Results 61 to 70 of about 56,385 (212)

The impacts of biological invasions

Biological Reviews, EarlyView.
ABSTRACT The Anthropocene is characterised by a continuous human‐mediated reshuffling of the distributions of species globally. Both intentional and unintentional introductions have resulted in numerous species being translocated beyond their native ranges, often leading to their establishment and subsequent spread – a process referred to as biological
Phillip J. Haubrock, Teun Everts, Neil Angelo S. Abreo, Jamie Bojko, Victor Deklerck, James W. E. Dickey, Ana Clara S. Franco, Emili García‐Berthou, Stelios Katsanevakis, Natalia I. Kirichenko, Stefano Mammola, Martin A. Nuñez, Ben Parker, Riccardo Scalera, Ismael Soto, Diederik Strubbe, Ali Serhan Tarkan, Lorenzo Vilizzi, Tim Adriaens, Paride Balzani, Dagmara Błońska, Elizabeta Briski, Rein Brys, Amy L. Burgess, James E. Byers, Carlos Cano‐Barbacil, Giuseppe Castaldelli, Jaimie T.A. Dick, Victoria Dominguez Almela, Romina D. Dimarco, Margarita Florencio, Antonín Kouba, Melina Kourantidou, Irmak Kurtul, Irene Martín‐Forés, Olivier Morissette, Julian D. Olden, Bruno E. Soares, Jakub Truszkowski, Hugo Verreycken, Marc Kenis, Ronaldo Sousa, J. Robert Britton   +42 more
wiley   +1 more source

The influence of rivers on seabird foraging ecology

Biological Reviews, EarlyView.
ABSTRACT Rivers act as vital arteries to the world's oceans, delivering fresh water and nutrients that sustain marine ecosystems. Globally, river flow increasingly is being altered by climate change and anthropogenic pressures; yet the significance of rivers to predatory marine species, such as seabirds, and the extent to which river‐related changes ...
Julia B. Morais, Andre Chiaradia, Richard D. Reina   +2 more
wiley   +1 more source

bridgesampling: An R Package for Estimating Normalizing Constants

, 2017
Statistical procedures such as Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants (e.g., marginal likelihoods).
Gronau, Quentin F., Singmann, Henrik, Wagenmakers, Eric-Jan   +2 more
core  

Digital Technologies Disclosure and the Cost of Capital: The Mediating Role of Sustainability Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed, Awad Elsayed Awad Ibrahim, Khaldoon Albitar   +2 more
wiley   +1 more source

Company Location, Business Environment and Digital Maturity as Drivers of Environmental Innovation in Business

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business ...
Carlos de las Heras‐Rosas, Juan Herrera‐Ballesteros, Pedro Mota Veiga, Rui Silva Rodrigues   +3 more
wiley   +1 more source

Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary $\beta$-Mixing Processes

, 2009
Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned from independently and identically distributed (IID) data, and it is particularly so for margin classifiers: there have been recent contributions showing how ...
Ralaivola, Liva, Stempfel, Guillaume, Szafranski, Marie   +2 more
core   +2 more sources

Pyrrolic‐Nitrogen‐Enriched Aerogels With Magnetic Responsiveness Enable Cooperative Hydrogen‐Bond Regulation for High‐Performance Solar Interfacial Evaporation

Carbon Energy, EarlyView.
A pyrrolic‐nitrogen‐enriched ferromagnetic aerogel enables sophisticated cooperative regulation of hydrogen bonding, whereby this dual‐regulatory mechanism effectively reduces vaporization enthalpy while simultaneously enhancing molecular dynamics. The system demonstrates exceptional self‐cleaning capability and exhibits superior performance in the ...
Dongxue Wang, Rui Yan, Mengshu Xu, Chunyu Yang, Jingbo He, Shuohao Shi, Zhuoran Yang, Jian Huang, Wei Guo   +8 more
wiley   +1 more source

Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP

Canadian Journal of Statistics, EarlyView.
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang, Steven Chen, Raymond Balise, Jiming Jiang, Nagi Ayad, J. Sunil Rao   +5 more
wiley   +1 more source

An observation‐driven state‐space model for claims size modelling

Canadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn, Himchan Jeong, Mario V. Wüthrich   +2 more
wiley   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source