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Understanding the Recovery of the Intervertebral Disc:A Comprehensive Review of In Vivo and In Vitro Studies

Journal of Bionic Engineering 2024年第4期21卷 1919-1948页

作者： Faten Feki Fahmi zaïri Abderrahman Tamoud Melissa Moulart Rym Taktak Nader Haddar Fahed zaïri Sfax University ENISMaterials Engineering and Environment Laboratory3038SfaxTunisia University of Lille IMT Nord EuropeJUNIAUniversity of ArtoisULR 4515-LGCgELaboratoire de Génie Civil et geo-Environnement59000LilleFrance PrediTwins Lab 59000LilleFrance Japet Medical Device 59000LilleFrance Sfax University ENISLaboratory of Advanced Materials3038SfaxTunisia Ramsay Générale de Santé Hôpital PrivéLe Bois59000LilleFrance

Within the consistent daily rhythm of human life,intervertebral discs endure a variety of complex loads beyond the influences of gravity and muscle forces,leading to significant morphological changes(in terms of volume,area,and height)as well as biomechanical alterations,including an increase in disc stiffness and a decrease in intradiscal ***,the discs demonstrate an ability to regain their original morphological and biomechanical characteristics after a period of nocturnal *** preservation of normal disc function is critically dependent on this recovery phase,which serves to forestall premature disc *** phenomenon of disc recovery has been extensively documented through numerous in vivo studies employing advanced clinical techniques such as magnetic Resonance Imaging(MRI),stadiometry,and intradiscal pressure ***,the findings from in vitro studies present a more complex picture,with reports varying between full recovery and only partial recuperation of the disc ***,research focusing on degenerated discs in vitro has shed light on the quantifiable impact of degeneration on the disc ability to *** dynamics within the disc are considered a primary factor in recovery,yet the disc intricate multiscale structure and its viscoelastic properties also play key *** elements interact in complex ways to influence the recovery mechanism,particularly in relation to the overall health of the *** objective of this review is to collate,analyze,and critically evaluate the existing body of in vivo and in vitro research on this topic,providing a comprehensive understanding of disc recovery *** understanding offers a blueprint for future advancements in medical treatments and bionic engineering solutions designed to mimic,support,and enhance the natural recovery processes of intervertebral discs.

关键词： Intervertebral disc Recovery In vivo vs.in vitro studies Degeneration Viscoelastic effects Fluid dynamics

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A Powerful Partnership Two industry behemoths have teamed up to help teachers make learning fun

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空中英语教室（高级版．彭蒙惠英语） 2024年第11期 12-13,41页

作者： Steven melendez 不详

Khan Academy's AI assistant will now be free to K-12 teachers in the *** to a new deal with Microsoft,the companies said during Microsoft's Build conference[in may].Microsoft is donating access to its Microsoft Azure infrastructure to give teachers free use of the tool,which previously required a subscription to pay for the cost of the underlying AI service.

关键词： Azure service companies

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Optimal combination of the correction model and parameters for the precision geometric correction of UAV hyperspectral images

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 173-184页

作者： Wenzhong Tian za Kan Qingzhan Zhao Ping Jiang Xuewen Wang Hanqing Liu College of Mechanical and Electrical Engineering Shihezi UniversityShihezi 832000XinjiangChina Research Center for Space Information Engineering Technology Shihezi 832000XinjiangChina XPCC Division of National Remote Sensing Center of China Shihezi 832000XinjiangChina College of Information Science and Technology Shihezi UniversityShihezi 832000XinjiangChina

Nowadays,with the rapid development of quantitative remote sensing represented by high-resolution UAV hyperspectral remote sensing observation technology,people have put forward higher requirements for the rapid preprocessing and geometric correction accuracy of hyperspectral *** optimal geometric correction model and parameter combination of UAV hyperspectral images need to be determined to reduce unnecessary waste of time in the preprocessing and provide high-precision data support for the application of UAV hyperspectral *** this study,the geometric correction accuracy under various geometric correction models(including affine transformation model,local triangulation model,polynomial model,direct linear transformation model,and rational function model)and resampling methods(including nearest neighbor resampling method,bilinear interpolation resampling method,and cubic convolution resampling method)were ***,the distribution,number,and accuracy of control points were analyzed based on the control variable method,and precise ground control points(GCPs)were *** results showed that the average geometric positioning error of UAV hyperspectral images(at 80 m altitude AGL)without geometric correction was as high as 3.4041 m(about 65 pixels).The optimal geometric correction model and parameter combination of the UAV hyperspectral image(at 80 m altitude AGL)used a local triangulation model,adopted a bilinear interpolation resampling method,and selected 12 edgemiddle distributed *** correction accuracy could reach 0.0493 m(less than one pixel).This study provides a reference for the geometric correction of UAV hyperspectral images.

