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Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi,Vietnam

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Geo-Spatial Information Science 2020年第2期23卷 153-164页

作者： Khanh Giang Le Pei Liu liang-tay lin College of Construction and Development Feng Chia UniversityTaichungTaiwanChina Faculty of Civil Engineering University of Transport and CommunicationsHanoiVietnam

This study applied GIS-based statistical analytic techniques to investigate the influence of accident Severity Index(SI)on temporal-spatial patterns of accident hotspots related to the specific time intervals of day and *** Traffic Accident(RTA)data in 3 years(2015-2017)in Hanoi,Vietnam were used to analyze and test this ***,the RTA data were divided into four seasons in accordance with Hanoi's weather conditions and the time intervals such as the daytime,nighttime,or peak ***,the Kernel Density Estimation(KDE)method was applied to analyze hotspots according to the time intervals and ***,the results were presented by using the comap *** study considered both analyses with and without *** accident SI measures the seriousness of an *** approach method is to give higher weights to the more serious accidents,but not with the extremely high values calculated on a direct rate to the accident *** results showed that both analyses determined the relatively similar hotspots,but the rankings of some hotspots were quite different due to the integration of *** is better to take into account SI in determining RTA hotspots because the gained results are more precise and the rankings of hotspots are more *** there,the traffic authorities can easily understand the causes behind each accident and provide reasonable solutions to solve the most dangerous hotspots in case of limited budget and resources *** is also the first study about this issue in Vietnam,so the contribution of the article will help the traffic authorities easily solve this problem not only in Hanoi but also in other cities.

关键词： Road Traffic Accident(RTA) hotspot GIS temporal-spatial analysis Kernel Density Estimation(KDE) Severity Index(SI)

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Gas-Solid Flow,Combustion Characteristics,and Gas Emissions in a 75 t/h CFB Boiler Based on the CPFD Method

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Journal of Thermal Science 2025年第1期34卷 323-336页

作者： HUANG Xiankun BAI Zhang ZHU Xiaoli WANG Shuoshuo MU lin GONG liang College of New Energy China University of Petroleum(East China)Qingdao 266580China Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education School of Energy and Power EngineeringDalian University of TechnologyDalian 116024China

A 3D simulation using Computational Particle Fluid Dynamics(CPFD)methods was used to calculate coal combustion in a 75 t/h industrial-scale circulating fluidized bed(CFB)*** characteristics,gas-solid flow characteristics,and gaseous pollutant emissions of CFB boilers from combustion ignition to stable operation were systematically evaluated in this *** show that the temperature distribution is relatively uniform throughout the *** the combustion process unfolds within the boiler,the gas composition curve strikingly portrays the inverse correlation between CO_(2)and O_(2)*** the combustion reaction progresses,it becomes evident that the concentration of CO_(2)progressively increases,while the concentration of O_(2)concurrently *** inverse relationship underscores the fundamental combustion reaction,where carbon-based fuels react with oxygen to produce carbon dioxide and release ***,a comprehensive analysis has revealed that,from ignition to stable combustion,both nitric oxide(NO)and sulfur dioxide(SO_(2))emissions exhibit a declining *** reduction in pollutant generation is attributed to the improvement in combustion *** complete combustion leads to lower levels of unburned hydrocarbons,which are prone to NO ***,the sulfur content in the fuel is more efficiently oxidized to sulfur trioxide(SO_(3))or bound in sulfates,reducing SO_(2)*** steady state in the simulation,the SO_(2)mass flow rate varies significantly with the furnace height,gradually increasing from 0.07 kg·s^(-1)at 4 m at the bottom of the furnace to a peak of 0.078 kg·s^(-1)at 8 m in the center,and then decreasing to 0.06 kg·s^(-1)at 20m at the top of the furnace.

