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Hip-Hop, Art, and Visual Culture: Connections, Influences, and Critical Discussions

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ISBN: 9783039284504 / 9783039284511 Year: Pages: 80 DOI: 10.3390/books978-3-03928-451-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Arts in general
Added to DOAB on : 2020-06-09 16:38:56
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Visual art has been tied to hip-hop culture since its emergence in the 1970s. Commentary on these initial connections often emphasizes the importance of graffiti and fashion during hip-hop’s earliest days. Forty years later, hip-hop music has grown into a billion-dollar global industry, and its influence on visual art and society has also expanded. This book-length printed edition of Arts collects essays by scholars who explore this evolving influence through their work in art education, cultural theory, and visual culture studies. The topics covered by these authors include discussions on identity and cultural appropriation, equity and access as represented in select works of art, creativity and copyright in digital media, and the use of fine art tropes within the sociocultural history of hip-hop. As a collected volume, these essays make potentially important contributions to broadening the narrative on art education and hip-hop beyond the topics of graffiti, fashion, and the use of cyphers in educational contexts.

Youth Studies and Generations: Values, Practices and Discourses on Generations

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ISBN: 9783039283262 9783039283279 Year: Pages: 262 DOI: 10.3390/books978-3-03928-327-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology --- Ethnology
Added to DOAB on : 2020-04-07 23:07:09
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There is currently much discourse about generations in the public sphere. A sequence of letters conflates generations and age cohorts born in the last few decades (generation “X”, “Y” or “Z”) as well as multiple categories are used to describe today’s young people as a generation that is distinct from its predecessors. Despite the popularity of generational labels in media, politics, or even academia, the use of generation as a conceptual tool in youth studies has been controversial. This Special Issue allows readers to better understand the key issues regarding the use of generation as a theoretical concept and/or as a social category in the field of youth studies, shedding light on the controversies, trends, and cautions that go through it.

Overcoming Data Scarcity in Earth Science

Authors: --- --- ---
ISBN: 9783039282104 / 9783039282111 Year: Pages: 94 DOI: 10.3390/books978-3-03928-211-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2020-06-09 16:38:57
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heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

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ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

Geoinformatics in Citizen Science

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ISBN: 9783039210725 9783039210732 Year: Pages: 206 DOI: 10.3390/books978-3-03921-073-2 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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The book features contributions that report original research in the theoretical, technological, and social aspects of geoinformation methods, as applied to supporting citizen science. Specifically, the book focuses on the technological aspects of the field and their application toward the recruitment of volunteers and the collection, management, and analysis of geotagged information to support volunteer involvement in scientific projects. Internationally renowned research groups share research in three areas: First, the key methods of geoinformatics within citizen science initiatives to support scientists in discovering new knowledge in specific application domains or in performing relevant activities, such as reliable geodata filtering, management, analysis, synthesis, sharing, and visualization; second, the critical aspects of citizen science initiatives that call for emerging or novel approaches of geoinformatics to acquire and handle geoinformation; and third, novel geoinformatics research that could serve in support of citizen science.

Interventions to Reduce Bullying and Cyberbullying

Authors: --- ---
ISBN: 9783039213597 9783039213603 Year: Pages: 214 DOI: 10.3390/books978-3-03921-360-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2019-12-09 11:49:15
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This book, a Special Issue of the International Journal of Environmental Research and Public Health, has been curated by three leading international experts on the topic. Following their editorial, there are 14 contributions on the topic of interventions against bullying, including cyberbullying, and similar abusive behaviors such as dating violence. Some contributions also assess positive or protective factors such as well-being, self-efficacy, and school climate. Eight of the contributions directly assess the effects of an intervention, with pre/post test designs and experimental and control groups. The other contributions examine a range of relevant topics, such as teacher attitudes and pupils’ confidence in intervening rather than being passive bystanders. Ten countries are represented among the authors. Most of the articles are about secondary schools (pupils, or teachers), but there are also contributions on early childhood, primary school, and university. This book will be of interest and relevance not only to researchers but also to teachers and educational practitioners concerned with pupil safety and well-being in school, and provides practical ways to reduce bullying and its harmful effects.

