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Numerical and experimental study on the falling film flow characteristics with the effect of co-current gas flow in hydrogen liquefaction process

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Petroleum Science 2024年第2期21卷 1369-1384页

作者： Chong-Zheng Sun Yu-Xing Li Hui Han xiao-yi Geng xiao Lu College of Energy Storage Technology Shandong University of Science and TechnologyQingdao 266590ShandongChina College of Pipeline and Civil Engineering/Shandong Provincial Key Laboratory of Oil&Gas Storage and Transportation Safety China University of PetroleumQingdao 266580ShandongChina

Liquid hydrogen storage and transportation is an effective method for large-scale transportation and utilization of hydrogen energy. Revealing the flow mechanism of cryogenic working fluid is the key to optimize heat exchanger structure and hydrogen liquefaction process(LH2). The methods of cryogenic visualization experiment, theoretical analysis and numerical simulation are conducted to study the falling film flow characteristics with the effect of co-current gas flow in LH2spiral wound heat *** results show that the flow rate of mixed refrigerant has a great influence on liquid film spreading process, falling film flow pattern and heat transfer performance. The liquid film of LH2mixed refrigerant with column flow pattern can not uniformly and completely cover the tube wall surface. As liquid flow rate increases, the falling film flow pattern evolves into sheet-column flow and sheet flow, and liquid film completely covers the surface of tube wall. With the increase of shear effect of gas-phase mixed refrigerant in the same direction, the liquid film gradually becomes unstable, and the flow pattern eventually evolves into a mist flow.

关键词： Hydrogen liquefaction Spiral wound heat exchanger Flow pattern transition Falling film flow

AdaPIP: Adaptive picture-in-picture guidance for 360 ◦ film watching

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Computational Visual Media 2024年第3期10卷 487-503页

作者： yi-xiao Li Guan Luo yi-Ke Xu Yu He Fang-Lue Zhang Song-Hai Zhang Department of Computer Science and Technology Tsinghua UniversityBeijingChinaand Beijing National Research Center for Information Science and Technology(BNRist)Tsinghua UniversityBeijingChina Key Laboratory of Space Utilization Technology and Engineering Center for Space UtilizationChinese Academy of SciencesBeijingChina Victoria University of Wellington WellingtonNew Zealand

360◦videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful *** mitigate this problem,picture-in-picture(PIP)guidance was proposed using preview windows to show regions of interest(ROIs)outside the current view *** identify several drawbacks of this representation and propose a new method for 360◦ﬁlm watching called *** enhances traditional PIP by adaptively arranging preview windows with changeable view ranges and *** addition,AdaPIP incorporates the advantage of arrow-based guidance by presenting circular windows with arrows attached to them to help users locate the corresponding ROIs more *** also adapted AdaPIP and Outside-In to HMD-based immersive virtual reality environments to demonstrate the usability of PIP-guided approaches beyond 2D *** user experiments on 2D screens,as well as in VR environments,indicate that AdaPIP is superior to alternative methods in terms of visual experiences while maintaining a comparable degree of immersion.

关键词： 360◦videos picture-in-picture(PIP) virtual reality(VR) visual guidance

WNT7A promotes tumorigenesis of head and neck squamous cell carcinoma via activating FZD7/JAK1/STAT3 signaling

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International Journal of Oral Science 2024年第1期16卷 85-96页

作者： Qingling Huang yi xiao Ting Lan Youguang Lu Li Huang Dali Zheng Department of Biochemistry and Molecular Biology School of Basic Medical SciencesFujian Medical UniversityFuzhouChina Fujian Key Laboratory of Oral Diseases School and Hospital of StomatologyFujian Medical UniversityFuzhouChina Department of Preventive Dentistry School and Hospital of StomatologyFujian Medical UniversityFuzhouChina Department of Dentistry The First Affiliated Hospital of Fujian Medical UniversityFuzhouChina

Wnt signaling are critical pathway involved in organ development, tumorigenesis, and cancer progression. WNT7A, a member of the Wnt family, remains poorly understood in terms of its role and the underlying molecular mechanisms it entails in head and neck squamous cell carcinoma (HNSCC). According to the Cancer Genome Atlas (TCGA), transcriptome sequencing data of HNSCC, the expression level of WNT7A in tumors was found to be higher than in adjacent normal tissues, which was validated using Real-time RT-PCR and immunohistochemistry. Unexpectedly, overexpression of WNT7A did not activate the canonical Wnt-β-catenin pathway in HNSCC. Instead, our findings suggested that WNT7A potentially activated the FZD7/JAK1/STAT3 signaling pathway, leading to enhanced cell proliferation, self-renewal, and resistance to apoptosis. Furthermore, in a patient-derived xenograft (PDX) tumor model, high expression of WNT7A and phosphorylated STAT3 was observed, which positively correlated with tumor *** findings underscore the significance of WNT7A in HNSCC progression and propose the targeting of key molecules within the FZD7/JAK1/STAT3 pathway as a promising strategy for precise treatment of HNSCC.

