Results 231 to 240 of about 27,411 (293)

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

India's agroecology programme, 'Zero Budget Natural Farming', delivers biodiversity and economic benefits without lowering yields. [PDF]

Nat Ecol Evol
Berger I, Kamble A, Morton O, Raj V, Nair SR, Edwards DP, Wauchope HS, Joshi V, Basu P, Smith B, Dicks LV.   +10 more
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Deep Learning-Based 3D Reconstruction for Defect Detection in Shipbuilding Sub-Assemblies. [PDF]

Sensors (Basel)
Arcano-Bea P, García-Fischer A, Gómez-González PP, Zayas-Gato F, Calvo-Rolle JL, Quintián H.   +5 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Non-agriculturalization of cultivated land in densely populated areas at the watershed scale: a case study of the Minjiang River Basin, China. [PDF]

PeerJ
Zhao X, Hu Z, Zhang Y, Wang J, Shi T, Liu Y, Zhang J, Wu G.   +7 more
europepmc   +1 more source

Wood fuel resources and bottlenecks of utilization in Baltic and Nordic countries. [PDF]

, 2003
Asikainen, Antti, Gjølsjø, Simen, Jaskelevicius, B, Johansson, D, Jylhä, Paula, Kairiukstis, L, Konstantinova, I, Lileng, Jørn Kristian, Lunnan, Anders, Mandre, Malle, Nurmi, Juha, Pärn, Henn, Röser, Dominik, Saksa, Timo, Sikanen, Lauri, Suadicani, Kjell, Toropainen, Mikko, Vilkriste, Lelde   +17 more
core  

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Impacts of long-term land use and land cover change on land suitability potential in three sub-catchments of the Lake Tana Basin, Ethiopia. [PDF]

Environ Monit Assess
Seifu R, Wagner PD, Tilahun SA, Fohrer N.   +3 more
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source