Results 241 to 250 of about 1,612,182 (299)

Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics

Advanced Science, EarlyView.
The ultimate goal of cancer theranostics is to get imaging agents and therapeutic cargo to tumor sites when and where they are required. “Smart” systems should be developed. This review discusses the characteristics of physiological stimuli, types and action modes of external stimuli, construction approaches and working principles, as well as ...
Wenting Hu, Binglin Ye, Guocan Yu, Feihe Huang, Zhengwei Mao   +4 more
wiley   +1 more source

Digital finance and climate risk information disclosure. [PDF]

PLoS One
Ren H, Huang J, Ren J.
europepmc   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source

A multi-criteria approach to ESG-based portfolio optimization incorporating historical performance, forward-looking insights, and credibilistic CVaR: a case study on the DJIA. [PDF]

Sci Rep
Taheripour E, Sadjadi SJ, Amiri B.
europepmc   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Challenges in Meeting Dose Constraints During Left Postmastectomy Radiotherapy in a Patient With a Leadless Pacemaker. [PDF]

Cureus
Kikuchi K, Ota I, Sasaki H, Nakamura R.
europepmc   +1 more source

Imperfection in Semiconductors Leading to High Performance Devices

Advanced Science, EarlyView.
Crystalline perfection is typically pursued in semiconductors to enhance device performance. However, through modeling and experimental work, we show that defects can be strategically employed in a specific detection regime to increase sensitivity to extreme values. GaN diodes are demonstrated to effectively detect high‐energy proton beams at fluxes as
Jean‐Yves Duboz, Matilde Siviero, Lucas Lesourd, Eric Frayssinet, Sebastien Chenot, Petter Hofverberg, Sullivan Marafico, Marie Vidal, Maxime Hugues   +8 more
wiley   +1 more source

Can carbon emission trading policy promote enterprise green management innovation? [PDF]

Carbon Balance Manag
Wang Y, Li M, Hou J.
europepmc   +1 more source

Dose-Summation-Guided Re-irradiation Planning for Brain Metastases: Cross-Platform Verification Between Brainlab Elements and GammaPlan. [PDF]

Cureus
Matsunaga S, Shuto T, Sasame J.
europepmc   +1 more source

Emotional, relational, technological, and financial dimensions of transnational elder caregiving among Nigerian immigrants in Northern British Columbia. [PDF]

BMC Health Serv Res
Okigbo CS, Freeman S, Hemingway D, Holler J, Schmidt G.   +4 more
europepmc   +1 more source