Results 181 to 190 of about 19,165 (241)

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

Research on short-term prediction method of photovoltaic power based on HPO-VMD-BiLSTM. [PDF]

Sci Rep
Li J, Li L, Du Q, Li Y.
europepmc   +1 more source

Adaptive Genomic Divergence Across Altitudes in Capsella bursa‐pastoris

Biological Diversity, EarlyView.
Genomic divergence was observed between high‐altitude and low‐altitude populations of Capsella bursa‐pastoris in China, consistent with an important role of ecological factors. Candidate adaptive loci associated with enhanced energy metabolism, photoprotection, and growth plasticity under altitudinal stress were identified.
Lu Liu, Jia Li, Xin Liu, Xue‐Jun Ge, Hui‐Run Huang   +4 more
wiley   +1 more source

PEPbench-Open, Reproducible, and Systematic Benchmarking of Automated Pre-Ejection Period Extraction Algorithms. [PDF]

Psychophysiology
Richer R, Jorkowitz J, Stühler S, Abel L, Kurz M, Oesten M, Griesshammer SG, Albrecht NC, Küderle A, Ostgathe C, Kölpin A, Steigleder T, Rohleder N, Eskofier BM.   +13 more
europepmc   +1 more source

Cultivating Circularity: Harnessing Industry 4.0 and Stakeholder Engagement for a Sustainable Agrifood Future in Brazil

Business Strategy and the Environment, EarlyView.
ABSTRACT This study analyzed Industry 4.0 (I4.0) technology applications in agribusiness and the role of strategic stakeholders, engagement methods, and other critical aspects data sharing, confidentiality, integrity, decision‐making, and sector‐specific requirements in promoting circularity.
Simone Sehnem, Lucila M. S. Campos, Tais Provensi, Charbel Jose Chiappetta Jabbour   +3 more
wiley   +1 more source

Generative adversarial networks and hyperparameter-optimized XGBoost for enhanced heart disease prediction. [PDF]

Sci Rep
Begum SS, Swamy A, Dhanka S, Abu-Shareha AA, Khan M, Husain I.   +5 more
europepmc   +1 more source

Empowering Circular Startups: Unveiling the Blueprint for Circular Business Models

Business Strategy and the Environment, EarlyView.
ABSTRACT Circular startups are increasingly recognized as key drivers in the transition toward a circular economy. Yet the business models (BMs) through which these startups operationalize circularity remain poorly understood, limiting the ability of entrepreneurial ecosystem actors to offer effective support.
Ann‐Sophie Finner, Linda Sagnier Eckert, Orestis Terzidis   +2 more
wiley   +1 more source

Mono- and Polyauxic Growth Kinetics: A Semi-Mechanistic Framework for Complex Biological Dynamics. [PDF]

Bull Math Biol
Mockaitis G.
europepmc   +1 more source

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui, Hamid Ghazi H. Sulimany   +1 more
wiley   +1 more source

Fully synthetic replication of complex real biological cell clusters using a novel cluster-based 'Rosetta-Routine' computational modelling process. [PDF]

PLoS Comput Biol
Mason B, Justham L, Whitby L, Whitby A, Scott S, Nti S, Petzing J.   +6 more
europepmc   +1 more source