Combined influence of light and temperature on growth rates of Nannochloropsis oceanica: linking cellular responses to large-scale biomass production

2005 ◽  
Vol 17 (6) ◽  
pp. 515-525 ◽  
Author(s):  
J. M. Sandnes ◽  
T. Källqvist ◽  
D. Wenner ◽  
H R. Gislerød
Keyword(s):  
Biomass Production ◽  
Growth Rates ◽  
Large Scale ◽  
Cellular Responses ◽  
Nannochloropsis Oceanica

scholarly journals Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Deborah O. Dele-Oni ◽  
Karen E. Christianson ◽  
Shawn B. Egri ◽  
Alvaro Sebastian Vaca Jacome ◽  
Katherine C. DeRuff ◽  
...  
Keyword(s):  
Large Scale ◽  
Cell Model ◽  
Cellular Responses ◽  
Proteomic Profiling ◽  
Reduced Representation ◽  
Link Type ◽  
Original Dataset ◽  
Quality Control Metrics ◽  
Biological Insight ◽  
Chromatin Profiling

AbstractWhile gene expression profiling has traditionally been the method of choice for large-scale perturbational profiling studies, proteomics has emerged as an effective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 profiles of multiple perturbations across diverse cellular backgrounds in the reduced-representation phosphoproteome (P100) and chromatin space (Global Chromatin Profiling, GCP). Here, we expand our original dataset to include profiles from a new set of cardiotoxic compounds and from astrocytes, an additional neural cell model, totaling 5300 proteomic signatures. We describe filtering criteria and quality control metrics used to assess and validate the technical quality and reproducibility of our data. To demonstrate the power of the library, we present two case studies where data is queried using the concept of “connectivity” to obtain biological insight. All data presented in this study have been deposited to the ProteomeXchange Consortium with identifiers PXD017458 (P100) and PXD017459 (GCP) and can be queried at https://clue.io/proteomics.

scholarly journals Advantageous Description of Short Fatigue Crack Growth Rates in Austenitic Stainless Steels with Distinct Properties

Metals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 475
Author(s):  
Lukáš Trávníček ◽  
Ivo Kuběna ◽  
Veronika Mazánová ◽  
Tomáš Vojtek ◽  
Jaroslav Polák ◽  
...  
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Stainless Steels ◽  
Growth Rates ◽  
Large Scale ◽  
J Integral ◽  
Scale Yielding ◽  
Residual Fatigue ◽  
Crack Growth Rates

In this work two approaches to the description of short fatigue crack growth rate under large-scale yielding condition were comprehensively tested: (i) plastic component of the J-integral and (ii) Polák model of crack propagation. The ability to predict residual fatigue life of bodies with short initial cracks was studied for stainless steels Sanicro 25 and 304L. Despite their coarse microstructure and very different cyclic stress–strain response, the employed continuum mechanics models were found to give satisfactory results. Finite element modeling was used to determine the J-integrals and to simulate the evolution of crack front shapes, which corresponded to the real cracks observed on the fracture surfaces of the specimens. Residual fatigue lives estimated by these models were in good agreement with the number of cycles to failure of individual test specimens strained at various total strain amplitudes. Moreover, the crack growth rates of both investigated materials fell onto the same curve that was previously obtained for other steels with different properties. Such a “master curve” was achieved using the plastic part of J-integral and it has the potential of being an advantageous tool to model the fatigue crack propagation under large-scale yielding regime without a need of any additional experimental data.

scholarly journals Outdoor Large-Scale Cultivation of the Acidophilic Microalga Coccomyxa onubensis in a Vertical Close Photobioreactor for Lutein Production

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 324 ◽  
Author(s):  
Juan-Luis Fuentes ◽  
Zaida Montero ◽  
María Cuaresma ◽  
Mari-Carmen Ruiz-Domínguez ◽  
Benito Mogedas ◽  
...  
Keyword(s):  
Biomass Production ◽  
Large Scale ◽  
Culture Conditions ◽  
High Concentration ◽  
Ph Values ◽  
Lutein Content ◽  
Acidic Waters ◽  
Large Scale Cultivation ◽  
Rate Limiting ◽  
Lutein Production

The large-scale biomass production is an essential step in the biotechnological applications of microalgae. Coccomyxa onubensis is an acidophilic microalga isolated from the highly acidic waters of Río Tinto (province of Huelva, Spain) and has been shown to accumulate a high concentration of lutein (9.7 mg g−1dw), a valuable antioxidant, when grown at laboratory-scale. A productivity of 0.14 g L−1 d−1 was obtained by growing the microalga under outdoor conditions in an 800 L tubular photobioreactor. The results show a stable biomass production for at least one month and with a lutein content of 10 mg g−1dw, at pH values in the range 2.5–3.0 and temperature in the range 10–25 °C. Culture density, temperature, and CO2 availability in highly acidic medium are rate-limiting conditions for the microalgal growth. These aspects are discussed in this paper in order to improve the outdoor culture conditions for competitive applications of C. onubensis.

