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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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Rhabdomyolysis-related acute kidney injury in patients with COVID- 19

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World Journal of Virology 2024年第3期13卷 76-81页

作者： Ahmet murt Mehmet Riza Altiparmak Department of Nephrology Clinic Istanbul University-CerrahpasaCerrahpasa Medical FacultyIstanbul 34000Türkiye Department of Internal Medicine Division of NephrologyIstanbul UniversityIstanbul 34000Türkiye

BACKGROUND Viral and bacterial infections may be complicated by rhabdomyolysis,which has a spectrum of clinical presentations ranging from asymptomatic laboratory abnor-malities to life-threatening conditions such as renal *** viral injury as well as inflammatory responses may cause rhabdomyolysis in the course of coronavirus disease 2019(COVID-19).When presented with acute kidney injury(AKI),rhabdomyolysis may be related to higher morbidity and *** To compare rhabdomyolysis-related AKI with other AKIs during *** A total of 115 patients with COVID-19 who had AKI were evaluated *** patients had a definite diagnosis of rhabdomyolysis(i.e.,creatine kinase levels increased to>5 times the upper normal range with a concomitant increase in transaminases and lactate dehydrogenase).These patients were aged 61.0±19.1 years and their baseline creatinine levels were 0.87±0.13 mg/*** were treated according to national COVID-19 treatment *** were compared with patients with COVID-19 who had AKI due to other *** For patients with rhabdomyolysis,creatinine reached 2.47±1.17 mg/dL during follow-up in *** these patients,13.3%had AKI upon hospital admission,and 86.4%developed AKI during hospital *** peak C-reactive protein reached as high as 253.2±80.6 mg/L and was higher than in patients with AKI due to other reasons(P<0.01).Peak ferritin and procalcitonin levels were also higher for patients with rhabdomyolysis(P=0.02 and P=0.002,respective-ly).The mortality of patients with rhabdomyolysis was calculated as 73.3%,which was higher than in other patients with AKI(18.1%)(P=0.001).CONCLUSION Rhabdomyolysis was present in 13.0%of the patients who had AKI during COVID-19 ***-related AKI is more proinflammatory and has a more mortal clinical course.

关键词： Rhabdomyolysis Acute kidney injury COVID-19 SARS-CoV-2 Creatine kinase

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Mode switching torque distribution strategy of timely four-wheel driven high-gap plant protection machine

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International Journal of Agricultural and Biological Engineering 2024年第4期17卷 176-184页

作者： Haijun Zhang Mingwei Guan Guojun Ji ghulam Hussain Maohua Xiao Yejun Zhu College of Engineering Nanjing Agricultural UniversityNanjing 210031China Essen Agricultural Machinery Changzhou Co. Ltd.Changzhou 213000China Faculty of Mechanical Engineering Ghulam Ishaq Khan Institute of Engineering Sciences&TechnologyTopi 23460Pakistan

The high-gap plant protection machine is taken in this paper as the research object to ensure the good driving power and safety of the high-gap plant protection machine,and the control strategy of inter-shaft torque distribution is established under different working conditions to improve vehicle power and lateral *** anticipated demand torque is initially determined based on the structural characteristics and operational principles of the plant protection ***,a hierarchical control framework is devised by incorporating a formulated switching control ***,a simulation model for torque distribution control strategy between shafts is developed on the Matlab/Simulink platform,followed by simulation and experimental *** results are presented as follows:the inter-shaft torque distribution strategy established in this paper increases the average longitudinal acceleration by 0.13 m/s^(2) and 0.14 m/s^(2) under the control of low and high to low adhesion road surfaces,*** the control of the single-line shifting condition,the yaw velocity can successfully follow the expected value with a maximum value of 0.61 rad/*** side deflection angle of the center of mass does not exceed 2.8°,which can follow the ideal trajectory and improve power and safety.

