303 research outputs found
Objective measurement of habitual sedentary behavior in pre-school children: comparison of activPAL with actigraph monitors
The Actigraph is well established for measurement of both physical activity and
sedentary behavior in children. The activPAL is being used increasingly in children, though with no published evidence on its use in free-living children to date. The present study compared the two monitors in preschool children. Children (n 23) wore both monitors simultaneously during waking hours for 5.6d and 10h/d. Daily mean percentage of time sedentary (nontranslocation of the trunk) was 74.6 (SD 6.8) for the Actigraph and 78.9 (SD 4.3) for activPAL. Daily mean percentage of time physically active (light intensity physical activity plus MVPA) was 25.4 (SD 6.8) for the Actigraph and 21.1 (SD 4.3) for the activPAL. Bland-Altman tests and paired t tests suggested small but statistically significant differences between the two monitors. Actigraph and activPAL estimates of sedentary behaviour and physical activity in young children are similar at a group level
Exploration of Parameter Spaces in a Virtual Observatory
Like every other field of intellectual endeavor, astronomy is being
revolutionised by the advances in information technology. There is an ongoing
exponential growth in the volume, quality, and complexity of astronomical data
sets, mainly through large digital sky surveys and archives. The Virtual
Observatory (VO) concept represents a scientific and technological framework
needed to cope with this data flood. Systematic exploration of the observable
parameter spaces, covered by large digital sky surveys spanning a range of
wavelengths, will be one of the primary modes of research with a VO. This is
where the truly new discoveries will be made, and new insights be gained about
the already known astronomical objects and phenomena. We review some of the
methodological challenges posed by the analysis of large and complex data sets
expected in the VO-based research. The challenges are driven both by the size
and the complexity of the data sets (billions of data vectors in parameter
spaces of tens or hundreds of dimensions), by the heterogeneity of the data and
measurement errors, including differences in basic survey parameters for the
federated data sets (e.g., in the positional accuracy and resolution,
wavelength coverage, time baseline, etc.), various selection effects, as well
as the intrinsic clustering properties (functional form, topology) of the data
distributions in the parameter spaces of observed attributes. Answering these
challenges will require substantial collaborative efforts and partnerships
between astronomers, computer scientists, and statisticians.Comment: Invited review, 10 pages, Latex file with 4 eps figures, style files
included. To appear in Proc. SPIE, v. 4477 (2001
Influence of molding and core sands matrix on the effectiveness of the microwaves absorption
The paper presents the results of applying microwaves to support the drying, redrying and hardening process of molding and core sands made of different types of matrix. In the tests of the microwave heating process a slot line measuring stand was used. Being based on the dielectric parameter measurement it enabled the evaluation of power losses of microwaves penetrating: chromite, magnesite, corundum, zircon and silica molding matrix samples. The survey revealed an impact of humidity and chemical compound of sands on microwave absorption. The study enabled the systematization of knowledge about the influence of selected types of matrix on the effectiveness of the microwave heating process
A technique to record the sedentary to walk movement during free living mobility : a comparison of healthy and stroke populations
Background
Hesitation between moving from a sedentary posture (lying/sitting) to walking is a characteristic of
mobility impaired individuals, as identified from laboratory studies. Knowing the extent to which this
hesitation occurs during everyday life would benefit rehabilitation research. This study aimed to
quantify this transition hesitation through a novel approach to analysing data from a physical activity
monitor based on a tri-axial accelerometer and compare results from two populations; stroke
patients and age-matched unimpaired controls.
Methods
Stroke patients living at home with early supported discharge (n=34, 68.9YO Β± 11.8) and age matched
controls (n=30, 66.8YO Β± 10.5) wore a physical activity monitor for 48hrs. The outputs from
the monitor were then used to determine the transitions from sedentary to walking. The time delay
between a sedentary posture ending and the start of walking classified four transition types: 1)
fluent (<=2s), 2) hesitant (>2s<=10s), 3) separated (>10s) and 4) a change from sedentary with no
registered walking to a return to sedentary.