关键词： geometric correction hyperspectral images unmanned aerial vehicle(UAV) ground control point(GCP)

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Design and optimization of an airflow-vibration sieving device for the effective cleaning of cyperus esculentus *** mixture

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 77-88页

作者： Shan Chen Shiguan An za Kan Lidong Huang Hewei Meng Jiangtao Qi Huijie Peng College of Mechanical and Electrical Engineering Shihezi UniversityShihezi 832000XinjiangChina Engineering Research Center for Production Mechanization of Oasis Special Economic Crop Ministry of EducationShihezi 832000XinjiangChina Guilin Mike machinery Co. LtdGuilin 541000GuangxiChina

The threshing mixture of Cyperus esculentus(Tiger nut)planted in sandy areas is complex during harvesting,and there are problems of high impurity rate and high cleaning loss rate of the *** this paper,the threshing mixture of Cyperus esculentus is taken as the research object,and the suspension speed of each component is measured to design an“airflow+vibration”sieving *** the vector polygon method to explore the law of motion of the vibrating sieve,establish the force model of the seeds on the sieve surface,and analyze the conditions for the seeds to penetrate the *** to the principle of seeds penetrating the sieve and long stalks not penetrating the sieve,the geometric model of sieve blades opening degree adjustment mechanism is *** of the conditions under which long stalks can be thrown out of the *** experiment bench of the cleaning device was built,and the evaluation indexes were the rate of seed impurity and the rate of cleaning loss of the device,and the crank speed,sieve blades opening degree and fan speed were used as the experiment factors to study the influence law of each influencing factor on the evaluation index through single-factor *** response surface methodology to find the optimal combination of working parameters of the cleaning *** verify the device’s application on the combine harvester to improve the effectiveness of the cleaning operation of the Cyperus esculentus combine harvester.

关键词： sand cultivation Cyperus esculentus wind sieve type cleaning device optimization

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Fulminant Hepatitis Associated with Chronic Consumption of 3,4-Methylenedioxy-Methamphetamine;Case Report

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Open Journal of gastroenterology 2024年第5期14卷 161-166页

作者： Ulises Solis gomez Gustavo Adolfo Hernández Valdez Juan Antonio Contreras Escamilla Ivan Alejandro Medina Jimenez Jorge Morales Rojas Jocelyn Nataly Quintero melendez marco Antonio González Villar Department of Internal Medicine ISSSTE APP General Hospital of Tepic Tepic Nayarit Mexico

The amphetamine derivative 3,4-methylenedioxymethamphetamine (MDma), also called ecstasy, is a neurotoxin widely consumed among young people that has increased in recent years because it is a recreational drug, of which immediate effects are known such as a greater sensation of well-being, extroversion, increased sensory perception. However, its long-term effects have been described very little in the medical literature, including damage to the heart, central nervous system, kidney, etc. One of its little-known effects is hepatotoxicity, of which few cases are known associated with fulminant hepatitis, which is a rapidly deteriorating condition that is generally associated with a syndrome of multiple organ dysfunction and death. Therefore, it is very important to know this type of damage in the short and long term. The following case is of a 39-year-old man who came to our service due to jaundice syndrome and the only history of MDma consumption, who as the days went by met the criteria for fulminant liver failure, with damage to multiple organs (organ dysfunction syndrome).