关键词： plant protection robot torque distribution mode switching

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Air traffic monitoring using optimized ADS-B CubeSat constellation

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Astrodynamics 2024年第1期8卷 189-208页

作者： ghulam Jaffer Rameez AMalik Elias Aboutanios Nazish Rubab Ronnie Nader Hans U.Eichelberger Guy A.E.Vandenbosch Interdisciplinary Centre for Security Reliability and Trust(SnT)University of LuxembourgLuxembourg1855Luxembourg

The primary technique used for air traffic surveillance is ***,nowadays,its role in surveillance is gradually being replaced by the recently adopted Automatic Dependent Surveillance-Broadcast(ADS-B).ADS-B offers a higher accuracy,lower power consumption,and longer range than radar,thus providing more safety to *** coverage of terrestrial radar and ADS-B is confined to continental parts of the globe,leaving oceans and poles uncovered by real-time surveillance *** study presents an optimized Low-Earth Orbit(LEO)-based ADS-B constellation for global air traffic surveillance over intercontinental trans-oceanic flight *** optimization algorithm is based on performance evaluation parameters,i.e.,coverage time,satellite availability,and orbit stability(precession and perigee rotation),and communication *** results indicate that the constellation provides ample coverage in the simulated global oceanic *** constellation is a feasible and cost-effective solution for global air supervision,which can supplement terrestrial ADS-B and radar systems.

关键词： constellation automatic dependent surveillance-broadcast (ADS-B) air traffic surveillance precession perigee rotation.

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Securing Cloud-Encrypted Data:Detecting Ransomware-as-a-Service(RaaS)Attacks through Deep Learning Ensemble

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Computers, Materials & Continua 2024年第4期79卷 857-873页

作者： Amardeep Singh Hamad Ali Abosaq Saad Arif Zohaib Mushtaq Muhammad Irfan ghulam Abbas Arshad Ali Alanoud Al Mazroa School of Computer Information Sciences University of CumberlandsWilliamsburgKentucky40769USA Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering The University of LahoreLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.

关键词： Cloud encryption RaaS ensemble threat detection deep learning cybersecurity

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Room Temperature Synthesis of Vertically Aligned Amorphous Ultrathin NiCo-LDH Nanosheets Bifunctional Flexible Supercapacitor Electrodes

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Energy & Environmental Materials 2024年第2期7卷 277-286页

作者： Kwadwo Asare Owusu Zhaoyang Wang Ali Saad Felix Ofori Boakye Muhammad Asim Mushtaq Muhammad Tahir ghulam Yasin Dongqing Liu Zhengchun Peng Xingke Cai Institute for Advanced Study Shenzhen UniversityShenzhen 518060China College of Physics and Optoelectronics Shenzhen University3688 Nanhai BoulevardNanshan DistrictShenzhen 518060China School of Chemistry and Materials Science Hubei Engineering UniversityNo.272 Traffic AvenueXiaogan 432000China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyNo.122 Luoshi RoadWuhan 430070China Key Laboratory of Green Printing CAS Research Centre for Excellence in Molecular ScienceInstitute of Chemistry Chinese Academy of Sciences(ICCAS)Beijing 100190China College of Mechatronics and Control Engineering Shenzhen University3688 Nanhai BoulevardNanshan DistrictShenzhen 518050China

Developing a simple scalable method to fabricate electrodes with high capacity and wide voltage range is desired for the real use of electrochemical ***,we synthesized amorphous NiCo-LDH nanosheets vertically aligned on activated carbon cloth substrate,which was in situ transformed from Co-metal-organic framework materials nano-columns by a simple ion exchange process at room *** to the amorphous and vertically aligned ultrathin structure of NiCo-LDH,the NiCo-LDH/activated carbon cloth composites present high areal capacities of 3770 and 1480 mF cm^(-2)as cathode and anode at 2 mA cm^(-2),and 79.5%and 80%capacity have been preserved at 50 mA cm^(-2).In the meantime,they all showed excellent cycling performance with negligible change after>10000 *** fabricating them into an asymmetric supercapacitor,the device achieves high energy densities(5.61 mWh cm^(-2)and 0.352 mW cm^(-3)).This work provides an innovative strategy for simplifying the design of supercapacitors as well as providing a new understanding of improving the rate capabilities/cycling stability of NiCo-LDH materials.

