Search results for "Mach"

showing 10 items of 3360 documents

The Metabolic Building Blocks of a Minimal Cell

2020

This article belongs to the Section Evolutionary Biology.

0301 basic medicineMinimal gene set machineryMetabolic networkBacterial genome sizeComputational biologyMetabolic networksBiologyGenomeGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciences0302 clinical medicineminimal gene set machinerylcsh:QH301-705.5Nasuia deltocephalinicolaGeneral Immunology and Microbiologydirected acyclic graphsDirected acyclic graphDirected acyclic graphs030104 developmental biologylcsh:Biology (General)Essential geneminimal cellsMinimal cellsCore (graph theory)metabolic networksGraph (abstract data type)General Agricultural and Biological Sciences030217 neurology & neurosurgeryBiology
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Comparative evaluation of shear bond strength of universal dental adhesives : an in vitro study

2017

Background Patient demand for tooth colored restorations and desire for minimally invasive restorations have made composites an indispensable part of the restorative process. An important factor affecting the intra-oral performance of composite restorations is bonding. Material and methods Ninty six freshly extracted molar teeth were collected and occlusal 3mm is removed using a diamond disc to expose dentine. Following with samples were divided in to two main groups (self-etch & total etch). Each main group is again sub divided in to three groups each according to bonding agent used (Tetric N- Bond Universal, Single Bond Universal, Tetric N Bond Total etch in total etch group and Clear Fil…

0301 basic medicineMolar030103 biophysicsUniversal testing machineMaterials sciencebusiness.industryBond strengthComposite numberDentistry030206 dentistryDentine bonding agents:CIENCIAS MÉDICAS [UNESCO]Shear bond03 medical and health sciences0302 clinical medicinestomatognathic systemUNESCO::CIENCIAS MÉDICASSingle bondAdhesiveComposite materialbusinessGeneral Dentistry
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2016

AbstractThe different factors involved in the growth process of complex networks imprint valuable information in their observable topologies. How to exploit this information to accurately predict structural network changes is the subject of active research. A recent model of network growth sustains that the emergence of properties common to most complex systems is the result of certain trade-offs between node birth-time and similarity. This model has a geometric interpretation in hyperbolic space, where distances between nodes abstract this optimisation process. Current methods for network hyperbolic embedding search for node coordinates that maximise the likelihood that the network was pro…

0301 basic medicineMultidisciplinaryGeometric analysisComputer sciencebusiness.industryHyperbolic spaceNode (networking)Complex systemNonlinear dimensionality reductionComplex networkTopologyMachine learningcomputer.software_genreNetwork topology01 natural sciences03 medical and health sciences030104 developmental biology0103 physical sciencesEmbeddingArtificial intelligence010306 general physicsbusinesscomputerScientific Reports
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Toward a direct and scalable identification of reduced models for categorical processes.

2017

The applicability of many computational approaches is dwelling on the identification of reduced models defined on a small set of collective variables (colvars). A methodology for scalable probability-preserving identification of reduced models and colvars directly from the data is derived—not relying on the availability of the full relation matrices at any stage of the resulting algorithm, allowing for a robust quantification of reduced model uncertainty and allowing us to impose a priori available physical information. We show two applications of the methodology: (i) to obtain a reduced dynamical model for a polypeptide dynamics in water and (ii) to identify diagnostic rules from a standar…

0301 basic medicineMultidisciplinarybusiness.industryComputer scienceDimensionality reductionBayesian inferenceMachine learningcomputer.software_genre01 natural sciencesReduction (complexity)010104 statistics & probability03 medical and health sciencesIdentification (information)030104 developmental biologyPhysical informationPhysical SciencesA priori and a posterioriArtificial intelligenceData mining0101 mathematicsCluster analysisbusinessCategorical variablecomputerProceedings of the National Academy of Sciences of the United States of America
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Neanderthal behaviour, diet, and disease inferred from ancient DNA in dental calculus

2017

Weyrich, Laura S. et al.

