777 research outputs found
Coupling of pinned magnetic moments in an antiferromagnet to a ferromagnet and its role for exchange bias
The interaction between uncompensated pinned magnetic moments within an antiferromagnetic (AFM) layer and an adjacent ferromagnetic (FM) layer responsible for the existence of exchange bias is explored in epitaxially grown trilayers of the form FM2/AFM/FM1 on Cu3Au(0β0β1) where FM1 is ~12 atomic monolayers (ML) Ni, FM2 is 21β25 ML Ni, and AFM is 27 ML or 50 ML Ni~25Mn~75. Field cooling for parallel or antiparallel alignment of the out-of-plane magnetizations of the two FM layers does not make a difference for the temperature-dependent coercivity (H C), magnitude of exchange bias field (H eb), AFM ordering temperature (T AFM), and blocking temperature for exchange bias (T b). We explain this by a model in which the uncompensated pinned magnetic moments distributed within the volume of the AFM layer interact with both of the FM layers, albeit with different strength. Parallel and antiparallel coupling between the magnetization of the pinned moments and the FM layers equally exists. This leads to the experimentally observed independence of H C, H eb, as well as of T AFM and T b on the magnetization direction of the FM layers during field cooling. These results provide new and detailed insight into revealing the subtle and complex nature of the exchange bias effect
Analyzing Delay in Wireless Multi-hop Heterogeneous Body Area Networks
With increase in ageing population, health care market keeps growing. There
is a need for monitoring of health issues. Wireless Body Area Network (WBAN)
consists of wireless sensors attached on or inside human body for monitoring
vital health related problems e.g, Electro Cardiogram (ECG), Electro
Encephalogram (EEG), ElectronyStagmography (ENG) etc. Due to life threatening
situations, timely sending of data is essential. For data to reach health care
center, there must be a proper way of sending data through reliable connection
and with minimum delay. In this paper transmission delay of different paths,
through which data is sent from sensor to health care center over heterogeneous
multi-hop wireless channel is analyzed. Data of medical related diseases is
sent through three different paths. In all three paths, data from sensors first
reaches ZigBee, which is the common link in all three paths. Wireless Local
Area Network (WLAN), Worldwide Interoperability for Microwave Access (WiMAX),
Universal Mobile Telecommunication System (UMTS) are connected with ZigBee.
Each network (WLAN, WiMAX, UMTS) is setup according to environmental
conditions, suitability of device and availability of structure for that
device. Data from these networks is sent to IP-Cloud, which is further
connected to health care center. Delay of data reaching each device is
calculated and represented graphically. Main aim of this paper is to calculate
delay of each link in each path over multi-hop wireless channel.Comment: arXiv admin note: substantial text overlap with arXiv:1208.240
Simulation Analysis of Medium Access Techniques
This paper presents comparison of Access Techniques used in Medium Access
Control (MAC) protocol for Wireless Body Area Networks (WBANs). Comparison is
performed between Time Division Multiple Access (TDMA), Frequency Division
Multiple Access (FDMA), Carrier Sense Multiple Access with Collision Avoidance
(CSMA/CA), Pure ALOHA and Slotted ALOHA (S-ALOHA). Performance metrics used for
comparison are throughput (T), delay (D) and offered load (G). The main goal
for comparison is to show which technique gives highest Throughput and lowest
Delay with increase in Load. Energy efficiency is major issue in WBAN that is
why there is need to know which technique performs best for energy conservation
and also gives minimum delay.Comment: NGWMN with 7th IEEE International Conference on Broadband and
Wireless Computing, Com- munication and Applications (BWCCA 2012), Victoria,
Canada, 201
Transmission Delay of Multi-hop Heterogeneous Networks for Medical Applications
Nowadays, with increase in ageing population, Health care market keeps
growing. There is a need for monitoring of Health issues. Body Area Network
consists of wireless sensors attached on or inside human body for monitoring
vital Health related problems e.g, Electro Cardiogram (ECG),
ElectroEncephalogram (EEG), ElectronyStagmography(ENG) etc. Data is recorded by
sensors and is sent towards Health care center. Due to life threatening
situations, timely sending of data is essential. For data to reach Health care
center, there must be a proper way of sending data through reliable connection
and with minimum delay. In this paper transmission delay of different paths,
through which data is sent from sensor to Health care center over heterogeneous
multi-hop wireless channel is analyzed. Data of medical related diseases is
sent through three different paths. In all three paths, data from sensors first
reaches ZigBee, which is the common link in all three paths. After ZigBee there
are three available networks, through which data is sent. Wireless Local Area
Network (WLAN), Worldwide Interoperability for Microwave Access (WiMAX),
Universal Mobile Telecommunication System (UMTS) are connected with ZigBee.
