Results 81 to 90 of about 1,136,392 (299)

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

Estimating Uncertainty Online Against an Adversary

, 2017
Assessing uncertainty is an important step towards ensuring the safety and reliability of machine learning systems. Existing uncertainty estimation techniques may fail when their modeling assumptions are not met, e.g.
Ermon, Stefano, Kuleshov, Volodymyr
core   +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

An Effective and Practical Probabilistic Simplified Neutrosophic Approach for Accurate and Reliable Innovative Design Evaluation for Digital Media Arts [PDF]

Neutrosophic Sets and Systems
The evaluation and classification of digital artworks remain a challenging task due to the inherent uncertainty, subjectivity, and imprecision in artistic design.
Yang Zhang, Yuzhuo Zhang
doaj   +1 more source

Enhance the Uncertainty Modeling Ability of Fuzzy Grey Cognitive Maps by General Grey Number

IEEE Access, 2020
In real-life systems, people cannot get precise data. The data are represented in the forms of interval or multiple intervals in many cases. Most intelligent algorithms are designed for precise data in algorithm research.
Jun Chen, Xudong Gao, Jia Rong
doaj   +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

Implementing Loss Distribution Approach for Operational Risk

, 2009
To quantify the operational risk capital charge under the current regulatory framework for banking supervision, referred to as Basel II, many banks adopt the Loss Distribution Approach.
Artzner, Aue, Basel Committee on Banking Supervision, Bedard, Berger, Böcker, Böcker, Böcker, Böcker, Bühlmann, Bühlmann, Chavez-Demoulin, Chernobai, Chernobai, Cont, Cruz, Dalla Valle, Degen, Efron, Embrechts, Embrechts, Embrechts, Embrechts, Embrechts, Ergashev, Frachot, Gerhold, Giacometti, Gilks, Gustafsson, Hess, Joe, Johnson, King, Klugman, Lambrigger, Lehmann, Lindskog, Luo, Luo, Marshall, McNeil, Mignola, Mignola, Nelson, Nešlehová, Panjer, Peters, Peters, Peters, Peters, Powojowski, Press, Robert, Sandström, Schaller, Shevchenko, Shevchenko, Shevchenko, Sundt, Wüthrich   +60 more
core   +2 more sources

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

Modeling Uncertainty for Gaussian Splatting

IEEE Transactions on Neural Networks and Learning Systems
We present Stochastic Gaussian Splatting (SGS): the first framework for uncertainty estimation using Gaussian Splatting (GS). GS recently advanced the novel-view synthesis field by achieving impressive reconstruction quality at a fraction of the computational cost of Neural Radiance Fields (NeRF).
Aira Luca Savant, Valsesia Diego, Magli Enrico   +2 more
openaire   +4 more sources