关键词： WNT squamous tumorigenesis

Association of Methionine Synthase rs1805087 Polymorphism With Arsenic-Related Skin Pigmentary Changes:A Population-Based Case-Control Study

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International Journal of Dermatology and Venereology 2024年第2期7卷 70-77页

作者： xiao-Yan Huang yi xiao Dan-Rong Jing Min-Xue Shen Li-Xia Lu Department of Pathology Xiangya HospitalCentral South UniversityChangshaHunan 410008China Department of Dermatology Xiangya HospitalCentral South UniversityChangshaHunan 410008China Hunan Key Laboratory of Skin Cancer and Psoriasis Central South UniversityChangshaHunan 410008China Hunan Engineering Research Center of Skin Health and Disease Central South UniversityChangshaHunan 410008China Department of Social Medicine and Health Management Xiangya School of Public HealthCentral South UniversityChangshaHunan 410008China

Objective:Chronic arsenic exposure causes skin lesions including skin cancers,pigmentary changes,and *** polymorphism in arsenic metabolism may increase susceptibility to the development of arsenic-related skin *** study was performed to determine whether arsenic metabolism-related gene variants are associated with arsenic-related pigmentary ***:This case-control study involved 189 patients with arsenic-related pigmentary changes and 103 ***-eight polymorphisms in 10 genes determined by mass spectrometry assay served as candidate drivers of arsenic-induced pigmentary *** and plasma arsenic levels were determined by inductively coupled plasma mass *** arsenic concentrations were measured by nondispersive atomic fluorescence *** metabolites in urine were determined using high-performance liquid chromatography with inductively coupled plasma mass *** folate was measured using a folate radio assay *** of variance,nonparametric test,or the chi-square test was selected according to the data *** correlation analysis was used to determine the correlation between two *** regression was used to estimate the effect of single-nucleotide ***:The arsenic concentrations in urine,plasma,and hair and the urine arsenic species were not significantly different between patients and *** regression revealed that among the polymorphisms,the methionine synthase(MTR)rs1805087 polymorphism showed a protective effect against arsenic-related pigmentary *** the codominant model,the adjusted odds ratio for age,sex,and ethnicity was 0.41(95%confidence interval[CI],0.21-0.80;P=0.008)for the AG genotype and 0.11(95%CI,0.02-0.60;P=0.012)for the GG ***:MTR polymorphism showed a protective effect against arsenic-related pigmentary changes in the logistic regression *** effect of MTR rs1805087 might

关键词： methionine synthase arsenic-related pigmentary changes arsenic metabolism

Stable Cycling of All-Solid-State Lithium Batteries Enabled by Cyano-Molecular Diamond Improved Polymer Electrolytes

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Nano-Micro Letters 2024年第10期16卷 561-575页

作者： Yang Dai Mengbing Zhuang yi-xiao Deng Yuan Liao Jian Gu Tinglu Song Hao Yan Jin-Cheng Zheng Department of Chemical Engineering Shanghai UniversityShangda Road 99Shanghai 200444People's Republic of China Department of Physics Xiamen UniversityXiamen 361005People's Republic of China Experimental Center of Advanced Materials School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081People's Republic of China Department of Physics and Department of New Energy Science and Engineering Xiamen University Malaysia43900 SepangMalaysia

The interfacial instability of the poly(ethylene oxide)(PEO)-based electrolytes impedes the long-term cycling and further application of all-solid-state lithium metal *** this work,we have shown an effective additive 1-adaman-tanecarbonitrile,which con-tributes to the excellent per-formance of the poly(ethylene oxide)-based *** to the strong interaction of the 1-Adamantanecarboni-trile to the polymer matrix and anions,the coordination of the Li^(+)-EO is weakened,and the binding effect of anions is strengthened,thereby improving the Li^(+)conductivity and the electrochemical *** diamond building block on the surface of the lithium anode can sup-press the growth of lithium ***,the 1-Adamantanecarbonitrile also regulates the formation of LiF in the solid electrolyte interface and cathode electrolyte interface,which contributes to the interfacial stability(especially at high voltages)and protects the electrodes,enabling all-solid-state batteries to cycle at high voltages for long periods of ***,the Li/Li symmetric cell undergoes long-term lithium plating/stripping for more than 2000 h.1-Adamantanecarbonitrile-poly(ethylene oxide)-based LFP/Li and 4.3 V Ni_(0.8)Mn_(0.1)Co_(0.1)O_(2)/Li all-solid-state batteries achieved stable cycles for 1000 times,with capacity retention rates reaching 85%and 80%,respectively.

