Results 111 to 120 of about 390,113 (287)
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 +1 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Multiple-Feature Extracting Modules Based Leak Mining System Design
Over the years, human dependence on the Internet has increased dramatically. A large amount of information is placed on the Internet and retrieved from it daily, which makes web security in terms of online information a major concern.
Ying-Chiang Cho, Jen-Yi Pan
doaj +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
ABSTRACT The rare X‐linked female‐restricted Hardikar syndrome (HDKR, OMIM # 301068) is characterized by multiple congenital anomalies including orofacial clefts, gastrointestinal, genitourinary, and cardiac anomalies, but cognitive and neurobehavioral development is rarely impaired.
Tinne Warmoeskerken +4 more
wiley +1 more source
ABSTRACT This study investigates the rheological behavior of industrial phosphoric acids (H3PO4) produced at the JORF–LASFAR phosphoric plant in Morocco, with P2O5 concentrations of 18%, 29%, 42%, and 54%. Rheological measurements were performed using a rotary cylinder rheometer over a shear rate range of 1–1000 s−1.
Hamza Belbsir +6 more
wiley +1 more source
Abstract Tyrannosaurus is viewed as a model organism in vertebrate paleontology, with numerous studies analyzing its feeding biomechanics. Nonetheless, the evolution of this feeding performance has been under‐addressed in Tyrannosauroidea, especially in basal tyrannosauroids. Here we used muscle‐force reconstruction and finite element analysis (FEA) to
Evan Johnson‐Ransom +4 more
wiley +1 more source
Mapping the Terrain: A Systematic Review of Drama Research Using Data Mining
Drama is a mode of storytelling that has transcended from traditional to online media. This study aimed to determine salient topics and trends in drama research through data mining of peer-reviewed English articles in Web of Science and Scopus.
Aurora S. Llige +1 more
doaj +1 more source

