Automatic case acquisition from texts for process-oriented case-based reasoning

This paper introduces a method for the automatic acquisition of a rich case representation from free text for process-oriented case-based reasoning. Case engineering is among the most complicated and costly tasks in implementing a case-based reasoning system. This is especially so for process-oriented case-based reasoning, where more expressive case representations are generally used and, in our opinion, actually required for satisfactory case adaptation. In this context, the ability to acquire cases automatically from procedural texts is a major step forward in order to reason on processes. We therefore detail a methodology that makes case acquisition from processes described as free text possible, with special attention given to assembly instruction texts. This methodology extends the techniques we used to extract actions from cooking recipes. We argue that techniques taken from natural language processing are required for this task, and that they give satisfactory results. An evaluation based on our implemented prototype extracting workflows from recipe texts is provided.Comment: Sous presse, publication pr\'evue en 201

Loop assembly: a simple and open system for recursive fabrication of DNA circuits.

High efficiency methods for DNA assembly have enabled routine assembly of synthetic DNAs of increased size and complexity. However, these techniques require customisation, elaborate vector sets or serial manipulations for the different stages of assembly. We have developed Loop assembly based on a recursive approach to DNA fabrication. The system makes use of two Type IIS restriction endonucleases and corresponding vector sets for efficient and parallel assembly of large DNA circuits. Standardised level 0 parts can be assembled into circuits containing 1, 4, 16 or more genes by looping between the two vector sets. The vectors also contain modular sites for hybrid assembly using sequence overlap methods. Loop assembly enables efficient and versatile DNA fabrication for plant transformation. We show construction of plasmids up to 16 genes and 38 Kb with high efficiency (>80%). We have characterized Loop assembly on over 200 different DNA constructs and validated the fidelity of the method by high-throughput Illumina plasmid sequencing. Our method provides a simple generalised solution for DNA construction with standardised parts. The cloning system is provided under an OpenMTA license for unrestricted sharing and open access. This article is protected by copyright. All rights reserved.Support for the authors was provided by Becas Chile and the Cambridge Trust (to B.P.), University of Cambridge BBSRC DTP programme (to M.D.), and the Biotechnology and Biological Sciences Research Council and Engineering and Physical Sciences Research Council [OpenPlant Grant No. BB/L014130/1] (to N.P., F.F. and J.H.). Laboratory automation, nextgeneration sequencing and library construction was delivered via the BBSRC National Capability in Genomics (BB/CCG1720/1) at Earlham Institute. F.F. acknowledges funding from CONICYT Fondecyt Iniciación 11140776. F.F. and R.A.G. acknowledge funding from Fondo de Desarrollo de Areas Prioritarias (FONDAP) Center for Genome Regulation (15090007) and Millennium Nucleus Center for Plant Systems and Synthetic Biology (NC130030)

Mode Selection for Component Mode Synthesis with Guaranteed Assembly Accuracy

In this work, a modular approach is introduced to select the most important eigenmodes for each component of a composed structural dynamics system to obtain the required accuracy of the reduced-order assembly model. To enable the use of models of complex (structural) dynamical systems in engineering practice, e.g., in a design, optimization and/or control context, the complexity of the models needs to be reduced. When the model consist of an assembly of multiple interconnected structural components, component mode synthesis is often the preferred model reduction method. The standard approach to component mode synthesis for such system is to select the eigenmodes of a component that are most important to accurately model the dynamic behavior of this component in a certain frequency range of interest. However, often, a more relevant goal is to obtain, in this frequency range, an accurate model of the assembly. In the proposed approach, accuracy requirements on the level of the assembly are translated to accuracy requirements on component level, by employing techniques from the field of systems and control. With these component-level requirements, the eigenmodes that are most important to accurately model the dynamic behavior of the assembly can be selected in a modular fashion. We demonstrate with two structural dynamics benchmark systems that this method based on assembly accuracy allows for a computationally efficient selection of eigenmodes that 1) guarantees satisfaction of the assembly accuracy requirements and 2) results in most cases in reduced-order models of significantly lower order with respect to the industrial standard approach in which component eigenmodes are selected using a frequency criterion

Redesign of rice cooker component by using an integrated boothroyd dewhurst DFA and axiomatic design

