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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Yuan, Haiying Tan, Zheng Gao, Luanfeng Hu, Yulu School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China Shenzhen Institute for Advanced Study Uestc Shenzhen China

ISBN: (纸本)9781733509657

To improve the ability of simulation analysis of travelling wave tube (TWT) simulation software and realize the design objectives of full data coverage, model feedback and model tuning, the digitization of TWT with Microwave Tube Simulator Suite (MTSS) as the core is studied in this paper. MTSS is driven by script to quickly establish co-simulation of the whole TWT, which can improve the ability of accurate simulation analysis of component and automatic optimization design of whole tube, shorten the design cycle of TWT and improve the comprehensive design level of TWT. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Computer software

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Unsupervised Metabolomic Analysis for Detecting Early-warning Signals during Progression of Colorectal Cancer

Unsupervised Metabolomic Analysis for Detecting Early-warnin...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Pan, Minglei Liu, Zengding Miao, Fen Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen China University of Chinese Academy of Sciences Shenzhen College of Advanced Technology Shenzhen China University of Electronic Science and Technology of China Shenzhen Institute for Advanced Study Shenzhen China

ISBN: (纸本)9798350386226

Colorectal cancer (CRC) affects over 2.5 million people globally each year, with the majority of cases originating from the development of adenomatous polyps, which progress from intramucosal carcinoma to malignant tumors. Identifying the critical point (pre-disease state) and detecting early-stage cancer for endoscopic resection are primary objectives in cancer control. However, these tasks present significant challenges due to the extremely subtle or negligible differences in gross signs between the pre-disease and healthy states. In this study, inspired by the dynamic network biomarker (DNB) theory, we propose E-DNB, an unsupervised graph-based model, to detect pre-disease state of CRC deterioration before the onset of malignant tumors using metabolize data. Two stages are involved in the E-DNB model: network construction and graph similarity learning. In the network construction stage, individual networks based on Pearson correlation coefficients are constructed for subjects at different stages of CRC using metabolomics data. Subsequently, individual networks are compared to baseline networks to measure their similarity based on squared Euclidean distance in the graph similarity learning stage, to generate DNB for identifying the pre-disease state of CRCs. Experiments on 220 subjects at various stages of CRC demonstrate that E-DNB achieves an AUC of 71% in detecting pre-disease state of CRCs, which exceeds the current DNB and popular supervised methods, demonstrating the performance of the proposed E-DNB. Our findings offer novel insights into the early diagnosis of CRCs and may contribute to advancements in addressing complex diseases. © 2024 IEEE.

关键词： Lung cancer

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The Lightweight Improvement of YOLOv7-tiny and its Application on Defect Detection 6

The Lightweight Improvement of YOLOv7-tiny and its Applicati...

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6th IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2024

作者： Liu, Chongyao He, Shiquan University of Electronic Science and Technology Shenzhen Institute for Advanced Study ShenZhen China University of Electronic Science and Technology School of E.E Chengdu China

ISBN: (纸本)9798350316520

Addressing the need for visual defect detection in the manufacturing process of certain vehicular ultrasonic radars, this paper introduces an enhanced algorithm for the YOLOv7-tiny object detection model to ensure real-time and accurate detection. The modification involves replacing the YOLOv7-tiny's backbone network with a more lightweight FasterNet-T0 module, aiming to reduce the model's parameter count and computational demand, thus accelerating detection speed. To better recognize defects in components with slender structural features, a Dynamic Snake Convolution (DSConv) is utilized in place of the traditional convolution algorithm in the detection head, enhancing the model's defect identification capabilities. Concurrently, the adoption of a more versatile loss function, Alpha-IoU, as the evaluation standard, improves the accuracy of bounding box predictions. Experimental tests on sample products reveal that, compared to the original YOLOv7-tiny model, our approach reduces the parameter count by 27.6% and floating-point operations by 34.4%, while elevating the mAP@0.5 metric from 96.5% to 97.8%. This improvement in detection precision for specific targets, along with the model's light-weighting, makes it suitable for defect. © 2024 IEEE.