关键词： circulating fluidized bed particle flow combustion CPFD modeling

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Strength through unity: Alkaline phosphatase-responsive AIEgen nanoprobe for aggregation-enhanced multi-mode imaging and photothermal therapy of metastatic prostate cancer

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Chinese Chemical Letters 2025年第2期36卷 289-296页

作者： Ze Wang Hao liang Annan Liu Xingchen Li lin Guan Lei Li liang He Andrew K.Whittaker Bai Yang Quan lin State Key Laboratory of Supramolecular Structure and Materials College of Chemistry Jilin University Department of Endocrinology Lequn Branch the First Hospital of Jilin University Department of Urology the First Hospital of Jilin University Australian Institute for Bioengineering and Nanotechnology the University of Queensland

Prostate cancer(PCa) is characterized by high incidence and propensity for easy metastasis, presenting significant challenges in clinical diagnosis and treatment. Tumor microenvironment(TME)-responsive nanomaterials provide a promising prospect for imaging-guided precision therapy. Considering that tumor-derived alkaline phosphatase(ALP) is over-expressed in metastatic PCa, it makes a great chance to develop a theranostics system with ALP responsive in the TME. Herein, an ALP-responsive aggregationinduced emission luminogens(AIEgens) nanoprobe AMNF self-assembly was designed for enhancing the diagnosis and treatment of metastatic PCa. The nanoprobe exhibited self-aggregation in the presence of ALP resulted in aggregation-induced fluorescence, and enhanced accumulation and prolonged retention period at the tumor site. In terms of detection, the fluorescence(FL)/computed tomography(CT)/magnetic resonance(MR) multi-mode imaging effect of nanoprobe was significantly improved post-aggregation, enabling precise diagnosis through the amalgamation of multiple imaging modes. Enhanced CT/MR imaging can achieve assist preoperative tumor diagnosis, and enhanced FL imaging technology can achieve “intraoperative visual navigation”, showing its potential application value in clinical tumor detection and surgical guidance. In terms of treatment, AMNF showed strong absorption in the near infrared region after aggregation, which improved the photothermal treatment effect. Overall, our work developed an effective aggregation-enhanced theranostic strategy for ALP-related cancers.

关键词： AIE ALP responsive Enhanced multi-mode imaging Enhanced photothermal therapy Prostate cancer

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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 UniversityXi’an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots School of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049ShaanxiChina Department of Electrical Engineering and Automation Luoyang Institute of Science and TechnologyLuoyang 471023HenanChina School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018ZhejiangChina

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

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Posttraumatic stress symptoms among Chinese university students during the COVID-19 pandemic:Prevalence,correlates,and mental health help-seeking

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World Journal of Psychiatry 2025年第1期15卷 145-152页

作者： Rui-Yao Wu lin-Feng Ge Bao-liang Zhong Department of Psychiatry The Affiliated Wuhan Mental Health CenterTongji Medical College of Huazhong University of Science&TechnologyWuhan 430012Hubei ProvinceChina Department of Psychiatry Wuhan Mental Health CenterWuhan 430012Hubei ProvinceChina

BACKGROUND Revisiting the epidemiology of posttraumatic stress symptoms(PTSSs)among university students during the coronavirus disease 2019(COVID-19)pandemic as well as understanding the mental health help-seeking behavior of individuals with PTSSs has critical implications for public mental health strategies in future medical *** To investigate the prevalence and correlates of PTSSs among university students during the first wave of the COVID-19 pandemic in China and to examine mental health help-seeking behaviors among these *** A total of 2507 Chinese university students were recruited via snowball *** students completed the Seven-item Screening Scale for Post-traumatic Stress Disorder during the first wave of the COVID-19 pandemic in ***-graphic characteristics,pandemic-related characteristics,and mental health help-seeking behaviors of students with PTSSs were also *** The prevalence of PTSSs among the participants was 28.0%.Seven significant correlates of PTSSs were identified(odds ratio=1.23-3.65,P≤0.024):Female sex,being 19 years old or older,living with others or alone,a low level of family economic status,fair or poor interpersonal relationships,severe or very severe local pandemic,and having family members diagnosed with ***,only 3.28%of the students with PTSSs reported seeking help from mental health *** the 23 students who sought help from mental health specialists,13 opted for online or telephone-based psychological *** Our data suggest that there was a high risk of PTSSs among university students and a high level of unmet mental health needs during the COVID-19 *** delivery of mental health services online or via telephone is a promising approach to address these unmet needs.

