00825cam0 2200253 450 E60020006088320210111090059.020100303d1968 |||||ita|0103 baitaITEpistolario filosoficoAntonio Rosminicur. Giulio BonafedeTrapaniCalebes1968VI, 844 p.24 cmRosmini, AntonioA600200037273070303763Bonafede, GiulioA600200056640070ITUNISOB20210111RICAUNISOBUNISOB10069432E600200060883M 102 Monografia moderna SBNM100007359Si69432acquistopregresso1UNISOBUNISOB20100303075834.020210111090048.0AlfanoEpistolario filosofico220270UNISOB01033nam0 22002651i 450 UON0030578320231205104031.24407-432-1532-X20071217d2003 |0itac50 baengUS|||| ||||| Ending the Vietnam Wara history of America's involvement in and extrication from the Vietnam WarHenry KissingerNew York [etc.]Simon & Schuster2003635 p.23 cm.VIETNAMStati Uniti -GuerraUONC037860FIUSNew YorkUONL000050KISSINGERHenry A.UONV104003410787Simon & SchusterUONV251148650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00305783SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI IV POL A 2093 SI SC 43250 5 2093 Ending the Vietnam War1377904UNIOR04444nam 2201045z- 450 991055738870332120220111(CKB)5400000000042011(oapen)https://directory.doabooks.org/handle/20.500.12854/76366(oapen)doab76366(EXLCZ)99540000000004201120202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSingle Cell AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (254 p.)3-0365-0628-4 3-0365-0629-2 Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits.Biology, life sciencesbicsscResearch & information: generalbicsscartificial intelligencebiomedical applicationscardiomyocytescell heterogeneitycholestatic liver injurycirculating tumor cellscluster analysiscommercializationconventional approachescopy number alterationsdiagnosticselectrophysiological recordinggenomehepatocyte heterogeneityimmunofluorescenceimmunohistochemistryinfectious diseaseinflammationisolationlaser microdissectionliver tissue repairlocalized high-risk prostate cancermappingmicro/nanofluidic devicesmicroelectrode arraymicrofluidic technologiesmicrofluidicsmonoclonal cell linesn/anon-small cell lung cancerpathophysiologyprecision medicineproteinprotein characterizationproteomicsRNA velocitysarcomaseuratsingle cellsingle cell mass cytometrysingle cell proteomicssingle-cell analysissingle-cell cloningsingle-cell RNA sequencingsingle-neuron modelssnRNA-seqsomatic single nucleotide variantstherapeuticstherapythree-dimensional (3-D) telomere profilingthree-dimensional tissue culturetotal mRNA leveltranscriptome sizetransfectionwhole-exome genome sequencingBiology, life sciencesResearch & information: generalSantra Tuhin Subhraedt1311916Tseng Fan-GangedtSantra Tuhin SubhraothTseng Fan-GangothBOOK9910557388703321Single Cell Analysis3030556UNINA