关键词： Convolution

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A Leaking-Proof Theranostic Nanoplatform for Tumor-Targeted and Dual-Modality Imaging-Guided Photodynamic Therapy

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Biomedical Engineering Frontiers 2023年第1期4卷 187-196页

作者： Duo Jin Yang Zhu Manman Liu Wenxin Yu Jiaji Yu Xinwei Zheng Lulu Wang Yun Wu Kaiju Wei Junjie Cheng Yangzhong Liu Department of Chemistry University of Science and Technology of ChinaHefei 230001China High Magnetic Field Laboratory Chinese Academy of SciencesHefei 230031China Nano Science and Technology Institute Suzhou Institute for Advanced StudyUniversity of Science and Technology of ChinaSuzhou 215123China

Objective:A protein-based leaking-proof theranostic nanoplatform for dual-modality imaging-guided tumor photodynamic therapy(PDT)has been *** Statement:A site-specific conjugation of chlorin e6(Ce6)to ferrimagnetic ferritin(MFtn-Ce6)has been constructed to address the challenge of unexpected leakage that often occurs during small-molecule drug ***:PDT is one of the most promising approaches for tumor treatment,while a delivery system is typically required for hydrophobic ***,the nonspecific distribution and leakage of photosensitizers could lead to insufficient drug accumulation in tumor ***:An engineered ferritin was generated for site-specific conjugation of Ce6 to obtain a leaking-proof delivery system,and a ferrimagnetic core was biomineralized in the cavity of ferritin,resulting in a fluorescent ferrimagnetic ferritin nanoplatform(MFtn-Ce6).The distribution and tumor targeting of MFtn-Ce6 can be detected by magnetic resonance imaging(MRI)and fluorescence imaging(FLI).Results:MFtn-Ce6 showed effective dual-modality MRI and FLI.A prolonged in vivo circulation and increased tumor accumulation and retention of photosensitizer was *** time-dependent distribution of MFtn-Ce6 can be precisely tracked in real time to find the optimal time window for PDT *** colocalization of ferritin and the iron oxide core confirms the high stability of the nanoplatform in *** results showed that mice treated with MFtn-Ce6 exhibited marked tumor-suppressive activity after laser ***:The ferritin-based leaking-proof nanoplatform can be used for the efficient delivery of the photosensitizer to achieve an enhanced therapeutic *** method established a general approach for the dual-modality imagingguided tumor delivery of PDT agents.

关键词： proof distribution retention

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DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs 38

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed ...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Zhang, Jiasheng Chen, Jialin Yang, Menglin Feng, Aosong Liang, Shuang Shao, Jie Ying, Rex University of Electronic Science and Technology of China China Yale University United States Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China China

Dynamic text-attributed graphs (DyTAGs) are prevalent in various real-world scenarios, where each node and edge are associated with text descriptions, and both the graph structure and text descriptions evolve over time. Despite their broad applicability, there is a notable scarcity of benchmark datasets tailored to DyTAGs, which hinders the potential advancement in many research fields. To address this gap, we introduce Dynamic Text-attributed Graph Benchmark (DTGB), a collection of large-scale, time-evolving graphs from diverse domains, with nodes and edges enriched by dynamically changing text attributes and categories. To facilitate the use of DTGB, we design standardized evaluation procedures based on four real-world use cases: future link prediction, destination node retrieval, edge classification, and textual relation generation. These tasks require models to understand both dynamic graph structures and natural language, highlighting the unique challenges posed by DyTAGs. Moreover, we conduct extensive benchmark experiments on DTGB, evaluating 7 popular dynamic graph learning algorithms and their variants of adapting to text attributes with LLM embeddings, along with 6 powerful large language models (LLMs). Our results show the limitations of existing models in handling DyTAGs. Our analysis also demonstrates the utility of DTGB in investigating the incorporation of structural and textual dynamics. The proposed DTGB fosters research on DyTAGs and their broad applications. It offers a comprehensive benchmark for evaluating and advancing models to handle the interplay between dynamic graph structures and natural language. The dataset and source code are available at https://***/zjs123/DTGB. © 2024 Neural information processing systems foundation. All rights reserved.

