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design, utopia, alteration, prototyping, progetto, and alterazione

The purpose of this paper is to re-explore the relationship between utopia and architecture, trying first and foremost to challenge the way utopia has been conceived by architectural thought: i.e., as the prefiguration of a future seen as an ‘otherness’ distinct from the present, as far as the totality of its spatial, social, and political dimensions are concerned. Such vision – as we will argue – turns out to be deeply linked to a design logic of ‘projection’ and ‘prescription’; this, however, is not the only possible logic of design. Through a reflection upon some contemporary architectural practices, we will try to highlight a new horizon for design action, in which even utopia abandons its traditional ‘projective’ role and takes on a new meaning: rather than being the non-place of a possible future, utopia stands for what doesn’t have place in the present but can emerge from its alteration. Such notion of utopia as a form of ‘situated critique’, in a concrete space and time, helps to dig more deeply into the political potential of many contemporary forms of architectural and urban design.
Il proposito di questo contributo è tornare a esplorare la relazione tra utopia e architettura, cercando innanzitutto di mettere in questione il modo in cui l’utopia è stata concepita tradizionalmente nel pensiero architettonico: vale a dire, come la prefigurazione di un futuro concepito come alterità rispetto al presente, nella totalità delle sue dimensioni spaziali, sociali e politiche. Tale visione - come si cercherà di illustrare - è intimamente legata a una certa logica “proiettiva” e “prescrittiva” che, tuttavia, non è l’unica logica possibile del progetto. Attraverso una riflessione su alcuni modi del progetto di architettura contemporaneo, si cercherà infatti di mettere in evidenza una nuova logica progettuale, in cui anche l’utopia abbandona il suo carattere proiettivo tradizionale per acquisire un nuovo senso: non più il non-luogo di un futuro possibile, bensì ciò che non ha luogo nel presente e che può tuttavia emergere dalla sua alterazione. Questa nozione di utopia come “critica situata” concretamente in uno spazio e in un tempo aiuta a comprendere più in profondità il potenziale politico di molte delle forme contemporanee di progetto architettonico e urbano.

Teaching -- Usage, Teaching -- Methods, and Teaching -- Study and teaching

1. INTRODUCTION With computing devices peppering nearly every aspect of our lives, how people interact with these technologies is critically important to all computing fields. In fact, failure to properly [...]
Given the ubiquity of interfaces on computing devices, it is essential for future Information Systems (IS) professionals to understand the ramifications of good user interface (UI) design. This article provides instructions on how to efficiently and effectively teach IS students about 'fit,' a Human-Computer Interaction (HCI) concept, through a paper prototyping activity. Although easy to explain, the concept of 'fit' can be difficult to understand without repeated practice. Practically, designing 'fit' into UIs can be cost-prohibitive because working prototypes are often beyond students' technical skillset. Accordingly, based on principles of active learning, we show how to use paper prototyping to demonstrate 'fit' in a hands-on class exercise. We provide detailed stepby-step instructions to plan, setup, and present the exercise to guide students through the process of 'fit' in UI design. As a result of this activity, students are better able to employ both theoretical and practical applications of 'fit' in UI design and implementation. This exercise is applicable in any course that includes UI design, such as principles of HCI, systems analysis and design, software engineering, and project management. Keywords: Human-computer interaction (HCI), Paper prototyping, Active learning, Constructionism, Teaching tip

A major goal of PDMS microfabrication is to develop a simple and inexpensive method for rapid fabrication. Despite the recent advancements in this field, facile PDMS microfabrication on non-planar surfaces remains elusive. Here we report a facile method for rapid prototyping of PDMS microdevices via µPLAT (microscale plasma-activated templating) on non-planar surfaces through micropatterning of hydrophilic/hydrophobic interface by flexible PVC hollow-out mask. This mask can be easily prepared with flexible PVC film through a cutting crafter and applied as pattern definer during the plasma treatment for microscale hydrophilic/hydrophobic interface formation on different substrates. The whole process requires low inputs in terms of time as well as toxic chemicals. Inspired by liquid molding, we demonstrated its use for rapid prototyping of PDMS microstructures. Following the proof-of-concept study, we also demonstrated the use of the flexible hollow-out mask to facilitate cell patterning on curved substrates, which is difficult to realize with conventional methods. Collectively, our work utilizes flexible and foldable PVC film as mask materials for facile microscale hydrophilic non-planar surface modification to establish a useful tool for PDMS prototyping and cell patterning.
(© 2020 IOP Publishing Ltd.)