Large-scale patterns in forest growth rates are mainly driven by climatic variables and stand characteristics

2019 ◽  
Vol 435 ◽  
pp. 120-127 ◽  
Author(s):  
Hao Zhang ◽  
Kelin Wang ◽  
Zhaoxia Zeng ◽  
Hu Du ◽  
Zhigang Zou ◽  
...  
Keyword(s):  
Growth Rates ◽  
Large Scale ◽  
Forest Growth ◽  
Climatic Variables ◽  
Stand Characteristics

Acoustic sensing of macroalgae (kelp) for large-scale marine biomass production

2018 ◽  
Vol 143 (3) ◽  
pp. 1797-1797
Author(s):  
Erin M. Fischell ◽  
Andone C. Lavery ◽  
Amy Kukulya ◽  
Timothy K. Stanton
Keyword(s):  
Biomass Production ◽  
Large Scale ◽  
Acoustic Sensing ◽  
Marine Biomass

Seasonal and spatial patterns of growth of rainbow trout in the Colorado River in Grand Canyon, Arizona

2016 ◽  
Vol 73 (1) ◽  
pp. 125-139 ◽  
Author(s):  
Michael D. Yard ◽  
Josh Korman ◽  
Carl J. Walters ◽  
Theodore A. Kennedy
Keyword(s):  
Seasonal Variation ◽  
Rainbow Trout ◽  
Growth Rates ◽  
Large Scale ◽  
Colorado River ◽  
Grand Canyon ◽  
Foraging Efficiency ◽  
Invertebrate Drift ◽  
Regulated Rivers ◽  
Glen Canyon

Rainbow trout (Oncorhynchus mykiss) have been purposely introduced in many regulated rivers, with inadvertent consequences on native fishes. We describe how trout growth rates and condition could be influencing trout population dynamics in a 130 km section of the Colorado River below Glen Canyon Dam based on a large-scale mark–recapture program where ∼8000 rainbow trout were recaptured over a 3-year period (2012–2014). There were strong temporal and spatial variations in growth in both length and weight as predicted from von Bertalanffy and bioenergetic models, respectively. There was more evidence for seasonal variation in the growth coefficient and annual variation in the asymptotic length. Bioenergetic models showed more variability for growth in weight across seasons and years than across reaches. These patterns were consistent with strong seasonal variation in invertebrate drift and effects of turbidity on foraging efficiency. Highest growth rates and relative condition occurred in downstream reaches with lower trout densities. Results indicate that reduction in rainbow trout abundance in Glen Canyon will likely increase trout size in the tailwater fishery and may reduce downstream dispersal into Grand Canyon.

scholarly journals Factors of China’s International Competitiveness and the Sustainability of its Economy under the COVID-19 Pandemic (the Case Study for BRICS)

2021 ◽  
Vol 244 ◽  
pp. 10020
Author(s):  
Tatiana Podolskaya ◽  
Maria Singkh
Keyword(s):  
Economic Growth ◽  
Structural Analysis ◽  
Growth Rates ◽  
Large Scale ◽  
International Competitiveness ◽  
Key Factors ◽  
Brics Countries ◽  
The Face ◽  
Economic Growth Rates

The risks and large-scale losses faced by the international community during the COVID-19 pandemic led to a recession in 2020. In these circumstances, of particular interest is the experience of China, which was able to maintain positive economic growth rates, demonstrating a unique resilience to modern challenges. The main objective of the study presented here is a statistical and structural analysis of the factors that ensure China’s international competitiveness and the resilience of its economy in the face of the COVID-19 pandemic. The analysis is expected to show which key factors of China’s international competitiveness have made its economy resilient to the challenges of the COVID-19 pandemic. The authors also hope to identify which promising developments, similar to China’s, will enhance the international competitiveness of the BRICS countries.

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