Results 51 to 60 of about 1,994,533 (253)

Cross-Project Defect Prediction Method Based on Manifold Feature Transformation

open access: yesFuture Internet, 2021
Traditional research methods in software defect prediction use part of the data in the same project to train the defect prediction model and predict the defect label of the remaining part of the data.
Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen
doaj   +1 more source

Lysyl oxidase (LOX)‐mediated remodeling of the extracellular matrix

open access: yesFEBS Letters, EarlyView.
The lysyl oxidase (LOX) family of enzymes drives extracellular matrix remodeling by oxidizing collagen, elastin, and fibronectin, promoting covalent cross‐link formation. This activity regulates tissue architecture and mechanical properties, while its dysregulation contributes to fibrosis, cardiovascular disease, glaucoma, connective tissue disorders ...
Fernando Rodríguez‐Pascual   +3 more
wiley   +1 more source

Machine Learning-Guided Optimization of Defects in In-Situ Alloyed Additively Manufactured Parts

open access: yesJournal of Manufacturing and Materials Processing
In-situ alloying during laser powder bed fusion (LPBF) offers great compositional flexibility but is prone to process-induced defects. To address this problem, we developed a machine learning framework to predict and minimize major defects such as ...
Shaaf Shelesh Nezhad, Sravya Tekumalla
doaj   +1 more source

Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

open access: yesFEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

A Novel Unsupervised Method for Software Defect Prediction Based on Clustering Assumption

open access: yesIEEE Access
Software defect prediction (SDP) is a very important technique used in the software testing. It helps to quickly predict the defects contained in software in the early stage of development.
Shiqi Tang   +3 more
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

Virtual Manufacturing Finite Element Framework for Defect Prediction in Resin Impregnation Processes

open access: yesEngineering Proceedings
In resin impregnation processes for composite manufacturing, proper infusion of the preform is essential to achieve optimal component quality. Manufacturing-induced defects, such as voids, are commonly present in the final product; however, minimizing ...
Giorgio Maria D’Orazi   +2 more
doaj   +1 more source

Defect patterns and structural properties in a mature well-specified software system [PDF]

open access: yes, 2008
Software engineering is not an empirically based discipline. As a result, many of its practices are based on little more than a generally agreed feeling that something may be true.
Hopkins, Tim, Hatton, Leslie
core  

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

open access: yesMolecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis   +3 more
wiley   +1 more source

An Empirical analysis of Open Source Software Defects data through Software Reliability Growth Models [PDF]

open access: yes, 2013
The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) using Software Reliability Growth Models (SRGM). This study uses defects data of twenty five different releases of five OSS projects.
Najeeb Ullah   +3 more
core   +1 more source

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