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Audio Signal Processing

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ISBN: 9783038423515 9783038423508 Year: Pages: X, 436 DOI: 10.3390/books978-3-03842-351-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Acoustics --- Electrical and Nuclear Engineering
Added to DOAB on : 2017-03-20 09:56:24
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Audio signal processing is a highly active research field where digital signal processing theory meets human sound perception and real-time programming requirements. It has a wide range of applications in computers, gaming, and music technology, to name a few of the largest areas. Successful applications include, for example, perceptual audio coding, digital music synthesizers, and music recognition software. The fact that music is now often listened to using headphones from a mobile device leads to new problems related to background noise control and signal enhancement. Developments in processor technology, such as parallel computing, are changing the way signal-processing algorithms are designed for audio.Topics covered, but were not limited to, the following areas:- Audio signal analysis- Music information retrieval- Enhancement and restoration of audio- Audio equalization and filtering- Audio effects processing- Sound synthesis and modeling- Audio coding- Sound capture and noise control- Sound source separation- Room acoustics and spatial audio- Signal processing for headphones and loudspeakers- High-performance computing in audio

Differential Geometrical Theory of Statistics

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ISBN: 9783038424253 9783038424246 Year: Pages: XIV, 458 DOI: 10.3390/books978-3-03842-425-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General)
Added to DOAB on : 2017-06-12 12:20:37
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This Special Issue "Differential Geometrical Theory of Statistics" collates selected invited and contributed talks presented during the conference GSI'15 on "Geometric Science of Information" which was held at the Ecole Polytechnique, Paris-Saclay Campus, France, in October 2015 (Conference web site: http://www.see.asso.fr/gsi2015).

The Epithelial-to-Mesenchymal Transition (EMT) in Cancer

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ISBN: 9783038427933 9783038427940 Year: Pages: VI, 254 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology
Added to DOAB on : 2018-04-27 16:09:54
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The epithelial-to-mesenchymal transition (EMT) is a highly dynamic process with multiple transitional states, by which epithelial cells can convert into a mesenchymal phenotype. This process involves loss of cellular adhesion and cellular polarity, and an improvement in migratory and invasive properties. It occurs during normal embryonic development, tissue regeneration, organ fibrosis, and wound healing. It is also involved in tumor progression with metastatic expansion, and plays a major role in resistance to cancer treatment. In cancers, EMT inducers are hypoxia, cytokines and growth factors secreted by the tumor microenvironment, stroma crosstalk, metabolic changes, innate and adaptive immune responses, and treatment with antitumor drugs. Switch in gene expression from epithelial to mesenchymal phenotype is triggered by complex regulatory networks involving transcriptional control, non-coding RNAs, chromatin remodeling and epigenetic modifications, alternative splicing, post-translational regulation, protein stability and subcellular localization. Reversion of EMT, the mesenchymal-to-epithelial transition (MET), affects circulating cancer cells when they reach a desirable metastatic niche to develop secondary tumors. More knowledge and control of EMT to MET is necessary and will be beneficial for patients for cancer treatment. This current Special Issue entitled “Epithelial to Mesenchymal Transition in Cancer” will address these questions.

Information Theory in Neuroscience

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ISBN: 9783038976646 Year: Pages: 280 DOI: 10.3390/books978-3-03897-665-3 Language: eng
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.

Towards New Promising Discoveries for Lung Cancer Patients: A Selection of Papers from the First Joint Meeting on Lung Cancer of the FHU OncoAge (Nice, France) and the MD Anderson Cancer Center (Houston, TX, USA)

