Results 131 to 140 of about 462,502 (313)

Biophysical processes of morphogenesis in lizard lungs

Developmental Dynamics, EarlyView.
Abstract Background The lungs of squamate reptiles (lizards and snakes) are highly diverse, exhibiting single chambers, multiple chambers, transitional forms with two to three chambers, along with a suite of other anatomical features, including finger‐like epithelial projections into the body cavity known as diverticulae.
Kaleb Hill, Aaron H. Griffing, Michael A. Palmer, Bezia Lemma, Aria S. Lupo, Tony Gamble, Natalia A. Shylo, Andrej Košmrlj, Paul A. Trainor, Celeste M. Nelson   +9 more
wiley   +1 more source

CIAO! Online Escape Room: Assessment of Basic Mathematical Skills for Incoming Engineering Students

Journal of Educational, Cultural and Psychological Studies
STEM education requires a solid foundation in mathematics, which is often lacking in incoming students. To address these gaps, Politecnico di Torino developed CIAO!/OAIC!
Maria Giulia Ballatore, Anita Tabacco
doaj   +1 more source

Developing a macroecology for human‐altered ecosystems

Ecography, EarlyView.
Although anthropogenically‐induced ecological disruptions are fundamentally important in defining ecosystem properties, they are largely overlooked by macroecological theory. Anthropogenic disruptions and their effects are generally not comparable to one another, nor to disturbances that are part of natural disturbance regimes.
Erica A. Newman, Mark Q. Wilber, Alexandre Génin, Oriana E. Chafe, Henry F. Houskeeper, Steven Lee, Eric L. Berlow, John Harte   +7 more
wiley   +1 more source

Design of HAWT Rotor for Non‐Uniform Inflow Conditions: A Theoretical and Experimental Approach for Shear Flow

Energy Science &Engineering, EarlyView.
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak, Piotr Strzelczyk, Taeseong Kim   +2 more
wiley   +1 more source

The Impact of Resource Endowment and Digital Transformation on the Efficiency of Energy Transition

Energy Science &Engineering, EarlyView.
Resource endowment has a significant positive direct effect and a stronger spatial spillover effect on ETE, while digital transformation can improve local efficiency but has some negative spillover effects on neighboring regions. ABSTRACT In contemporary society, improving energy transition efficiency (ETE) has become a necessary measure to ensure the ...
Junding Yang, Yanfeng Guan, Rong Wang, Tong Zhao, Guilan Huang, Ming Ding   +5 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou, Junkai Ren, Zhiwen Zeng, Junhao Xiao, Xinglong Zhang, Xian Guo, Zongtan Zhou, Huimin Lu   +7 more
wiley   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source