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The Large Language Models on Biomedical Data Analysis: A Survey

IEEE Journal of Biomedical and Health Informatics 2025年第6期29卷 4486-4497页

作者： Lan, Wei Tang, Zhentao Liu, Mingyang Chen, Qingfeng Peng, Wei Chen, Yi-Ping Phoebe Pan, Yi Guangxi University School of Computer Electronic and Information Nanning530004 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China La Trobe University Department of Computer Science and Information Technology MelbourneVIC3086 Australia Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent need for a summary of LLM applications in biomedical data analysis. Herein, we propose this review by summarizing the latest research work on LLM in biomedicine. In this review, LLM techniques are first outlined. We then discuss biomedical datasets and frameworks for biomedical data analysis, followed by a detailed analysis of LLM applications in genomics, proteomics, transcriptomics, radiomics, single-cell analysis, medical texts and drug discovery. Finally, the challenges of LLM in biomedical data analysis are discussed. In summary, this review is intended for researchers interested in LLM technology and aims to help them understand and apply LLM in biomedical data analysis research. © 2013 IEEE.

关键词： Data consistency

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A novel cognitive opportunistic communication framework for coal mines

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Coal International 2024年第1期272卷 41-50页

作者： Hu, Qingsong Ding, Juan Li, Shiyin School of Information and Control Engineering China University of Mining and Technology Xuzhou Jiangsu China Zhuhai College Jilin University Zhuhai Guangdong China

The dynamic advancement and harsh environment of coal mines often result in intermittent or regional wireless connection between sending nodes and receiving nodes and then lead to the decrease of transmission success ratio and even failure. To solve this problem, the environmental cognition and best-effort transmission are both demanded. Here we proposed a novel communication framework for coal mines based on a cognitive opportunistic concept to address the wireless network communication problems in coal mines, which consists of the node mobility model in coal mines, cooperative cognition of the time-varying communication environment, and the opportunistic routing of intermittent or regional connection scenarios. To realise this framework, real time neighbour discovering mechanisms and mobility perceiving strategies, called environment cognition, must be deeply investigated to predict the trends of node movement. The obtained results of environment cognition are then used to analyse current channel characteristics to determine and set optimum communication system parameters and reduce the probability of intermittent or regional connection. To address those unavoidable situations of the intermittent or regional connection, the opportunistic routing mechanism is brought forward to provide relatively stable data transmission. Finally, as an example of cognitive opportunistic mine communication of this framework, personnel evacuation under an emergency is discussed. © 2024 Tradelink Publications Ltd.. All rights reserved.

关键词： Coal mines

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From earthquake resistance structure to earthquake resilience city–urban seismic resilience assessment

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Earthquake engineering and engineering Vibration 2025年第1期24卷 1-13页

作者： Xie Lili Zhao Yonggang Wen Weiping Zhai Changhai Key lab of Structures Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Key lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China Institute of Engineering Mechanics China Earthquake AdministrationHarbin 150080China

Earthquakes pose significant perils to the built environment in urban *** avert the calamitous aftermath of earthquakes,it is imperative to construct seismic resilient *** to the intricacy of the concept of urban seismic resilience(USR),its assessment is a large-scale system engineering *** assessment of USR should be based on the notion of urban seismic capacity(USC)assessment,which includes casualties,economic loss,and recovery time as *** loss is also included in the assessment of USR in addition to these *** assessment indicator system comprising five dimensions(building and lifeline infrastructure,environment,society,economy,and institution)and 20 indicators has been devised to quantify *** analytical hierarchy process(AHP)is utilized to compute the weights of the criteria,dimensions,and indicators in the urban seismic resilience assessment(USRA)indicator *** the necessary data for a city are obtainable,the seismic resilience of that city can be assessed using this *** illustrate the proposed methodology,a moderate-sized city in China was selected as a case *** assessment results indicate a high level of USR,suggesting that the city possesses strong capabilities to withstand and recover from potential future earthquakes.

关键词： urban seismic capacity urban seismic resilience assessment analytic hierarchy process functionality loss

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TIPS:Tailored information Extraction in Public Security Using Domain-Enhanced Large Language Model

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Computers, Materials & Continua 2025年第5期83卷 2555-2572页

作者： Yue Liu Qinglang Guo Chunyao Yang Yong Liao School of Cyber Science and Technology University of Science and Technology of ChinaHefei230026China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information TechnologyBeijing100041China

Processing police incident data in public security involves complex natural language processing(NLP)tasks,including information *** data contains extensive entity information—such as people,locations,and events—while also involving reasoning tasks like personnel classification,relationship judgment,and implicit ***,utilizing models for extracting information from police incident data poses a significant challenge—data scarcity,which limits the effectiveness of traditional rule-based and machine-learning *** address these,we propose *** collaboration with public security experts,we used de-identified police incident data to create templates that enable large language models(LLMs)to populate data slots and generate simulated data,enhancing data density and *** then designed schemas to efficiently manage complex extraction and reasoning tasks,constructing a high-quality dataset and fine-tuning multiple open-source *** showed that the fine-tuned ChatGLM-4-9B model achieved an F1 score of 87.14%,nearly 30%higher than the base model,significantly reducing error *** corrections further improved performance by 9.39%.This study demonstrates that combining largescale pre-trained models with limited high-quality domain-specific data can greatly enhance information extraction in low-resource environments,offering a new approach for intelligent public security applications.

