Results 51 to 60 of about 11,335 (296)

Architectural Description of Dependable Software Systems [PDF]

open access: yes, 2005
Architectural description languages (ADLs) are used within the software engineering community to support the description of high-level structure, or architecture, of software systems. A major advantage of this is the ability to analyze and evaluate trade-
Gacek, Cristina   +3 more
core   +1 more source

Analysis method of software failure modes in command information system based on complex networks [PDF]

open access: yesZhihui kongzhi yu fangzhen
The command information system software forms a network through sophisticated interactions, where a single software failure can widely propagate within the network and cause severe consequences.
WANG Bo, JIANG Xuping, JING Huiqian
doaj   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

The scientific basis for prediction research

open access: yes, 2012
Copyright @ 2012 ACMIn recent years there has been a huge growth in using statistical and machine learning methods to find useful prediction systems for software engineers.
Shepperd, M, Martin Shepperd
core   +1 more source

Software Fault Prediction Using Deep Learning Techniques

open access: yesSoftware Quality Journal, 2022
Abstract Software fault prediction (SFP) techniques are used to identify faults at the early stages of the software development life cycle (SDLC). We find machine learning techniques as commonly used techniques for SFP as compared to deep learning methods which can produce more accurate results.
Iqra Batool, Tamim Ahmed Khan
openaire   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Modeling Software Fault-Detection and Fault-Correction Processes by Considering the Dependencies between Fault Amounts

open access: yesApplied Sciences, 2021
Many NHPP software reliability growth models (SRGMs) have been proposed to assess software reliability during the past 40 years, but most of them have focused on modeling the fault detection process (FDP) in two ways: one is to ignore the fault ...
Qiuying Li, Hoang Pham
doaj   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Improved prediction of software defect: A particle swarm optimization based ELM approach

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
Ensuring software reliability before deployment is essential, as human errors during development are a major source of defects. Identifying and resolving these issues at an early stage can greatly minimize their impact.
Debasish Pradhan, Debendra Muduli
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

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