Results 51 to 60 of about 46,956 (318)

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Implementation of Structured Object-Oriented Formal Language for Warehouse Management System

CommIT Journal, 2020
Designing process is inseparable from software development. Like other software development processes, designing process faces many problems, such as improper and ambiguous specifications.
Irfin Afifudi, Inge Martina
doaj   +1 more source

A cost model based on software maintainability [PDF]

2012 28th IEEE International Conference on Software Maintenance (ICSM), 2012
In this paper we present a maintainability based model for estimating the costs of developing source code in its evolution phase. Our model adopts the concept of entropy in thermodynamics, which is used to measure the disorder of a system. In our model, we use maintainability for measuring disorder (i.e. entropy) of the source code of a software system.
Bakota Tibor, Hegedűs Péter, Ladányi Gergely, Körtvélyesi Péter, Ferenc Rudolf, Gyimóthy Tibor   +5 more
openaire   +3 more sources

ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling

FEBS Letters, EarlyView.
In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li, Gerard van der Zon, Peter ten Dijke, Tong Shen   +3 more
wiley   +1 more source

Code Smell Detection Using Ensemble Machine Learning Algorithms

Applied Sciences, 2022
Code smells are the result of not following software engineering principles during software development, especially in the design and coding phase. It leads to low maintainability.
Seema Dewangan, Rajwant Singh Rao, Alok Mishra, Manjari Gupta   +3 more
doaj   +1 more source

C‐mannosylation promotes ADAMTS1 activation and secretion in human testicular germ cell tumor NEC8 cells

FEBS Letters, EarlyView.
C‐mannosylation is a unique form of protein glycosylation. In this study, we demonstrated that ADAMTS1 is C‐mannosylated at Trp562 and Trp565 in human testicular germ cell tumor NEC8 cells. We found that C‐mannosylation of ADAMTS1 is essential for its secretion, processing, enzymatic activity, and ability to promote vasculogenic mimicry. These findings
Takato Kobayashi, Takehiro Suzuki, Ryota Kawahara, Natsumi Harai, Naoshi Dohmae, Siro Simizu   +5 more
wiley   +1 more source

Programinės įrangos priežiūrumo ir priežiūros matavimas

Informacijos Mokslai, 2011
Programinės įrangos priežiūra suprantama kaip programinės įrangos modifikavimas atidavus naudotojui. Programos modifikuojamos taisant rastas klaidas, gerinant įvairius programinės įrangos parametrus, plečiant arba keičiant funkcionalumą.
Sigitas Dapkūnas, Valdemaras Zaramba
doaj   +1 more source

Software Design Criteria for Maintainability [PDF]

, 1995
One of the current issues in the software engineering community is related to problems of software maintenance. It is a common belief that these problems are caused by bad software design and poor maintenance practices.
Deraman, Aziz, P. J., Layzell
core  

Ergothioneine supplementation improves pup phenotype and survival in a murine model of spinal muscular atrophy

FEBS Letters, EarlyView.
Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile, Daniela Ratto, Giorgia Rastelli, Ottavia Eleonora Ferraro, Caterina Temporini, Sunil Kumar, Simona Boncompagni, Paola Rossi, Monica Canepari   +8 more
wiley   +1 more source

SENSITIVITY-BASED LINEAR LEARNING METHOD AND EXTREME LEARNING MACHINES COMPARED FOR SOFTWARE MAINTAINABILITY PREDICTION OF OBJECT-ORIENTED SOFTWARE SYSTEMS [PDF]

ICTACT Journal on Soft Computing, 2013
This paper presented two maintainability prediction models that are developed and compared for object-oriented software systems based on the recently introduced learning algorithm called Sensitivity Based Linear Learning Method (SBLLM) and extreme ...
Sunday Olusanya Olatunji
doaj