Results 31 to 40 of about 2,795,666 (307)

Restriction fragment length polymorphism in Oryza sativa L.

open access: yes, 1989
Seventy varieties of rice, representing the breadth of the species Oryza sativa, were assayed with 10 rice restriction fragment length polymorphism markers.
Z. Y. Wang, S. D. Tanksley
core   +1 more source

Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots

open access: yesAdvanced Functional Materials, EarlyView.
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz   +11 more
wiley   +1 more source

Restriction fragment length polymorphism analysis for GM6 markers.

open access: yes, 2013
Restriction fragment length polymorphism analysis for GM6 markers.
Renu B. Lal (217588)   +15 more
core   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

open access: yesAdvanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

IDENTIFICATION OF GRAM-NEGATIVE BACTERIA OF FISH BY THE METHOD OF PCR-RFLP OF 16S rDNA GENE

open access: yesRibogospodarsʹka Nauka Ukraïni, 2013
The complex method of polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) targeting to the 16S rDNA gene was developed for identification of the most widespread gram-negative bacterias of fish. The specificity and efficiency
Yu. Rud
doaj   +1 more source

RESTRICTION FRAGMENT LENGTH POLYMORPHISM IN CARROT

open access: yesHortScience, 1993
Studies of genetic variation at the DNA level in the genus Daucus have been very limited. Recently, molecular markers based on restriction fragment length polymorphism (RFLP) have been shown to be highly useful and efficient gene markers in other plant and animal species.
Vivek Sampath, Philipp Simon
openaire   +1 more source

16S rRNA terminal restriction fragment length polymorphism for the characterization of the nasopharyngeal microbiota [PDF]

open access: yes, 2012
A novel non-culture based 16S rRNA Terminal Restriction Fragment Length Polymorphism (T-RFLP) method using the restriction enzymes Tsp509I and Hpy166II was developed for the characterization of the nasopharyngeal microbiota and validated using recently ...
Frei, Laurence   +17 more
core   +2 more sources

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj   +23 more
wiley   +1 more source

Restriction fragment length polymorphism among Israeli Holstein‐Friesian dairy bulls*

open access: yes, 1986
Israeli Holstein-Friesian dairy bulls were screened for restriction fragment length polymorphisms by hybridizing cloned DNA probes for bovine growth hormone, for chymosin, and for rat muscle beta-actin to restriction endonuclease-digested DNA immobilized
Soller, M.   +9 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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