Results 41 to 50 of about 33,189 (133)
Emerging applications of large language models in ecology and conservation science
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
ABSTRACT Acute lymphoblastic leukaemia (ALL) in older adults represents a growing clinical challenge, driven by an ageing population, adverse disease biology, and reduced tolerance to intensive chemotherapy. Although pediatric‐inspired regimens have improved outcomes in younger adults with Philadelphia chromosome (Ph)‐negative ALL, survival in older ...
Antonella Bruzzese +12 more
wiley +1 more source
A conceptual framework for interactive virtual storytelling [PDF]
This paper presents a framework of an interactive storytelling system. It can integrate five components: management centre, evaluation centre, intelligent virtual agent, intelligent virtual environment, and users, making possible interactive solutions ...
Qin, Sheng-feng, Wright, David, Yu, Hui
core
Logic-Based Specification Languages for Intelligent Software Agents
The research field of Agent-Oriented Software Engineering (AOSE) aims to find abstractions, languages, methodologies and toolkits for modeling, verifying, validating and prototyping complex applications conceptualized as Multiagent Systems (MASs). A very
Martelli, Maurizio +2 more
core +2 more sources
Understanding and addressing resistance to IMiDs immunomodulatory compounds in multiple myeloma
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
Multi-level agent-based modeling - A literature survey
During last decade, multi-level agent-based modeling has received significant and dramatically increasing interest. In this article we present a comprehensive and structured review of literature on the subject.
Morvan, Gildas
core
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Embryonal Paratesticular Rhabdomyosarcoma Masquerading as an Inguinal Hernia: A Case Report
ABSTRACT Embryonal paratesticular rhabdomyosarcoma can mimic benign inguinoscrotal conditions such as inguinal hernia. In children with persistent, painless scrotal masses, early cross‐sectional imaging and prompt radical inguinal orchiectomy with histopathological confirmation are essential.
Somaya Al Kiswani +7 more
wiley +1 more source
Detecting Possible Manipulators in Elections [PDF]
Manipulation is a problem of fundamental importance in the context of voting in which the voters exercise their votes strategically instead of voting honestly to prevent selection of an alternative that is less preferred.
Dey, Palash +2 more
core

