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Short-Term Household Load Forecasting Based on Attention Mechanism and CNN-ICPSO-LSTM

Energy Engineering 2024年第6期121卷 1473-1493页

作者： Lin Ma Liyong wang Shuang Zeng Yutong Zhao Chang Liu Heng Zhang qiong Wu Hongbo Ren New Energy Technology Center State Grid Beijing Electric Power Research InstituteBeijing100075China College of Energy and Mechanical Engineering Shanghai University of Electric PowerShanghai200090China

Accurate load forecasting forms a crucial foundation for implementing household demand response plans andoptimizing load scheduling. When dealing with short-term load data characterized by substantial fluctuations,a single prediction model is hard to capture temporal features effectively, resulting in diminished predictionaccuracy. In this study, a hybrid deep learning framework that integrates attention mechanism, convolution neuralnetwork (CNN), improved chaotic particle swarm optimization (ICPSO), and long short-term memory (LSTM), isproposed for short-term household load forecasting. Firstly, the CNN model is employed to extract features fromthe original data, enhancing the quality of data features. Subsequently, the moving average method is used for datapreprocessing, followed by the application of the LSTM network to predict the processed data. Moreover, the ICPSOalgorithm is introduced to optimize the parameters of LSTM, aimed at boosting the model’s running speed andaccuracy. Finally, the attention mechanism is employed to optimize the output value of LSTM, effectively addressinginformation loss in LSTM induced by lengthy sequences and further elevating prediction accuracy. According tothe numerical analysis, the accuracy and effectiveness of the proposed hybrid model have been verified. It canexplore data features adeptly, achieving superior prediction accuracy compared to other forecasting methods forthe household load exhibiting significant fluctuations across different seasons.

关键词： Short-term household load forecasting long short-term memory network attention mechanism hybrid deep learning framework

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Kuafu as Buri:Bridging Ancient Worlds——A Study of Transcultural Confucianism Through Mythological Narratives

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走进孔子（中英文） 2024年第4期 111-128页

作者： John qiong.wang School of Foreign Studies at Guangxi Minzu University

*** This article delves into the profound impact of Confucianism on the cultural,historical,and philosophical landscape of Chinese society,highlighting its role beyond the realms of governance and education to influence literary,historical,and mythological *** argues that Confucianism has been instrumental in shaping the literary and mythological landscapes,engaging in what is termed“Confucianisation,”a process that intertwines moral philosophy with cultural narratives,including myths(Yao 2000;Zhang 2015;Li 2010;wang 2017).

关键词： landscape education ism

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A Cross-matching Service for Data Center of Xinjiang Astronomical Observatory

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Research in Astronomy and Astrophysics 2024年第1期24卷 119-127页

作者： Hai-Long Zhang Jie wang Xin-Chen Ye Wan-qiong.wang Jia Li Ya-Zhou Zhang Xu Du Han Wu Ting Zhang Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China Key Laboratory of Radio Astronomy Chinese Academy of SciencesNanjing 210008China National Astronomical Data Center Beijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Cross-matching is a key technique to achieve fusion of multi-band astronomical catalogs. Due to different equipment such as various astronomical telescopes, the existence of measurement errors, and proper motions of the celestial bodies, the same celestial object will have different positions in different catalogs, making it difficult to integrate multi-band or full-band astronomical data. In this study, we propose an online cross-matching method based on pseudo-spherical indexing techniques and develop a service combining with high performance computing system(Taurus) to improve cross-matching efficiency, which is designed for the Data Center of Xinjiang Astronomical Observatory. Specifically, we use Quad Tree Cube to divide the spherical blocks of the celestial object and map the 2D space composed of R.A. and decl. to 1D space and achieve correspondence between real celestial objects and spherical patches. Finally, we verify the performance of the service using Gaia 3 and PPMXL catalogs. Meanwhile, we send the matching results to VO tools-Topcat and Aladin respectively to get visual results. The experimental results show that the service effectively solves the speed bottleneck problem of crossmatching caused by frequent I/O, and significantly improves the retrieval and matching speed of massive astronomical data.

