Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
  • General Material Designation
    See More
  • Location
  • Language
Found 54 from your keywords: author=Lorenz
First Page Previous 6
cover
Gasotransmitters in Plants
Comment Share
LAMATTINA,Lorenzo (e.)

This book describes the three gasotransmitters nitric oxide (NO), hydrogen sulphide (H2S) and carbon monoxide (CO) and their function as intracellular signalling molecules in plants. Common properties are shared by NO, H2S and CO: they are beneficial at low concentrations but hazardous in higher amounts; they are small molecules of gas; they can freely cross cell membranes; their effects do …

Edition
-
ISBN/ISSN
978-3-319-40711-1
Collation
-
Series Title
-
Call Number
660.043
cover
Mental Health Practice in a Digital World:A Clinicians Guide
Comment Share
DEWAN, Naakesh A.LUO,John S.LORENZI, Nancy M.

The purpose of the Mental Health Practice in a Digital World: A Clinicians Guide book is to prepare clinicians to understand, critically evaluate, and embrace well-designed and validated technologies that have the potential of transforming the access, affordability, and accountability of mental healthcare. The reader will become aware of the practical applications of technology in mental health…

Edition
1
ISBN/ISSN
978-3-319-14108-4
Collation
XII, 228
Series Title
Health Informatics
Call Number
-
cover
Modeling Binary Correlated Responses using SAS, SPSS and R
Comment Share
WILSON, Jeffrey R.LORENZ, Kent A.

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related resear…

Edition
1
ISBN/ISSN
978-3-319-23804-3
Collation
XXIII, 264
Series Title
ICSA Book Series in Statistics
Call Number
-
cover
Stochastic mobility models in space and time
Comment Share
Lorenzo Valerio

An interesting fact in nature is that if we observe agents (neurons, particles, animals, humans) behaving,or more precisely moving, inside their environment, we can recognize – tough at different space or time scales – very specific patterns. The existence of those patterns is quite obvious, since not all things in nature behave totally at random, especially if we take into account thinking…

Edition
-
ISBN/ISSN
9788867050710
Collation
-
Series Title
-
Call Number
-
First Page Previous 6