308 research outputs found
ΠΠ°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ΅ ΠΈΠ»ΠΈ ΠΌΠΎΠ½Π΅ΡΠ°ΡΠ½ΠΎΠ΅ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅? ΠΠ²ΠΎΠ»ΡΡΠΈΠΎΠ½Π½ΡΠ΅ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΡ Π² ΠΏΠΎΠ»ΡΠ·Ρ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ ΡΠ΅ΡΠΎΡΠΌ
Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅Ρ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΌΠ΅ΡΠ΄ΠΆΠ΅Π½ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ - ΡΠΈΡΠΊΠ°Π»ΡΠ½ΡΡ
ΠΈ (ΠΈΠ»ΠΈ) ΠΌΠΎΠ½Π΅ΡΠ°ΡΠ½ΡΡ
, Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ²ΠΎΠ»ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΠ»Ρ ΡΡΠΎΠ³ΠΎ Π±ΡΠ»Π° ΠΏΠΎΡΡΡΠΎΠ΅Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ, ΠΈΠΌΠΈΡΠΈΡΡΡΡΠ°Ρ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΊΠΎΡΠ²ΠΎΠ»ΡΡΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΎΠΉ ΠΈ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠ΅ΠΉΡΡ ΡΡΡΠ°Π½, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
ΡΠ΅ΡΠ΅Π· Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΡΠ΅ ΡΠ΅ΠΏΠΎΡΠΊΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ. Π ΡΡΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠ°ΠΆΠ΄Π°Ρ ΠΈΠ· ΡΡΡΠ°Π½ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΠ΅ΡΡΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠΉ ΡΡΡΡΠΊΡΡΡΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΠΌΠΎΠΉ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ-ΡΠ³ΠΎΠΈΡΡΠΎΠ² (ΠΏΡΠ΅Π΄ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½Π½ΡΡ
ΠΊ ΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠ²Π½ΠΎΠΌΡ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ) ΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ-Π°Π»ΡΡΡΡΠΈΡΡΠΎΠ² (ΠΏΡΠ΅Π΄ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½Π½ΡΡ
ΠΊ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠΌΡ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ), Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΠΌ ΠΈ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ² ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΡΡΠΏΠ΅Ρ
ΡΠΎΠ³ΠΎ ΠΈΠ»ΠΈ ΠΈΠ½ΠΎΠ³ΠΎ ΡΠΏΠΎΡΠΎΠ±Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈΠ°Π»ΡΠ½ΠΎ Π·Π°Π²ΠΈΡΠΈΡ ΠΎΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΈΡΡ
ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ. Π ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Π΅ Ρ Β«ΠΏΡΠΎΠ·ΡΠ°ΡΠ½ΡΠΌΠΈΒ» Π΄Π»ΠΈΠ½Π½ΡΠΌΠΈ ΠΏΡΠ°Π²ΠΈΠ»Π°ΠΌΠΈ ΠΈΠ³ΡΡ ΠΈ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ, Π΄Π»ΠΈΠ½Π½ΡΠΌ Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠΎΠΌ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΠΈΠ»ΡΡΡΠΈΠΉ ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ Π² Π²ΠΈΠ΄Π΅ Π²ΡΡΠΎΠΊΠΈΡ
ΡΠ΅ΠΌΠΏΠΎΠ² ΡΠΎΡΡΠ° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠΌΠ΅ΡΠ΄ΠΆΠ΅Π½ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ Π΄Π°Π΅Ρ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ° Π΄Π΅ΡΠ΅Π²ΡΡ
Π΄Π΅Π½Π΅Π³ Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ Π²ΡΡΠΎΠΊΠΈΠΌΠΈ Β«Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΠΌΠΈΒ» Π½Π°Π»ΠΎΠ³Π°ΠΌΠΈ. ΠΠ½Π°Ρ ΡΠΈΡΡΠ°ΡΠΈΡ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Π² Π±ΠΎΠ»Π΅Π΅ ΡΠ΅Π°Π»ΠΈΡΡΠΈΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ Ρ ΠΊΠΎΡΠΎΡΠΊΠΈΠΌΠΈ ΠΏΡΠ°Π²ΠΈΠ»Π°ΠΌΠΈ ΠΈΠ³ΡΡ ΠΈ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ, ΠΊΠΎΡΠΎΡΠΊΠΈΠΌ (Π½Π΅ Π±ΠΎΠ»Π΅Π΅ 5 Π»Π΅Ρ) Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠΎΠΌ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. Π ΡΡΠΎΠΌ ΡΠ»ΡΡΠ°Π΅ Π»ΡΠ±Π°Ρ Π½Π°Π»ΠΎΠ³ΠΎΠ²Π°Ρ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ° (Π½ΠΈΠ·ΠΊΠΈΠ΅ ΠΈΠ»ΠΈ Π²ΡΡΠΎΠΊΠΈΠ΅ Π½Π°Π»ΠΎΠ³ΠΈ) Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Π»ΡΠ±ΡΠΌΠΈ Π΄Π΅Π½ΡΠ³Π°ΠΌΠΈ (Π΄Π΅ΡΠ΅Π²ΡΠΌΠΈ ΠΈΠ»ΠΈ Π΄ΠΎΡΠΎΠ³ΠΈΠΌΠΈ), Π² ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΌ ΡΠΌΡΡΠ»Π΅ ΡΠ΅ΡΡΠ΅Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅, ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΠΈΠ·Π½Π°ΡΠ°Π»ΡΠ½ΠΎ ΠΎΡΡΡΠ°Π»Π°Ρ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π½Π΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π±ΡΡΡΡΠΎ ΠΏΠΎΠ»ΡΡΠ°ΡΡ Π²ΡΡΠΎΠΊΠΈΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ, Π° ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° Π² ΠΎΡΠ΄Π΅Π»Π΅Π½Π½ΠΎΠΌ Π±ΡΠ΄ΡΡΠ΅ΠΌ Π½Π΅ ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡΡΡ Π²ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅. ΠΠΌΠ΅ΡΡΠ΅ Ρ ΡΠ΅ΠΌ, Π΄Π»Ρ ΠΏΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π»ΡΡΡΠ΅ΠΉ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π½ΠΈΠ·ΠΊΠΈΠ΅ Π½Π°Π»ΠΎΠ³ΠΈ ΠΈ Π΄Π΅ΡΠ΅Π²ΡΠ΅ Π΄Π΅Π½ΡΠ³ΠΈ ΠΈΠΌΠ΅ΡΡ Π²Π°ΠΆΠ½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅, ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΡΠΎΠ·Π΄Π°ΡΡ Π»ΡΡΡΠΈΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ Π΄Π»Ρ Π²ΡΠΆΠΈΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉΠ°Π»ΡΡΡΡΠΈΡΡΠΎΠ², ΠΎΠ±Π»Π΅Π³ΡΠ°Ρ ΠΈΠΌ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΡ, ΡΠΏΠΎΡΠΎΠ±Π½ΡΡ ΠΏΡΠΈΠ½Π΅ΡΡΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡΠ°ΡΠ½ΡΠΉ ΠΏΡΠΈΡΠΎΡΡ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. Π Π»ΡΠ±ΠΎΠΌ ΡΠ»ΡΡΠ°Π΅, Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ ΡΠ²ΠΎΠ»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΠΎΡΠΈΠΈ, ΠΈΡΡ
ΠΎΠ΄Ρ ΠΈΠ· ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠΎΠ², Π½Π°Π»ΠΎΠ³ΠΎΠ²Π°Ρ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠΌΠ΅ΡΠ΄ΠΆΠ΅Π½ΡΠ½ΡΡ
ΡΡΠ½ΠΊΠΎΠ² ΡΠΎΡ
ΡΠ°Π½ΡΠ΅Ρ ΡΠ²ΠΎΠΉ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π», ΠΈ, ΡΠ°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΡΠ΅Π±ΡΠ΅Ρ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π³ΠΎ ΡΠ΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ Β«Π½ΠΎΠ²ΠΎΠΉ ΡΠ΅Π°Π»ΡΠ½ΠΎΡΡΠΈΒ», ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΡΡ
ΡΠ΅ΠΏΠΎΡΠΊΠ°Ρ
ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ.The article deals with the problem of substantiation of the emergent economies development regulatory measures (fiscal and / or monetary), using the evolutionary modelling methods. For this purpose, the mathematical model was constructed that simulates the co-evolution process of the advanced and developing countries, linked by global value chains. In this model, each country is characterized by its original structure of economic entities, defined by the ratio of the egoistic enterprises (predisposed to conservative behaviour) to the altruistic enterprises (predisposed to innovation), as well as by specific population and demographic processes. The results of the computational experiments have shown that the success of economic regulation fundamentally depends on the peculiarities of the initial state of the institutional environment. In the institutional environment with the Β«transparentΒ» long behaviour and, accordingly, a long economic planning horizon, the best result in the form of average annual production growth rate of the emergent economies is provided by the cheap money policy combined with the high European taxes. A different situation is observed in more realistic short behaviour and, accordingly, short (under 5 years) economic planning horizon. In this case, any tax policy (neither low nor high taxes) together with any money (neither cheap nor expensive), to a certain extent loses its significance, as the initially backward innovative system does not allow to quickly get good results, and the long-term benefits of the potential economic growth are not taken into consideration. However, low taxes and cheap money are important as they create better conditions for survival of the altruistic enterprises, facilitating their investment activities, which can multiply increase their technical performance and economic efficiency. Still, in the context of the evolutionary economics and following the conducted computational experiments, the fiscal policy in terms of emerging markets retains its regulatory capacity, and therefore requires further reforms in the context of the Β«new realityΒ» based on the global value chains
ARGO: a web system for the detection of degenerate motifs and large-scale recognition of eukaryotic promoters
Reliable recognition of the promoters in eukaryotic genomes remains an open issue. This is largely owing to the poor understanding of the features of the structuralβfunctional organization of the eukaryotic promoters essential for their function and recognition. However, it was demonstrated that detection of ensembles of regulatory signals characteristic of specific promoter groups increases the accuracy of promoter recognition and prediction of specific expression features of the queried genes. The ARGO_Motifs package was developed for the detection of sets of region-specific degenerate oligonucleotide motifs in the regulatory regions of the eukaryotic genes. The ARGO_Viewer package was developed for the recognition of tissue-specific gene promoters based on the presence and distribution of oligonucleotide motifs obtained by the ARGO_Motifs program. Analysis and recognition of tissue-specific promoters in five gene samples demonstrated high quality of promoter recognition. The public version of the ARGO system is available at and