Introduction: Rapid prototyping is a process by which threedimensional (3D) computerized surface models are converted into physical models. In this study, a 3D heart bio model was created using the rapid prototyping method and the accuracy of this heart model was assessed by clinicians.
Methods: The two-dimensional images of normal heart from gated computed tomography scan datasets were used to create a 3D model of the heart. The slices were then processed using the software BioModroid and printed with the 3D printer. The evaluation of the model was performed by a questionnaire answered by four cardiothoracic surgeons, 12 cardiologists, five radiologists, and nine surgical registrars.
Results: Eighty-six percent of the anatomy structures showed in this model scored 100% accuracy. Structures such as circumflex branch of left coronary artery, great cardiac vein, papillary muscle, and coronary sinus were each rated 77%, 70%, 70%, and 57% accurate. Among 30 clinicians, a total of 93% rated the model accuracy as good and above; 64% of the clinicians evaluated this model as an excellent teaching tool for anatomy class. As a visual aid for surgery or interventional procedures, the model was rated excellent (40%), good (50%), average (23%), and poor (3%); 70% of the clinicians scored the model as above average for training purpose. Overall, this 3D rapid prototyping cardiac model was rated as excellent (33%), good (50%), and average (17%).
Conclusion: This 3D rapid prototyping heart model will be a valuable source of anatomical education and cardiac interventional management.

Gas fermentation by autotrophic bacteria, such as clostridia, offers a sustainable path to numerous bioproducts from a range of local, highly abundant, waste and low-cost feedstocks, such as industrial flue gases or syngas generated from biomass or municipal waste. Unfortunately, designing and engineering clostridia remains laborious and slow. The ability to prototype individual genetic part function, gene expression patterns, and biosynthetic pathway performance in vitro before implementing designs in cells could help address these bottlenecks by speeding up design. Unfortunately, a high-yielding cell-free gene expression (CFE) system from clostridia has yet to be developed. Here, we report the development and optimization of a high-yielding (236 ± 24 μg/mL) batch CFE platform from the industrially relevant anaerobe, Clostridium autoethanogenum. A key feature of the platform is that both circular and linear DNA templates can be applied directly to the CFE reaction to program protein synthesis. We demonstrate the ability to prototype gene expression, and quantitatively map aerobic cell-free metabolism in lysates from this system. We anticipate that the C. autoethanogenum CFE platform will not only expand the protein synthesis toolkit for synthetic biology, but also serve as a platform in expediting the screening and prototyping of gene regulatory elements in non-model, industrially relevant microbes.
(Copyright © 2020 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.)

Microfluidic technologies have enormous potential to offer breakthrough solutions across a wide range of applications. However, the rate of scale-up and commercialization of these technologies has lagged significantly behind promising breakthrough developments in the lab, due at least in part to the problems presented by transitioning from benchtop fabrication methods to mass-manufacturing. In this work, we develop and validate a method to create functional microfluidic prototype devices using 3D printed masters in an industrial-scale roll-to-roll continuous casting process. There were no significant difference in mixing performance between the roll-to-roll cast devices and the PDMS controls in fluidic mixing tests. Furthermore, the casting process provided information on the suitability of the prototype microfluidic patterns for scale-up. This work represents an important step in the realization of high-volume prototyping and manufacturing of microfluidic patterns for use across a broad range of applications.

Algorithm, Electric filters -- Usage, Electric filters -- Analysis, Electric filters -- Models, Algorithms -- Analysis, and Algorithms -- Models

Neural network, Electrical engineering, Neural networks -- Analysis, and Electrical engineering -- Analysis

Keywords Convolutional neural network; Hardware acceleration; Rapid system prototyping; Binarization; FPGA Abstract The huge model size and high computational complexity make emerging convolutional neural network (CNN) models unsuitable to deploy on current embedded or edge computing devices. Recently the binary neural network (BNN) is explored to help reduce network model size and avoid complex multiplication. In this paper, a binary network acceleration framework for rapid system prototyping is proposed to promote the deployment of CNNs on embedded devices. Firstly trainable scaling factors are adopted in binary network training to improve network accuracy performance. The hardware/software co-design framework supports various compact network structures such as residual block, 1 x 1 squeeze convolution layer, and depthwise separable convolution. With flexible network binarization and efficient hardware architecture optimization, the acceleration system is able to achieve over 2 TOPS throughput performance comparable to modern desktop GPU with much higher power efficiency. Author Affiliation: Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China * Corresponding author. Article History: Received 2 December 2019; Revised 19 February 2020; Accepted 8 March 2020 Byline: Zhe Xu [zhexu22-c@my.cityu.edu.hk], Ray C.C. Cheung [r.cheung@cityu.edu.hk] (*)