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Fasn involved in the nephrotoxicity induced by polystyrene nanoplastics and the intervention of melatonin through intestinal microbiota-mediated lipid metabolism disorder

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Nano Research 2024年第8期17卷 7365-7375页

作者： Huiwen Kang Danyang Huang Jiaru Jing Wei Zhang Lei Zhang Jingyu wang Ziyan Liu Lin Han Ziyan wang Lefeng Zhang Ai Gao Department of Occupational Health and Environmental Health School of Public HealthCapital Medical UniversityBeijing 100069China Beijing Key Laboratory of Environmental Toxicology Capital Medical UniversityBeijing 100069China

Nanoplastics(NPs)can accumulate in the kidney and cause kidney injury,but the multi-organ interaction mechanism and preventive measures of kidney injury are still *** this study,in vivo(60μg/day,42 days)and in vitro(0.4μg/μL,24 h)exposure models of polystyrene nanoplastics(PS-NPs,80 nm)in mice and human kidney cortex proximal tubule epithelial cells(HK-2 cells)were established,*** study revealed that PS-NPs caused obvious pathological changes and impaired renal function in mice,which were related to lipid metabolism disorders mediated by intestinal ***-fatty acid synthase(Fasn)-docosahexaenoic acid(DHA)pathway may be one of the mechanisms of kidney injury in ***,we also found that melatonin attenuates PS-NPs-induced nephrotoxicity by modulating lipid metabolism disorders(represented by DHA)and affects Fasn *** conclusion,our study revealed the important role of intestinal flora-mediated lipid metabolism in PS-NPs-induced nephrotoxicity and preliminarily provided potential key gene targets and effective preventive measures for PS-NPs-induced nephrotoxicity.

关键词： nanoplastics nephrotoxicity lipid metabolism fatty acid synthase(Fasn) melatonin

High speed laser cladding as a new approach to prepare ultra-high temperature ceramic coatings

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Journal of Advanced Ceramics 2024年第2期13卷 143-154页

作者： Qiyao Deng Pengfei He Chuan Sun Yang Li Yue Xing Yujie wang Jinglong Li Xiubing Liang Xin wang Yujie Zhou Yujun Cai National-Local Joint Engineering Laboratory of Intelligent Manufacturing Oriented Automobile Die&Mould Tianjin University of Technology and EducationTianjin 300222China Defense Innovation Institute Academy of Military ScienceBeijing 100071China School of mechanical engineering Tianjin University of Technology and EducationTianjin 300222China Scientific and Technological Innovation Center Beijing 100012China

Ultra-high temperature ceramic(UHTC)coatings are used to protect the hot-end components of hypervelocity aerocrafts from thermal *** study provides a new approach to fabricate UHTC coatings with high speed laser cladding(HSLC)technology,and places more emphasis on investigating the formation mechanism,phase compositions,and mechanical properties of HSLC-UHTC *** show that a well-bonded interface between the coating and the tantalum alloy substrate can be *** coating is mainly composed of(Zr,Ta)C ceramic solid solution phase with a content of higher than 90% by volume and Ta(W)metal solid solution *** a relatively high powder feeding rate,the ZrC ceramic phase appears in the coating while a dense ZrC UHTC top layer with a thickness of up to~50μm is successfully *** for the mechanical properties of the HSLC coatings,the fracture toughness of the coating decreases with the increase of powder feeding *** increase of carbide solid solution phase can significantly improve the high temperature microhardness(552.7±1.8 HV0.5@1000℃).The innovative design of HSLC ZrC-based coatings on refractory alloys accomplishes continuous transitions on microstructure and properties from the substrate to the UHTC top layer,which is a very promising candidate scheme for thermal protection coating.