关键词： virtual observatory tools astronomical databases:miscellaneous catalogs

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An Intelligent Sensor Data Preprocessing Method for OCT Fundus Image Watermarking Using an RCNN

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1549-1561页

作者： Jialun Lin qiong Chen College of Biomedical Information and Engineering Hainan Medical UniversityHaikou571199China TJ-YZ School of Network Science Haikou University of EconomicsHaikou571127China Department of Earth System Science Ministry of Education Key Laboratory for Earth SystemModelingInstitute forGlobal Change StudiesTsinghua UniversityBeijing100084China

Watermarks can provide reliable and secure copyright protection for optical coherence tomography(OCT)fundus *** effective image segmentation is helpful for promoting OCT image ***,OCT images have a large amount of low-quality data,which seriously affects the performance of ***,this paper proposes an effective segmentation method for OCT fundus image watermarking using a rough convolutional neural network(RCNN).First,the rough-set-based feature discretization module is designed to preprocess the input ***,a dual attention mechanism for feature channels and spatial regions in the CNN is added to enable the model to adaptively select important information for ***,the refinement module for enhancing the extraction power of multi-scale information is added to improve the edge accuracy in *** is compared with CE-Net and MultiResUNet on 83 gold standard 3D retinal OCT data *** average dice similarly coefficient(DSC)obtained by RCNN is 6%higher than that of *** average 95 percent Hausdorff distance(95HD)and average symmetric surface distance(ASD)obtained by RCNN are 32.4%and 33.3%lower than those of MultiResUNet,*** also evaluate the effect of feature discretization,as well as analyze the initial learning rate of RCNN and conduct ablation experiments with the four different *** experimental results indicate that our method can improve the segmentation accuracy of OCT fundus images,providing strong support for its application in medical image watermarking.

关键词： Watermarks image segmentation rough convolutional neural network attentionmechanism feature discretization

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Extended survival with metastatic pancreatic cancer under fruquintinib treatment after failed chemotherapy:Two case reports

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World Journal of Clinical Cases 2024年第7期12卷 1296-1304页

作者： Dan Wu qiong.wang Shuai Yan Xia Sun Ya Qin Ming Yuan Nan-Yao wang Xian-Ting Huang Department of Oncology Jiangyin People's HospitalWuxi 214400Jiangsu ProvinceChina

BACKGROUND Pancreatic cancer is a highly malignant *** decades of treatment progress,the current five-year survival rate for patients is still less than 10%.For later-line treatment,the treatment options are even more ***-angiogenic drugs can improve progression-free survival in patients with advanced pancreatic *** data show that fruquintinib might improve the prognosis of advanced pancreatic cancer by targeting angiogenesis and lymphopoiesis,improving the abnormal vascular structure,and modulating the tumour immune *** SUMMARY We present two cases of third-line fruquintinib monotherapy that brought an extraprolonged progress-free survival(PFS)of 10 *** 1 took adjuvant gemcitabine-based and first-line nab-paclitaxel-based chemotherapy and then used local radiotherapy combined with programmed cell death 1 receptor(PD-1).Each line lasted approximately 7 ***,the patient took third-line fruquintinib,which was followed by stable disease for 10 months,during which no additional adverse effect was *** patient later refused to take fruquintinib due to difficulty urinating and lower abdominal pain after the coronavirus disease 2019(COVID-19)*** patient died in February *** 2 also took two prior lines of chemotherapy and then local radiotherapy combined with *** confirmed disease progression,the patient experienced a continuous partial response after using fruquintinib monotherapy in the third *** the patient had COVID-19 in December 2022,fruquintinib was *** patient died in January 2023 due to disease *** Both cases achieved a PFS benefit from later-line single-agent fruquintinib *** its better safety profile,fruquintinib may be worth exploring and studying in more depth as a later-line treatment for pancreatic cancer patients.

关键词： Pancreatic cancer Anti-vascular endothelial growth factor receptor Fruquintinib Case report

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Impact of preoperative inflammatory and nutritional markers on the prognosis of patients with peritoneal metastasis of colorectal cancer

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World Journal of Gastrointestinal Oncology 2024年第9期16卷 3865-3874页

作者： Zhi-Jie Wu Bing Lan Jian Luo Ayniyazi Ameti Hui wang qiong-Yu Hu Department of General Surgery(Colorectal Surgery) The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhou 510655Guangdong ProvinceChina Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhou 510655Guangdong ProvinceChina Biomedical Innovation Center The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhou 510655Guangdong ProvinceChina Department of Anesthesiology Kashgar First People’s HospitalKashgar 844000Xinjiang Uygur Autonomous RegionChina Department of Anesthesiology The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhou 510000Guangdong ProvinceChina

