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The Application of Analytical Techniques to Alpha-Synuclein in Parkinson’s Disease

American Journal of Analytical Chemistry 2024年第9期15卷 269-285页

作者： Olatayo Adedayo Olahanmi Department of Chemistry Middle Tennessee State University Murfreesboro USA

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms such as tremors, rigidity, and bradykinesia, as well as non-motor symptoms including cognitive impairment and mood disorders. A hallmark of PD is the accumulation of alpha-synuclein, a presynaptic neuronal protein that aggregates to form Lewy bodies, leading to neuronal dysfunction and cell death. The study of alpha-synuclein and its pathological forms is crucial for understanding the etiology of PD and developing effective diagnostic and therapeutic strategies. Analytical techniques play a pivotal role in elucidating the structure, function, and aggregation mechanisms of alpha-synuclein. Biochemical methods such as Western blotting and enzyme-linked immunosorbent assay (ELISA) are employed to detect and quantify alpha-synuclein in biological samples, offering insights into its expression levels and post-translational modifications. Imaging techniques like immunohistochemistry and positron emission tomography (PET) allow for the visualization of alpha-synuclein aggregates in tissue samples and in vivo, respectively, facilitating the study of its spatial distribution and progression in PD Spectroscopic methods, including nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry, provide detailed structural information on alpha-synuclein and its isoforms, aiding in the identification of conformational changes associated with aggregation. Emerging techniques such as cryo-electron microscopy (Cryo-EM) and single-molecule fluorescence enable high-resolution structural analysis and real-time monitoring of alpha-synuclein aggregation dynamics, respectively. The application of these analytical techniques has significantly advanced our understanding of the pathophysiological role of alpha-synuclein in PD. They have contributed to the identification of potential biomarkers for early diagnosis and the evaluation of therapeutic interventions targeting alpha-synuclein a

关键词： Parkinson’s Disease Alpha-Synuclein Techniques

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Efficient degradation of dye pollutant via Z-scheme ball milled ZnO-LaO-S powder photocatalyst

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Transactions of Nonferrous Metals Society of China 2024年

作者： Saeid ZAREI Hossein RAANAEI Sara AHMADI Saeed KAMALI Department of Physics， Faculty of Nano and Bio Science and Technology， Persian Gulf university Chemistry Department， Faculty of Science， university of Malaya Department of Physics and Astronomy， middle tennessee state university

This investigation aimed to analyze the degradation of Eriochrome Black T （EBT） dye using a semiconductor photocatalyst synthesized through mechanical alloying. Various characterization methods， including X-ray diffraction （XRD）， energy-dispersive X-ray spectroscopy （EDX）， and X-ray photoelectron spectroscopy （XPS）， were employed to study the properties of the photocatalysts. After 35 h of milling， a ball milled mixed metal oxides was formed as confirmed by XRD analysis. EDX and XPS analyses revealed significant differences in adsorption features with and without light exposure. The band gap of the 35 h ball milled sample was determined to be 4.08 eV. To optimize the EBT degradation， artificial neural network genetic algorithms were used to determine the optimal values for ZnO-La2O3dosage， lamp power， and pH， which were found to be 0.43， 52.06， and 3， respectively. The Z-scheme mechanism， supported by band gap， Fermi level， and work function analysis， was found to be responsible for the photocatalytic process. The photocatalysts demonstrated good reusability and high stability. Overall， the results suggest that the synthesized photocatalyst holds promising potential for the degradation of EBT dye in wastewater treatment.

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Assessment of scale interactions associated with wake meandering using bispectral analysis methodologies

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Theoretical & Applied Mechanics Letters 2024年第2期14卷 65-75页

作者： Dinesh Kumar Kinjangi Daniel Foti Department of Mechanical Engineering University of MemphisMemphisTennesseeUSA

Large atmospheric boundary layer fluctuations and smaller turbine-scale vorticity dynamics are separately hypothesized to initiate the wind turbine wake meandering phenomenon,a coherent,dynamic,turbine-scale oscillation of the far *** interactions,the mechanism of energy transfers between scales,manifest as triples of wavenumbers or frequencies and can be characterized through bispectral *** bispectrum,which correlates the two frequencies to their sum,is calculated by two recently developed multi-dimensional modal decomposition methods:scale-specific energy transfer method and bispectral mode ***-eddy simulation of a utility-scale wind turbine in an atmospheric boundary layer with a broad range of large length-scales is used to acquire instantaneous velocity *** bispectrum from both methods identifies prominent upwind and wake meandering interactions that create a broad range of energy scales including the wake meandering *** coherent kinetic energy associated with the interactions shows strong correlation between upwind scales and wake meandering.

