Results 121 to 130 of about 784,032 (267)

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Adaptive Control of Run‐and‐Tumble Escape in Pursuit‐Evasion Dynamics of Intelligent Active Particles

Advanced Intelligent Systems, EarlyView.
The pursuit‐evasion game is studied for two adversarial active agents, modeled as deterministic self‐steering pursuer and stochastic, cognitive evader. For a successful evasion strategy, the motile target has to exploit all available pursuer information, e.g., by tuning the tumbling frequency with the pursuer distance.
Segun Goh, Dennis Haustein, Gerhard Gompper   +2 more
wiley   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

Advanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova, Alexandra Parichenko, Shirong Huang, Santiago Melia, Gianaurelio Cuniberti   +4 more
wiley   +1 more source

Associations of reproductive breast cancer risk factors with expression of stem cell markers in benign breast tissue

Frontiers in Oncology
BackgroundWe investigated the associations of reproductive factors known to influence breast cancer risk with the expression of breast stem cell markers CD44, CD24, and ALDH1A1 in benign breast biopsy samples.MethodsWe included 439 cancer-free women with
Lusine Yaghjyan, Yujing J. Heng, Gabrielle M. Baker, Vanessa C. Bret-Mounet, Divya Murthy, Matt B. Mahoney, Bernard Rosner, Rulla M. Tamimi   +7 more
doaj   +1 more source

Confessions of a Poverty Researcher: My Journey Through the Foothills of Scholarship

Australian Journal of Social Issues, EarlyView.
ABSTRACT This paper describes the key events, experiences and ideas that influenced the author's career as a poverty researcher. He describes how his early disillusion with economics was replaced by a spark of interest in social issues and how his migration from the UK to Australia in the mid‐1970s provided the impetus to begin what became a lifetime ...
Peter Saunders
wiley   +1 more source

Injectable Bone Cements: A Generational Framework for Bioactivity, Porosity, and Mechanobiological Design at the Nanoscale

Advanced NanoBiomed Research, EarlyView.
Key demographic, biological, and material considerations that drive the need for advanced injectable bone cement technologies. Injectable bone cements (IBCs) are widely used in orthopaedic and craniofacial applications due to their minimally invasive delivery and ability to provide early mechanical stabilisation.
Frank Fei, Yogambha Ramaswamy, Young Jung No   +2 more
wiley   +1 more source

Democracy, parity and change. An institutional space for gender relations

Civilizar, 2013
In this article, I examine how gender parity is a viable mechanism to protect the capacity of transformation that characterizes democracy. Fundamentally, I contend that a democratic system needs to provide arenas of deliberation in order to contest ...
Felipe Jaramillo Ruiz
doaj  

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source