Chemical Approaches for Array Based Detection of Amyloids
Advanced Sensor Research, EarlyView.Amyloids are protein aggregates with both pathological and functional roles. Their detection is challenged by structural polymorphism, isoform diversity, and dynamic aggregation behavior. This review presents chemical array‐based sensing strategies that address these complexities, emphasizing fluorescence and colorimetric methods, alongside ...
Paulo M. Simon, Yijia Xu, Amandeep Kaur
wiley +1 more source
Emotional recognition while watching emotional videos: Based on electroencephalography signal analysis and machine learning models. [PDF]
IbrainAsl AS, Karimpour S.
europepmc +1 more source
Corn Zein Nanocarriers for Agrochemical Delivery and Smart Packaging
Advanced Sustainable Systems, EarlyView.This review explores zein, a corn‐derived biodegradable protein, as a multifunctional nanocarrier for sustainable agriculture and packaging. It examines advances in agrochemical delivery, smart packaging, and stimuli‐responsive systems, while addressing scalability, environmental fate, and regulatory barriers.
Muhammad Shahidul Islam +2 more
wiley +1 more source
Artificial intelligence in student management systems to enhance academic performance monitoring and intervention. [PDF]
Sci RepWang Y.
europepmc +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
Advanced Theory and Simulations, EarlyView.A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic +3 more
wiley +1 more source
Tree-Hillclimb Search: An Efficient and Interpretable Threat Assessment Method for Uncertain Battlefield Environments. [PDF]
Entropy (Basel)Zeng Z, Peng J, Feng Q.
europepmc +1 more source
Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques
Advanced Theory and Simulations, EarlyView.This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka +4 more
wiley +1 more source
Evaluating the performance of different machine learning algorithms based on SMOTE in predicting musculoskeletal disorders in elementary school students. [PDF]
BMC Med Res MethodolManoochehri S +4 more
europepmc +1 more source