Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
An innovative blockchain framework for strengthening security and efficiency in banking. [PDF]
Sci RepAhammad MS, Maliha M, Nila NE, Islam MS.
europepmc +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Application of improved FP-tree algorithm in rural accurate information service. [PDF]
Sci RepJin Y, Zhao J, Li X, Wu J.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
EnCTN: an enhanced AI-enabled deep learning framework for security enhancement in blockchain transactions. [PDF]
Sci RepBhuvaneshwari P +3 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Marketization of data elements drives the cultivation of competitive advantages in export products-Based on an export technology complexity perspective. [PDF]
PLoS OneLin K, Wang X.
europepmc +1 more source
GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version) [PDF]
Zhuang, Qiyu +8 more
openalex +1 more source