmacological and non-pharmacological methods of ADHD treatments investigated in clinical trials during 1999-2021. A total of 695 interventional trials were manually assessed from clinicaltrial.gov with the search term "ADHD", and trial data has been used for analysis. A clear majority of the studies investigated non-pharmacological therapies (similar to 80%), including many behavioral options, such as social skills training, sleep and physical activity interventions, meditation and hypnotherapy. Devices, complementary and other alternative methods of ADHD treatment are also gaining attention. The pharmacological group accounts for similar to 20% of all the studies. The most common drug classes include central nervous system stimulants (e.g., methylphenidate hydrochloride, lisdexamfetamine dimesylate, amphetamine sulfate, mixed amphetamine salts, a combination of dexmethylphenidate hydrochloride and serdexmethylphenidate chloride), selective noradrenaline reuptake inhibitors (atomoxetine, viloxazine), and alpha2 adrenergic receptor agonists (guanfacine hydrochloride, clonidine hydrochloride). Several studies investigated antidepressants (e.g., bupropion hydrochloride, vortioxetine), and atypical antipsychotics (e.g., quetiapine, aripiprazole) but these are yet not approved by the FDA for ADHD treatment. We discuss the quantitative trends in clinical trials and provide an overview of the new drug agents and non-pharmacological therapies, drug targets, and novel treatment options

    Transformations and non-degenerate maps

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    Pharmacogenetics and Pain Treatment with a Focus on Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Antidepressants : A Systematic Review

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    Background: This systematic review summarizes the impact of pharmacogenetics on the effect and safety of non-steroidal anti-inflammatory drugs (NSAIDs) and antidepressants when used for pain treatment. Methods: A systematic literature search was performed according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines regarding the human in vivo efficacy and safety of NSAIDs and antidepressants in pain treatment that take pharmacogenetic parameters into consideration. Studies were collected from PubMed, Scopus, and Web of Science up to the cutoff date 18 October 2021. Results: Twenty-five articles out of the 6547 initially detected publications were identified. Relevant medication-gene interactions were noted for drug safety. Interactions important for pain management were detected for (1) ibuprofen/CYP2C9; (2) celecoxib/CYP2C9; (3) piroxicam/CYP2C8, CYP2C9; (4) diclofenac/CYP2C9, UGT2B7, CYP2C8, ABCC2; (5) meloxicam/CYP2C9; (6) aspirin/CYP2C9, SLCO1B1, and CHST2; (7) amitriptyline/CYP2D6 and CYP2C19; (8) imipramine/CYP2C19; (9) nortriptyline/CYP2C19, CYP2D6, ABCB1; and (10) escitalopram/HTR2C, CYP2C19, and CYP1A2. Conclusions: Overall, a lack of well powered human in vivo studies assessing the pharmacogenetics in pain patients treated with NSAIDs or antidepressants is noted. Studies indicate a higher risk for partly severe side effects for the CYP2C9 poor metabolizers and NSAIDs. Further in vivo studies are needed to consolidate the relevant polymorphisms in NSAID safety as well as in the efficacy of NSAIDs and antidepressants in pain management

    The Epigenetics of Migraine

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    Migraine is a complex neurological disorder and a major cause of disability. A wide range of different drug classes such as triptans, antidepressants, anticonvulsants, analgesics, and beta-blockers are used in acute and preventive migraine therapy. Despite a considerable progress in the development of novel and targeted therapeutic interventions during recent years, e.g., drugs that inhibit the calcitonin gene-related peptide (CGRP) pathway, therapy success rates are still unsatisfactory. The diversity of drug classes used in migraine therapy partly reflects the limited perception of migraine pathophysiology. Genetics seems to explain only to a minor extent the susceptibility and pathophysiological aspects of migraine. While the role of genetics in migraine has been extensively studied in the past, the interest in studying the role of gene regulatory mechanisms in migraine pathophysiology is recently evolving. A better understanding of the causes and consequences of migraine-associated epigenetic changes could help to better understand migraine risk, pathogenesis, development, course, diagnosis, and prognosis. Additionally, it could be a promising avenue to discover new therapeutic targets for migraine treatment and monitoring. In this review, we summarize the state of the art regarding epigenetic findings in relation to migraine pathogenesis and potential therapeutic targets, with a focus on DNA methylation, histone acetylation, and microRNA-dependent regulation. Several genes and their methylation patterns such as CALCA (migraine symptoms and age of migraine onset), RAMP1, NPTX2, and SH2D5 (migraine chronification) and microRNA molecules such as miR-34a-5p and miR-382-5p (treatment response) seem especially worthy of further study regarding their role in migraine pathogenesis, course, and therapy. Additionally, changes in genes including COMT, GIT2, ZNF234, and SOCS1 have been linked to migraine progression to medication overuse headache (MOH), and several microRNA molecules such as let-7a-5p, let-7b-5p, let-7f-5p, miR-155, miR-126, let-7g, hsa-miR-34a-5p, hsa-miR-375, miR-181a, let-7b, miR-22, and miR-155-5p have been implicated with migraine pathophysiology. Epigenetic changes could be a potential tool for a better understanding of migraine pathophysiology and the identification of new therapeutic possibilities. However, further studies with larger sample sizes are needed to verify these early findings and to be able to establish epigenetic targets as disease predictors or therapeutic targets
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