108 research outputs found
ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΈ Π΄Π°Π»ΡΠ½ΠΎΡΡΠΈ Π±ΡΡΡΡΠΎΠ΄Π²ΠΈΠΆΡΡΠΈΡ ΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π² Π ΠΠ‘ Ρ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎ-ΡΠ°ΡΡΠΎΡΠ½ΠΎ-ΠΌΠΎΠ΄ΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π°Π²ΡΠΎΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΡ Π΅ΠΌΡ
Introduction. A hardware basis of modern Advanced Driver Assistance Systems (ADAS) consists of millimeterrange radars, characterized by a relatively short range (meters β tens of meters). At the same time, improving of traffic safety requires to increase the range at least to several hundred meters. The one way to achieve such values is to increase wavelength of a probing signal, to use the centimeter range of wavelengths, for example. The paper represents a detailed description of main steps of signal processing algorithm in the model of the ADAS low-power centimeter range radar, which provides fast-moving objects speed and range definition.Aim. Development of an algorithm for estimating the range and the speed of targets by an autocorrelation radar with a wide-band continuous linear frequency modulation (linear FM) signal in order to increase the rate of the ADAS system estimates formation.Materials and methods. The proposed algorithm is based on the methods of primary and secondary digital processing of radar signals. The model of a centimeter-range autocorrelation radar with a broadband continuous linear FM probing signal was used for practical researches. MATLAB software was used to process the received signal samples.Results. The algorithm has been developed to determine the speed and the range of fast-moving objects in conditions when their movement during the evaluation interval significantly exceeds the radar range resolution. The use of simplified Kalman filtering for inter-period secondary signal processing allowed to increase significantly the stability of the algorithm. In a full-scale experiment using the low-power radar model with continuous radiation of the centimeter range, it was shown that a stable assessment of a real car speed and range was provided at a distance of at least about one kilometer.Conclusion. The results of the field experiment make it possible to draw conclusions that the proposed algorithm is highly robust even in the absence of inter-period secondary processing. Its usage allows one to improve the stability of the algorithm without considerable additional computational costs. It is possible because near-linear dynamics of the observation object and of the radar carrier makes it sufficient to use a simplified implementation of Kalman filter in the form Ξ±-Ξ²-algorithm.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. ΠΠΏΠΏΠ°ΡΠ°ΡΠ½ΡΡ ΠΎΡΠ½ΠΎΠ²Ρ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΏΠΎΠΌΠΎΡΠΈ Π²ΠΎΠ΄ΠΈΡΠ΅Π»Ρ (ADAS) ΠΎΠ±ΡΡΠ½ΠΎ ΡΠΎΡΡΠ°Π²Π»ΡΡΡ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΡΠ°Π½ΡΠΈΠΈ ΠΌΠΈΠ»Π»ΠΈΠΌΠ΅ΡΡΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΠ΅ΡΡ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π½Π΅Π±ΠΎΠ»ΡΡΠΎΠΉ Π΄Π°Π»ΡΠ½ΠΎΡΡΡΡ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ (Π΅Π΄ΠΈΠ½ΠΈΡΡ-Π΄Π΅ΡΡΡΠΊΠΈ ΠΌΠ΅ΡΡΠΎΠ²). Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΡΡΠ΅Π±ΡΠ΅Ρ Π΅Π΅ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΠΊΠ°ΠΊ ΠΌΠΈΠ½ΠΈΠΌΡΠΌ Π΄ΠΎ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠΎΡΠ΅Π½, ΠΈ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΏΡΡΠ΅ΠΉ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ Π΄Π»ΠΈΠ½Ρ Π²ΠΎΠ»Π½Ρ Π·ΠΎΠ½Π΄ΠΈΡΡΡΡΠ΅Π³ΠΎ ΡΠΈΠ³Π½Π°Π»Π°, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄ Π² ΡΠ°Π½ΡΠΈΠΌΠ΅ΡΡΠΎΠ²ΡΠΉ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ Π΄Π»ΠΈΠ½ Π²ΠΎΠ»Π½. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΡΠ°ΠΏΠΎΠ² ΡΠ°Π±ΠΎΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΈΠ³Π½Π°Π»Π° Π² ΠΌΠ°ΠΊΠ΅ΡΠ΅ ΠΌΠ°Π»ΠΎΠΌΠΎΡΠ½ΠΎΠΉ Π ΠΠ‘ ΡΠΈΡΡΠ΅ΠΌΡ ADAS ΡΠ°Π½ΡΠΈΠΌΠ΅ΡΡΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠ΅Π³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΈ Π΄Π°Π»ΡΠ½ΠΎΡΡΠΈ Π±ΡΡΡΡΠΎΠ΄Π²ΠΈΠΆΡΡΠΈΡ
ΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ².Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΎΡΠ΅Π½ΠΊΠΈ Π΄Π°Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π»Π΅ΠΉ Π² Π ΠΠ‘ Ρ ΡΠΈΡΠΎΠΊΠΎΠΏΠΎΠ»ΠΎΡΠ½ΡΠΌ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎ-ΡΠ°ΡΡΠΎΡΠ½ΠΎ-ΠΌΠΎΠ΄ΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ (ΠΠ§Π) ΡΠΈΠ³Π½Π°Π»ΠΎΠΌ Π½Π° Π±Π°Π·Π΅ Π°Π²ΡΠΎΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΡ
Π΅ΠΌΡ Π² ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ°Ρ
ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΡΠΎΡΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ΅Π½ΠΎΠΊ Π΄Π»Ρ ΡΠΈΡΡΠ΅ΠΌΡ ADAS.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π±Π°Π·ΠΈΡΡΠ΅ΡΡΡ Π½Π° ΠΌΠ΅ΡΠΎΠ΄Π°Ρ
ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠΉ ΠΈ Π²ΡΠΎΡΠΈΡΠ½ΠΎΠΉ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ². ΠΠ»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΠΌΠ°ΠΊΠ΅Ρ Π ΠΠ‘ ΡΠ°Π½ΡΠΈΠΌΠ΅ΡΡΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°, ΡΠΎΠ±ΡΠ°Π½Π½ΠΎΠΉ ΠΏΠΎ Π°Π²ΡΠΎΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΡ
Π΅ΠΌΠ΅, Ρ ΡΠΈΡΠΎΠΊΠΎΠΏΠΎΠ»ΠΎΡΠ½ΡΠΌ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ ΠΠ§Π Π·ΠΎΠ½Π΄ΠΈΡΡΡΡΠΈΠΌ ΡΠΈΠ³Π½Π°Π»ΠΎΠΌ. ΠΠ»Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ Π²ΡΠ±ΠΎΡΠΊΠΈ ΠΎΡΡΡΠ΅ΡΠΎΠ² ΠΏΡΠΈΠ½ΡΡΠΎΠ³ΠΎ ΡΠΈΠ³Π½Π°Π»Π° ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»Π°ΡΡ ΡΡΠ΅Π΄Π° MatLab.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠΈΠΉ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΈ Π΄Π°Π»ΡΠ½ΠΎΡΡΠΈ Π±ΡΡΡΡΠΎΠ΄Π²ΠΈΠΆΡΡΠΈΡ
ΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
, ΠΊΠΎΠ³Π΄Π° ΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π° ΠΈΠ½ΡΠ΅ΡΠ²Π°Π» ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π ΠΠ‘ ΠΏΠΎ Π΄Π°Π»ΡΠ½ΠΎΡΡΠΈ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΏΡΠΎΡΠ΅Π½Π½ΠΎΠΉ ΠΊΠ°Π»ΠΌΠ°Π½ΠΎΠ²ΡΠΊΠΎΠΉ ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ Π΄Π»Ρ ΠΌΠ΅ΠΆΠΏΠ΅ΡΠΈΠΎΠ΄Π½ΠΎΠΉ Π²ΡΠΎΡΠΈΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΈΠ³Π½Π°Π»Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°. Π Ρ
ΠΎΠ΄Π΅ Π½Π°ΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ°ΠΊΠ΅ΡΠ° ΠΌΠ°Π»ΠΎΠΌΠΎΡΠ½ΠΎΠΉ Π ΠΠ‘ Ρ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π½ΡΠΈΠΌΠ΅ΡΡΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π° ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΡΡΠΎΠΉΡΠΈΠ²Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΈ Π΄Π°Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅ΡΡΡ Π½Π° ΡΠ°ΡΡΡΠΎΡΠ½ΠΈΠΈ ΠΊΠ°ΠΊ ΠΌΠΈΠ½ΠΈΠΌΡΠΌ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΊΠΈΠ»ΠΎΠΌΠ΅ΡΡΠ°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ Π½Π°ΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΈ ΡΠ΄Π΅Π»Π°ΡΡ Π²ΡΠ²ΠΎΠ΄ ΠΎ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠΎΠ±Π°ΡΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° Π΄Π°ΠΆΠ΅ ΠΏΡΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ ΠΌΠ΅ΠΆΠΏΠ΅ΡΠΈΠΎΠ΄Π½ΠΎΠΉ Π²ΡΠΎΡΠΈΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ. ΠΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π΅ΡΠ΅ Π±ΠΎΠ»ΡΡΠ΅ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΏΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΏΠΎΠ»Π½ΠΎΠΌ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π·Π°ΡΡΠ°Ρ, ΡΠ°ΠΊ ΠΊΠ°ΠΊ Π±Π»ΠΈΠ·ΠΊΠΈΠΉ ΠΊ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΌΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠ° Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΠΈ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Ρ-Π½ΠΎΡΠΈΡΠ΅Π»Ρ Π ΠΠ‘ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΠΎΠ»Π°Π³Π°ΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΡΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΏΡΠΎΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΈΠ»ΡΡΡΠ° ΠΠ°Π»ΠΌΠ°Π½Π° Π² ΡΠΎΡΠΌΠ΅ Ξ±-Ξ²-Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°
