Results 91 to 100 of about 442,254 (313)

Spatio‐Temporal Proteomic Landscape Reveals Early Warning Signals of Esophageal Squamous Cell Carcinoma Progression

open access: yesAdvanced Science, EarlyView.
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li   +12 more
wiley   +1 more source

A Closed‐Loop Hybrid Discovery System of Type I Photosensitizers for Hypoxic Tumor Therapy

open access: yesAdvanced Science, EarlyView.
The work developed a closed‐loop hybrid discovery system to rationally design and predict high‐performance Type I PSs for hypoxic tumor therapy. 664 Potential candidates are identified from a dataset through a support vector machine (SVM) classification model, and two candidates are experimentally verified as Type I PSs, which highlighted the potential
Xia Ling   +9 more
wiley   +1 more source

Oxygen‐Regulated GaN‐Based Sensors Fabricated by MOCVD for Switchable Gas Detection: Exhaled Gas Smart Platform for Non‐Invasive Disease Detection

open access: yesAdvanced Science, EarlyView.
This work presents highly consistent GaN‐based thin‐film gas sensors prepared by MOCVD for non‐invasive breath analysis. The sensors exhibit tunable selectivity from oxidizing to reducing gases by incorporating In composition, ultra‐low detection limits and humidity resistance.
Yuxuan Wang   +9 more
wiley   +1 more source

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Benchmarking least squares support vector machine classifiers. [PDF]

open access: yes
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Baesens, Bart   +7 more
core  

Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides

open access: yesAdvanced Science, EarlyView.
To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li   +9 more
wiley   +1 more source

OCTN2 Activates a Non‐Canonical Carnitine Metabolic Pathway to Promote MASH‐HCC Progression and Immunotherapy Resistance

open access: yesAdvanced Science, EarlyView.
In non‐MASH‐HCC, L‐carnitine promotes tumor progression primarily through its classical role in enhancing fatty acid oxidation (FAO). However, in MASH‐HCC, where FAO is markedly suppressed, L‐carnitine shifts from this canonical function to serve instead as an intracellular acetyl group buffer.
Chuqi Xia   +11 more
wiley   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

ارزیابی یادگیری ماشین و سنجش از دور در تخمین تبخیر و تعرق مرجع [PDF]

open access: yesمدیریت آب و آبیاری
تبخیر و تعرق مرجع (ETo) یکی از اساسی‌ترین متغیرها در تعیین نیاز آبی محصول و برنامه‌ریزی و طراحی سامانه‌های آبیاری است. مدل‌های یادگیری ماشین برای رفع محدودیت‌های مدل‌های تجربی و برآورد تبخیر تعرق (ET) توسعه داده‌ شده‌اند.
جوانشیر عزیزی مبصر   +2 more
doaj   +1 more source

Penerapan Metode Support Vector Machine (SVM) Dalam Klasifikasi Produktivitas Padi

open access: hybrid, 2023
Hamim Tohari   +4 more
openalex   +2 more sources

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