$${\text{COSNet}}_i$$: ComplexOme-Structural Network Interpreter used to study spatial enrichment in metazoan ribosomes

Background Upon environmental stimuli, ribosomes are surmised to undergo compositional rearrangements due to abundance changes among proteins assembled into the complex, leading to modulated structural and functional characteristics. Here, we present the ComplexOme-Structural Network Interpreter ($${\text{COSNet}}_i$$ COSNet i ), a computational method to allow testing whether ribosomal proteins (rProteins) that exhibit abundance changes under specific conditions are spatially confined to particular regions within the large ribosomal complex. Results $${\text{COSNet}}_i$$ COSNet i translates experimentally determined structures into graphs, with nodes representing proteins and edges the spatial proximity between them. In its first implementation, $${\text{COSNet}}_i$$ COSNet i considers rProteins and ignores rRNA and other objects. Spatial regions are defined using a random walk with restart methodology, followed by a procedure to obtain a minimum set of regions that cover all proteins in the complex. Structural coherence is achieved by applying weights to the edges reflecting the physical proximity between purportedly contacting proteins. The weighting probabilistically guides the random-walk path trajectory. Parameter tuning during region selection provides the option to tailor the method to specific biological questions by yielding regions of different sizes with minimum overlaps. In addition, other graph community detection algorithms may be used for the $${\text{COSNet}}_i$$ COSNet i workflow, considering that they yield different sized, non-overlapping regions. All tested algorithms result in the same node kernels under equivalent regions. Based on the defined regions, available abundance change information of proteins is mapped onto the graph and subsequently tested for enrichment in any of the defined spatial regions. We applied $${\text{COSNet}}_i$$ COSNet i to the cytosolic ribosome structures of Saccharomyces cerevisiae, Oryctolagus cuniculus, and Triticum aestivum using datasets with available quantitative protein abundance change information. We found that in yeast, substoichiometric rProteins depleted from translating polysomes are significantly constrained to a ribosomal region close to the tRNA entry and exit sites. Conclusions $${\text{COSNet}}_i$$ COSNet i offers a computational method to partition multi-protein complexes into structural regions and a statistical approach to test for spatial enrichments of any given subsets of proteins. $${\text{COSNet}}_i$$ COSNet i is applicable to any multi-protein complex given appropriate structural and abundance-change data. $${\text{COSNet}}_i$$ COSNet i is publicly available as a GitHub repository https://github.com/MSeidelFed/COSNet_i and can be installed using the python installer pip.

Object tracking algorithm for a passive positioning system

We propose an algorithm for small-sized mobile object detection and trajectory parameter estimation for a passive positioning system that consists of several optical, thermal, and radio sensors. The algorithm is based on a combination of spatial and temporal processing of observation data. For spatial processing, a set of equations is solved that defines the sufficient condition for coupling the direction vectors to probable objects in the image stereo pair. Object coordinates and velocities for a single observation period are estimated. For temporal processing, the direction vectors are distributed based on connection to probable objects in a sequence of the capture intervals. The results of numerical modeling of the proposed algorithm show the advantage of combining the two approaches in comparison with the traditional object detection and tracking algorithms.

Multi-Structural Non-Linear Data Fusion Method

In systematic measurement and control mode composed of optics, radar and telemetry, trajectory measurement is in need of high precision. So, based on exterior trajectory parameter expressed by Hermite function, this paper proposes a multi-structure data fusion method with multisource heterogeneous measuring elements, which is called function restraint EMBET method. Based on the fusion simulation calculation and analysis of the same data of multisource heterogeneous measuring elements both using general EMBET method and function restraint EMBET method, it is proved that function restraint EMBET method is sensitive to errors, besides, it have the advantage of strong practicability and high precision.

GPU-Based PSO Application in Multiuser Detection and Trajectory Parameter Estimation

The parallel character of particle swarm algorithm (PSO) and the Graphic Processing Unit (GPU) technology of Compute United Device Architecture (CUDA) from NVIDIA are analyzed. Two methods of the realization of PSO based on GPU are discussed. One method is using the module of open source particle swarm algorithm supporting the GPU, with the application of multiuser detector (MUD). The other method is using the module of MATLAB supporting the GPU with the application of the moving parameter estimation. The test results show that the PSO algorithm based on GPU technology can significantly improve the speed of system capacity, to solve the problem of multi-dimensional global optimization, with the poor real-time performance. It can be widely used in the project of high real-time requirements.

The Antivibration of Deeper Solt Milling System Experiment Research

The cutting vibration is a very harmful phenomenon, which destroys the surface finish and dimensional integrity of workpieces and quickens the wear of cutting tool. The cutting vibration can be suppressed or reduced by applying the variable spindle speed cutting. In order to investigate the effect of variable spindle speed parameters and cutting conditions on suppressing the vibration, the deeper slot milling tests have been conducted. The results have shown that the vibration occurring in deeper slot milling can be reduced by applying the method of variable spindle speed milling, as long as the variable speed parameters are elected suitably. The values of speed variation amplitude Δn/n0 and speed variation frequency fn of spindle speed trajectory parameter have a great effect on antivibration. Under this article test condition, the amplitude Δn/n0 of variable spindle speed is 20% and frequency fn of variable spindle speed is 0.3Hz.

The Trial Research on Suppressing the Chatter by Variable Speed Milling

The vibration occurring in cutting process is a very harmful phenomenon, which destroys the surface finish and dimensional integrity of workpieces and quickens the wear of cutting tool. Cutting chatter can be suppressed or reduced by applying the method of suppressing chatter by variable speed cutting. In order to investigate the effect of variable speed parameters and cutting conditions on suppressing the chatter in face milling, the tests have been conducted.The results have shown that cutting with variable spindle speed cutting in face milling will suppress the development of chatter. If chatter occurs in cutting process, the vibration amplitude of variable speed cutting can reduce by 3-6 times lower than that of constant speed cutting, as long as the variable speed parameter are selected suitably.The values of speed variation amplitude Δn/no and speed variation frequency fn of spindle speed trajectory parameter have great effect on suppressing chatter, Δn/no = 15- 20% and fn = 0.4 - 0.5Hz are suitable.