Results 211 to 220 of about 2,433,577 (353)

Hybrid modeling for optimizing cell cultivation in mAb production using a small‐scale automated experimental platform

AIChE Journal, EarlyView.
Abstract This work presents the optimization of cell cultivation for monoclonal antibody (mAb) production. We developed a hybrid model describing the effects of multiple process variables on antibody productivity and impurity generation. An automated platform with 12 × 250 mL bioreactors was set up.
Kosuke Nemoto, Yuki Yoshiyama, Mizuki Morisasa, Junshin Iwabuchi, Yusuke Hayashi, Sara Badr, Hirokazu Sugiyama   +6 more
wiley   +1 more source

Isopod feces-mediated shifts in germination timing enhance seedling establishment. [PDF]

New Phytol
Yamawo A, Ishikawa H, Takekawa M, Nakashima N, Ohsaki H, Mukai H, Kanno Y, Seo M, Todoroki Y, Takeuchi J, Sawa S.   +10 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Integrated data on the taxon and morpho-specific year-round diet and endozoochorous seed dispersal by the world's largest grouse, the Capercaillie Tetrao urogallus. [PDF]

Sci Data
Czarnecka J, Merta D, Kobielski J, Karg J, Orłowski G.   +4 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Seed Storage of Indian Forest Plants [PDF]

Nature, 1949
openaire   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Reproductive Constraints and Severe Pollinator Limitation in the Mexican Endemic Orchid <i>Govenia capitata</i>: Implications for Conservation. [PDF]

Plants (Basel)
López-Olvera M, Galindo-Flores G, López-Escamilla AL, Lara C.   +3 more
europepmc   +1 more source

Rehabilitation of the Aberdare forest ecosystem. A project implemented by the Green Belt Movement and supported by the French Agency for Development : A report of the mid term review mission (CIRAD Consultancy team, Nairobi, September, 17 - October 02, 2009) [PDF]

, 2009
Depommier, Denis, Kabengi, Munene, Louppe, Dominique   +2 more
core  

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source