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Financial Econometrics

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ISBN: 9783039216260 9783039216277 Year: Pages: 136 DOI: 10.3390/books978-3-03921-627-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-12-09 11:49:15
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Financial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme.

Information Theory in Neuroscience

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ISBN: 9783038976646 Year: Pages: 280 DOI: 10.3390/books978-3-03897-665-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Mathematics --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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As the ultimate information processing device, the brain naturally lends itself to being studied with information theory. The application of information theory to neuroscience has spurred the development of principled theories of brain function, and has led to advances in the study of consciousness, as well as to the development of analytical techniques to crack the neural code—that is, to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling the precise recording and manipulation of neural activity on a large scale now enable for the first time the precise formulation and the quantitative testing of hypotheses about how the brain encodes and transmits the information used for specific functions across areas. This Special Issue presents twelve original contributions on novel approaches in neuroscience using information theory, and on the development of new information theoretic results inspired by problems in neuroscience.

Quantum Probability and Randomness

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ISBN: 9783038977148 9783038977155 Year: Pages: 276 DOI: 10.3390/books978-3-03897-715-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-04-25 16:37:17
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The last few years have been characterized by a tremendous development of quantum information and probability and their applications, including quantum computing, quantum cryptography, and quantum random generators. In spite of the successful development of quantum technology, its foundational basis is still not concrete and contains a few sandy and shaky slices. Quantum random generators are one of the most promising outputs of the recent quantum information revolution. Therefore, it is very important to reconsider the foundational basis of this project, starting with the notion of irreducible quantum randomness. Quantum probabilities present a powerful tool to model uncertainty. Interpretations of quantum probability and foundational meaning of its basic tools, starting with the Born rule, are among the topics which will be covered by this issue. Recently, quantum probability has started to play an important role in a few areas of research outside quantum physics&mdash;in particular, quantum probabilistic treatment of problems of theory of decision making under uncertainty. Such studies are also among the topics of this issue.

Keywords

quantum logic --- groups --- partially defined algebras --- quasigroups --- viable cultures --- quantum information theory --- bit commitment --- protocol --- entropy --- entanglement --- orthogonality --- quantum computation --- Gram–Schmidt process --- quantum probability --- potentiality --- complementarity --- uncertainty relations --- Copenhagen interpretation --- indefiniteness --- indeterminism --- causation --- randomness --- quantum information --- quantum dynamics --- entanglement --- algebra --- causality --- geometry --- probability --- quantum information theory --- realism --- reality --- entropy --- correlations --- qubits --- probability representation --- Bayes’ formula --- quantum entanglement --- three-qubit random states --- entanglement classes --- entanglement polytope --- anisotropic invariants --- quantum random number --- vacuum state --- maximization of quantum conditional min-entropy --- quantum logics --- quantum probability --- holistic semantics --- epistemic operations --- Bell inequalities --- algorithmic complexity --- Borel normality --- Bayesian inference --- model selection --- random numbers --- quantum-like models --- operational approach --- information interpretation of quantum theory --- social laser --- social energy --- quantum information field --- social atom --- Bose–Einstein statistics --- bandwagon effect --- social thermodynamics --- resonator of social laser --- master equation for socio-information excitations --- quantum contextuality --- Kochen–Specker sets --- MMP hypergraphs --- Greechie diagrams --- quantum foundations --- probability --- irreducible randomness --- random number generators --- quantum technology --- entanglement --- quantum-like models for social stochasticity --- contextuality

Selected Papers from the 2018 41st International Conference on Telecommunications and Signal Processing (TSP)

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ISBN: 9783039210404 9783039210411 Year: Pages: 194 DOI: 10.3390/books978-3-03921-041-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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This Special Issue contains a series of excellent research works on telecommunications and signal processing, selected from the 2018 41st International Conference on Telecommunications and Signal Processing (TSP) which was held on July 4–6, 2018, in Athens, Greece. The conference was organized in cooperation with the IEEE Region 8 (Europe, Middle East, and Africa), IEEE Greece Section, IEEE Czechoslovakia Section, and IEEE Czechoslovakia Section SP/CAS/COM Joint Chapter by seventeen universities from the Czech Republic, Hungary, Turkey, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Slovenia, Croatia, and Poland, for academics, researchers, and developers, and serves as a premier international forum for the annual exchange and promotion of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors worldwide. This collection of 10 papers is highly recommended for researchers, and believed to be interesting, inspiring, and motivating for readers in their further research.

