Results 231 to 240 of about 916,158 (354)

Evolutionary Trajectories of Consciousness: From Biological Foundations to Technological Horizons. [PDF]

Brain Sci
Gusev E, Sarapultsev A, Komelkova M.
europepmc   +1 more source

Prognostic Impact of Immunoscore in Pathological Stage III Differentiated Gastric Cancer: A Multicenter Cohort Study Including PD‐L1/PD‐L2 Expression Analysis

Annals of Gastroenterological Surgery, EarlyView.
We assessed the prognostic ability of the Immunoscore and PD‐L1 or PD‐L2 expression in pStage III GC patients by immunohistochemistry. The results showed that Immunoscore was an independent prognostic factor in differentiated GC, but not in undifferentiated GC.
Yoshiro Yukawa, Takuro Saito, Yukinori Kurokawa, Yusuke Akamaru, Shinya Kidogami, Hiroshi Imamura, Kazumasa Fujitani, Jin Matsuyama, Kazuyoshi Yamamoto, Tsuyoshi Takahashi, Takahiro Matsui, Eiichi Morii, Hidetoshi Eguchi, Yuichiro Doki   +13 more
wiley   +1 more source

Nurses' Attitudes in Adolescent Oncology Care: Supporting Adolescents While Navigating Emotional Challenges and Fostering Mutual Subjectivity. [PDF]

Cureus
Nambu M, Matsuoka M.
europepmc   +1 more source

Time and Subjectivity in World Politics

, 2014
Ty Solomon
semanticscholar   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source

Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication. [PDF]

NPJ Digit Med
Mandal S, Wiesenfeld BM, Szerencsy AC, Small WR, Major V, Richardson S, Schoenthaler A, Mann D, Nov O.   +8 more
europepmc   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Intelligent data driven assessment of physical education programs using circular intuitionistic fuzzy MAIRCA CRITIC model. [PDF]

Sci Rep
Shi X, Li F.
europepmc   +1 more source

International and European policy on work and retirement: Reinventing critical perspectives on active ageing and mature subjectivity

, 2013
T. Moulaert, S. Biggs
semanticscholar   +1 more source

Subject Index

Revista do GEL, 2005
openaire   +24 more sources