Forced vibration frequency response for a permanent magnetic planetary gear

The time and frequency forced responses for the permanent magnetic planetary gear drive were computed and analyzed. The influence of air gap between sun gear and planetary gear to frequency forced responses is discussed. Results show that the changes of air gap have obvious effects on the low frequency vibration amplitude of elements. When air gap is too large or too small, it will seriously affects the dynamic performance of the system. So, selecting rational system structure parameters is very important, which can avoid system elements generating larger vibration

Efficient Geometry and Illumination Representations for Interactive Protein Visualization

This dissertation explores techniques for interactive simulation and visualization for large protein datasets. My thesis is that using efficient representations for geometric and illumination data can help in developing algorithms that achieve better interactivity for visual and computational proteomics. I show this by developing new algorithms for computation and visualization for proteins. I also show that the same insights that resulted in better algorithms for visual proteomics can also be turned around and used for more efficient graphics rendering. Molecular electrostatics is important for studying the structures and interactions of proteins, and is vital in many computational biology applications, such as protein folding and rational drug design. We have developed a system to efficiently solve the non-linear Poisson-Boltzmann equation governing molecular electrostatics. Our system simultaneously improves the accuracy and the efficiency of the solution by adaptively refining the computational grid near the solute-solvent interface. In addition, we have explored the possibility of mapping the PBE solution onto GPUs. We use pre-computed accumulation of transparency with spherical-harmonics-based compression to accelerate volume rendering of molecular electrostatics. We have also designed a time- and memory-efficient algorithm for interactive visualization of large dynamic molecules. With view-dependent precision control and memory-bandwidth reduction, we have achieved real-time visualization of dynamic molecular datasets with tens of thousands of atoms. Our algorithm is linearly scalable in the size of the molecular datasets. In addition, we present a compact mathematical model to efficiently represent the six-dimensional integrals of bidirectional surface scattering reflectance distribution functions (BSSRDFs) to render scattering effects in translucent materials interactively. Our analysis first reduces the complexity and dimensionality of the problem by decomposing the reflectance field into non-scattered and subsurface-scattered reflectance fields. While the non-scattered reflectance field can be described by 4D bidirectional reflectance distribution functions (BRDFs), we show that the scattered reflectance field can also be represented by a 4D field through pre-processing the neighborhood scattering radiance transfer integrals. We use a novel reference-points scheme to compactly represent the pre-computed integrals using a hierarchical and progressive spherical harmonics representation. Our algorithm scales linearly with the number of mesh vertices

Free vibration of the electromechanical integrated magnetic gear system

The electromechanical integrated magnetic gear (EIMG), in which the field modulated magnetic gear, drive and control are integrated, is proposed in this paper. The dynamic model of the EIMG system with four subsystems is founded and the model assumptions are given. Then, the electromagnetic coupling stiffnesses are calculated by the finite element method and the dynamic differential equations are deduced. On the basis of the modal analyses of the EIMG system, the changes of the natural frequencies with the system parameters are discussed. The results show that the electromagnetic coupling sitffnesses change periodically with the relative rotation angles. The EIMG system has five torsional modes and five transverse modes, which have entirely different modal characteristics. The natural frequencies of the EIMG system are affected greatly by the system parameters

Glomerular Organization of the Antennal Lobes of the Diamondback Moth, Plutella xylostella L.

The antennal lobe of the moth brain is the primary olfactory center processing information concerning pheromones and plant odors. Plutella xylostella is a major worldwide pest of cruciferous vegetables and its behavior is highly dependent on their olfactory system. However, detailed knowledge of the anatomy and function of the P. xylostella olfactory system remains limited. In the present study, we present the 3-Dimentional (3-D) map of the antennal lobe of P. xylostella, based on confocal microscopic analysis of glomerular segmentation and Neurobiotin backfills of Olfactory Receptor Neurons (ORNs). We identified 74–76 ordinary glomeruli and a macroglomerular complex (MGC) situated at the entrance of the antennal nerve in males. The MGC contained three glomeruli. The volumes of glomeruli in males ranged from 305.83 ± 129.53 to 25440.00 ± 1377.67 μm3. In females, 74–77 glomeruli were found, with the largest glomerulus ELG being situated at the entrance of the antennal nerve. The volumes of glomeruli in females ranged from 802.17 ± 95.68 to 8142.17 ± 509.46 μm3. Sexual dimorphism was observed in anomalous supernumerary, anomalous missing, shape, size, and array of several of the identified glomeruli in both sexes. All glomeruli, except one in the antennal lobe (AL), received projections of antennal ORNs. The glomeruli PV1 in both sexes received input from the labial palp nerve and was assumed as the labial pit organ glomerulus (LPOG). These results provide a foundation for better understanding of coding mechanisms of odors in this important pest insect