Results
Control participants initiated walking after a sedentary posture on 92% of occasions. Most
commonly (43%) this was a fluent transition. In contrast stroke patients walked after changing from
a sedentary posture on 68% of occasions with only 9% of transitions classed as fluent, (p<0.05).
Discussion/Conclusion
A new data analysis technique reports the frequency of walking following a change in sedentary
position in stroke patients and healthy controls and characterises this transition according to the
time delay before walking. This technique creates opportunities to explore everyday mobility in
greater depth
Injecting Artificial Memory Errors Into a Running Computer Program
Single-event upsets (SEUs) or bitflips are computer memory errors caused by radiation. BITFLIPS (Basic Instrumentation Tool for Fault Localized Injection of Probabilistic SEUs) is a computer program that deliberately injects SEUs into another computer program, while the latter is running, for the purpose of evaluating the fault tolerance of that program. BITFLIPS was written as a plug-in extension of the open-source Valgrind debugging and profiling software. BITFLIPS can inject SEUs into any program that can be run on the Linux operating system, without needing to modify the program s source code. Further, if access to the original program source code is available, BITFLIPS offers fine-grained control over exactly when and which areas of memory (as specified via program variables) will be subjected to SEUs. The rate of injection of SEUs is controlled by specifying either a fault probability or a fault rate based on memory size and radiation exposure time, in units of SEUs per byte per second. BITFLIPS can also log each SEU that it injects and, if program source code is available, report the magnitude of effect of the SEU on a floating-point value or other program variable
Exploration of Large Digital Sky Surveys
We review some of the scientific opportunities and technical challenges posed
by the exploration of the large digital sky surveys, in the context of a
Virtual Observatory (VO). The VO paradigm will profoundly change the way
observational astronomy is done. Clustering analysis techniques can be used to
discover samples of rare, unusual, or even previously unknown types of
astronomical objects and phenomena. Exploration of the previously poorly probed
portions of the observable parameter space are especially promising. We
illustrate some of the possible types of studies with examples drawn from
DPOSS; much more complex and interesting applications are forthcoming.
Development of the new tools needed for an efficient exploration of these vast
data sets requires a synergy between astronomy and information sciences, with
great potential returns for both fields.Comment: To appear in: Mining the Sky, eds. A. Banday et al., ESO Astrophysics
Symposia, Berlin: Springer Verlag, in press (2001). Latex file, 18 pages, 6
encapsulated postscript figures, style files include
Technology for monitoring everyday prosthesis use: a systematic review
BACKGROUND
Understanding how prostheses are used in everyday life is central to the design, provision and evaluation of
prosthetic devices and associated services. This paper reviews the scientific literature on methodologies and
technologies that have been used to assess the daily use of both upper- and lower-limb prostheses. It discusses
the types of studies that have been undertaken, the technologies used to monitor physical activity, the benefits
of monitoring daily living and the barriers to long-term monitoring.
METHODS
A systematic literature search was conducted in PubMed, Web of Science, Scopus, CINAHL and EMBASE of
studies that monitored the activity of prosthesis-users during daily-living.
RESULTS
60 lower-limb studies and 9 upper-limb studies were identified for inclusion in the review. The first studies in
the lower-limb field date from the 1990s and the number has increased steadily since the early 2000s. In contrast,
the studies in the upper-limb field have only begun to emerge over the past few years. The early lower-limb
studies focused on the development or validation of actimeters, algorithms and/or scores for activity
classification. However, most of the recent lower-limb studies used activity monitoring to compare prosthetic components. The lower-limb studies mainly used step-counts as their only measure of activity, focusing on the
amount of activity, not the type and quality of movements. In comparison, the small number of upper-limb
studies were fairly evenly spread between development of algorithms, comparison of everyday activity to
clinical scores, and comparison of different prosthesis user populations. Most upper-limb papers reported the
degree of symmetry in activity levels between the arm with the prosthesis and the intact arm.
