Comparative assessment of apple fruit storability during storage in different modes of the cooled medium

The article presents the research results of the effect of post-harvest treatment with Phytomag preparation of fruits of 21 apple tree varieties of domestic and foreign breeding on their storability and quality. The purpose of the research is to determine the effectiveness of the combined effect of such technological techniques as post-harvest fruit treatment with Phytomag preparation and their storage in conventional (CGD) and regulated (RGD) gas dynamics on the formation of quality and storability of apples grown in the Crimea. The data obtained showed that the treatment of fruits with an ethylene inhibitor Phytomag during storage in conventional and regulated gas dynamics reduces losses, depending on the variety, by 1.5-1.8 times. It is established that the processed fruits retain their original marketable appearance, have high quality components during the entire storage period and after opening the refrigerating chambers, selling the fruits and bringing them to the consumer. It is proved that in the conditions of the Crimea such varieties as Tavria, Krymskoye Zimnee, Krymskoye, Orion, Kimmeria, Brebern, Fuji, Idared, Pink Lady can be successfully stored in a conventional gas dynamic with post-harvest treatment with preparation inhibiting ethylene synthesis. The advantage of storage in regulated gas dynamic was shown by the varieties Aromat Kryma, Predgornoye, Golden Delicious, Crispin, Granny Smith, Glouster, Gala, Jonagold

Finding key points in a hand image using heatmaps

© Published under licence by IOP Publishing Ltd. This paper presents an approach to finding key points in the image of a hand using heat maps. For this, a convolutional model of a neural network and a training method on heatmaps were combined. An open bank of palm photos, supplemented by a set of own images and synthetic data, was used as a dataset. Direct and inverse transformations of two-dimensional coordinates on the plane into heat maps with a 2D Gaussian function centered at coordinate points were applied, data was prepared, the model was trained and tested. As a result of this approach, a neural network model able to recognise real world images was obtained

Features of formation of solidification front of slab of 300 x 1650 mm cross-section in a mould of curvilinear continuous casting machine

22.00; Translated from Russian (Stal' 1985 (4) p. 27-30)SIGLEAvailable from British Library Document Supply Centre- DSC:9022.06(BISI--24069)T / BLDSC - British Library Document Supply CentreGBUnited Kingdo