Results 51 to 60 of about 189,902 (294)

Green Federated Learning: A New Era of Green Aware AI

ACM Computing Surveys
The development of AI applications, especially in large-scale wireless networks, is growing exponentially, alongside the size and complexity of the architectures used. Particularly, machine learning is acknowledged as one of today’s most energy-intensive computational applications, posing a significant challenge to the environmental sustainability of ...
Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Francesco Piccialli   +3 more
openaire   +5 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +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

"Integrating AI and AEM Electrolyzer for Green Hydrogen Production: Optimization of Solar-Powered Electrolysis in Residential Energy Management" [PDF]

, 2023
openThis master's thesis presents a comprehensive study on the forecasting of short-term power generation in a grid-connected hybrid solar photovoltaic (PV) system through the utilization of an artificial intelligence (AI) model.
SABERIABKOUHI, MEHDI
core  

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

FEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

How artificial intelligence drives corporate green innovation: Intelligent empowerment and smart manufacturing transformation in the digital era

International Review of Economics & Finance
Amid the accelerating convergence of global green transition and digital intelligence, understanding how artificial intelligence (AI) facilitates corporate green innovation has become a pressing issue in both academic discourse and policy practice.
Yinghao Song, Yanhui Li, Jinghan Liu, Zhaian Bian, Chongrun Wang   +4 more
doaj   +1 more source

The Transformative Potential of AI in Green Marketing Strategies

, 2023
<p>This paper explores how AI can greatly enhance green marketing strategies by improving customer targeting, providing personalized recommendations, optimizing supply chains, and accurately forecasting market trends.
Karim, Darban
core   +1 more source

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

FEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke, Michal Banasik, Rokas Juodeikis, Martin J. Warren, Richard W. Pickersgill   +4 more
wiley   +1 more source

Designing green artificial intelligence (Green AI) models for finance: a novel approach for sustainable and responsible adoption

Financial Innovation
The increasing adoption of Artificial Intelligence (AI) in finance raises growing concerns about its environmental footprint, particularly energy consumption and carbon emissions.
Ismail Elbouknify, Marcos R. Machado, Maria Iannario   +2 more
doaj   +1 more source