Results 101 to 110 of about 372,016 (296)
Specifcities of "Uzicka" sausage produced in traditional way of manufacture
Ekonomika Poljoprivrede (1979), 2010 This paper investigates traditional way of production of "uzicka" sausage manufactured in household Kacer situated at Zlatibor Mountain. Investigated parameters were climatic (relative humidity, temperature and air circulation) during production process
Slavica Vesković Moračanin +6 more
doaj
Advanced Materials, EarlyView.This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş +4 more
wiley +1 more source
Report on a Preliminary Investigation of some Tinned Extracts of Meat for the Presence of Lead [PDF]
, 1896 W. Murrell
openalex +1 more source
Advanced Materials, EarlyView.This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han +6 more
wiley +1 more source
Advanced Materials, EarlyView.We report a 3.2 Å cryoEM structure of functional amyloid protein FapC from Pseudomonas sp. UK4, an essential component of bacterial biofilm, which reveals a Greek key‐shaped protofilament, supports bioinformatically determined motifs, nuances AlphaFold predictions, emphasizes heterogeneous cross‐β stacking in amyloid cross‐seeding and shows strain ...
Yanting Jiang +13 more
wiley +1 more source
The Red Colour of Salted Meat. (One Figure in the Text.) [PDF]
, 1901 J. S. Haldane
openalex +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
wiley +1 more source