0301 basic medicineNeanderthalTime Factorsved/biology.organism_classification_rank.speciesneanderthal01 natural sciencesGenomeBelgiumWoolly rhinocerosCalculusDental CalculusHistory AncientNeanderthalsMultidisciplinarygeography.geographical_feature_categoryStomachCarnivoryMouflonIntestinesCavesHealthVegetarians010506 paleontologyMeatPan troglodytesBiologyMethanobrevibacter03 medical and health sciencesFood PreferencesCavebiology.animalAnimalsHumansDNA AncientSymbiosisancient DNAPerissodactyla0105 earth and related environmental sciencesgeographyMouthSheepved/biologyPenicilliumEnterocytozoonbiology.organism_classificationDietstomatognathic diseases030104 developmental biologyAncient DNAMetagenomicsSpainMethanobrevibacter oralisGenome Bacterial
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A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.

2018

International audience; In this article, a new Python package for nucleotide sequences clustering is proposed. This package, freely available on-line, implements a Laplacian eigenmap embedding and a Gaussian Mixture Model for DNA clustering. It takes nucleotide sequences as input, and produces the optimal number of clusters along with a relevant visualization. Despite the fact that we did not optimise the computational speed, our method still performs reasonably well in practice. Our focus was mainly on data analytics and accuracy and as a result, our approach outperforms the state of the art, even in the case of divergent sequences. Furthermore, an a priori knowledge on the number of clust…

0301 basic medicineNematoda01 natural sciencesGaussian Mixture Model[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]ComputingMilieux_MISCELLANEOUScomputer.programming_language[STAT.AP]Statistics [stat]/Applications [stat.AP]Phylogenetic treeDNA ClusteringGenomicsHelminth ProteinsComputer Science Applications[STAT]Statistics [stat]010201 computation theory & mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Data analysisEmbeddingA priori and a posteriori[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Health Informatics0102 computer and information sciences[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Laplacian EigenmapsAnimalsCluster analysis[SDV.GEN]Life Sciences [q-bio]/GeneticsModels Geneticbusiness.industryPattern recognitionNADH DehydrogenaseSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationVisualization030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONPlatyhelminths[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Programming LanguagesArtificial intelligence[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputerComputers in biology and medicine
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2020

Human movements are characterized by highly non-linear and multi-dimensional interactions within the motor system. Recently, an increasing emphasis on machine-learning applications has led to a significant contribution to the field of gait analysis, e.g., in increasing the classification performance. In order to ensure the generalizability of the machine-learning models, different data preprocessing steps are usually carried out to process the measured raw data before the classifications. In the past, various methods have been used for each of these preprocessing steps. However, there are hardly any standard procedures or rather systematic comparisons of these different methods and their im…

0301 basic medicineNormalization (statistics)HistologyComputer sciencebusiness.industryBiomedical EngineeringBioengineering02 engineering and technology021001 nanoscience & nanotechnologyPerceptronMachine learningcomputer.software_genreConvolutional neural networkRandom forestSupport vector machine03 medical and health sciences030104 developmental biologyGait analysisArtificial intelligenceData pre-processing0210 nano-technologybusinesscomputerBiotechnologyFrontiers in Bioengineering and Biotechnology
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Efficacy of Sequential Ipilimumab Monotherapy versus Best Supportive Care for Unresectable Locally Advanced/Metastatic Gastric or Gastroesophageal Ju…

2017

Abstract Purpose: Ipilimumab, a monoclonal antibody that blocks cytotoxic T-lymphocyte–associated protein-4 interactions, enhances T-cell activation and promotes tumor immunity. This phase II study evaluated the safety and efficacy of ipilimumab monotherapy versus best supportive care (BSC) among patients with advanced/metastatic gastric or gastroesophageal junction cancer who achieved at least stable disease with first-line chemotherapy. Experimental Design: Eligible patients were randomized to ipilimumab 10 mg/kg every 3 weeks for four doses, then 10 mg/kg every 12 weeks for up to 3 years, or BSC, which could include continuation of fluoropyrimidine until progression or toxicity. The prim…