On the Effect of Dust Particles on Global Cloud Condensation Nuclei and Cloud Droplet Number
Aerosol-cloud interaction studies to date consider aerosol with a substantial fraction of soluble material as the sole source of cloud condensation nuclei (CCN). Emerging evidence suggests that mineral dust can act as good CCN through water adsorption onto the surface of particles. This study provides a first assessment of the contribution of insoluble dust to global CCN and cloud droplet number concentration (CDNC). Simulations are carried out with the NASA Global Modeling Initiative chemical transport model with an online aerosol simulation, considering emissions from fossil fuel, biomass burning, marine, and dust sources. CDNC is calculated online and explicitly considers the competition of soluble and insoluble CCN for water vapor. The predicted annual average contribution of insoluble mineral dust to CCN and CDNC in cloud-forming areas is up to 40 and 23.8%, respectively. Sensitivity tests suggest that uncertainties in dust size distribution and water adsorption parameters modulate the contribution of mineral dust to CDNC by 23 and 56%, respectively. Coating of dust by hygroscopic salts during the atmospheric aging causes a twofold enhancement of the dust contribution to CCN; the aged dust, however, can substantially deplete in-cloud supersaturation during the initial stages of cloud formation and can eventually reduce CDNC. Considering the hydrophilicity from adsorption and hygroscopicity from solute is required to comprehensively capture the dust-warm cloud interactions. The framework presented here addresses this need and can be easily integrated in atmospheric models
Modulating effect of liposomal miR-101 on the processes of amyloidogenesis, smell, sleep and neuroinflammation in experimental Alzheimer's disease
The current therapy for Alzheimer's disease does not give patients a chance of recovery. Therefore, it is relevant to study the novel factors of influence, in particular microRNA, on the pathogenic mechanisms of amyloidosis. The aim of this work was to determine the effect of miR-101 on early predictors of amyloidosis in experimental Alzheimer's disease in animals. The study was carried out on 25 male rats of 14 months of age. A model of Alzheimer's disease was created by intrahippocampal administration of AΞ²40 aggregates to animals. Ten days later, a 10-day course of nasal administration of miR-101 in liposomes was launched. The level of endogenous AΞ²42 and cytokines (TNFΞ±, IL-6 and IL-10) was determined in the supernatants of the nerve tissues of the target brain structures (hippocampus, olfactory bulbs, and olfactory tubercles). A neuroethological method of presenting smells of isovaleric acid and peanut butter was used to assess the olfactory system functional state in the experimental rats. In the course of polygraphic registration of the sleep-wakefulness cycle, the representation of wakefulness and individual sleep phases, as well as proportion of incomplete and complete sleep cycles were determined. It was shown that injection of AΞ²40 aggregates into the hippocampus simulates an amyloidogenic state in the ratβs hippocampus and olfactory tubercles, but not in the olfactory bulbs. Moreover, a pro-inflammatory state was registered in the