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Swiss Public Administration

Authors: --- --- --- --- et al.
Book Series: Governance and Public Management ISBN: 9783319923819 Year: Pages: 384 DOI: 10.1007/978-3-319-92381-9 Language: English
Publisher: Springer Nature
Subject: Economics --- Political Science
Added to DOAB on : 2020-02-05 11:21:19
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Swiss citizens approve of their government and the way democracy is practiced; they trust the authorities and are satisfied with the range of services Swiss governments provide. This is quite unusual when compared to other countries. This open access book provides insight into the organization and the functioning of the Swiss state. It claims that, beyond politics, institutions and public administration, there are other factors which make a country successful. The authors argue that Switzerland is an interesting case, from a theoretical, scientific and a more practice-oriented perspective. While confronted with the same challenges as other countries, Switzerland offers different solutions, some of which work astonishingly well.

Reforms, Organizational Change and Performance in Higher Education

Authors: --- --- ---
ISBN: 9783030117382 Year: Pages: 326 DOI: 10.1007/978-3-030-11738-2 Language: English
Publisher: Springer Nature
Subject: Political Science --- Education
Added to DOAB on : 2020-02-05 11:21:10
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This open access book investigates the effects of changes in leadership and managerial structures of Nordic universities resulting from reforms in the last decade. It builds on a rich, comparative dataset across a multiplicity of system-wide (macro) and organisational (meso and micro) dimensions, namely: reform or policy initiatives; drivers, aims, instruments and actors; structural changes within universities; strategic and performance management; the rise of accountability regimes; incentive and evaluative systems; and perceived changes/effects by the key actors involved, at various levels. The volume provides critical insights to the larger phenomenon of change and adaptation within the public sector. Its findings and implications are of relevance to social science researchers, policy makers, managers/administrators, and external stakeholders.

Women’s Lived Landscapes of War and Liberation in Mozambique

Author:
ISBN: 9780367252472 Year: Pages: 278 Language: English
Publisher: Taylor & Francis
Subject: History
Added to DOAB on : 2020-02-06 11:21:03
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This book tells the history of the changing gendered landscapes of northern Mozambique from the perspective of women who fought in the armed struggle for national independence, diverting from the often-told narrative of women in nationalist wars that emphasizes a linear plot of liberation. Taking a novel approach in focusing on the body, senses, and landscape, Jonna Katto, through a study of the women ex-combatants’ lived landscapes, shows how their life trajectories unfold as nonlinear spatial histories. This brings into focus the women’s shifting and multilayered negotiations for personal space and belonging. This book explores the life memories of the now aging female ex-combatants in the province of Niassa in northern Mozambique, looking at how the female ex-combatants’ experiences of living in these northern landscapes have shaped their sense of socio-spatial belonging and attachment. It builds on the premise that individual embodied memory cannot be separated from social memory; personal lives are culturally shaped. Thus, the book does not only tell the history of a small and rather unique group of women but also speaks about wider cultural histories of body-landscape relations in northern Mozambique and especially changes in those relations. Enriching our understanding of the gendered history of the liberation struggle in Mozambique and informing broader discussions on gender and nationalism, this book will be of interest to students and scholars of African history, especially the colonial and postcolonial history of Lusophone Africa, as well as gender/women’s history and peace and conflict studies.

Chemical Biology of Sterols, Triterpenoids and Other Natural Products: A Themed Issue in Honor of Professor W. David Nes on the Occasion of His 65th Birthday

Authors: ---
ISBN: 9783038974161 9783038974178 Year: Pages: 256 DOI: 10.3390/books978-3-03897-417-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Biochemistry
Added to DOAB on : 2019-06-26 08:44:06
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Sterols and other isoprenoids are of great interest for their molecular structure and function in cell architecture and evolution, as well as for their importance in medicine and agriculture. Molecules’ 2019 Festschrift Special Issue in honor of the 65th birthday of Prof. W. David Nes, an internationally recognized chemical biologist and recipient of the George Schroepher medal for sterol research, focuses on recent developments in the chemistry, biosynthesis, and function of these polycyclic natural products. This volume of Molecules contains 16 leading-edge review articles and original research contributions from an international cast of scientists. This volume is grouped into three sections: (i) isoprenoid metabolome and diversity, (ii) clinical evaluation of sterol and triterpene structures and biosynthesis, and (iii) methods and synthesis of steroids and other compounds. The volume will be a valuable reference tool for those who study medicinal chemistry, protein chemistry, and biochemistry of isoprenoid lipids.