Each network (WLAN, WiMAX, UMTS) is setup according to environmental
conditions, suitability of device and availability of structure for that
device. Data from these networks is sent to IP-Cloud, which is further
connected to Health care center. Main aim of this paper is to calculate delay
of each link in each path over multihop wireless channel.Comment: BioSPAN with 7th IEEE International Conference on Broadband and
Wireless Computing, Communication and Applications (BWCCA 2012), Victoria,
Canada, 201
The XMM-Newton Iron Line Profile of NGC 3783
We report on observations of the iron K line in the nearby Seyfert 1 galaxy,
NGC 3783, obtained in a long, 2 orbit (240 ks) XMM-Newton observation. The line
profile obtained exhibits two strong narrow peaks at 6.4 keV and at 7.0 keV,
with measured line equivalent widths of 120 and 35 eV respectively. The 6.4 keV
emission is the K-alpha line from near neutral Fe, whilst the 7.0 keV feature
probably originates from a blend of the neutral Fe K-beta line and the H-like
line of Fe at 6.97 keV. The relatively narrow velocity width of the K-alpha
line (<5000 km/s), its lack of response to the continuum emission on short
timescales and the detection of a neutral Compton reflection component are all
consistent with a distant origin in Compton-thick matter such as the putative
molecular torus. A strong absorption line from highly ionized iron (at 6.67
keV) is detected in the time-averaged iron line profile, whilst the depth of
the feature appears to vary with time, being strongest when the continuum flux
is higher. The iron absorption line probably arises from the highest ionization
component of the known warm absorber in NGC 3783, with an ionization of logxi=3
and column density of 5x10^{22}cm{-2} and may originate from within 0.1pc of
the nucleus. A weak red-wing to the iron K line profile is also detected below
6.4 keV. However when the effect of the highly ionized warm absorber on the
underlying continuum is taken into account, the requirement for a relativistic
iron line component from the inner disk is reduced.Comment: 34 pages, including 11 figures. Accepted for publication in Ap
The nature of a broad line radio galaxy: Simultaneous RXTE and Chandra HETG observations of 3C 382
We present the results from simultaneous chandra and rxte observations of the
X-ray bright Broad-Line Radio Galaxy (BLRG) 3C 382. The long (120 ks) exposure
with chandra HETG allows a detailed study of the soft X-ray continuum and of
the narrow component of the Fe Kalpha line. The rxte PCA data are used to put
an upper limit on the broad line component and constrain the hard X-ray
continuum. A strong soft excess below 1 keV is observed in the time-averaged
HETG spectrum, which can be parameterized with a steep power law or a thermal
model. The flux variability at low energies indicates that the origin of the
soft excess cannot be entirely ascribed to the circumnuclear diffuse emission,
detected by chandra on scales of 20-30 arcsec (22-33 kpc). A narrow (sigma<90
eV) Fe Kalpha line (with EW< 100 eV) is observed by the chandra HEG. Similar
values for the line parameters are measured by the rxte PCA, suggesting that
the contribution from a broad line component is negligible. The fact that the
exposure is split into two observations taken three days apart allows us to
investigate the spectral and temporal evolution of the source on different
timescales. Significant flux variability associated with spectral changes is
observed on timescales of hours and days. The spectral variability is similar
to that observed in radio-quiet AGN ruling out a jet-dominated origin of the
X-rays.Comment: 19 pages, 10 figures, 3 tables, accepted for publication in Ap
The Cores of the Fe K Lines in Seyfert I Galaxies Observed by the Chandra High Energy Grating
We report on the results of 18 observations of the core, or peak, of the Fe K
emission line at keV in 15 Seyfert I galaxies using the {\it
Chandra} High Energy Grating (HEG). These data afford the highest precision
measurements of the peak energy of the Fe K line, and the highest spectral
resolution measurements of the width of the core of the line to date. We were
able to measure the peak energy in 17 data sets, and, excluding a very deep
observation of NGC 3783, we obtained a weighted mean of keV.
