Results 131 to 140 of about 3,785,147 (434)
Analytical and experimental study of feed rate in high-speed milling [PDF]
, 2013 In the context of high-speed milling (HSM), during the machining process dynamic machine response has to be identified. To achieve this, we have to calculate the feed rate evolution in linear and circular interpolation according to dynamic performance of
Baili, Maher +4 more
core +2 more sources
PLoS Genetics, 2008 Until recently, sequencing the entire genome of an organism was a major endeavor. New technologies are transforming this task into routine practice and launching a new assault on whole-genome sequencing. It is more than 30 years since Sir Fred Sanger and colleagues published their method for sequencing DNA [1].
Leonid Kruglyak, David Gresham
openaire +5 more sources
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Machine Learning for Clinical Predictive Analytics [PDF]
arXiv, 2019 In this chapter, we provide a brief overview of applying machine learning techniques for clinical prediction tasks. We begin with a quick introduction to the concepts of machine learning and outline some of the most common machine learning algorithms. Next, we demonstrate how to apply the algorithms with appropriate toolkits to conduct machine learning
arxiv
Linear Classification of data with Support Vector Machines and Generalized Support Vector Machines [PDF]
, 2016 In this paper, we study the support vector machine and introduced the notion of generalized support vector machine for classification of data. We show that the problem of generalized support vector machine is equivalent to the problem of generalized variational inequality and establish various results for the existence of solutions.
arxiv +1 more source
Experimental study of coated carbide tools behaviour: application for Ti-5-5-5-3 turning [PDF]
, 2011 The goal of this paper is to study the relation between the input data (conditions and geometry of cut) and answers (wear of tool, forces and cutting temperatures) when machining the Ti-5-5-5-3 alloy treated. This study has shown that the cutting process
Baili, Maher +3 more
core +3 more sources
Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression
Molecular Oncology, EarlyView.Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park +6 more
wiley +1 more source
Field Induced Jet Micro-EDM [PDF]
, 2013 Electrical discharge machining (EDM) is of the potential of micro/nano meter scale machining capability. However, electrode wear in micro-EDM significantly deteriorates the machining accuracy, thus, it needs to be compensated in process.
Kang, Xiaoming +2 more
core +1 more source
Solving Engineering Problems with Machine Learning Research and Society: Machine Ethics, 2020 Keynote and introduction to the section "Research and Society" of ERCIM News 122, July 2020.
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Simulating Turing machines on Maurer machines
Journal of Applied Logic, 2008 AbstractIn a previous paper, we used Maurer machines to model and analyse micro-architectures. In the current paper, we investigate the connections between Turing machines and Maurer machines with the purpose to gain an insight into computability issues relating to Maurer machines. We introduce ways to simulate Turing machines on a Maurer machine which,
Cornelis A. Middelburg +2 more
openaire +4 more sources