关键词： high speed laser cladding(HSLC) ultra-high temperature ceramic(UHTC) thermal protection coating microstructure mechanical properties

Selective synthesis of the B_(11)H_(14)^(-) and B_(12)H_(12)^(2-) borane derivatives and the general mechanisms of the B-H bond condensation

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Science China Chemistry 2024年第3期67卷 876-881页

作者： Yi Jing Xinghua wang Hui Han Xin-Ran Liu Xing-Chao Yu Xi-Meng Chen Donghui Wei Lai-Sheng wang Xuenian Chen College of Chemistry Green Catalysis CenterZhengzhou UniversityZhengzhou 450001China School of Chemistry and Chemical Engineering Henan Key Laboratory of Boron Chemistry and Advanced Energy MaterialsHenan Normal UniversityXinxiang 453007China Department of Chemistry Brown UniversityProvidenceRI 02912USA

Polyhedral boranes are a class of well-known boron molecular clusters with unique physical and chemical properties,and great efforts have been made in the past decades to find more effective synthetic ***,the established synthetic methods suffer from low efficiency and low selectivity because the mechanism of the B-H bond condensation reaction,critical for the synthesis of the polyhedral boranes,is not well *** we report highly selective and efficient synthetic methods of the salts of the tetradecahydridoundecaborate(1-)(B_(11)H^(-)_(14)) and dodecahydrido-dodecaborates(2-)(B_(12)H_(12)^(2-)) anions by employing commercially available and inexpensive starting *** theoretical and experimental investigations are carried out to elucidate the reaction *** have found that the nature of the B-H bond condensation is the dihydrogen bonding interaction in which the positively charged hydrogens(bridged hydrogens) play a crucial *** current study has not only led to more effective and selective synthetic methods for B_(11)H^(-)_(14) and B_(12)H_(12)^(2-) but also unveiled the nature of the B-H bond condensation and the general formation mechanisms of polyhedral *** finding will facilitate the development of more effective synthetic methods for polyhedral boranes and spur their wide application.

关键词： Boranes polyhedral boranes dihydrogen bond nucleophilicity

Observing the collapse of super-Bloch oscillations in strong-driving photonic temporal lattices

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Advanced Photonics 2024年第4期6卷 14-24页

作者： Xinyuan Hu Shulin wang Chengzhi Qin Chenyu Liu Lange Zhao Yinglan Li Han Ye Weiwei Liu Stefano Longhi Peixiang Lu Bing wang Huazhong University of Science and Technology School of PhysicsWuhan National Laboratory for OptoelectronicsWuhanChina Wuhan Institute of Technology Hubei Key Laboratory of Optical Information and Pattern RecognitionWuhanChina Politecnico di Milano Dipartimento di FisicaMilanoItaly IFISC(UIB-CSIC) Instituto de Fisica Interdisciplinary Sistemas ComplejosPalma de MallorcaSpain

Super-Bloch oscillations(SBOs)are amplified versions of direct current(dc)-driving Bloch oscillations realized under the detuned dc-and alternating current(ac)-driving electric fields.A unique feature of SBOs is the coherent oscillation inhibition via the ac-driving renormalization effect,which is dubbed as the collapse of ***,previous experimental studies on SBOs have only been limited to the weak ac-driving regime,and the collapse of SBOs has not been ***,by harnessing a synthetic temporal lattice in fiber-loop systems,we push the ac-field into a strong-driving regime and observe the collapse of SBOs,which manifests as the oscillation-trajectory localization at specific ac-driving amplitudes and oscillation-direction flip by crossing collapse *** adopting arbitrary-wave ac-driving fields,we also realize generalized SBOs with engineered collapse ***,we exploit the oscillation-direction flip features to design tunable temporal beam routers and *** initiate and demonstrate the collapse of SBOs,which may feature applications in coherent wave localization control for optical communications and signal processing.

关键词： super-Bloch oscillations band collapse ac-driving renormalization effect photonic temporal lattices strong-driving regime

Predicting Rock Burst in Underground Engineering Leveraging a Novel Metaheuristic-Based LightGBM Model

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 229-253页

作者： Kai wang Biao He Pijush Samui Jian Zhou No.Three Engineering Co. Ltd.CCCC First Highway Engineering CompanyBeijing101102China Department of Civil Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Civil Engineering National Institute of Technology PatnaBihar800005India School of Resources and Safety Engineering Central South UniversityChangsha410083China

