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Discovering Cohesive Temporal Subgraphs with Temporal Density Aware Exploration

Journal of Computer Science & Technology 2022年第5期37卷 1068-1085页

作者： Chun-Xue Zhu long-long lin Ping-Peng Yuan Hai Jin National Engineering Research Center for Big Data Technology and System Huazhong University of Science and TechnologyWuhan 430074China Service Computing Technology and System Laboratory Huazhong University of Science and TechnologyWuhan 430074China Cluster and Grid Computing Laboratory Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China

Real-world networks,such as social networks,cryptocurrency networks,and e-commerce networks,always have occurrence time of interactions between *** networks are typically modeled as temporal *** cohesive subgraphs from temporal graphs is practical and essential in numerous data mining applications,since mining cohesive subgraphs gets insights into the time-varying nature of temporal ***,existing studies on mining cohesive subgraphs,such as Densest-Exact and k-truss,are mainly tailored for static graphs(whose edges have no temporal information).Therefore,those cohesive subgraph models cannot indicate both the temporal and the structural characteristics of *** this end,we explore the model of cohesive temporal subgraphs by incorporating both the evolving and the structural characteristics of temporal ***,the volume of time intervals in a temporal network is *** a result,the time complexity of mining temporal cohesive subgraphs is *** efficiently address the problem,we first mine the temporal density distribution of temporal *** by the distribution,we can safely prune many unqualified time intervals with the linear time ***,the remaining time intervals where cohesive temporal subgraphs fall in are examined using the greedy *** results of the experiments on nine real-world temporal graphs indicate that our model outperforms state-of-the-art solutions in efficiency and ***,our model only takes less than two minutes on a million-vertex DBLP and has the highest overall average ranking in EDB and TC metrics.

关键词： temporal network temporal feature distribution cohesive subgraph convex property

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A Flexible Smart Healthcare Platform Conjugated with Artificial Epidermis Assembled by Three‑Dimensionally Conductive MOF Network for Gas and Pressure Sensing

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Nano-Micro Letters 2025年第2期17卷 601-620页

作者： Qingqing Zhou Qihang Ding Zixun Geng Chencheng Hu long Yang Zitong Kan Biao Dong Miae Won Hongwei Song lin Xu Jong Seung Kim State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012People’s Republic of China Department of Chemistry Korea UniversitySeoul 02841Republic of Korea TheranoChem Incorporation Seoul 02856Republic of Korea

The rising flexible and intelligent electronics greatly facilitate the noninvasive and timely tracking of physiological information in telemedicine *** building bionic-sensitive moieties is vital for designing efficient electronic skin with advanced cognitive functionalities to pluralistically capture external ***,realistic mimesis,both in the skin’s three-dimensional interlocked hierarchical structures and synchronous encoding multistimuli information capacities,remains a challenging yet vital need for simplifying the design of flexible logic ***,we construct an artificial epidermal device by in situ growing Cu_(3)(HHTP)_(2) particles onto the hollow spherical Ti_(3)C_(2)T_(x) surface,aiming to concurrently emulate the spinous and granular layers of the skin’s *** bionic Ti_(3)C_(2)T_(x)@Cu_(3)(HHTP)_(2) exhibits independent NO_(2) and pressure response,as well as novel functionalities such as acoustic signature perception and Morse code-encrypted message ***,a wearable alarming system with a mobile application terminal is self-developed by integrating the bimodular senor into flexible printed *** system can assess risk factors related with asthmatic,such as stimulation of external NO_(2) gas,abnormal expiratory behavior and exertion degrees of fingers,achieving a recognition accuracy of 97.6%as assisted by a machine learning *** work provides a feasible routine to develop intelligent multifunctional healthcare equipment for burgeoning transformative telemedicine diagnosis.