关键词： Posttraumatic stress symptoms University students COVID-19 Mental health help-seeking China

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Development and application of an intelligent thermal state monitoring system for sintering machine tails based on CNN-LSTM hybrid neural networks

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Journal of Iron and Steel Research International 2025年第1期32卷 52-63页

作者： Da-lin Xiong Xin-yu Zhang Zheng-wei Yu Xue-feng Zhang Hong-ming Long liang-jun Chen Anhui Province Key Laboratory of Metallurgical Engineering&Resources Recycling Anhui University of TechnologyMa’anshan243002AnhuiChina School of Metallurgical Engineering Anhui University of TechnologyMa’anshan243032AnhuiChina School of Computer Science Anhui University of TechnologyMa’anshan243032AnhuiChina

Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking *** advance,the accuracy and comprehensiveness of sinter quality prediction,an intelligent flare monitoring system for sintering machine tails that combines hybrid neural networks integrating convolutional neural network with long short-term memory(CNN-LSTM)networks was *** system utilized a high-temperature thermal imager for image acquisition at the sintering machine tail and employed a zone-triggered method to accurately capture dynamic feature images under challenging conditions of high-temperature,high dust,and *** feature images were then segmented through a triple-iteration multi-thresholding approach based on the maximum between-class variance method to minimize detail loss during the segmentation *** the advantages of CNN and LSTM networks in capturing temporal and spatial information,a comprehensive model for sinter quality prediction was constructed,with inputs including the proportion of combustion layer,porosity rate,temperature distribution,and image features obtained from the convolutional neural network,and outputs comprising quality indicators such as underburning index,uniformity index,and FeO content of the *** accuracy is notably increased,achieving a 95.8%hit rate within an error margin of±*** the system is applied,the average qualified rate of FeO content increases from 87.24%to 89.99%,representing an improvement of 2.75%.The average monthly solid fuel consumption is reduced from 49.75 to 46.44 kg/t,leading to a 6.65%reduction and underscoring significant energy saving and cost reduction effects.

关键词： Sinter quality Convolutional neural network Long short-term memory Image segmentation FeO prediction

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Unraveling the role of long non‑coding RNAs in chronic heat stress‑induced muscle injury in broilers

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Journal of Animal Science and Biotechnology 2025年第1期16卷 206-217页

作者： Zhen Liu Yingsen Liu Tong Xing Jiaolong Li lin Zhang liang Zhao Yun Jiang Feng Gao College of Animal Science and Technology Key Laboratory of Animal Origin Food Production and Safety Guarantee of Jiangsu ProvinceJiangsu Collaborative Innovation Center of Meat Production and ProcessingQuality and Safety ControlNanjing Agricultural UniversityNanjing 210095People’s Republic of China Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering Institute of Animal Husbandry and Veterinary MedicineAnhui Academy of Agricultural SciencesHefei 230031China Institute of Agro‑Products Processing Jiangsu Academy of Agricultural SciencesNanjing 210014People’s Republic of China School of Food Science and Pharmaceutical Engineering Nanjing Normal UniversityNanjing 210023People’s Republic of China

Background Chronic heat stress(CHS)is a detrimental environmental stressor with a negative impact on the meat quality of ***,the underlying mechanisms are not fully *** study investigates the effects of CHS on long non-coding RNA(lncRNA)expression and muscle injury in broilers,with a focus on its implications for meat *** The results showed that CHS diminished breast muscle yield,elevated abdominal fat deposition,induced cellular apoptosis(P<0.05),and caused *** analysis revealed 151 differentially expressed(DE)lncRNAs when comparing the normal control(NC)and HS groups,214 DE lncRNAs when comparing the HS and PF groups,and 79 DE lncRNAs when comparing the NC and pair-fed(PF)*** eliminating the confounding effect of feed intake,68 lncRNAs were identified,primarily associated with cellular growth and death,signal transduc-tion,and metabolic ***,the apoptosis-related pathway P53,lysosomes,and the fibrosis-related gene TGF-β2 were significantly upregulated by *** These findings indicate that chronic heat stress induces cellular apoptosis and muscle injury through lncRNA,leading to connective tissue accumulation,which likely contributes to reduced breast muscle yield and meat quality in broilers.

