Results 91 to 100 of about 128,875 (283)

Anomaly detection using unsupervised machine learning algorithms: A simulation study

Scientific African
This study presents a comprehensive evaluation of five prominent unsupervised machine learning anomaly detection algorithms: One-Class Support Vector Machine (One-Class SVM), One-Class SVM with Stochastic Gradient Descent (SGD), Isolation Forest (iForest)
Edmund Fosu Agyemang
doaj   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source

Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties

Advanced Science, EarlyView.
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz, Niek van Hilten, Tatjana Weil, Thunchanok Thummaraj, Jeroen Methorst, Dennis Aschmann, Alexander Kros, Clarissa Read, Jasmina Gačanin, Herre Jelger Risselada, Jan Münch   +10 more
wiley   +1 more source

Outlier Ensemble Based on Isolation Forest: The CBOEA Approach

Foundations of Computing and Decision Sciences
Outliers are instances that deviate from the norm. In certain fields, their detection is crucial since they are often indicators of interesting events such as system faults and deliberate human actions.
Chaabouni Ali, Boujelben Mohamed Ayman
doaj   +1 more source

Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms

Procedia Computer Science, 2023
Czesław Horyń, Agnieszka Nowak Brzezińska   +1 more
openaire   +1 more source

3D Bioprinted Fat‐Myocardium Model Unravels the Role of Adipocyte Hypertrophy in Atrial Dysfunction

Advanced Science, EarlyView.
A human‐derived 3D bioprinted fat–myocardium model is developed to investigate how adipocyte hypertrophy drives atrial dysfunction in obesity. Palmitate‐induced adipocyte hypertrophy promotes adipose dysfunction that impairs atrial cardiomyocyte metabolism and electrophysiology through both paracrine and direct interactions. This platform recapitulates
Lara Ece Celebi, Pinar Zorlutuna
wiley   +1 more source

From Natural Discovery to AI‐Guided Design: A Curated Collection of Compact Enhancers for Crop Engineering

Advanced Science, EarlyView.
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao, Jin Gao, Keling Wang, Yufeng Liu, Peijin Han, Hong Pan, Xiaofeng Yang, Qianlan Yin, Dating Zhong, Lu Ye, Qi Deng, Lingling Gao, Xiaoyu Tu, Dequan Wang, Yuming Lu   +14 more
wiley   +1 more source

Targeting IL27RA Enhances Immunotherapy in Triple‐Negative Breast Cancer by Modulating Tumor Cells and the Tumor Microenvironment

Advanced Science, EarlyView.
IL27RA upregulation drives immune evasion in TNBC by suppressing MHC‐I expression and reprogramming T/NK‐cell states, establishing an immune‐excluded tumor phenotype. Targeting this epithelial‐intrinsic IL27RA–PI3K/AKT axis offers a promising strategy to overcome immunotherapy resistance.
Jiachi Xu, Qian Long, Meirong Zhou, Qitong Chen, Jing Peng, Qingchun Liang, Danhua Zhang, Hui Zhou, Wenjun Yi   +8 more
wiley   +1 more source