关键词： Ti_(3)C_(2)T_(x)@Cu_(3)(HHTP)_(2)composites NO_(2)/pressure flexible sensors Health-monitoring Machine learning

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Infiltration by monocytes of the central nervous system and its role in multiple sclerosis: reflections on therapeutic strategies

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Neural Regeneration Research 2025年第3期20卷 779-793页

作者： Guangyong Zhang Qing Yao Chubing long Pengcheng Yi Jiali Song Luojia Wu Wei Wan Xiuqin Rao Yue lin Gen Wei Jun Ying Fuzhou Hua Department of Anesthesiology the Second Affiliated Hospital of Nanchang UniversityNanchangJiangxi ProvinceChina Key Laboratory of Anesthesiology of Jiangxi Province NanchangJiangxi ProvinceChina

Mononuclear macrophage infiltration in the central nervous system is a prominent feature of neuroinflammation. Recent studies on the pathogenesis and progression of multiple sclerosis have highlighted the multiple roles of mononuclear macrophages in the neuroinflammatory process. Monocytes play a significant role in neuroinflammation, and managing neuroinflammation by manipulating peripheral monocytes stands out as an effective strategy for the treatment of multiple sclerosis, leading to improved patient outcomes. This review outlines the steps involved in the entry of myeloid monocytes into the central nervous system that are targets for effective intervention: the activation of bone marrow hematopoiesis, migration of monocytes in the blood, and penetration of the blood–brain barrier by monocytes. Finally, we summarize the different monocyte subpopulations and their effects on the central nervous system based on phenotypic differences. As activated microglia resemble monocyte-derived macrophages, it is important to accurately identify the role of monocyte-derived macrophages in disease. Depending on the roles played by monocyte-derived macrophages at different stages of the disease, several of these processes can be interrupted to limit neuroinflammation and improve patient prognosis. Here, we discuss possible strategies to target monocytes in neurological diseases, focusing on three key aspects of monocyte infiltration into the central nervous system, to provide new ideas for the treatment of neurodegenerative diseases.

关键词： blood–brain barrier macrophages monocytes multiple sclerosis neuroinflammation review therapy

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long noncoding RNA ZNFX1-AS1 promotes the invasion and proliferation of gastric cancer cells by regulating lin28 and CAPR1N1

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World Journal of Gastroenterology 2022年第34期28卷 4973-4992页

作者： Zhong-ling Zhuo Hai-Peng Xian Yu-Jing Sun Yan long Chang Liu Bin Liang Xiao-Tao Zhao Department of Clinical Laboratory Peking University People’s HospitalBeijing 100044China The Key Laboratory of Geriatrics Peking University Fifth School of Clinical MedicineBeijing 100730China Department of Clinical Laboratory Peking University International HospitalBeijing 100044China Department of Gastrointestinal Surgery Peking University People’s HospitalBeijing 100044China

BACKGROUND long noncoding RNA(lncRNA)ZNFX1-AS1(ZFAS1)is a newly discovered lncRNA,but its diagnostic value in gastric cancer is *** To investigate the potential role of ZFAS1 in gastric cancer and to evaluate the clinical significance of ZFAS1 as a biomarker for gastric cancer *** Quantitative real-time polymerase chain reaction(qRT-PCR)was used to screen for gastric cancer-associated lncRNAs in gastric cancer patients,gastric stromal tumor patients,gastritis or gastric ulcer patients,and healthy *** between ZFAS1 expression and clinicopathological features were *** biological effects of ZFAS1 on the proliferation,migration,and invasion of gastric cancer cells were studied by MTT,colony formation,and transwell migration *** potential mechanism of ZFAS1 was demonstrated using enzyme-linked immunosorbent assay and *** relationship between ZFAS1 and tumorigenesis was demonstrated using in vivo tumor formation *** The plasma level of lncRNA ZFAS1 was significantly higher in preoperative patients with gastric cancer than in individuals in the other 4 *** expression of ZFAS1 was significantly associated with lymph node metastasis,advanced TNM stage,and poor ***1 regulated the proliferation,migration,and invasion of gastric cancer cells and regulated the growth of gastric cancer cells in ***28 and CAPRIN1 were identified as key downstream mediators of ZFAS1 in gastric cancer *** LncRNA ZFAS1 promoted the invasion and proliferation of gastric cancer cells by modulating lin28 and CAPRIN1 expression,suggesting that ZFAS1 can be used as a potential diagnostic and prognostic biomarker in gastric cancer.

