We propose a simple variant of kd-trees, called rankbased kd-trees, for sets of points in R. We show that a rank-based kd-tree, like an ordinary kd-tree, supports range search queries in O(n1−1/d + k) time, where k is the output size. The main advantage of rank-based kd-trees is that they can be efficiently kinetized: the KDS processes O(n) events in the worst case, assuming that the points fol...

mycobacterium tuberculosis (h37rv strain) was used in this study. the bacterial cells were disintegrated by sonication. the separation and characterization of the soluble molecules were attempted by various techniques including gel filtration, ion exchange chromatographies and polyacrylamide gel electrophoresis, using sds and 2me. eight protein molecules with molecular weights ranging from 6.3 ...

Mycobacterium tuberculosis (H37Rv strain) was used in this study. The bacterial cells were disintegrated by sonication. The separation and characterization of the soluble molecules were attempted by various techniques including gel filtration, ion exchange chromatographies and polyacrylamide gel electrophoresis, using SDS and 2ME. Eight protein molecules with molecular weights ranging from...

Land use change and karst desertification (KD) are interdependent. It is crucial to investigate the relationship between KD landscape spatial–temporal changes in land for effective sustainable management practices plateau mountains. In this study, we analyzed spatial temporal characteristics, evolution pattern of use, Salaxi study area from 2009 2019, using index trajectories, discussed their r...

As a promising distributed machine learning paradigm, federated (FL) trains central model with decentralized data without compromising user privacy, which makes it widely used by Artificial Intelligence Internet of Things (AIoT) applications. However, the traditional FL suffers from inaccuracy, since local models only using hard labels while useful information incorrect predictions small probab...

AbstractIntroduction and purpose: Ketogenic diet (KD) is a form of nutrition based on usage ketone bodies, received from transformation consumed fats as main source energy. Advantages this type metabolism are used in treatment various diseases. Our purpose to sum up present what we know about its usage, therapeutic tool, so far.Description the state knowledge: The use instead glucose, energy mo...

Facial landmark detection is a vital step for numerous facial image analysis applications. Although some deep learning-based methods have achieved good performances in this task, they are often not suitable running on mobile devices. Such rely networks with many parameters, which makes the training and inference time-consuming. Training lightweight neural such as MobileNets challenging, models ...

In this paper, we propose the utilization of a kd-tree based hierarchy as an implicit object representation. Compared to an octree, the kd-tree based hierarchy is superior in terms of adaptation to the object surface. In consequence, we obtain considerably more compact implicit representations especially in case of thin object structures. We describe a new isosurface extraction algorithm for th...