关键词： Apoptosis Broiler Chronic heat stress LncRNA Muscle

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Super-high bed sintering for iron ores:variation and optimization of bed resistance

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Journal of Iron and Steel Research International 2025年第1期32卷 40-51页

作者： liang-ping Xu lin Xiong Hui-bo Liu Xi-duan Yang Ai-xiang Mao Pei-dun Chen Guang-hui Li School of Minerals Processing and Bioengineering Central South UniversityChangsha410083HunanChina Central Research Institute Baosteel Group Co.Ltd.Shanghai201900China Manufacturing Management Department Guangdong Zhongnan Iron and Steel Co.Ltd.Shaoguan512123GuangdongChina Technology and Development Center Shandong Taishan Iron and Steel Group Co.Ltd.Jinan271100ShandongChina

As the bed depth increases,sintering yield increases,but the productivity *** reveal the reasons for the decrease in productivity and explore targeted solutions,the bed resistance of mixtures,wet zone,and combustion zone was analyzed in the *** results showed that the decreased porosity of mixture resulted in the increased bed resistance by 160.56%when the bed depth increased from 600 to 1000 *** improving porosity of 1%by adding loosening bars with optimized size and distribution,the bed resistance decreased,and the productivity increased by 5%.The increase in bed depth increased the thickness of the wet zone from 120 to 680 mm and the resistance from 1.56 to 8.83 *** using a three-stage intensive mixer and pre-adding water for granulation,the moisture of mixture was reduced by 0.6%,and the sintering productivity increased by 4%.Besides,the high bed resistance is mainly caused by the increase in the thickness of the combustion zone from 31.9 to 132.7 mm,and the bed resistance increased from 0.70 to 5.62 *** bed resistance of the combustion zone at 900 mm was increased by 90.51%compared to 700 *** optimization of the distribution of coke breeze,the thickness of combustion zone at the lower layer decreased from 132.7 to 106.84 mm and permeability improved significantly.

关键词： Super-high bed sintering Bed resistance Permeability Productivity Wet zone Combustion zone

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Tianxiangdan(TXD) alleviates myocardial ischemia reperfusion-induced ferroptosis through the activation of estrogen receptor alpha(ERα)

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Chinese Journal of Natural Medicines 2025年第1期23卷 102-110页

作者： Yuanjia Yue Yu Li Xing Rong Zhao Ji Huimin Wang liang Chen lin Jiang Department of Pharmacy The Fourth College of Clinical Medicine Xinjiang Medical University Department of Pharmacy Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine State Key Laboratory of Pathogenesis Prevention and Treatment of High Incidence Diseases in Central Asia Xinjiang Medical University Department of Neurosurgery ICU Xinjiang Uygur Autonomous Region People's Hospital

