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Composite-mask GAN based on refined optical flow and disparity map for SLAM visual odometry

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Optoelectronics Letters 2025年

作者： ji Yuehui jiANG jingwei LIU Junjie SONG Yu GAO Qiang School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Application for Complex Systems

Although deep learning methods have been widely applied in slam visual odometry over the past decade with impressive improvements， the accuracy remains limited in complex dynamic environments. In this paper， a composite mask-based generative adversarial network is introduced to predict camera motion and binocular depth maps. Specifically， a perceptual generator is constructed to obtain the corresponding parallax map and optical flow from between two neighboring frames. Then， an iterative pose improvement strategy is proposed to improve the accuracy of pose estimation. Finally， a composite mask is embedded in the discriminator to sense structural deformation in the synthesized virtual image， thereby increasing the overall structural constraints of the network model， improving the accuracy of camera pose estimation， and reducing drift issues in the Visual Odometer. Detailed quantitative and qualitative evaluations on the KITTI dataset show that the proposed framework outperforms existing conventional， supervised learning and unsupervised depth VO methods， providing better results in both pose estimation and depth estimation.

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FWENet:a deep convolutional neural network for flood water body extraction based on SAR images

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International Journal of Digital Earth 2022年第1期15卷 345-361页

作者： jingming Wang Shixin Wang Futao Wang Yi Zhou Zhenqing Wang jianwan ji yibing Xiong Qing Zhao Aerospace Information Research Institute Chinese Academy of SciencesBeijingPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China Hainan Research Institute Aerospace Information Research InstituteChinese Academy of SciencesSanyaPeople’s Republic of China School of Geography Science and Geomatics Engineering Suzhou University of Science and TechnologySuzhouPeople’s Republic of China

As one of the most severe natural disasters in the world,floods caused substantial economic losses and casualties every *** and accurate acquisition of flood inundation extent could provide technical support for relevant departments in the field of flood emergency response and disaster *** the accuracy of existing research works extracting flood inundation extent based on Synthetic Aperture Radar(SAR)images and deep learning methods is relatively low,this study utilized Sentinel-1 SAR images as the data source and proposed a novel model named flood water body extraction convolutional neural network(FWENet)for flood information *** three classical semantic segmentation models(UNet,Deeplab v3 and UNet++)and two traditional water body extraction methods(Otsu global thresholding method and Object-Oriented method)were compared with the FWENet ***,this paper analyzed the water body area change situations of Poyang *** main results of this paper were as follows:Compared with other five water body extraction methods,the FWENet model achieved the highest water body extraction accuracy,its F1 score and mean intersection over union(mIoU)were 0.9871 and 0.9808,*** study could guarantee the subsequent research on flood extraction based on SAR images.

关键词： Deep learning flood water body extraction SAR Poyang Lake

Influence of band gap and different defects on the performance of Cu（In， Ga）Se2 solar cells

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Optoelectronics Letters 2025年

作者： LU Yahan XUE Yuming DAI Hongli WANG Luoxin LI Weiwei ji Licui Institute of New Energy Intelligence Equipment， School of Integrated Circuit Science and Engineering， Tianjin University of Technology

The SCAPS-1D simulator， a one-dimensional solar cell capacitance simulator is utilized for simulating CIGS solar cells. It has been observed that the performance of solar cells can be enhanced by uniformly adjusting the band gap value of the CIGS absorption layer. Upon doing so， the solar cell's conversion efficiency reaches 22.13% when the band gap of the CIGS absorption layer is 1.3eV. Subsequently， the influence of defect type and density on photoelectric properties is analyzed by using the improved absorption band gap. The findings indicate that to heighten the photovoltaic efficiency， it is imperative to minimize the defect concentration in the absorption layer， as high-density defects significantly impact the efficiency， and can even render the conversion efficiency to zero. This study underscores the pivotal influence of band gap adjustments and defect charge types on the photoelectric properties of thin film solar cells.

