Results 11 to 20 of about 179,881 (297)
The Oncologist, EarlyView., 2021 Abstract Background LIBRETTO‐001 is an ongoing, global, open‐label, phase I/II study of selpercatinib in patients with advanced or metastatic solid tumors. We report interim patient‐reported outcomes in patients with RET fusion–positive non‐small cell lung cancer (NSCLC).
Anna Minchom +11 more
wiley +1 more source
The Oncologist, EarlyView., 2021 Abstract Background Medullary thyroid cancer (MTC) standard of care includes multikinase inhibitors (MKIs), which can exacerbate disease‐related diarrhea, primarily because of non‐RET kinase inhibition. We report diarrhea and other patient‐reported outcomes (PROs) with selpercatinib, a highly selective RET inhibitor, among patients with RET‐mutant MTC ...
Lori J. Wirth +10 more
wiley +1 more source
A neural network propagation model for LoRaWAN and critical analysis with real-world measurements [PDF]
, 2017 Among the many technologies competing for the Internet of Things (IoT), one of the most promising and fast-growing technologies in this landscape is the Low-Power Wide-Area Network (LPWAN).
Almoathen, Mahmood +3 more
core +1 more source
Arthritis Care &Research, Accepted Article.Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +109 more
wiley +1 more source
LoRa in a haystack: a study of the LORA signal behavior [PDF]
2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2019 Over the years, LoRa has been raising a lot of interest, both from the academia and the industry. LoRa is indeed a promising technology that enables long range and low power communications to connect IoT devices to the Internet. LoRa is often envisioned for several applications such as regular reporting but it is also aimed to be exploited for other ...
Amadou, Ibrahim +2 more
openaire +2 more sources
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Advanced Energy Materials, EarlyView.While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo +7 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
An approximate approach for the joint problem of level of repair analysis and spare parts stocking [PDF]
, 2015 For the spare parts stocking problem, generally METRIC type methods are used in the context of capital goods. A decision is assumed on which components to discard and which to repair upon failure, and where to perform repairs.
Basten, R.J.I. +3 more
core +2 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source