hippocampus of the animal brain (an increase in the concentration of pro-inflammatory cytokines TNFΞ± and IL-6), while the cytokine level in the olfactory bulbs and tubercles did not change. When studying the functional state of olfactory analyzers in the rats with Alzheimer's disease, we revealed negative changes in behavioral response to the smell of isovaleric acid and peanut butter. In terms of somnograms, the AΞ²40 toxicity caused reduction in the deep slow-wave sleep stage combined with deficiency of the paradoxical sleep phase, and predominance of incomplete sleep cycles. Nasal therapy with miR-101 in liposomes normalized the level of AΞ²42 in the hippocampus and olfactory tubercles and decreased the level of proinflammatory cytokines in the hippocampus. MiR-101 prevented olfactory disfunctions in assessing smells of isovaleric acid and peanut butter, increased the ratio of deep slow-wave sleep and paradoxical sleep in the cycle structure and restored proportion of complete sleep cycles in animals. Thus, liposomal miR-101 has an anti-amyloidogenic and anti-inflammatory effect in rats with a model of Alzheimer's disease. It helps to restore the functional state of olfactory analyzer and optimize structural organization of the sleep-wakefulness cycle in sick animals
The Construction of Quantum Field Operators: Something of Interest
We draw attention to some tune problems in constructions of the quantum-field
operators for spins 1/2 and 1. They are related to the existence of
negative-energy and acausal solutions of relativistic wave equations.
Particular attention is paid to the chiral theories, and to the method of the
Lorentz boosts.Comment: 31 pages, no figures. The invited talk at the VIII International
Workshop "Applied Category Theory. Graph-Operad-Logic", San Blas, Nayarit,
Mexico, January 9-16, 2010, and at the 6th International Conference on the
Dark Side of the Universe (DSU2010), Leon, Gto, Mexico, June 1-6, 201
Cooper pairing of electrons and holes in graphene bilayer: Correlation effects
Cooper pairing of spatially separated electrons and holes in graphene bilayer
is studied beyond the mean-field approximation. Suppression of the screening at
large distances, caused by appearance of the gap, is considered
self-consistently. A mutual positive feedback between appearance of the gap and
enlargement of the interaction leads to a sharp transition to correlated state
with greatly increased gap above some critical value of the coupling strength.
At coupling strength below the critical, this correlation effect increases the
gap approximately by a factor of two. The maximal coupling strength achievable
in experiments is close to the critical value. This indicated importance of
correlation effects in closely-spaced graphene bilayers at weak substrate
dielectric screening. Another effect beyond mean-field approximation considered
is an influence of vertex corrections on the pairing, which is shown to be very
weak.Comment: 6 pages, 5 figures; some references were adde
ΠΠΠΠΠ ΠΠ’Π ΠΠΠ ΠΠΠΠ’ΠΠ Π‘ΠΠΠΠΠΠΠ Π Π ΠΠΠΠΠΠΠΠΠ¦ΠΠΠΠΠΠ Π‘ΠΠ‘Π’ΠΠΠ Π‘ ΠΠΠΠ ΠΠ Π«ΠΠΠ«Π Π§ΠΠ‘Π’ΠΠ’ΠΠ-ΠΠΠΠ£ΠΠΠ ΠΠΠΠΠΠ«Π ΠΠΠΠ£Π§ΠΠΠΠΠ Π ΠΠΠ’ΠΠ ΠΠ‘ΠΠ₯ ΠΠΠΠΠ Π£ΠΠΠΠΠ― ΠΠΠΠΠΠΠΠΠ’ΠΠ«Π₯ ΠΠΠΠΠ£Π¨ΠΠ«Π₯ ΠΠΠͺΠΠΠ’ΠΠ, ΠΠ¦ΠΠΠΠ ΠΠ₯ ΠΠΠΠ¬ΠΠΠ‘Π’Π Π Π‘ΠΠΠ ΠΠ‘Π’Π ΠΠΠΠΠΠΠΠ―
