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Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

Computers, Materials & Continua 2024年第3期78卷 4225-4241页

作者： Muhammad Armghan Latif Zohaib Mushtaq Saad Arif Sara Rehman Muhammad Farrukh Qureshi Nagwan Abdel Samee Maali Alabdulhafith Yeong Hyeon Gu Mohammed A.Al-masni Department of Computer and Information System Cleveland State UniversityOhio44115USA Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Biomedical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence College of Software and Convergence TechnologySejong UniversitySeoul05006Korea

Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is crucial for effective treatment and patient *** research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection *** forward feature selection,sequential backward feature elimination,and bidirectional feature elimination are investigated in this *** ensemble learning,random forest,adaptive boosting,and bagging classifiers are *** effectiveness of these techniques is evaluated using two different datasets obtained from the university of California Irvine-Machine Learning Repository,both of which undergo preprocessing steps,including outlier removal,addressing missing data,data cleansing,and feature *** experimentation demonstrates the remarkable success of proposed ensemble stacking and bidirectional feature elimination achieving 100%and 99.86%accuracy in identifying hyperthyroidism and hypothyroidism,*** enhancing detection accuracy,the ensemble stacking model also demonstrated a streamlined computational complexity which is pivotal for practical medical *** significantly outperformed existing studies with similar objectives underscoring the viability and effectiveness of the proposed *** research offers an innovative perspective and sets the platform for improved thyroid disorder diagnosis with broader implications for healthcare and patient well-being.

关键词： Ensemble learning random forests boosting dimensionality reduction machine learning smart healthcare computer aided diagnosis

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Ascophyllum nodosum and Fucus vesiculosus ameliorate restenosis via improving inflammation and regulating the PTEN/PI3K/AKT signaling pathway

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Food Science and Human Wellness 2024年第3期13卷 1711-1728页

作者： Crystal Ngofi Zumbi Chun-Hsu Pan Hui-Yu Huang Chieh-Hsi Wu Program in Clinical Drug Development from Herbal Medicine College of PharmacyTaipei Medical UniversityTaipei 11031China Program in Drug Discovery and Development Industry College of PharmacyTaipei Medical UniversityTaipei 11031China School of Pharmacy Taipei Medical UniversityTaipei 11031China Graduate Institute of Metabolism and Obesity Sciences Taipei Medical UniversityTaipei 11031China

Restenosis is a common complication following coronary *** traditional use of seaweeds for health benefits has increasingly been explored,however few studies exist reporting its protective effects on the development of restenosis and gut *** aim of this study was to investigate the potential of seaweed extracts(SE) of Ascophyllum nodosum and Fucus vesiculosus in inhibiting intimal hyperplasia in a rat model of restenosis and its underlying mechanisms in macrophages and vascular smooth muscle cells(vSMCs).16S rRNA sequencing was done to investigate the regulatory effect of SE on the gut microbiome of injured *** indicated by the results,SE significantly inhibited the progression of intimal hyperplasia in vivo,attenuated inflammation in macrophages and could inhibit the proliferation,dedifferentiation and migration of *** was observed through immunoblotting assays that treatment with SE significantly upregulated PTEN expression in macrophages and inhibited the upregulation of PI3K and AKT expression in ***,according to the 16S rRNA gene sequencing analysis,supplementation with SE modulated gut microbiota composition in injured *** conclusion,SE could ameliorate intimal hyperplasia by inhibiting inflammation and vSMCs proliferation through the regulation of the PTEN/PI3K/AKT pathway and modulating the gut microbiome.

关键词： Ascophyllum nodosum Fucus vesiculosus PTEN/PI3K/AKT Restenosis Macrophage Vascular smooth muscle cells Gut microbiota

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NLRP3/1-mediated pyroptosis:beneficial clues for the development of novel therapies for Alzheimer’s disease

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Neural Regeneration Research 2024年第11期19卷 2400-2410页

作者： Bo Hu Jiaping Zhang Jie Huang Bairu Luo Xiansi Zeng Jinjing Jia Department of Pathology and Municipal Key-Innovative Discipline of Molecular Diagnostics Jiaxing Hospital of Traditional Chinese MedicineJiaxing UniversityJiaxingZhejiang ProvinceChina Research Center of Neuroscience Jiaxing University Medical CollegeJiaxingZhejiang ProvinceChina Department of Clinical Pathology Jiaxing University Master Degree Cultivation BaseZhejiang Chinese Medical UniversityJiaxingZhejiang ProvinceChina

