Results 121 to 130 of about 6,293,684 (257)

AI‐Driven Rational Design of Nanotherapeutics for Pancreatic Ductal Adenocarcinoma

Medicinal Research Reviews, EarlyView.
ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains a formidable malignancy characterized by late diagnosis, high recurrence rates, and pronounced chemoresistance. While nanoparticle‐based drug delivery systems (NDDS) offer theoretical advantages over conventional therapies, their clinical translation in PDAC has been severely limited.
Seohyun Choo, Kaeun Chae, Jueun Lee, Inseon Kim, Seunghun S. Lee   +4 more
wiley   +1 more source

Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

Materials Genome Engineering Advances, EarlyView.
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang, Biao Chen, Ruihao Yuan, Yi Williams Wang, Jun Wang, Jinshan Li   +5 more
wiley   +1 more source

Implementing Multi-Phase Space-Vector Modulation [PDF]

, 2019
Recently there has been growing interest in multi-phase motors and drives due to their potential advantages including lower torque ripple and harmonic currents, better power density, higher reliability and stability.
Hu, Chencheng
core   +1 more source

Development and Application of Comprehensive Simulation Models for Current-Source Inverter Modulators

Applied Sciences
This paper provides an overview of existing theories on various modulation strategies for current-source inverters (CSI), particularly focusing on space vector modulation (SVM).
Gurhan Ertasgin, Erol Nikocevic
doaj   +1 more source

Molecular, spatial, and AI‐enabled technologies for predicting neoadjuvant therapy response in locally advanced rectal cancer

The Journal of Pathology, EarlyView.
Abstract Pretreatment prediction of neoadjuvant response remains an unresolved challenge in locally advanced rectal cancer, where management is moving towards risk‐adapted and response‐oriented treatment strategies. Prediction remains difficult because response reflects interacting tumour‐intrinsic, immune, stromal, and spatial processes that are ...
Gina F Boot, Cibele Masotti, Claudia Corrò, Cédric Schraepen, Hannah L Williams, Thomas A Wright, Fiza Ishaqwala, Colin W Steele, Gertjan Rasschaert, Maxime W Lafarge, Enric Domingo, Inti Zlobec, Rodrigo Oliva Perez, Campbell SD Roxburgh, Timothy S Maughan, Sabine Tejpar, Thibaud Koessler, Viktor H Koelzer   +17 more
wiley   +1 more source

Conjugated Polymers Engineered for Flexible/Stretchable Electronics

Journal of Polymer Science, EarlyView.
This review highlights glass transition temperature (Tg) as the central parameter linking molecular structure to device performance in conjugated polymers. By tuning backbone rigidity, side‐chain architecture, and dynamic bonding, Tg governs the balance between π–π stacking–enabled charge transport and mechanical compliance.
Yunchong Yang, Josh Bass, Weijia Yan, Ashwath Anand, Chunka Zhou, Jingjing Qiu   +5 more
wiley   +1 more source

Three phase space vector modulation voltage source inverter using PV solar / Siti Norhafida Norhalim

, 2013
One of the best choice techniques of modulation to drive 3 phase load is space vector modulation (SVM). Since then, the study on three phase space vector modulation voltage source inverter has been implemented.
Norhalim, Siti Norhafida
core  

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Benchmarking least squares support vector machine classifiers. [PDF]

In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan, Vandewalle, Joos, De Moor, Bart, Van Gestel, Tony, Vanthienen, Jan, Baesens, Bart, Dedene, Guido, Viaene, Stijn   +7 more
core  

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

Pest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi, Samantha Hall, Maria Hernandez, Anil Mantri, Daniel Kliebenstein, Christian Nansen   +5 more
wiley   +1 more source