CONCLUSIONS
Activity monitoring technology used in conjunction with clinical scores and user feedback, offers significant
insights into how prostheses are used and whether they meet the userβs requirements. However, the cost, limited
battery-life and lack of availability in many countries mean that using sensors to understand the daily use of
prostheses and the types of activity being performed has not yet become a feasible standard clinical practice.
This review provides recommendations for the research and clinical communities to advance this area for the
benefit of prosthesis users
West End Walkers 65+: a randomised controlled trial of a primary care-based walking intervention for older adults:study rationale and design
<p>Background: In Scotland, older adults are a key target group for physical activity intervention due to the large proportion who are inactive. The health benefits of an active lifestyle are well established but more research is required on the most effective interventions to increase activity in older adults. The 'West End Walkers 65+' randomised controlled trial aims to examine the feasibility of delivering a pedometer-based walking intervention to adults aged β₯65 years through a primary care setting and to determine the efficacy of this pilot. The study rationale, protocol and recruitment process are discussed in this paper.</p>
<p>Methods/Design: The intervention consisted of a 12-week pedometer-based graduated walking programme and physical activity consultations. Participants were randomised into an immediate intervention group (immediate group) or a 12-week waiting list control group (delayed group) who then received the intervention. For the pilot element of this study, the primary outcome measure was pedometer step counts. Secondary outcome measures of sedentary time and physical activity (time spent lying/sitting, standing or walking; activPALβ’ monitor), mood (Positive and Negative Affect Schedule), functional ability (Perceived Motor-Efficacy Scale for Older Adults), quality of life (Short-Form (36) Health Survey version 2) and loneliness (UCLA Loneliness Scale) were assessed. Focus groups with participants and semi-structured interviews with the research team captured their experiences of the intervention. The feasibility component of this trial examined recruitment via primary care and retention of participants, appropriateness of the intervention for older adults and the delivery of the intervention by a practice nurse.</p>