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A versatile synthetic strategy towards rare earth based metal-organic frameworks

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Science China Chemistry 2025年

作者： Quan Shi Yun-Hao Xu Ming-Hui Chen Peng Zhao Wen-Bo Deng ji Xiong Kai Guo Ya-Qing Feng Bao Zhang School of Chemical Engineering and Technology Tianjin University Tianjin Collaborative Innovation Center of Chemical Science and Engineering Guangdong Laboratory Chemistry & Fine Chemical Industry jieyang Center

Rare earth metal-organic frameworks (RE-MOFs) have drawn wide attention owing to diverse network structures and various application ***,due to the unpredictable formation of the nodes,it is still challenging to design novel RE-MOFs.A novel versatile strategy was developed employing a RE-acetate complex (RE2(CH3COO)6·4H2O) as a precursor to construct RE-MOFs.2D RE-MOFs (RE-DBP) and 3D RE-MOFs (RE-TCPP) could be obtained by using dicarboxylic porphyrin ligands H2DBP and tetracarboxylic porphyrin ligands H2TCPP,*** RE-MOFs were further synthesized to verify the universality of the *** crystalline RE-MOFs could also be prepared at room temperature via the developed strategy,which could significantly promote large-scale preparation and practical application of *** proof of the concept,the performance of porphyrin-based RE-MOFs was investigated in the photocatalytic cycloaddition of CO2with *** the RE-DBP(Co) MOFs,Tb-DBP(Co) exhibited the best photocatalytic performance,which was also greater than that of the corresponding 3D MOF Tb-TCPP(Co) due to the optimal 2D structure and thus the accelerated photogenerated charge separation and transfer *** work not only provides a novel versatile strategy to design and develop RE-MOFs,but also proposes a promising approach for the potential bulk production of RE-MOFs at room temperature.

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Effects of ultrasonic-assisted extraction on bioactive compounds,volatile flavors and antioxidant activities of vine tea water extracts

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Traditional Medicine Research 2025年第1期10卷 73-81页

作者： Xiao-Long Zhou Wei-jin jiang ji Yu Mao-Jun Yao Yun-Tong Li Hunan Provincial Key Laboratory of Research Resource Mining and High-valued Utilization on Edible&Medicinal PlantCollege of Chemistry and Chemical EngineeringJishou UniversityJishou 416000China Hunan Gaoge Dairy Co. Ltd.Changsha 410000China

Background:Ampelopsis grossedentata,vine tea,which is the tea alternative beverages in *** vine tea processing,a large amount of broken tea is produced,which has low commercial ***:This study investigates the influence of different extraction methods(room temperature water extraction,boiling water extraction,ultrasonic-assisted room temperature water extraction,and ultrasonic-assisted boiling water extraction,referred to as room temperature water extraction(RE),boiling water extraction(BE),ultrasonic assistance at room temperature water extraction(URE),and ultrasonic assistance in boiling water extraction(UBE))on the yield,dihydromyricetin(DMY)content,free amino acid composition,volatile aroma components,and antioxidant properties of vine tea ***:A notable influence of extraction temperature on the yield of vine tea extracts(P<0.05),with BE yielding the highest at 43.13±0.26%,higher than that of RE(34.29±0.81%).Ultrasound-assisted extraction significantly increased the DMY content of the extracts(P<0.05),whereas DMY content in the RE extracts was 59.94±1.70%,that of URE reached 66.14±2.78%.Analysis revealed 17 amino acids,with L-serine and aspartic acid being the most abundant in the extracts,nevertheless ultrasound-assisted extraction reduced total free amino acid *** chromatography-mass spectrometry analysis demonstrated an increase in the diversity and quantity of compounds in the vine tea water extracts obtained through ultrasonic-assisted ***,69 and 68 volatile compounds were found in URE and UBE extracts,which were higher than the number found in RE and BE *** vitro,antioxidant activity assessments revealed varying antioxidant capacities among different extraction methods,with RE exhibiting the highest DPPH scavenging rate,URE leading in ABTS•+free radical scavenging,and BE demonstrating superior ferric ion reducing antioxidant ***:The findings suggest that extraction methods signi

关键词： vine tea dihydromyricetin ultrasonic-assisted extraction volatile aroma components

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认知空间映射及其神经机制

心理科学进展 2025年第1期33卷 62-76页

作者：吴际李会杰南宁师范大学教育科学学院南宁530001 中国科学院行为科学重点实验室(中国科学院心理研究所) 北京100101 中国科学院大学心理学系北京100049

认知地图不仅可以映射物理空间,还可以支持认知空间映射,形成包括感知空间、情景记忆空间、概念空间和社会空间等在内的跨不同信息领域的地图式表征。认知空间映射的神经机制包括海马体对潜在结构的抽象和概括、支持分布式位置地图的生... 详细信息

认知地图不仅可以映射物理空间,还可以支持认知空间映射,形成包括感知空间、情景记忆空间、概念空间和社会空间等在内的跨不同信息领域的地图式表征。认知空间映射的神经机制包括海马体对潜在结构的抽象和概括、支持分布式位置地图的生成、将信息与背景结构捆绑,以及海马体与其它脑区的协同。未来研究应关注预测性的认知空间地图、海马体对不同精度和层级信息的表征、认知空间映射微观和介观层面的研究空缺以及物理空间和认知空间映射的共同机制和特异性机制等问题。

