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ATLAS:A 25-Year Insider Story of the LHC Experiment

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ISBN: 9789813271807 Year: Pages: 372 DOI: 10.1142/11030 Language: ENGLISH
Publisher: World Scientific Publishing Co.
Added to DOAB on : 2019-06-11 06:00:45
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This book is written by the ATLAS Collaboration at CERN's Large Hadron Collider (LHC), to document and reflect on its more than 25 years of history. It covers all aspects of this global science project at the forefront of particle physics. The historical part recalls first the early stages of discussions in the community leading to the formation of the collaboration in 1992. In a unique approach, the second part documents the evolution from early detector concepts to the final instrument, covering the technical, financial and human aspects. This includes the phases of construction of detector components in the various institutes around the world as well as their installation and commissioning in the underground cavern at CERN.An important part is devoted to the operation of the whole experiment. The book highlights the capabilities and physics accomplishments so far, including the Higgs boson discovery (jointly announced with CMS). It features the various aspects of a broad spectrum of activities needed to arrive at the physics results. The book includes also an outlook to the detector upgrade activities preparing the experiment for the high-luminosity LHC phase of the next decades. Last but not least, it reveals the human aspects of the large ATLAS community working together pursuing common physics goals.The book is aimed at a broad readership with interest in large science projects and their history, as well as in the human endeavour of a worldwide collaboration.

Mass Spectrometric Proteomics

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ISBN: 9783038978268 9783038978275 Year: Pages: 192 DOI: 10.3390/books978-3-03897-827-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2019-04-25 16:37:17
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As suggested by the title of this Special Issue, liquid chromatography-mass spectrometry plays a pivotal role in the field of proteomics. Indeed, the research and review articles  published in the Issue clearly evidence how the data produced by this sophisticated methodology may promote impressive advancements in this area. From among the topics discussed in the Issue, a few point to the development of  new procedures for the  optimization of the experimental conditions that should be applied  for the identification of proteins present in complex mixtures.  Other applications  described in these articles show  the huge potential of  these strategies in the protein profiling of organs and  range from  to the study of post-translational tissue modifications to the investigation of the molecular mechanisms behind human disorders and the identification of potential biomarkers of these diseases.

Structural Control of Mineral Deposits. Theory and Reality

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ISBN: 9783038977841 / 9783038977858 Year: Pages: 256 DOI: 10.3390/books978-3-03897-785-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-06-26 10:09:00
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""Structural Control"" remains a crucial point that frequently lacks in any scientific and/or economic analysis of ore deposits, whatever their type and class. The case of lode deposits is exemplary, although also other deposits, like breccia pipe, stockwerk, massive sulphides, skarn, etc., can, surprisingly, be concerned. Several concepts like the gold-bearing shear zone have not proven valid during the last few decades in terms of our understanding of gold deposit and have been totally abandoned. Additionally, the relationships between magmatism, regional tectonic context, and mineralization remain uncertain and have been debated in several recent publications. This demonstrates that this issue is still relevant, and its solution may help in the distinction between intrusion-related and orogenic deposits. In this Special Issue, we particularly invite any case study of mineral deposits, in which it has been demonstrated that structural geology may have a significant role in the establishment of the deposit model of formation and/or on exploration and exploitation programs. Examples in which the structural model diverges from those described in the classical literature are particularly welcomed, including studies in which relationships with magmatism can be suspected and/or demonstrated. Indeed, all cases that illustrate concepts that differ from the classic ones and from theoretical models may represent significant contributions to this volume.

Cancer Biomarkers and Targets in Digestive Organs

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ISBN: 9783039214631 / 9783039214648 Year: Pages: 146 DOI: 10.3390/books978-3-03921-464-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2019-12-09 11:49:15
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Identification and development of cancer biomarkers and targets have greatly accelerated progress towards precision medicine in oncology. Studies of tumor biology have not only provided insights into the mechanisms underlying carcinogenesis, but also led to discovery of molecules that have been developed into cancer biomarkers and targets. Multi-platforms for molecular characterization of tumors using next-generation genomic sequencing, immunohistochemistry, in situ hybridization, and blood-based biopsies have greatly expanded the portfolio of potential biomarkers and targets. These cancer biomarkers have been developed for diagnosis, early detection, prognosis, and prediction of treatment response. The molecular targets have been exploited for anti-cancer therapy and delivery of therapeutic agents. This Special Issue of Biomedicines focuses on recent advances in the discovery, characterization, translation, and clinical application of cancer biomarkers and targets in malignant diseases of the digestive system. The goal is to stimulate basic and translational research and clinical collaboration in this exciting field with the hope of developing strategies for prevention and early detection/diagnosis of cancer in digestive organs, and improving therapeutic and psychosocial outcomes in patients with these malignant diseases.

