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Book
Quantitative Analysis of Dependency Structures
Authors: ---
ISBN: 3110571099 3110573563 3110565773 Year: 2018 Publisher: De Gruyter Mouton

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Abstract

Dependency analysis is increasingly used in computational linguistics and cognitive science. Surprisingly, compared with studies based on phrase structures, quantitative methods and dependency structure are rarely integrated in research.This is the first book that collects original contributions which quantitatively analyze dependency structures across different languages and text genres.


Book
Advances in Water Distribution Networks
Authors: ---
Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The Special Issue on Advances in Water Distribution Networks (WDNs) explores four important topics of research in the framework of WDNs, namely simulation and optimization modelling, topology and partitioning, water quality, and service effectiveness. With regard to the first topic, the following aspects are addressed: pressure-driven formulations, algorithms for the optimal location of control valves to minimize leakage, the benefits of water discharge prediction for the remote real time control of valves, and transients generated by pumps operating as turbines. In the context of the second topic, a topological taxonomy of WDNs is presented, and partitioning methods for the creation of district metered areas are compared. In relation to the third topic, the vulnerability to trihalomethane is assessed, and a statistical optimization model to minimize heavy metal releases is presented. Finally, the fourth topic focusses on the estimation of non-revenue water, including leakage and unauthorized consumption, and on the assessment of service under intermittent supply conditions.


Book
Advances in Water Distribution Networks
Authors: ---
Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The Special Issue on Advances in Water Distribution Networks (WDNs) explores four important topics of research in the framework of WDNs, namely simulation and optimization modelling, topology and partitioning, water quality, and service effectiveness. With regard to the first topic, the following aspects are addressed: pressure-driven formulations, algorithms for the optimal location of control valves to minimize leakage, the benefits of water discharge prediction for the remote real time control of valves, and transients generated by pumps operating as turbines. In the context of the second topic, a topological taxonomy of WDNs is presented, and partitioning methods for the creation of district metered areas are compared. In relation to the third topic, the vulnerability to trihalomethane is assessed, and a statistical optimization model to minimize heavy metal releases is presented. Finally, the fourth topic focusses on the estimation of non-revenue water, including leakage and unauthorized consumption, and on the assessment of service under intermittent supply conditions.


Book
Advances in Water Distribution Networks
Authors: ---
Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The Special Issue on Advances in Water Distribution Networks (WDNs) explores four important topics of research in the framework of WDNs, namely simulation and optimization modelling, topology and partitioning, water quality, and service effectiveness. With regard to the first topic, the following aspects are addressed: pressure-driven formulations, algorithms for the optimal location of control valves to minimize leakage, the benefits of water discharge prediction for the remote real time control of valves, and transients generated by pumps operating as turbines. In the context of the second topic, a topological taxonomy of WDNs is presented, and partitioning methods for the creation of district metered areas are compared. In relation to the third topic, the vulnerability to trihalomethane is assessed, and a statistical optimization model to minimize heavy metal releases is presented. Finally, the fourth topic focusses on the estimation of non-revenue water, including leakage and unauthorized consumption, and on the assessment of service under intermittent supply conditions.


Book
Recent Advances and Applications of Machine Learning in Metal Forming Processes
Authors: ---
ISBN: 3036557725 3036557717 Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as: Classification, detection and prediction of forming defects; Material parameters identification; Material modelling; Process classification and selection; Process design and optimization. The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.


Book
Entropy-Based Applications in Economics, Finance, and Management
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ISBN: 3036558063 3036558055 Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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This book presents selected entropy-based applications in economics, finance and management research. The high-quality studies included in this book propose and discuss new tools and concepts derived from information theory to investigate various aspects of entropy with an assortment of applications. A wide variety of tools based on entropy confirms that entropy is potentially one of the most intricate scientific concepts. Such tools as Shannon entropy, transfer entropy, sample entropy, structural entropy, maximum entropy, fuzzy classification methods, chaos tools, etc., are utilized, and many topics in the fields of economics, finance and management are investigated. Among others, these topics comprise: market clustering, market microstructure, cryptocurrency market, market efficiency and regularity, risk spillovers, credit cycles, financial networks, income inequality, market relationships, causal inference in time series, group decision making, etc.


Book
In Silico Strategies for Prospective Drug Repositionings
Authors: --- --- ---
ISBN: 3036561331 303656134X Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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The discovery of new drugs is one of pharmaceutical research's most exciting and challenging tasks. Unfortunately, the conventional drug discovery procedure is chronophagous and seldom successful; furthermore, new drugs are needed to address our clinical challenges (e.g., new antibiotics, new anticancer drugs, new antivirals).Within this framework, drug repositioning—finding new pharmacodynamic properties for already approved drugs—becomes a worthy drug discovery strategy.Recent drug discovery techniques combine traditional tools with in silico strategies to identify previously unaccounted properties for drugs already in use. Indeed, big data exploration techniques capitalize on the ever-growing knowledge of drugs' structural and physicochemical properties, drug–target and drug–drug interactions, advances in human biochemistry, and the latest molecular and cellular biology discoveries.Following this new and exciting trend, this book is a collection of papers introducing innovative computational methods to identify potential candidates for drug repositioning. Thus, the papers in the Special Issue In Silico Strategies for Prospective Drug Repositionings introduce a wide array of in silico strategies such as complex network analysis, big data, machine learning, molecular docking, molecular dynamics simulation, and QSAR; these strategies target diverse diseases and medical conditions: COVID-19 and post-COVID-19 pulmonary fibrosis, non-small lung cancer, multiple sclerosis, toxoplasmosis, psychiatric disorders, or skin conditions.


Book
Toward Sustainability: Bike-Sharing Systems Design, Simulation and Management
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The goal of this Special Issue is to discuss new challenges in the simulation and management problems of both traditional and innovative bike-sharing systems, to ultimately encourage the competitiveness and attractiveness of BSSs, and contribute to the further promotion of sustainable mobility. We have selected thirteen papers for publication in this Special Issue.


Book
Toward Sustainability: Bike-Sharing Systems Design, Simulation and Management
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The goal of this Special Issue is to discuss new challenges in the simulation and management problems of both traditional and innovative bike-sharing systems, to ultimately encourage the competitiveness and attractiveness of BSSs, and contribute to the further promotion of sustainable mobility. We have selected thirteen papers for publication in this Special Issue.


Book
Toward Sustainability: Bike-Sharing Systems Design, Simulation and Management
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The goal of this Special Issue is to discuss new challenges in the simulation and management problems of both traditional and innovative bike-sharing systems, to ultimately encourage the competitiveness and attractiveness of BSSs, and contribute to the further promotion of sustainable mobility. We have selected thirteen papers for publication in this Special Issue.

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