Results 91 to 100 of about 10,431 (261)

Türkçe İçin Oluşturulmuş Okunabilirlik Formüllerinin Karşılaştırılması ve Tutarlılık Sorgusu

Ana Dili Eğitimi Dergisi
Türkçe için oluşturulmuş okunabilirlik formüllerinin işlevselliğini sorgulamak ve bu formüller arasından uzman görüşleriyle en tutarlı olanını saptamak amacıyla yürütülen bu çalışmada, nitel ve nicel araştırma yöntemlerinin birlikte kullanıldığı karma ...
Rahman Kalyoncu, Muhammet Memiş
doaj   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Readability of Corporate Annual Reports of Top 100 Malaysian Companies

Malaysian Management Journal, 2006
The main purpose of this paper is to compare the readability of two narrative sections in Malaysian corporate annual reports. Further more the authors investigate whether readability of one section reflects the readability of another section.
Rosli Mohamad, Azhar Abdul Rahman
doaj  

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Readability of Hospital Online Patient Education Materials Across Otolaryngology Specialties

Laryngoscope Investigative Otolaryngology
Introduction This study evaluates the readability of online patient education materials (OPEMs) across otolaryngology subspecialties, hospital characteristics, and national otolaryngology organizations, while assessing AI alternatives.
Akshay Warrier, Rohan P. Singh, Afash Haleem, Andrew Lee, David Mothy, Aakash Patel, Jean Anderson Eloy, Brian Manzi   +7 more
doaj   +1 more source

Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration

Journal of Language and Education
Introduction: Readability formulas are crucial for identifying suitable texts for children's reading development. Traditional formulas, however, are linear models designed for alphabetic languages and struggle with numerous predictors.
Zhengye Xu, Yixun Li, Duo Liu
doaj   +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

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source