Keywords

colorectal cancer --- intestinal disorder --- intestinal tumors --- zebrafish --- stereotactic body radiation therapy --- immunotherapy --- biomarkers --- Asian Cancer Research Group (ACRG) --- gastric carcinoma --- molecular profiling --- precision therapy --- pembrolizumab --- predictive biomarkers --- ramucirumab --- The Cancer Genome Atlas (TCGA) --- therapeutic targets --- trastuzumab --- biliary tract carcinoma --- chemotherapy --- clinical trial --- colorectal carcinoma --- gastric carcinoma --- gastrointestinal oncology --- hepatocellular carcinoma --- immunotherapy --- pancreatic carcinoma --- targeted therapy --- Liver transplantation --- liver graft injury --- intragraft gene expression profiles --- cell adhesion molecules --- CD274 --- HFE --- hepatocellular carcinoma --- immunohistochemistry --- molecular profiling --- next-generation sequencing --- precision medicine --- predictive biomarkers --- gastrointestinal oncology --- pancreatic carcinoma --- hepatocellular carcinoma --- biliary tract carcinoma --- gastric carcinoma --- colorectal carcinoma --- stereotactic body radiation therapy --- liver transplant --- targeted therapy --- psychosocial support --- G protein–coupled receptors --- cholecystokinin --- gastrin --- gastrin-releasing peptide --- bombesin --- neurokinin --- neurotensin --- somatostatin --- circulating tumor cells --- colorectal carcinoma --- CAM invasion assay --- phenotypic mosaics --- tumor progenitor --- biomarker --- gastrointestinal malignancies --- immunotherapy --- n/a

Remote Sensing of Atmospheric Conditions for Wind Energy Applications

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ISBN: 9783038979425 / 9783038979432 Year: Pages: 290 DOI: 10.3390/books978-3-03897-943-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-06-26 08:44:06
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This Special Issue “Atmospheric Conditions for Wind Energy Applications” hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. Wind lidar technology is presented from a theoretical view on the coherent focused Doppler lidar principles. Furthermore, wind lidar for applied use for wind turbine control, wind farm wake, and gust characterizations is presented, as well as methods to reduce uncertainty when using lidar in complex terrain. Wind lidar observations are used to validate numerical model results. Wind Doppler lidar mounted on aircraft used for observing winds in hurricane conditions and Doppler radar on the ground used for very short-term wind forecasting are presented. For the offshore environment, floating lidar data processing is presented as well as an experiment with wind-profiling lidar on a ferry for model validation. Assessments of wind resources in the coastal zone using wind-profiling lidar and global wind maps using satellite data are presented..

