Results 131 to 140 of about 3,745,728 (280)

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

FEATURE SELECTION COMPARATIVE PERFORMANCE FOR UNSUPERVISED LEARNING ON CATEGORICAL DATASET

open access: yesTechno Nusa Mandiri: Journal of Computing and Information Technology
In the era of big data, Knowledge Discovery in Databases (KDD) is vital for extracting insights from extensive datasets. This study investigates feature selection for clustering categorical data in an unsupervised learning context.
Rachmad Fitriyanto, Mohamad Ardi
doaj   +1 more source

Single‐Cell RNA Editing Identifies T Cell ADAR1 as a Key Regulator of Immune Exhaustion and Anti‐PD‐1 Resistance in Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
Single‐cell RNA editing analysis identifies ADAR1 as a regulator of dysfunctional T cell states in colorectal cancer. Elevated ADAR1 activity promotes T cell exhaustion and impairs antitumor immunity partly through TGF‐β‐SMAD signaling, contributing to anti‐PD‐1 resistance and highlighting T cell ADAR1 as a potential therapeutic target and biomarker ...
Da Kang   +10 more
wiley   +1 more source

Unsupervised Feature Selection Based on Low Dimensional Embedding and Subspace Learning

open access: yesInternational Journal of Information and Communication Technology Research, 2020
— Nowadays, we face a huge number of high-dimensional data in different applications and technologies. To tackle the challenge, various feature selection methods have been recently proposed for reducing the computational complexity of the learning ...
Hadi Zare   +3 more
doaj  

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park   +4 more
wiley   +1 more source

Single‐Cell Profiling Identifies SLC2A5‐Mediated Fructose Metabolism as a Vulnerability in Primary CNS Lymphoma

open access: yesAdvanced Science, EarlyView.
Glucose deprivation in the primary CNS lymphoma (PCNSL) tumor microenvironment drives SLC2A5 (encoding GLUT5)‐dependent fructose metabolism in tumor cells, while hypoxia induces HIF‐mediated SLC2A5 expression in tumor‐supportive macrophages, revealing SLC2A5‐driven fructose utilization as a shared and targetable metabolic vulnerability across malignant
Qiaoli Wu   +13 more
wiley   +1 more source

Targeted Delivery of Indole‐3‐Pyruvic Acid Suppresses Macrophage Ferroptosis to Enhance CD8+ T Cell‐Mediated Immunotherapy Response in Bladder Cancer

open access: yesAdvanced Science, EarlyView.
A microbiota‐derived metabolite, indole‐3‐pyruvic acid, suppresses macrophage ferroptosis through the AHR–NF‐κB–SLC7A11 axis. This preserves CD8+ T cell function in bladder cancer. Macrophage‐targeted nanoparticles enhance indole‐3‐pyruvic acid delivery and overcome resistance to PD‐1 blockade.
Jianwen Lao   +15 more
wiley   +1 more source

Whole‐Genome Sequencing Pilot of the Central Asian Genomic Diversity Project Reveals Distinct Histories, Adaptation, and Introgression

open access: yesAdvanced Science, EarlyView.
As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang   +11 more
wiley   +1 more source

Single‐Cell and Spatial Transcriptomics Unveil Key Regulators Governing Cell Differentiation for Schistosoma japonicum Sexual Development

open access: yesAdvanced Science, EarlyView.
Using single‐cell and spatial transcriptomics, we identified key regulators that govern cell differentiation involved in parasite development and egg laying in Schistosoma japonicum. This comprehensive study establishes a foundational resource for understanding schistosome biology, deciphers the regulatory programs underlying cell differentiation and ...
Zhigang Lu   +9 more
wiley   +1 more source

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