关键词： Wind turbine wake Mode decomposition Bispectral analysis

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Chemical short-range-order induced multiscale strengthening in refractory medium entropy alloys

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Acta Mechanica Sinica 2024年第6期40卷 41-49页

作者： Weizheng Lu Yang Chen Jia Li Peter K.Liaw Qihong Fang state Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha410082China Department of Materials Science and Engineering The University of TennesseeKnoxvilleTN37996USA

High/medium entropy alloys(H/MEAs)are generally possible to exhibit chemical short-range order(SRO).However,the complex role of SRO on mechanical properties from nano-scale to meso-scale is still challenging so ***,we study the strengthening mechanism and deformation behavior in a model body-centered-cubic HfNbTa MEA by using atomic-scale molecular dynamics,micro-scale dislocation dynamics,and meso-scale crystal plasticity finite *** SRO inhibits dislocation nucleation at the atomic scale,improving the flow *** SRO-induced ultrastrong local stress fluctuation greatly improves the micro-scale dislocation-based strength by the significant dislocation forest ***,the Ta-rich locally ordered structure leads to an obvious heterogeneous strain and stress partitioning,which forms a strong strain gradient in the adjacent grain interiors and contributes to the strong back-stress-induced strain hardening.

关键词： High/medium entropy alloys Multiscale strengthening Chemical short-range order

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Modulation of p75 neurotrophin receptor mitigates brain damage following ischemic stroke in mice

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Neural Regeneration Research 2024年第10期19卷 2093-2094页

作者： Golnoush Mirzahosseini Tauheed Ishrat Department of Anatomy and Neurobiology College of MedicineThe University of Tennessee Health Science CenterMemphisTNUSA Pharmaceutical Sciences College of PharmacyThe University of Tennessee Health Science CenterMemphisTNUSA Neuroscience Institute The University of Tennessee Health Science CenterMemphisTNUSA

Stroke is a significant leading cause of death and disability in the United states(Tsao et al.,2022).Approximately 87% of strokes fall into the ischemic category,mainly caused by arterial blockage(Jayaraj et al.,2019).Although the only FDA-approved effective medication is tissue plasminogen activator(tPA),it should be administrated within 4.5 hours of ischemic ***,tPA has been an integral part of managing acute ischemic stro ke.

关键词： damage arterial death p75

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The role of extracorporeal life support and timing of repair in infants with congenital diaphragmatic hernia

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World Journal of Pediatric Surgery 2024年第2期7卷 90-99页

作者： Daniel B Gehle Logan C Meyer Tim Jancelewicz Le Bonheur Children's Hospital University of Tennessee Health Science CenterMemphisTennesseeUSA

Extracorporeal life support(ECLS)serves as a rescue therapy for patients with congenital diaphragmatic hernia(CDH)and severe cardiopulmonary failure,and only half of these patients survive to *** costly intervention has a significant complication risk and is reserved for patients with the most severe disease physiology refractory to maximal cardiopulmonary *** contraindications to ECLS do exist such as coagulopathy,lethal chromosomal or congenital anomaly,very preterm birth,or very low birth weight,but many of these limits are being evaluated through further *** guidelines from the past decade vary in recommendations for ECLS use in patients with CDH but this therapy appears to have a survival benefit in the most severe subset of *** outcomes have been observed for patients treated at high-volume *** review details the evolving literature surrounding management paradigms for timing of CDH repair for patients receiving preoperative *** recent data support early repair following cannulation to avoid non-repair which is uniformly fatal in this *** ECLS runs are associated with decreased survival,and patient physiology should guide ECLS weaning and eventual decannulation rather than limiting patients to arbitrary run *** of care across centers is a major focus to limit unnecessary costs and improve short-term and long-term outcomes for these complex patients.

关键词： congenital life repair

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Field Study of HPTRM Combined with Vegetation and Anchor to Protect Newly Excavated Expansive Soil Slope

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Journal of Earth Science 2024年第4期35卷 1277-1288页

作者： Yingzi Xu Xuhang Liao Linqiang Tang Lin Li College of Civil&Architectural Engineering Guangxi UniversityNanning530004China Guangxi Key Laboratory of Disaster Prevention and Engineering Safety Nanning530004China Guangxi Transport Vocational and Technical College Nanning530004China Department of Civil&Architectural Engineering Tennessee State UniversityTennessee37209NashvilleUSA

Anchor reinforced vegetation system(ARVS)comprises high performance turf reinforcement mats(HPTRM),vegetation and *** is a new attempt to apply the system in expansive soil slope *** goal of this paper was to evaluate the effectiveness of ARVS in protecting newly excavated expansive soil *** field tests on the bare slope,grassed slope and ARVS protective slope were carried out,including natural and artificial *** the test,the soil water content,soil deformation,and anchor axial force were monitored,and then the slope protection mechanism of ARVS was *** was found that ARVS can effectively protect expansive soil slopes compared with bare slopes and grassed *** vegetation and HPTRM form a reinforced turf,and the anchors fix it to the slope surface,thus restraining the expansion *** axial force on the anchor of ARVS includes frictional resistance and tensile force transmitted by HPTRM,which is maximum at the early stage of *** neutral point of the anchor of ARVS moves deeper under atmospheric action,but the vegetation and HPTRM on the slope surface can limit this movement.