关键词： Public security information extraction large language model prompt engineering

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A Power Load Prediction by LSTM Model Based on the Double Attention Mechanism for Hospital Building

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Wuhan University Journal of Natural Sciences 2023年第3期28卷 223-236页

作者： FENG Zengxi GE Xun ZHOU Yaojia LI Jiale School of Information and Control Engineering Xi'an University of Architecture and TechnologyXi'an 710055ShaanxiChina

This work proposed a LSTM(long short-term memory)model based on the double attention mechanism for power load prediction,to further improve the energy-saving potential and accurately control the distribution of power load into each department of the ***,the key influencing factors of the power loads were screened based on the grey relational degree ***,in view of the characteristics of the power loads affected by various factors and time series changes,the feature attention mechanism and sequential attention mechanism were introduced on the basis of LSTM *** former was used to analyze the relationship between the historical information and input variables autonomously to extract important features,and the latter was used to select the historical information at critical moments of LSTM network to improve the stability of long-term prediction *** the end,the experimental results from the power loads of Shanxi Eye Hospital show that the LSTM model based on the double attention mechanism has the higher forecasting accuracy and stability than the conventional LSTM,CNN-LSTM and attention-LSTM models.

关键词： power load prediction long short-term memory(LSTM) double attention mechanism grey relational degree hospital building

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LoRaWAN Sensors Integration for Manufacturing Applications via Edge Device Model with OPC UA 28

LoRaWAN Sensors Integration for Manufacturing Applications v...

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28th International Conference on Applied Electronics, AE 2023

作者： Peniak, Peter Holečko, Peter Bubeniková, Emilia Kanáliková, Alžbeta University of Žilina Žilina Faculty of Electrical Engineering Engineering and Information Technology Department of Control and Information Systems Slovakia University of Žilina Faculty of Electrical Engineering and Information Technology Department of Control and Information Systems Žilina Slovakia

ISBN: (纸本)9798350335538

The article deals with the integration of Lo(ng) Ra(nge) Wide Area Network (LoRaWAN) sensors with generic manufacturing applications and Industrial Internet of Things (IIoT) use-cases. The focus is on creating a suitable Edge device model that enables the integration of specific Long Range (LoRa) sensors together with the other generic Internet of Things (IoT/IIoT). The model is based on the Open Platform Communications Unified Architecture (OPC UA) standard, which is the most suitable integration platform for various control systems and manufacturing applications. The model was implemented in Node-RED software and subsequently validated to confirm the required integration of LoRaWAN sensors within OPC UA models. In contrast to other approaches based on integration gateway or LoRaWAN/OPC UA protocol convertors, the proposed model utilizes extended capabilities of Edge computing. It enables Edge processing and data transformation of LoRaWAN sensors data transferred by Message Queuing Telemetry Transport (MQTT) protocol from the network server, based on requirements of manufacturing applications for cloud solutions. © 2023 IEEE.

关键词： Wide area networks

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Non Intrusive Load Monitoring of Energy Routers Based on FHMM 2

Non Intrusive Load Monitoring of Energy Routers Based on FHM...

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2nd International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2024

作者： Li, Ka He, Siming Pu, Xuebin Zhang, Ziduo Guan, Baojin Jiang, Xinyue School of Information and Control Engineering Jilin Institude of Chemical Technology Jilin China School of Electrical and Information Engineeering Changchun Institude of Technology Jilin China School of Electrical and Information Engineering Changchun Institude of Technology Changchun China School of Information and Control Engineeering Jilin Institude of Chemical Technology Changchun China

ISBN: (纸本)9798350373318

Having the ability to perceive load information is a necessary requirement for the effective operation of home energy routers. In order to improve the load intelligent sensing technology for home energy routers, this article uses non-invasive load monitoring technology to achieve the load intelligent sensing function of home energy routers. Non- intrusive load monitoring, as an energy consumption monitoring method, can deeply analyze the fine-grained load components of users, which is of great significance for power optimization at the user end. At the same time, it also has the characteristics of fast implementation and low cost. Firstly, establish a system model for non-invasive load monitoring of energy routers, then establish a non-invasive load monitoring model based on FHMM. Finally, use the Viterbi algorithm to solve for the optimal hidden state sequence of load devices, and then calculate the power consumption of each device. The experimental results show that the decomposition results of the proposed algorithm are close to the actual load. © 2024 IEEE.

