Results 91 to 100 of about 2,791,874 (252)

Blockchain-Enabled Smart Contract Architecture for Optimal Energy Routing in Smart Grids Using Graph-Theoretic Loss Minimization

IEEE Access
The integration of renewable resources and prosumers into smart grids poses challenges related to scalability, transparency, and transmission efficiency.
Madina Konyrova, Katipa Chezhimbayeva, Abdul Razaque, Dina S. M. Hassan   +3 more
doaj   +1 more source

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

Consistent multilabel ranking through univariate loss minimization [PDF]

, 2012
We consider the problem of rank loss minimization in the setting of multilabel classification, which is usually tackled by means of convex surrogate losses defined on pairs of labels.
Kotłowski, Wojciech, Hüllermeier, Eyke, Dembczyński, Krzysztof, Pineau, Joelle, Langford, John   +4 more
core   +2 more sources

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Optimal Planning of Wind-Based DG: A Two-Stage Approach Linking Penetration Factor, Turbine Type Selection, Capacity, and Power Factors to Minimize Line Losses

IEEE Access
The growing penetration of wind energy into power distribution networks necessitates advanced planning models to ensure efficient integration and improved network operation.
Sina Saboktakin, Tarek Medalel Masaud, Ehab F. El-Saadany   +2 more
doaj   +1 more source

Minimization of transmission loss using distributed generation approach

International Journal for Simulation and Multidisciplinary Design Optimization, 2018
The goal of this work is to calculate the total loss in the system and minimize this loss by implementation of distributed generation (DG) technology. In this paper, load flow analysis method is followed to calculate the loss in the system in conjunction
Lamin Chaantrea Miky, Singh Arvind Kumar
doaj   +1 more source

Effective Loss Minimization and Allocation of Unbalanced Distribution Network

Energies, 2017
An efficient distribution network must be able to supply power with good voltage profile. The main objective of the proposed work is to allocate losses of the unbalanced distribution network by the firefly algorithm in regulated and deregulated ...
Manvir Kaur, Smarajit Ghosh
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS RECONFIGURACIÓN A MÍNIMAS PÉRDIDAS, CONSIDERANDO LA ALEATORIEDAD DE LA CARGA: APLICACIÓN A SISTEMAS

Ingeniare: Revista Chilena de Ingeniería, 2008
This paper approaches the minimal loss reconfiguration problem, taking into account the load variations of the systems, through a stochastic reconfiguration process. The Monte Carlo method is used to consider the natural load variation.
Hugo Opazo Mora, Luis García-Santander, Enrique López Parra, Rodrigo López González, Jorge Mendoza Baeza   +4 more
doaj  

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source