Results 121 to 130 of about 24,503,001 (297)

Characterization of the key membrane protein cytochrome Cyc2 from Ghiorsea bivora

FEBS Open Bio, EarlyView.
This study reports the first detailed biochemical analysis of Cyc2TAG1_1, a cytochrome protein involved in microbial iron oxidation. We produced and purified this enzyme in E. coli, then measured its iron‐oxidizing efficiency, and characterized its electrical and structural properties.
Josiane Azizi, Alain Dolla, Frauke Baymann, Celine Rommevaux, Latifa Elantak, Helene Gaussier, Matthieu Nouailler   +6 more
wiley   +1 more source

The concept of degrees of uncertainty in Keynes, Shackle and Davidson [PDF]

The aim of the paper is to discuss and define a concept of Keynesian uncertainty capable of both to comprehend the concept of probable knowledge and admit the existence of degrees of uncertainty.
Marco Crocco
core  

Uncertainty analysis of loss of coolant flow accident in lead–bismuth reactor using subchannel code

He jishu
BackgroundSubchannel codes constitute an important computational tool in the field of reactor thermo-hydraulics. Uncertainty analysis methods can be used to effectively identify and quantify the uncertainties of code input parameters and model ...
WANG Kai, YANG Junkang, ZHAO Pengcheng
doaj   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

Algorithm Analysis and Optimization of a Digital Image Correlation Method Using a Non-Probability Interval Multidimensional Parallelepiped Model

Sensors
Digital image correlation (DIC), a widely used non-contact measurement technique, often requires empirical tuning of several algorithmic parameters to strike a balance between computational accuracy and efficiency.
Xuedong Zhu, Jianhua Liu, Xiaohui Ao, Huanxiong Xia, Sihan Huang, Lijian Zhu, Xiaoqiang Li, Changlin Du   +7 more
doaj   +1 more source

Design and evaluation of FEBS Education and Training Academy module – Integrating generative artificial intelligence into life‐science education

FEBS Open Bio, EarlyView.
Life‐science educators from 14 countries redesigned their own course materials with generative AI in a three‐session, pedagogy‐first FEBS Education and Training Academy workshop built on PICRAT. Among 12 matched respondents, four more reported high confidence in each of five practical domains, and 10 of 13 reported implementing at least one idea ...
Zvonimir Mlinarić, Ali Burak Özkaya
wiley   +1 more source

Multi-Objective Short-Term Operation of Hydro–Wind–Photovoltaic–Thermal Hybrid System Considering Power Peak Shaving, the Economy and the Environment

Energies
In recent years, renewable, clean energy options such as hydropower, wind energy and solar energy have been attracting more and more attention as high-quality alternatives to fossil fuels, due to the depletion of fossil fuels and environmental pollution.
Yongqi Liu, Yuanyuan Li, Guibing Hou, Hui Qin   +3 more
doaj   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Spatial uncertainty analysis in coastal land use planning: a case study at Gold Coast, Australia

, 2013
Vulnerability of coastal areas to the global environmental changes and uncertainties in climate change predictions, particularly at local scales has presented a challenge to land-use planning in coastal cities.
Warnken, Jan, Mosadeghi, Razieh, Mirfenderesk, Hamid, Tomlinson, Rodger   +3 more
core   +1 more source

RNN-Based Monthly Inflow Prediction for Dez Dam in Iran Considering the Effect of Wavelet Pre-Processing and Uncertainty Analysis

Hydrology
In recent years, deep learning (DL) methods, such as recurrent neural networks (RNN). have been used for streamflow prediction. In this study, the monthly inflow into the Dez Dam reservoir from 1955 to 2018 in southwestern Iran was simulated using ...
Arash Adib, Mohammad Pourghasemzadeh, Morteza Lotfirad   +2 more
doaj   +1 more source