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2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunanda Sharma ◽  
Vera Meyer

Abstract Background Biological pigmentation is one of the most intriguing traits of many fungi. It holds significance to scientists, as a sign of biochemical metabolism and organism-environment interaction, and to artists, as the source of natural colors that capture the beauty of the microbial world. Furthermore, the functional roles and aesthetic appeal of biological pigmentation may be a path to inspiring human empathy for microorganisms, which is key to understanding and preserving microbial biodiversity. A project focused on cross-species empathy was initiated and conducted as part of an artist-in-residence program in 2021. The aim of this residency is to bridge the current divide between science and art through interdisciplinary practice focused on fungi. Results The residency resulted in multiple products that are designed for artistic and scientific audiences with the central theme of biological pigmentation in fungi and other microorganisms. The first product is a video artwork that focuses on Aspergillus niger as a model organism that produces melanin pigment in a biosynthetic process similar to that of humans. The growth and morphology of this commonplace organism are displayed through video, photo, animation, and time-lapse footage, inviting the viewer to examine the likenesses and overlaps between humans and fungi. The second product is The Living Color Database, an online compendium of biological colors for scientists, artists, and designers. It links organisms across the tree of life, focusing on fungi, bacteria, and archaea, and the colors they express through biological pigmentation. Each pigment is represented in terms of its chemistry, its related biosynthesis, and its color expressions according to different indices: HEX, RGB, and Pantone. It is available at color.bio. Conclusions As fungal biotechnology continues to mature into new application areas, it is as important as ever that there is human empathy for these organisms to promote the preservation and appreciation of fungal biodiversity. The products presented here provide paths for artists, scientists, and designers to understand microorganisms through the lens of color, promoting interspecies empathy through research, teaching, and practice.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nina M. Griffiths ◽  
Karine Devilliers ◽  
Pierre Laroche ◽  
Anne Van der Meeren

Buildings ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 20
Author(s):  
Buddhini Ginigaddara ◽  
Srinath Perera ◽  
Yingbin Feng ◽  
Payam Rahnamayiezekavat

Offsite construction (OSC) delivers multiple products that vary in design and building complexity. Considering the growing prevalence of OSC, a systematic categorization of OSC types can offer operational and macroeconomic benefits to the construction industry. The purpose of this study is to develop an OSC typology through a systematic process, as existing studies do not present a rigorously evaluated typology that suits the modern OSC context. The research addresses the following research question: what are the distinct characteristics of unique OSC types that have emerged through the adoption of Industry 4.0-based technological advancements? Due to the rapid advancement of production and construction technologies, the existing OSC classifications are becoming outdated. As such, a detailed review of OSC technologies was conducted which enabled the identification of OSC categories: components, panels, pods, modules, complete buildings, and flat-pack (foldable structure). A series of case studies was then reviewed to explore and analyze the relevance of these OSC types in practice. It was then subjected to a Delphi-based multi-level expert forum to develop a modern and future-proof OSC typology. The rigorous process validated, defined, and delineated the boundaries between the OSC types. The research confirmed that OSC types can be broadly categorized as volumetric (pods, modules, complete buildings) and non-volumetric (components, panels, foldable structure). The results indicated that OSC skills vary with the complexity of OSC types, and that lightweight steel and timber are the most common materials.


2021 ◽  
Vol 26 (11) ◽  
pp. 248-254
Author(s):  
Robyn Lowe

Owners often reach for over-the-counter supplements for the management of canine osteoarthritis, believing them to be natural, side effect-free options. Some may ask for your opinion as a veterinary professional, whereas others will come to you already using certain products. It is imperative to be aware of the evidence for the relevant products and to encourage the use of good quality products as the first option. The aim should be to help prevent owners of arthritic dogs wasting their money buying multiple products with little or no evidence to back up their use, to be wary of bold unsubstantiated claims for improvements or health benefits, and to ensure that supplements are not used as a sole intervention for the management of arthritic pain, as they are unlikely to have the evidence base to support this claim.


Author(s):  
Luis A. San-José ◽  
Manuel González-De-la-Rosa ◽  
Joaquín Sicilia ◽  
Jaime Febles-Acosta

AbstractA model for inventory systems with multiple products is studied. Demands of items are time-dependent and follow power patterns. Shortages are allowed and fully backlogged. For this inventory system, our findings provide the efficient inventory policy that helps decision-makers to obtain the initial inventory levels and the reorder points that maximize the profit per unit time. Moreover, when it is assumed that the warehouse used for the storage of products has a limited capacity, the optimal inventory policy is also developed. The model presented here extends some inventory systems studied by other authors. Numerical examples are introduced to illustrate the applicability of the theoretical results presented.


Author(s):  
Qi Feng ◽  
Chengzhang Li ◽  
Mengshi Lu ◽  
J. George Shanthikumar

2021 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Hongmin Li

Customers make purchase decisions based on the attributes of the products offered and their prices. While the customer selects only one unit of a product in some settings, she purchases multiple products and even possibly multiple units of each product in other settings. Although several studies in the literature have addressed the former case, little attention has been paid to the latter case, this paper’s subject. In this paper, the authors consider the customer's problem and show that the set of products she purchases is one of the ordered sets based on the product attribute and prices. This paper shows that the firm's optimal pricing problem can be solved efficiently based on another ordering among the products.


2021 ◽  
pp. 85-102
Author(s):  
Steven T. Buccola ◽  
Grete S. Stokstad
Keyword(s):  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jinzen Ikebe ◽  
Munenori Suzuki ◽  
Aya Komori ◽  
Kaito Kobayashi ◽  
Tomoshi Kameda

AbstractEnzymes with low regioselectivity of substrate reaction sites may produce multiple products from a single substrate. When a target product is produced industrially using these enzymes, the production of non-target products (byproducts) causes adverse effects such as increased processing costs for purification and the amount of raw material. Thus it is required the development of modified enzymes to reduce the amount of byproducts’ production. In this paper, we report a method called mutation site prediction for enhancing the regioselectivity of substrate reaction sites (MSPER). MSPER takes conformational data for docking poses of an enzyme and a substrate as input and automatically generates a ranked list of mutation sites to destabilize docking poses for byproducts while maintaining those for target products in silico. We applied MSPER to the enzyme cytochrome P450 CYP102A1 (BM3) and the two substrates to enhance the regioselectivity for four target products with different reaction sites. The 13 of the total 14 top-ranked mutation sites predicted by MSPER for the four target products succeeded in selectively enhancing the regioselectivity up to 6.4-fold. The results indicate that MSPER can distinguish differences of substrate structures and the reaction sites, and can accurately predict mutation sites to enhance regioselectivity without selection by directed evolution screening.


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