The inflammasome is a multiprotein complex involved in innate immunity that mediates the inflammatory response leading to pyroptosis,which is a lytic,inflammatory form of cell *** is accumulating evidence that nucleotide-binding domain and leucine-rich repeat pyrin domain containing 3(NLRP3)inflammasome-mediated microglial pyroptosis and NLRP1 inflammasome-mediated neuronal pyroptosis in the brain are closely associated with the pathogenesis of Alzheimer’s *** this review,we summarize the possible pathogenic mechanisms of Alzheimer’s disease,focusing on *** also describe the structures of NLRP3 and NLRP1 and the role their activation plays in Alzheimer’s ***,we examine the neuroprotective activity of small-molecule inhibitors,endogenous inhibitor proteins,microRNAs,and natural bioactive molecules that target NLRP3 and NLRP1,based on the rationale that inhibiting NLRP3 and NLRP1 inflammasome-mediated pyroptosis can be an effective therapeutic strategy for Alzheimer’s disease.

关键词： Alzheimer’s disease caspase-1 GSDMD inflammasome neuroinflammation NLRP1 NLRP3 pyroptosis therapeutic strategies

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Stability and Time-Step Constraints of Implicit-Explicit Runge-Kutta Methods for the Linearized Korteweg-de Vries Equation

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Communications on Applied Mathematics and Computation 2024年第1期6卷 658-687页

作者： Joseph Hunter Zheng Sun Yulong Xing Department of Mathematics The Ohio State UniversityColumbusOH43210USA Department of Mathematics The University of AlabamaTuscaloosaAL35487USA

This paper provides a study on the stability and time-step constraints of solving the linearized Korteweg-de Vries(KdV)equation,using implicit-explicit(IMEX)Runge-Kutta(RK)time integration methods combined with either finite difference(FD)or local discontinuous Galerkin(DG)spatial *** analyze the stability of the fully discrete scheme,on a uniform mesh with periodic boundary conditions,using the Fourier *** the linearized KdV equation,the IMEX schemes are stable under the standard Courant-Friedrichs-Lewy(CFL)conditionτ≤λ***,λis the CFL number,τis the time-step size,and h is the spatial mesh *** study several IMEX schemes and characterize their CFL number as a function ofθ=d/h^(2)with d being the dispersion coefficient,which leads to several interesting *** also investigate the asymptotic behaviors of the CFL number for sufficiently refined meshes and derive the necessary conditions for the asymptotic stability of the IMEX-RK *** numerical experiments are provided in the paper to illustrate the performance of IMEX methods under different time-step constraints.

关键词： Linearized Korteweg-de Vries(KdV)equation Implicit-explicit(IMEX)Runge-Kutta(RK)method Stability Courant-Friedrichs-Lewy(CFL)condition Finite difference(FD)method Local discontinuous Galerkin(DG)method

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High-efficiency ultra-fast all-optical photonic crystal diode based on the lateral-coupled nonlinear elliptical defect

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Chinese Physics B 2024年第3期33卷 453-458页

作者：李大星刘凯柱余春龙张括刘跃钦冯帅 School of Science Minzu University of ChinaBeijing 100081China Optoelectronics Research Center Minzu University of ChinaBeijing 100081China Engineering Research Center of Photonic Design Software Ministry of EducationBeijing 100081China School of Optoelectronic Engineering and Instrumentation Science Dalian University of TechnologyDalian 116024China

An all-optical Fano-like diode featuring a nonlinear lateral elliptical micro-cavity and a reflecting column in the photonic crystal waveguide is *** asymmetric micro-cavity is constructed by removing one rod and changing the shape of the lateral rod from a circle to an ellipse.A reflecting pillar is also introduced into the waveguide to construct an F-P cavity with the elliptical defect and enhance the asymmetric transmission for the incident light wave transmitting rightwards and leftwards,*** designing the size of the ellipse and optimizing a reflecting rod at a suitable position,a maximum forward light transmittance of-1.14 dB and a minimum backward transmittance of-57.66 dB are achieved at the working wavelength of 1550.47 *** corresponding response time is about 10 ps when the intensity of the pump light beam resonant at 637 nm is 3.97 W/μm2.

