Which common human actions and interactions are recognizable in monocular still images? Which involve objects and/or other people? How many is a person performing at a time? We address these questions by exploring the actions and interactions that are detectable in the images of the MS COCO dataset. We make two main contributions. First, a list of 140 common ‘visual actions’, obtained by analyz...

this study was conducted to investigate the effects of garlic powder (gp) black seed (bs) and plant premix (gp and bs) in the diet on broiler growth performance and intestinal morphology. included 480 hubbard broiler chicks(day-old). there were 4 treatment groups each consisting of 3 replicates. the four dietary treatments consisted of a control (basal diet), basal diet +0.5% gp, basal diet +0....

We present an any-time performance assessment for benchmarking numerical optimization algorithms in a black-box scenario, applied within the COCO benchmarking platform. The performance assessment is based on runtimes measured in number of objective function evaluations to reach one or several quality indicator target values. We argue that runtime is the only available measure with a generic, me...

We present a budget-free experimental setup and procedure for benchmarking numerical optimization algorithms in a black-box scenario. This procedure can be applied with the COCO benchmarking platform. We describe initialization of and input to the algorithm and touch upon the relevance of termination and restarts.

Whereas the relationship between criticality of gene regulatory networks (GRNs) and dynamics of GRNs at a single cell level has been vigorously studied, the relationship between the criticality of GRNs and properties of multicellular organisms at a higher level has not been fully explored. Here we aim at revealing potential roles of the criticality of GRNs at a multicellular and a hierarchical ...

The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network. However, there still exist a lot of challenging cases, such as occluded keypoints, invisible keypoints and complex background, which cannot be well addressed. In this paper, we present a novel network structure called Cascaded Pyramid Network (CPN) which...

This research was carried out at Research Station , Department of Horticulture and Landscape Engineering College Agricultural Sciences University Baghdad during fall season 2020, it aimed to improve flower productivity, quantity quality essential oils with increasing the concentration N, P K elements in nutrient solution, foliar app `lication Plant growth promoters (PGP) on Rosa Damascene grown...

Tropical peatlands play an important role in the global carbon cycling but little is known about factors regulating carbon dioxide (CO2) and methane (CH4) fluxes from these ecosystems. Here, we test the hypotheses that (i) CO2 and CH4 are produced mainly from surface peat and (ii) that the contribution of subsurface peat to net C emissions is governed by substrate availability. To achieve this,...

Neste trabalho foram determinados Cu, Fe, Mn and Zn em extratos de castanha-do-Pará (Bertholletia excelsa), semente de cupuaçu (Theobroma grandiflorum) e polpa de coco (Cocos nucifera) usando extração sólido-líquido e espectrometria de absorção atômica com atomização eletrotérmica. Foram empregadas diferentes soluções extratoras (mistura de metanol e clorofórmio 1:2 v/v, água, 0,5 mol L-1 NaCl,...

OBJECTIVE To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance. METHODS We preprocessed chief complaints using two preprocessors (CCP and EMT-P) and evaluated whether classification performance increased for a probabilistic classifier (CoCo) or for a keyword-based classifier (modification of the...