In all 15 sources the two-parameter, 99% confidence errors on the line peak
energy do not exclude fluorescent line emission from Fe {\sc i},
although two sources (Mkn 509 and 3C 120) stand out as very likely being
dominated by emission from Fe {\sc xvii} or so. We were able to
measure the line core width in 14 data sets and obtained a weighted mean of
2380 +/- 760 km/s FWHM (excluding the NGC 3783 deep exposure), a little larger
than the instrument resolution. However, there is evidence of underlying broad
line emission in at least 4 sources. In fact, the width of the peak varies
widely from source to source and it may in general have a contribution from the
outer parts of an accretion disk {\it and} more distant matter. For the disk
contribution to also peak at 6.4 keV requires greater line emissivity at
hundreds of gravitational radii than has been deduced from previous studies of
the Fe K line.Comment: Accepted for publication in the Astrophysical Journal. 15 pages, four
figures, two of them color. Abstract is slightly abridge
ΠΡΠ΅Π½ΠΊΠ° Π±ΠΎΠ»ΠΈ ΠΏΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΈ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»-ΠΏΡΠΎΠΏΠΎΡΠΎΠ»: Π΄Π²Π° ΡΡΠΎΠ²Π½Ρ Π΄ΠΎΠ·ΠΈΡΠΎΠ²ΠΊΠΈ
Background. In the field of intravenous anesthesia, propofol is widely utilized as an induction agent. However, Propofol injection pain is a frequent adverse event that may result in discomfort for patients. Various strategies have been investigated to prevent or alleviate this pain, considering the presence of opioid receptors in the primary afferent nerve endings of peripheral tissues, which suggests a potential role of opioids in mitigating propofol-induced pain. Fentanyl, a short-acting pure opioid agonist commonly used for systemic analgesia during intraoperative and postoperative periods, has been found to possess peripherally mediated analgesic properties within its clinical dosage range. Therefore, the objective of this study was to evaluate the efficacy of a low dose of fentanyl in the fentanyl-propofol combination for reducing propofol injection pain.The objective of our study was to evaluate and compare the efficacy of two distinct doses of fentanyl in mitigating the pain associated with propofol injection.Materials and methods. The study enrolled 90 patients classified as ASA IβII who were scheduled for elective surgery. The study spanned over 4 months, from November 2022 to April 2023, and included patients aged 19 to 65 years. Patients were divided into three groups, each comprising 30 patients. The control group received only 5 ml (50 mg) of propofol. The group M1 received only 5 ml of a mixture of fentanyl and propofol, prepared with 20 ml (200 mg) of propofol and 2 ml (100 ΞΌg) of fentanyl, while the group M2 received only 5 ml of a mixture of fentanyl and propofol, prepared with 20 ml (200 mg) of propofol and 4 ml (200 ΞΌg) of fentanyl, at an injection speed of 0.5 ml/s. After 10 seconds of medication, patients were asked a standard question about the comfort of the injection, and a verbal rating scale (VRS) was used to assess propofol injection pain. Anesthesia induction was then continued following standard protocols. Statistical significance was set at p < 0.05 for all analyses.Results. The three groups were found to be similar in terms of patient characteristics. In the control group, the incidence of severe pain upon propofol injection was 46.7%, whereas it was 0% in both groups M1 and M2 (p < 0.05).Conclusion. The combination of fentanyl and propofol has been shown to effectively reduce the incidence of propofol injection pain. Interestingly, in this study, no significant difference was observed between the two different doses of fentanyl used in the mixture. This suggests that a low dose of fentanyl may be sufficient in achieving a pain-free environment during propofol induction, thereby offering a cost-effective approach in clinical practice.