scale design
Recently Published Documents


TOTAL DOCUMENTS

344
(FIVE YEARS 115)

H-INDEX

27
(FIVE YEARS 6)

2021 ◽  
Vol 3 (2) ◽  
pp. 205-221
Author(s):  
Rahman Tafahomi ◽  
◽  
Reihaneh Nadi ◽  

The purpose of this study is to gain an understanding of how the architecture students deploy a range of graphical features to visualize SWOT, standing for Strengths, Weaknesses, Opportunities, and Threats. Architectural design studios provide students with a range of analytical techniques, and SWOT analysis is considered to be useful and effective, particularly at urban-scale design projects. However, it is a text-based framework and needs to be converted to thematic analysis maps across architecture and design fields. The main issue is that the determining factors affecting the way in which students choose graphical features to map the outputs of SWOT analysis is unclear at architectural design studios. The research employed qualitative methods, specifically observation, focus group, and graphical analysis, to examine SWOT maps produced by the architecture students. The findings demonstrated that the selection of graphical features in the process of producing SWOT analysis maps are dependent on scale of study (macro, meso, and micro), as well as location, spatial connection, and size of elements derived from SWOT matrix. For instance, lines and planes were most frequent features at macro level while the variety of symbols remarkably increased at micro level. In conclusion, the students personalized the process of mapping, meaning that they applied point, line, plane (shape), color, texture, and typography in several different ways. Therefore, SWOT analysis not only help architecture students to better understand the problems of their design projects, organize and consolidate information, and visualize opportunities and constraints, but could lead to the representation of realistic solutions in an innovative way.


2021 ◽  
Vol 9 (4) ◽  
pp. 713
Author(s):  
Ahmad Said

Penelitian ini bertujuan untuk menguji secara empirik ada atau tidaknya pengaruh deindividuasi dan kontrol diri terhadap perilaku perundungan di media sosial instagram. Penelitian ini menggunakan pendekatan kuantitatif. Subjek penelitian ini adalah remaja sebanyak 86 orang. Teknik sampel yang digunakan adalah purposive sampling, dengan karakteristik responden berusia 13-18 tahun, memiliki kecendrungan perilaku perundungan di media sosial, memiliki akun di media sosial instagram dan aktif menggunakan media sosial instagram. Alat ukur dalam penelitian ini menggunakan skala perundungan di media sosial, skala deindividuasi dan skala kontrol diri. Skala tersebut disusun dengan skala model likert. Teknik analisa data menggunakan uji regresi berganda. Hasil dari penelitian ini menunjukan bahwa terdapat pengaruh deindividuasi dan kontrol diri terhadap perilaku perundungan di media sosial instagram dengan nilai signifikansi p = 0.000, F hitung 11.519 > F tabel = 3.110 dan nilai R2 = 0.217. Pada deindividuasi terhadap perundungan di media sosial terdapat pengaruh dengan nilai koefisien beta (β) = 0.461, nilai t hitung = 4.743 > t tabel = 1.989 dan nilai p = 0.000. Pada kontrol diri terhadap perundungan di media sosial tidak terdapat pengaruh dengan nilai koefisien beta (β) = 0.052, nilai t hitung= 0.534 < t tabel = 1.989 dan nilai p = 0.595. This research is aimed to examined empirically the presence or absence of deindividuation and self-control on job insecurity in instagram. This research used quantitative approach. The subject of this research was teenagers, with a total of 86 people. The sample technique used was purposive sampling, with the characteristics of respondents aged 13-18 years, tend to cyberbulling, have an account on social media Instagram and actively use social media Instagram. The measurement instruments used in this research were cyberbullying scale, deindividuation scale, and self-control scale. The scale was arranged with likert scale design. The technique of data analysis used was multiple regression test. The result of this research showed that the existence of regression of of deindividuation and self-control on job insecurity in instagram with p significance value = 0.000, F count 11.519 > F table = 3.110 and R2 value = 0.217. On deindividuation toward cyberbullying there was regression with the value of coefficient beta (β) = 0.461, t count value = 4.743 > t table = 1.989 and p value = 0.000. On readiness for change toward job insecurity there was regression with the value of coefficient beta (β) = 0.052, t count value= 0.534 < t table = 1.989 and p value = 0.595.