<p>Discussion: West End Walkers 65+ will determine the feasibility and pilot the efficacy of delivering a pedometer-based walking intervention through primary care to Scottish adults aged β₯65 years. The study will also examine the effect of the intervention on the well-being of participants and gain an insight into both participant and research team member experiences of the intervention.</p>
Π‘ΠΈΠ½ΡΠ΅Π· ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΡ ΡΠ΄Π½ΠΈΡ ΠΏΡΡΠΈΠΌΡΠ΄ΠΈΠ½Ρ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ NCNCC+C ΠΏΡΠ΄Ρ ΠΎΠ΄Ρ Π.C.ΠΡΠ°Π½Π°Ρ, Π.Π.ΠΡΠΉΡΠ΅Π²Π°, Π.Π.ΠΡΠΈΠ³ΠΎΡΠ΅Π½ΠΊΠΎ, Π‘.Π.Π ΡΠ±ΡΡ ΡΠ½
The methods of synthesis of various substituted fused pyrimidine derivatives using NCNCC+C approach have been systematized and summarized in the review. Approaches based on the reaction of carbonyl compounds with NCNCC binucleophiles, in particular, N-aryl(thio)ureas, derivatives of aniline and aromatic heterocyclic amines, N-arylamidines and N-imidoylphosphoranes have been considered. Although these methods have been known for a long time, recent efforts in this area are put towards development of mild reaction conditions, in particular with the use of chlorotrimethylsilane or microwave irradiation. Besides, palladium-catalyzed cyclizations have been discussed, they involve N-arylamidines or N-arylcarbodiimides as the NCNCC components, and carbon(II) oxide or isocyanides β as single-carbon synthetic equivalents. These methods have received much attention in recent years. Most of them are three-component reactions, which involve an additional nucleophilic reagent; therefore, these approaches have some advantages in the view of diversity of the products obtained. Other methods for NCNCC+C cyclization have been also considered, including reactions of ketimines derived from aminoheterocycles with isocyanates, reactions of N-arylcarbodiimides with molybdenum carbonyl, Cu- and Rh-catalyzed processes, etc. It has been shown that [5+1] cyclization discussed in the review can be used for preparation of fused pyrimidines, which can bear moieties of annelated isoquinolines, thiazoles, pyridines, pyrazines, triazoles, pyrazoles, etc., apart from the simple ring.