BACKGROUND Identifying patients with peritoneal metastasis(PMs)of colorectal cancer(CRC)who will benefit from cytoreductive surgery and hyperthermic intraperitoneal chemotherapy is crucial before *** and nutritional indicators play essential roles in cancer development and *** To investigate the association of preoperative inflammatory and nutritional markers with prognosis in patients with *** We included 133 patients diagnosed with CRC-PM between July 2012 and July ***’demographics,overall survival(OS),and preoperative inflammatory and nutritional markers were *** Kaplan-Meier method and log-rank test were used to estimate *** Of the 133 patients,94(70.6%)had normal hemoglobin(Hb)and 54(40.6%)had a high neutrophil-to-lymphocyte ratio(NLR).The median OS(mOS)was significantly lower for patients with high NLR(7.9 months)than for those with low NLR(25.4 months;P=0.002).Similarly,patients with normal Hb had a longer mOS(18.5 months)than those with low Hb(6.3 months;P<0.001).Multivariate analysis identified age,carbohydrate antigen 199 levels,NLR,Hb,and peritoneal cancer index as independent predictors of *** on these findings,a nomogram was constructed,which demonstrated a good capacity for prediction,with a C-index of 0.715(95%confidence interval:0.684-0.740).Furthermore,the 1-and 2-year survival calibration plots showed good agreement between predicted and actual OS *** areas under the curve for the 1-and 2-year survival predictions of the nomogram were 0.6238 and 0.6234,*** High NLR and low Hb were identified as independent predictive risk factors for poor prognosis in patients with *** established nomogram demonstrated high accuracy in predicting OS for patients with CRC-PM,indicating its potential as a valuable prognostic tool for this patient population.

关键词： Colorectal cancer Peritoneal metastasis Neutrophil-to-lymphocyte ratio Hemoglobin Prognosis Overall survival

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Predictive value of neutrophil-to-lymphocyte ratio in coronary chronic total occlusion patients

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Journal of Geriatric Cardiology 2024年第5期21卷 542-549页

作者： Qian LI Yue YU Ya-qiong ZHOU Yi ZHAO Jin WU Yuan-Jing WU Bin DU Pei-Jian wang Tao ZHENG Department of Cardiovascular Medicine the First Affiliated Hospital of Xi’an Jiaotong UniversityXi’anChina Department of Cardiology First Affiliated Hospital of Chengdu Medical CollegeChengduChina Department of Neurology the First Affiliated Hospital of Xi’an Jiaotong UniversityXi’anChina

BACKGROUND The neutrophil to lymphocyte ratio(NLR)has been reported as a novel predictor for atherosclerosis and car-diovascular *** study aimed to determine the effects of NLR on long-term clinical outcomes of chronic total occlusion(CTO)*** A total of 670 patients with CTO who met the inclusion criteria were included at the end of the follow-up *** were divided into tertiles according to their baseline NLR levels at admission:low(n=223),intermediate(n=223),and high(n=224).The incidence of major adverse cardiac events(MACEs)during the follow-up period,including all-cause death,nonfatal myocardial infarction(MI),or ischemia-driven revascularization,were compared among the three *** Major adverse cardiac events were observed in 27 patients(12.1%)in the low tertile,40(17.9%)in the intermediate tertile,and 61(27.2%)in the high NLR tertile(P<0.001).Kaplan-Meier analysis demonstrated a significantly higher incidence of MACE,ischemia-driven coronary revascularization,non-fatal MI,and mortality in patients within the high tertile than those in the low and intermediate groups(all P<0.001).Multivariable COX regression analysis showed that the high tertile of baseline NLR level showed a strong association with the risk of MACE(hazard ratio[HR]=2.21;95%confidence interval[CI]:1.21-4.03;P=0.009),ischemia-driven coronary revascularization(HR=3.19;95%CI:1.56-6.52;P=0.001),MI(HR=2.61;95%CI:1.35-5.03;P=0.043)and mortality(HR=3.78;95%CI:1.65-8.77;P=0.001).CONCLUSION Our findings suggest that NLR is an inexpensive and readily available biomarker that can independently pre-dict cardiovascular risk in patients with CTO.

关键词： patients coronary occlusion

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Tough Semi-interpenetrating Polyvinylpyrrolidone/Polyacrylamide Hydrogels Enabled by Bioinspired Hydrogen-bonding Induced Phase Separation

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Chinese Journal of Polymer Science 2024年第5期42卷 591-603,I0006页

作者： qiong-Jun Xu Zhao-Yang Yuan Chang-Cheng wang Hao Liang Yu Shi Hai-Tao Wu Hu Xu Jing Zheng Jin-Rong Wu State Key Laboratory of Polymer Materials Engineering College of Polymer Science and EngineeringSichuan UniversityChengdu610065China

Semi-interpenetrating(semi-IPN)hydrogels formed by the continuous interpenetration of cross-linked polymer network and linear non-crosslinked polymer with multifunctionality are widely used in biomedical and other ***,the negative impact of linear polymer on the homogeneity of the cross-linked network often leads to a decrease in the mechanical properties of semi-IPN hydrogels and severely limits their ***,a bioinspired hydrogen-bonding induced phase separation strategy is presented to construct the tough semi-IPN polyvinylpyrrolidone/polyacrylamide hydrogels(named PVP/PAM hydrogels),including the linear polymer polyvinylpyrrolidone(PVP)and cross-linked polyacrylamide(PAM)*** resultant PVPx/PAM hydrogels exhibit unique phase separation induced by the hydrogen bonding between PVP and PAM and affected by the amount of substance of ***,the phase separation of PVPx/PAM hydrogels results in excellent mechanical properties with a strain of 2590%,tensile strength of 0.28 MPa and toughness of 2.17 MJ/m^(3).More importantly,the hydrogen bonding between PVP and PAM firstly disrupts to dissipate energy under external forces,so the PVPx/PAM hydrogels exhibit good self-recovery properties and outperform chemically cross-linked PAM hydrogels in impact resistance and damping *** is believed that the PVPx/PAM hydrogels with hydrogen-bonding induced phase separation possess more potential application prospects.