2021 ◽  
Author(s):  
Tae-Eun Kim ◽  
Kotaro Tsuboyama ◽  
Scott Houliston ◽  
Cydney M. Martell ◽  
Claire M. Phoumyvong ◽  
...  

Designing entirely new protein structures remains challenging because we do not fully understand the biophysical determinants of folding stability. Yet some protein folds are easier to design than others. Previous work identified the 43-residue αββ&#945 fold as especially challenging: the best designs had only a 2% success rate, compared to 39-87% success for other simple folds (1). This suggested the αββ&#945 fold would be a useful model system for gaining a deeper understanding of folding stability determinants and for testing new protein design methods. Here, we designed over ten thousand new αββ&#945 proteins and found over three thousand of them to fold into stable structures using a high-throughput protease-based assay. Nuclear magnetic resonance, hydrogen-deuterium exchange, circular dichroism, deep mutational scanning, and scrambled sequence control experiments indicated that our stable designs fold into their designed αββ&#945 structures with exceptional stability for their small size. Our large dataset enabled us to quantify the influence of universal stability determinants including nonpolar burial, helix capping, and buried unsatisfied polar atoms, as well as stability determinants unique to the αββ&#945 topology. Our work demonstrates how large-scale design and test cycles can solve challenging design problems while illuminating the biophysical determinants of folding.


2021 ◽  
Vol 11 (24) ◽  
pp. 12005
Author(s):  
Nikos Ath. Kallioras ◽  
Alexandros N. Nordas ◽  
Nikos D. Lagaros

Topology optimization problems pose substantial requirements in computing resources, which become prohibitive in cases of large-scale design domains discretized with fine finite element meshes. A Deep Learning-assisted Topology OPtimization (DLTOP) methodology was previously developed by the authors, which employs deep learning techniques to predict the optimized system configuration, thus substantially reducing the required computational effort of the optimization algorithm and overcoming potential bottlenecks. Building upon DLTOP, this study presents a novel Deep Learning-based Model Upgrading (DLMU) scheme. The scheme utilizes reduced order (surrogate) modeling techniques, which downscale complex models while preserving their original behavioral characteristics, thereby reducing the computational demand with limited impact on accuracy. The novelty of DLMU lies in the employment of deep learning for extrapolating the results of optimized reduced order models to an optimized fully refined model of the design domain, thus achieving a remarkable reduction of the computational demand in comparison with DLTOP and other existing techniques. The effectiveness, accuracy and versatility of the novel DLMU scheme are demonstrated via its application to a series of benchmark topology optimization problems from the literature.


2021 ◽  
Vol 19 (3) ◽  
pp. 124-132
Author(s):  
L. P. Roschevskaya ◽  
M. P. Roschevsky

In 2024, the Russian Academy of Sciences will celebrate its three hundredth anniversary. In this regard, there is a relevant need to comprehend the contribution of Soviet scientists to reconstruction of the country’s economy after the Great Patriotic War. In 2021, Russian University of Transport where Academician V. N. Obraztsov once worked, celebrates the 125th anniversary. The scientific conceptualisation of the ways to develop the North of the country is of great importance for the development of the transport system of Russia. Hence, those factors determine the topicality of the objective of the article to study the projects for development of transport in the European North of the USSR put forward by Academician V. N. Obraztsov in the post-war period.To attain this objective, the system-structural and historicalcomparative methods were used. For the first time the activity of V. N. Obraztsov, as of an analyst and expert in the field of development of post-war railway transport, is analysed. It is concluded that having the talent of a major leader of transport projects, Obraztsov put forward research tasks adequate to the requirements of the time for reconstruction of the country’s economy after the war. Among these tasks, he considered modernisation and development of transport. In the projects of 1945, Obraztsov laid the foundations for long-term planning of railway, road, river, and air transport in the European North of the USSR for several decades ahead. The volume of the proposed construction was enormous. Even though the planned large-scale design of the transport infrastructure was not entirely feasible for implementation in a short time due to limited forces and resources of the country, it catches imagination with farreaching prospects for development of the European North and the Arctic. Academician Obraztsov’s programs for development of the north, being of great scientific value, are especially relevant in 21st century.


