Automated production of readable proofs for theorems in non-Euclidean geometries

1997 ◽  
pp. 171-188 ◽  
Author(s):  
Lu Yang ◽  
Xiao-Shan Gao ◽  
Shang-Ching Chou ◽  
Jing-Zhong Zhang
Keyword(s):  
Automated Production

Comparative characteristics of provisional crowns made by CAD/CAM milling and 3D printing

2020 ◽  
pp. 45-49
Author(s):  
A.V. Stomatov ◽  
D.V. Stomatov ◽  
P.V. Ivanov ◽  
V.V. Marchenko ◽  
E.V. Piitsky ◽  
...  
Keyword(s):  
3D Printing ◽  
Good Alternative ◽  
Digital Model ◽  
Dental Practice ◽  
Production Methods ◽  
Automated Production ◽  
3D Printing Technology ◽  
Cad Cam ◽  
Milling Method ◽  
Technology Comparison

In this work, the authors studied and compared the two main methods used in dental practice for the automated production of orthopedic structures: the widely used CAD / CAM milling method and the 3D printing technology. As an object of research, temporary crowns were used, which were made on the basis of the same digital model: a) by the method of CAD / CAM milling from polymethylmethacrylate disks; b) by 3D printing from photopolymer resin based on LCD technology. Comparison of production methods and finished designs was carried out according to the following characteristics: strength, durability, aesthetic qualities, accuracy of orthopedic designs, etc. According to the results of the study, it was concluded that 3D printing can be a good alternative to CAD / CAM milling in solving problems of temporary prosthetics.

Automated production of 16α-[18F]fluoroestradiol for breast cancer imaging

1999 ◽  
Vol 26 (4) ◽  
pp. 473-479 ◽  
Author(s):  
J Römer ◽  
F Füchtner ◽  
J Steinbach ◽  
B Johannsen
Keyword(s):  
Breast Cancer ◽  
Cancer Imaging ◽  
Breast Cancer Imaging ◽  
Automated Production

scholarly journals Highlighting the versatility of the tracerlab synthesis modules. Part 1: fully automated production of [18F]labelled radiopharmaceuticals using a Tracerlab FXFN

2011 ◽  
Vol 54 (6) ◽  
pp. 292-307 ◽  
Author(s):  
Xia Shao ◽  
Raphaël Hoareau ◽  
Brian G. Hockley ◽  
Louis J. M. Tluczek ◽  
Bradford D. Henderson ◽  
...  
Keyword(s):  
Automated Production

scholarly journals Multi-curie production of gallium-68 on a biomedical cyclotron and automated radiolabelling of PSMA-11 and DOTATATE

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Helge Thisgaard ◽  
Joel Kumlin ◽  
Niels Langkjær ◽  
Jansen Chua ◽  
Brian Hook ◽  
...  
Keyword(s):  
Radiochemical Purity ◽  
High Yield ◽  
Clinical Use ◽  
Automated Production ◽  
Automated Method ◽  
Gallium 68 ◽  
High Yields ◽  
High Level ◽  
Mev Protons ◽  
Very High

Abstract Background With increasing clinical demand for gallium-68, commercial germanium-68/gallium-68 ([68Ge]Ge/[68Ga]Ga) generators are incapable of supplying sufficient amounts of the short-lived daughter isotope. In this study, we demonstrate a high-yield, automated method for producing multi-Curie levels of [68Ga]GaCl3 from solid zinc-68 targets and subsequent labelling to produce clinical-grade [68Ga]Ga-PSMA-11 and [68Ga]Ga-DOTATATE. Results Enriched zinc-68 targets were irradiated at up to 80 µA with 13 MeV protons for 120 min; repeatedly producing up to 194 GBq (5.24 Ci) of purified gallium-68 in the form of [68Ga]GaCl3 at the end of purification (EOP) from an expected > 370 GBq (> 10 Ci) at end of bombardment. A fully automated dissolution/separation process was completed in 35 min. Isolated product was analysed according to the Ph. Eur. monograph for accelerator produced [68Ga]GaCl3 and found to comply with all specifications. In every instance, the radiochemical purity exceeded 99.9% and importantly, the radionuclidic purity was sufficient to allow for a shelf-life of up to 7 h based on this metric alone. Fully automated production of up to 72.2 GBq [68Ga]Ga-PSMA-11 was performed, providing a product with high radiochemical purity (> 98.2%) and very high apparent molar activities of up to 722 MBq/nmol. Further, manual radiolabelling of up to 3.2 GBq DOTATATE was performed in high yields (> 95%) and with apparent molar activities (9–25 MBq/nmol) sufficient for clinical use. Conclusions We have developed a high-yielding, automated method for the production of very high amounts of [68Ga]GaCl3, sufficient to supply proximal radiopharmacies. The reported method led to record-high purified gallium-68 activities (194 GBq at end of purification) and subsequent labelling of PSMA-11 and DOTATATE. The process was highly automated from irradiation through to formulation of the product, and as such comprised a high level of radiation protection. The quality control results obtained for both [68Ga]GaCl3 for radiolabelling and [68Ga]Ga-PSMA-11 are promising for clinical use.

Enabler für die personalisierte Produktion*/Automated additive manufacturing processes as enabler for personalized production – A sample application for tailor-made products

2019 ◽  
Vol 109 (03) ◽  
pp. 179-183
Author(s):  
J. Fischer ◽  
P. Springer ◽  
S. Fulga-Beising ◽  
K. Abu El-Qomsan
Keyword(s):  
Data Analysis ◽  
Additive Manufacturing ◽  
Manufacturing System ◽  
Personal Data ◽  
Industrie 4.0 ◽  
Manufacturing Processes ◽  
Automated Production ◽  
Sample Application

Das Fraunhofer IPA forscht an Workflows und Methoden für die Herstellung personalisierter Produkte von der Erfassung persönlicher Daten über die Analyse und Modellierung bis hin zur flexiblen, automatisierten Fertigung der Produkte. Der Beitrag beschreibt einen beispielhaften Anwendungsfall: die Herstellung einer personalisierten Brille. Für die nötige Flexibilität in der Fertigung wurde ein vollständig automatisiertes additives Fertigungssystem entwickelt, das im Applikationszentrum Industrie 4.0 des Fraunhofer IPA und des Instituts für Industrielle Fertigung und Fabrikbetrieb IFF der Universität Stuttgart integriert ist.   Fraunhofer IPA examines workflows and methods for the production of personalized products from the acquisition of personal data, analysis and modelling to the flexible, automated production of the products. This paper exemplifies an application using the production of personalized glasses. For this purpose, a fully automated additive manufacturing system was developed to provide the necessary flexibility in manufacturing.

Automated Production Optimisation and Forecasting using Machine Learning

2020 ◽  
Author(s):  
Shashipal Reddy Masini ◽  
Aditya Kumar ◽  
Nitish Kannan ◽  
Shubham Goswami
Keyword(s):  
Machine Learning ◽  
Automated Production

Smart & automated production based on MQTT

2021 ◽  
Author(s):  
Christian Uberall ◽  
Marcel Bartholet ◽  
Roman Khudaybergenov
Keyword(s):  
Automated Production

AIoT module development for automated production

2021 ◽  
Author(s):  
En-Shuo Cheng ◽  
Jun-Yi Yang ◽  
Jeng-Dao Lee ◽  
Kuo-Yi Chen ◽  
Nian-Ze Hu ◽  
...  
Keyword(s):  
Automated Production ◽  
Module Development
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