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Prediction of chlorophyll a concentration using HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir

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Water Science and Engineering 2014年第1期7卷 70-80页

作者： Dong-xing FAN Yu-ling HUANG lin-xu song De-fu LIU Ge ZHANG Biao ZHANG College of Hydraulic and Environmental Engineering China Three Gorges University College of Resources and Environment Sciences Hubei University of Technology

Since the impoundment of the Three Gorges Reservoir in 2003, algal blooms have frequently been observed in it. The chlorophyll a concentration is an important parameter for evaluating algal blooms. In this study, the chlorophyll a concentration in Xiangxi Bay, in the Three Gorges Reservoir, was predicted using HJ-1 satellite imagery. Several models were established based on a correlation analysis between in situ measurements of the chlorophyll a concentration and the values obtained from satellite images of the study area from January 2010 to December 2011. Chlorophyll a concentrations in Xiangxi Bay were predicted based on the established models. The results show that the maximum correlation is between the reflectance of the band combination of B4/（B2＋B3） and in situ measurements of chlorophyll a concentration. The root mean square errors of the predicted values using the linear and quadratic models are 18.49 mg/m3 and 18.52 mg/m3, respectively, and the average relative errors are 37.79% and 36.79%, respectively. The results provide a reference for water bloom prediction in typical tributaries of the Three Gorges Reservoir and contribute to large-scale remote sensing monitoring and water quality management.

关键词： chlorophyll a concentration H J-1 satellite remote sensing prediction correlation analysis Xiangxi Bay Three Gorges Reservoir

Inspires effective alternatives to backpropagation:predictive coding helps understand and build learning

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Neural Regeneration Research 2025年第11期20卷 3215-3216页

作者： Zhenghua xu Miao Yu Yuhang song School of Health Sciences and Biomedical Engineering Hebei University of TechnologyTianjinChina Department of Computer Science University of OxfordOxfordUK

Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.

关键词： assignment learning enable

Pyroptosis,ferroptosis,and autophagy in spinal cord injury:regulatory mechanisms and therapeutic targets

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Neural Regeneration Research 2025年第10期20卷 2787-2806页

作者： Qingcong Zheng Du Wang Rongjie lin Weihong xu Department of Spinal Surgery the First Affiliated Hospital of Fujian Medical UniversityFuzhouFujian ProvinceChina Arthritis Clinical and Research Center Peking University People’s HospitalBeijingChina Department of Orthopedic Surgery Fujian Medical University Union HospitalFuzhouFujian ProvinceChina

Regulated cell death is a form of cell death that is actively controlled by *** studies have shown that regulated cell death plays a key role after spinal cord *** and ferroptosis are newly discovered types of regulated cell deaths that have been shown to exacerbate inflammation and lead to cell death in damaged spinal ***,a complex form of cell death that is interconnected with various regulated cell death mechanisms,has garnered significant attention in the study of spinal cord *** injury triggers not only cell death but also cellular survival *** signaling pathways play pivotal roles in influencing the processes of both deterioration and repair in spinal cord injury by regulating pyroptosis,ferroptosis,and ***,this review aims to comprehensively examine the mechanisms underlying regulated cell deaths,the signaling pathways that modulate these mechanisms,and the potential therapeutic targets for spinal cord *** analysis suggests that targeting the common regulatory signaling pathways of different regulated cell deaths could be a promising strategy to promote cell survival and enhance the repair of spinal cord ***,a holistic approach that incorporates multiple regulated cell deaths and their regulatory pathways presents a promising multi-target therapeutic strategy for the management of spinal cord injury.

关键词： autophagy cell death ferroptosis inflammation pathological mechanisms pyroptosis regulated cell death regulatory pathways spinal cord injury therapeutic targets

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping lin Jun xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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

通过测量曲轴飞轮系统扭振模态特性诊断曲轴裂纹

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内燃机学报 1989年第3期7卷 215-222页

作者：林大渊王旭宋学仁天津大学

本文提出了扭振特性对局部结构裂纹变化敏感度的概念和数学定义,推导了模态特性、频响特性对曲轴局部结构参数的敏感度公式。通过理论分析和模态测试比较了多个振动特征量对曲轴裂纹的感应能力,推荐扭振模态阻尼(阻尼衰减因子)、频响函... 详细信息

本文提出了扭振特性对局部结构裂纹变化敏感度的概念和数学定义,推导了模态特性、频响特性对曲轴局部结构参数的敏感度公式。通过理论分析和模态测试比较了多个振动特征量对曲轴裂纹的感应能力,推荐扭振模态阻尼(阻尼衰减因子)、频响函数模态峰、自谱模态峰为裂纹故障最佳评判量,并对曲轴模拟裂纹进行了诊断。

关键词：发动机扭振特性曲轴裂纹

双水平气道无创正压通气治疗COPD合并呼吸衰竭的有效性和安全性分析

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中国现代药物应用 2017年第2期11卷 110-112页

