From Dynamic Visualization to Designing Sustainable Architecture

Abstract Background With advancements in omics technologies, the range of biological processes where long non-coding RNAs (lncRNAs) are involved, is expanding extensively, thereby generating the need to develop lncRNA annotation resources. Although, there are a plethora of resources for annotating genes, despite the extensive corpus of lncRNA literature, the available resources with lncRNA ontology annotations are rare. Results We present a lncRNA annotation extractor and repository (Lantern), developed using PubMed’s abstract retrieval engine and NCBO’s recommender annotation system. Lantern’s annotations were benchmarked against lncRNAdb’s manually curated free text. Benchmarking analysis suggested that Lantern has a recall of 0.62 against lncRNAdb for 182 lncRNAs and precision of 0.8. Additionally, we also annotated lncRNAs with multiple omics annotations, including predicted cis-regulatory TFs, interactions with RBPs, tissue-specific expression profiles, protein co-expression networks, coding potential, sub-cellular localization, and SNPs for ~ 11,000 lncRNAs in the human genome, providing a one-stop dynamic visualization platform. Conclusions Lantern integrates a novel, accurate semi-automatic ontology annotation engine derived annotations combined with a variety of multi-omics annotations for lncRNAs, to provide a central web resource for dissecting the functional dynamics of long non-coding RNAs and to facilitate future hypothesis-driven experiments. The annotation pipeline and a web resource with current annotations for human lncRNAs are freely available on sysbio.lab.iupui.edu/lantern.

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Three Types of Architectural Educational Strategies (AES) in Sustainable Buildings for Learning Environments in Canada

Sustainability ◽

10.3390/su13158166 ◽

2021 ◽

Vol 13 (15) ◽

pp. 8166

Author(s):

Jean-Pierre Chupin ◽

Morteza Hazbei ◽

Karl-Antoine Pelchat

Keyword(s):

Learning Environments ◽

Formal Language ◽

Quantitative Approach ◽

Practical Approach ◽

Future Research ◽

Educational Strategies ◽

Sustainable Buildings ◽

Sustainable Architecture ◽

Distinctive Features ◽

Advanced Knowledge

This article explores a trend provisionally called “eco-didacticism” observable for nearly 15 years in art, design and architecture. The corpus concentrates on learning centres as buildings meant to diffuse advanced knowledge in the field of sustainable architecture. We found evidence of additional educational intentions to the pedagogical or scientific programs that these buildings have already been mandated to host and support. A variety of practices or devices have sometimes been added to the architecture, sometimes integrated, while others determine the overall structuring of these educational buildings. Seven cases of “learning centres” built in Canada between 2004 and 2018 have been screened through three epistemological filters distinguishing forms of “architectural didactics”: 1—a labeling often quantitative approach, 2—an experiential or practical approach, 3—a visually narrative or iconic approach. While outlining definitions of these Architectural Educational Strategies (AES), we offer initial explanations for their distinctive features. It appears that architects, designers and critics altogether operate on the belief that forms of architectural communication can operate as elements of a language that would be accessible to non-experts. Our conclusion indicates how future research could question the very possibility of giving lessons through formal language and aesthetic features.

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ExpanDrogram: Dynamic Visualization of Big Data Segmentation over Time

Journal of Data and Information Quality ◽

10.1145/3434778 ◽

2021 ◽

Vol 13 (2) ◽

pp. 1-27

Author(s):

A. Khalemsky ◽

R. Gelbard

Keyword(s):

Big Data ◽

Visual Presentation ◽

Trend Detection ◽

Dynamic Visualization ◽

Segmentation Process ◽

Key Points ◽

Wide Range ◽

History Of ◽

The Individual ◽

Over Time

In dynamic and big data environments the visualization of a segmentation process over time often does not enable the user to simultaneously track entire pieces. The key points are sometimes incomparable, and the user is limited to a static visual presentation of a certain point. The proposed visualization concept, called ExpanDrogram, is designed to support dynamic classifiers that run in a big data environment subject to changes in data characteristics. It offers a wide range of features that seek to maximize the customization of a segmentation problem. The main goal of the ExpanDrogram visualization is to improve comprehensiveness by combining both the individual and segment levels, illustrating the dynamics of the segmentation process over time, providing “version control” that enables the user to observe the history of changes, and more. The method is illustrated using different datasets, with which we demonstrate multiple segmentation parameters, as well as multiple display layers, to highlight points such as new trend detection, outlier detection, tracking changes in original segments, and zoom in/out for more/less detail. The datasets vary in size from a small one to one of more than 12 million records.

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Explaining Sustainable Architecture

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/588/3/032086 ◽

2020 ◽

Vol 588 ◽

pp. 032086

Author(s):

E Donovan

Keyword(s):

Sustainable Architecture

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Sheep Wool for Sustainable Architecture

Energy Procedia ◽

10.1016/j.egypro.2015.11.650 ◽

2015 ◽

Vol 78 ◽

pp. 315-320 ◽

Cited By ~ 17

Author(s):

Daniela Bosia ◽

Lorenzo Savio ◽

Francesca Thiebat ◽

Alessia Patrucco ◽

Stefano Fantucci ◽

...

Keyword(s):

Sustainable Architecture ◽

Sheep Wool

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Developing Sustainable Architecture Education Approaches in Malaysia: A Case Study of Critiques Session in 2nd Year Design Studio of Architecture Department, National University of Malaysia (UKM)

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.5003 ◽

2011 ◽

Vol 71-78 ◽

pp. 5003-5006

Author(s):

N. Utaberta ◽

B. Hassanpour ◽

Nag Abdullah ◽

M. Tahir ◽

Ai. Che Ani

Keyword(s):

Positive Impact ◽

Architectural Education ◽

Design Studio ◽

Architecture Education ◽

Sustainable Architecture ◽

Natural Sources ◽

National University ◽

Definition Of ◽

Art And Architecture

Education is completely linked by spiritual and mental aspects and has direct effect on thoughts and ideas; even it can make a pattern and line behavior for humans’ life. Indeed if educating system be able to has a positive impact on its’ inputs, then it can import its influence to the whole society by its outputs which their number is not less. Especially in art and architecture this influence would be multiple and multilateral, because students are the future designers and peoples’ life will be influenced by them. So we ought to pay more attention to education phenomenon. Limited natural sources and the destructive effects on next generations’ portion attracted the attention of all sciences and different professional majors to find how to generate new sources of energy that they called Sustainable. Architecture as a linked field to other knowledge and sciences was not excepted and like past periods of history, tried to find best solutions and appropriate responses. Today, the definition of sustainable and the domain of it have developed and it is known in vast meanings and categories. Education is one of these categories that it has to be containing the word, sustainable. Sustainable education as a first stage of attitude and effect on future can play an important role. Sustainable Architectural Education and try to trace methods of sustainable architectural education is the target of this paper.

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