LEADER 01020nam a2200217 i 4500 001 991001392409707536 005 20020507192638.0 008 960717s1975 ||| ||| | ita 035 $ab10841258-39ule_inst 035 $aLE01311597$9ExL 040 $aDip.to Matematica$beng 100 1 $aConte, Anna Chiara$0536988 245 10$aSu alcuni metodi per il calcolo degli autovalori di matrici reali e simmetriche. Tesi di laurea /$claureanda Anna Chiara Conte ; relat. Maria Laura Leuzzi 260 $aLecce :$bUniversità degli studi. Facoltà di Scienze. Corso di laurea in Matematica,$ca.a. 1975-76 700 1 $aLeuzzi, M. Laura 907 $a.b10841258$b02-04-14$c28-06-02 912 $a991001392409707536 945 $aLE013 TES 1975/76 CON1$g1$i2013000056524$lle013$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10951271$z28-06-02 996 $aSu alcuni metodi per il calcolo degli autovalori di matrici reali e simmetriche. Tesi di laurea$9918935 997 $aUNISALENTO 998 $ale013$b01-01-96$cm$da $e-$feng$gxx $h0$i1 LEADER 01191nam0 22003011i 450 001 UON00278766 005 20231205103827.977 010 $a08-968024-8-5 100 $a20060615d2006 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aEmpire in Africa$eAngola and its neighbors$fDavid Birmingham 210 $aAthens$cOhio University Press$dc2006 215 $ax, 190 p., [1] c. geogr. $d22 cm 410 1$1001UON00280404$12001 $aOhio University Research in International Studies. Africa series$v84 606 $aAngola$xStoria$3UONC021532$2FI 606 $aCOLONIALISMO PORTOGHESE$3UONC014060$2FI 620 $aUS$dAthens, Georgia$3UONL003571 676 $a325.34669$cColonialismo portoghese$v21 700 1$aBIRMINGHAM$bDavid$3UONV045117$0242961 712 $aOhio University Press$3UONV249377$4650 801 $aIT$bSOL$c20250530$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00278766 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI ST 437 $eSI AA 28083 5 437 996 $aEmpire in Africa$91246468 997 $aUNIOR LEADER 06396nam 22006615 450 001 9910736994103321 005 20251008153705.0 010 $a3-031-28012-1 024 7 $a10.1007/978-3-031-28012-2 035 $a(MiAaPQ)EBC30611285 035 $a(Au-PeEL)EBL30611285 035 $a(DE-He213)978-3-031-28012-2 035 $a(PPN)272260843 035 $a(CKB)27279096400041 035 $a(OCoLC)1388637252 035 $a(EXLCZ)9927279096400041 100 $a20230628d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19 /$fedited by Paul C. Guest 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (503 pages) 225 1 $aProteomics, Metabolomics, Interactomics and Systems Biology,$x2730-6224 ;$v1412 311 08$a3-031-28014-8 311 08$a3-031-28011-3 327 $aChapter 1. The COVID-19 Pandemic: SARS-CoV-2 Structure, Infection, Transmission, Symptomology and Variants of Concern -- Chapter 2. Long-term Vaccination and Treatment Strategies for COVID-19 Disease and Future Coronavirus Pandemics -- Chapter 3. Consequences of the Lockdown - Domestic Violence during the COVID-19 Pandemic -- Chapter 4. Psychological distress impact of Coronavirus disease (COVID-19) outbreak on three continents: A systematic review and meta-analysis -- Chapter 5. A Molecular Biomarker-based Triage Approach for Targeted Treatment of Post-COVID-19 Syndrome Patients with Persistent Neurological or Neuropsychiatric Symptoms -- Chapter 6. Genetic Associations with Coronavirus Susceptibility and Disease Severity -- Chapter 7. COVID Diagnostics: from Molecules to Omics -- Chapter 8. Assessing Biomarkers in Viral Infection -- Chapter 9. Proteomic Investigation of COVID-19 Severity During the Tsunamis Second Wave in Mumbai -- Chapter 10. NMR-Metabolomics in COVID-19 Research -- Chapter 11. Potential Biomarkers of Mitochondrial Dysfunction Associated with COVID-19 Infection -- Chapter 12. Red Cell Distribution Width as a Prognostic Indicator for Mortality and ICU Admission in Patients with COVID-19 -- Chapter 13. Predicting the COVID-19 Patients Status using Chest CT Scan Findings: A Risk Assessment Model