Keywords

bullying --- intervention --- pre-service teachers --- special education needs students --- cyberbullying --- cybervictimization --- prevention program --- tabby intervention program --- risk factors --- threat assessment --- ecological system theory --- bullying --- intervention --- willingness to intervene --- verbal bullying --- relational bullying --- aggression --- school --- classroom climate --- classroom cohesion --- self-efficacy --- bullying --- martial arts --- mental health --- resilience --- self-efficacy --- wellbeing --- effectiveness --- moderators --- temperament --- anti-bullying --- subgroup analyses --- dating violence --- bullying --- prevention program --- Dat-e Adolescence --- Asegúrate program --- cyberbullying --- cyber-victim --- cyber-aggressor --- bullying --- cyberbullying --- prevention program --- Prev@cib --- adolescents --- bullying --- cyberbullying --- school climate --- intervention program --- cyberbullying --- intervention --- school --- minors --- families --- teachers --- successful educational action --- Bullying --- intervention --- young children --- South Korea --- hakkyo-pokryuk --- prevention --- cyberbullying --- coping strategies --- teacher based-intervention --- adolescents --- traditional victimization --- cyber victimization --- bullying --- teacher styles --- authoritative leadership --- warmth --- control --- class teacher --- cyberbullying --- peer support --- bystanders --- moral disengagement --- cyberbullying and the law --- mental health --- social environment --- cyberbullying interventions --- educational lifespan --- n/a

Systems Analytics and Integration of Big Omics Data

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ISBN: 9783039287444 / 9783039287451 Year: Pages: 202 DOI: 10.3390/books978-3-03928-745-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-06-09 16:38:57
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A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Keywords

tissue-specific expressed genes --- transcriptome --- tissue classification --- support vector machine --- feature selection --- bioinformatics pipelines --- algorithm development for network integration --- miRNA–gene expression networks --- multiomics integration --- network topology analysis --- candidate genes --- gene–environment interactions --- logic forest --- systemic lupus erythematosus --- Gene Ontology --- KEGG pathways --- enrichment analysis --- proteomic analysis --- plot visualization --- Alzheimer’s disease --- dementia --- cognitive impairment --- neurodegeneration --- Gene Ontology --- annotation --- biocuration --- amyloid-beta --- microtubule-associated protein tau --- artificial intelligence --- genotype --- phenotype --- deep phenotype --- data integration --- genomics --- phenomics --- precision medicine informatics --- epigenetics --- chromatin modification --- sequencing --- regulatory genomics --- disease variants --- machine learning --- multi-omics --- data integration --- curse of dimensionality --- heterogeneous data --- missing data --- class imbalance --- scalability --- genomics --- pharmacogenomics --- cell lines --- database --- drug sensitivity --- data integration --- omics data --- genomics --- RNA expression --- non-omics data --- clinical data --- epidemiological data --- challenges --- integrative analytics --- joint modeling --- multivariate analysis --- multivariate causal mediation --- distance correlation --- direct effect --- indirect effect --- causal inference --- n/a

Novel Methods and Applications for Mineral Exploration

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ISBN: 9783039289431 / 9783039289448 Year: Pages: 264 DOI: 10.3390/books978-3-03928-944-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geology --- Earth Sciences
Added to DOAB on : 2020-06-09 16:38:57
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This special volume offers a snapshot of the latest developments in mineral exploration, in particular, geophysical, geochemical, and computational methods. It reflects the cutting-edge applications of geophysics and geochemistry, as well as novel technologies, such as in artificial intelligence and hyperspectral exploration, methods that have profoundly changed how exploration is conducted. This special volume is a representation of these cutting-edge and pioneering methods to consider and conduct exploration, and should serve both as a valuable compendium of the most innovative exploration methodologies available and as a foreshadowing of the form of future exploration. As such, this volume is of significant importance and would be useful to any exploration geologist and company

Synthetic DNA and RNA Programming

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ISBN: 9783039217342 9783039217359 Year: Pages: 188 DOI: 10.3390/books978-3-03921-735-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:16
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Dear Colleagues, Synthetic biology is a broad and emerging discipline that capitalizes on recent advances in molecular biology, genetics, protein and RNA engineering and omics technologies. These technologies have transformed our ability to reveal the biology of the cell and the molecular basis of disease.