Rock bursts represent a formidable challenge in underground engineering,posing substantial risks to both infrastructure and human *** sudden and violent failures of rock masses are characterized by the rapid release of accumulated stress within the rock,leading to severe seismic events and structural ***,the development of reliable prediction models for rock bursts is paramount to mitigating these *** study aims to propose a tree-based model—a Light Gradient Boosting Machine(LightGBM)—to predict the intensity of rock bursts in underground engineering.322 actual rock burst cases are collected to constitute an exhaustive rock burst dataset,which serves to train the *** population-basedmetaheuristic algorithms are used to optimize the hyperparameters of the LightGBM ***,the sensitivity analysis is used to identify the predominant factors that may incur the occurrence of rock *** results show that the population-based metaheuristic algorithms have a good ability to search out the optimal hyperparameters of the LightGBM *** developed LightGBM model yields promising performance in predicting the intensity of rock bursts,with which accuracy on training and testing sets are 0.972 and 0.944,*** sensitivity analysis discloses that the risk of occurring rock burst is significantly sensitive to three factors:uniaxial compressive strength(σc),stress concentration factor(SCF),and elastic strain energy index(Wet).Moreover,this study clarifies the particular impact of these three factors on the intensity of rock bursts through the partial dependence plot.

关键词： Rock burst prediction LightGBM coati optimization algorithm pelican optimization algorithm partial dependence plot

Inhalable iron redox cycling powered nanoreactor for amplified ferroptosis-apoptosis synergetic therapy of lung cancer

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Nano Research 2024年第6期17卷 5435-5451页

作者： Linjing Wu Wenhao wang Mengqin Guo Fangqin Fu Wenhua wang Tszching Sung Meihong Zhang Ziqiao Zhong Chuanbin Wu Xin Pan Zhengwei Huang College of Pharmacy Jinan UniversityGuangzhou 511436China School of Pharmaceutical Sciences Sun Yat-sen UniversityGuangzhou 510006China

Fenton reaction centered ferroptosis-apoptosis synergetic therapy has emerged as a promising tumor elimination ***,the low intracellular Fenton level and accumulation of therapeutics at the lesion site greatly limit the efficacy of ferroptosis *** overcome these two bottlenecks,an inhalable metal polyphenol network(MPN)-hybrid liposome,encoded as LDG,was proposed for enhancing the intracellular Fenton reaction level by co-delivering the ferroptosis inducer dihydroartemisinin(DHA)and the ferrous ion(Fe2+)donor *** synthesized LDG had excellent nebulization performance which significantly improved the accumulation in the lungs,about 8.2 times of intravenous *** terms of anticancer mechanisms,MPN raised the intracellular level of Fe2+by constructing iron cycling in the weakly acidic environment of *** by Fe2+,DHA with peroxide-bridge structure underwent a high level of Fenton-like reaction,promoted the production of intracellular reactive oxygen species(ROS)and induced strong ferroptosis while cooperating with *** exhibited extraordinary antitumor ability in an orthotopic lung tumor model,whose tumor inhibition efficiency was 1.53(P=0.0014)and 1.32(P=0.0183)times of the LG group(liposomes coated with gallic acid(GA)-Fe MPN)and LD group(liposomes loaded with DHA),respectively,showing the strongest anticancer *** conclusion,the constructed MPN-hybrid liposomes could be a potent custom nanoplatform for pulmonary delivery and underscored the great potential of ferroptosis-apoptosis synergetic therapy.

关键词： lung cancer pulmonary delivery ferroptosis metallic polyphenol network

An improved method for edge detection based on neighbor distance for processing hemispheric photography

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Journal of Plant Ecology 2024年第2期17卷 134-145页

作者： Yasi Liu Dayong Fan Han Sun Xiangping wang State Key Laboratory of Effcient Production of Forest Resources School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing 100083China The Key Laboratory for Silviculture and Conservation of Ministry of Education Beijing Forestry UniversityBeijing 100083China

