Results 91 to 100 of about 1,047,492 (261)
Insightful visions – Artificial intelligence large language models in scientific writing
In the realm of ophthalmic research, the integration of artificial intelligence (AI) is burgeoning, promising a revolution in how scientific knowledge is written and disseminated.
John D Akkara
doaj +1 more source
Incorporating GAN for Negative Sampling in Knowledge Representation Learning
Knowledge representation learning aims at modeling knowledge graph by encoding entities and relations into a low dimensional space. Most of the traditional works for knowledge embedding need negative sampling to minimize a margin-based ranking loss ...
Li, Shuangyin, pan, Rong, Wang, Peifeng
core +1 more source
Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen +18 more
wiley +1 more source
With the advent of technologies such as augmented/virtual reality (AR/VR) that are moving towards displays with high efficiency, small size, and ultrahigh resolution, the development of optoelectronic devices with scales on the order of a few microns or ...
Ayush Pandey +2 more
doaj +1 more source
A muscle‐bone endocrine pathway in aging is revealed in which extracellular vesicles released from atrophic skeletal muscle (Aged‐SKM‐EVs) inhibit bone formation. These EVs deliver miR‐125a‐5p to osteoblasts, thereby suppressing the SIRT7‐Sp7 signaling axis and osteogenic differentiation.
Xiaoyan Shao +22 more
wiley +1 more source
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 +7 more
wiley +1 more source
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
Perturbative GAN: GAN with Perturbation Layers
Perturbative GAN, which replaces convolution layers of existing convolutional GANs (DCGAN, WGAN-GP, BIGGAN, etc.) with perturbation layers that adds a fixed noise mask, is proposed. Compared with the convolu-tional GANs, the number of parameters to be trained is smaller, the convergence of training is faster, the incep-tion score of generated images is
Kishi, Yuma +5 more
openaire +2 more sources
Dist-GAN: An Improved GAN Using Distance Constraints [PDF]
Published as a conference paper at ECCV ...
Ngoc-Trung Tran +2 more
openaire +2 more sources
Borophene: Crucial Challenges and the Way Forward
This review explores the challenges and progress in borophene research, focusing on synthesis strategies, structural properties, and potential applications. It highlights key experimental breakthroughs, discusses theoretical insights into borophene's unique features, and addresses pathways for overcoming stability and scalability issues.
Zhixuan Li +3 more
wiley +1 more source