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Analysis of an M/(G1G2)/1 Queue with Bernoulli Vacation and Server Breakdown

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International Journal of Applied and Computational Mathematics 2023年第1期9卷 1-32页

作者： Begum, Anjana Choudhury, Gautam Mathematical Sciences Division Institute of Advanced Study in Science and Technology Paschim Boragaon Assam Guwahati 781035 India

In this article, an M/(G1G2)/1 queue with service interruption consisting of a definite repairability is analyzed in the steady-state regime. Here, the server, after completion of a service, is allowed to take in a single vacation under the Bernoulli schedule. For this model, probability generating function (PGF) for queue length distribution at arbitrary and service completion epoch are derived. Laplace Stieltjes Transform (LST) of a busy period distribution and waiting time distribution are obtained. In addition to these, some important performance measures such as the mean queue size and the mean waiting time of a customer are achieved. The reliability indices for this model are carried out and are included in the study. An optimal operation policy of the model in terms of total expected cost is developed at a lower cost. Finally, various numerical examples are presented in support of the theory. © 2022, The Author(s), under exclusive licence to Springer Nature India Private Limited.

关键词： Bernoulli Vacation Schedule (BVS) M/(G1G2)/1queue Reliability analysis Repair time Server breakdown

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SSP: A Simple and Safe Prompt Engineering for Visual Generation

SSP: A Simple and Safe Prompt Engineering for Visual Generat...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Cheng, Weijin Liu, Jianzhi Jiao, Ziyun Deng, Jiawen Ren, Fuji College of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen China

ISBN: (纸本)9781665410205

Prompt engineering aims to adapt an AI foundation model on the token level without weight updating. Recently, with the development of visual models, many researchers have begun to study visual generation quality improvement using prompt engineering. However, while those studies mainly aim to improve visual quality, they overlook the safe factors in prompts. We find that adding specific camera descriptions not only prevents these issues but also enhances visual quality. Consequently, we propose a simple and safe prompt engineering method (SSP) to improve visual generation quality by providing optimal camera descriptions. Specifically, we create a dataset from multi-datasets as original prompts. To select the optimal camera, we design an optimal camera matching approach and implement a classifier for original prompts capable of automatically matching. Appending camera descriptions to original prompts generates optimized prompts for further visual generation. Experiments demonstrate that SSP improves semantic consistency by an average of 16 % compared to others and safety metrics by 35.8%. © 2024 IEEE.

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Design strategies of performance-enhanced Se cathodes for Li-Se batteries and beyond

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Journal of Energy Chemistry 2023年第1期76卷 528-546,I0013页

作者： Weiling Qiu Xiang Long Huang Ye Wang Chi Feng Haining Ji Hua Kun Liu Shi Xue Dou Zhiming Wang Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054SichuanChina Institute for Superconducting and Electronic Materials Australian Institute for Innovative MaterialsUniversity of WollongongNSW 2500Australia School of Materials and Energy.University of Electronic Science and Technology of China Chengdu 610054SichuanChina Institute for Advanced Study Chengdu UniversityChengdu 610106SichuanChina Institute of Energy Materials Science University of Shanghai for Science and TechnologyShanghai 200093China

Lithium-selenium(Li-Se)batteries are deemed as an emerging high energy density electrochemical energy storage system owing to their high specific capacity and volume *** to their practicality,a series of critical challenges from the Se cathode side need to be overcome including low reactivity of bulk Se,shuttle effect of intermediates,sluggish redox kinetics of polyselenides,and volume change *** this review,recent progress on design strategies of functional Se cathodes are comprehensively summarized and *** the significance and key challenges,various efficient functionalized strategies for Se cathodes are presented,encompassing covalent bonding,nanostructure construction,heteroatom doping,component hybridization,and solid solution ***,the universality of these functional strategies are successfully extended into Na-Se batteries,K-Se batteries,and Mg-Se *** last,a brief summary is made and some perspectives are offered with the goal of guiding future research advances and further exploration of these strategies.

