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
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
Advanced Science, EarlyView.ST6GAL1 plays a critical role in tumor progression and immune regulation in colorectal cancer (CRC). Its depletion significantly suppresses the malignant phenotype of CRC cells and enhances the efficacy of anti‐PD‐L1 therapy. High ST6GAL1 expression promotes an immune‐activated tumor microenvironment (TME), characterized by increased infiltration of ...
Ximo Xu +15 more
wiley +1 more source
Corrigendum to "Effect of ferritin, INR, and D-dimer immunological parameters levels as predictors of COVID-19 mortality: A strong prediction with the decision trees" [Heliyon Volume 9, Issue 3, March 2023, Article e14015]. [PDF]
HeliyonHuyut MT, Huyut Z.
europepmc +1 more source
Advanced Science, EarlyView.This work demonstrates the distinct roles of the glutamate formiminotransferase (GFT) enzyme in plants. The GFT triggers the conversion of 5‐methyl‐tetrahydrofolate to MeFox in plants, a process distinct from its role as a formiminotransferase in mammals.
Tong Lian +15 more
wiley +1 more source
Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees. [PDF]
HeliyonŞahi N KN, Sutcu M.
europepmc +1 more source
Advanced Science, EarlyView.Ma et al. report the hippocampal and hepatic acetylcholine (ACh) levels are differently modulated by regular versus irregular exercise, which contributes to coordinate hippocampal astrocyte activity and hepatic FBXL6high neutrophil recruitment. This ACh‐modulated brain‐liver circuit links the effects of exercise on fear memory extinction and liver ...
Pengjiao Ma +10 more
wiley +1 more source
The utilization of decision trees on orthopantomographic and lateral panoramic graphs for the diagnosis of unilateral anterior disc displacement of the temporomandibular joint. [PDF]
BMC Oral HealthNaralan ME, Cakir B, Orhan K.
europepmc +1 more source
Advanced Microfluidics for Single Cell‐Based Cancer Research
Advanced Science, EarlyView.Cutting‐edge microfluidic platforms are transforming single‐cell cancer research. This review highlights advanced technologies, from droplet microfluidics to tumour‐chips, that enable functional and spatial single‐cell analyses. By integrating biosensing, immune components, and patient‐derived materials, these systems offer new insights into tumour ...
Adriana Carneiro +10 more
wiley +1 more source
Developmental Hypoxia Enhances Kidney Organoid Complexity and Maturity
Advanced Science, EarlyView.The current bottleneck in metanephric mesenchyme (MM)‐derived nephron organoid development is the absence of a connected network of collecting ducts (CD) derived from the ureteric bud (UB). To address this limitation, this study proposes a hypoxia‐based differentiation method that mimics the natural renal developmental environment, enabling the ...
Hyeonji Lim +6 more
wiley +1 more source