Hemisphere photos are now widely applied to provide information about solar radiation dynamics,canopy structure and their contribution to biophysical processes,plant productivity and ecosystem *** present study aims to improve the original‘edge detection’method for binary classifcation between sky and canopy,which works not well for closed *** supposed such inaccuracy probably is due to the infuence of sky pixels on their neighbor canopy ***,we introduced a new term‘neighbor distance’,defned as the distance between pixels participated in the calculation of contrast at the edges between classifed canopy and sky,into the‘edge detection’*** showed that choosing a suitable neighbor distance for a photo with a specifc gap fraction can signifcantly improve the accuracy of the original‘edge detection’*** developed an ND-IS(Neighbor Distance-Iteration Selection)method that can automatically determine the threshold values of hemisphere photos with high accuracy and *** combines the modifed‘edge detection’method and an iterative selection method,with the aid of an empirical power function for the relationship between neighbor distance and manually verifed gap *** procedure worked well throughout a broad range of gap fractions(0.019-0.945)with different canopy compositions and structures,in fve forest biomes along a broad gradient of latitude and longitude across Eastern *** results highlight the necessity of integrating neighbor distance into the original‘edge detection’*** advantages and limitations of the method,and the application of the method in the feld were also discussed.

关键词： hemisphere photos ‘edge detection’method neighbor distance gap fraction forest

YOLO-O2E:A Variant YOLO Model for Anomalous Rail Fastening Detection

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Computers, Materials & Continua 2024年第7期80卷 1143-1161页

作者： Zhuhong Chu Jianxun Zhang Chengdong wang Changhui Yang Department of Computer Science and Engineering Chongqing University of TechnologyChongqing400054China Institute of Flexible Electronics(Future Technologies) Xiamen UniversityXiamen361000China College of Mechanical Engineering Chongqing University of TechnologyChongqing400054China

Rail fasteners are a crucial component of the railway transportation safety *** fasteners,distinguished by their high length-to-width ratio,frequently encounter elevated failure rates,necessitating manual inspection and *** inspection not only consumes time but also poses the risk of potential *** the advancement of deep learning technology in rail fasteners,challenges such as the complex background of rail fasteners and the similarity in their states are *** have proposed an efficient and high-precision rail fastener detection algorithm,named YOLO-O2E(you only look once-O2E).Firstly,we propose the EFOV(Enhanced Field of View)structure,aiming to adjust the effective receptive field size of convolutional kernels to enhance insensitivity to small spatial ***,The OD_MP(ODConv and MP_2)and EMA(EfficientMulti-Scale Attention)modules mentioned in the algorithm can acquire a wider spectrum of contextual information,enhancing the model’s ability to recognize and locate ***,we collected and prepared the GKA dataset,sourced from real train *** testing on the GKA dataset and the publicly available NUE-DET dataset,our method outperforms general-purpose object detection *** the GKA dataset,our model achieved a mAP 0.5 value of 97.6%and a mAP 0.5:0.95 value of 83.9%,demonstrating excellent inference ***-O2E is an algorithm for detecting anomalies in railway fasteners that is applicable in practical industrial settings,addressing the industry gap in rail fastener detection.

关键词： Rail fastening detection deep learning anomalous rail fastening variant YOLO feature reinforcement

Security estimation of LWE via BKW algorithms

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Cybersecurity 2024年第1期7卷 71-87页

作者： Yu Wei Lei Bi Xianhui Lu Kunpeng wang SKLOIS Institute of Information EngineeringCASBeijingChina School of Cyber Security University of Chinese Academy of SciencesBeijingChina

The Learning With Errors(LWE)problem is widely used in lattice-based cryptography,which is the most promising post-quantum cryptography *** are a variety of LWE-solving methods,which can be classified into four groups:lattice methods,algebraic methods,combinatorial methods,and exhaustive *** Blum–Kalai–Wasserman(BKW)algorithm is an important variety of combinatorial algorithms,which was first presented for solving the Learning Parity With Noise(LPN)problem and then extended to solve *** this paper,we give an overview of BKW algorithms for solving *** introduce the framework and key techniques of BKW algorithms and make comparisons between different BKW algorithms and also with lattice methods by estimating concrete security of specific LWE *** also briefly discuss the current problems and potential future directions of BKW algorithms.

关键词： Post-quantum cryptography Learning with errors problem Lattice-based cryptography Security estimation