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ. ΠΡΠΎΠΏΠΎΡΠΎΠ» ΡΠΈΡΠΎΠΊΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΡΠ΅Π΄ΡΡΠ²Π° Π΄Π»Ρ Π²Π²ΠΎΠ΄Π½ΠΎΠΉ Π°Π½Π΅ΡΡΠ΅Π·ΠΈΠΈ. ΠΠ΄Π½Π°ΠΊΠΎ ΡΠ°ΡΡΡΠΌ ΠΏΠΎΠ±ΠΎΡΠ½ΡΠΌ ΡΡΡΠ΅ΠΊΡΠΎΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ Π±ΠΎΠ»Ρ ΠΏΡΠΈ Π΅Π³ΠΎ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΌΠΎΠΆΠ΅Ρ ΠΏΡΠΈΠ²Π΅ΡΡΠΈ ΠΊ Π΄ΠΈΡΠΊΠΎΠΌΡΠΎΡΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΡΠ»ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ΅Π½ΠΈΡ ΠΈΠ»ΠΈ ΠΎΠ±Π»Π΅Π³ΡΠ΅Π½ΠΈΡ ΡΡΠΎΠΉ Π±ΠΎΠ»ΠΈ, ΡΡΠΈΡΡΠ²Π°Ρ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΎΠΏΠΈΠΎΠΈΠ΄Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΏΡΠΎΡΠΎΠ² Π² ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
Π°ΡΡΠ΅ΡΠ΅Π½ΡΠ½ΡΡ
Π½Π΅ΡΠ²Π½ΡΡ
ΠΎΠΊΠΎΠ½ΡΠ°Π½ΠΈΡΡ
ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΊΠ°Π½Π΅ΠΉ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΡ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΡ ΡΠΎΠ»Ρ ΠΎΠΏΠΈΠΎΠΈΠ΄ΠΎΠ² Π² ΡΠΌΡΠ³ΡΠ΅Π½ΠΈΠΈ Π±ΠΎΠ»ΠΈ, Π²ΡΠ·Π²Π°Π½Π½ΠΎΠΉ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»ΠΎΠΌ. ΠΡΠ»ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ, ΡΡΠΎ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ», ΡΠΈΡΡΡΠΉ ΠΎΠΏΠΈΠΎΠΈΠ΄Π½ΡΠΉ Π°Π³ΠΎΠ½ΠΈΡΡ ΠΊΠΎΡΠΎΡΠΊΠΎΠ³ΠΎ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ, ΠΎΠ±ΡΡΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠΉ Π΄Π»Ρ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠΉ Π°Π½Π°Π»ΡΠ³Π΅Π·ΠΈΠΈ Π²ΠΎ Π²ΡΠ΅ΠΌΡ ΠΈΠ½ΡΡΠ°ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΈ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΎΠ², ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈ ΠΎΠΏΠΎΡΡΠ΅Π΄ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π°Π½Π°Π»ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌΠΈ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
Π΅Π³ΠΎ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΎΠ·ΠΈΡΠΎΠ²ΠΊΠΈ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π·Π°Π΄Π°ΡΠ΅ΠΉ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΎ ΠΎΡΠ΅Π½ΠΈΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π½ΠΈΠ·ΠΊΠΎΠΉ Π΄ΠΎΠ·Ρ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° Π² ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΈ Β«ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»βΠΏΡΠΎΠΏΠΎΡΠΎΠ»Β» Π΄Π»Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»ΠΈ ΠΏΡΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°.Π¦Π΅Π»Ρ β ΠΎΡΠ΅Π½ΠΈΡΡ ΠΈ ΡΡΠ°Π²Π½ΠΈΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π΄Π²ΡΡ
ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π΄ΠΎΠ· ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° Π² ΠΎΠ±Π»Π΅Π³ΡΠ΅Π½ΠΈΠΈ Π±ΠΎΠ»ΠΈ, ΡΠ²ΡΠ·Π°Π½Π½ΠΎΠΉ Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΈΠ½ΡΠ»ΠΈ ΡΡΠ°ΡΡΠΈΠ΅ 90 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΈΠΌΠ΅ΡΡΠΈΡ