关键词： photonic crystal all-optical diode Fano cavity unidirectional transmission

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Ginsenoside modified lipid-coated perfluorocarbon nanodroplets: A novel approach to reduce complement protein adsorption and prolong in vivo circulation

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1845-1863页

作者： Jie Zhou Binyang Gao Huan Zhang Rui Yang Jianbo Huang Xin Li Yi Zhong Yan Wang Xiaoxia Zhu Yan Luo Feng Yan Ultrasound Department of West China Hospital Sichuan UniversityChengdu 610041China Laboratory of Ultrasound Imaging of West China Hospital Sichuan UniversityChengdu 610041China West China Washington Mitochondria and Metabolism Research Center West China HospitalSichuan UniversityChengdu 610041China Research Core Facilities of West China Hospital Sichuan UniversityChengdu 610041China

Lipid-coated perfluorocarbon nanodroplets(lp-NDs)hold great promise in bio-medicine as vehicles for drug delivery,molecular imaging and vaccine ***,their clinical utility is restricted by limited targeted accumulation,attributed to the innate immune system(IIS),which acts as the initial defense mechanism in *** study aimed to optimize lp-ND formulations to mini-mize non-specific clearance by the ***(Gs),the principal components of Panax ginseng,possessing complement inhibition ability,structural similarity to cholesterol,and comparable fat solubi-lity to phospholipids,were used as promising candidate IIS *** different types of ginsenoside-based Ip-NDs(Gs Ip-NDs)were created,and their efficacy in reducing IS recognition was *** Gs p-NDs were observed to inhibit the adsorption of C3 in the protein corona(PC)and the generation of *** Gs to Ip-NDs reduced complement adsorption and phagocytosis,resulting in a longer blood circulation time in vivo compared to lp-NDs that did not contain *** results suggest that Gs can act as anti-complement and anti-phagocytosis adjuvants,potentially reducing non-specific clear-ance by the IS and improving lifespan.

关键词： Lipid-coated perfluorocarbon nanodroplets Protein corona Complement C3 Phagocytosis Ginsenosidelipid-coated perfluorocarbon nanodroplets Innate immune system Complement system Mononuclear phagocytic system

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A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data

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Science China(Technological Sciences) 2024年第2期67卷 449-463页

作者： LIU YunQing QIN ChengJin LIU JinLei JIN YanRui LI ZhiYuan ZHAO LiQun LIU ChengLiang School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Key Labof Artificial Intelligence(Ministryof Education) AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology Shanghai First Peoples Hospital Affiliated to Shanghai Jiao Tong UniversityShanghai 200080China

Although 12-lead electrocardiograms(ECGs)provide a wide range of spatiotemporal characteristics,interpreting them for arrhythmia detection is difficult due to a lack of reliable large-scale clinical ***,we proposed an innovative lightweight computerized ECG interpretation approach based on 12-lead *** model was trained,validated,and tested on 53845 standard 12-lead ECG records collected at Shanghai First People’s Hospital in affiliation with Shanghai Jiao Tong *** experiments revealed that our approach had a classification accuracy of 94.41%in the classification task of seven types of rhythms,which was markedly superior to related single-lead and 12-lead ECG classification ***,the average receiver operating characteristic area under the curve reached a value of 0.940,and the precision values for sinus tachycardia and sinus bradycardia were 0.945 and 0.91,respectively,with specificity values of 0.996 and *** employing our boosting method,we were able to improve the accuracy to 94.85%.To investigate the performance degradation of the proposed neural network in some classes,an ECG cardiologist was enlisted to review questionable ECGs;this process provides a promising direction for network performance ***,the proposed computerized ECG interpretation approach has practical significance because it could help professional physicians analyze patients’heart conditions based on real-time 12-lead ECG or grade their disease severity in advance.

关键词： computerized ECG interpretation large-scale 12-lead clinical ECG database lightweight neural network

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Differential Game Model of Resource Extraction with Continuous and Dynamic Updating

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Journal of the Operations Research Society of China 2024年第1期12卷 51-75页

作者： Ovanes Petrosian Tihomirov Denis Jiang-Jing Zhou Hong-Wei Gao School of Mathematics Harbin Institute of TechnologyHarbin150001HeilongjiangChina School of Automation Qingdao UniversityQingdao266071ShandongChina Faculty of Applied Mathematics and Control Processes Saint-Petersburg State UniversitySaint PetersburgRussia National Research university"High School of Economics" Saint-PetersburgRussia School of Mathematics and Statistics Qingdao UniversityQingdao266071ShandongChina

This paper is devoted to a new class of differential games with continuous and dynamic *** direct application of resource extraction in a case of dynamic and continuous updating is *** is proved that the optimal control(cooperative strategies)and feedback Nash equilibrium strategies uniformly converge to the corresponding strategies in the game model with continuous updating as the number of updating instants converges to *** results are presented for an optimal trajectory(cooperative trajectory),equilibrium trajectory and corresponding payoffs.