关键词： Fulminant Hepatitis Acute Liver Failure Methamphetamine Severe Acute Liver Failure in a User of Drugs of Abuse Hepatology

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A review of vehicle detection methods based on computer vision

Journal of Intelligent and Connected Vehicles

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Journal of Intelligent and Connected Vehicles 2024年第1期7卷 1-18页

作者： changxi ma Fansong Xue School of Traffic and Transportation Lanzhou Jiaotong UniversityLanzhou 730070China Key Laboratory of Railway Industry on Plateau Railway Transportation Intelligent management and Control Lanzhou 730070China

With the increasing number of vehicles,there has been an unprecedented pressure on the operation and maintenance of intelligent transportation systems and transportation *** order to achieve faster and more accurate identification of traffic vehicles,computer vision and deep learning technology play a vital role and have made significant *** study summarizes the current research status,latest findings,and future development trends of traditional detection algorithms and deep learning-based detection *** the detection algorithms based on deep learning,this study focuses on the representative convolutional neural network ***,it examines the two-stage and one-stage detection algorithms,which have been extensively utilized in the field of intelligent transportation *** to traditional detection algorithms,deep learning-based detection algorithms can achieve higher accuracy and *** single-stage detection algorithm is more efficient for real-time detection,while the two-stage detection algorithm is more accurate than the single-stage detection *** the follow-up research,it is important to consider the balance between detection efficiency and detection ***,vehicle missed detection and false detection in complex scenes,such as bad weather and vehicle overlap,should be taken into *** will ensure better application of the research findings in engineering practice.

关键词： intelligent transportation system computer vision deep learning vehicle detection object detection algorithm

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A review of research on urban parking prediction

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第4期11卷 700-720页

作者： changxi ma Xiaoting Huang Jiangchen Li School of Traffic and Transportation Lanzhou Jiaotong UniversityLanzhou 730070China College of Civil Aviation Nanjing University of Aeronautics and AstronauticsNanjing 210016China

The rapid growth of urban traffic has intensified daily congestion,affecting both traffic flow and *** parking prediction plays a vital role in effectively managing limited parking resources and is essential for the successful implementation of advanced intelligent *** an effort to comprehensively assess the latest developments in parking prediction,we curated a dataset of 639 articles spanning from 2010 to the present,using the Scopus ***,we performed a bibliometric analysis utilizing VOSviewer *** findings not only illuminate emerging trends within the parking prediction field but also provide strategic guidance for its ***,we categorized advancements in three focal areas:behavior prediction,demand prediction,and parking space prediction.A comprehensive overview of the present research status and future directions was then *** findings underscore the substantial progress achieved in current parking prediction models,achieved through diverse avenues like multi-source data integration,multi-variable feature extraction,nonlinear relationship modeling,deep learning techniques application,and ensemble model *** innovative endeavors have not only pushed the theoretical boundaries of parking prediction but also significantly heightened the precision and applicability of predictive models in practical *** research should explore avenues such as processing unstructured parking datasets,developing predictive models for small-scale data,mitigating noise interference in parking data,and harnessing potent platform fusion *** study's significance transcends guiding and catalyzing advancement in academic and practical domains;it holds paramount relevance across academic research,technological innovation,decision-making support,business applications,and policy formulation.

关键词： Parking prediction machine learning Smart parking Deep learning

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Influence of Microorganisms Effective against Basal Rot and on Agronomic Parameters of Onion [Allium cepa L. (Amaryllidaceae)]

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Journal of Agricultural Chemistry and Environment 2024年第3期13卷 282-299页

作者： Henriette Doukahonon Guigui Bi zaï Pacôme zaouli Alain Serge Coulibaly Juliette Ky Dedi Training and Research Unit of Sciences of Nature Laboratory of Biology and Improvement of Plant Production Nangui Abrogoua University Abidjan Cte dIvoire Department of Plant Biology Training and Research Unit (UFR) of Biological Sciences Peleforo Gon Coulibaly University Korhogo Cte dIvoire

