Hospital-based RNA Therapeutics

Hospital-based programs democratize mRNA therapeutics by facilitating the processes to translate a novel RNA idea from the bench to the clinic. Because mRNA is essentially biological software, therapeutic RNA constructs can be rapidly developed. The generation of small batches of clinical grade mRNA to support IND applications and first-in-man clinical trials, as well as personalized mRNA therapeutics delivered at the point-of-care, is feasible at a modest scale of cGMP manufacturing. Advances in mRNA manufacturing science and innovations in mRNA biology, are increasing the scope of mRNA clinical applications.

Special Issue on Remote Micro- and Nano-Manufacturing Science, Engineering, and Education

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Multimedia Competencies for University Staff to Empower Manufacturing Science Education

The paper aims describing a collaborative international initiative of four European universities to develop a training program for supporting university staff in creating and using multimedia resources effectively. Thus, teaching, researcher and administrative staff from higher education institutions will develop their digital skills to create more realistic and attractive content that should improve university prestige through a better communication process with the stakeholders. We relate the presented approach to MUST project (Multimedia Competencies for University Staff to Empower University - Community Collaborations, 2020-1-RO01-KA203-080399), that aims develop and implement a new multimedia curriculum and training program. The training curriculum and the created educational resources make up a dedicated service offered by universities through DigiCoaches who will provide training to other internal/external users/trainees in creating-using multimedia technologies effectively.

AGENT-BASED MODELING AS THE BASIS FOR SUSTAINABLE DEVELOPMENT OF THE MODERN ECONOMY

Agent-based (simulation) modeling is one of the methods of studying complex systems, processes, and phenomena in various spheres of human activity: business, service, manufacturing, science, medicine, transport services, and logistics. In this study, a model is built – an approximation to a real object (system, process), especially in relation to the most important economic properties for the study. By experimenting with the model, you can extract indicators that are of interest for the functioning of the real enterprise system. Having obtained sufficiently stable statistics from these data, you can use it in the future for economic planning or forecasting, which is an essential tool for sustainable development in general.

MODEL OF INTEGRATED SYSTEM FOR QUALITY SUPPORT AT LIFE STAGES OF SCIENCE INTENSIVE PRODUCT

The work purpose is the development of the integrated model linking the information flows of product life cycle (PLC) processes for control effectiveness increase in manufacturing science intensive products. During the investigation fulfillment there was used a method for the acting system analysis of an information flow at a science intensive enterprise on the basis of the regulation basis studied. The result of the work is a single information space model created first for science intensive product. Conclusions: the model developed can be used by companies dealing with manufacturing science intensive product, for work effectiveness increase.

MODEL OF INTEGRATED SYSTEM FOR QUALITY SUPPORT AT LIFE STAGES OF SCIENCE INTENSIVE PRODUCT

The work purpose is the development of the integrated model linking the information flows of product life cycle (PLC) processes for control effectiveness increase in manufacturing science intensive products. During the investigation fulfillment there was used a method for the acting system analysis of an information flow at a science intensive enterprise on the basis of the regulation basis studied. The result of the work is a single information space model created first for science intensive product. Conclusions: the model developed can be used by companies dealing with manufacturing science intensive product, for work effectiveness increase.

Koch Infinite Fractal Curve Implementation for the Space Filling Problem in Manufacturing

Space-?filling problem has been one of the most intriguing problems in the domain of manufacturing science and engineering. Several approaches have been applied to solve the problem, ranging from in?finite curves (Gospel Curve) to straight-line approaches. This paper introducesa new approach of space fi?lling using fractal curves. Fractal curves are de?ned as mathematical curves whose shape retains the same general pattern of irregularity, regardless of how much magnifi?ed the shape has been considered, basically the shape of a fractal. These curves are widespread in nature and hence using the same, a novel method has been prepared for generating a fractal curve to be implemented in the additive manufacturing process.

National Metrology Infrastructure—Support for Analytical Laboratory Activity

Reliable, traceable, and comparable measurements provide a rational basis for evaluating the quality of any result and the starting point for laboratory accreditation. Accurate and compatible measurements are, at present, essential for manufacturing, science, and trade. Additionally, a wide range of aspects of the quality of life, from healthcare to sport, is underpinned by reliable measurement results. Starting from the role of a National Institute of Metrology (INM) in securing traceability of all measurements, regardless of their end-use or level of accuracy, some aspects related to the present state-of-art in the field of metrology in Romania are presented.

The Pransky interview: Brian Carlisle, pioneer, robotics entrepreneur, President and Co-Founder of Precise Automation

Purpose The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding his pioneering efforts in the industrial robot industry and the commercialization and challenges of bringing robotic inventions to market. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Brian Carlisle, President and Co-founder of Precise Automation, a robot manufacturer that specializes in collaborative robots. Carlisle discusses the highlights of his 40-year career that led to groundbreaking innovations in small parts assembly and handling robots, along with some of the challenges. He also shares his thoughts on the future of the industry. Findings Brian Carlisle received his BS and MS degrees in Mechanical Engineering from Stanford University. After Stanford, Carlisle and colleague Dr Bruce Shimano worked for Vicarm, a three-person company started by robotics pioneer Victor Scheinman. Vicarm was sold to Unimation and Carlisle became Unimation’s Director of R&D where he and his team developed the PUMA™ series of electric robots and grew sales from $0 to $40m in five years. In 1983, Carlisle and Shimano co-founded Adept Technology and as its CEO for 20 years, Carlisle grew Adept to over $100m in robot sales. In 2004, Carlisle co-founded with Shimano, Precise Automation, and is the President and CEO. Originality/value Brian Carlisle is a pioneer of the small parts assembly and handling robot. He was one of the key members of the team that developed the PUMA™ robot for Unimation. The PUMA™ robot was the watershed product that launched the assembly robot business in the USA and Europe. At Adept, he led the design of the first Direct Drive SCARA Robot and under his helm, Precise Automation introduced the first commercially available collaborative robots. Carlisle was President of the Robotic Industries Association for three years, is the recipient of the Joseph Engelberger Award for Leadership in Robotics, and an elected IEEE Fellow. He has served on the Board of the National Coalition for Advanced Manufacturing, the Boards of the National Center for Manufacturing Science, the Automation Forum of NEMA and is a founding member of the National Electronics Manufacturing Initiative. He holds multiple patents for robot designs.

Challenges of Digital Twin System

Today’s manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products. The Industry 4.0 conceptualization has several potentials, i.e. flexibility in business and manufacturing processes, where the intelligent and interconnected systems, in particular the Cyber-Physical Production System (CPPS), play a vital role in the whole lifecycle of eco-designed products. In particular, the CPPS represents a suitable way for manufacturers that want to involve their customers, delivering instructions to machines about their specific orders and follow its progress along the production line, in an inversion of normal manufacturing. The development of Info Communication Technologies (ICT) and Manufacturing Science and Technology (MST) enables the innovation of Cyber-Physical Production Systems. However, there are still important challenges that need to be addressed in particular at technological and data analysis level with the implementation of Deep Learning analysis.