Nowadays the interest in search of ways of improving the efficiency of small radar cross-section aerial objects detection and localization rises against the background of widespread use of light and unmanned aerial vehi-cles. As a result, researchers pay attention to radar systems (RS) with continuous linear frequency modulation (linear FM) signal. The use of such signals gives the measurable opportunity to reduce radar system peak-speech power and to cut the cost and weightsize parameters of the RS. The paper observes low-power ground based radar implementation prospects for purposes of detection and estimation of motion rates of small-sized aerial objects. The proposed algorithm of radar signals processing enables to simplify the detection of such tar-gets. The paper reveals the structure and defines the steps of the algorithm. The fundamental for the algorithm under consideration is the method of the range-Doppler image composition of the scanned area using digital signal processing. The paper presents the results of the algorithm operation in the low-power RS of C-band radar, obtained by processing of quadrotor echo-signals during the real experiment. The results show successful solvation of the applied problem of detection and tracking on the small-sized aerial object with the radar cross-section equal to less than 0.5 m2 and the spectrum of secondary radiation characterized by the expressed multimodality. The results of the experiment validate the application of the algorithm and demonstrate the possibility of the algorithm implementation in design of portable RS and automated target acquisition centers for detecting and tracking of the small-sized aerial targets (both, single as multi agent) with the information display on operator control panel.ΠΠ° ΡΠΎΠ½Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΌΠ΅ΡΡΠ½ΠΎΠ³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π±Π΅ΡΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
Π»Π΅ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² ΠΈ Π»Π΅Π³ΠΊΠΎΠΌΠΎΡΠΎΡΠ½ΠΎΠΉ Π°Π²ΠΈΠ°ΡΠΈΠΈ ΡΠ°ΡΡΠ΅Ρ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ ΠΊ ΠΏΠΎΠΈΡΠΊΡ ΠΏΡΡΠ΅ΠΉ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Ρ ΠΌΠ°Π»ΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠ»ΠΎΡΠ°Π΄ΡΡ ΡΠ°ΡΡΠ΅ΡΠ½ΠΈΡ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΊ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠΌ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌ (Π ΠΠ‘) Ρ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎ-ΡΠ°ΡΡΠΎΡΠ½ΠΎ-ΠΌΠΎΠ΄ΡΠ»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ (ΠΠ§Π) ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°ΠΊΠΈΡ
Π·ΠΎΠ½Π΄ΠΈΡΡΡΡΠΈΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠ½ΠΈΠ·ΠΈΡΡ ΠΏΠΈΠΊΠΎΠ²ΡΡ ΠΌΠΎΡΠ½ΠΎΡΡΡ Π ΠΠ‘ ΠΈ ΡΠΌΠ΅Π½ΡΡΠΈΡΡ Π΅Π΅ ΠΌΠ°ΡΡΠΎΠ³Π°Π±Π°ΡΠΈΡΠ½ΡΠ΅ ΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ. Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΠΌΠΎΡΠ½ΠΎΠΉ Π½Π°Π·Π΅ΠΌΠ½ΠΎΠΉ Π ΠΠ‘ Ρ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ ΠΠ§Π-ΡΠΈΠ³Π½Π°Π»ΠΎΠΌ Π² ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ°Ρ
ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΠ·Π°ΠΌΠ΅ΡΠ½ΡΡ
Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ². ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΠ³Π½Π°Π»ΠΎΠ², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠΉ ΡΠΏΡΠΎΡΡΠΈΡΡ ΠΏΡΠΎΡΠ΅Π΄ΡΡΡ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
ΡΠ΅Π»Π΅ΠΉ, ΡΠ°ΡΠΊΡΡΡΠ° ΡΡΡΡΠΊΡΡΡΠ° ΠΈ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΡΠ°ΠΏΠΎΠ² Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°. Π ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° Π»Π΅ΠΆΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π»ΡΠ½ΠΎΡΡΠ½ΠΎ-Π΄ΠΎΠΏΠ»Π΅ΡΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΡΡΡΠ΅ΡΠ° Π·ΠΎΠ½Ρ ΠΎΠ±Π·ΠΎΡΠ° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΈΠ³Π½Π°Π»Π°. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° Π² ΠΌΠ°Π»ΠΎΠΌΠΎΡΠ½ΠΎΠΉ Π ΠΠ‘ Π‘-Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΏΡΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΡ
ΠΎΡΠΈΠ³Π½Π°Π»ΠΎΠ² ΠΊΠ²Π°Π΄ΡΠΎΠΊΠΎΠΏΡΠ΅ΡΠ°, Π·Π°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² Ρ
