PETROGENESIS AND RARE METAL MINERALIZATION OF THE ALKALINE GRANITIC MAGMA: A CASE STUDY FROM THE BOZIGUO’ER RARE METAL GRANITIC INTRUSION

The origination and differentiation of rare metalbearing, alkaline granites has attracted extensive interests because of their economic significance.The origination and differentiation of rare metalbearing, alkaline granites has attracted extensive interests because of their economic significance

AN EARLY PERMIAN GARNET-BEATING PERALUMINOUS GRANITIC PLUTON IN THE SOUTH TIANSHAN OROGENIC BELT, NW CHINA: PETROLOGICAL, MINERALOGICAL AND GEOCHEMICAL CONSTRAINTS

The Ku’erchu granitic pluton (283±4 Ma) was exposed in the eastern part of the South Tianshan Orogenic Belt. The granites from the intrusion are mainly composed of orthoclase (~45 vol. %), plagioclase (~15 vol. %), quartz (~20 vol. %), muscovite (~10 vol. %) and biotite (~5 vol. %), with accessory minerals including garnet, zircon and Fe-Ti oxide.The Ku’erchu granitic pluton (283±4 Ma) was exposed in the eastern part of the South Tianshan Orogenic Belt. The granites from the intrusion are mainly composed of orthoclase (~45 vol. %), plagioclase (~15 vol. %), quartz (~20 vol. %), muscovite (~10 vol. %) and biotite (~5 vol. %), with accessory minerals including garnet, zircon and Fe-Ti oxide

Temperature Oscillation of Loop Heat Pipe for AMS Cryocooler

AbstractTemperature oscillation characteristics of loop heat pipes (LHPs) for alpha magnetic spectrometer (AMS) cryocoolers during thermal vacuum and thermal balance (TVTB) testing were determined. Temperature oscillation only occurred for only one of eight LHPs. Temperature oscillations normally occurred at high sink temperature and/or heat load. Inclusion of a bypass valve was an effective measure to suppress temperature oscillations, because vapor at the condenser was not saturated when the bypass valve was open

Scene Graph for Embodied Exploration in Cluttered Scenario

The ability to handle objects in cluttered environment has been long anticipated by robotic community. However, most of works merely focus on manipulation instead of rendering hidden semantic information in cluttered objects. In this work, we introduce the scene graph for embodied exploration in cluttered scenarios to solve this problem. To validate our method in cluttered scenario, we adopt the Manipulation Question Answering (MQA) tasks as our test benchmark, which requires an embodied robot to have the active exploration ability and semantic understanding ability of vision and language.As a general solution framework to the task, we propose an imitation learning method to generate manipulations for exploration. Meanwhile, a VQA model based on dynamic scene graph is adopted to comprehend a series of RGB frames from wrist camera of manipulator along with every step of manipulation is conducted to answer questions in our framework.The experiments on of MQA dataset with different interaction requirements demonstrate that our proposed framework is effective for MQA task a representative of tasks in cluttered scenario

The method of coal and gas outburst risk zones division based on quantitative coupling of gas and stress

In order to realize the accurate division of coal and gas outburst risk zones, taking Juji Coal Mine as the case study, the method of coal and gas outburst risk zones division based on quantitative coupling of gas and stress is proposed. The results show that the high gas pressure zones are concentrated in the eastern of No.23 mining area, and most of No.26 and No.27 mining area. The vertical stress in the mine ranges from 6 MPa to 36 MPa. The comprehensive weights of gas pressure and stress are determined by AHP-entropy weight method, and the outburst risk comprehensive index Q is calculated accordingly. According to the range of Q, the mine is divided into low risk zone (Q \u3c 0.5), medium risk zone (0.5 ≤ Q ≤ 0.75) and high risk zone (Q \u3e 0.75). It has been verified that the drilling cuttings S value in No.26 mining area (high risk zone), No.27 mining area (medium risk zone) and No.211 mining area (low risk zone) is 3.6~4.8 kg/m, 3.2~4.6 kg/m and 3.0~4.4 kg/m, and the initial gas emission velocity q value ranged from 0 to 3.7 L/min, 0 to 0.46 L/min and 0 L/min, respectively

OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution

Omnidirectional images (ODIs) have become increasingly popular, as their large field-of-view (FoV) can offer viewers the chance to freely choose the view directions in immersive environments such as virtual reality. The M\"obius transformation is typically employed to further provide the opportunity for movement and zoom on ODIs, but applying it to the image level often results in blurry effect and aliasing problem. In this paper, we propose a novel deep learning-based approach, called \textbf{OmniZoomer}, to incorporate the M\"obius transformation into the network for movement and zoom on ODIs. By learning various transformed feature maps under different conditions, the network is enhanced to handle the increasing edge curvatures, which alleviates the blurry effect. Moreover, to address the aliasing problem, we propose two key components. Firstly, to compensate for the lack of pixels for describing curves, we enhance the feature maps in the high-resolution (HR) space and calculate the transformed index map with a spatial index generation module. Secondly, considering that ODIs are inherently represented in the spherical space, we propose a spherical resampling module that combines the index map and HR feature maps to transform the feature maps for better spherical correlation. The transformed feature maps are decoded to output a zoomed ODI. Experiments show that our method can produce HR and high-quality ODIs with the flexibility to move and zoom in to the object of interest. Project page is available at http://vlislab22.github.io/OmniZoomer/.Comment: Accepted by ICCV 202

Charge analysis on lightning discharges to the ground in Chinese inland plateau (close to Tibet)

International audienceSince the summer of 1996, scientists from China and Japan have conducted a joint observation of natural cloud-to-ground lightning discharges in the Zhongchuan area that is located close to Qinghai-Xizang (Tibet) Plateau, China. It has been found that the long-duration of intracloud discharge processes, just before the first return stroke, lasted more than 120 ms for 85% of cloud-to-ground flashes in this area, with a mean duration of 189.7 ms and a maximum of 300 ms. We present the results of charge sources neutralized by four ground flashes and two intracloud discharge processes, just before the first return stroke, by using the data from a 5-site slow antenna network synchronized by GPS with 1 µs time resolution. The result shows that the altitudes of the neutralized negative charge for three negative ground flashes were between 2.7 to 5.4 km above the ground, while that of neutralized positive charges for one positive ground flash and one continuing current process were at about 2.0 km above the ground. The comparison with radar echo showed that the negative discharges initiated in the region greater than 20 dBZ or near the edge of the region with intense echoes greater than 40 dBZ, while positive discharge initiated in the weak echo region.Key words: Meterology and atmospheric dynamics (atmospheric electricity; convective processes; lightning) <p style="line-height: 20px;"