Results 61 to 70 of about 302 (183)

Micro‐habitat selection by boreal woodland caribou improves access to food

Wildlife Biology, EarlyView.
Bio‐logging sensors attached to radiotelemetry receivers have great potential to transform our understanding of the ecological, physiological, and energetic constraints that shape patterns of wildlife movement under field conditions. We used video camera collars to assess microhabitat selectivity by woodland caribou Rangifer tarandus in boreal forests ...
Ian D. Thompson, Philip A. Wiebe, Arthur R. Rodgers, Douglas Reid, James A. Baker, Brent R. Patterson, Eric McNeill, Romain Dejeante, John M. Fryxell   +8 more
wiley   +1 more source

Movement and Space Use Patterns of the Beale's Eyed Turtle (Sacalia bealei) Suggest Sensitivity to Environmental Changes and Poaching 比氏眼斑龟 (Sacalia bealei) 的活动与空间利用模式揭示其对环境变化及盗猎的敏感性

Wildlife Letters, EarlyView.
Using radiotelemetry, we found that the movement and home range of the endangered Sacalia bealei varied significantly across reproductive classes and seasons, with males exhibiting greater movement than females during wet and mating seasons. The species exhibits strong aquatic dependence, favoring deep pools interspaced among riffle‐pool sequences ...
Wing Sing Chan, Jonathan J. Fong, Timothy C. Bonebrake, Yik‐Hei Sung   +3 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li, Longbang Wang, Jiexing Li, Jicheng Li   +3 more
wiley   +1 more source

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source

A neutron microscope using a nested Wolter‐I condenser and a bank of diffractive–refractive achromatic objectives

Journal of Applied Crystallography, EarlyView.
A neutron microscope is presented comprising a Wolter‐I nested mirror optic as condenser and a 2D array of neutron achromats as objective.We present a nested Wolter‐I mirror design for a neutron condenser, which is based on established X‐ray telescope technology.
H. F. Poulsen, C. L. Andersen, N. Ravinet, J. Vila-Comamala, M. R. D. Veeraraj, E. B. Knudsen, P. K. Willendrup, S. Massahi, F. E. Christensen, D. D. M. Ferreira, M. Strobl, C. David, L. Theil Kuhn   +12 more
wiley   +1 more source

Output Quality, Productivity, and Demand: Evidence from the Chinese Steel Industry

The RAND Journal of Economics, EarlyView.
ABSTRACT Unobserved objective output quality complicates the analysis of firm productivity and demand because higher‐quality products entail higher costs but offer greater consumption benefits. Using a panel of firms with output quality data, we decompose quantity‐based productivity into fundamental productivity and the costs of quality, and separate ...
Jing Li, Shengyu Li, Hongsong Zhang
wiley   +1 more source

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

New convex integral inequalities involving multiple functions

Latin American Journal of Mathematics
This article explores a modern counterpart to the classical Jensen integral inequality for integrals, which provides an upper bound for convex functions evaluated at an integral. We extend this result to more general settings involving sums and products of integrals of multiple functions.
openaire   +1 more source

On Jensen's multiplicative inequality for positive convex functions of selfadjoint operators in Hilbert spaces

, 2020
Summary: We obtain some multiplicative refinements and reverses of Jensen's inequality for positive convex/concave functions of selfadjoint operators in Hilbert spaces. Natural applications for power and exponential functions are provided.
openaire   +2 more sources