作者：徐林松朝阳市中心医院呼吸科 122000

目的分析双水平气道无创正压通气(Bi NPAP)在慢性阻塞性肺疾病(COPD)合并呼吸衰竭治疗中应用的有效性和安全性。方法 110例确诊为COPD合并呼吸衰竭的患者,依据通气功能改善方式分为兴奋剂组(基础治疗+呼吸兴奋类药物静脉滴注治疗)和Bi N... 详细信息

目的分析双水平气道无创正压通气(Bi NPAP)在慢性阻塞性肺疾病(COPD)合并呼吸衰竭治疗中应用的有效性和安全性。方法 110例确诊为COPD合并呼吸衰竭的患者,依据通气功能改善方式分为兴奋剂组(基础治疗+呼吸兴奋类药物静脉滴注治疗)和Bi NPAP组(基础治疗+Bi NPAP治疗),各55例。观察两组患者治疗前后呼吸功能评价指标(呼吸频率、血气分析)变化,并比较两组住院时间、预后效果。结果与治疗前比较,两组患者治疗2周后各呼吸功能评价指标均改善,且Bi NPAP组显著优于兴奋剂组,差异均具有统计学意义(P0.05);Bi NPAP组治疗总有效率为89.09%,高于兴奋剂组的69.09%,差异具有统计学意义(P<0.05)。结论 Bi NPAP对于COPD合并呼吸衰竭患者的呼吸频率、血气分析指标和临床症状均有改善作用,且不良反应少,是COPD合并呼吸衰竭安全、有效的新型治疗技术。

关键词：双水平气道无创正压通气慢性阻塞性肺疾病呼吸衰竭

布地奈德雾化吸入方式治疗慢性阻塞性肺疾病的CAT评分及肺功能影响

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中国医学创新 2017年第8期14卷 60-63页

作者：徐林松辽宁省朝阳市中心医院辽宁朝阳122000

目的:分析布地奈德吸入剂在慢性阻塞性肺疾病(chroni cobstructive pulmonary disease,COPD)治疗中的价值。方法:选取本院治疗的170例COPD患者,根据药物方案选择情况分为对照组(常规疗法+硫酸特布他林)和观察组(常规疗法+硫酸特布他林+... 详细信息

目的:分析布地奈德吸入剂在慢性阻塞性肺疾病(chroni cobstructive pulmonary disease,COPD)治疗中的价值。方法:选取本院治疗的170例COPD患者,根据药物方案选择情况分为对照组(常规疗法+硫酸特布他林)和观察组(常规疗法+硫酸特布他林+布地奈德雾化吸入),每组85例。干预前后对所有患者进行CAT评分(COPD Assessment Test,CAT)、肺功能检测,同时科学评价临床疗效和药物安全性。结果:完成治疗后,两组肺功能指标、CAT评分均显著优于治疗前(P0.05)。结论:布地奈德雾化吸入能够通过改善COPD的CAT评分和肺功能发挥显著治疗效果,且使用安全性可靠,值得临床借鉴。

关键词：布地奈德雾化吸入慢性阻塞性肺疾病肺功

Recent Advances in Fibrous Materials for Hydroelectricity Generation

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Nano-Micro Letters 2025年第2期17卷 109-133页

作者： Can Ge Duo xu Xiao Feng Xing Yang Zheheng song Yuhang song Jingyu Chen Yingcun Liu Chong Gao Yong Du Zhe Sun Weilin xu Jian Fang College of Textile and Clothing Engineering Soochow UniversitySuzhou 215123People’s Republic of China National Engineering Laboratory for Modern Silk Soochow UniversitySuzhou 215123People’s Republic of China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200People’s Republic of China Institute of Functional Nano&Soft Materials(FUNSOM) Soochow UniversitySuzhou 215123People’s Republic of China Department of Electrical and Computer Engineering University of MassachusettsAmherstMA 01003USA Department of Materials Imperial College LondonSouth Kensington CampusLondon SW72AZUK College of Textile Science and Engineering Zhejiang Sci-Tech UniversityHangzhou 310018People’s Republic of China School of Materials Science and Engineering Shanghai Institute of Technology100 Haiquan RoadShanghai 201418People’s Republic of China

Depleting fossil energy sources and conventional polluting power generation pose a threat to sustainable *** generation from ubiquitous and spontaneous phase transitions between liquid and gaseous water has been considered a promising strategy for mitigating the energy *** materials with unique flexibility,processability,multifunctionality,and practicability have been widely applied for fibrous materials-based hydroelectricity generation(FHG).In this review,the power generation mechanisms,design principles,and electricity enhancement factors of FHG are first ***,the fabrication strategies and characteristics of varied constructions including 1D fiber,1D yarn,2D fabric,2D membrane,3D fibrous framework,and 3D fibrous gel are ***,the advanced functions of FHG during water harvesting,proton dissociation,ion separation,and charge accumulation processes are analyzed in ***,the potential applications including power supply,energy storage,electrical sensor,and information expression are also ***,some existing challenges are considered and prospects for future development are sincerely proposed.

关键词： Hydroelectricity Fibrous material Streaming potential Ion diffusion