关键词： expansive soil slope anchor reinforced vegetation system high performance turf reinforcement mats field test slope protection

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Explainable artificial intelligence in breast cancer detection and risk prediction:A systematic scoping review

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Cancer Innovation 2024年第5期3卷 1-22页

作者： Amirehsan Ghasemi Soheil Hashtarkhani David L.Schwartz Arash Shaban‐Nejad Department of Pediatrics Center for Biomedical InformaticsCollege of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA The Bredesen Center for Interdisciplinary Research and Graduate Education University of TennesseeKnoxvilleTennesseeUSA Department of Radiation Oncology College of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA

With the advances in artificial intelligence(AI),data‐driven algorithms are becoming increasingly popular in the medical ***,due to the nonlinear and complex behavior of many of these algorithms,decision‐making by such algorithms is not trustworthy for clinicians and is considered a blackbox ***,the scientific community has introduced explainable artificial intelligence(XAI)to remedy the *** systematic scoping review investigates the application of XAI in breast cancer detection and risk *** conducted a comprehensive search on Scopus,IEEE Explore,PubMed,and Google Scholar(first 50 citations)using a systematic search *** search spanned from January 2017 to July 2023,focusing on peer‐reviewed studies implementing XAI methods in breast cancer *** studies met our inclusion criteria and were included in the *** results revealed that SHapley Additive exPlanations(SHAP)is the top model‐agnostic XAI technique in breast cancer research in terms of usage,explaining the model prediction results,diagnosis and classification of biomarkers,and prognosis and survival ***,the SHAP model primarily explained tree‐based ensemble machine learning *** most common reason is that SHAP is model agnostic,which makes it both popular and useful for explaining any model ***,it is relatively easy to implement effectively and completely suits performant models,such as tree‐based *** AI improves the transparency,interpretability,fairness,and trustworthiness of AI‐enabled health systems and medical devices and,ultimately,the quality of care and outcomes.

关键词： breast cancer deep learning explainable artificial intelligence interpretable AI machine learning XAI

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Data driving design of high-entropy alloys for lightweight and dynamic applications

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Science China(Physics,Mechanics & Astronomy) 2024年第2期67卷 10-24页

作者： Kaixuan Cui Junwei Qiao Peter KLiaw Yong Zhang state Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan 030024China Department of Materials Science and Engineering University of TennesseeKnoxville TN 37996USA

The topic of high-entropy alloys is one of the focus for both physics and materials ***-entropy alloys were usually defined as solid solution alloys,while the solid solution is different from the traditional terminal solid solution,because the solid solution without solvent element is the dominant *** discovery of high-entropy alloys greatly extended the composition space and the possibility of creating unique micro-and nano-level structures,which can meet the demands of lightweight and dynamic *** relationship between the phases and the parameters for the high-entropy alloys is rather *** data driving design can screen the specific high-entropy *** correlation between the composition and properties of highentropy alloys can be discovered by material genetic engineering and data science.

关键词： phase-formation rules materials genetic engineering lightweight high-entropy alloys dynamic properties

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Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections

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Computers, Materials & Continua 2024年第5期79卷 1995-2014页

作者： Dmitry Gura Bo Dong Duaa Mehiar Nidal Al Said Department of Cadastre and Geoengineering Kuban State Technological UniversityKrasnodar350072Russian Federation Department of Geodesy Kuban State Agrarian UniversityKrasnodar350072Russian Federation School of Innovation and Entrepreneurship Liaoning UniversityLiaoning110031China Department of IT Middle East UniversityAmman11831Jordan College of Mass Communication Ajman UniversityP.O Box 346AjmanUnited Arab Emirates

The motivation for this study is that the quality of deep fakes is constantly improving,which leads to the need to develop new methods for their *** proposed Customized Convolutional Neural Network method involves extracting structured data from video frames using facial landmark detection,which is then used as input to the *** customized Convolutional Neural Network method is the date augmented-based CNN model to generate‘fake data’or‘fake images’.This study was carried out using Python and its *** used 242 films from the dataset gathered by the Deep Fake Detection Challenge,of which 199 were made up and the remaining 53 were *** seconds were allotted for each *** were 318 videos used in all,199 of which were fake and 119 of which were *** proposedmethod achieved a testing accuracy of 91.47%,loss of 0.342,and AUC score of 0.92,outperforming two alternative approaches,CNN and ***,our method succeeded in greater accuracy than contemporary models such as XceptionNet,Meso-4,EfficientNet-BO,MesoInception-4,VGG-16,and *** novelty of this investigation is the development of a new Convolutional Neural Network(CNN)learning model that can accurately detect deep fake face photos.

关键词： Deep fake detection video analysis convolutional neural network machine learning video dataset collection facial landmark prediction accuracy models

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