Results 41 to 50 of about 505,761 (263)

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Imbalanced data presents significant challenges in machine learning, leading to biased classification outcomes that favor the majority class. This issue is especially pronounced in the classification of financial distress, where data imbalance is common ...
Didit Johar Maulana, Siti Saadah, Prasti Eko Yunanto   +2 more
doaj   +1 more source

Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair Classifications

IEEE Access, 2023
Bias in software systems is a serious threat to human rights: when software makes decisions that allocate resources or opportunities, may disparately impact people based on personal traits (e.g., gender, ethnic group, etc.), systematically (dis ...
Mariachiara Mecati, Marco Torchiano, Antonio Vetro, Juan Carlos de Martin   +3 more
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Tnc-Net: Automatic Classification for Thyroid Nodules Lesions Using Convolutional Neural Network

IEEE Access
Automatic and accurate classification of thyroid nodules is of great significance to doctors for clinical diagnosis and subsequent treatment recommendations.
Junyang Cao, Yangping Zhu, Xing Tian, Juan Wang   +3 more
doaj   +1 more source

Performance Improvement of Deep Learning Based Multi-Class ECG Classification Model Using Limited Medical Dataset

IEEE Access, 2023
Medical data often exhibit class imbalance, which poses a challenge in classification tasks. To solve this problem, data augmentation techniques are used to balance the data.
Sanghoon Choi, Hyo-Chang Seo, Min Soo Cho, Segyeong Joo, Gi-Byoung Nam   +4 more
doaj   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

FEBS Letters, EarlyView.
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa, Akira Hattori, Masafumi Tsujimoto, Toshihide Kobayashi   +3 more
wiley   +1 more source

DATA IMBALANCE IN LANDSLIDE SUSCEPTIBILITY ZONATION: UNDER-SAMPLING FOR CLASS-IMBALANCE LEARNING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Abstract. Machine learning methods such as artificial neural network, support vector machine etc. require a large amount of training data, however, the number of landslide occurrences are limited in a study area. The limited number of landslides leads to a small number of positive class pixels in the training data.
S. K. Gupta, M. Jhunjhunwalla, A. Bhardwaj, D. P. Shukla   +3 more
openaire   +3 more sources

Support Vector Machine-Based Fault Diagnosis under Data Imbalance with Application to High-Speed Train Electric Traction Systems

Machines
The safety and reliability of high-speed train electric traction systems are crucial. However, the operating environment for China Railway High-speed (CRH) trains is challenging, with severe working conditions. Dataset imbalance further complicates fault
Yunkai Wu, Tianxiang Ji, Yang Zhou, Yijin Zhou   +3 more
doaj   +1 more source