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Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance
Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance
Autore Krzywanski Jaroslaw
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (260 p.)
Soggetto topico Industrial chemistry and chemical engineering
Technology: general issues
Soggetto non controllato additives
adsorption
adsorption chiller
adsorption cooling
adsorption working pairs
adsorptive water harvesting from the atmosphere
CFD
chiller
coated beds
coefficient of performance
comparative analysis
copper
cycle time
dead state
deep learning
desalination
energy efficiency
exergy
kinetics sorption
Long Short-Term Memory (LSTM)
low-temperature heat
mass recovery
metal organic silica
metal-organic frameworks
MIL-160
n/a
nanocomposites
natural refrigerants
neural networks
preheating
reheat cycle, mass recovery
SAPO-34
silica gel
sorption
sorption capacity
sorption process time
sorption processes
specific cooling power
specific energy consumption
specific water productivity
steam
thermal diffusivity
variable mode
waste heat recovery
water vapor adsorption
zeolite
ISBN 3-0365-5914-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Adsorption Desalination and Cooling Systems
Record Nr. UNINA-9910637784303321
Krzywanski Jaroslaw  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods for the Analysis of Genomic Data and Biological Processes
Computational Methods for the Analysis of Genomic Data and Biological Processes
Autore Gómez Vela Francisco A
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (222 p.)
Soggetto topico Biology, life sciences
Research & information: general
Soggetto non controllato binding sites
bioinformatics
bioinformatics analysis
CAMTA1
cancer
CBF
chilling stress
Chou's 5-steps rule
chromatin interactions
classification
clustering
computational biology
computational intelligence
Convolution Neural Network (CNN)
CRISPR-Cas9
data mining
deep learning
differential genes expression
differentiation
DNA methylation
DNA N6-methyladenine
DREB
ensembles
eQTL
exercise
fine-mapping
gene co-expression network
Gene Ontology
gene-set enrichment
genome architecture
genomics
hepatocellular carcinoma
HIGD2A
high-fat diet
hypoxia
immune response
infiltration
infiltration tactics optimization algorithm
Long Short-Term Memory (LSTM)
machine learning
machine-learning
meta-analysis
methylation
microarray
miRNA
mRNA expression
murine coronavirus
n/a
obesity
pathway
pathways
potential therapeutic targets
power
prediction
proteomics
quercetin
Reactome Pathways
RNA N6-methyladenosine site
single-cell clone
systems biology
text mining
transcription factor
transcriptomics
viral infection
yeast genome
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557129603321
Gómez Vela Francisco A  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui