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Angle-dependent discoloration structures in wing scales of Morpho menelaus butterfly

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Science China(Technological Sciences) 2016年第5期59卷 749-755页

作者： niu ShiChao LI Bo YE JunFeng mu ZhengZhi ZHANG JunQiu LIU Yan HAN ZhiWu Key Laboratory of Bionic Engineering (Ministry of Education China) Jilin University Changchun 130012 China First Hospital ofJilin University Changchun 130022 China

The Morpho butterfly is famous for its typical structural color and has increasingly attracted the interest of scholars in a wide variety of research fields. Herein, it was found that the color of Morpho menelaus butterfly wings is not only structure-based but also viewing-angle-dependent. Firstly, the discoloration effect of this typical butterfly was confirmed by a series of experiments. Then, the general form, arrangements, and geometrical dimensions of the scales were observed using a stereomicroscope. Scanning electron microscopy was also used to examine the two-dimensional morphologies and structures of a single scale. Afterwards, one model with the optimized three-dimensional profile of the structure was described using Pro-engineer software. The associate model was then analyzed to reconstruct the process between the incident light and the model surface. Finally, the mechanism of the angle-dependent discoloration effect was analyzed by theoretical calculation and optical simulation. Different light propagation paths and the length of the incident light at different angles caused destructive or constructive interference between the light reflected from the different layers. The different spectra of the reflected light make the wings appear with different structural colors, thereby endowing the angle-dependent discoloration effect. The consistency of the calculation and simulation results confirms that these structures possess an excellent angle-dependent discoloration effect. This functional "biomimetic structure" would not only be of great scientific interest but could also have a great impact in a wide range of applications such as reflective displays, credit card security, and military stealth technology.

关键词： angle-dependent discoloration structural color butterfly wing scales bionics translight

Control of ribosome synthesis in bacteria:the important role of rRNA chain elongation rate

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Science China(Life Sciences) 2021年第5期64卷 795-802页

作者： Manlu Zhu Haoyan mu Mengmei jia Lingfu Deng Xiongfeng Dai Hubei Key Laboratory of Genetic Regulation and Integrative Biology School of Life SciencesCentral China Normal UniversityWuhan 430079China

Bacteria growth depends crucially on protein synthesis,which is limited by ribosome *** RNA(rRNA)transcription is the rate-limiting step of ribosome *** is generally proposed that the transcriptional initiation rate of rRNA operon is the primary factor that controls the r RNA *** this study,we established a convenient GFP-based reporter approach for measuring the bacterial rRNA chain elongation *** showed that the rRNA chain elongation rate of Escherichia coli remains constant under nutrient limitation and chloramphenicol *** contrast,rRNA chain elongation rate decreases dramatically under low ***,we found that Vibrio natriegens,the fastest growing bacteria known,has a 50%higher rRNA chain elongation rate than ***,which contributes to its rapid ribosome *** study demonstrates that r RNA chain elongation rate is another important factor that affects the bacterial ribosome synthesis capacity.

关键词： rRNA chain elongation rate ribosome synthesis rrn transcriptional initiation rate GFP reporter system low temperature Vibrio natriegens

Advances in artificial intelligence for predicting complication risks post-laparoscopic radical gastrectomy for gastric cancer:A significant leap forward

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World Journal of Gastroenterology 2024年第43期30卷 4669-4671页

作者： Hong-niu Wang jia-Hao An Liang Zong Department of Graduate School of Medicine Changzhi Medical CollegeChangzhi 046000Shanxi ProvinceChina Department of Gastrointestinal Surgery Changzhi People’s HospitalChangzhi 046000Shanxi ProvinceChina

In a recent paper,Hong et al developed an artificial intelligence(AI)-driven predictive scoring system for potential complications following laparoscopic radical gastrectomy for gastric cancer *** demonstrated that integrating AI with random forest models significantly improved the preoperative prediction and patient outcome management *** incorporating data from multiple centers,their model ensures standardization,reliability,and broad applicability,distinguishing it from the prior *** present study highlights AI's potential in clinical decision support,aiding in the preoperative and postoperative management of gastric cancer *** findings may pave the way for future prospective studies to further enhance AI-supported diagnoses in clinical practice.

关键词： Artificial intelligence Gastric cancer Gastrectomy Random forest model Complication

Determination of Ni^(2+) in Waters with Sodium Polyacrylate as a Binding Phase in Diffusive Gradients in Thin-films

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Chemical Research in Chinese Universities 2011年第4期27卷 703-707页

作者： CHEN Hong DONG jia niu Yong-xin SUN Ting Department of Chemistry Northeastern University Shenyang 110004 P. R. China Department of Applied Chemistry Liaoning Petrochemical Vocational Technology College Jinzhou 121001 R. R. China

An aqueous solution containing sodium polyacrylate（PAAS） was used in diffusive gradient in thin-films technique（DGT） to measure DGT-labile Ni2＋ *** DGT devices（PAAS DGT） were validated in four types of solutions,including synthetic river water containing metal ions with complexing EDTA or that without complexing EDTA,natural river water（Ling River,Jinzhou,China） spiked with Ni2＋,and an industrial wastewater （Jinzhou,China）.Results show that only free metal ions were measured by PAAS DGT,recovery=97.36% in the solutions containing only free metal ions,recovery=49.62% in a solution with metal/EDTA molar ratio of 2：1 and recovery=0 in the solutions with metal/EDTA molar ratios of 1：1 and 1：*** indicated that the complexes of Ni-EDTA were *** DGT performance in spiked river water（recovery=18.24%） and in industrial wastewater（recovery=12.25%） were investigated,which indicated that the measurement of metals by this DGT device did not include the humic substances complexed fractions of *** binding properties of PAAS DGT for Ni2＋ were investigated under different conditions of pH value and ionic *** stability constants（lgK） of PAAS-Ni complexes were also evaluated.

关键词： Diffusive gradient in thin-film Sodium polyacrylate Binding agent Ni2+

Estimating prognosis of gastric neuroendocrine neoplasms using machine learning:A step towards precision medicine

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World Journal of Gastrointestinal Oncology 2024年第12期16卷 4548-4552页

作者： Hong-niu Wang jia-Hao An Liang Zong Graduate School of Medicine Changzhi Medical CollegeChangzhi 046000Shanxi ProvinceChina Department of Gastrointestinal Surgery Changzhi People’s HospitalChangzhi 046000Shanxi ProvinceChina

Survival rates following radical surgery for gastric neuroendocrine neoplasms(g-NENs)are low,with high recurrence *** fact impacts patient prognosis and complicates postoperative *** prognostic models,including the Cox proportional hazards(CoxPH)model,have shown limited predictive power for postoperative survival in gastrointestinal neuroectodermal tumor *** learning methods offer a unique opportunity to analyze complex relationships within datasets,providing tools and methodologies to assess large volumes of high-dimensional,multimodal data generated by biological *** methods show promise in predicting outcomes across various medical *** the context of g-NENs,utilizing machine learning to predict survival outcomes holds potential for personalized postoperative management *** editorial reviews a study exploring the advantages and effectiveness of the random survival forest(RSF)model,using the lymph node ratio(LNR),in predicting disease-specific survival(DSS)in postoperative g-NEN patients stratified into low-risk and high-risk *** findings demonstrate that the RSF model,incorporating LNR,outperformed the CoxPH model in predicting DSS and constitutes an important step towards precision medicine.

关键词： Machine learning Artificial intelligence Gastric neuroendocrine neoplasm Random survival forest model Disease-specific survival

High Precision Prediction of Rolling Force Based on Fuzzy and Nerve Method for Cold Tandem Mill

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Journal of Iron and Steel Research International 2008年第2期15卷 23-27页

作者： jia Chun-yu SHAN Xiu-ying niu Zhao-ping College of Mechanical Engineering Yanshan University Qinhuangdao 066004 Hebei China

The rolling force model for cold tandem mill was put forward by using the Elman dynamic recursive network method,based on the actual measured ***,a good assumption is put forward,which brings a full universe of discourse self-adjusting factor fuzzy control,closed-loop adjusting,based on error feedback and expertise into a rolling force prediction model,to modify prediction outputs and improve prediction precision and *** simulated results indicate that the method is highly effective and the prediction precision is better than that of the traditional *** relative error is less than ±4%,so the prediction is high precise for the cold tandem mill.

