Results 101 to 110 of about 851,247 (240)

Foggy Drone Teacher: Domain Adaptive Drone Detection Under Foggy Conditions

Drones
With the growing use of drones, efficient detection algorithms are crucial, especially under adverse weather conditions. Most existing drone detection algorithms perform well only in clear weather, resulting in significant performance drops in foggy ...
Guida Zheng, Benying Tan, Jingxin Wu, Xiao Qin, Yujie Li, Shuxue Ding   +5 more
doaj   +1 more source

AI (Artificial Intelligence) and Hypertension Research. [PDF]

Curr Hypertens Rep, 2020
Mueller FB.
europepmc   +1 more source

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

Advancing Sequential Manga Colorization for AR Through Data Synthesis

IEEE Access
Manga colorization in augmented reality (AR) environments presents unique challenges, particularly when colorizing manga pages captured in photos under various real-world conditions.
Maksim Golyadkin, Sergey Saraev, Ilya Makarov   +2 more
doaj   +1 more source

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

Molecule generation for drug design: A graph learning perspective

Fundamental Research
Machine learning, particularly graph learning, is gaining increasing recognition for its transformative impact across various fields. One such promising application is in the realm of molecule design and discovery, notably within the pharmaceutical ...
Nianzu Yang, Huaijin Wu, Kaipeng Zeng, Yang Li, Siyuan Bao, Junchi Yan   +5 more
doaj   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

Advanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang, Jingguo Qu, Tonghuan Xiao, Xinyang Han, Michael Tin‐Cheung Ying   +4 more
wiley   +1 more source

Robust resonant anomaly detection with NPLM

European Physical Journal C: Particles and Fields
In this study, we investigate the application of the New Physics Learning Machine (NPLM) algorithm as an alternative to the standard CWoLa method with Boosted Decision Trees (BDTs), particularly for scenarios with rare signal events.
Gaia Grosso, Debajyoti Sengupta, Tobias Golling, Philip Harris   +3 more
doaj   +1 more source

Computational approaches for drug–drug interaction prediction: a systematic review of data sources, modeling strategies, and evaluation frameworks

Frontiers in Pharmacology
IntroductionDrug-drug interactions (DDIs) are a major cause of preventable harm in polypharmacy and remain difficult to anticipate as formularies, indication profiles, and interaction labels evolve. Over the last few years, the DDI modeling landscape has
Qadeer Hashir, Muhammad Asfand E Yar, Asad Ullah, Shahid Kamal, Fasee Ullah, Zul Hilmi Abdullah   +5 more
doaj   +1 more source