Π ΠΎΠ±Π·ΠΎΡΠ΅ Π²ΠΏΠ΅ΡΠ²ΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΈ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠΈΠ½ΡΠ΅Π·Π° ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·Π½ΡΡ
Π·Π°ΠΌΠ΅ΡΠ΅Π½Π½ΡΡ
ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π½ΡΡ
ΠΏΠΈΡΠΈΠΌΠΈΠ΄ΠΈΠ½Π° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ NCNCC+C ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π°. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° ΡΠ΅Π°ΠΊΡΠΈΠΈ ΠΊΠ°ΡΠ±ΠΎΠ½ΠΈΠ»ΡΠ½ΡΡ
ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ Ρ NCNCC Π±ΠΈΠ½ΡΠΊΠ»Π΅ΠΎΡΠΈΠ»Π°ΠΌΠΈ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, N-Π°ΡΠΈΠ»(ΡΠΈΠΎ) ΠΌΠΎΡΠ΅Π²ΠΈΠ½Π°ΠΌΠΈ, ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π½ΡΠΌΠΈ Π°Π½ΠΈΠ»ΠΈΠ½Π° ΠΈ Π°ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΌΠΈΠ½ΠΎΠ², N-Π°ΡΠΈΠ»Π°ΠΌΠΈΠ΄ΠΈΠ½Π°ΠΌΠΈ ΠΈ N-ΠΈΠΌΠΈΠ΄ΠΎΠΈΠ»ΡΠΎΡΡΠΎΡΠ°Π½Π°ΠΌΠΈ. Π₯ΠΎΡΡ Π΄Π°Π½Π½Π°Ρ Π³ΡΡΠΏΠΏΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΠ·Π²Π΅ΡΡΠ½Π° ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π΄Π°Π²Π½ΠΎ, Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ°Π±ΠΎΡ Π² ΡΡΠΎΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΈ ΠΏΠΎΡΠ²ΡΡΠ΅Π½ΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΡΠ³ΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ΅Π°ΠΊΡΠΈΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΡΠΈΠΌΠ΅ΡΠΈΠ»Ρ
Π»ΠΎΡΡΠΈΠ»Π°Π½Π° ΠΈΠ»ΠΈ ΠΏΠΎΠ΄ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ ΠΌΠΈΠΊΡΠΎΠ²ΠΎΠ»Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ. ΠΡΠ΄Π΅Π»ΡΠ½ΠΎ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½Ρ ΡΠΈΠΊΠ»ΠΈΠ·Π°ΡΠΈΠΈ, ΠΊΠ°ΡΠ°Π»ΠΈΠ·ΠΈΡΡΠ΅ΠΌΡΠ΅ ΠΏΠ°Π»Π»Π°Π΄ΠΈΠ΅ΠΌ, Π² ΠΊΠΎΡΠΎΡΡΡ
Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ NCNCC ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ Π²ΡΡΡΡΠΏΠ°ΡΡ N-Π°ΡΠΈΠ»Π°ΠΌΠΈΠ΄ΠΈΠ½Ρ ΠΈ N-Π°ΡΠΈΠ»ΠΊΠ°ΡΠ±ΠΎΠ΄ΠΈΠΈΠΌΠΈΠ΄Ρ, Π° Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π‘βΡΠΎΡΡΠ°Π²Π»ΡΡΠ΅ΠΉ β ΠΌΠΎΠ½ΠΎΠΎΠΊΡΠΈΠ΄ ΡΠ³Π»Π΅ΡΠΎΠ΄Π° ΠΈΠ»ΠΈ ΠΈΠ·ΠΎΠ½ΠΈΡΡΠΈΠ»Ρ. ΠΡΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΡΡ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΠΈ Π±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΠ°ΡΡΡΡ ΡΠ²Π»ΡΡΡΡΡ ΡΡΠ΅Ρ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΡΠΌΠΈ ΡΠ΅Π°ΠΊΡΠΈΡΠΌΠΈ, Π² ΠΊΠΎΡΠΎΡΡΡ