关键词： long noncoding RNA ZNFX1-AS1 Gastric cancer Biomarker Invasion Proliferation

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Multi-Distributed Speech Emotion Recognition Based on Mel Frequency Cepstogram and Parameter Transfer

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Chinese Journal of Electronics 2022年第1期31卷 155-167页

作者： lin long TAN Liang School of Computer Science Sichuan Normal University Institute of Computing Technology Chinese Academy of Sciences

Speech emotion recognition(SER) is the use of speech signals to estimate the state of emotion. At present, machine learning is one of the main research methods of SER, the test and training data S of traditional machine learning all have the same distribution and feature space, but the data of speech is accessed from different environments and devices, with different distribution characteristics in real life. Thus, the traditional machine learning method is applied to the poor performance of SER. This paper proposes a multi-distributed SER method based on Mel frequency cepstogram(MFCC) and parameter transfer. The method is based on single-layer long short-term memory(LSTM), pre-trained inceptionv3 network and multi-distribution corpus. The speech pre-processed MFCC is taken as the input of single-layer LSTM, and input to the pre-trained inception-v3 *** features are extracted through the pre-trained inception-v3 model. Then the features are sent to the newly defined the fully connected layer and classification layer,let the parameters of the fully connected layer be finetuned, finally get the classification result. The experiment proves that the method can effectively complete the classification of multi-distribution speech emotions and is more effective than the traditional machine learning framework of SER.

关键词： multidistribution corpus fully connected layer feature extraction speech signals machine learning method pre-trained inception-v3 model multidistributed speech emotion recognition pre-trained inception-v3 network feature space recurrent neural nets Mel frequency cepstogram parameter transfer single-layer LSTM speech pre-processed MFCC learning (artificial intelligence) speech recognition emotion recognition multidistributed SER method multidistribution speech emotions

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Developments and challenges ahead in blue perovskite light-emitting devices

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Journal of Energy Chemistry 2022年第8期31卷 418-433,I0011页

作者： lin Zhang Run long College of Chemistry Key Laboratory of Theoretical&Computational Photochemistry of Ministry of EducationBeijing Normal UniversityBeijing 100875China

Recently,perovskite light-emitting diodes(Pe LEDs)have developed rapidly in the green,red,and nearinfrared light emissions,owing to the unique optoelectronic characteristics of halide perovskites,such as high carrier mobility,narrow emission linewidths,high photoluminescence quantum yield,as well as bandgap ***,the efficiency improvement in blue(especially deep-blue)Pe LEDs is still inferior to other analogs,which severely restricts the Pe LED ***,we systematically summarize the substantial progress in the performance of blue Pe LEDs based on different blue perovskite candidates,and recent advances from three aspects(i.e.,the sky-blue,pure-blue,and deep-blue light emissions).Then,we point out several challenges existing in deep-blue Pe LEDs,such as the effect of Cl-ions incorporation,spectral instability,ion migration,and the difficulty of charge injection,and highlight the strategies to improve device efficiency,to motivate further research and development of blue Pe LEDs.

关键词： Perovskite Blue emission Light-emitting diodes Stability Efficiency

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The Security of Using Large Language Models:A Survey With Emphasis on ChatGPT

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 1-26页

作者： Wei Zhou Xiaogang Zhu Qing-long Han lin Li Xiao Chen Sheng Wen Yang Xiang the School of Science Computing and Engineering Technologies Swinburne University of Technology IEEE the School of Computer and Mathematical Sciences the University of Adelaide Adelaide the Faculty of Science and Engineering Southern Cross University the School of Information and Physical Sciences the University of Newcastle

ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future *** this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.

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右美托咪啶与咪达唑仑在重症破伤风患者镇静中效果比较

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现代生物医学进展 2017年第6期17卷 1160-1162,1134页

作者：李旭忠吴德龙姜龙林凤琴许香香南通大学附属东台医院急诊科江苏东台224200

目的:比较右美托咪啶与咪达唑仑用于重症破伤风患者镇静中效果。方法:选取2012年1月~2015年12月间在我院治疗的重症破伤风患者72例,通过随机数表法分为右美托咪啶组与咪达唑仑组,各36例,给予右美托咪啶组静脉泵入右美托咪啶1μg/kg持续... 详细信息