Microfluidics for Cells and Other Organisms

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ISBN: 9783039215621 9783039215638 Year: Pages: 200 DOI: 10.3390/books978-3-03921-563-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Microfluidics-based devices play an important role in creating realistic microenvironments in which cell cultures can thrive. They can, for example, be used to monitor drug toxicity and perform medical diagnostics, and be in a static-, perfusion- or droplet-based device. They can also be used to study cell-cell, cell-matrix or cell-surface interactions. Cells can be either single cells, 3D cell cultures or co-cultures. Other organisms could include bacteria, zebra fish embryo, C. elegans, to name a few.

Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management

Authors: --- ---
ISBN: 9783038976424 Year: Pages: 320 DOI: 10.3390/books978-3-03897-643-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-03-08 11:42:05
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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators; 65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

Keywords

multi-criteria decision-making --- group decision-making --- subcontractor evaluation --- MCDM --- MADM --- fuzzy sets --- fuzzy EDAS --- multi-attribute decision making --- projection model --- bi-directional projection model --- Pythagorean uncertain linguistic variable --- rough number --- rough weighted aggregated sum product assessment (WASPAS) --- rough analytical hierarchical process (AHP) --- multiple criteria decision making (MCDM) --- supplier --- supplier selection --- order allocation --- multiobjective optimization --- interactive approach --- desirability function --- Pythagorean fuzzy set --- Muirhead mean --- multiple criteria group decision-making --- multiple attributes decision-making --- group decision-making --- unbalanced linguistic set --- prioritized average operator --- maximizing deviation model --- Pythagorean fuzzy set --- Muirhead mean --- interaction operational laws --- multi-attribute group decision-making --- green supplier --- rough ANP --- trapezoidal fuzzy number --- rough boundary interval --- evidence theory --- trust interval --- multiple attribute decision making --- linguistic cubic variable --- Dombi operations --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- single-valued linguistic neutrosophic interval linguistic number --- score function --- weighted aggregation operator --- decision making --- multiple attribute decision making --- nonnegative normal neutrosophic number --- aggregation operator --- multi-criteria decision-making --- multi-hesitant fuzzy sets --- aggregation operators --- hesitant probabilistic fuzzy element (HPFE) --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple attribute decision making (MADM). --- ANFIS --- warehouse --- queuing systems --- logistics --- uncertain group decision-making support systems --- multiple criteria decision-making --- reliable group decision-making --- interval multiplicative preference relations --- rough sets --- binary discernibility matrices --- deterministic finite automata --- multiple-criteria decision-making (MCDM) --- multi-attribute decision-making (MADM) --- fuzzy sets --- neutrosophic sets --- rough sets --- aggregation operators --- adaptive neuro-fuzzy inference system (ANFIS)

New Developments in Statistical Information Theory Based on Entropy and Divergence Measures

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ISBN: 9783038979364 9783038979371 Year: Pages: 344 DOI: 10.3390/books978-3-03897-937-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology --- Statistics
Added to DOAB on : 2019-06-26 08:44:06
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This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, based on maximum likelihood estimators, as well as Wald’s statistics, likelihood ratio statistics and Rao’s score statistics, share several optimum asymptotic properties, but are highly non-robust in cases of model misspecification under the presence of outlying observations. It is well-known that a small deviation from the underlying assumptions on the model can have drastic effect on the performance of these classical tests. Specifically, this book presents a robust version of the classical Wald statistical test, for testing simple and composite null hypotheses for general parametric models, based on minimum divergence estimators.

