Results 121 to 130 of about 275,010 (266)

Microsphere‐Templated Conductive Syntactic Foams for Recyclable and Additively Manufactured Soft Electronics

Advanced Healthcare Materials, EarlyView.
This work introduces a microsphere‐templated strategy to fabricate reprocessable PEDOT:PSS syntactic foams with tunable porosity, stable conductivity, and 3D printability. In situ PEDOT:PSS coatings create a conductive network that maintains electrical performance at high void fractions.
Gayaneh Petrossian, Yassine Diouri, Bolan Xu, Sara Ebrahimi, Atharva Pande, Floriane Miquet‐Westphal, Hang Xu, Fabio Cicoira   +7 more
wiley   +1 more source

Specialized Feeding Behavior of an Endangered Primate Enhances Forest Health in China. [PDF]

Ecol Evol
Li N, Wang HH, Li YP, Grueter CC, Xu HM, Huang ZP, Xiao W.   +6 more
europepmc   +1 more source

Affinity‐Tuned Albumin Hitchhiking Extends the Bioorthogonal Capture Window in Pretargeting Radiotheranostics

Advanced Healthcare Materials, EarlyView.
Pharmacokinetic engineering of clickable radioligands was achieved via albumin hitchhiking approach within a pretargeted radiotheranostics delivery platform. This approach reduced rapid renal elimination, expanded bioorthogonal capture window, boosted tumor uptake by ∼3.5‐fold, and improved the tumor‐to‐liver ratio by ∼6‐fold.
Xie He, Nicholas L. Fletcher, Gayathri R. Ediriweera, Yifei Zhu, James Humphries, Christopher B. Howard, Jiazheng Wang, Craig A. Bell, Kristian Kempe, Kristofer J. Thurecht   +9 more
wiley   +1 more source

Perturbations in Dairy Cows: Impact of Heat Stress, Lameness, and Mastitis on Milk Yield and Feeding Behavior. [PDF]

Animals (Basel)
Cabbia A, Braidot M, Florit E, Corazzin M, Romanzin A.   +4 more
europepmc   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Behavioral Controls of the Feeding Behavior

Journal of Japanese Society for Mastication Science and Health Promotion, 2003
SAKO, Noritaka, SUGIMURA, Tadataka, YAMAMOTO, Takashi   +2 more
openaire   +1 more source

The circadian clock gene CYCLE as a potential target for disrupting blood-feeding behavior in the mosquito Culex pipiens. [PDF]

PLoS Negl Trop Dis
Wijewardana C, Chen Y, Jiang C, Zhou Y, Guo Y, Zhang D, Chen L, Hou M, Xu Z, Hu Y, Ji M, Chen L.   +11 more
europepmc   +1 more source

Gardiquimod Nanoemulsion Targets Cutaneous Leishmaniasis Lesions Reducing Systemic Toxicity and Parasite Burden

Advanced Healthcare Materials, EarlyView.
Nanoemulsion delivery of a TLR7 agonist enhances safety and promotes colocalization with Leishmania‐infected macrophages in skin lesions, enabling a ∼2‐log reduction in parasite burden. However, tissue‐level constraints and TLR‐driven regulatory feedback generate a mixed immune response that limits complete parasite clearance.
Carmen Palomino‐Cano, M. Carmen Mera‐Delgado, Esther Moreno, Esther Larrea, Lecnia Aguirre, Jonathan Miguel Zanatta, Sónia Barros‐Carvalho, Iola F. Duarte, Ricardo Silvestre, Juan M. Irache, Javier Carrión, Socorro Espuelas   +11 more
wiley   +1 more source

Unraveling quantitative trait loci (QTL) overlapping epigenomic regulatory regions associated with feeding behavior in pigs. [PDF]

Front Genet
Gervásio IC, Brito LF, Araujo AC, Fanalli SL, Silva-Vignato B, Rocha AO, Benfica LF, Fernanda de Oliveira L, Felício Ament AM, Monteiro Moreira GC, Moncau-Gadbem CT, Mello Cesar AS.   +11 more
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source