Results 91 to 100 of about 68,246 (249)

Rethinking areas of endemism and barriers: perspectives for a causal historical biogeography and a critique of Schultz and Cracraft (2024)

Cladistics, EarlyView.
Abstract Historical biogeography faces a persistent conceptual and methodological dilemma concerning the nature of its central analytical units. Using the recent proposal by Schultz and Cracraft (Cladistics 40, 653) as a catalyst, this article critiques the argument that causal inference necessitates the replacement of areas of endemism with barriers ...
Augusto Ferrari
wiley   +1 more source

SEMI-MARKOV DECISION PROCESSES WITH INCOMPLETE STATE OBSERVATION : DISCOUNTED COST CRITERION

Journal of the Operations Research Society of Japan, 1982
In this paper we study the infinite planning horizon, countable state, semi·Markov decision processes (SMDP's) with the incomplete state observation under the average cost criterion. We show that this model can be trans­ formed to ordinary SMDP's, i.e., SMDP's with the complete state observation.
openaire   +2 more sources

An experimental approach to assess the combined effects of multiple stressors on a large vertebrate species

Conservation Biology, EarlyView.
Abstract The design of experiments to investigate the combined effects of multiple stressors requires exposing target organisms to multiple combinations of stressor doses. Concurrent manipulation of stressors is often infeasible with wildlife, but long‐lasting health effects allow individual health to be used as an integrator of prior stressor exposure.
Enrico Pirotta, Catriona M. Harris, Lori H. Schwacke, Len Thomas, Jason B. Allen, Aaron A. Barleycorn, Marco Casoli, Jonathan Crossman, Laura Aichinger Dias, Laura Engleby, Erin LaBrecque, Jenny A. Litz, Katherine A. McHugh, Patrick J. O. Miller, Michael J. Moore, Theoni Photopoulou, Brian M. Quigley, Cynthia R. Smith, Brandon L. Southall, Todd R. Speakman, Ryan Takeshita, Christina N. Toms, Randall S. Wells, Eric S. Zolman, Peter L. Tyack   +24 more
wiley   +1 more source

Temporal Evolution of Contaminant Mass Discharge: Effect of Source Remediation at Contaminated Sites

Groundwater Monitoring &Remediation, EarlyView.
Abstract Contaminant mass discharge (CMD) is a key metric for evaluating remediation performance at contaminated sites posing a risk to groundwater. This study assesses temporal CMD trends and associated uncertainties using a geostatistical approach at a chlorinated solvent contaminated site following source zone remediation, supported by two decades ...
Anton Bøllingtoft, Mads Troldborg, Charlotte Riis, Nina Tuxen, Poul L. Bjerg   +4 more
wiley   +1 more source

Linking eBird data with high spatiotemporal remote sensing products to estimate occupancy of bird populations across the island of Ireland

Ibis, EarlyView.
The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego, Solène Gobet, John Kennedy, Brian Burke, Andrew Lynch, Dick Coombes, Sinéad Cummins, Lesley Lewis   +7 more
wiley   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust

Information Systems Journal, EarlyView.
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Do robots boost productivity? A quantitative meta‐study

Journal of Economic Surveys, EarlyView.
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley   +1 more source