Keywords

detached eddy simulation --- turbulence --- Lidar --- range gate length --- wind energy resources --- QuikSCAT --- WindSAT --- ASCAT --- global ocean --- wind energy --- resource assessment --- power performance testing --- wind turbine controls --- complex flow --- Doppler lidar --- coherent Doppler lidar --- wind sensing --- single-particle --- wind gusts --- Doppler lidar --- detecting and tracking --- impact prediction --- wind energy --- atmospheric boundary layer --- wind turbine wake --- wind lidar --- turbulence --- wake modeling --- field experiments --- wind energy --- atmospheric boundary layer --- wind turbine wake --- wind lidar --- virtual lidar --- turbulence --- wake modeling --- large-eddy simulations --- tropical cyclones --- Doppler Wind Lidar --- atmospheric boundary layer --- wind structure --- wind energy --- Doppler lidar --- wind turbine controls --- lidar-assisted control (LAC) --- IEA Wind Task 32 --- coastal wind measurement --- vertical Light Detection and Ranging --- NeoWins --- fetch effect --- Hazaki Oceanographical Research Station --- empirical equation --- complex terrain --- complex flow --- lidar --- VAD --- remote sensing --- wind energy --- Doppler lidar --- NWP model --- mesoscale --- Floating Lidar System (FLS), wind resource assessment --- wind atlas --- lidar --- wind --- Doppler --- aerosol --- motion estimation --- optical flow --- cross-correlation --- wind energy --- gust prediction --- variational analysis --- Doppler radar --- five-minute ahead wind power forecasting --- probabilistic forecasting --- remote sensing forecasting --- offshore wind speed forecasting --- wind energy --- remote sensing --- Doppler wind lidar --- velocity-azimuth-display algorithm --- resource assessment --- offshore --- turbulence intensity --- Doppler wind lidar --- wind energy --- aerosol --- wind turbine --- wind farm --- wake --- control --- complex terrain --- offshore

Application of Bioinformatics in Cancers

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ISBN: 9783039217885 / 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-12-09 11:49:16
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This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

comorbidity score --- mortality --- locoregionally advanced --- HNSCC --- curative surgery --- traditional Chinese medicine --- health strengthening herb --- cancer treatment --- network pharmacology --- network target --- high-throughput analysis --- brain metastases --- colorectal cancer --- KRAS mutation --- PD-L1 --- tumor infiltrating lymphocytes --- drug resistance --- gefitinib --- erlotinib --- biostatistics --- bioinformatics --- Bufadienolide-like chemicals --- molecular mechanism --- anti-cancer --- bioinformatics --- cancer --- brain --- pathophysiology --- imaging --- machine learning --- extreme learning --- deep learning --- neurological disorders --- pancreatic cancer --- TCGA --- curation --- DNA --- RNA --- protein --- single-biomarkers --- multiple-biomarkers --- cancer-related pathways --- colorectal cancer --- DNA sequence profile --- Monte Carlo --- mixture of normal distributions --- somatic mutation --- tumor --- mutable motif --- activation induced deaminase --- AID/APOBEC --- transcriptional signatures --- copy number variation --- copy number aberration --- TCGA mining --- cancer CRISPR --- firehose --- gene signature extraction --- gene loss biomarkers --- gene inactivation biomarkers --- biomarker discovery --- chemotherapy --- microarray --- ovarian cancer --- predictive model --- machine learning --- overall survival --- observed survival interval --- skin cutaneous melanoma --- The Cancer Genome Atlas --- omics --- breast cancer prognosis --- artificial intelligence --- machine learning --- decision support systems --- cancer prognosis --- independent prognostic power --- omics profiles --- histopathological imaging features --- cancer --- intratumor heterogeneity --- genomic instability --- epigenetics --- mitochondrial metabolism --- miRNAs --- cancer biomarkers --- breast cancer detection --- machine learning --- feature selection --- classification --- denoising autoencoders --- breast cancer --- feature extraction and interpretation --- concatenated deep feature --- cancer modeling --- interaction --- histopathological imaging --- clinical/environmental factors --- oral cancer --- miRNA --- bioinformatics --- datasets --- biomarkers --- TCGA --- GEO DataSets --- hormone sensitive cancers --- breast cancer --- StAR --- estrogen --- steroidogenic enzymes --- hTERT --- telomerase --- telomeres --- alternative splicing --- network analysis --- hierarchical clustering analysis --- differential gene expression analysis --- cancer biomarker --- diseases genes --- variable selection --- false discovery rate --- knockoffs --- bioinformatics --- copy number variation --- cell-free DNA --- methylation --- mutation --- next generation sequencing --- self-organizing map --- head and neck cancer --- treatment de-escalation --- HP --- molecular subtypes --- tumor microenvironment --- Bioinformatics tool --- R package --- machine learning --- meta-analysis --- biomarker signature --- gene expression analysis --- survival analysis --- functional analysis --- bioinformatics --- machine learning --- artificial intelligence --- Network Analysis --- single-cell sequencing --- circulating tumor DNA (ctDNA) --- Neoantigen Prediction --- precision medicine --- Computational Immunology

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