نتایج جستجو برای: polyethlene bag individual fruit
تعداد نتایج: 523692 فیلتر نتایج به سال:
the aim followed in the present study was to evaluate the antioxidant activity of individual vs. combined extracts of rosemary leaves and oak fruit to detect the possible interactions in their antioxidant activity following combination and in order to find a way to use oak fruit natural antioxidants as an available massive source in iran. towards this end, methanolic extracts of rosemary and oa...
A three-dimensional model of radiative transfer and leaf gas exchange was used to quantify daily carbon (C) assimilation of all fruit-bearing shoots (FBS) in an early maturing 6-year-old peach tree (Prunus persica L. Batsch) with a heavy crop load. For a sample of FBS (n=36), growth of fruit and leafy shoots was measured every 1-2 weeks from 24 days after bloom (DAB) until harvest, between 93-1...
BACKGROUND AND AIMS Fruit set in indeterminate plant species largely depends on the balance between source and sink strength. Plants of these species show fluctuations in fruit set during the growing season. It was tested whether differences in fruit sink strength among the cultivars explained the differences in fruit-set patterns. METHODS Capsicum was chosen as a model plant. Six cultivars w...
OBJECTIVE We compared the conventional 'one-bag protocol' of management of diabetic ketoacidosis (DKA) with the 'two-bag protocol' which utilizes two bags of fluids, one containing saline and supplemental electrolytes and the other containing the same solution with the addition of 10% dextrose. RESEARCH DESIGN AND METHODS A retrospective chart review and analysis was done on adult patients ad...
Learning from Label Proportions (LLP) is a learning setting, where the training data is provided in groups, or “bags”, and only the proportion of each class in each bag is known. The task is to learn a model to predict the class labels of the individual instances. LLP has broad applications in political science, marketing, healthcare, and computer vision. This work answers the fundamental quest...
BAG-1 is a ubiquitin domain protein that links the molecular chaperones Hsc70 and Hsp70 to the proteasome. During proteasomal sorting BAG-1 can cooperate with another co-chaperone, the carboxyl terminus of Hsc70-interacting protein CHIP. CHIP was recently identified as a Hsp70- and Hsp90-associated ubiquitin ligase that labels chaperone-presented proteins with the degradation marker ubiquitin. ...
Current consumer trends require food products with „healthy image“. This has led to an increased interest in traditional fruit cultivars and related products. Traditional apple cultivars in Bosnia and Herzegovina are a valuable source of desirable genetic characteristics including important pomological, nutritional and technological characteristics of the fruit. The sugar and organic acid profi...
In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connecting predictions for individual instances to a bag-level probability estimate by simple averaging and maximizing the likelihood at the bag level—in other words, by assuming that all instances contribute equally and independentl...
In multiple-instance (MI) classification, each input object or event is represented by a set of instances, named a bag, and it is the bag that carries a label. MI learning is used in different applications where data is formed in terms of such bags and where individual instances in a bag do not have a label. We review MI classification from the point of view of label information carried in the ...
Multiple Instance Learning (MIL) is proposed as a variation of supervised learning for problems with incomplete knowledge about labels of training examples. In supervised learning, every training instance is assigned with a discrete or real-valued label. In comparison, in MIL the labels are only assigned to bags of instances. In the binary case, a bag is labeled positive if at least one instanc...
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