2021 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Emmanouil Manoutsoglou ◽  
Nikolaos Papageorgiou ◽  
Emilios Georgiou

The aim of this work is to highlight the contribution of geological maps and mapping to industrial scale design. To achieve this goal, the site selection of a new quarry area is used as an example. For the development of a new quarry, the materials to be mined must meet specific requirements, mainly acceptable quality, adequate reserves, environmental restrictions, and economic viability. Geological maps of various scales were used in all stages of this research project. Initially, geological surveillance maps (1:50,000), which formed the basis for the sampling, were used. Finally, this research project was completed with the detailed mapping of two candidate areas for the development of the new quarry.


2021 ◽  
Vol 3 (12) ◽  
Author(s):  
Maximilian Lehr ◽  
Martin Miltner ◽  
Anton Friedl

AbstractWood extractives usually do not exceed five percent of dry wood mass but can be a serious issue for pulping as well as for the pulp itself. They cause contamination and damages to process equipment and negatively influence pulp quality. This paper addresses not only the extractives-related problems but also different solutions for these issues. It is an extensive review of different technologies for removing wood extractives, starting with methods prior to pulping. Several wood yard operations like debarking, knot separation, and wood seasoning are known to significantly decreasing the amount of wood extractives. Biological treatment has also been proven as a feasible method for reducing the extractives content before pulping, but quite hard to handle. During pulping, the extractives reduction efficiency depends on the pulping method. Mechanical pulping removes the accessory compounds of wood just slightly, but chemical pulping, on the other hand, removes them to a large extent. Organosolv pulping even allows almost complete removal of wood extractives. The residual extractives content can be significantly reduced by pulp bleaching. Nevertheless, different extraction-based methods have been developed for removing wood extractives before pulping or bleaching. They range from organic-solvent-based extractions to novel processes like supercritical fluid extractions, ionic liquids extractions, microwave technology, and ultrasonic-assisted extraction. Although these methods deliver promising results and allow utilization of wood extractives in most cases, they suffer from many drawbacks towards an economically viable industrial-scale design, concluding that further research has to be done on these topics. Graphical abstract


2021 ◽  
Author(s):  
◽  
Vincent Maxwell

<p>The recently exhausted Three Kings Quarry in central Auckland suburbia is currently being prepared for housing development. As a suburb within New Zealand’s fastest growing city, housing pressure and intensification policies mean that higher density design will be a key focus of remediation. Medium Density Design is a relatively young model of higher density housing in New Zealand and has developed a strong negative stigma, engendered by the abundance of unresponsive medium density developments which struggle, both physically and visually, to connect with Auckland’s low density suburban culture. Plans to only partially fill the site have been met with opposition by the community as the quarry landscape is seen as an obstacle for connection within the suburb and unfit for human inhabitation. Because of these negative feelings towards both the quarry and medium density design, locals are anxious any development within the quarry will follow a similar Medium Density housing model that turns its back on its context and community while failing to connect to the Three Kings context.  This research argues that by designing with the slope and existing condition of the quarry, medium density design can produce a scheme that meets the desires of the community and builds a unique and relevant identity for Three Kings. This thesis proposes this can be achieved by acknowledging the significance of the industrial landscape and designing with landform features and environmental systems; through community focussed medium density design; and by taking advantage of opportunities of mass housing design on the slope. These issues are tackled on the urban scale through design of a master plan, as well as cluster and dwelling scale design proposals.</p>


Sign in / Sign up

Export Citation Format

Share Document