Abstract Energy is the basis for socio‐economic development. The effects of fossil‐based energy sources underscore the urgent need for renewable and cost‐effective alternatives. Biofuels derived from non‐edible and low‐cost feedstocks are a promising alternative.
Getachew D. Gebre +3 more
wiley +1 more source
Summer seasonal precipitation prediction in the middle and lower reaches of the Yangtze River using neural network approaches. [PDF]
Ren X, Li L.
europepmc +1 more source
Metabolomic investigation of cisplatin‐induced acute kidney injury in paediatric cancer patients
Aim Cisplatin causes acute kidney injury (AKI) in approximately 46% of paediatric cancer patients who receive it. Serum creatinine (SCr) is a poor biomarker of cisplatin nephrotoxicity, because there is a delay between cisplatin infusion and SCr elevation.
Yong Jin Lim +37 more
wiley +1 more source
EEG correlates of sleep stages, sleep discrepancy, and insomnia: a comparative analysis of people with insomnia and healthy sleepers using spectral power and sample entropy. [PDF]
LeCheminant JT +4 more
europepmc +1 more source
Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development
ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo +3 more
wiley +1 more source
Automated estimation of the logistic curve model of cerebral CO<sub>2</sub> vasomotor reactivity. [PDF]
Panerai RB +5 more
europepmc +1 more source
ABSTRACT Accurate prediction of bioprocess scale‐up is critical for accelerating the deployment of novel and sustainable biomanufacturing systems. However, this remains challenging as multi‐scale data is expensive to generate and mechanistic understanding is often incomplete, leading upscaling decisions to rely heavily on empirical expertise. This work
Harvey Al‐Ramadhan +3 more
wiley +1 more source
A Hybrid and Comparative Machine Learning Framework for Predicting Gestational Diabetes Mellitus via a Prospective Case-Control Design: A Pilot Study Integrating Periodontal Health and Hematological Inflammatory Markers. [PDF]
Temur İ, Özsan M, Temur KT, Çolak AB.
europepmc +1 more source
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad +5 more
wiley +1 more source
Do Banks in the Middle East and North Africa Region Price Carbon Exposure?
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim +2 more
wiley +1 more source