0301 basic medicineOncologyAdultMaleCancer Researchmedicine.medical_specialtyDrug-Related Side Effects and Adverse ReactionsEsophageal NeoplasmsPhases of clinical researchIpilimumabDisease-Free Survivallaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled triallawStomach NeoplasmsInternal medicineAntineoplastic Combined Chemotherapy ProtocolsmedicineClinical endpointHumansAdverse effectAgedbusiness.industryCancerMiddle AgedInterim analysismedicine.diseaseIpilimumabSurgeryClinical trial030104 developmental biologyOncology030220 oncology & carcinogenesisFemaleEsophagogastric Junctionbusinessmedicine.drugClinical cancer research : an official journal of the American Association for Cancer Research
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Efficacy and safety of everolimus in extrapancreatic neuroendocrine tumor: a comprehensive review of literature

2016

BACKGROUND Everolimus, an oral mTOR (mammalian target of rapamycin) inhibitor, is currently approved for the treatment of progressive pancreatic neuroendocrine tumors (NETs). Although promising, only scattered data, often from nondedicated studies, are available for extrapancreatic NETs. PATIENTS AND METHODS A systematic review of the published data was performed concerning the use of everolimus in extrapancreatic NET, with the aim of summarizing the current knowledge on its efficacy and tolerability. Moreover, the usefulness of everolimus was evaluated according to the different sites of the primary. RESULTS The present study included 22 different publications, including 874 patients and 4…

0301 basic medicineOncologyCancer ResearchLung NeoplasmsAdrenal Gland NeoplasmsColorectal NeoplasmNeuroendocrine tumorsSettore MED/13 - EndocrinologiaAntineoplastic Agent0302 clinical medicineEndocrinologyNeuroendocrine tumors; everolimus; extrapancreatic; efficacy; safetyProspective cohort studyNeuroendocrine TumorsEverolimuOncologyTolerability030220 oncology & carcinogenesisIleal NeoplasmSafetyColorectal Neoplasmsmedicine.drugHumanmedicine.medical_specialtyEfficacyAntineoplastic AgentsPheochromocytomaExtrapancreatic neuroendocrine tumorDisease-Free Survival03 medical and health sciencesNeuroendocrine tumorStomach NeoplasmsStomach NeoplasmInternal medicinemedicineHumansEverolimusThyroid NeoplasmsAdverse effectEverolimusbusiness.industryRetrospective cohort studymedicine.diseaseDiscontinuationCarcinoma NeuroendocrineClinical trialIleal NeoplasmsAdrenal Gland NeoplasmLung Neoplasm030104 developmental biologyEndocrinologybusiness
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Maintenance avelumab versus continuation of first-line chemotherapy in gastric cancer: JAVELIN Gastric 100 study design.

2018

Avelumab is a human anti-PD-L1 IgG1 monoclonal antibody that has shown antitumor activity in early phase studies in advanced/metastatic gastric/gastroesophageal junction cancer, including as first-line maintenance therapy. Here, we describe the design of JAVELIN Gastric 100 (NCT02625610), an open-label, Phase III trial. A total of 499 patients with locally advanced/metastatic HER2- gastric/gastroesophageal junction cancer adenocarcinoma, who had achieved at least stable disease following 12 weeks of first-line oxaliplatin/fluoropyrimidine chemotherapy, have been randomized 1:1 to receive avelumab maintenance therapy or continue chemotherapy. The primary objective is to demonstrate superior…

0301 basic medicineOncologyCancer Researchmedicine.medical_specialtyBevacizumabmedicine.medical_treatmentAntineoplastic AgentsAntibodies Monoclonal HumanizedMaintenance ChemotherapyAvelumab03 medical and health sciences0302 clinical medicineMaintenance therapyStomach NeoplasmsInternal medicineBiomarkers TumorMedicineHumansMolecular Targeted TherapyNeoplasm StagingChemotherapybusiness.industryCancerAntibodies MonoclonalGeneral Medicinemedicine.diseaseOxaliplatin030104 developmental biologyTreatment OutcomeOncology030220 oncology & carcinogenesisMonoclonalAdenocarcinomabusinessmedicine.drugFuture oncology (London, England)
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