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 +2 more
wiley +1 more source
Sustainable Pb (II) Removal via Pine-Bark Biochar Valorization: Removal Mechanisms and Response-Surface Modeling. [PDF]
Im EC, Lee JI, Park SJ, Lee CG.
europepmc +1 more source
Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang +14 more
wiley +1 more source
Distribution Patterns and Intraspecific Spatial Associations of Different Size Classes in <i>Krascheninnikovia ceratoides</i> (L.) Gueldenst. Populations Within the Tibetan Antelope Breeding Grounds of the West Kunlun Mountains. [PDF]
Chen M +5 more
europepmc +1 more source
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
wiley +1 more source
Taxonomic assessment of <i>Zhangixalus puerensis</i> (He, 1999) sensu lato (Anura, Rhacophoridae), with description of two cryptic species. [PDF]
Liu S +12 more
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Datasets on factors influencing career planning among Chinese university students based on the theory of planned behavior. [PDF]
Sun Q, Liu X, Wang M, Yang H.
europepmc +1 more source
A new framework for forestry planning
Le but de l’article est de présenter et de commenter les développements récents qui ont influencé la gestion forestière et l’aménagement des forêts. Les notions “gestion durable” et “multifonctionnalité” ont apporté des dimensions nouvelles à la réflexion forestière.
openaire +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source