Coherent interactions between phonons and exciton or exciton-polariton condensates
We analyse the interaction of exciton and exciton-polariton condensates in
semiconductor microcavity with a coherent acoustic wave. An analytical solution
for the dispersion of excitations of coupled condensate-phonon system is found
in the approximation of k-independent interactions. Accounting for k-dependence
results in a stronger modification of the dispersion, and even in the
appearance of the "roton instability" region
The use of graphics accelerators to detect functional signals in the regulatory regions of prokaryotic genes
Various methods for identification of significantΒ contextual signals are widely used to search forΒ transcription factor binding sites and to identifyΒ the structural and functional organization of regulatoryΒ regions. These methods do not require anyΒ pre-alignment of the sample sequences analyzedΒ or experimental information about the exactΒ location of transcription factor binding sites.Β Methods of searching for contextual signals, basedΒ on the identification of degenerate oligonucleotideΒ motives recorded in the 15-letter IUPAC code haveΒ become widespread. An essential problem withΒ degenerate motifs is their great diversity, whichΒ makes the researchers apply heuristics which doΒ not guarantee that the most significant signal willΒ be found. The development of high-performanceΒ computing systems based on the use of graphicsΒ cards has made it possible to use the exact exhaustiveΒ methods to identify significant motifs. We haveΒ developed a new system for identifying significantΒ degenerate oligonucleotide motifs of a givenΒ length in the regulatory regions based on the useΒ of widespread graphics cards that provides a searchΒ for the signal with the greatest significance. HighΒ efficiency of the GPU compared with CPU wasΒ demonstrated. Using the proposed approach,Β we analyzed the regulatory regions of B. subtilis,Β E. coli, H. pylori, M. gallisepticum, M. genitalium andΒ M. pneumoniae genes. Sets of degenerate motifsΒ have been identified for each species of prokaryotes.Β They were classified on the basis of similarity withΒ the transcription factor binding sites of E. coli
Multistability of cavity exciton-polaritons affected by the thermally generated exciton reservoir
Until now, the generation of an excitonic reservoir in a cavity polariton
system under quasi-resonant pumping has always been neglected. We show that in
microcavities having a small Rabi splitting (typically GaAs cavities with a
single quantum well), this reservoir can be efficiently populated by
polariton-phonon scattering. We consider the influence of the exciton reservoir
on the energy shifts of the resonantly pumped polariton modes. We show that the
presence of this reservoir effectively reduces the spin anisotropy of the
polariton-polariton interaction, in agreement with recent experimental
measurements, where the multistability of cavity polaritons has been analyzedComment: 7 pages, 6 figure
Surgical Treatment of Giant Cavernous Hemangioma Liver
In the past five years, 16 adults (10 females, age 25β61 years, mean 48) with giant cavernous
hemangioma of the liver measuring 15β31 cm (mean-19) underwent surgery in a single Institution.
Diagnosis was made with the help of multimodal investigationsβ ultrasound (US), computed tomography
(CT), hepatic angiography, hepatic scintigraphy and fine needle biopsy. Ultrasound and CT had
sensitivities of 69% and 82% respectively. Fourteen had preoperative selective hepatic artery embolization
to study its effect on operative blood loss. Indication for surgery in all cases was a large abdominal
mass with varying severity of pain. In addition, 5 had hemetological and/or coagulation abnormalities,
hemobilia in and pyrexia in 1. Seven left lobectomies, 3 left lateral segmentectomies, 2 right
lobectomies, 2 right trisegmentectomies and 4 non-anatomical resections of to 3 segments were
performed. Postoperative complications developed in 25% with no operative mortality. Preoperative
selective hepatic artery embolization helped to decrease the operative hemorrhage in 13 (mean blood
lossβ 1146 ml). In two cases severe bleeding required use of Cell-saver and massive donor blood
transfusion. Our results suggest use of preoperative selective hepatic artery embolization and Cell-saver
as an adjunct to the liver resection for these vascular tumors
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