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Xuebijing improves intestinal microcirculation dysfunction in septic rats by regulating the VEGF-A/PI3K/Akt signaling pathway

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World Journal of Emergency Medicine 2024年第3期15卷 206-213页

作者： A-ling Tang yan Li Li-chao Sun Xiao-yu Liu Nan Gao Sheng-tao yan Guo-qiang Zhang Department of Emergency China-Japan Friendship HospitalBeijing 100029China Graduate School Beijing University of Chinese MedicineBeijing 100105China

BACKGROUND:This study aims to explore whether Xuebijing(XBJ) can improve intestinal microcirculation dysfunction in sepsis and its ***:A rat model of sepsis was established by cecal ligation and puncture(CLP).A total of 30 male SD rats were divided into four groups:sham group,CLP group,XBJ + axitinib group,and XBJ *** was intraperitoneally injected 2 h before *** data(blood pressure and heart rate) were *** intestinal microcirculation data of the rats were analyzed via microcirculation ***-linked immunosorbent assay(ELISA) kits were used to detect the serum levels of interleukin-6(IL-6),C-reactive protein(CRP),and tumor necrosis factor-α(TNF-α) in the *** analysis and transmission electron microscopy were used to analyze the injury of small intestinal microvascular endothelial cells and small intestinal mucosa in *** expression of vascular endothelial growth factor A(VEGF-A),phosphoinositide 3-kinase(PI3K),phosphorylated PI3K(p-PI3K),protein kinase B(Akt),and phosphorylated Akt(p-Akt) in the small intestine was analyzed via Western ***:XBJ improved intestinal microcirculation dysfunction in septic rats,alleviated the injury of small intestinal microvascular endothelial cells and small intestinal mucosa,and reduced the systemic inflammatory ***,XBJ upregulated the expression of VEGF-A,p-PI3K/total PI3K,and p-Akt/total Akt in the rat small ***:XBJ may improve intestinal microcirculation dysfunction in septic rats possibly through the VEGF-A/PI3K/Akt signaling pathway.

关键词： Sepsis Xuebijing Vascular endothelial growth factor A Microcirculation Rat Phosphoinositide 3-kinase Protein kinase B

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RGB-guided hyperspectral image super-resolution with deep progressive learning

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 679-694页

作者： tao Zhang Ying Fu Liwei Huang Siyuan Li Shaodi You Chenggang yan School of Computer Science and Technology Beijing Institute of TechnologyBeijingChina Satellite Information Intelligent Processing and Application Research Laboratory Beijing Institute of Remote SensingBeijingChina Key Laboratory of Spectral Imaging Technology Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of SciencesXi'anChina Institute of Informatics University of AmsterdamAmsterdamNetherlands School of Communication Engineering Hangzhou Dianzi UniversityHangzhouChina

Due to hardware limitations,existing hyperspectral(HS)camera often suffer from low spatial/temporal ***,it has been prevalent to super-resolve a low reso-lution(LR)HS image into a high resolution(HR)HS image with a HR RGB(or mul-tispectral)image *** approaches for this guided super-resolution task often model the intrinsic characteristic of the desired HR HS image using hand-crafted ***,researchers pay more attention to deep learning methods with direct supervised or unsupervised learning,which exploit deep prior only from training dataset or testing *** this article,an efficient convolutional neural network-based method is presented to progressively super-resolve HS image with RGB image ***-ically,a progressive HS image super-resolution network is proposed,which progressively super-resolve the LR HS image with pixel shuffled HR RGB image ***,the super-resolution network is progressively trained with supervised pre-training and un-supervised adaption,where supervised pre-training learns the general prior on training data and unsupervised adaptation generalises the general prior to specific prior for variant testing *** proposed method can effectively exploit prior from training dataset and testing HS and RGB images with spectral-spatial *** has a good general-isation capability,especially for blind HS image *** experimental results show that the proposed deep progressive learning method out-performs the existing state-of-the-art methods for HS image super-resolution in non-blind and blind cases.

