Results 111 to 120 of about 56,994 (264)

Digital innovation for a greener future: the role of artificial intelligence in Europe's biofuel transition

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study investigates the relationship between artificial intelligence (AI) development and biofuel production using a balanced panel dataset of 12 European Union (EU) countries over the 2008–2024 period. Employing feasible generalized least squares (FGLS) estimation with distributed lag specifications, the analysis controls for Renewable ...
Tufan Sarıtaş, Emin Ahmet Kaplan, Yasin Büyükkör, Alper Aslan   +3 more
wiley   +1 more source

Pharmacokinetic‐pharmacodynamic modelling of risankizumab using chronic plaque psoriasis real‐world data

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Risankizumab is a high‐cost biologic treatment for chronic plaque psoriasis, an immune‐mediated inflammatory disease presenting with painful red scaly skin lesions. Inter‐individual heterogeneity in treatment response may be better addressed with personalised rather than fixed dosing. We sought to develop a pharmacokinetic/pharmacodynamic (
Charlotte M. Thomas, Jessica Ruoheng Wei, David Baudry, Zehra Arkir, Bola Coker, Tejus Dasandi, Kingsley Powell, Monica Arenas‐Hernandez, Jenny Leung, Krystal Rawstron, Chioma Nwaogu, Richard Woolf, Andrew E. Pink, Jonathan Barker, Joseph F. Standing, Catherine H. Smith, Satveer K. Mahil   +16 more
wiley   +1 more source

Risk of venous thromboembolism after SARS‐CoV‐2 vaccination—Evidence from genome‐wide association study and population‐based observational study

British Journal of Clinical Pharmacology, EarlyView.
Aim We aimed to investigate whether genetic variation is associated with venous thromboembolism after immunization with SARS‐CoV‐2 vaccines. Methods We conducted a genome‐wide association study (GWAS) on cases of venous thromboembolism within 42 days after SARS‐CoV‐2 vaccination, recruited from reports of adverse drug reactions sent to the Swedish ...
Sofia Attelind, Niclas Eriksson, Marco Cavalli, Yiyi Xu, Fredrik Nyberg, Anders Sundström, Mia Wadelius, Pär Hallberg   +7 more
wiley   +1 more source

Simulation Study for Variable Selection in Quantile Regression

Wasit Journal for Pure Sciences
Six essential techniques for variable selection in quantile regression models are thoroughly examined in this work. Quantile Lasso, gamma-divergence, quantile elastic net, quantile adaptive Lasso, quantile SCAD, and quantile MCP are some of these ...
HUSSEIN HASHEM
doaj   +1 more source

A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction

Biotechnology and Bioengineering, EarlyView.
ABSTRACT In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This study presents a modular mechanistic model of the IVT process to advance scientific understanding ...
Keqi Wang, Keilung Choy, Eli Reiser, Jinxiang Pei, Hua Zheng, Aparajita Dasgupta, Fuqiang Cheng, Guogang Dong, Bhanu Chandra Mulukutla, Joshua Mannheimer, Carolyn Huang, Hooman Farsani, Wei Xie   +12 more
wiley   +1 more source

Unlocking the investment nexus between artificial intelligence and Bitcoin: Modified cross-quantile regression insights

Social Sciences and Humanities Open
In recent years, cryptocurrencies have emerged as a prime digital currency and an important asset, and the financial system is emerging as an important aspect while artificial intelligence (AI) has advanced expeditiously.
Seyed Alireza Athari, Dervis Kirikkaleli, Chafic Saliba, Victoria Olushola Olanrewaju   +3 more
doaj   +1 more source

Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling

Biotechnology and Bioengineering, EarlyView.
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro, José Luis Checa‐Barrera, Juan A. Moreno‐Cid, Eoin Casey   +3 more
wiley   +1 more source

The extension of the taxon cycle model to island plants: insights from the Canarian vascular flora

Biological Reviews, EarlyView.
ABSTRACT Taxon cycle models describe eco‐evolutionary patterns of lineage colonization, diversification, and decline across archipelagos, inferring an important role for competition amongst ecologically similar taxa in driving concurrent niche changes.
José María Fernández‐Palacios, Rüdiger Otto, Robert J. Whittaker   +2 more
wiley   +1 more source

Do Corporate Strategies in Fintech and Green Finance Enhance ESG Performance? The Moderating Role of Government Policies

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite the growing interest in ESG performance, limited research explores the mediating role of government policy in the relationship between Fintech, green finance and ESG outcomes. We address this gap by examining how Fintech and green finance influence ESG performance through government policies.
Mandella Osei‐Assibey Bonsu, Samuel Clottey Attuquaye, Katie Hyslop, Ying Wang, Li Kaodui   +4 more
wiley   +1 more source

Digital Transformation and Informal Innovation in Africa: Reframing STI Policy for Inclusive Circular Economy Transitions

Business Strategy and the Environment, EarlyView.
ABSTRACT Amid increasing environmental and economic pressures, Africa's transition to a circular economy (CE) presents a vital pathway to inclusive, low‐carbon development. Yet, how digital transformation, informal innovation, and science, technology, and innovation (STI) policy readiness shape CE outcomes remains underexplored.
Emmanuel K. Manu, Isaiah Nketiah, Simplice A. Asongu   +2 more
wiley   +1 more source