LEADER 03617nam 2200661 a 450 001 9910464530503321 005 20180216010202.0 010 $a1-4623-5348-7 010 $a1-4527-7168-5 010 $a1-280-89046-0 010 $a1-4518-7928-8 010 $a9786613731777 035 $a(CKB)3360000000438390 035 $a(EBL)1608461 035 $a(SSID)ssj0000949373 035 $a(PQKBManifestationID)11512173 035 $a(PQKBTitleCode)TC0000949373 035 $a(PQKBWorkID)10997652 035 $a(PQKB)10901727 035 $a(OCoLC)535146904 035 $a(MiAaPQ)EBC1608461 035 $a(EXLCZ)993360000000438390 100 $a20090810d2007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDominica$b[electronic resource] $eseventh review under the three-year arrangement under the poverty reduction and growth facility and financing assurances review : staff report, press release on the Executive Board discussion 210 $aWashington, D.C. $cInternational Monetary Fund$d2007 215 $a1 online resource (49 p.) 225 1 $aIMF country report ;$vno. 07/1 300 $aCover title. 300 $a"Prepared by a staff team of the International Monetary Fund as background documentation for the periodic consultation with this member country." 300 $a"January 2007." 311 $a1-4518-1095-4 327 $aCover; Contents; Executive Summary ; I. Background; II. Macroeconomic Outlook and Policy Discussions; A. Fiscal Policies; Text Box; 1. Fiscal Performance and Adjustment in FY 2005/06; B. Debt Restructuring; C. Structural Reforms and Other Issues; III. Staff Appraisal; Annex; I. The Reform of Dominica Social Security; Tables; 1. Selected Economic and Social Indicators; 2. Quantitative Performance Criteria (PC) and Indicative Targets (IT); 3. Structural Benchmarks and Other Structural Reforms; 4. Summary Accounts of the Central Government; 5. Balance of Payments 327 $a6. Summary Accounts of the Banking System 7. Medium-Term Macroeconomic Framework; 8. Public Sector Debt Sustainability Framework, Baseline Scenario 2003-26; 9. Financial and External Vulnerability Indicators; 10. Schedule of Disbursements Under the PRGF Arrangement; 11. Indicators of Capacity to Repay the Fund, 2003-10; Appendices; I. Fund Relations.; II. Relations with the World Bank; III. Relations with the Caribbean Development Bank (CDB); IV. Statistical Issues; Attachments; I. Letter of Intent; II. Supplementary Memorandum of Economic Policies of the Government of Dominica 330 $aIn recent years, the IMF has released a growing number of reports and other documents covering economic and financial developments and trends in member countries. Each report, prepared by a staff team after discussions with government officials, is published at the option of the member country. 410 0$aIMF country report ;$vno. 07/1. 606 $aFiscal policy$zDominica 606 $aDebt relief$zDominica 606 $aStructural adjustment (Economic policy)$zDominica 607 $aDominica$xEconomic conditions 607 $aDominica$xEconomic policy 608 $aElectronic books. 615 0$aFiscal policy 615 0$aDebt relief 615 0$aStructural adjustment (Economic policy) 676 $a338.2689 712 02$aInternational Monetary Fund.$bWestern Hemisphere Dept. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464530503321 996 $aDominica$91144102 997 $aUNINA LEADER 05700nam 2201345z- 450 001 9910557601803321 005 20210501 035 $a(CKB)5400000000045385 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68427 035 $a(oapen)doab68427 035 $a(EXLCZ)995400000000045385 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAssessing Complexity in Physiological Systems through Biomedical Signals Analysis 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (296 p.) 311 08$a3-03943-368-7 311 08$a3-03943-369-5 330 $aComplexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at di?erent scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and medicine with the hope of inspiring future works advancing this fascinating area of research. 606 $aMathematics & science$2bicssc 606 $aResearch & information: general$2bicssc 610 $aaging in human population 610 $aAlzheimer's disease 610 $aapproximate entropy 610 $aautonomic nervous function 610 $aautonomic nervous system 610 $abaroreflex 610 $abaroreflex sensitivity (BRS) 610 $abiomarker 610 $ablood pressure 610 $abrain 610 $abrain dynamics 610 $abrain functional networks 610 $abrain signals 610 $acardiovascular system 610 $acentral autonomic network 610 $acognitive task 610 $acomplexity 610 $acomplexity analysis 610 $aconditional transfer entropy 610 $acorrelation dimension 610 $across-entropy 610 $adata compression 610 $adetrended fluctuation analysis 610 $adigital volume pulse (DVP) 610 $adynamic functional connectivity 610 $aECG 610 $aectopic beat 610 $aentropy 610 $aevent-related de/synchronization 610 $afactor analysis 610 $afetal heart rate 610 $afNIRS 610 $afractal dimension 610 $afragmentation 610 $afuzzy entropy 610 $aheart rate 610 $aheart rate variability 610 $aheart rate variability (HRV) 610 $ahypobaric hypoxia 610 $ainformation dynamics 610 $ainformation flow 610 $ainterconnectivity 610 $aK-means clustering algorithm 610 $alabor 610 $alargest Lyapunov exponent 610 $alinear prediction 610 $amental arithmetics 610 $amotor imagery 610 $amultifractality 610 $amultiscale 610 $amultiscale complexity 610 $amultivariate time series analysis 610 $anetwork physiology 610 $anonlinear analysis 610 $apartial information decomposition 610 $apenalized regression techniques 610 $apercussion entropy index (PEI) 610 $aphoto-plethysmo-graphy (PPG) 610 $aposture 610 $apreterm 610 $arecurrence quantification analysis 610 $arefined composite multiscale entropy 610 $arehabilitation medicine 610 $arelative consistency 610 $aSampen 610 $asample entropy 610 $aself-organized criticality 610 $aself-similarity 610 $asEMG 610 $asingle-channel analysis 610 $aState-space models 610 $astatic functional connectivity 610 $asupport vector machines classification 610 $atime series analysis 610 $avasovagal syncope 610 $avector autoregressive model 610 $avector quantization 610 $aZipf's law 615 7$aMathematics & science 615 7$aResearch & information: general 700 $aCastiglioni$b Paolo$4edt$01319355 702 $aFaes$b Luca$4edt 702 $aValenza$b Gaetano$4edt 702 $aCastiglioni$b Paolo$4oth 702 $aFaes$b Luca$4oth 702 $aValenza$b Gaetano$4oth 906 $aBOOK 912 $a9910557601803321 996 $aAssessing Complexity in Physiological Systems through Biomedical Signals Analysis$93033816 997 $aUNINA