Results 91 to 100 of about 25,939 (216)

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Light‐Controlled Modulation of 15‐Lipoxygenase‐1 Regulates Intestinal Inflammatory Signaling

Angewandte Chemie, EarlyView.
The developed target‐guided strategy enables the rational design of diazo‐based photoswitchable inhibitors of 15‐lipoxygenase‐1. Distinct molecular architectures program opposite light‐dependent activity, allowing on‐demand control of enzyme inhibition.
Anastasia Louka, Eirini‐Eleni Kalaitzaki, Athanasios Panousis, Sotirios Bonoras, Charalampos Livas, George Froudakis, Ioannis Drygiannakis, Athina Damianaki, George Kolios, Vassilis Valatas, Nikolaos Eleftheriadis   +10 more
wiley   +2 more sources

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

Non‐Dilute Synthesis of Macrodiolides and Macrotetrolides Enabled by Confinement Catalysis

Angewandte Chemie, EarlyView.
Confinement catalysis within a hexameric resorcin[4]arene capsule enables macrolactonization under non‐dilute conditions (up to 0.1 M), overcoming the limitations of high‐dilution protocols (0.1–10 mM). This strategy provides direct access to 18–32‐membered macrodiolides and 26–32‐membered macrotetrolides in one pot and unlocks previously inaccessible ...
Feng‐Yuan Wang, Alessandro Prescimone, Daniel Häussinger, Konrad Tiefenbacher   +3 more
wiley   +2 more sources

A Critical Investigation of Knowledge Management as a Determinant of New Product Development Success

This thesis investigates the relationship between Knowledge Management Activities (KMAs), New Product Development drivers (NPDd), and New Product Development (NPD) process success in organisations that rely on new products for competitive survival ...
MacVaugh, Jason
core  

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Reconceptualising knowledge seeking in knowledge management: towards a knowledge seeking process model

Promoting knowledge sharing has long been regarded as a very important aspect of the management of knowledge. However, knowledge sharing has its challenges due to the special nature of knowledge.
Lai, Han
core  

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Using photovoice to understand community perceptions of firearm risks and protective factors among Asian Americans

American Journal of Community Psychology, EarlyView.
Abstract This study used photovoice methodology to explore Asian Americans' perspectives on the root causes and protective factors of firearm violence in their communities. Photovoice provided a participatory platform for community members to document lived experiences and identify priorities for change.
Tsu‐Yin Wu, Szu‐Hsien Chen, Xining Yang, Ken Resnicow, Hsing‐Fang Hsieh   +4 more
wiley   +1 more source