Onions are a horticultural crop of great economic, dietary and medicinal importance, and are highly prized by the Ivorian population. However, production remains low, due to a number of constraints, including parasitic attacks. The most frequent is fusariosis caused by Fusarium sp., a pathogen that causes enormous damage to onion crops. Faced with these attacks, chemical control appears to be ineffective, with consequences for human health and the environment. This is why the search for effective alternative methods that respect the environment and human health is so necessary. It is in this context that this study was carried out, with the general aim of controlling fusarium wilt in onion crops, with a view to improving onion production in Ivory Coast through the use of effective microorganisms. The experimental set-up used for this purpose was a fisher block with complete randomization, comprising three replicates. A fungal spore concentration of 106 spore/mL of Fusarium sp., three doses (1%;2.5% and 5% v/v) of EM and one dose of a chemical fungicide (30 mL/16L) were tested on young onion plants. Each block consisted of nine sub-plots with nine treatments. Health parameters (incidence and severity) and agronomic parameters (growth and yield) were assessed. Microbiological analysis of the EM revealed the presence of nine morphotypes of Trichoderma sp., Aspergillus clavatus, Aspergillus flavus, Aspergillus sp., Penicillium sp., Rhizopus sp., lactic acid bacteria of the Bacillus family and the yeast Saccharomyces cerevisiae. Field experimentation showed that the 5% EM microbial solution reduced the incidence and severity of fusariosis compared with the chemical fungicide, and proved to be the best. This dose reduced yield losses by 7.14%, while improving onion growth and yield by over 5%. The results demonstrated the ability of the EM solution to effectively control the causal agent of basal rot in onion crops.

关键词： Basal Rot Effective Microorganisms (EM) Fusarium sp. Onion

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Determinants of Satisfaction at Work and Its Reflections on Performance

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Chinese Business Review 2024年第1期23卷 24-36页

作者： Giovani Luiz garcia Costantini Everton Anger Cavalheiro Larissa Medianeira Bolzan Alejandro martins Rodrigues Luíza Roloff Falck Federal University of Pelotas PelotasBrazil

This study examines the relationship between job satisfaction and performance,investigating personality traits and satisfaction aspects among employees of a Federal Higher Education Institution.A questionnaire was administered to 658 participants,using structural equation modeling for *** highlighted that challenging work,neuroticism,and self-esteem significantly influenced overall workplace satisfaction,while general satisfaction,self-efficacy,and lack of attention were key determinants of work *** emphasizes the importance for managers to prioritize factors enhancing employee satisfaction,as it positively correlates with job performance.

关键词： satisfaction at work work performance personality traits facets of job satisfaction Federal Higher Education Institution

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A VNS-NPga Approach to Multi-Objective Optimization of Hub-and-spoke Logistics Network

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Journal of Traffic and Transportation Engineering(English Edition) 2024年

作者： changxi ma Chuwei Shi Yun Yang Yongpeng Zhao Zhuye Xu Bo Du School of Traffic and Transportation， Lanzhou Jiaotong University Key Laboratory of Railway lndustry on Plateau Railway Transportation Intelligent management and Control， Lanzhou Jiaotong University School of Tourism and management， Yangling Vocational and Technical College School of New Energy and Power Engineering， Lanzhou Jiaotong University National Engineering Research Center of Highway maintenance Technology， changsha University of Science & Technology SmaRT Infrastructure Facility， University of Wollongong

To realize low-cost freight transport in the logistics network and improve the network operation efficiency， a multi-objective optimization model and the corresponding algorithm for a hub-and-spoke logistics network are proposed based on the multi-level location of hub points and channels layout. By considering the structure of the multi-level hub-and-spoke logistics network and the features of the connectivity between the hub and spoke points， the multi-objective optimization model is constructed with two objectives of minimizing the total network operation costs and the total network service time. By considering the characteristics of decision variables and models， a Variable Neighborhood Search (VNS)-Niched Pareto Genetic Algorithm (NPga) approach with a three-stage encoding structure chromosome is proposed， where the VNS algorithm nested in NPga is used for individual variable neighborhood search to optimize individual channel level genes， and NPga is adopted to solve the multi-objective optimization model. To evaluate the performance of the proposed VNS-NPga approach， a real-life case study based on a small-scale Australia Post data set was conducted， and 25 nodes of the Australia Post and 14 nodes of the gansu Province 3-level hub-and-spoke logistics networks were established， respectively. The analysis results indicated that the network structure of multi-level hub points could avoid the detour problem existing in the traditional hub-and-spoke network， and showed better applicability in the narrow geographical structure. Compared to the traditional multi-objective evolutionary algorithms， VNS-NPga can obtain better solutions through the distributed optimization of channel levels， avoiding the problem that a single algorithm cannot effectively deal with coupling relationships in genes.

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