Results 21 to 30 of about 713 (106)

Emerging applications of large language models in ecology and conservation science

open access: yesConservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides   +5 more
wiley   +1 more source

Bridging Fragmentation in Digital Transformation Research: Building an Interface Between Operations Management and Information Systems

open access: yes
Journal of Operations Management, EarlyView.
Sunil Tiwari   +7 more
wiley   +1 more source

Pronounced Reductions in Plasma Citrulline Indicate Severe Intestinal Mucosal Barrier Injury During Induction Therapy for Pediatric Acute Myeloid Leukemia

open access: yesEuropean Journal of Haematology, EarlyView.
ABSTRACT Objectives Pediatric acute myeloid leukemia (AML) chemotherapy regimens are frequently burdened by fever episodes, systemic inflammation and bloodstream infections (BSI). Mucosal barrier injury may contribute to these complications, but its role in childhood AML remains uninvestigated.
Carla Warley Kjær   +8 more
wiley   +1 more source

Understanding and addressing resistance to IMiDs immunomodulatory compounds in multiple myeloma

open access: yesThe FEBS Journal, EarlyView.
IMiDs are pivotal in the treatment of multiple myeloma. Mechanisms of resistance comprise cell intrinsic and extrinsic pathways, involving tumour microenvironment, immune cell dysfunction, CRBN‐dependent and independent genetic drivers and epigenetic changes.
Maria‐Cynthia Fuentes‐Lacouture   +3 more
wiley   +1 more source

Preference‐Based Representations for Collective Agency

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir   +2 more
wiley   +1 more source

Blue‐Laser Posterior Nasal Neurolysis via Dual Layer Nerve Modulation for Chronic Rhinitis

open access: yesLaryngoscope Investigative Otolaryngology, Volume 11, Issue 4, August 2026.
Blue laser posterior nasal nerve neurolysis combined with inferior turbinate reduction provides superior symptom relief, particularly for rhinorrhea, with excellent safety and tolerability. This dual layer nerve modulation operation offers a promising minimally invasive treatment for medication‐refractory chronic allergic rhinitis.
Lok‐Yee Joyce Li   +6 more
wiley   +1 more source

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

open access: yesPediatric Blood &Cancer, Volume 73, Issue 7, July 2026.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi   +20 more
wiley   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 7, July 2026.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Exergy‐Based Simulation and Optimization of Multiagent MSW Gasification for Sustainable Energy Recovery Using Aspen Plus

open access: yesEnergy Science &Engineering, Volume 14, Issue 7, Page 3118-3131, July 2026.
ABSTRACT Thermochemical gasification is one of the most efficient methods for producing solid waste synthesis gas. Therefore, to predict and analyze the process of gasification of municipal solid waste (MSW) in a downdraft fixed‐bed gasification reactor with a thermal capacity of 2.1 kW, a comprehensive numerical modeling approach based on Gibbs free ...
Mohammad Reza Gharib   +2 more
wiley   +1 more source

Smart Charging With Hourly Pricing as Policy Intervention: Reducing Costs and Grid Congestion for Promoting Electric Vehicles in Developing Countries

open access: yesEnergy Science &Engineering, Volume 14, Issue 7, Page 3472-3486, July 2026.
Smart charging with hourly pricing optimizes electric vehicle (EV) charging in developing countries, reducing EV owner costs by 30% and easing grid congestion. Using an agent‐based energy management system, the study shows dynamic pricing effectively shifts charging to off‐peak hours, enhancing grid stability and supporting sustainable EV adoption in ...
Maha Iftikhar   +8 more
wiley   +1 more source

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