Keywords

Zingiber officinale --- gingerols --- cytotoxic activity --- oleanolic acid --- high-fat high-carbohydrate diet --- pre-diabetes --- glucose homeostasis --- insulin resistance --- atherosclerosis --- ROS --- HUVECs --- LOX-1 --- alkaloid --- granatane --- N-methylcadaverine --- N-methylpiperidine. reductive deamination --- Mucorales --- Rhizopus arrhizus --- sterol pattern --- antifungal effectivity --- gas chromatography-mass spectrometry (GC-MS) --- posaconazole --- sterol biosynthesis --- sterol 14?-demethylase --- sterol C24-methyltransferase --- mechanism-based inactivators --- antifungals --- azoles --- antiparasitic drugs --- human African trypanosomiasis --- Chagas disease --- synthesis --- squalene cyclase --- cycloartenol synthase --- triterpene --- fern --- Polystichum --- terpene --- isoprenoid --- divalent metal co-factor ligation --- antioxidant --- cholesterol --- degeneration --- oxysterol --- retina --- Smith-Lemli-Opitz syndrome --- algal sterols --- ergosterol biosynthesis --- infectious disease --- lipidomics --- oxyphytosterol --- pharmacognosy --- phytosterol --- sterolomics --- lupeol --- keratinocytes --- fibroblasts --- wound healing --- cell migration --- UV-radiation --- ZnO --- toxicity --- sterol content --- cholesterol --- leishmania --- solanaceae --- withanolides --- aurelianolides --- phytosterols --- mesocarp --- oilseed --- maturity --- pod-blast --- ?-tocopherol --- oil bodies --- campesterol --- stigmasterol --- ?-sitosterol --- sterol --- C4-demethylation complex (C4DMC) --- 4-methylsterol --- hormone --- steroid --- development --- genetic disease --- bile alcohol --- cholestanoic acid --- oxysterol --- sterolomics --- enzyme-assisted derivatization --- electrospray ionization-mass spectrometry --- Girard reagent --- n/a

Flood Forecasting Using Machine Learning Methods

Authors: --- ---
ISBN: 9783038975489 Year: Pages: 376 DOI: 10.3390/books978-3-03897-549-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-03-08 11:42:05
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Abstract

This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

Keywords

data scarce basins --- runoff series --- data forward prediction --- ensemble empirical mode decomposition (EEMD) --- stopping criteria --- method of tracking energy differences (MTED) --- deep learning --- convolutional neural networks --- superpixel --- urban water bodies --- high-resolution remote-sensing images --- monthly streamflow forecasting --- artificial neural network --- ensemble technique --- phase space reconstruction --- empirical wavelet transform --- hybrid neural network --- flood forecasting --- self-organizing map --- bat algorithm --- particle swarm optimization --- flood routing --- Muskingum model --- machine learning methods --- St. Venant equations --- rating curve method --- nonlinear Muskingum model --- hydrograph predictions --- flood routing --- Muskingum model --- hydrologic models --- improved bat algorithm --- Wilson flood --- Karahan flood --- flood susceptibility modeling --- ANFIS --- cultural algorithm --- bees algorithm --- invasive weed optimization --- Haraz watershed --- ANN-based models --- flood inundation map --- self-organizing map (SOM) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- ensemble technique --- artificial neural networks --- uncertainty --- streamflow predictions --- sensitivity --- flood forecasting --- extreme learning machine (ELM) --- backtracking search optimization algorithm (BSA) --- the upper Yangtze River --- deep learning --- LSTM network --- water level forecast --- the Three Gorges Dam --- Dongting Lake --- Muskingum model --- wolf pack algorithm --- parameters --- optimization --- flood routing --- flash-flood --- precipitation-runoff --- forecasting --- lag analysis --- random forest --- machine learning --- flood prediction --- flood forecasting --- hydrologic model --- rainfall–runoff, hybrid & --- ensemble machine learning --- artificial neural network --- support vector machine --- natural hazards & --- disasters --- adaptive neuro-fuzzy inference system (ANFIS) --- decision tree --- survey --- classification and regression trees (CART), data science --- big data --- artificial intelligence --- soft computing --- extreme event management --- time series prediction --- LSTM --- rainfall-runoff --- flood events --- flood forecasting --- data assimilation --- particle filter algorithm --- micro-model --- Lower Yellow River --- ANN --- hydrometeorology --- flood forecasting --- real-time --- postprocessing --- machine learning --- early flood warning systems --- hydroinformatics --- database --- flood forecast --- Google Maps

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