ΠΎΠ΄Π΅ Π½Π°ΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ ΡΡΠΏΠ΅ΡΠ½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΈ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΡΠ°Π·ΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄ΡΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ° Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠ»ΠΎΡΠ°Π΄ΡΡ ΡΠ°ΡΡΠ΅ΡΠ½ΠΈΡ Π΄ΠΎ 0.5 ΠΌ2, ΡΠΏΠ΅ΠΊΡΡ Π²ΡΠΎΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠΉ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΡΡΡΡ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΠ»ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΡΡ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π΅Π³ΠΎ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΠΈ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΡ
ΠΏΠ΅ΡΠ΅Π½ΠΎΡΠ½ΡΡ
ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ² ΠΈ ΠΏΠΎΡΡΠΎΠ² Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΠΈ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΠ·Π°ΠΌΠ΅ΡΠ½ΡΡ
ΠΎΠ΄ΠΈΠ½ΠΎΡΠ½ΡΡ
ΠΈ Π³ΡΡΠΏΠΏΠΎΠ²ΡΡ
ΡΠ΅Π»Π΅ΠΉ Ρ Π²ΡΠ΄Π°ΡΠ΅ΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π½Π° ΠΏΡΠ»ΡΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΎΡΠ°
Extra Dirac Equations
This paper has rather a pedagogical meaning. Surprising symmetries in the
Lorentz group representation space are analyzed. The aim is
to draw reader's attention to the possibility of describing the particle world
on the ground of the Dirac "doubles". Several tune points of the variational
principle for this kind of equations are briefly discussed.Comment: REVTeX 3.0, 14p
Majorana Neutrino: Chirality and Helicity
We introduce the Majorana spinors in the momentum representation. They obey
the Dirac-like equation with eight components, which has been first introduced
by Markov. Thus, the Fock space for corresponding quantum fields is doubled (as
shown by Ziino). The particular attention has been paid to the questions of
chirality and helicity (two concepts which frequently are confused in the
literature) for Dirac and Majorana states.Comment: Misprints corrected. 19 pp., no figures. The talk given at the QTS7
Conference (Prague, Czech Republic, August 7-13, 2011
Π‘ΠΈΠ½ΡΠ΅Π· ΠΏΠΎΠ»ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ Π°ΠΌΡΠΈΡΠΈΠ»ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Ρ ΠΎΠ»Π΅Π²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ
A synthesis of polycationic amphiphiles on the basis of cholic acis with potential antimicrobial and transfection activities has been described.ΠΠΏΠΈΡΠ°Π½ ΡΠΈΠ½ΡΠ΅Π· ΠΏΠΎΠ»ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
Π°ΠΌΡΠΈΡΠΈΠ»ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Ρ
ΠΎΠ»Π΅Π²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π°Π½ΡΠΈΠΌΠΈΠΊΡΠΎΠ±Π½ΠΎΠΉ ΠΈΠ»ΠΈ ΡΡΠ°Π½ΡΡΠΈΡΠΈΡΡΡΡΠ΅ΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡΡ
Neutral Particles in Light of the Majorana-Ahluwalia Ideas
The first part of this article (Sections I and II) presents oneself an
overview of theory and phenomenology of truly neutral particles based on the
papers of Majorana, Racah, Furry, McLennan and Case. The recent development of
the construct, undertaken by Ahluwalia [{\it Mod. Phys. Lett. A}{\bf 9} (1994)
439; {\it Acta Phys. Polon. B}{\bf 25} (1994) 1267; Preprints LANL
LA-UR-94-1252, LA-UR-94-3118], could be relevant for explanation of the present
experimental situation in neutrino physics and astrophysics.
In Section III the new fundamental wave equations for self/anti-self
conjugate type-II spinors, proposed by Ahluwalia, are re-casted to covariant
form. The connection with the Foldy-Nigam-Bargmann-Wightman- Wigner (FNBWW)
type quantum field theory is found. The possible applications to the problem of
neutrino oscillations are discussed.Comment: REVTEX file. 21pp. No figure
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