关键词： Metal-selenium batteries Se cathodes Carbons Nanostructure Materials design

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Riemann–Hilbert approach and N double-pole solutions for a nonlinear Schrödinger-type equation

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Chinese Physics B 2022年第11期31卷 164-171页

作者： Guofei Zhang Jingsong He Yi Cheng School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026China Institute for Advanced Study Shenzhen UniversityShenzhen 518060China

We investigate the inverse scattering transform for the Schrödinger-type equation under zero boundary conditions with the Riemann–Hilbert(RH)*** the direct scattering process,the properties are given,such as Jost solutions,asymptotic behaviors,analyticity,the symmetries of the Jost solutions and the corresponding spectral *** the inverse scattering process,the matrix RH problem is constructed for this integrable equation base on analyzing the spectral ***,the reconstruction formula of potential and trace formula are also derived ***,N double-pole solutions of the nonlinear Schrödinger-type equation are obtained by solving the RH problems corresponding to the reflectionless ***,we present a single double-pole solution by taking some parameters,and it is analyzed in detail.

关键词： Schrödinger-type equation Riemann-Hilbert problem zero boundary conditions N double-pole solitons

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MOF-mediated synthesis of novel PtFeCoNiMn high-entropy nanoalloy as bifunctional oxygen electrocatalysts for zinc-air battery

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Nano Research 2024年第6期17卷 5288-5297页

作者： Mingkuan Xie Xin Xiao Duojie Wu Cheng Zhen Chunsheng Wu Wenjuan Wang Hao Nian Fayan Li Meng Danny Gu Qiang Xu Shenzhen Key Laboratory of Micro/Nano-Porous Functional Materials(SKLPM) Shenzhen 518055China Department of Chemistry Southern University of Science and TechnologyShenzhen 518055China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China SUSTech-Kyoto University Advanced Energy Materials Joint Innovation Laboratory(SKAEM-JIL) Shenzhen 518055China Key University Laboratory of Highly Efficient Utilization of Solar Energy and Sustainable Development of Guangdong Southern University of Science and TechnologyShenzhen 518055China Eastern Institute for Advanced Study Eastern Institute of TechnologyNingbo 315200China

High-entropy alloy(HEA)-based materials are expected to be promising oxygen electrocatalysts due to their exceptional *** electronic structure regulation of HEAs plays a pivotal role in enhancing their elctrocatalytic ***,PtFeCoNiMn nanoparticles(NPs)with subtle lattice distortions are constructed on metal-organic framework-derived nitrogen-doped carbon by an ultra-rapid Joule heating *** to the modulated electronic structure and the inherent cocktail effect of HEAs,the as-synthesized PtFeCoNiMn/NC exhibits superior bifunctional electrocatalytic performance with a positive half-wave potential of 0.863 V *** hydrogen electrode(RHE)for oxygen reduction reaction and a low overpotential of 357 mV at 10 mA·cm^(-2)for oxygen evolution *** assembled quasi-solid-state zinc-air battery using PtFeCoNiMn/NC as air electrode shows a high peak power density of 192.16 mW·cm^(-2),low charge−discharge voltage gap,and excellent durability over 500 cycles at 5 mA·cm^(-2).This work demonstrates an effective route for rational design of bifunctional nanostructured HEA electrocatalysts with favorable electronic structures,and opens up a fascinating directions for energy storage and conversion,and beyond.

关键词： oxygen reduction reaction oxygen evolution reaction high-entropy nano-alloy zinc-air battery

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