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ISBN: 9783039214518 / 9783039214525 Year: Pages: 230 DOI: 10.3390/books978-3-03921-452-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Oncology
Added to DOAB on : 2019-12-09 11:49:15
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This Special Issue of Cancers (Basel) is mainly dedicated to selecting papers from the talks given during the first Joint Meeting on Lung Cancer (JMLC) between the MD Anderson Cancer Center (Houston, Texas USA) and the Hospital University Federation (HUF) OncoAge (University Côte d’Azur, Nice, France) (Nice, September 2018). The central theme of JMLC is to discuss new advances and exchange ideas regarding lung cancer. Notably, the talks covered different topics on new therapeutic strategies (targeted therapy and immuno-oncology), molecular and cellular biology, biomarkers, and the epidemiology of lung cancer. Special attention was also given to lung cancer in elderly patients. The articles published in this Special Issue covered subjects such as the assessment of new biomarkers and new approaches for the early detection of lung cancer, epidemiological data, and emphasized a place for the newly characterized cellular pathways in lung cancer, which opens room for therapeutic perspectives for lung cancer patients.

MicroRNA as Biomarkers in Cancer Diagnostics and Therapy

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ISBN: 9783039212491 / 9783039212507 Year: Pages: 166 DOI: 10.3390/books978-3-03921-250-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Microbiology
Added to DOAB on : 2019-08-28 11:21:27
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This Special Issue celebrates the 25th anniversary of the discovery of the first microRNA. The size of the microRNome and complexity of animal body plans and organ systems suggests a role for microRNAs in cell fate determination and differentiation. More than 2000 sequences have been proposed to represent unique microRNA genes in humans, with an increasing number of mechanistic roles identified in developmental, physiological, and pathological processes. Thus, dysregulation of a few key microRNAs can have a profound global effect on the gene expression and molecular programs of a cell. This great potential for clinical intervention has captured the interest and imagination of researchers in many fields. However, very few fields have been as prolific as the field of cancer research. This Special Issue provides but a glimpse of the large body of literature of microRNA biology in cancer research, containing 4 original research studies and 4 review articles that focus on specific hematologic or solid tumors in disease. Collectively, these articles highlight state-of-the-art approaches and methodologies for microRNA detection in tissue, blood, and other body fluids in a range of biomarkers applications, from early cancer detection to prognosis and treatment response. The articles also address some of the challenges regarding clinical implementation.

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: eng
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

Image Processing Using FPGAs

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ISBN: 9783038979180 / 9783038979197 Year: Pages: 204 DOI: 10.3390/books978-3-03897-919-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-06-26 08:44:06
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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.

The Psychosocial Implications of Disney Movies

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ISBN: 9783038978480 / 9783038978497 Year: Pages: 246 DOI: 10.3390/books978-3-03897-849-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2019-08-28 11:21:27
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In this volume of 15 articles, contributors from a wide range of disciplines present their analyses of Disney movies and Disney music, which are mainstays of popular culture. The power of the Disney brand has heightened the need for academics to question whether Disney’s films and music function as a tool of the Western elite that shapes the views of those less empowered. Given its global reach, how the Walt Disney Company handles the role of race, gender, and sexuality in social structural inequality merits serious reflection according to a number of the articles in the volume. On the other hand, other authors argue that Disney productions can help individuals cope with difficult situations or embrace progressive thinking. The different approaches to the assessment of Disney films as cultural artifacts also vary according to the theoretical perspectives guiding the interpretation of both overt and latent symbolic meaning in the movies. The authors of the 15 articles encourage readers to engage with the material, showcasing a variety of views about the good, the bad, and the best way forward.

