Results 91 to 100 of about 25,679,411 (340)

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Modeling Portfolio Selection Under Intuitionistic Fuzzy Environments

Mathematics
Portfolio optimization is a multifaceted process aimed at achieving a balance between investors’ risk tolerance and expected returns. However, the inherent uncertainty and unpredictability of financial markets significantly hinder the attainment of this ...
Tusan Derya, Mehveş Güliz Kelce, Kumru Didem Atalay   +2 more
doaj   +1 more source

Wind Uncertainty Modeling and Robust Trajectory Planning for Autonomous Parafoils

, 2016
A key challenge facing modern airborne delivery systems, such as parafoils, is the ability to accurately and consistently deliver supplies into difficult, complex terrain.
Brandon Luders, A. Ellertson, J. How, Ian Sugel   +3 more
semanticscholar   +1 more source

Uncertainty modeling process for semantic technology

PeerJ Computer Science, 2016
The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While
Rommel N. Carvalho, Kathryn B. Laskey, P. Costa   +2 more
semanticscholar   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Uncertainty-Wise Cyber-Physical System test modeling

Journal of Software and Systems Modeling, 2019
It is important that a Cyber-Physical System (CPS) with uncertainty in its behavior caused by its unpredictable operating environment, to ensure its reliable operation.
Man Zhang, Shaukat Ali, T. Yue, Roland Norgren, Oscar Okariz   +4 more
semanticscholar   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Geotechnical uncertainty, modeling, and decision making

Soils and Foundations, 2022
K. Phoon, Z. Cao, Jian Ji, Y. Leung, S. Najjar, T. Shuku, Chong Tang, Z. Yin, Yoshida Ikumasa, J. Ching   +9 more
semanticscholar   +1 more source

The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

Journal of Advances in Modeling Earth Systems, 2019
The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems.
D. Lawrence, R. Fisher, C. Koven, K. Oleson, S. Swenson, G. Bonan, N. Collier, B. Ghimire, L. Kampenhout, D. Kennedy, E. Kluzek, P. Lawrence, Fang Li, Hongyi Li, D. Lombardozzi, W. Riley, W. Sacks, M. Shi, M. Vertenstein, W. Wieder, Chonggang Xu, A. Ali, A. Badger, G. Bisht, M. Broeke, M. Brunke, S. Burns, J. Buzan, M. Clark, A. Craig, K. Dahlin, B. Drewniak, J. Fisher, M. Flanner, A. Fox, P. Gentine, F. Hoffman, G. Keppel‐Aleks, R. Knox, Sanjiv Kumar, J. Lenaerts, L. Leung, W. Lipscomb, Yaqiong Lu, Ashutosh Pandey, J. Pelletier, J. Perket, J. Randerson, D. Ricciuto, B. Sanderson, A. Slater, Z. Subin, Jinyun Tang, R. Q. Thomas, Maria Val Martin, X. Zeng   +55 more
semanticscholar   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source