Development of Prediction Method for Dimensional Stability of 3D-Printed Objects

Fused deposition modeling (FDM), as one of the additive manufacturing processes, is known for strong layer adhesion suitable for prototypes and end-use items. This study used a multiple regression model and statistical analysis to explore the dimensional accuracy of FDM objects. Factors such as inclination angle, layer thickness, support space, and raster angle were examined. Machine learning models (Gaussian process regression (GPR), support vector machines (SVM), and artificial neural network (ANN)) predicted dimensions using 81 datapoints. The mean squared dimensional error (MSDE) between the measured and designed surface profiles was selected as an output for the dimensional accuracy. Support spacing, layer thickness, and raster angle were determined to be statistically significant, and all factors were confirmed as significant predictors. The coefficients of determination for multiple linear regression, GPR, SVM, and ANN models were 76%, 98%, 93%, and 99%, respectively. The mean absolute errors (MAEs)—errors between the measured and the predicted MSDEs—were 0.020 mm and 0.034 mm, respectively, for GPR and SVM models. The MAEs for ANN models were 0.0055 mm for supporting cases and 2.1468 x 10 -5 mm for non-supporting cases

Review: Scaffold Characteristics, Fabrication Methods, and Biomaterials for the Bone Tissue Engineering

The goal of tissue engineering is to replace or regenerate damaged tissue. Scaffold fabrications and biomaterial selections are crucial factors for artificial tissue and bone tissue engineering, which are important due to the limited availability of tissue donors. This paper reviews the scaffold design considerations, manufacturing methods, and biomaterials for bone tissue engineering, and discusses current challenges and future perspectives. Scaffolds are required to have non-hazardous properties such as biocompatibility and biodegradability for the human body, and the necessary mechanical properties to support body weight, or to perform other roles, depending on the type of tissue. Moreover, scaffold structures such as porosity, pore size, and pore shape should be optimized to achieve cell viability and proliferation. Many conventional fabrication methods including thermally induced phase separation, emulsion freeze-drying, solvent casting, gas forming, and electrospinning have been studied and developed, but 3D printing is more suitable for bone tissue engineering because of its ability to manufacture complicated structures. Biomaterials can be divided into four categories: polymer, ceramic, metal, and composites. Composites blend two or more biomaterials to achieve desired properties for matching individual patient conditions. Finding a balance between fabrication method and biomaterial selection, in order to match properties between the scaffold and the target tissue, will be key to the field of bone tissue engineering in the future

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The lifetime of the B0 s meson is measured in the decay channel B0 s → J=ψπþπ− with 880 ≤ Mπþπ− ≤ 1080 MeV=c2, which is mainly a CP-odd state and dominated by the f0ð980Þ resonance. In 10.4 fb−1 of data collected with the D0 detector in Run II of the Tevatron, the lifetime of the B0 s meson is measured to be τðB0 s Þ ¼ 1.70 0.14ðstatÞ 0.05ðsystÞ ps. Neglecting CP violation in B0 s=B¯ 0 s mixing, the measurement can be translated into the width of the heavy mass eigenstate of the B0 s , ΓH ¼ 0.59 0.05ðstatÞ 0.02ðsystÞ ps−1. D

Measurement of the W+bW+b-jet and W+cW+c-jet differential production cross sections in ppˉp\bar{p} collisions at s=1.96\sqrt{s}=1.96 TeV

We present a measurement of the cross sections for the associated production of a $W$ boson with at least one heavy quark jet, $b$ or $c$, in proton-antiproton collisions. Data corresponding to an integrated luminosity of 8.7 fb$^{-1}$ recorded with the D0 detector at the Fermilab Tevatron \ppbar Collider at $\sqrt{s}=1.96$ TeV are used to measure the cross sections differentially as a function of the jet transverse momenta in the range 20 to 150 GeV. These results are compared to calculations of perturbative QCD theory as well as predictions from Monte Carlo generators.We present a measurement of the cross sections for the associated production of a $W$ boson with at least one heavy quark jet, $b$ or $c$, in proton-antiproton collisions. Data corresponding to an integrated luminosity of 8.7 fb$^{-1}$ recorded with the D0 detector at the Fermilab Tevatron \ppbar Collider at $\sqrt{s}=1.96$ TeV are used to measure the cross sections differentially as a function of the jet transverse momenta in the range 20 to 150 GeV. These results are compared to calculations of perturbative QCD theory as well as predictions from Monte Carlo generators.We present a measurement of the cross sections for the associated production of a W boson with at least one heavy quark jet, b or c , in proton–antiproton collisions. Data corresponding to an integrated luminosity of 8.7 fb−1 recorded with the D0 detector at the Fermilab Tevatron pp¯ Collider at s=1.96 TeV are used to measure the cross sections differentially as a function of the jet transverse momenta in the range 20 to 150 GeV. These results are compared to calculations of perturbative QCD theory as well as predictions from Monte Carlo generators