关键词： amorphous nanosheets aqueous supercapacitor high volumetric/areal energy density NiCo-LDH room temperature synthesis

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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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A Robust Method of Bipolar Mental Illness Detection from Facial Micro Expressions Using Machine Learning Methods

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Intelligent Automation & Soft Computing 2024年第1期39卷 57-71页

作者： ghulam Gilanie Sana Cheema Akkasha Latif AnumSaher Muhammad Ahsan Hafeez Ullah Diya Oommen Department of Artificial Intelligence Faculty of ComputingThe Islamia University of BahawalpurBahawalpur63100Pakistan Biophotonics Imaging Techniques Laboratory Institute of PhysicsThe Islamia University of BahawalpurBahawalpur63100Pakistan West High School Salt Lake CityUT84103USA

Bipolar disorder is a serious mental condition that may be caused by any kind of stress or emotional upset experienced by the *** affects a large percentage of people globally,who fluctuate between depression and mania,or vice versa.A pleasant or unpleasant mood is more than a reflection of a state of ***,it is a difficult task to analyze through physical examination due to a large patient-psychiatrist ratio,so automated procedures are the best options to diagnose and verify the severity of *** this research work,facial microexpressions have been used for bipolar detection using the proposed Convolutional Neural Network(CNN)-based *** Action Coding System(FACS)is used to extract micro-expressions called Action Units(AUs)connected with sad,happy,and angry *** have been conducted on a dataset collected from Bahawal Victoria Hospital,Bahawalpur,Pakistan,Using the Patient Health Questionnaire-15(PHQ-15)to infer a patient’s mental *** experimental results showed a validation accuracy of 98.99%for the proposed CNN modelwhile classification through extracted featuresUsing SupportVectorMachines(SVM),K-NearestNeighbour(KNN),and Decision Tree(DT)obtained 99.9%,98.7%,and 98.9%accuracy,***,the outcomes demonstrated the stated method’s superiority over the current best practices.

关键词： Bipolar mental illness detection facial micro-expressions facial landmarked images

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Fe,Co/NPs@GO双金属三维粒子电极电催化氧化卡马西平

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中国环境科学 2024年第8期44卷 4632-4640页

作者：周紫璇卓琼芳 ghulam Yasin 谢水波南华大学土木工程学院湖南衡阳421001 东莞理工学院生态环境与建筑工程学院东莞市新污染物重点实验室广东东莞523808

采用冷冻/碳化法制备了铁钴双金属粒子电极(Fe,Co/NPs@GO),并通过改善铁钴的前驱体比例优化了Fe,Co/NPs@GO双金属三维粒子电极体系对CBZ的降解性能,探讨电流密度和PMS投加量对CBZ降解的影响结果表明:0.15g/L的Fe,Co/NPs@GO(Fe:Co=1:1),3... 详细信息

采用冷冻/碳化法制备了铁钴双金属粒子电极(Fe,Co/NPs@GO),并通过改善铁钴的前驱体比例优化了Fe,Co/NPs@GO双金属三维粒子电极体系对CBZ的降解性能,探讨电流密度和PMS投加量对CBZ降解的影响结果表明:0.15g/L的Fe,Co/NPs@GO(Fe:Co=1:1),3mmol/L PMS,在20mA/cm^(2)的电流密度下,CBZ(1mg/L)在30min内的去除率达99.5%.与单纯的催化剂活化PMS体系相比,加入电催化条件后,CBZ的去除率提升了约37%.通过自由基淬灭实验及电子顺磁共振(EPR)证实,羟基自由基和单线态氧是降解CBZ的主导活性物种,并推测出CBZ在电催化耦合三维粒子电极活化过一硫酸盐(PMS)体系的降解机理.同时,粒子电极的循环利用实验表明,Fe,Co/NPs@GO粒子电极具有较好的催化稳定性和重复利用性.

关键词：三维粒子电极电化学氧化卡马西平过一硫酸盐铁钴双金属粒子电极

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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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