Public Policy Survey Method Research Based on Multi-Fit Perspective

Based on the review of in and out country public policy researches, We summarize the difference between our country public policy research method and the overseas related domain, Totally 79 public policy research articles are reviewed. Then, we has constructed three dimensional model of the public policy research subject matter, including three dimensions namely the procedure, the result appraisal and the interaction and integrity. Finally, some suggestions for the result application are proposed.Key words: Public Policy; Survey Method; Multi-fit Perspectiv

System for recommending job titles based on user provided titles and categories

The present disclosure relates to a system and method of recommending job titles based on user-provided titles and categories. The system leverages an occupational ontology with multiple levels such as a job title, minor occupational category and major occupational category. The system receives job title or category as inputs from a user. It then classifies the job title or job category into one or more minor job categories. The system then uses a number of recommendation algorithms to generate several job titles. It then presents recommended job titles to the user in one final recommendation list. The user interface could either display all recommended job titles or a subset of job titles. In a variation of the method, the system could sense the user’s reactions to the recommended titles to improve recommendation algorithms over time

Risks For Major Depression: Searching For Stable Traits

In this issue of Biological Psychiatry, Scifo et al. follow a reasonable clinical and epidemiologic classification to separate biological traits and states. They base their hypothesis on existing strong findings that patients often have lifelong recurring episodes of major depression of increasing severity, shorter remission periods, and reduced therapeutic response. Based on these observations, they reason that patients with differing clinical courses (single episodes, single episodes in remission, recurrent episodes, recurrent episodes in remission, and control subjects) should show differing biological traits and states. Applying mass spectrometry–based proteomics to postmortem tissue, they tested 3630 proteins within the subgenual anterior cingulate cortex, a region previously implicated in the modulation of negative mood and found to be responsive to deep brain stimulation in patients with treatment-refractory depression. They identified 98 proteins whose expression was associated with major depressive disorder (MDD). Much to their surprise, they found weak evidence of proteomic differences as a function of depressive state. Instead, they found persistent effects of MDD independent of episode or remission, demographic characteristics, or other clinical measures of severity. They concluded that these proteomic differences did not predict state differences, but may have predicted traits. These depression effects were detected in a host of proteomic measures that certainly will guide numerous other investigations

Vibrations of rigid rotor systems with misalignment on squirrel cage supports

Based on the structural features of a rigid rotor on squirrel cages elastic supports, a finite element (FE) model of the system including squirrel cages is adopted to study its vibration and stress characteristics under the case of bearing misalignment. Firstly, the equations of motion are derived through Lagrange method to obtain the basic dynamic characteristics. Then a three dimensional FE model is established and validated after model updating on basis of the calculated and measured modes and imbalance response. Finally, the influences of bearing misalignment on the rigid rotor system on elastic supports are studied. Results reveal that, for the rigid rotor on elastic squirrel cages supports, bearing misalignment has no obvious influence on the transverse vibration of shaft. However, the stress level on squirrel cage increases significantly, which means the easier damage of bearing and squirrel cage when the bearing misalignment appears

Study of Downhole Shock Loads for Ultra-Deep Well Perforation and Optimization Measures

Ultra-deep well perforation is an important direction for the development of unconventional oil and gas resources, the security with shock loads is a difficult technical problem. Firstly, the theoretical analysis of perforated string is carried out, the dynamics models of which are established in the directions of axial, radial and circumferential. Secondly, the process of perforating with hundreds of bullets is simulated by using the software of LS-DYNA (ANSYS, Inc, Pennsylvania, USA). The propagation attenuation model of shock loads is established, and a calculation model to predict shock loads at different positions of the tubing interval has been fitted by considering multiple factors. The dynamic response of perforated string is studied, and the vulnerable parts of which are found out. Thirdly, the optimization measures are put forward for ultra-deep well perforation by the design of shock adsorption and safety distance of the packer. Finally, the field case of an ultra-deep well shows that the research method in this paper is practical, and the optimization measures are reasonable and effective. This study can provide important guidance to reduce shock damage and improve security for ultra-deep well perforation