关键词： computer vision deep neural networks image processing image resolution unsupervised learning

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Analysis of the impact of immunotherapy efficacy and safety in patients with gastric cancer and liver metastasis

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World Journal of Gastrointestinal Surgery 2024年第3期16卷 700-709页

作者： Kai Liu chun-Xiao Wu Hui Liang tao Wang Ji-Yuan Zhang Xiao-tao Wang Department of Radiation and Oncology Traditional Chinese Hospital of Lu’an affiliated to Anhui University of Traditional Chinese MedicineLu’an 237000Anhui ProvinceChina Department of Gastroenterology Ehu branch of Xishan People’s Hospital of Wuxi CityWuxi 214116Jiangsu ProvinceChina Department of Gastrointestinal Surgery The First Affiliated Hospital of Guangzhou University of Traditional Chinese MedicineGuangzhou 510400Guangdong ProvinceChina Department of Gastrointestinal Surgery Hunan Provincial People’s HospitalChangsha 410002Hunan ProvinceChina Department of Traditional Chinese medicine Ehu branch of Xishan People’s Hospital of Wuxi CityWuxi 214116Jiangsu ProvinceChina

BACKGROUND Gastric cancer(GC)is the fifth most common type of cancer and has the fourth highest death rate among all *** is a lack of studies examining the impact of liver metastases on the effectiveness of immunotherapy in individuals diagnosed with *** To investigate the influence of liver metastases on the effectiveness and safety of immunotherapy in patients with advanced *** This retrospective investigation collected clinical data of patients with advanced stomach cancer who had immunotherapy at our hospital from February 2021 to January *** baseline attributes were compared using either the Chi-square test or the Fisher exact probability *** chi-square test and Kaplan-Meier survival analysis were employed to assess the therapeutic efficacy and survival duration in GC patients with and without liver *** The analysis comprised 48 patients diagnosed with advanced GC,who were categorized into two groups:A liver metastasis cohort(n=20)and a non-liver metastatic cohort(n=28).Patients with liver metastasis exhibited a more deteriorated physical condition compared to those without liver *** objective response rates in the cohort with metastasis and the cohort without metastasis were 15.0%and 35.7%(P>0.05),***,the disease control rates in these two cohorts were 65.0%and 82.1%(P>0.05),*** median progression-free survival was 5.0 months in one group and 11.2 months in the other group,with a hazard ratio of 0.40 and a significance level(P)less than *** median overall survival was 12.0 months in one group and 19.0 months in the other group,with a significance level(P)greater than *** Immunotherapy is less effective in GC patients with liver metastases compared to those without liver metastasis.

关键词： Gastric cancer Spread of cancer to the liver Treatment with immunotherapy Effectiveness of treatment

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Progress and prospects of graphene-based materials in lithium batteries

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Rare Metals 2024年第5期43卷 1886-1905页

作者： Shen Lai tao Huang Pei Liu Hong-Bin Wang Shi-chun yang Xin-Hua Liu Kai yang Qian-Ling Zhang Jian-Hong Liu Jiang-tao Hu Graphene Composite Research Center College of Chemistry and Environmental EngineeringShenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China Shenzhen Eigen-Equation Graphene Technology Co.Ltd Shenzhen518060China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China Department of Electrical and Electronic Engineering Advanced Technology InstituteUniversity of SurreyGuildfordSurrey GU27XHUK

Reasonable design and applications of graphene-based materials are supposed to be promising ways to tackle many fundamental problems emerging in lithium batteries,including suppression of electrode/electrolyte side reactions,stabilization of electrode architecture,and improvement of conductive ***,extensive fundamental research on this aspect has been performed so ***,when it comes to large-scale industrial applications,the utilization of graphene-based materials progresses at a very slow ***,there presents a severe technological decoupling between academic research and industrial application,and there is an urgent need to link ***,in order to address current issues of graphene-based materials used in lithium batteries,we present their latest advancements with stateof-the-art *** applications of graphenebased materials in practical lithium batteries are highlighted and predicted to bridge the gap between the academic progress and industrial manufacture,thereby paving the way for accelerating the development of graphenebased material as well as lithium battery industry.