In the early process for product design, the methodology of Design for Assembly (DFA) and it guidelines are very useful to engineers. Design for Assembly is a set of guidelines developed to ensure that a product is designed so that it can be easily and efficiently manufactured and assembled with a minimum of effort, time and cost. Axiomatic Design, AD is an engineering design theory that provides a framework to decision-making in the designing process. It will consider the customer needs which very important in the product market today. The main objective of the project is to improve the assembly effectiveness by using integration of Boothroyd Dewhurst DFA method and Axiomatic Design techniques. Currently, rice cooker consists of 37 components, where several components are difficult to assemble. So, this project provides the framework to redesign the current product in order to reduce the difficulty of assembly. The stage of project is starting by gathering all information of the product and also determines the customer needs for the current product. After that, the current product is redesign based on the analysis of DFA and Axiomatic Design which is aimed to increase the design efficiency, reduce total assembly time and cost of the product. The result of this project shows the design efficiency is increased from 22.0 % to 33.0 %. From the case studies result, this evaluation system is able to improve the design in term of design efficiency, product time and cost

High‐Throughput Miniaturized Screening of Nanoparticle Formation via Inkjet Printing

This is the peer reviewed version of the following article:Ioanna D. Styliari, et al, ‘High‐Throughput Miniaturized Screening of Nanoparticle Formation via Inkjet Printing’, Macromolecular Materials and Engineering, (2018), which has been published in final form at https://doi.org/10.1002/mame.201800146. Under embargo until 27 May 2019. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.The self‐assembly of specific polymers into well‐defined nanoparticles (NPs) is of great interest to the pharmaceutical industry as the resultant materials can act as drug delivery vehicles. In this work, a high‐throughput method to screen the ability of polymers to self‐assemble into NPs using a picoliter inkjet printer is presented. By dispensing polymer solutions in dimethyl sulfoxide (DMSO) from the printer into the wells of a 96‐well plate, containing water as an antisolvent, 50 suspensions are screened for nanoparticle formation rapidly using only nanoliters to microliters. A variety of polymer classes are used and in situ characterization of the submicroliter nanosuspensions shows that the particle size distributions match those of nanoparticles made from bulk suspensions. Dispensing organic polymer solutions into well plates via the printer is thus shown to be a reproducible and fast method for screening nanoparticle formation which uses two to three orders of magnitude less material than conventional techniques. Finally, a pilot study for a high‐throughput pipeline of nanoparticle production, physical property characterization, and cytocompatibility demonstrates the feasibility of the printing approach for screening of nanodrug delivery formulations. Nanoparticles are produced in the well plates, characterized for size and evaluated for effects on metabolic activity of lung cancer cells.Peer reviewe

Active Learning Strategies for Teaching Lean Thinking

Active learning is a method of designing instruction so that classroom students are actively involved in learning concepts and content. Instead of casting students into the role of passive listener, active learning techniques strive to engage learners in reading, writing, discussing and doing things to connect the learners to the material. The Lean Aerospace Initiative sponsored the development of a foundational LAI Lean Academy® course about lean concepts. The class is targeted for an audience with little or no experience in lean concepts and it was designed with a learner-centered focus using active learning techniques. Several strategies used successfully in this class will be described in this paper, specifically: plant tours, the supply chain puzzle, mechanical assembly for lean engineering and interviews/out briefs. Results from student feedback indicate that class participants enjoy the active learning segments of the class much better than modules that are mostly lecture-based

Active Learning Strategies for Teaching Lean Thinking

Active learning is a method of designing instruction so that classroom students are actively involved in learning concepts and content. Instead of casting students into the role of passive listener, active learning techniques strive to engage learners in reading, writing, discussing and doing things to connect the learners to the material. The Lean Aerospace Initiative sponsored the development of a foundational LAI Lean Academy® course about lean concepts. The class is targeted for an audience with little or no experience in lean concepts and it was designed with a learner-centered focus using active learning techniques. Several strategies used successfully in this class will be described in this paper, specifically: plant tours, the supply chain puzzle, mechanical assembly for lean engineering and interviews/out briefs. Results from student feedback indicate that class participants enjoy the active learning segments of the class much better than modules that are mostly lecture-based