关键词： Differential games Dynamic updating Continuous updating Optimal control Feedback Nash equilibrium

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Molecular Mechanism of Polysaccharides Extracted from Chinese Medicine Targeting Gut Microbiota for Promoting Health

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Chinese Journal of Integrative Medicine 2024年第2期30卷 171-180页

作者： ZHAO Wen-xiao WANG Tong ZHANG Ya-nan CHEN Qian WANG Yuan XING Yan-qing ZHENG Jun DUAN Chen-chen CHEN Lijun ZHAO Hai-jun WANG Shijun School of Nursing Shandong University of Traditional Chinese MedicineShandong University of Traditional Chinese MedicineJi'nan(250355)China Shandong Co-innovation Center of Classic Traditional Chinese Medicine Formula Shandong University of Traditional Chinese MedicineJi'nan(250355)China College of Traditional Chinese Medicine Shandong University of Traditional Chinese MedicineJinan(250355)China

The accumulating evidence revealed that gut microbiota plays an important role in pathological process of disease including obesity,type 2 diabetes mellitus,heart failure,and non-alcoholic fatty liver *** extracted from Chinese medicine(CM)can not only alleviate pathological status but also promote health by anti-inflammatory,regulating immunity,lowering blood glucose and lipids,anti-cancer,and *** alterations of gut microbiota composition and metabolism pathways are the potential mechanisms of CM polysaccharides *** addition,they exert functions through gut-organ axis or play an indirect role by synergistic actions with other drugs or components mediated by gut *** review summarizes the molecular mechanisms of CM polysaccharides interacted with intestinal microbial inhabitants as potential prebiotics forpromoting health.

关键词： Chinese medicine polysaccharides gut microbiota short-chain fatty acids lipopolysaccharides gut-organaxis synergistic actions

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Beyond p-y method:A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第9期16卷 3812-3840页

作者： M.E.Al-Atroush A.E.Aboelela Ezz El-Din Hemdan Civil and Environmental Engineering Program Engineering Management DepartmentCollege of EngineeringPrince Sultan UniversityRiyadhSaudi Arabia Department of Structural Engineering Faculty of EngineeringAin Shams UniversityCairoEgypt Structure and Materials Research Lab Prince Sultan UniversityRiyadhSaudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenoufiaEgypt

In 2023,pivotal advancements in artificial intelligence(AI)have significantly *** that in mind,traditional methodologies,notably the p-y approach,have struggled to accurately model the complex,nonlinear soil-structure interactions of laterally loaded large-diameter drilled *** study undertakes a rigorous evaluation of machine learning(ML)and deep learning(DL)techniques,offering a comprehensive review of their application in addressing this geotechnical challenge.A thorough review and comparative analysis have been carried out to investigate various AI models such as artificial neural networks(ANNs),relevance vector machines(RVMs),and least squares support vector machines(LSSVMs).It was found that despite ML approaches outperforming classic methods in predicting the lateral behavior of piles,their‘black box'nature and reliance only on a data-driven approach made their results showcase statistical robustness rather than clear geotechnical insights,a fact underscored by the mathematical equations derived from these ***,the research identified a gap in the availability of drilled shaft datasets,limiting the extendibility of current findings to large-diameter *** extensive dataset,compiled from a series of lateral loading tests on free-head drilled shaft with varying properties and geometries,was introduced to bridge this *** paper concluded with a direction for future research,proposes the integration of physics-informed neural networks(PINNs),combining data-driven models with fundamental geotechnical principles to improve both the interpretability and predictive accuracy of AI applications in geotechnical engineering,marking a novel contribution to the field.

关键词： Laterally loaded drilled shaft load transfer and failure mechanisms Physics-informed neural networks(PINNs) P-y curves Artificial intelligence(AI) Dataset

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