Results 121 to 130 of about 980,436 (340)

Epidemic monitoring in real-time based on dynamic grid search and Monte Carlo numerical simulation algorithm. [PDF]

PeerJ Comput Sci, 2023
Chen X, Ning H, Guo L, Diao D, Zhou X, Zhang X.   +5 more
europepmc   +1 more source

Seismic moment tensor catalog for crustal earthquakes in the Cook Inlet and Susitna region of southern Alaska [PDF]

, 2018
We determine moment tensor solutions for 53 earthquakes in southern Alaska, which include 9 in Beluga, 22 in Cook Inlet, and 22 in Susitna. The moment tensors were estimated using both the waveforms and the first-motion polarities.
Silwal, Vipul
core  

Quantum Search on the Spatial Grid

, 2013
This paper explores Quantum Search on the two dimensional spatial grid. Recent exploration into the topic has devised a solution that runs in O(sqrt(n*ln(n))). This paper explores a new algorithm that gives promise for the O(sqrt(n)) result that is the lower bound off of the grid.
openaire   +2 more sources

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

Prediksi Kanker Paru menggunakan Grid search untuk Optimasi Hyperparameter pada Algoritma MLP dan Logistic Regression

Jurnal Elkomika
ABSTRAK Kanker paru merupakan penyebab utama kematian akibat kanker di seluruh dunia. Prediksi dini kanker paru-paru telah banyak dilakukan, baik berbasis citra maupun data mentah.
NOR KUMALASARI CAECAR PRATIWI, NUR IBRAHIM, SOFIA SAIDAH   +2 more
doaj   +1 more source

Engineering Extracellular Vesicle Production Through Magnetic Ion Channel Activation for Bone Regeneration

Advanced Healthcare Materials, EarlyView.
Magnetic Ion Channel Activation (MICA) enables remote stimulation of mechanosensitive ion channels using functionalised magnetic nanoparticles, enhancing extracellular vesicle (EV) biogenesis is pre‐osteoblasts. MICA desrived EVs exhibit typical nano‐vesicular characteristics but display superior pro‐osteogeneic activity, promoting mesenchymal stem ...
Afeesh Rajan Unnithan, Kenny Man, Kritika, Lee A. Gethings, Christopher J. Hughes, Alicia Keenan, Liam Heaney, Sophie C. Cox, Owen G. Davies, Alicia J. El Haj   +9 more
wiley   +1 more source

PERFORMANCE EVALUATION OF THE INDF.JK STOCK PRICE MOVEMENT PREDICTION MODEL USING RANDOM FOREST METHOD WITH GRID SEARCH CROSS VALIDATION OPTIMIZATION

Barekeng
Investment in financial instruments in Indonesia has shown significant growth over time, with stocks often being the first choice for investors to invest money. Unfortunately, deciding to buy and sell stocks is not easy.
Della Zaria, Evy Sulistianingsih, Shantika Martha, Wirda Andani   +3 more
doaj   +1 more source

A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach. [PDF]

Genes (Basel), 2023
Halder RK, Uddin MN, Uddin MA, Aryal S, Islam MA, Hossain F, Jahan N, Khraisat A, Alazab A.   +8 more
europepmc   +1 more source

Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies

Advanced Healthcare Materials, EarlyView.
Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer, Dolores J. Salander, Witold Szymanski, Johannes Graumann, Yukai Wang, Kai Zhao, Jörg W. Bartsch, María Gómez‐Serrano, Daniel Bachurski, Silke Reinartz, Elke von Pogge von Strandmann   +10 more
wiley   +1 more source

Integrating SVR Optimization and Machine Learning-Based Feature Importance for TBM Penetration Rate Prediction

Applied Sciences
In this study, a Support Vector Regression (SVR) model was developed to predict the rate of penetration (ROP) during tunnel excavation, and its hyperparameters were optimized using Grid Search (GS), Random Search (RS), and Bayesian Optimization (BO). The
Halil Karahan, Devrim Alkaya
doaj   +1 more source