关键词： Tough Semi-interpenetrating networks Polyvinylpyrrolidone/polyacrylamide Hydrogels Phase separation

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STAT3 ameliorates truncated tau-induced cognitive deficits

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Neural Regeneration Research 2024年第4期19卷 915-922页

作者： Bingge Zhang Huali Wan Maimaitijiang Maierwufu Qian Liu Ting Li Ye He Xin wang Gongping Liu Xiaoyue Hong qiong Feng Department of Pathophysiology School of Basic Medicine and the Collaborative Innovation Center for Brain ScienceKey Laboratory of Ministry of Education of China and Hubei Province for Neurological DisordersTongji Medical CollegeHuazhong University of Science and Technology Department of Laboratory Medicine Guangdong ProvincialPeople's Hospital(Guangdong Academy of Medical Sciences)Southern Medical University Department of Laboratory Medicine Zhongnan Hospital of Wuhan University Department of Pathology Wuhan Children's HospitalTongji Medical CollegeHuazhong University of Science and Technology

Proteolytic cleavage of tau by asparagine endopeptidase(AEP)creates tau-N368 fragments,which may drive the pathophysiology associated with synaptic dysfunction and memory deterioration in the brain of Alzheimer’s disease ***,the molecular mechanisms of truncated tau-induced cognitive deficits remain *** suggests that signal transduction and activator of transcription-3(STAT3)is associated with modulating synaptic plasticity,cell apoptosis,and cognitive *** luciferase reporter assays,electrophoretic mobility shift assays,western blotting,and immunofluorescence,we found that human tau-N368 accumulation inhibited STAT3 activity by suppressing STAT3 translocation into the *** of STAT3 improved tau-N368-induced synaptic deficits and reduced neuronal loss,thereby improving the cognitive deficits in tau-N368 ***,in tau-N368 mice,activation of STAT3 increased N-methyl-D-aspartic acid receptor levels,decreased Bcl-2 levels,reversed synaptic damage and neuronal loss,and thereby alleviated cognitive deficits caused by *** together,STAT3 plays a critical role in truncated tau-related neuropathological *** indicates a new mechanism behind the effect of tau-N368 on synapses and memory ***3 can be used as a new molecular target to treat tau-N368-induced protein pathology.

关键词： Alzheimer’s disease apoptosis cognitive deficit memory neurodegenerative disease neuron loss N-methyl-D-aspartic acid receptor STAT3 synapse tau-N368

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Unveiling the Re,Cr,and I diffusion in saturated compacted bentonite using machine-learning methods

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Nuclear Science and Techniques 2024年第6期35卷 65-77页

作者： Zheng-Ye Feng Jun-Lei Tian Tao Wu Guo-Jun Wei Zhi-Long Li Xiao-qiong Shi Yong-Jia wang Qing-Feng Li Department of Engineering Huzhou UniversityHuzhou 313000China Institute of Theoretical Physics Shanxi UniversityTaiyuan 030006China College of Physics Science and Technology Shenyang Normal UniversityShenyang 110034China

The safety assessment of high-level radioactive waste repositories requires a high predictive accuracy for radionuclide diffusion and a comprehensive understanding of the diffusion *** this study,a through-diffusion method and six machine-learning methods were employed to investigate the diffusion of ReO_(4)^(−),HCrO_(4)^(−),and I−in saturated compacted bentonite under different salinities and compacted dry *** machine-learning models were trained using two *** dataset contained six input features and 293 instances obtained from the diffusion database system of the Japan Atomic Energy Agency(JAEA-DDB)and 15 *** other dataset,comprising 15,000 pseudo-instances,was produced using a multi-porosity model and contained eight input *** results indicate that the former dataset yielded a higher predictive accuracy than the *** gradient-boosting exhibited a higher prediction accuracy(R2=0.92)and lower error(MSE=0.01)than the other machine-learning *** addition,Shapley Additive Explanations,Feature Importance,and Partial Dependence Plot analysis results indicate that the rock capacity factor and compacted dry density had the two most significant effects on predicting the effective diffusion coefficient,thereby offering valuable insights.

关键词： Machine learning Effective diffusion coefficient Through-diffusion experiment Multi-porosity model Global analysis

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