Keywords

content analysis --- cultivation --- Disney --- family --- family structure --- family function --- Elsa --- Kristoff --- Olaf --- Marshmallow --- Let it Go --- enchantment --- applause --- engagement ring --- diamond --- gender --- snowmen --- wedding toast --- bullroarer --- fireworks --- witches --- magic --- standing ovation --- fertility --- parthenogenesis --- gender nonconformity --- non-binary --- storms --- family jewels --- snowflake --- feminism --- Moana --- Disney --- music --- colonialism --- imperialism --- appropriation --- Polynesia --- Disney --- EPCOT --- music --- appropriation --- world --- park --- entertainment --- sounds --- cultures --- Disney --- princess --- gender roles --- stereotyping --- children’s media --- death --- children --- Disney --- coping mechanisms --- Africana --- alternative royals --- intersectionality --- matrix of domination --- Disney --- gender --- motherhood --- media criticism --- family roles --- masculinity --- empowered mothering --- Pixar --- Disney --- postfeminism --- masculinity --- gender --- cultural studies --- Dumbo --- Lilo &amp --- Stitch --- Disney --- queer --- mean girls --- boobs and boyfriends --- girl cartoon --- gender --- pink elephants --- commodification --- Walter Benjamin --- diversity --- hegemony --- Disney --- coloniality --- adaptation --- Disney --- gender --- feminism --- political economy of film --- feminist film criticism --- feminist political economy of media --- gender stereotypes --- sexuality --- heroism --- hypermasculinity --- selflessness --- Hercules --- Zeus --- Megara --- Disney --- princess --- prince --- gender roles --- content coding analysis --- children’s media --- Disney --- girls --- beauty --- transnational media --- princess

Molecular Computing and Bioinformatics

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ISBN: 9783039211951 / 9783039211968 Year: Pages: 390 DOI: 10.3390/books978-3-03921-196-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-08-28 11:21:27
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This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Keywords

prostate cancer --- Mycoplasma hominis --- endoplasmic reticulum --- systems biology --- protein targeting --- biomedical text mining --- big data --- Tianhe-2 --- parallel computing --- load balancing --- bacterial computing --- bacteria and plasmid system --- Turing universality --- recursively enumerable function --- miRNA biogenesis --- structural patterns --- DCL1 --- protein–protein interaction (PPI) --- clustering --- protein complex --- penalized matrix decomposition --- avian influenza virus --- interspecies transmission --- amino acid mutation --- machine learning --- Bayesian causal model --- causal direction learning --- K2 --- brain storm optimization --- line graph --- Cartesian product graph --- join graph --- atom-bond connectivity index --- geometric arithmetic index --- P-glycoprotein --- efflux ratio --- in silico --- machine learning --- hierarchical support vector regression --- absorption --- distribution --- metabolism --- excretion --- toxicity --- image encryption --- chaotic map --- DNA coding --- Hamming distance --- Stenotrophomonas maltophilia --- iron acquisition systems --- iron-depleted --- RAST server --- NanoString Technologies --- siderophores --- gene fusion data --- gene susceptibility prioritization --- evaluating driver partner --- gene networks --- drug-target interaction prediction --- machine learning --- drug discovery --- microRNA --- environmental factor --- structure information --- similarity network --- bioinformatics --- identification of Chinese herbal medicines --- biochip technology --- DNA barcoding technology --- DNA strand displacement --- cascade --- 8-bit adder/subtractor --- domain label --- Alzheimer’s disease --- gene coding protein --- sequence information --- support vector machine --- classification --- adverse drug reaction prediction --- heterogeneous information network embedding --- stacking denoising auto-encoder --- meta-path-based proximity --- Panax ginseng --- oligopeptide transporter --- flowering plant --- phylogeny --- transcription factor --- multiple interaction networks --- function prediction --- multinetwork integration --- low-dimensional representation --- dihydrouridine --- nucleotide physicochemical property --- pseudo dinucleotide composition --- RNA secondary structure --- ensemble classifier --- diabetes mellitus --- hypoxia-inducible factor-1? --- angiogenesis --- bone formation --- osteogenesis --- protein transduction domain --- membrane computing --- edge detection --- enzymatic numerical P system --- resolution free --- molecular computing --- molecular learning --- DNA computing --- self-organizing systems --- pattern classification --- machine learning --- laccase --- Brassica napus --- lignification --- stress --- molecular computing --- bioinformatics --- machine learning --- protein --- DNA --- RNA --- drug --- bio-inspired

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eng (9)

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2019 (9)

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