922 research outputs found
Uncertainties and shortcomings of ground surface temperature histories derived from inversion of temperature logs
Analysing borehole temperature data in terms of ground surface history can
add useful information to reconstructions of past climates. Therefore, a
rigorous assessment of uncertainties and error sources is a necessary
prerequisite for the meaningful interpretation of such ground surface
temperature histories. This study analyses the most prominent sources of
uncertainty. The diffusive nature of the process makes the inversion relatively
robust against incomplete knowledge of the thermal diffusivity. Similarly the
influence of heat production is small. It turns out that for investigations of
the last 1000 to 100000 years the maximum depth of the temperature log is
crucial. More than 3000 m are required for an optimal inversion.
Reconstructions of the last one or two millennia require only modestly deep
logs (>300 m) but suffer severely from noisy data.Comment: 28 pages, 18 figure, 3 table
Anemia Control in Kidney Transplant Recipients Using Once-Monthly Continuous Erythropoietin Receptor Activator: A Prospective, Observational Study
In a multicenter, prospective, observational study of 279 kidney transplant recipients with anemia, the efficacy and safety of once-monthly continuous erythropoietin receptor activator (C.E.R.A.) were assessed to a maximum of 15 months. The main efficacy variable was the proportion of patients achieving a hemoglobin level of 11-12βg/dL at each of visits between months 7 and 9. At study entry, 224 patients (80.3%) were receiving erythropoiesis stimulating agent (ESA) therapy including darbepoetin alfa (98), epoetin beta (61), and C.E.R.A. (45). The mean (SD) time between C.E.R.A. applications was 34.0 (11.9) days. Among 193 patients for whom efficacy data were available, mean (SD) hemoglobin was 11.1 (0.99)βg/dL at study entry, 11.5 (1.1)βg/dL at month 7, 11.6 (1.3)βg/dL at month 9, and 11.4 (1.1)βg/dL at month 15. During months 7β9, 20.7% of patients had all hemoglobin values within the range 11-12βg/dL and 64.8% were within 10β13βg/dL. Seven patients (2.5%) discontinued C.E.R.A. due to adverse events or serious adverse events. In this observational trial under real-life conditions, once-monthly C.E.R.A. therapy achieved stable hemoglobin levels in stable kidney transplant recipients with good tolerability, and with no requirement for any dose change in 43% of patients
Thermal Conductivity from Core and Well log Data
The relationships between thermal conductivity and other petrophysical
properties have been analysed for a borehole drilled in a Tertiary Flysch
sequence. We establish equations that permit us to predict rock thermal
conductivity from logging data. A regression analysis of thermal conductivity,
bulk density, and sonic velocity yields thermal conductivity with an average
accuracy of better than 0.2 W/(m K). As a second step, logging data is used to
compute a lithological depth profile, which in turn is used to calculate a
thermal conductivity profile. From a comparison of the conductivity-depth
profile and the laboratory data it can be concluded that thermal conductivity
can be computed with an accuracy of less than 0.3 W/(m K)from conventional
wireline data. The comparison of two different models shows that this approach
can be practical even if old and incomplete logging data is used. The results
can be used to infer thermal conductivity for boreholes without appropriate
core data that are drilled in a similar geological setting.Comment: 18 pages, 9 figure, 3 table
ΠΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡ Π±ΡΠΎΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΠ³ΠΎ ΠΎΠ΄Π΅ΡΠΆΠ°Π½Π½Ρ Π»ΡΠΏΠΎΡΠΎΠΌΠ°Π»ΡΠ½ΠΎΡ ΡΠΎΡΠΌΠΈ Π΄ΠΎΠΊΡΠΎΡΡΠ±ΡΡΠΈΠ½Ρ Π³ΡΠ΄ΡΠΎΡ Π»ΠΎΡΠΈΠ΄Ρ
ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΠΠΠ£ "ΠΡΠ»ΡΠΊΡΠΊΠ°Ρ Π‘ΠΠ¨"
Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π² ΠΠΠΠ£ "ΠΡΠ»ΡΠΊΡΠΊΠ°Ρ Π‘ΠΠ¨". Π ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΌΡΠ½ΠΈΡΠΈΠΏΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ°, ΡΠ΅Π°Π»ΠΈΠ·ΡΡΡΠ°Ρ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ ΡΡΠ½ΠΊΡΠΈΠΈ: ΡΡΠ΅Ρ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°; ΡΡΠ΅Ρ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ ΡΡΠ΅Π±Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°; ΡΡΠ΅Ρ ΠΈ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ; ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΡΡΡΠ΄Π½ΠΈΠΊΠ°ΠΌΠΈ Π‘ΠΠ¨.The purpose of the work is the creation of an information system for supporting the educational process in the MBGEI "Arlyukskaya MSGE". In the process of research, the study of the specifics of the activity of the educational organization was conducted. Theoretical analysis, design and development of the information system were carried out. As a result of the research, an information system has been developed that implements the following functions: accounting of participants in the educational process; accounting of educational process documentation; accounting and analysis of indicators of educational activities; support for the relationship between the staff of the school
Clusters as a basic of improving the economic competitiveness
World practice shows that support of high-technological clusters development is the important constituent of the innovative activity. It`s proved that creation of the such clusters in different countries leads to a considerable progress at development fields and regions, which were at unfavorable economic state. This article explains what a cluster is and how can help Π° cluster policy of Russia to increase national and regional competitiveness.ΠΠΈΡΠΎΠ²Π°Ρ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ° ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ, ΡΡΠΎ Π²Π°ΠΆΠ½ΠΎΠΉ ΡΠΎΡΡΠ°Π²Π»ΡΡΡΠ΅ΠΉ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ Π°ΠΊΡΠΈΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²ΡΡΠΎΠΊΠΎΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ½ΡΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠΎΠ². ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΠ°ΠΊΠΈΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠΎΠ² Π² ΡΠ°Π·Π½ΡΡ
ΡΡΡΠ°Π½Π°Ρ
ΠΏΡΠΈΠ²Π΅Π»ΠΎ ΠΊ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΌ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡΠΌ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΎΡΡΠ°ΡΠ»Π΅ΠΉ ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ², ΡΠ°Π½Π΅Π΅ Π½Π°Ρ
ΠΎΠ΄ΠΈΠ²ΡΠΈΡ
ΡΡ Π² Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΠΎΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΈ. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ, ΡΡΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ ΠΊΠ»Π°ΡΡΠ΅Ρ ΠΈ ΠΊΠ°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΠΌΠΎΠΆΠ΅Ρ ΠΏΠΎΠΌΠΎΡΡ Π ΠΎΡΡΠΈΠΈ Π² ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠ²Π½Ρ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ
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