Nanjing Library

The deployment of UAVs equipped with acoustic arrays for detecting abnormal discharges in transmission line components, such as insulators and fittings, holds significant application potential. However, the substantial impact of UAV self-noise constrains its wide adoption. Based on measurements of typical discharge sounds from transmission line insulator defects and the noise characteristics of an UAV, this paper proposes an abnormal discharge localization method that integrates the Steered Response Power (SRP) approach with spectral subtraction. Experiments conducted with a UAV-mounted acoustic array demonstrate that the proposed method substantially extends the detection distance compared with the conventional SRP method, thereby confirming its effectiveness. This study provides valuable reference for acoustic localization of abnormal discharges in power equipment under UAV-induced noise conditions.

Self-powered photodetectors, which operate without the need for an external power supply, play a pivotal role in addressing the growing demands for low power consumption, environmental sustainability, and device miniaturization. These next-generation photodetectors have garnered significant attention due to their exceptional attributes, including high photoresponsivity, low dark current, and rapid photoresponse. GeS2 and MoTe2 materials, owing to their unique structural characteristics and superior optoelectronic properties, have been extensively explored for self-powered photodetection applications. In this work, we present a gate-tunable photovoltaic behavior and polarization-sensitive near-infrared (NIR) photodetector based on GeS<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>/MoTe<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> heterojunction. Under 850 nm illumination with an incident power density of 63.42 mW/cm², the device exhibits a high responsivity of 1.09 A/W and a specific detectivity of 1.42 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sup> Jones at zero bias, along with a fast response time of 56 ms. By applying a gate voltage, the photovoltaic performance can be effectively modulated, with the responsivity enhanced to 8.3 A/W and the detectivity improved to 1.09 × 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sup> Jones under a gate bias of –8 V. Furthermore, due to the anisotropic optical properties of GeS<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>, the device demonstrates pronounced polarization sensitivity. Leveraging its outstanding NIR performance, the GeS<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>/MoTe<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> photodetector is integrated into a multiband antibiotic concentration detection system, enabling efficient, accurate, and eco-friendly monitoring of antibiotic levels.

The academic tribe-based master teacher studio, as a new pattern of teacher professional development in China, has the potential to circumvent the limitations of traditional master teacher workshops, such as insularity, experience-focused tendency, insensitivity to emerging technologies, unbalanced engagement between members, and rigid mechanisms. This article is a discussion of the chief characteristics and working mechanics of the academic tribe-based master teacher studio. The studio provides an open, intelligent platform for teacher professional growth with the adoption of distributed leadership, collaborative research, and intelligent technology. Focusing on learning, research, and scaling as three core tasks for its teacher members, it plays the concomitant roles as an intelligent learning center, an authentic teaching issue-focused lab, and a research outcome scaling center, aiming to offer the teachers all-round support in personalized learning, teaching problem solution, and research outcome dissemination.

This paper focuses on the research of boot performance optimization for the combination of Loongson 3A5000 platform and Kylin V10 operating system. By analyzing the key stages of the boot process, including UEFI initialization, kernel loading, and system service startup, the primary factors affecting boot speed are identified. Based on the hardware characteristics of the Loongson 3A5000 platform and the software design of the Kylin V10 operating system, a series of targeted optimization strategies are proposed and implemented. Experimental results demonstrate that these strategies effectively enhance the boot speed of the Kylin V10 operating system on the Loongson 3A5000 platform, significantly improving user experience. This research not only provides new insights into the performance optimization of domestic computer platforms and operating systems but also offers valuable references for research and applications in related fields.

The fifth burmaeshnid dragonfly, Neoaeschna kachinensis gen. et sp. nov., is described based on the basal parts of a pair of fore- and hindwings from Kachin amber, indicating that Burmaeshnidae Huang, Cai, Nel & Bechly, 2017 is the most diverse family of true dragonflies in Kachin amber. The new dragonfly differs from the other genera in having one row of cells present in the postdiscoidal area basal of the midfork, the trigonal planate being obsolete, and one or two crossveins present basal of the CuP-crossing in the submedian space.