关键词： Lithium batteries Graphene-based materials Academic research Industrial application Development direction

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Fabricating a smart clothing system based on strain-sensing yarn and novel stitching technology for health monitoring

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Science China(Technological Sciences) 2024年第2期67卷 587-596页

作者： TANG Jian WU YuTing MA ShiDong ZHANG YuMin XU RuoJie yan tao PAN ZhiJuan College of Textile and Clothing Engineering Soochow UniversitySuzhou 215123China National Engineering Laboratory for Modern Silk Suzhou 215123China

Various yarn-shaped flexible strain sensors have recently been ***,research is lacking on additive manufacturing for smart clothing for integrating yarn sensors with commercial ***,a strain-sensing yarn is sewn into a piece of fabric through a novel stitching technique,and the influence of the stitching method and needle pitch on the sensing performance is investigated using finite element analysis(FEA).The sensing performance could be improved when the sensing yarn is self-locked in the fabric at the needle eyes,and the needle pitch was reduced to 0.5 cm,which is attributed to the enhanced stress and strain ***,the composite sensing fabric featured outstanding performance,including a low detection limit(0.1%),rapid response(280 ms),excellent durability(10000 cycles),and high stability(negligible drift and frequency independence).In addition,the remarkable wear resistance,washability,and anti-interference to ambient humidity and perspiration were ***,the optimal stitch trace lengths of sensing yarn for detecting elbow motion,breathing,and heartbeats are ***,a smart clothing system composed of smart clothing,data acquisition unit,and mobile APP was developed to simultaneously detect human movement and physiological *** work provides a reference to produce intelligent garments based on yarn sensors for health monitoring.

关键词： strain-sensing yarn composite sensing fabric smart clothing system stitching technology health monitoring

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One-step conversion of methane and formaldehyde to ethanol over SA-FLP dual-active-site catalysts: A DFT study

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Chinese Chemical Letters 2024年第4期35卷 544-548页

作者： tao Ban Xi-yang Yu Hai-Kuo Tian Zheng-Qing Huang chun-Ran Chang Shaanxi Key Laboratory of Energy Chemical Process Intensification School of Chemical Engineering and TechnologyXi'an Jiaotong UniversityXi'an 710049China Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization School of Chemistry and Chemical EngineeringYulin UniversityYulin 719000China

One-step conversion of methane and formaldehyde into ethanol is a 100% atom-efficient process for carbon resources utilization and environment protection but still faces eminent challenges due to the lacking of efficient catalysts. Therefore, developing active and stable catalysts is crucial for the co-conversion of methane and formaldehyde. Herein, twelve kinds of “Single-Atom”-“Frustrated Lewis Pair”(SA-FLP)dual-active-site catalysts are designed for the direct conversion of methane and formaldehyde to ethanol based on density functional theory(DFT) calculations and microkinetic simulations. The results show that the SA-FLP dual active sites can simultaneously activate methane at the SA site and activate formaldehyde at the FLP site. Among the twelve designed SA-FLP catalysts, Fe1-FLP shows the best performance in the co-conversion of methane and formaldehyde to ethanol with the rate-determining barrier of 1.15 e *** is proved as the main product with the turnover frequency of 1.32 × 10^(-4)s^(-1)at 573 K and 3 *** work provides a universal strategy to design dual active sites on metal oxide materials and offers new insights into the effective conversion of methane and formaldehyde to desired C_(2) chemicals.

关键词： Single-atom Frustrated Lewis pairs Methane conversion Dual active sites Ethanol synthesis

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过滤电弧沉积非晶金刚石薄膜的光谱椭偏研究

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光谱学与光谱分析 2006年第2期26卷 203-207页

作者：朱嘉琦韩杰才陶艳春姜春竹哈尔滨工业大学复合材料与结构研究所黑龙江哈尔滨150080 吉林大学超分子结构与材料教育部重点实验室吉林长春130012

为了深入理解过滤阴极电弧沉积非晶金刚石薄膜的光学性质,利用光谱椭偏仪研究了薄膜光学常数随测试偏振光波长变化的谱学关系,进而分析了薄膜折射率、消光系数和光学带隙与沉积能量之间的变化规律。实验表明,非晶金刚石薄膜的折射率高... 详细信息