目的:比较右美托咪啶与咪达唑仑用于重症破伤风患者镇静中效果。方法:选取2012年1月~2015年12月间在我院治疗的重症破伤风患者72例,通过随机数表法分为右美托咪啶组与咪达唑仑组,各36例,给予右美托咪啶组静脉泵入右美托咪啶1μg/kg持续时间为10 min,之后以0.3~0.6μg/kg进行维持,咪达唑仑组静脉泵入咪达唑仑0.05 mg/kg,持续时间为1 min,之后以0.02~0.1/kg·h进行维持。监测两组患者用药前及用药12 h后平均动脉压(MAP)、呼吸频率(RR)、血氧饱和度(SpO_2)和心率(HR)深用Ramasy评分法评估镇静程度。结果:两组患者治疗后HR、RR、MAP水平明显降低而SpO_2明显上升且右美托咪啶组HR、RR、及SpO_2改善更显著差异均有统计学意义(P0.05);右美托咪啶组不良反应发生率为5.56%,低于咪达唑仑组的16.67%,差异有统计学意义(P<0.05)。结论右美托咪啶有助于维持患者血流动力学的稳定减少重症破伤风患者心动过速、心率增快、呼吸抑制等不良反应情况的发生。

关键词：右美托咪啶咪达唑仑重症破伤风镇静

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基于O'NET半结构化访谈建构大学生职业适应力故事

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高校辅导员学刊 2025年第1期17卷 34-42,97页

作者：林振余权肖龙福建商学院传媒与会展学院福建福州350012

职业适应力是大学生转型为职场人士的关键能力,其中职业兴趣是核心要素。然而,当前对大学生职业兴趣的分析主要局限于定量评估,导致学生对自身职业兴趣的理解较为表面,甚至开始怀疑其价值。研究采用O'NET半结构化访谈,结合主题演绎驱动... 详细信息

职业适应力是大学生转型为职场人士的关键能力,其中职业兴趣是核心要素。然而,当前对大学生职业兴趣的分析主要局限于定量评估,导致学生对自身职业兴趣的理解较为表面,甚至开始怀疑其价值。研究采用O'NET半结构化访谈,结合主题演绎驱动理论,深入分析了大学生在职业适应力故事中的关注、控制、好奇、自信、合作五个维度,旨在探讨半结构化访谈如何定性地将职业兴趣代码与这五个维度的故事关联起来,并揭示其在提升大学生职业适应力方面的作用。研究结果显示,通过半结构化访谈建构的职业适应力故事,成功整合了定量与定性职业兴趣评估,这种方法不仅能帮助大学生更深入地理解自身的霍兰德职业兴趣代码,还能促使他们系统地叙述职业适应力故事,从而有效提升其职业适应力。

关键词：故事建构半结构化访谈职业适应力定性 O'NET

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Estimation of Oceanic Heat Flux Under Sea Ice in the Arctic Ocean

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Journal of Ocean University of China 2019年第3期18卷 605-614页

作者： lin long ZHAO Jinping College of Oceanic and Atmospheric Ocean University of China Qingdao 266100 China Key Laboratory of Physical Oceanography Ocean University of China Qingdao 266100 China

Oceanic heat flux(Fw) is the vertical heat flux that is transmitted to the base of sea ice. It is the main source of sea ice bottom melting. The residual method was adopted to study oceanic heat flux under sea ice. The data acquired by 28 ice mass balance buoys(IMBs) deployed over the period of 2004 to 2013 in the Arctic Ocean were used. Fw values presented striking seasonal and spatial variations. The average summer Fw values for the Canada Basin, Transpolar Drift, and Multiyear Ice area were 16.8, 7.7, and 5.9 W m^-2, respectively. The mean summer F-w for the whole Arctic was 10.1 W m^-2, which was equivalent to a bottom melt of 0.4 m. Fw showed an autumn peak in November in the presence of the near-surface temperature maximum(NSTM). The average Fw for October to December was 3.7 W m^-2. And the average Fw for January to March was 1.0 W m^-2, which was approximately one third of the average Fw in the presence of NSTM. The summer Fw was almost wholly attributed to the incident solar radiation that enters the upper ocean through leads and the open water. Fw calculated through the residual method using IMB data was compared with that calculated through the parameterization method using Autonomous Ocean Flux Buoy data. The results revealed that the Fw provided by the two methods were consistent when the sea ice concentration exceeded 70% and mixing layer temperature departure from freezing point was less than 0.15℃. Otherwise, the Fw yielded by the residual method was approximately one third smaller than that provided by the parameterization method.

关键词： Arctic Ocean oceanic heat flux residual method NSTM heat release

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