LEADER 05378nam 2201273z- 450 001 9910566470103321 005 20220506 035 $a(CKB)5680000000037679 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81030 035 $a(oapen)doab81030 035 $a(EXLCZ)995680000000037679 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aA Themed Issue in Honor of Professor Raphael Mechoulam: The Father of Cannabinoid and Endocannabinoid Research 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (236 p.) 311 08$a3-0365-3006-1 311 08$a3-0365-3007-X 330 $aDuring the last 60 years the relevance of cannabis (Cannabis sativa or Cannabis indica) ingredients, like the psychoactive ?9-tetrahydrocannabinol (THC), cannabidiol, 120+ additional cannabinoids and 440+ non-cannabinoid compounds, for human health and disease has become apparent. Approximately 30 years after the elucidation of THC structure the molecular reasons for the biological activity of these plant extracts were made clearer by the discovery of endocannabinoids, that are endogenous lipids able to bind to the same receptors activated by THC. Besides endocannabinoids, that include several N-acylethanolamines and acylesters, a complex array of receptors, metabolic enzymes, transporters (transmembrane, intracellular and extracellular carriers) were also discovered, and altogether they form a so-called "endocannabinoid system" that has been shown to finely tune the manifold biological activities of these lipid signals. Both plant-derived cannabinoids and endocannabinoids were first discovered by the group led by Prof. Dr. Raphael Mechoulam, who has just celebrated his 90th birthday and clearly stood out as a giant of modern science. The many implications of his seminal work for chemistry, biochemistry, biology, pharmacology and medicine are described in this special issue by the scientists who reached during the last 20 years the highest recognition in the field of (endo)cannabinoid research, receiving the Mechoulam Award for their major contributions. I thank them for having accepted my invitation to be part of this honorary issue of Molecules, and Raphi for continuing to illuminate our field with his always inspiring investigations and new ideas. 517 $aThemed Issue in Honor of Professor Raphael Mechoulam 606 $aBiochemistry$2bicssc 606 $aBiology, life sciences$2bicssc 606 $aResearch and information: general$2bicssc 610 $a4'-fluoro-cannabidiol 610 $a6-hydroxydopamine 610 $aalcohol craving 610 $aallodynia 610 $aaminoalkylindole 610 $aamyotrophic lateral sclerosis 610 $aanandamide 610 $aanti-CB1 antibody 610 $aanti-inflammatory 610 $aantinociception 610 $abiased signaling 610 $acannabichromene 610 $acannabidiolic acid 610 $acannabidivarin 610 $acannabidivarinic acid 610 $acannabigerol 610 $acannabinoid 610 $acannabinoid receptor 610 $acannabinoid receptor 2 (CB2R) 610 $acannabinoid tetrad 610 $acannabinoids 610 $acatalepsy 610 $aCB1 610 $aCB1 receptor antagonist 610 $acholesterol 610 $achromenopyrazole 610 $aCP55940 610 $adrinking in the dark 610 $aelevated plus maze 610 $aendocannabinoid 610 $aequilibrative nucleoside transporter 610 $afrontal cortex 610 $afunctional selectivity 610 $aG-protein 610 $aghrelin 610 $aGPR55 receptors 610 $agut microbiome 610 $ahippocampus 610 $aHUF-101 610 $ahybrid ligand 610 $ainflammaging 610 $aiNOS inhibitor 610 $aintestine 610 $aintracerebroventricular administration 610 $aJWH-018 610 $aK2 610 $aLEAP2 610 $alipofuscin 610 $alipopolysaccharide 610 $amarble bury 610 $amemory 610 $amicroglia 610 $aMRI-1867 610 $amSOD1 mice 610 $aN-acyltransferase 610 $an/a 610 $aobesity 610 $aParkinson's disease 610 $aphospholipase A2 610 $aphytocannabinoids 610 $aPPARs 610 $apravadoline 610 $arescue model 610 $arimonabant 610 $aspice 610 $asynaptosomes 610 $aTDP-43 transgenic mice 610 $atetrahydrocannabivarin 610 $atwo-bottle paradigm 610 $atype 1 cannabinoid receptor CB1 610 $aVCE-006.1 610 $aWIN55212-2 610 $a?-arrestin 615 7$aBiochemistry 615 7$aBiology, life sciences 615 7$aResearch and information: general 700 $aMaccarrone$b Mauro$4edt$0313277 702 $aMaccarrone$b Mauro$4oth 906 $aBOOK 912 $a9910566470103321 996 $aA Themed Issue in Honor of Professor Raphael Mechoulam: The Father of Cannabinoid and Endocannabinoid Research$93033960 997 $aUNINA LEADER 01327nam0 22003493i 450 001 UBO1594784 005 20251003044421.0 010 $a0387953000 010 $a9781441929433 100 $a20141016d2002 ||||0itac50 ba 101 | $aeng 102 $aus 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aˆA ‰short course on spectral theory$fWilliam Arveson 210 $aNew York [etc.]