为了深入理解过滤阴极电弧沉积非晶金刚石薄膜的光学性质,利用光谱椭偏仪研究了薄膜光学常数随测试偏振光波长变化的谱学关系,进而分析了薄膜折射率、消光系数和光学带隙与沉积能量之间的变化规律。实验表明,非晶金刚石薄膜的折射率高于金刚石晶体的折射率,薄膜的吸收光谱在高吸收区可以用抛物线型函数描述,并由此计算Tauc带隙。随着波长向红外延伸,非晶金刚石薄膜的消光系数渐次降低并趋近于零,光学常数因沉积能量变化而实现的调整幅度也逐渐缩小。随着衬底偏压的增加,折射率和光学带隙都是先升高后减小,并在负偏压为80 V时有最大值;而消光系数却是先减小再升高,在负偏压为80 V时有最小值。

关键词：非晶金刚石光谱椭偏过滤阴极真空电弧光学性能

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Achieving strength-ductility synergy in novel paramagnetic Fe-based medium-entropy alloys through deep cryogenic deformation

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Rare Metals 2024年第9期43卷 4493-4507页

作者： Hu-Wen Ma yan-chun Zhao Li Feng Tian-Zeng Liu Zhi-Qi Yu Bo Jin Wang-chun Duan Peter K.Liaw Dong Ma State Key Laboratory of Advanced Processing and Recycling of Non-Ferrous Metals Lanzhou University of TechnologyLanzhou 730050China Wenzhou Pump and Valve Engineering Research Institute Lanzhou University of TechnologyWenzhou 325105China Iron and Steel Research Institute Jiuquan Iron and Steel CorporationJiayuguan 735100China Lanzhou Resources and Environment Voc-Tech University Lanzhou 730123China Department of Materials Science and Engineering The University of TennesseeKnoxvilleTN 37996-2200USA Neutron Science Center Songshan Lake Materials LaboratoryDongguan 523808China

Cryogenic pre-deformation treatment has been widely used to effectively improve the comprehensive mechanical properties of steels and novel ***,the dislocation evolution and phase transformation induced by different degrees of deep cryogenic deformation are not yet fully *** this study,the effects of multiple cryogenic pre-treatments on the mechanical properties and deformation mechanisms of a paramagnetic Fe_(63.3)Mn_(14-)Si_(9.1)Cr_(9.8)C_(3.8)medium-entropy alloy(MEA)were investigated,leading to the discovery of a pretreated MEA that exhibits exceptional mechanical properties,including a fracture strength of 3.0 GPa,plastic strain of 26.1%and work-hardening index of *** addition,X-ray diffraction(XRD)and transmission electron microscopy(TEM)analyses revealed that multiple cryogenic pre-deformation treatments significantly increased the dislocation density of the MEA(from 9×10^(15)to 4×10^(16)m^(-2)after three pretreatments),along with a transition in the dislocation type from predominantly edge dislocations to mixed dislocations(including screw-and edge-type dislocations).Notably,this pretreated MEA retained its paramagnetic properties(μ_(r)<1.0200)even after *** calculations showed that cryogenic pretreatment can significantly reduce the stacking fault energy of the MEA by a factor of approximately four(i.e.,from 9.7 to2.6 m J·m^(-2)),thereby activating the synergistic effects of transformation-induced plasticity,twinning-induced plasticity and dislocation strengthening *** synergistic effects lead to simultaneous strength and ductility enhancement of the MEA.

关键词： Deep cryogenic transformation Iron-based medium-entropy alloys Dislocation evolution Phase transformation Stacking fault energy

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Effect of cardiac rehabilitation care after coronary intervention on cardiac function recovery and negative mood in patients with myocardial infarction

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World Journal of Clinical Cases 2024年第1期12卷 59-67页

作者： Ming yang Yuan-tao Huang Xi-Wen Hu chun-Ling Wu Division of Cardiovascular First Ward Departments of Internal MedicineLiyuan HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430077Hubei ProvinceChina Division of Cardiovascular First Ward Departments of Internal MedicineJianli People's HospitalJianli 433300Hubei ProvinceChina Department of Integrated Traditional Chinese and Western Medicine People's Hospital of Dongxihu DistrictWuhan 430040Hubei ProvinceChina

