Results 161 to 170 of about 301,535 (309)
Mapping meanings: methodological innovations to restore memories of place in a public park in Santiago de Chile. [PDF]
Valenzuela L +4 more
europepmc +1 more source
The Prospects of “Freed” Time: Pierre Huyghe and L'association Des Temps Libérés [PDF]
Rotenberg, L
core +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Qualitative research and nursing knowledge on human responses: considering diagnosis validity. [PDF]
Barradas C, Miguel S, Caldeira S.
europepmc +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
Postmodernism and Education in Nursing Science: The Case of Clinical Skills. [PDF]
Nikolaou E +3 more
europepmc +1 more source
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan +5 more
wiley +1 more source
Building science and subjectivity from flesh. Towards a reconceptualization of neurophenomenology as a contribution to interdisciplinary health research. [PDF]
Wiltsche HA, Zeiler K.
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source