关键词： Elman dynamic recursive network fuzzy control cold tandem mill rolling force prediction

Anti-adhesive Property of Maize Leaf Surface Related with Temperature and Humidity

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Journal of Bionic Engineering 2017年第3期14卷 540-548页

作者： Zhiwu Han jia Fu Yuqiang Fang Junqiu Zhang Shichao niu Luquan Ren Key Laboratory of Bionic Engineering (Ministry of Education China) Jilin University Changchun 130022 China School of Mechanical Science and Engineering Jilin University Changchun 130022 China

The anti-adhesive surfaces have always aroused great interest of worldwide scientists and engineers. But in practical ap- plications, it often faces the threat and impact of temperature and humidity. In this work, the excellent anti-adhesive perform- ance of maize leaf under high temperature and humidity were investigated in detail. Firstly, the adhesion forces of the maize leaf surface under different temperature and humidity were measured by using Atomic Force Microscopy （AFM）. The temperature of the substrate was varied between 23 ~C to 100 ~C, and the ambient relative humidity is from 18% to 100%. It was found that the adhesion force of maize leaf decreased with the increase of temperature and humidity. The mechanism of its excellent anti-adhesive performance of maize leaf under high temperature and relative humidity was revealed. The transverse and lon- gitudinal ridges on maize leaf surface interlace with each other, forming small air pockets, which reduces the actual contact area between the object and the maize leaf. With the increase of humidity, the liquid film will be formed in the air pockets gradually and so much water vapor is produced with increase of tempera^tre. Then the air flow rate increases though the wavy top of transverse ridges, inducing the dramatic decrease of adhesion force. Inspired by this mechanism, four samples with this bionic structure were made. This functional ＂biomimetic structure＂ would have potential value in the wide medical equipments such as high frequency electric knife with anti-adhesion surface under high temperature and high humidity.

关键词： maize leaf anti-adhesion temperature relative humidity bionic surface

Effect of slope inclination on step friction coefficient of human being

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Science China(Technological Sciences) 2013年第12期56卷 3001-3006页

作者： ZHANG YongZhen jia LiXiao PANG XianJuan niu YongPing DU SanMing Henan Key Laboratory of Material Tribology Henan University of Science & Technology Department of Mechanical & Electrical Engineering Luoyang Institute of Science and Technology

Effect of slope inclination on step friction coefficient of human being was studied by gait friction tester developed by Henan University of Science and *** is beneficial to improving the safety of human beings while walking on a *** on the trajectory of mass center of body(MCOB)and the mechanical analysis of human body while walking,conclusion could be drawn that the required step frictional coefficient(RSFC)exhibited an"M"shaped curve during the foot contacting with the ground and got its maximum and minimum values when MCOB of the subject was at the highest and lowest position ***,the first peak of RSFC decreases firstly and then increases,while the second peak of RSFC increases with the increase of slope inclination at the experimental *** position of pivotal point is decided by the relative size of slope inclination and the angle between the plumb line through MCOB and the line from foot to MCOB.

关键词： slope inclination step friction coefficient trajectory of mass center of body gait friction tester

Drift analysis of MH370 debris in the southern Indian Ocean

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Frontiers of Earth Science 2018年第3期12卷 468-480页

作者： jia GAO Lin mu Xianwen BAO Jun SONG Yang DING College of Oceanic and Atmospheric Sciences Ocean University of China Qingdao 266100 China National Marine Data and Information Service Tianjin 300171 China College of Marine Science and Technology China University of Geosciences Wuhan 430074 China School of Marine Science and Environment Engineering Dalian Ocean University Dalian 116023 China

Malaysian Airlines Flight MH370 disappeared on 8 March 2014, while flying from Kuala Lumpur to Beijing. A flaperon from the flight was found on Reunion Island in July 2015. Two more confirmed pieces of debris were found in Mauritius and Tanzania, and 19 unconfirmed items were found off Mozambique, South Africa, and Madagascar. Drift buoys originating from the designated underwater search area arrived in Reunion Island, Mauritius, and Tanzania. Some of these buoys took a similarly long time as did real debris to reach these destinations, following a heading northeast and then west. For the present study, a maritime object drift prediction model was developed. ＂High resolution surface currents, Stokes drift, and winds＂ were processed, and a series of model experiments were constructed. The predicted trajectories of the modeled objects were similar to the observed trajectories of the drift buoys. Many modeled objects drifted northward then westward, ending up in Reunion Island, Mauritius, and Tanzania with probabilities of 5%0, 5%0, and 19%o, respectively. At the end of the simulation, most objects were located near 10~S in the western Indian Ocean. There were significant differences between experiments with different leeway factors, possibly because of the influence of southeast trade winds. The north part of the underwater search area is most likely to be the crash site, because the predicted trajectories of objects originating here are consistent with the many pieces of debris found along the east coast of Africa and the absence of such findings on the west coast of Australia.

关键词： MH370 debris drift trajectory drift buoys surface currents Stokes drift