Tianxiangdan（TXD）, a traditional Chinese herbal remedy, demonstrates efficacy in mitigating myocardial ischemia-reperfusion（I/R）-induced damage. This study employed network pharmacology to evaluate the therapeutic targets and mechanisms of TXD in treating I/R. Highperformance liquid chromatography-mass spectrometry（HPLC-MS） identified 86 compounds in TXD. Network pharmacological analysis predicted potential target genes and their modes of action. Cardiac function, ischaemic ST changes, lactate dehydrogenase（LDH）,malondialdehyde（MDA）, superoxide dismutase（SOD） activity, myocardial fiber, and infarct size were assessed using in vivo and in vitro I/R injury models. Estrogen receptor alpha（ERα）protein expression and estradiol（E2） levels were measured to confirm TXD's impact on estrogen levels and ERα expression. To examine if TXD reduces I/R injury through ERα, an AZD group(300 nmol·L-1AZD9496 and 15% TXD serum) was compared to a TXD group（15% TXD serum）. The study hypothesized that TXD upregulates the ERα-mediated iron metamorphosis pathway. I/R injury-induced ferroptosis was identified using a Fer-1 group(1.0 μmol·L-1Fer-1 and 15% TXD serum) to elucidate the potential association between ferroptosis and ERαproteins. A DCFH-DA probe detected reactive oxygen species（ROS） and Fe2+, while Western blotting assessed target protein expression. Both in vitro and in vivo experiments demonstrated that TXD attenuated I/R injury by reducing elevated ST-segment levels, improving cardiac injury biomarkers（LDH, MDA, and SOD）, alleviating pathological features, and preventing I/R-induced loss of cell viability in vitro. The effects and mechanisms of TXD on I/R injury-associated ferroptosis were investigated using I/R-induced H9c2 cells. The TXD group showed significantly decreased ROS and Fe2+levels, while the AZ group（treated with AZD9496） exhibited increased levels. The TXD group demonstrated enhanced expression of ERα and glutathione peroxidase 4（GPX4）, with reduced levels of P53

关键词： Estrogen receptor alpha Ferroptosis Myocardial ischemia-reperfusion injury Network pharmacology Tianxiangdan

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Electromagnetic wave absorption and corrosion resistance performance of carbon nanoclusters/Ce-Mn codoped barium ferrite composite materials

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 699-709页

作者： Bo Li lin Ma Sinan Li Jiewu Cui Xiaohui liang Wei Sun Pengjie Zhang Nan Huang Song Ma Zhidong Zhang Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China School of Metallurgy Engineering Liaoning Institute of Science and TechnologyBenxi 117004China School of Materials Science and Engineering Hefei University of TechnologyHefei 230009China Institute of Microelectronics Hangzhou Dianzi UniversityHangzhou 310018China BGRIMM Magnetic Materials&Technology Co. Ltd.Beijing 100160China

To realize the application of electromagnetic wave absorption(EWA)devices in humid marine environments,bifunctional EWA materials with better EWA capacities and anticorrosion properties have great exploration significance and systematic research *** utilizing the low-cost and excellent magnetic and stable chemical characteristics of barium ferrite(BaFe_(12)O_(19))and using the high dielectric loss and excellent chemical inertia of nanocarbon clusters,a new type of nanocomposites with carbon nanoclusters en-capsulating BaFe_(12)O_(19)was designed and synthesized by combining an impregnation method and a high-temperature calcination ***,Ce-Mn ions were introduced into the BaFe_(12)O_(19)lattice to improve the dielectric and magnetic properties of BaFe_(12)O_(19)cores significantly,and the energy band structure of the doped lattice and the orders of Ce replacing Fe sites were *** from Ce-Mn ion doping and carbon nanocluster encapsulation,the composite material exhibited excellent dual functionality of corrosion resist-ance and *** BaCe_(0.2)Mn_(0.3)Fe_(11.5)O_(19)-C(BCM-C)was calcined at 600°C,the minimum reflection loss of-20.1 dB was achieved at 14.43 *** Ku band’s effective absorption bandwidth of 4.25 GHz was achieved at an absorber thickness of only 1.3 *** BCM-C/polydimethylsiloxane coating had excellent corrosion resistance in the simulated marine environment(3.5wt%NaCl solution).The|Z|0.01Hz value of BCM-C remained at 106Ω·cm^(2)after 12 soaking *** successful preparation of the BaFe_(12)O_(19)composite en-capsulated with carbon nanoclusters provides new insights into the preparation of multifunctional absorbent materials and the fabrication of absorbent devices applied in humid marine environments in the future.

关键词： electromagnetic wave absorption anticorrosion barium ferrite cerium and manganese doping carbon nanoclusters

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