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Cross-Sectional Research Design
This chapter addresses cross-sectional research designs’ peculiarities, characteristics, and major fallacies. The significant advantage of...
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Introduction to Cross-Sectional Imaging
A brief introduction to cross-sectional imaging modalities including ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) is...
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Cross-Sectional Study: The Role of Observation in Epidemiological Studies
Commonly arising from empirical observations or from opportunistic case reports/case series, a cross-sectional study is often the first step in a...
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Cross-Sectional Atlas of Human Brainstem With 0.06-mm Pixel Size Color Images
This is superb cross-sectional atlas of human brainstem, which based on color images with 0.06-mm pixel size of Visible Korean. It wears 48 bits true...
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Cross-Sectional Imaging in Skeletal Oncology
Clinical presentation of bone tumors is challenging. Imaging has a crucial position in diagnosing and managing bone tumors, which ultimately warrants...
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Cross-Sectional Imaging in Skeletal Oncology
Clinical presentation of bone tumors is challenging. Imaging has a crucial position in diagnosing and managing bone tumors, which ultimately warrants...
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Cross-sectional Stochastic Frontier Parameter Estimator Using Kulback-Leibler Divergence
A frontier analysis builds a linear econometric model including an individual (producer, firm) non-negative random effect called inefficiency. A...
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Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network
Fetal brain magnetic resonance imaging (MRI) is becoming more important for early brain assessment in prenatal examination. Fast acquisition of three...
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Cross-Sectional Themes
The chapter “Cross-Sectional Themes” deals with all topics that are relevant across projects. This includes requirements, change management, project...
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Causal inference from cross-sectional earth system data with geographical convergent cross map**
Causal inference in complex systems has been largely promoted by the proposal of some advanced temporal causation models. However, temporal models...
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Dynamic Point Cloud Compression with Cross-Sectional Approach
A dynamic point cloud (DPC) is a set of points irregularly sampled from the continuous surfaces of objects or scenes, comprising texture (i.e.,...
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Small Area Estimation of Mean Years of Schooling Under Time Series and Cross-sectional Models
Small area estimation develops within the framework of time series and cross-sectional models. The restricted estimation maximum likelihood method...
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Sectional Shape Functions of Thin-Walled Beams with General Cross-Section Shapes
In Chaps. 4, 5, 6, 7, the shape functions of the deformable section modes of a box beam were derived in an approach with three key steps. Recursive...
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Effect of Initial Cross-Sectional Shape on Bent Shape in “Bending and Compression Method” for Forming In-Plane Bent Sheet Metal
This study investigates forming methods that enable high formability in forming in-plane bent parts using finite element analysis (FEA). In-plane...
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Cross-sectional data accurately model longitudinal growth in the craniofacial skeleton
Dense, longitudinal sampling represents the ideal for studying biological growth. However, longitudinal samples are not typically possible, due to...
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Cross-sectional investigation
This chapter deals with the feasibility of using alternative elements in the process chain, such as various substrate materials, laser systems and AM...
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Improved inference for interactive fixed effects model under cross-sectional dependence
This paper proposes an inference procedure for the interactive fixed effects model that is valid in the presence of cross-sectional dependence. When...
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Testing for Granger causality in heterogeneous panels with cross-sectional dependence
This paper proposes a panel Granger causality approach for heterogeneous panels with cross-sectional dependence. We define a panel VAR model with...
