Results 101 to 110 of about 173,512 (239)

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Performance assessment of hybrid fibrous fillers on the tribological and thermo-mechanical behaviors of elastomer modified phenolic resin friction composite [PDF]

, 2020
Prosenjit Ghosh, Shib Shankar Banerjee, Dipak Khastgir   +2 more
openalex   +1 more source

Hybrid Nanocomposites with Tunable Alignment of the Magnetic Nanorod Filler

, 2013
For many important applications, the performance of polymer-anisotropic particle nanocomposite materials strongly depends on the orientation of the nanoparticles.
Chanéac, Corinne, Constantin, Doru, Davidson, Patrick, Dozov, Ivan, Perineau, Fabien, Rochas, Cyrille, Rosticher, Céline, Rozes, Laurence, Sanchez, Clément   +8 more
core   +2 more sources

Loss of Stat3 in Prx1+ Progenitors Impairs Molar Root Development

Advanced Biology, EarlyView.
Stat3 critically regulates mandibular first molar and alveolar bone morphogenesis. Conditional ablation of Stat3 disrupts the osteogenic capacity of Prx1+ mesenchymal progenitors, as evidenced across in vivo and in vitro models. Abstract Signal Transducer and Activator of Transcription 3 (Stat3) acts as a central transcriptional modulator coordinating ...
Xin Feng, Wangyu Luo, Yichen Yao, Lichieh Lin, Laiting Chan, Jiarui Lu, Zijing Huang, Jingyi Feng, Le Zhao, Xiaolei Zhang, Liu Yang   +10 more
wiley   +1 more source

Experimental investigation of glass-carbon/epoxy hybrid composites subjected to low velocity impact test [PDF]

FME Transactions, 2018
Hybrid composites with multiple reinforcements of high strength are very popular for many engineering applications, especially for impact resistance. In the present work, we report the development of the glasscarbon/ epoxy hybrid composites using hand ...
Venkategowda C., Rajanna S., Udupa N.G.S., Keshavamurthy R.   +3 more
doaj  

Aluminium matrix hybrid composites: a review of reinforcement philosophies; mechanical, corrosion and tribological characteristics

Journal of Materials Research and Technology, 2015
Aluminium hybrid composites are a new generation of metal matrix composites that have the potentials of satisfying the recent demands of advanced engineering applications.
Michael Oluwatosin Bodunrin, Kenneth Kanayo Alaneme, Lesley Heath Chown   +2 more
doaj   +1 more source

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

Advanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia, Nicholas Xuanlai Fang, Mary C. Boyce   +2 more
wiley   +1 more source

Experimental Study on Fracture Toughness of Natural Fibres Reinforced Hybrid Composites [PDF]

, 2018
H. K. Madhusudhana, K Ruhi, R.L. Anand, C.S. Venkatesha   +3 more
openalex   +1 more source

Experimental investigation of the mechanical properties of Al6061-TiB2-fly ash reinforced monolithic and hybrid composites

Materials Research Express
This study investigates the mechanical properties of Al6061-TiB _2 -fly ash reinforced monolithic and hybrid composites, fabricated using the stir casting technique. The experiment involved the preparation of both monolithic composites by varying TiB2 (3–
K Nithesh, Karthik B M, Sathyashankara Sharma, Gajanan Anne, Ananda Hegde   +4 more
doaj   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source