Keywords

sparse --- robust --- divergence --- MM algorithm --- Bregman divergence --- generalized linear model --- local-polynomial regression --- model check --- nonparametric test --- quasi-likelihood --- semiparametric model --- Wald statistic --- composite likelihood --- maximum composite likelihood estimator --- Wald test statistic --- composite minimum density power divergence estimator --- Wald-type test statistics --- Bregman divergence --- general linear model --- hypothesis testing --- influence function --- robust --- Wald-type test --- log-linear models --- ordinal classification variables --- association models --- correlation models --- minimum penalized ?-divergence estimator --- consistency --- asymptotic normality --- goodness-of-fit --- bootstrap distribution estimator --- thematic quality assessment --- relative entropy --- logarithmic super divergence --- robustness --- minimum divergence inference --- generalized renyi entropy --- minimum divergence methods --- robustness --- single index model --- model assessment --- statistical distance --- non-quadratic distance --- total variation --- mixture index of fit --- Kullback-Leibler distance --- divergence measure --- ?-divergence --- relative error estimation --- robust estimation --- information geometry --- centroid --- Bregman information --- Hölder divergence --- indoor localization --- robustness --- efficiency --- Bayesian nonparametric --- Bayesian semi-parametric --- asymptotic property --- minimum disparity methods --- Hellinger distance --- Berstein von Mises theorem --- measurement errors --- robust testing --- two-sample test --- misspecified hypothesis and alternative --- 2-alternating capacities --- composite hypotheses --- corrupted data --- least-favorable hypotheses --- Neyman Pearson test --- divergence based testing --- Chernoff Stein lemma --- compressed data --- Hellinger distance --- representation formula --- iterated limits --- influence function --- consistency --- asymptotic normality --- location-scale family --- n/a

Multi-Agent Systems

Authors: --- --- ---
ISBN: 9783038979241 9783038979258 Year: Pages: 392 DOI: 10.3390/books978-3-03897-925-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 10:09:00
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This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.

Keywords

scaled consensus --- delay --- formation tracking --- multi-agent system --- collision avoidance --- multiple passive agents --- Mobile Robot Navigation --- pedestrian environment --- kinodynamic planning --- velocity obstacle --- agent-based modeling --- complex network --- multi-agent system --- network management --- [-5]agent-based simulation --- agent-based social simulation --- multi-agent system --- agent-oriented software engineering --- sociogram --- agent technology --- organizational model --- agent behavior --- travel behavior --- commuting --- carpooling --- online double auction --- mechanism design --- perishable goods --- multi-agent simulation --- bike sharing systems (BSS) --- regression models --- open data --- data visualization --- multi agent systems --- organizations and institutions --- socio-technical systems --- multi-agent systems --- electric vehicles --- charging stations --- genetic algorithm --- multi-agent system --- agent-based simulation --- 3D representation --- human-machine interaction --- ambient intelligence --- user interaction levels --- intelligent agents --- intelligent hybrid systems --- type-2 fuzzy inference system --- methodologies for agent-based systems --- organizations and institutions --- socio–technical systems --- computational accountability --- social commitments --- agent-based programming --- multi-agent system --- BDI agents --- model-driven development --- agent development methodology --- semantic web service --- ontology --- SEA_ML --- electronic bartering system --- ambient intelligence --- cognitive disabilities --- mobile communication --- orientation --- person tracking --- trajectory mining --- agreement technologies --- coordination models --- multiagent systems --- smart cities --- surface vehicle --- underactuated vehicle --- RBFNNs --- directed graph --- coordinated control --- Behavior Trees (BTs) --- Genetic Programming (GP) --- autonomous agents --- behavior modeling --- tree mining --- agent development framework --- mobile device agent --- linked data --- semantic web --- multi-agent systems --- agent-based modelling --- agent-based simulation --- agent-oriented technologies --- coordination --- Artificial Intelligence --- computer science --- multi-agent systems --- agent methodologies --- agent-based simulation --- ambient intelligence --- smart cities

Transcriptional Regulation: Molecules, Involved Mechanisms and Misregulation

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ISBN: 9783039212651 9783039212668 Year: Pages: 356 DOI: 10.3390/books978-3-03921-266-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-08-28 11:21:27
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Transcriptional regulation is a critical biological process involved in the response of a cell, a tissue or an organism to a variety of intra- and extra-cellular signals. Besides, it controls the establishment and maintenance of cell identity throughout developmental and differentiation programs. This highly complex and dynamic process is orchestrated by a huge number of molecules and protein networks and occurs through multiple temporal and functional steps. Of note, many human disorders are characterized by misregulation of global transcription since most of the signaling pathways ultimately target components of transcription machinery. This book includes a selection of papers that illustrate recent advances in our understanding of transcriptional regulation and focuses on many important topics, from cis-regulatory elements to transcription factors, chromatin regulators and non-coding RNAs, other than several transcriptome studies and computational analyses.