关键词：认知地图网格细胞位置细胞海马体

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阿哌沙班片溶出度测定方法研究

成都大学学报（自然科学版） 2016年第4期35卷 317-320,334页

作者：郭兆元聂忠莉胡一冰曾吉王晓玲叶丁张勇萧茂玲郭瑞成都大学四川抗生素工业研究所四川成都610052 成都大学药学与生物工程学院四川成都610106 成都克莱蒙医药科技有限公司四川成都610041

建立了以高效液相色填充谱法测定阿哌沙班片溶出度的测定方法,采用0.1%CTAB-pH 6.8的磷酸盐缓冲溶液900mL为溶出介质,温度为37℃±0.5℃,转速为75r/min,溶出介质经脱气处理,取样时间为30min.结果显示,6批供试品及对照药品30min的溶出度... 详细信息

建立了以高效液相色填充谱法测定阿哌沙班片溶出度的测定方法,采用0.1%CTAB-pH 6.8的磷酸盐缓冲溶液900mL为溶出介质,温度为37℃±0.5℃,转速为75r/min,溶出介质经脱气处理,取样时间为30min.结果显示,6批供试品及对照药品30min的溶出度均在80%以上,均符合规定.方法专属性强,灵敏度高,结果准确,可用于测定阿哌沙班片的溶出度.

关键词：阿哌沙班片溶出度高效液相色谱法

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集成深度强化学习在股票指数投资组合优化中的应用分析

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计算机科学与探索 2025年第1期19卷 237-244页

作者：冀中张文嘉天津大学电气自动化与信息工程学院天津300072 天津大学佐治亚理工深圳学院天津300072

基于集成深度强化学习的投资组合选择是当前量化金融领域的关键技术之一。然而,目前采用上一窗口阶段最优指标决定下一阶段代理的集成滚动窗口方法存在一定的滞后性。为了有效应对这一不足,提出了双层嵌套集成深度强化学习方法。该方法... 详细信息

基于集成深度强化学习的投资组合选择是当前量化金融领域的关键技术之一。然而,目前采用上一窗口阶段最优指标决定下一阶段代理的集成滚动窗口方法存在一定的滞后性。为了有效应对这一不足,提出了双层嵌套集成深度强化学习方法。该方法对三种代理(优势演员-评论员、深度确定性策略梯度和近端策略优化)进行两层嵌套模式,第一层集成通过最优化夏普比率进行阶段模型选择,第二层通过加权投票的方法集成三种深度强化学习算法,从单次训练中收集多个模型快照,在训练期间利用这些模型进行集成预测。分别对上证50投资指数和道琼斯指数及其包含的股票进行了投资组合研究,将持有指数被动策略和均值方差投资组合策略作为基线策略。实验采用了投资组合价值、年化回报率、年化波动率、最大回撤和夏普比率等指标作为对比指标。结果表明,所提出的集成方法在实用性和有效性上表现出较好的性能。

关键词：股票投资组合交易策略深度强化学习双层嵌套集成深度强化学习方法集成学习

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Role of nutrition in diabetes mellitus and infections

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World Journal of Clinical Cases 2025年第3期13卷 1-8页

作者： Xue-Lu Yu Li-Yun Zhou Xiao Huang Xin-Yue Li Ming-Ke Wang ji-Shun Yang Naval Medical Center of PLA Naval Medical UniversityShanghai 200052China

In this editorial,we have commented on the article that has been published in the recent issue of World Journal of Clinical *** authors have described a case of unilateral thyroid cyst and have opined that the acute onset of infection may be linked to diabetes mellitus(DM).We have focused on the role of nutrition in the association between DM and *** with DM are at a high risk of infection,which could also be attributed to nutrition-related *** interventions for patients with diabetes are mainly based on a low-calorie diet,which can be achieved by adhering to a low-carbohydrate ***,dietary fiber supplementation is recommended to maintain the diversity of the gut ***,high-quality protein can prevent the increased risk of infection due to *** of vitamins C,vitamins A,vitamins D,and folic acid improves blood sugar control and facilitates immune *** deficiencies augment the risk of infection,but the relationship with diabetes is mostly U-shaped and a good intake should be maintained.

关键词： Diabetes mellitus Infection Macronutrients Vitamins Minerals