Results 271 to 280 of about 147,116 (329)
Robotic milking and milk quality: effects on bacterial counts, somatic cell counts, freezing point and free fatty acids [PDF]
K. de Koning+2 more
openalex +1 more source
The temporary transition of macrophages from a pro‐inflammatory phenotype of macrophages (M1) to an anti‐inflammatory phenotype of macrophages (M2) is crucial for tissue repair and regeneration processes. Bacterial outer membrane vesicles (OMVs) are utilized as a “trojan horse” for specific M1 macrophage‐targeting and anti‐inflammatory drug delivery ...
Donglin Cai+9 more
wiley +1 more source
Comparison of Natural Resistance-Associated Macrophage Protein (NRAMP)1 Expression between Cows with High and Low Milk Somatic Cells Counts [PDF]
Yi Seok Joo+6 more
openalex +1 more source
Ozone‐based gas‐phase metal‐assisted chemical etching enables unprecedented room‐temperature fabrication of high‐quality silicon nanowires. The superior oxidation potential of O3 drives rapid vertical etching (1 µm min−1) while maintaining exceptional structural integrity. The pristine nanowire surfaces enable high‐performance core‐shell photodetectors
Hyein Cho+11 more
wiley +1 more source
A two‐step DNA metallization process is presented for the modular assembly of metal sulfide nanoparticles (NPs) on MoS2, with nanoscale control over their separation and ability to concomitantly assemble different kind of NPs. This allowed to tailor the photoinduced electrical response of phototransistors to different wavelengths, according to the ...
Kai Chen+3 more
wiley +1 more source
Matrix Tropism Influences Endometriotic Cell Attachment Patterns
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault+7 more
wiley +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Association between somatic cell count or morbidity of chronic subclinical mastitis and longevity in dairy herds in Eastern Hokkaido, Japan: a cross-sectional study. [PDF]
Goto A+5 more
europepmc +1 more source
Estimates of Genetic Parameters for Daily Somatic Cell Count of Australian Dairy Cattle
M. Haile‐Mariam+2 more
openalex +1 more source