Results 131 to 140 of about 66,012 (265)

Optimization of bioactive compounds extraction from Rosa canina L. pseudofruit through the action of two hydrolytic enzyme preparations

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKROUND The pseudo‐fruit of Rosa canina L. is a rich source of bioactive compounds with antioxidant, anti‐inflammatory, anti‐cancer, anti‐diabetic, anti‐aging, and antimicrobial activities. The aim of the present study is the optimization of a green process based on the action of two hydrolytic enzyme preparations, namely Pectinex® Ultra ...
Zafeiria Lemoni, Styliani Kalantzi, Theopisti Lymperopoulou, Andromachi Tzani, Georgios Stavropoulos, Anastasia Detsi, Diomi Mamma   +6 more
wiley   +1 more source

On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events

International Journal of Climatology, EarlyView.
Daily and monthly precipitation data in Iraq display high seasonal to interdecadal variability, with arid and wet years that have very distinct seasonal cycles. Monthly rainfall is significantly correlated with the Indian Ocean Dipole. Extreme events are identified and classified as belonging to four different weather patterns, allowing to obtain daily
Ali Raheem Al‐Nassar, Josep L. Pelegrí, Pánfilo Masciángioli   +2 more
wiley   +1 more source

Multiobjective Test Problems with Degenerate Pareto Fronts

, 2018
In multiobjective optimisation, a set of scalable test problems with a variety of features allow researchers to investigate and evaluate the abilities of different optimisation algorithms, and thus can help them to design and develop more effective and efficient approaches.
Zhen, Liangli, Li, Miqing, Cheng, Ran, Peng, Dezhong, Yao, Xin   +4 more
openaire   +2 more sources

Machine Learning‐Driven Predictive Modeling and Multi‐Objective Exploration of Oxaliplatin‐Loaded Nanocarriers for Enhanced Loading and Encapsulation Efficiency

Materials Genome Engineering Advances, EarlyView.
Integrating ML and multi‐objective optimization enabled efficient, accurate design of nanocarriers with optimized loading and encapsulation efficiencies. ABSTRACT Oxaliplatin (OXA), a critical third‐generation platinum chemotherapeutic, is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery ...
Abbas Rahdar, Maryam Shirzad, Sonia Fathi‐Karkan, M. Ali Aboudzadeh   +3 more
wiley   +1 more source

Efficient Fairness-Performance Pareto Front Computation

There is a well known intrinsic trade-off between the fairness of a representation and the performance of classifiers derived from the representation. Due to the complexity of optimisation algorithms in most modern representation learning approaches, for a given method it may be non-trivial to decide whether the obtained fairness-performance curve of ...
Kozdoba, Mark, Perets, Binyamin, Mannor, Shie   +2 more
openaire   +2 more sources

Signal and Contrast Optimization With Predicted Excitations (SCOPE) for Accelerating Large FOV Body Imaging at UHF

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Large FOV turbo‐spin‐echo (TSE) imaging at ultra‐high field (UHF) remains challenging due to B1+ inhomogeneity and peak specific absorption rate (pSAR) limitations. This work presents a new time‐interleaved acquisition of modes (TIAMO) framework called SCOPE (Signal and Contrast Optimization with Predicted Excitations), which overcomes
Tobey D. Haluptzok, Simon Schmidt, Gregory J. Metzger   +2 more
wiley   +1 more source

Manufacturability‐Aware Multi‐Objective Screening of Filament‐Wound Type IV Pressure‐Vessel Cylindrical Sections Using Dual‐Pressure Hashin Constraints

Polymer Composites, EarlyView.
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley   +1 more source

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

Polymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco, Emilly Cruz da Silva, Glenda Sores Gomes, Joane Almeida Alves, Amanda Vidal, Leandro Argolo, Rafaela Ribeiro, Luciana Souza, José Augusto Pires Bitencourt, Leonardo Brasil Felipe, Leonie Asfora Sarubbo, Sidnei Cerqueira dos Santos   +11 more
wiley   +1 more source

A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem

Scientific Reports
In recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic.
Jiale Zhao, Huijie Zhang, Huanhuan Yu, Hansheng Fei, Xiangdang Huang, Qiuling Yang   +5 more
doaj   +1 more source

Hierarchical Multi-Population Cooperative Evolutionary Approach for Constrained Multi-Objective Optimization

Mathematics
To address the complexity of multi-constraint multi-objective optimization problems (mCMOPs), this paper proposes a novel multi-population evolutionary algorithm (MOEA).
Xinyue Xiang, Xinyuan Gu, Jiaqi Li, Siyuan Zhao   +3 more
doaj   +1 more source