Based on Decision Tree Analysis -- Chapter 14. Inferring Recombination Events in SARS-CoV-2 Variants In Silico -- Chapter 15. Amplicon-based Nanopore Sequencing of Patients Infected by the SARS-CoV-2 Omicron (B.1.1.529) Variant in India -- Chapter 16. Perspectives on Rapid Antigen Tests for Downstream Validation and Development of Theranostics -- Chapter 17. Machine Learning and COVID-19: Lessons from SARS-CoV-2 -- Chapter 18. The Relationship between Psoriasis, COVID-19 Infection and Vaccination during Treatment of Patients -- Chapter 19. Immunogenicity of Inactivated SARS-CoV-2 Vaccine (BBIBP-CorV; Sinopharm) and Short-term Clinical Outcomes in Vaccinated Solid Organ Transplant Recipients: A Prospective Cohort Study -- Chapter 20. Spices and Biomarkers of COVID-19: A Mechanistic and Therapeutic Perspective -- Chapter 21. Antiviral Mechanisms of Curcumin and its Derivatives in Prevention and Treatment of COVID-19: A review -- Chapter 22. Evaluation of Curcumin-Piperine Supplementation in COVID-19 Patients Admitted to the Intensive Care: A Double-Blind, Randomized Controlled Trial -- Chapter 23. Chronobiological Efficacy of Combined Therapy of Pelargonium Sidoides and Melatonin in Acute and Persistent Cases of COVID-19: A Hypothetical Approach -- Chapter 24. The Potential Effect of Royal Jelly on Biomarkers Related to COVID-19 Infection and Severe Progression -- Chapter 25. Statins: Beneficial Effects in Treatment of COVID-19 -- Chapter 26. Multiplex Immunoassay Approaches Using Luminex® xMAP® Technology for the Study of COVID-19 Disease -- Chapter 27. Rapid Detection of SARS-CoV-2 Variants of Concern by Genomic Surveillance Techniques. 330 $aThe COVID-19 pandemic caused by the SARS-CoV-2 virus has affected nearly every country and territory in the world. Although worldwide vaccination efforts have reduced the risk of serious disease outcomes, disparities in distribution have led to multiple waves of SARS-CoV-2 outbreaks and the emergence of variants of concern, some of which have enhanced infectivity and ability to evade existing vaccines. Hence there is an increasing interest in understanding the evolution of viruses like SARS-CoV-2, as well as improving our capacity to effectively current and manage future pandemics. This new volume reviews the most effective omic techniques for increasing our understanding of COVID-19, to improve diagnostics, prognostics, and genomic surveillance, and to facilitate development of effective treatments and vaccines. Chapters are written by an international team of experts and explore methods in the areas of genomics, transcriptomics, proteomics, and metabolomics. Techniques used toassess physiological function at the molecular level and artificial intelligence approaches used for more effective validation and translation of biomarker candidates into clinical use are also discussed. This book is an excellent resource for researchers studying biomarkers, virology, metabolic diseases, and infectious diseases, as well as clinical scientists, physicians, drug company scientists, and healthcare workers. 410 0$aProteomics, Metabolomics, Interactomics and Systems Biology,$x2730-6224 ;$v1412 606 $aBiochemical markers 606 $aProteins 606 $aMetabolism 606 $aGenomics 606 $aBiomarkers 606 $aProteins 606 $aMetabolism 606 $aGenomics 615 0$aBiochemical markers. 615 0$aProteins. 615 0$aMetabolism. 615 0$aGenomics. 615 14$aBiomarkers. 615 24$aProteins. 615 24$aMetabolism. 615 24$aGenomics. 676 $a614.5924144 676 $a614.5924144 700 $aGuest$b Paul C$027409 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736994103321 996 $aApplication of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19$93427785 997 $aUNINA