关键词： 1-Adamantanecarbonitrile(ADCN) Poly(ethylene oxide) All-solid-state batteries Interfacial stability High voltage

Exploring deep learning for landslide mapping:A comprehensive review

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China Geology 2024年第2期7卷 330-350页

作者： Zhi-qiang Yang Wen-wen Qi Chong Xu xiao-yi Shao College of Surveying and Geo-Informatics Tongji UniversityShanghai 200092China National Institute of Natural Hazards Ministry of Emergency ManagementBeijing 100085China Key Laboratory of Compound and Chained Natural Hazards Dynamics Ministry of Emergency Management of ChinaBeijing 100085China

A detailed and accurate inventory map of landslides is crucial for quantitative hazard assessment and land *** methods relying on change detection and object-oriented approaches have been criticized for their dependence on expert knowledge and subjective *** advancements in highresolution satellite imagery,coupled with the rapid development of artificial intelligence,particularly datadriven deep learning algorithms(DL)such as convolutional neural networks(CNN),have provided rich feature indicators for landslide mapping,overcoming previous *** this review paper,77representative DL-based landslide detection methods applied in various environments over the past seven years were *** study analyzed the structures of different DL networks,discussed five main application scenarios,and assessed both the advancements and limitations of DL in geological hazard *** results indicated that the increasing number of articles per year reflects growing interest in landslide mapping by artificial intelligence,with U-Net-based structures gaining prominence due to their flexibility in feature extraction and ***,we explored the hindrances of DL in landslide hazard research based on the above research *** such as black-box operations and sample dependence persist,warranting further theoretical research and future application of DL in landslide detection.

关键词： Landslide Mapping Quantitative hazard assessment Deep learning Artificial intelligence Neural network Big data Geological hazard survery engineering

Heterogeneous information fusion recognition method based on belief rule structure

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Journal of Systems Engineering and Electronics 2024年第4期35卷 955-964页

作者： WANG Haibin GUAN Xin yi xiao SUN Guidong Naval Aviation University Yantai 264001China Unit 32801 of the PLA Beijing 100082China

To solve the problem that the existing situation awareness research focuses on multi-sensor data fusion,but the expert knowledge is not fully utilized,a heterogeneous informa-tion fusion recognition method based on belief rule structure is *** defining the continuous probabilistic hesitation fuzzy linguistic term sets(CPHFLTS)and establishing CPHFLTS distance measure,the belief rule base of the relationship between feature space and category space is constructed through information integration,and the evidence reasoning of the input samples is carried *** experimental results show that the proposed method can make full use of sensor data and expert knowledge for *** with the other methods,the proposed method has a higher correct recognition rate under different noise levels.

关键词： belief rule heterogeneous information intention recognition hesitation fuzzy linguistic

Dual‑Atom Nanozyme Eye Drops Attenuate Inflammation and Break the Vicious Cycle in Dry Eye Disease

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Nano-Micro Letters 2024年第6期16卷 439-457页

作者： Dandan Chu Mengyang Zhao Shisong Rong Wonho Jhe xiaolu Cai yi xiao Wei Zhang Xingchen Geng Zhanrong Li Xingcai Zhang Jingguo Li Henan Eye Hospital Henan Provincial People’s HospitalPeople’s Hospital of Zhengzhou UniversityZhengzhou 450003People’s Republic of China Department of Ophthalmology Mass Eye and EarMass General BrighamHarvard Medical SchoolBostonMA 02114USA School of Engineering and Applied Sciences Harvard UniversityCambridgeMA 02138USA College of Chemistry Zhengzhou UniversityZhengzhou 450001People’s Republic of China

Dry eye disease(DED)is a major ocular pathology worldwide,causing serious ocular discomfort and even visual *** incidence of DED is gradually increasing with the highfrequency use of electronic *** inflammation is core cause of the DED vicious cycle,reactive oxygen species(ROS)play a pivotal role in the vicious cycle by regulating inflammation from ***,current therapies merely targeting inflammation show the failure of DED ***,a novel dual-atom nanozymes(DAN)-based eye drops are *** antioxidative DAN is successfully prepared by embedding Fe and Mn bimetallic single-atoms in N-doped carbon material and modifying it with a hydrophilic *** in vitro and in vivo results demonstrate the DAN is endowed with superior biological activity in scavenging excessive ROS,inhibiting NLRP3 inflammasome activation,decreasing proinflammatory cytokines expression,and suppressing cell ***,the DAN effectively alleviate ocular inflammation,promote corneal epithelial repair,recover goblet cell density and tear secretion,thus breaking the DED vicious *** findings open an avenue to make the DAN as an intervention form to DED and ROSmediated inflammatory diseases.

关键词： Dry eye disease DAN Dual-atom nanozyme Vicious cycle NLRP3 inflammasome Nanomedicine

Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

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Petroleum Science 2024年第2期21卷 1241-1256页

作者： Hui-Wen Pang Han-Qing Wang yi-Tian xiao Yan Jin Yun-Hu Lu Yong-Dong Fan Zhen Nie National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum-BeijingBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing102206China College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China Research Institute of Petroleum Exploration and Development CNPCBeijing100083China

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network ***, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.

关键词： Lost circulation Risk prediction Machine learning Seismic attributes Mud loss records