BACKGROUND Cardiovascular disease,particularly myocardial infarction(MI)profound impact on patients'quality of life and places a substantial burden on the healthcare and economy *** in medical technology have led to the emer-gence of coronary intervention as an essential method for treating *** To assess the effects of cardiac rehabilitation care on cardiac function recovery and negative emotions in MI after coronary *** This study included a total of 180 patients with MI during the period from June 2022 to July *** patients were divided into two groups:An observation group,which receiving cardiac rehabilitation care;a control group,which re-ceiving conventional *** comparing multiple observation indicators such as cardiac function indicators,blood pressure,exercise tolerance,occurrence of adverse cardiac events,and negative emotion scores between the two groups of *** the data were analyzed and compared between two *** There were 44 males and 46 females in the observation group with an average age of 36.26±9.88 yr;there were 43 males and 47 females in the control group,with an average age of 40.87±10.5 *** receiving the appropriate postoperative nursing measures,the results of the observation group showed significant improvement in several indicators compared with the control *** of cardiac function,such as left ventricular end-diastolic internal diameter and left ventricular ejection fraction were significantly better in the observation group than in the control group(P<0.05).Exercise endurance assessment showed that the 6-minute walking test distance was significantly increased in the patients of the observation group(P<0.01).In addition,the incidence of adverse cardiac events was significantly lower in the observation group,and negative mood scores were significantly reduced(P<0.05).CONCLUSION Cardiac rehabilitation care after coronary intervention has a significant positive

关键词： Myocardial infarction Coronary artery intervention Cardiac rehabilitation Cardiac function recovery Negative emotions

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An improved transfer learning strategy for short-term cross-building energy prediction usingdata incremental

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Building Simulation 2024年第1期17卷 165-183页

作者： Guannan Li Yubei Wu Chengchu yan Xi Fang tao Li Jiajia Gao Chengliang Xu Zixi Wang School of Urban Construction Wuhan University of Science and TechnologyWuhan 430065China Anhui Province Key Laboratory of Intelligent Building and Building Energy-saving Anhui Jianzhu UniversityHefei 230601China State Key Laboratory of Green Building in Western China Xi'an University of Architecture and TechnologyXi'an 710055China College of Urban Construction Nanjing Tech UniversityNo.200North Zhongshan RoadNanjing 210009China Key Laboratory of Low-grade Energy Utilization Technologies and Systems(Chongqing University) Ministry of Education of ChinaChongqing UniversityChongqing 400044China College of Civil Engineering Hunan UniversityChangsha 410082China Hubei Provincial Engineering Research Center of Urban Regeneration Wuhan University of Science and TechnologyWuhan 430065China

The available modelling data shortage issue makes it difficult to guarantee the performance of data-driven building energy prediction(BEP)models for both the newly built buildings and existing information-poor *** knowledge transfer learning(KTL)and data incremental learning(DIL)can address the data shortage issue of such *** new building scenarios with continuous data accumulation,the performance of BEP models has not been fully investigated considering the data accumulation ***,which can learn dynamic features from accumulated data adapting to the developing trend of new building time-series data and extend BEP model's knowledge,has been rarely *** studies have shown that the performance of KTL models trained with fixed data can be further improved in scenarios with dynamically changing ***,this study proposes an improved transfer learning cross-BEP strategy continuously updated using the coarse data incremental(CDI)*** hybrid KTL-DIL strategy(LSTM-DANN-CDI)uses domain adversarial neural network(DANN)for KLT and long short-term memory(LSTM)as the Baseline BEP *** evaluation is conducted to systematically qualify the effectiveness and applicability of KTL and improved ***-world data from six-type 36 buildings of six types are adopted to evaluate the performance of KTL and KTL-DIL in data-driven BEP tasks considering factors like the model increment time interval,the available target and source building data *** with LSTM,results indicate that KTL(LSTM-DANN)and the proposed KTL-DIL(LSTM-DANN-CDI)can significantly improve the BEP performance for new buildings with limited *** with the pure KTL strategy LSTM-DANN,the improved KTL-DIL strategy LSTM-DANN-CDI has better prediction performance with an average performance improvement ratio of 60%.

关键词： building energy prediction(BEP) cross-building data incremental learning(DIL) domain adversarial neural network(DANN) knowledge transfer learning(KTL)

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