ΡΠΈΡΠΊ ΠΏΠΎ ΡΠΊΠ°Π»Π΅ ASA IβII, ΠΊΠΎΡΠΎΡΡΠΌ Π±ΡΠ»Π° Π½Π°Π·Π½Π°ΡΠ΅Π½Π° ΠΏΠ»Π°Π½ΠΎΠ²Π°Ρ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΡ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π»ΠΈΠ»ΠΎΡΡ Π±ΠΎΠ»Π΅Π΅ 4 ΠΌΠ΅ΡΡΡΠ΅Π² Ρ Π½ΠΎΡΠ±ΡΡ 2022 Π³. ΠΏΠΎ Π°ΠΏΡΠ΅Π»Ρ 2023 Π³. ΠΈ Π²ΠΊΠ»ΡΡΠ°Π»ΠΎ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ 19 Π΄ΠΎ 65 Π»Π΅Ρ. ΠΠ°ΡΠΈΠ΅Π½ΡΡ Π±ΡΠ»ΠΈ ΡΠ°Π·Π΄Π΅Π»Π΅Π½Ρ Π½Π° 3 Π³ΡΡΠΏΠΏΡ, ΠΊΠ°ΠΆΠ΄Π°Ρ ΠΈΠ· ΠΊΠΎΡΠΎΡΡΡ
ΡΠΎΡΡΠΎΡΠ»Π° ΠΈΠ· 30 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². ΠΠΎΠ½ΡΡΠΎΠ»ΡΠ½Π°Ρ Π³ΡΡΠΏΠΏΠ° ΠΏΠΎΠ»ΡΡΠ°Π»Π° ΡΠΎΠ»ΡΠΊΠΎ 5 ΠΌΠ» (50 ΠΌΠ³) ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°. 1 Π³ΡΡΠΏΠΏΠ° ΠΏΠΎΠ»ΡΡΠ°Π»Π° ΡΠΎΠ»ΡΠΊΠΎ 5 ΠΌΠ» ΡΠΌΠ΅ΡΠΈ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° ΠΈ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°, ΠΏΡΠΈΠ³ΠΎΡΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΠΈΠ· 20 ΠΌΠ» (200 ΠΌΠ³) ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π° ΠΈ 2 ΠΌΠ» (100 ΠΌΠΊΠ³) ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π°, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ 2 Π³ΡΡΠΏΠΏΠ° ΠΏΠΎΠ»ΡΡΠ°Π»Π° ΡΠΎΠ»ΡΠΊΠΎ 5 ΠΌΠ» ΡΠΌΠ΅ΡΠΈ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° ΠΈ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°, ΠΏΡΠΈΠ³ΠΎΡΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΠΈΠ· 20 ΠΌΠ» (200 ΠΌΠ³) ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π° ΠΈ 4 ΠΌΠ» (200 ΠΌΠΊΠ³) ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° ΡΠΎ ΡΠΊΠΎΡΠΎΡΡΡΡ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ 0,5 ΠΌΠ»/Ρ. ΠΠΎΡΠ»Π΅ 10 ΡΠ΅ΠΊΡΠ½Π΄ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌ Π·Π°Π΄Π°Π²Π°Π»ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠΉ Π²ΠΎΠΏΡΠΎΡ ΠΎ ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΈ ΡΠ»ΠΎΠ²Π΅ΡΠ½ΡΡ ΠΎΡΠ΅Π½ΠΎΡΠ½ΡΡ ΡΠΊΠ°Π»Ρ (VRS). Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ ΡΡΠΈΡ
Π³ΡΡΠΏΠΏ Π½Π΅ Π±ΡΠ»ΠΎ, Ρ. Π΅. Π³ΡΡΠΏΠΏΡ Π±ΡΠ»ΠΈ ΠΎΠ΄Π½ΠΎΡΠΎΠ΄Π½Ρ. Π ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΡΠ°ΡΡΠΎΡΠ° Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΠΈΠ»ΡΠ½ΠΎΠΉ Π±ΠΎΠ»ΠΈ ΠΏΡΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π° ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 46,7%, ΡΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ Π² 1 ΠΈ 2 Π³ΡΡΠΏΠΏΠ°Ρ
ΠΎΠ½Π° ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 0% (Ρ < 0,05).ΠΡΠ²ΠΎΠ΄. ΠΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΡ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° ΠΈ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΡΠ½ΠΈΠΆΠ°Π΅Ρ ΡΠ°ΡΡΠΎΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ Π±ΠΎΠ»ΠΈ ΠΏΡΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°. ΠΠ½ΡΠ΅ΡΠ΅ΡΠ½ΠΎ, ΡΡΠΎ Π² ΡΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ Π½Π΅ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΎΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠ°Π·Π½ΠΈΡΡ ΠΌΠ΅ΠΆΠ΄Ρ 2 ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ Π΄ΠΎΠ·Π°ΠΌΠΈ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π² ΡΠΌΠ΅ΡΠΈ. ΠΡΠΎ Π³ΠΎΠ²ΠΎΡΠΈΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ Π½ΠΈΠ·ΠΊΠΎΠΉ Π΄ΠΎΠ·Ρ ΡΠ΅Π½ΡΠ°Π½ΠΈΠ»Π° ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ Π΄Π»Ρ ΠΊΡΠΏΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π±ΠΎΠ»ΠΈ Π²ΠΎ Π²ΡΠ΅ΠΌΡ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΡΠΎΠΏΠΎΡΠΎΠ»Π°, ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ Π² ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅
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