Results 91 to 100 of about 862 (232)

Density- and Temperature-Dependent Potentials: Redefinition of the Local Density to Improve the Simulation of Liquids within Generalized Dissipative Particle Dynamics. [PDF]

J Chem Theory Comput
Colella G, Larentzos JP, Bresme F, Bonet Avalos J.   +3 more
europepmc   +1 more source

Heat Stress and Gut Microbiome Dynamics in Poultry: Interplay, Consequences, and Mitigation Strategies

Animal Research and One Health, EarlyView.
Heat stress disrupts gut microbial balance in poultry, impairing nutrient absorption and immunity. This review outlines the interplay between thermal stress and microbiome dynamics and discusses integrative mitigation strategies, probiotics, phytogenics, cooling systems, and genetic adaptation to enhance poultry resilience.
O. E. Oke, A. I. Oni, O. A. Akosile, K. M. Oliyide, C. A. Ishola, M. O. Logunleko, O. A. Jimoh, C. P. Njoku, L. O. Fasasi, V. A. Uyanga   +9 more
wiley   +1 more source

Computational methods for inertial microfluidics: recent advances and future perspectives. [PDF]

Microsyst Nanoeng
Lauricella G, Naderi MM, Owen B, Mostafazadeh N, Zhou J, Peng Z, Papautsky I.   +6 more
europepmc   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

CABNas-nir: A near-infrared classification for urban pipe network sludge on the fusion algorithm of NAS framework and active learning. [PDF]

PLoS One
Yang Y, Fu L, Wei Q, Feng Y, Zhu L, Dai Y, Xiao W, Fan T, Jin X.   +8 more
europepmc   +1 more source

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller, Robin Schiemer, Lars Robbel, Michael Schmitt, Jürgen Hubbuch   +4 more
wiley   +1 more source

Investigation of Lacosamide solubility in supercritical carbon dioxide with machine learning models. [PDF]

Sci Rep
Esfandiari N.
europepmc   +1 more source

Integrating Digital Technologies Into Biochemistry Education: A Decade of Efforts, Pandemic Impacts, and Emerging Insights

Biochemistry and Molecular Biology Education, EarlyView.
ABSTRACT This review critically examines the integration of Digital Information and Communication Technologies (TDICs) in biochemistry education over the past decade, highlighting both the benefits and challenges from a critical theoretical perspective. A systematic review was conducted to identify relevant literature, followed by thematic analysis and
Francis Pereira‐Dias, Marina Bazzo de Espíndola   +1 more
wiley   +1 more source

A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs. [PDF]

Sci Data
Fang S, Majumder R, Hector E, Reich B, Sankarasubramanian A.   +4 more
europepmc   +1 more source

Lagrangian large eddy simulations via physics-informed machine learning. [PDF]

Proc Natl Acad Sci U S A, 2023
Tian Y, Woodward M, Stepanov M, Fryer C, Hyett C, Livescu D, Chertkov M.   +6 more
europepmc   +1 more source