ΡΡΠ°ΡΡΠΈΠ΅ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠΈΠ½ΠΈΠΌΠ°Π΅Ρ Π½ΡΠΊΠ»Π΅ΠΎΡΠΈΠ»ΡΠ½ΡΠΉ ΡΠ΅Π°Π³Π΅Π½Ρ; ΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎ, ΡΠ°ΠΊΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΎΠ±Π»Π°Π΄Π°ΡΡ ΡΡΠ΄ΠΎΠΌ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ² Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·ΠΈΡ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠ°ΠΊΠΆΠ΅ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π°ΠΊΡΠΈΠΈ ΠΊΠ΅ΡΠΈΠΌΠΈΠ½ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°ΠΌΠΈΠ½ΠΎΠ³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΠΎΠ² Ρ ΠΈΠ·ΠΎΡΠΈΠ°Π½Π°ΡΠ°ΠΌΠΈ, ΡΠ΅Π°ΠΊΡΠΈΠΈ N-Π°ΡΠΈΠ»ΠΊΠ°ΡΠ±ΠΎΠ΄ΠΈΠΈΠΌΠΈΠ΄ΠΎΠ² Ρ ΠΊΠ°ΡΠ±ΠΎΠ½ΠΈΠ»ΠΎΠΌ ΠΌΠΎΠ»ΠΈΠ±Π΄Π΅Π½Π°, Cu- ΠΈ Rh-ΠΊΠ°ΡΠ°Π»ΠΈΠ·ΠΈΡΡΠ΅ΠΌΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΈ Ρ. Π΄. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ [5 +1]-ΡΠΈΠΊΠ»ΠΈΠ·Π°ΡΠΈΡ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠΈΡΠΈΠΌΠΈΠ΄ΠΈΠ½ΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅, ΠΊΡΠΎΠΌΠ΅ Π±Π΅Π½Π·ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΄ΡΠ°, ΠΌΠΎΠ³ΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΡ Π°Π½Π½Π΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΠ΄ΡΠ° ΠΈΠ·ΠΎΡ
ΠΈΠ½ΠΎΠ»ΠΈΠ½Π°, ΡΠΈΠ°Π·ΠΎΠ»Π°, ΠΏΠΈΡΠΈΠ΄ΠΈΠ½Π°, ΠΏΠΈΡΠ°Π·ΠΈΠ½Π°, ΡΡΠΈΠ°Π·ΠΎΠ»Π°, ΠΏΠΈΡΠ°Π·ΠΎΠ»Π° ΠΈ Ρ. ΠΏ.Π ΠΎΠ³Π»ΡΠ΄Ρ Π²ΠΏΠ΅ΡΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½Ρ ΡΠ° ΡΠ·Π°Π³Π°Π»ΡΠ½Π΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΡΠΈΠ½ΡΠ΅Π·Ρ ΡΡΠ·Π½ΠΎΠΌΠ°Π½ΡΡΠ½ΠΈΡ
Π·Π°ΠΌΡΡΠ΅Π½ΠΈΡ
ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΎΠ²Π°Π½ΠΈΡ
ΠΏΠΎΡ
ΡΠ΄Π½ΠΈΡ
ΠΏΡΡΠΈΠΌΡΠ΄ΠΈΠ½Ρ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ NCNCC+C ΠΏΡΠ΄Ρ
ΠΎΠ΄Ρ. Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈ, ΡΠΎ Π±Π°Π·ΡΡΡΡΡΡ Π½Π° ΡΠ΅Π°ΠΊΡΡΡ ΠΊΠ°ΡΠ±ΠΎΠ½ΡΠ»ΡΠ½ΠΈΡ
ΡΠΏΠΎΠ»ΡΠΊ Π· NCNCC Π±ΡΠ½ΡΠΊΠ»Π΅ΠΎΡΡΠ»Π°ΠΌΠΈ, Π·ΠΎΠΊΡΠ΅ΠΌΠ°, N-Π°ΡΠΈΠ»(ΡΡΠΎ)ΡΠ΅ΡΠΎΠ²ΠΈΠ½Π°ΠΌΠΈ, ΠΏΠΎΡ
ΡΠ΄Π½ΠΈΠΌΠΈ Π°Π½ΡΠ»ΡΠ½Ρ ΡΠ° Π°ΡΠΎΠΌΠ°ΡΠΈΡΠ½ΠΈΡ
Π³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΡΡΠ½ΠΈΡ
