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1. |
Record Nr. |
UNINA9910580213903321 |
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Autore |
Nowaczyk Alicja |
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Titolo |
Neurotransmitter-Related Molecular Modeling Studies |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (188 p.) |
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Soggetti |
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Chemistry |
Research & information: general |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This book focuses of the neurotransmission phenomenon. By definition, neurotransmitters are chemicals that enable communication, i.e., the flow of nerve impulses between nerve cells or between nerve cells and muscles and glands. Recently, one can distinguish excitatory and inhibitory mediators, both of which are endo-exogenous compounds that control the function of the whole organism. From a chemical point of view, neurotransmitters belong to many different structural groups, such as amino acids (such as glycine), peptides (such as substance P, somatostatin), monoamines (such as noradrenaline or dopamine), purine derivatives (such as adenosine), gases (such as nitrogen, NO, carbon monoxide CO), and acetylcholine. From a medical point of view, disturbances in the concentration of neurotransmitters in the body result in the occurrence of mental disorders and diseases (such as depression, schizophrenia, Parkinson's disease) and contribute to the occurrence of dementia (including Alzheimer's disease), among other diseases. However, the problem is much wider. These disorders can lead to a number of cardiovascular diseases and can lead to the development of vascular diseases of the brain as well as in many other organs. Therefore, pharmacological intervention is a therapy that tries to interfere with regulatory processes year after year. Such treatments improve survival, reduce the frequency of readmission, and improve patients' quality of life. |
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2. |
Record Nr. |
UNINA9910300258503321 |
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Autore |
Quirk Thomas J |
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Titolo |
Excel 2013 for Environmental Sciences Statistics : A Guide to Solving Practical Problems / / by Thomas J. Quirk, Meghan Quirk, Howard F. Horton |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (XVII, 252 p. 165 illus., 2 illus. in color.) |
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Collana |
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Excel for Statistics, , 2570-4605 |
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Disciplina |
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Soggetti |
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Statistics |
Environmental sciences |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Environmental Science and Engineering |
Math. Appl. in Environmental Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Difference of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- One-Way Analysis of Variance (ANOVA). |
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Sommario/riassunto |
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This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning |
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statistics much easier than in years past. However, Excel 2013 for Environmental Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. . |
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