Results 221 to 230 of about 84,005 (291)
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley +1 more source
Correction: A comprehensive analysis of the prognostic characteristics of microRNAs in breast cancer. [PDF]
Wang L +5 more
europepmc +1 more source
SecAgent: Efficient Mobile GUI Agent with Semantic Context
Yiping Xie +9 more
openalex +1 more source
Search based GUI Test Generation in Java - Comparing Code-based and EFG-based Optimization Goals
Mathias Menninghaus +3 more
openalex +1 more source
FDI and Performance: A Comparative Analysis Between Emerging and Developed Economies
ABSTRACT This study investigates the nuanced relationship between foreign direct investment (FDI) and firm performance, addressing the heterogeneity of FDI's impact across countries with different levels of development. While FDI is widely recognized as a catalyst for economic growth, technology transfer, and enhanced competitiveness, particularly in ...
Cintya Lanchimba, Mamadou Ndione
wiley +1 more source
Interaction Between ALDH2 rs671 Polymorphism, Alcohol Consumption, and Ruptured Intracranial Aneurysm Risk: Clarifications and Future Perspectives-A Response to Letter by Bogahawaththa et al. [PDF]
Gui S, Chen X, Wei D, Li Y.
europepmc +1 more source
Abstract Background Gastrointestinal nematode infections are ubiquitous in grazing livestock worldwide impacting animal health and production. Faecal egg count (FEC) is an accessible diagnostic test that can guide the need for treatment. However, interpretation of FECs can be challenging.
Eilidh Geddes +7 more
wiley +1 more source
Overall survival, conditioning, and MRD in MORPHO. [PDF]
Gui G, Hourigan CS.
europepmc +1 more source
MDC_cut: A Python-based GUI software for comprehensive ARPES data analysis
Chih-Keng Hung, Yi-Ying Lu
openalex +1 more source
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source

