Reprint
Feature Papers in Applied Biosciences 2023
Edited by
August 2024
178 pages
- ISBN978-3-7258-1751-1 (Hardback)
- ISBN978-3-7258-1752-8 (PDF)
This is a Reprint of the Special Issue Feature Papers in Applied Biosciences 2023 that was published in
Biology & Life Sciences
Summary
Many advances in the technologies that underpin biosciences have accelerated the potential for the application of novel approaches to the major challenges of human health and wellbeing. It is important that those developing these technologies connect with those looking to apply them to deliver new solutions. This Special Issue of Applied Biosciences includes contributions focused on diverse applications of biological research and technology.
Format
- Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
Crossiella; biofilms; caves; moonmilk; biomineralization; rhizosphere; soils; bioactive compounds; caffeic acid; biopesticides; Cydia pomonella Granulovirus; Bacillus thuringiensis subsp. tenebrionis; Beauveria bassiana; interactions; stored pests; direct seeding; Australian native seed; seed-based restoration; seed dormancy; seed ecology; seed pre-treatments; renewable energy; bioeconomy; biowaste; residuals; silage; liquid–solid separation; microbial communities; soil microbiota; fertilization; poultry litter; Shannon diversity; Simpson diversity; principal component analysis; canonical correspondence analysis; cover cropping; living mulch; microbial functional diversity; catabolic diversity; partial hybrids; interspecific hybrids; unreduced gametes; reproductive abnormalities; plant breeding; diagnostic for bacterial infection; long-read sequencing; human microbiome; nanopore Flongle; native DNA; antimicrobial resistance; taxonomic classification; thinning; fruit weight; total soluble solids; firmness; fruit shape; biennial bearing; hand thinning; crop load management; molecular chaperones; Hsp90; chaperone system; salivary gland tumors; carcinoma; diagnosis; prognosis; Hsp90 inhibition; salivary gland cancer treatment; artificial intelligence; clinical practice; machine learning; neural networks; clinical decision; personalized medicine