Π°ΠΌΡΠ½ΡΠ², N-Π°ΡΠΈΠ»Π°ΠΌΡΠ΄ΠΈΠ½Π°ΠΌΠΈ ΡΠ° N-ΡΠΌΡΠ΄ΠΎΡΠ»ΡΠΎΡΡΠΎΡΠ°Π½Π°ΠΌΠΈ. Π₯ΠΎΡΠ° ΡΡ Π³ΡΡΠΏΠ° ΠΌΠ΅ΡΠΎΠ΄ΡΠ² Π²ΡΠ΄ΠΎΠΌΠ° Π²ΡΠ΄Π½ΠΎΡΠ½ΠΎ Π΄Π°Π²Π½ΠΎ, Π·Π½Π°ΡΠ½Π° ΠΊΡΠ»ΡΠΊΡΡΡΡ ΡΡΡΠ°ΡΠ½ΠΈΡ
ΡΠΎΠ±ΡΡ Ρ ΡΡΠΎΠΌΡ Π½Π°ΠΏΡΡΠΌΠΊΡ ΠΏΡΠΈΡΠ²ΡΡΠ΅Π½Π° ΡΠΎΠ·ΡΠΎΠ±ΡΡ ΠΌβΡΠΊΠΈΡ
ΡΠΌΠΎΠ² ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΡΠ΅Π°ΠΊΡΡΡ, Π·ΠΎΠΊΡΠ΅ΠΌΠ° Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ ΡΡΠΈΠΌΠ΅ΡΠΈΠ»Ρ
Π»ΠΎΡΠΎΡΠΈΠ»Π°Π½Ρ Π°Π±ΠΎ ΠΏΡΠΈ Π΄ΡΡ ΠΌΡΠΊΡΠΎΡ
Π²ΠΈΠ»ΡΠΎΠ²ΠΎΠ³ΠΎ Π²ΠΈΠΏΡΠΎΠΌΡΠ½Π΅Π½Π½Ρ. ΠΠΊΡΠ΅ΠΌΠΎ ΠΎΠ±Π³ΠΎΠ²ΠΎΡΠ΅Π½Ρ Pd-ΠΊΠ°ΡΠ°Π»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΠΈΠΊΠ»ΡΠ·Π°ΡΡΡ, Ρ ΡΠΊΠΈΡ
ΡΠΊ NCNCC ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΈ Π²ΠΈΡΡΡΠΏΠ°ΡΡΡ N-Π°ΡΠΈΠ»Π°ΠΌΡΠ΄ΠΈΠ½ΠΈ ΡΠ° N-Π°ΡΠΈΠ»ΠΊΠ°ΡΠ±ΠΎΠ΄ΡΡΠΌΡΠ΄ΠΈ, Π° ΡΠΊ Π‘-ΡΠΊΠ»Π°Π΄ΠΎΠ²Π° β ΠΊΠ°ΡΠ±ΠΎΠ½(ΠΠ) ΠΎΠΊΡΠΈΠ΄ Π°Π±ΠΎ ΡΠ·ΠΎΠ½ΡΡΡΠΈΠ»ΠΈ. Π¦Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΎΡΠΎΠ±Π»ΠΈΠ²ΠΎ ΡΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎ ΡΠΎΠ·Π²ΠΈΠ²Π°ΡΡΡΡΡ Π² ΠΎΡΡΠ°Π½Π½Ρ ΡΠΎΠΊΠΈ Ρ Π½Π°ΠΉΡΠ°ΡΡΡΡΠ΅ Ρ ΡΡΠΈΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΈΠΌΠΈ ΡΠ΅Π°ΠΊΡΡΡΠΌΠΈ, Π² ΡΠΊΠΈΡ
Π΄ΠΎΠ΄Π°ΡΠΊΠΎΠ²ΠΎ Π±Π΅ΡΠ΅ ΡΡΠ°ΡΡΡ Π½ΡΠΊΠ»Π΅ΠΎΡΡΠ»ΡΠ½ΠΈΠΉ ΡΠ΅Π°Π³Π΅Π½Ρ; ΠΎΡΠΆΠ΅, ΡΠ°ΠΊΡ ΠΏΡΠΎΡΠ΅ΡΠΈ ΠΌΠ°ΡΡΡ ΡΡΠ΄ ΠΏΠ΅ΡΠ΅Π²Π°Π³ Π· ΡΠΎΡΠΊΠΈ Π·ΠΎΡΡ ΡΡΠ·Π½ΠΎΠΌΠ°ΡΡΡΡ ΡΠΏΠΎΠ»ΡΠΊ, ΡΠΊΡ ΠΌΠΎΠΆΡΡΡ Π±ΡΡΠΈ ΠΎΠ΄Π΅ΡΠΆΠ°Π½Ρ. Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΡ ΡΠ°ΠΊΠΎΠΆ ΡΠ½ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈ, Π·ΠΎΠΊΡΠ΅ΠΌΠ° ΡΠ΅Π°ΠΊΡΡΡ ΠΊΠ΅ΡΡΠΌΡΠ½ΡΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π°ΠΌΡΠ½ΠΎΠ³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΡΠ² Π· ΡΠ·ΠΎΡΡΠ°Π½Π°ΡΠ°ΠΌΠΈ, ΡΠ΅Π°ΠΊΡΡΡ N-Π°ΡΠΈΠ»ΠΊΠ°ΡΠ±ΠΎΠ΄ΡΡΠΌΡΠ΄ΡΠ² Π· ΠΊΠ°ΡΠ±ΠΎΠ½ΡΠ»ΠΎΠΌ ΠΌΠΎΠ»ΡΠ±Π΄Π΅Π½Ρ, Cu- ΡΠ° Rh-ΠΊΠ°ΡΠ°Π»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΡΠΎΡΠ΅ΡΠΈ ΡΠΎΡΠΎ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ [5+1]-ΡΠΈΠΊΠ»ΡΠ·Π°ΡΡΡ Π΄Π°Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΎΠ΄Π΅ΡΠΆΠ°Π½Π½Ρ ΡΡΠ·Π½ΠΈΡ
ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ
ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΎΠ²Π°Π½ΠΈΡ
ΠΏΡΡΠΈΠΌΡΠ΄ΠΈΠ½ΡΠ², ΡΠΊΡ, ΠΎΠΊΡΡΠΌ Π±Π΅Π½Π·Π΅Π½ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΄ΡΠ°, ΠΌΠΎΠΆΡΡΡ ΠΌΡΡΡΠΈΡΠΈ Π°Π½Π΅Π»ΡΠΎΠ²Π°Π½Ρ ΡΠ΄ΡΠ° ΡΠ·ΠΎΡ
ΡΠ½ΠΎΠ»ΡΠ½Ρ, ΡΡΠ°Π·ΠΎΠ»Ρ, ΠΏΡΡΠΈΠ΄ΠΈΠ½Ρ, ΠΏΡΡΠ°Π·ΠΈΠ½Ρ, ΡΡΠΈΠ°Π·ΠΎΠ»Ρ, ΠΏΡΡΠ°Π·ΠΎΠ»Ρ ΡΠΎΡΠΎ
- β¦