Results 271 to 280 of about 1,064,738 (368)

Enhancement of Tomato Fruit Quality Through Moderate Water Deficit. [PDF]

open access: yesFoods
He Y   +8 more
europepmc   +1 more source

Comprehensive genetic analysis of poorly differentiated gastric cancer in young females

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Although the involvement of female sex hormones in the development of poorly differentiated gastric cancer in young females is controversial, our detailed analysis using RNA‐seq suggested that the female sex hormone, β‐estradiol plays a role in the development of poorly differentiated gastric cancer in young females. Abstract Aim The reasons behind the
Nobuhiro Nakazawa   +9 more
wiley   +1 more source

Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops. [PDF]

open access: yesPLoS One
Elsayed S   +8 more
europepmc   +1 more source

Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, a new application is proposed for an active whisker sensor that mimics the movement of rat whiskers. The whiskers, which are deformed by contact with an object, provide information about surface properties. It is shown that active whisker sensors can be useful in the food industry, and data identification is performed using deep learning ...
Jieun Park   +13 more
wiley   +1 more source

Effects of Different Postharvest Treatments on Fruit Quality, Sucrose Metabolism, and Antioxidant Capacity of 'Newhall' Navel Oranges During Storage. [PDF]

open access: yesPlants (Basel)
Xiong B   +14 more
europepmc   +1 more source

Machine Learning‐Based Wind Classification by Wing Deformation in Biomimetic Flapping Robots: Biomimetic Flexible Structures Improve Wind Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
Strain gauges are attached to biomimetic flapping wings to investigate how wing strain sensors detect wind directions. A convolutional neural network model for wind direction classification is developed through experiments. The results reveal that wind classification is possible with strain data of only 0.2 flapping cycles, and the use of biomimetic ...
Kenta Kubota, Hiroto Tanaka
wiley   +1 more source

Characterization of a Diverse Okra (Abelmoschus esculentus L. Moench) Germplasm Collection Based on Fruit Quality Traits. [PDF]

open access: yesPlants (Basel)
Yildiz M   +7 more
europepmc   +1 more source

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