Results 111 to 120 of about 771,325 (233)

Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence [PDF]

, 2002
The main objective of the present work is to develop a framework for modelling and controlling of a real world multi-input and multi-output (MIMO) continuously drifting metallurgical process, which is shown to be a complex system.
C, S Kumar, Faruqi, M Aslam, Jallu, Krishnaiah, Roy, A K   +3 more
core  

Influence of relief on the atmospheric electric field

Solar-Terrestrial Physics
Measurements of the fair-weather electric field in mountainous areas are affected by the terrain, and therefore need additional calibration to be included in the global field picture.
Denisenko V. V.
doaj   +1 more source

FGFR Like1 drives esophageal cancer progression via EMT, PI3K/Akt, and notch signalling: insights from clinical data and next‐generation sequencing analysis

FEBS Open Bio, EarlyView.
Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava, Anoop Saraya, Deepak Gunjan, Rinu Sharma   +3 more
wiley   +1 more source

Attentional capture by meaning: A multi-level modelling study [PDF]

, 2007
We present a computational study of attentional capture by meaning, based on Barnard et al's key-distractor attentional blink task. We highlight a sequence of models, from an abstract black-box to a structurally detailed white-box model.
Barnard, Philip, Bowman, Howard, Su, Li
core   +1 more source

Farmland Segmentation in Landsat 8 Satellite Images Using Deep Learning and Conditional Generative Adversarial Networks

Remote Sensing
Leveraging mid-resolution satellite images such as Landsat 8 for accurate farmland segmentation and land change monitoring is crucial for agricultural management, yet is hindered by the scarcity of labelled data for the training of supervised deep ...
Shruti Nair, Sara Sharifzadeh, Vasile Palade   +2 more
doaj   +1 more source

Evaluation of in vitro toxicity of common phytochemicals included in weight loss supplements using 1H NMR spectroscopy

FEBS Open Bio, EarlyView.
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies, Garth L. Maker, Ian F. Musgrave, Samantha Lodge   +3 more
wiley   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

General to specific modelling of exchange rate volatility : a forecast evaluation [PDF]

, 2008
The general-to-specific (GETS) methodology is widely employed in the modelling of economic series, but less so in financial volatility modelling due to computational complexity when many explanatory variables are involved. This study proposes a simple
Bauwens, Luc, Sucarrat, Genaro
core   +1 more source

Graph Neural Network-Based EEG Classification: A Survey

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Graph neural networks (GNN) are increasingly used to classify EEG for tasks such as emotion recognition, motor imagery and neurological diseases and disorders. A wide range of methods have been proposed to design GNN-based classifiers.
Dominik Klepl, Min Wu, Fei He
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source