Titlebook: Hydraulische Pressen und Druckflüssigkeitsanlagen; Erster Band: Schmied Ernst Müller Book 1962Latest edition Springer-Verlag Berlin Heidelb

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Hélène Fargier,Régis Sabbadindustry. During this time the Substations Study Committee has addressed many and varied topics associated with all aspects of high voltage substations, and this work has been published in the form of Technical Brochures, Electra Papers, Session Papers, and Symposium and Colloquium Papers, and the maj

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Examining Gender-Responsive Risk Factors That Predict Recidivism for People Convicted of Cybercrimessting the risk and needs assessment results among women and men convicted of cybercrimes in the United States. Assessments from 4457 individuals convicted of cybercrimes (both cyber-enabled and cyber-dependent) during 2005–2015 were included in this study. The domains from assessment results were us

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Design principles for tactile interactionn overlooked or, at most, employed on an ad hoc basis. One contributing factor to the reluctance of interface designers to consider using tactual feedback is the lack of established design principles for doing so. A preliminary set of principles for tactile interface design are described. These have

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Addictive

Digitalisation and Technological Integration for Sustainable Tourism in South Africaommunity. One method widely proposed to boost sustainability is adopting and integrating digital technologies. However, studies that provide a detailed picture of digitalisation and technology integration focusing on sustainability in the tourism industry are either scant or embryonic. This study ai

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Test Automation with Build and Release,igung, Montage und Prüfung bis zur Auslieferung beim Kunden. Die Pumpen von Scherzinger finden ihren Einsatz in den sechs Gesch?ftsfeldern Automotive, Energy, Chemical, Medical, Transfer and Lube sowie Service (Abb. 3.3.1).

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A New Dataset and Recognition for Egocentric Microgesture Designed by Ergonomistsr extremity. Additionally, we collected a microgesture dataset of 2900 samples and utilized the C3D model to recognize the microgesture dataset. Finally, we achieved a recognition accuracy of 93.4% on the microgestures dataset.