$cSpringer$d2002 215 $aX, 135 p.$d24 cm. 225 | $aGraduate texts in mathematics$v209 410 0$1001RAV0001838$12001 $aGraduate texts in mathematics$v209 606 $aTeoria spettrale$2FIR$3UFIC016614$9E 676 $a515$9ANALISI MATEMATICA$v14 676 $a515.7222$9ANALISI FUNZIONALE. TEORIA SPETTRALE E TEORIA DELLA RAPPRESENTAZIONE$v22 700 1$aArveson$b, William$f <1934-2011>$3PUVV022566$4070$044441 790 1$aArveson$b, William B.$3MILV258906$zArveson, William <1934-2011> 801 3$aIT$bIT-000000$c20141016 850 $aIT-BN0095 901 $bNAP 01$cSALA DING $n$ 912 $aUBO1594784 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01SALA DING 515 ARV.sh$e 0102 0000099225 VMA A4 1 v.$fY $h20141014$i20141016 977 $a 01 996 $aShort course on spectral theory$9103040 997 $aUNISANNIO LEADER 04421nam 22007695 450 001 9910300107003321 005 20200705020725.0 010 $a3-319-70953-4 024 7 $a10.1007/978-3-319-70953-6 035 $a(CKB)4100000002892111 035 $a(DE-He213)978-3-319-70953-6 035 $a(MiAaPQ)EBC5595257 035 $a(PPN)225550938 035 $a(EXLCZ)994100000002892111 100 $a20180331d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCombinatorial Matrix Theory /$fby Richard A. Brualdi, Ángeles Carmona, P. van den Driessche, Stephen Kirkland, Dragan Stevanovi? ; edited by Andrés M. Encinas, Margarida Mitjana 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2018. 215 $a1 online resource (XI, 219 p.) 225 1 $aAdvanced Courses in Mathematics - CRM Barcelona,$x2297-0304 311 $a3-319-70952-6 320 $aIncludes bibliographical references. 327 $aSome combinatorially defined matrix class -- Sign pattern matrices -- The spectral radius of a graph -- The group inverse of the Laplacian matrix of a graph -- Boundary value problems on finite networks. 330 $aThis book contains the notes of the lectures delivered at an Advanced Course on Combinatorial Matrix Theory held at Centre de Recerca Matemàtica (CRM) in Barcelona. These notes correspond to five series of lectures. The first series is dedicated to the study of several matrix classes defined combinatorially, and was delivered by Richard A. Brualdi. The second one, given by Pauline van den Driessche, is concerned with the study of spectral properties of matrices with a given sign pattern. Dragan Stevanovi? delivered the third one, devoted to describing the spectral radius of a graph as a tool to provide bounds of parameters related with properties of a graph. The fourth lecture was delivered by Stephen Kirkland and is dedicated to the applications of the Group Inverse of the Laplacian matrix. The last one, given by Ángeles Carmona, focuses on boundary value problems on finite networks with special in-depth on the M-matrix inverse problem. 410 0$aAdvanced Courses in Mathematics - CRM Barcelona,$x2297-0304 606 $aCombinatorial analysis 606 $aMatrix theory 606 $aAlgebra 606 $aPotential theory (Mathematics) 606 $aDifferential equations 606 $aProbabilities 606 $aCombinatorics$3https://scigraph.springernature.com/ontologies/product-market-codes/M29010 606 $aLinear and Multilinear Algebras, Matrix Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M11094 606 $aPotential Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M12163 606 $aOrdinary Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12147 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aCombinatorial analysis. 615 0$aMatrix theory. 615 0$aAlgebra. 615 0$aPotential theory (Mathematics) 615 0$aDifferential equations. 615 0$aProbabilities. 615 14$aCombinatorics. 615 24$aLinear and Multilinear Algebras, Matrix Theory. 615 24$aPotential Theory. 615 24$aOrdinary Differential Equations. 615 24$aProbability Theory and Stochastic Processes. 676 $a512.9434 700 $aBrualdi$b Richard A$4aut$4http://id.loc.gov/vocabulary/relators/aut$040965 702 $aCarmona$b Ángeles$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $avan den Driessche$b P$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKirkland$b Stephen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aStevanovi?$b Dragan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aEncinas$b Andrés M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMitjana$b Margarida$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300107003321 996 $aCombinatorial matrix theory$9911331 997 $aUNINA