Results 171 to 180 of about 858,413 (284)

Identification of the Phenicol Efflux Gene <i>fexB</i> and Its Co-Occurrence With the Oxazolidinone/Phenicol Resistance Gene <i>optrA</i> in Avian <i>Campylobacter jejuni</i> Isolates From Tunisia. [PDF]

Int J Microbiol
Gharbi M, Hamdi C, Abbas MAS, Hamrouni S, Maaroufi A.   +4 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Merging Remote Sensing Derived River Slope Datasets with High-Resolution Hydrofabrics for the United States. [PDF]

Sci Data
Chen Y, Cohen S, Baruah A, Devi D, Dhital S, Tian D, Munasinghe D.   +6 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Humanity's urgent challenges need solutions from systems microbiology. [PDF]

mSystems
Shade A.
europepmc   +1 more source

Spleen‐Targeting Biomimetic Hybrid Nanocarriers for Systemic Immune Reprogramming in Colitis: RBC Membrane Vesicle‐Fused Lipid Nanoparticles

Advanced Functional Materials, EarlyView.
A spleen‐targeting hybrid nanoplatform (RBCMV‐LNP‐RP) harnessing erythrophagocytosis mimics senescent red blood cell clearance to achieve spleen‐specific delivery of rapamycin. This biomimetic system enables selective accumulation in splenic macrophages, orchestrating systemic immune reprogramming and promoting mucosal healing in an inflammatory bowel ...
Jun Kwon, Hee Su Sohn, Jong Sang Yoon, So Won Jeon, Hee Gyeong Ko, Min‐Ho Kang, Jisun Lee, Jae‐Hwan Nam, Louis T. Merriam, Edy Y. Kim, Han Young Kim   +10 more
wiley   +1 more source

Mission and money: A scoping review of social enterprise business models as a solution to sustaining health-promoting food and nutrition-based initiatives. [PDF]

BMC Public Health
Fathi LI, Walker J, Dix C, Previte J, Olgacher D, Woodside J, Truby H.   +6 more
europepmc   +1 more source

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Advanced Functional Materials, EarlyView.
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao, Abhisek Dwivedy, Payton L. Haak, Dhanush Gandavadi, Laurie A. Rund, Chi Chen, Vineetha Mareddy, Lifeng Zhou, Jinwei Duan, Ying Fang, Andrew J. Steelman, Xing Wang   +11 more
wiley   +1 more source

Evaluating others' well-being: Survey experiment on fictional Japanese celebrities generated from wikipedia articles and ChatGPT. [PDF]

PLoS One
Saito T, Ishibashi A, Lyu Z, Xie Z, Yasuda S, Takikawa H.   +5 more
europepmc   +1 more source