Keywords

fluorescent reporter --- live cell imaging --- microRNA quantification --- optogenetics --- small molecule drug screening --- Escherichia coli --- recombinant protein production --- gene overexpression --- growth effect --- ASKA collection --- codon bias --- branched-chain amino acids --- gene ontology --- genetic code expansion --- protein kinase B --- phosphoinositide dependent kinase 1 --- phosphoseryl-tRNA synthetase --- tRNASep --- alanyl-tRNA synthetase --- class II aminoacyl-tRNA synthetase --- expanded genetic code --- lysine acetylation --- posttranslational modification --- genetic code expansion --- transfer RNA --- synthetic biology --- non-canonical amino acids --- selenocysteine --- genetic code expansion --- release factor 1 --- amber stop codon suppression --- M. jannaschii orthogonal pair --- fluorescence-based screen --- cyclic peptides --- biopharmaceuticals --- mRNA display --- yeast two hybrid --- tRNASer --- mistranslation --- anticodon --- functional conservation --- alternative amino acid and nucleotide repertoires --- alternative core cellular chemistries --- biocontainment --- genetic firewall --- genetic isolation --- orthogonal central dogma of molecular biology --- synthetic life --- xenobiology --- genome engineering --- synthetic biology --- yeasts --- Metschnikowia --- genetic tools --- DNA delivery --- CUG-Ser --- reverse polymerization --- tRNA editing --- tRNA repair --- protein engineering --- synthetic biology --- tRNA --- misacylation --- indirect tRNA aminoacylation --- AspRS --- GluRS-like --- genetic code expansion --- genome synthesis --- genome editing --- microRNA --- protein modification --- RNA metabolism --- tRNA --- synthetic biology --- unnatural amino acids --- unnatural nucleotides

Stochastic Processes: Theory and Applications

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ISBN: 9783039219629 9783039219636 Year: Pages: 216 DOI: 10.3390/books978-3-03921-963-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics --- Statistics
Added to DOAB on : 2020-01-07 09:08:26
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The aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as queuing theory, physics, biology, economics, medicine, reliability theory, and financial mathematics. Potential topics include, but are not limited to: Markov chains and processes; large deviations and limit theorems; random motions; stochastic biological model; reliability, availability, maintenance, inspection; queueing models; queueing network models; computational methods for stochastic models; applications to risk theory, insurance and mathematical finance.

Keywords

measure of information --- cumulative inaccuracy --- mutual information --- lower record values --- parabolic equation --- Cauchy problem --- Monte Carlo method --- unbiased estimator --- von-Neumann–Ulam scheme --- compound poisson insurance risk model --- expected discounted penalty function --- estimation --- Fourier transform --- Fourier-cosine series --- multidimensional birth-death process --- inhomogeneous continuous-time Markov chain --- rate of convergence --- one dimensional projection --- Wiener–Poisson risk model --- survival probability --- Nonparametric threshold estimation --- wet periods --- total precipitation volume --- asymptotic approximation --- extreme order statistics --- random sample size --- testing statistical hypotheses --- queueing systems --- rate of convergence --- non-stationary --- Markovian queueing models --- limiting characteristics --- queuing network --- retrials --- state-dependent marked Markovian arrival process --- wireless telecommunication networks --- time-dependent queue-length probability --- discrete-time Geo/D/1 queue --- closed-form solution --- Monte Carlo method --- quasi-Monte Carlo method --- Koksma-Hlawka inequality --- quasi-random sequences --- stochastic processes --- processor heating and cooling --- markovian arrival process --- phase-type service time distribution --- impatience --- Quasi-Birth-and-Death process --- matrix-geometric solution --- truncated distribution --- Markovian arrival process --- multi-class arrival processes --- product form --- equity-linked death benefits --- Fourier cosine series expansion --- guaranteed minimum death benefit --- option --- valuation --- Lévy process --- compound Poisson risk model --- generalized Gerber–Shiu discounted penalty function --- Laplace transform --- Dickson–Hipp operator --- recursive formula

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