Results 131 to 140 of about 60,646 (293)
Permeability of Apricot Leaf Cuticle [PDF]
W. A. Darlington, N. Cirulis
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Iowa Liquor Quarterly, August 2003 [PDF]
Quarterly publication produced by Iowa Alcholic Beverages Division, Department of ...
core
Rest Intensity of Dormant Peach and Apricot Leaf Buds as Influenced By Temperature, Cold Hardiness and Respiration1 [PDF]
Anthony H. Hatch, D. R. Walker
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Food-bridging: a new network construction to unveil the principles of cooking
In this manuscript we propose, analyse, and discuss a possible new principle behind traditional cuisine: the Food-bridging hypothesis and its comparison with the food-pairing hypothesis using the same dataset and graphical models employed in the food ...
Diaz-Guilera, Albert+4 more
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DRYING KINETICS OF APRICOTS KERNELS
In this paper, we proposed convective and combined methods for drying wet kernels of apricot stones. Kernels of apricot stones are a very ambiguous food product, during their heat treatment in them occurs not only the loss of mass due to the removal of moisture, but also the loss of mass due to biochemical changes occurring at high temperatures. It was
openaire +3 more sources
Calibrating Large Language Models Using Their Generations Only [PDF]
As large language models (LLMs) are increasingly deployed in user-facing applications, building trust and maintaining safety by accurately quantifying a model's confidence in its prediction becomes even more important. However, finding effective ways to calibrate LLMs - especially when the only interface to the models is their generated text - remains ...
arxiv
Organic substances against Monilia laxa on apricot – in-vitro and on-farm experiments [PDF]
Natural substances against Monilia laxa were onfarm and in-vitro tested. According to on-farm tests, some products reached interesting efficacies.
Christen, Danilo+3 more
core
Collaborative Study on Assay of Sulfur Dioxide in Dried Apricots [PDF]
John E. Brekke
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Fruit Classification System with Deep Learning and Neural Architecture Search [PDF]
The fruit identification process involves analyzing and categorizing different types of fruits based on their visual characteristics. This activity can be achieved using a range of methodologies, encompassing manual examination, conventional computer vision methodologies, and more sophisticated methodologies employing machine learning and deep learning.
arxiv
Effects of a Magnetic Field on the Germination of Apple, Apricot, and Peach Seeds1 [PDF]
Lee Chao, D. R. Walker
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