关键词： Viterbi algorithm

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Study on Optimal Scheduling of Multi-port Energy Router Based on Improved PSO Algorithm 2

Study on Optimal Scheduling of Multi-port Energy Router Base...

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2nd International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2024

作者： Pu, Xuebin He, Siming Zhang, Ziduo Li, Ka Guan, Baojin Li, Yang School of Information and Control Engineering Jilin Institude of Chemical Technology Jilin China School of Electrical and Information Engineeering Changchun Institude of Technology Jilin China School of Electrical and Information Engineering Changchun Institude of Technology Changchun China School of Information and Control Engineeering Jilin Institude of Chemical Technology Changchun China

ISBN: (纸本)9798350373318

Energy router is the key equipment for coordinated management and efficient utilization of multiple energy sources in the energy Internet. This article proposes an efficient energy optimization scheduling method (SSA-PSO) to address the issues of low distributed energy utilization efficiency and unreasonable energy configuration among the ports of energy routers. Firstly, introduce the physical layer, information layer, and energy management system architecture of the energy router. Introduce the topology structure. Secondly, establish a multi-objective optimization scheduling model under grid connection mode that comprehensively considers the operating costs and environmental protection costs of multi port energy routers, and then solve the optimization model through an improved particle swarm optimization algorithm. Finally, comparing SSA-PSO with traditional PSO, simulation results show that the proposed method has better convergence accuracy, stronger global search ability, and superior performance in the field of energy router optimization scheduling. © 2024 IEEE.

关键词： Operating costs

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An Embedded Consensus ADMM Distribution Algorithm Based on Outer Approximation for Improved Robust State Estimation of Networked Microgrids

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1217-1226页

作者： Zifeng Zhang Yuntao Ju State Grid Information&Telecommunication Group Co. Ltd.Beijing BranchBejingChina School of Electrical and Control Engineering North China University of TechnologyBeijingChina

Networked microgrids(NMGs)are critical in theaccommodation of distributed renewable ***,theexisting centralized state estimation(SE)cannot meet the demandsof NMGs in distributed energy *** currentestimator is also not robust against bad *** study introducesthe concepts of relative error to construct an improvedrobust SE(IRSE)optimization model with mixed-integer nonlinearprogramming(MINLP)that overcomes the disadvantage ofinaccurate results derived from different measurements whenthe same tolerance range is considered in the robust SE(RSE).To improve the computation efficiency of the IRSE optimizationmodel,the number of binary variables is reduced based on theprojection statistics and normalized residual methods,which effectivelyavoid the problem of slow convergence or divergenceof the algorithm caused by too many integer ***,an embedded consensus alternating direction of multiplier method(ADMM)distribution algorithm based on outer approximation(OA)is proposed to solve the IRSE optimization *** algorithm can accurately detect bad data and obtain SE resultsthat communicate only the boundary coupling informationwith *** tests show that the proposed algorithmeffectively detects bad data,obtains more accurate SE results,and ensures the protection of private information in all microgrids.

关键词： Distributed optimization alternating direction of multiplier methods(ADMM) robust state estimation(RSE) mixed-integer nonlinear programming(MINLP) networked microgrid(NMG)

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Research on Energy Storage control Strategy of Energy Router Based on Linear Active Disturbance Rejection control 2

Research on Energy Storage Control Strategy of Energy Router...

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2nd International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2024

作者： Zhang, Ziduo He, Siming Li, Ka Pu, Xuebin Guan, Baojin Chen, Shaoxin School of Information and Control Engineering Jilin Institude of Chemical Technology Jilin China School of Electrical and Information Engineeering Changchun Institude of Technology Jilin China School of Electrical and Information Engineering Changchun Institude of Technology Changchun China School of Information and Control Engineeering Jilin Institude of Chemical Technology Changchun China

ISBN: (纸本)9798350373318

To mitigate the impact of factors such as fluctuations in photovoltaic output power and load switching on the voltage of the DC bus, and to enhance the anti-interference capability and response speed of the energy router system, this paper proposes an energy router energy storage converter control strategy based on linear active disturbance rejection control. By designing a linear state error feedback control law and a linear extended state observer to estimate the total disturbance in real-time, adjusting the parameters of the controller using bandwidth method, and then controlling the voltage outer loop of the energy storage converter. Finally, the effectiveness and superiority of the controller are verified through simulation results. © 2024 IEEE.

关键词： Disturbance rejection

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