Keywords

major depressive disorder --- glioblastoma --- differentially expressed genes --- transcriptomics --- common pathway --- mouse --- miR-25-3p --- Akt1 --- AP-2? --- promoter --- cell metabolism --- p57Kip2 --- CDKN1C --- epigenetics --- disease --- cell differentiation --- placenta --- long non-coding RNA (lncRNA) --- human --- pregnancy --- high-throughput RNA sequencing (RNA-Seq) --- transcriptome --- Rsh regulon --- Novosphingobium pentaromativorans US6-1 --- sphingomonads --- RNA-seq --- N-acyl-l-homoserine lactone --- ppGpp --- selenium --- selenocysteine --- selenoproteins --- selenocysteine insertion sequence --- nonsense-mediated decay --- G-quadruplex --- transcriptional regulation --- promoter --- CRISPR/Cas9 --- PRDM gene family --- TCGA data analysis --- somatic mutations --- transcriptome profiling --- human malignancies --- tristetraprolin (TTP) --- tumorigenesis --- posttranscriptional regulation --- adenosine and uridine-rich elements (AREs) --- circRNA-disease associations --- pathway --- heterogeneous network --- Patau Syndrome --- cytogenetics --- FOXO1 --- transcription factor --- molecular pathways --- bioinformatics --- molecular docking --- and drug design --- transcription regulation --- gene expression --- causal inference --- enhancer activity --- insect --- transcription factors --- structures and functions --- research methods --- progress and prospects --- Pax3 --- Pteria penguin (Röding, 1798) --- tyrosinase --- melanin --- RNA interference --- liquid chromatograph-tandem mass spectrometer (LC-MS/MS) --- epigenetics --- gene expression --- nutrition --- transcription --- disorders --- mechanisms --- Crassostrea gigas --- Pacific oyster --- pediveliger larvae --- bioadhesive --- transcriptome --- gene expression --- interactome --- microscopy --- fertilization --- self-incompatibility --- transcriptome --- tea --- long non-coding RNAs --- cancer --- acute leukemia --- therapeutic targets --- Adiponectin --- cancer --- Adiponectin receptors --- obesity --- inflammatory response --- inflammation --- nutritional status --- n/a

Plug-in Hybrid Electric Vehicle (PHEV)

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ISBN: 9783039214532 9783039214549 Year: Pages: 230 DOI: 10.3390/books978-3-03921-454-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.

Keywords

battery power --- convex optimization --- dynamic programming --- engine-on power --- plug-in hybrid electric vehicle --- simulated annealing --- electric vehicle --- open-end winding --- dual inverter --- voltage vector distribution --- power sharing --- energy management --- range-extender --- CO2 --- air quality --- mobility needs --- LCA --- Paris Agreement --- hybrid energy storage system --- lithium-ion battery --- lithium-ion capacitor --- lifetime model --- power distribution --- state of health estimation --- adaptive neuron-fuzzy inference system (ANFIS) --- group method of data handling (GMDH) --- artificial neural network (ANN) --- electric vehicles (EVs) --- capacity degradation --- lithium-ion battery --- time-delay input --- interleaved multiport converte --- multi-objective genetic algorithm --- hybrid electric vehicles --- losses model --- wide bandgap (WBG) technologies --- Energy Storage systems --- LCA --- Well-to-Wheel --- electric vehicle --- plug-in hybrid --- electricity mix --- consequential --- attributional --- marginal --- system modelling --- energy system --- meta-analysis --- parallel hybrid electric vehicle --- regenerative braking --- fuel consumption characteristics --- energy efficiency --- state of charge --- lithium polymer battery --- electric vehicle --- Plugin Hybrid electric vehicle --- Li-ion battery --- modelling --- measurements --- state of charge --- strong track filter --- modified one-state hysteresis model --- Li(Ni1/3Co1/3Mn1/3)O2 battery --- energy management strategy --- Markov decision process (MDP) --- plug-in hybrid electric vehicles (PHEVs) --- Q-learning (QL) --- reinforcement learning (RL) --- novel propulsion systems --- emerging power electronics --- including wide bandgap (WBG) technology --- emerging electric machines --- efficient energy management strategies for hybrid propulsion systems --- energy storage systems --- life-cycle assessment (LCA)

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2019 (13)