Results 181 to 190 of about 1,594,640 (347)

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source

Influence of the Degree of Substitution of Carboxymethyl Cellulose Binders on the Properties and Performance of Aqueously Processed LiNi0.6Mn0.2Co0.2O2‐Based Positive Electrodes—A Comparative Study

Advanced Energy and Sustainability Research, EarlyView.
Aqueous processing of positive electrodes is a crucial step toward sustainable production of lithium ion batteries. Therein, the individual properties of the binding agent can largely influence processing, the physical electrode properties, and thus, the electrochemical performance and cycle life.
Johanna Kauling, Chirag Vankani, Martin Winter, Markus Börner   +3 more
wiley   +1 more source

Effects of decontamination, sterilization, and preconditioning treatments on energy- dissipating properties of balsa wood [PDF]

Decontamination, sterilization, and preconditioning effects on energy dissipating properties of balsa ...
Bernett, E. C.
core   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

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

Effect of Different Aqueous Solvents with and Without Solubilized Lignin on the Swelling Behavior of Holocellulose Fibers. [PDF]

Polymers (Basel)
Hofbauer C, Harter T, Hirn U, Harasek M, Zelaya-Lainez L, Füssl J, Lukacevic M, Serna-Loaiza S.   +7 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Effect of Microwave-Assisted Impregnation on the Leaching Resistance of ACQ in Refractory Spruce Wood

BioResources
Microwave (MW) treatment is an environmentally friendly and time-saving technique with great potential for generating wood-impregnation innovations.
Kübra Gündüz Vaydogan, Hamiyet Şahin Kol   +1 more
doaj   +2 more sources

Advances in Wood Processing, Flame-Retardant Functionalization, and Multifunctional Applications. [PDF]

Polymers (Basel)
Fang Y, Chen K, Xu L, Zhang Y, Xiao Y, Yuan Y, Wang W.   +6 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