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Systemic modulation of skeletal mineralization by magnesium implant promoting fracture healing: radiological exploration enhanced with PCA-based machine learning in a rat femoral model

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Journal of Magnesium and Alloys 2024年第3期12卷 1009-1020页

作者： Yu Sun Heike Helmholz regine Willumeit-römer Institute of Metallic Biomaterials Helmholtz-Zentrum HereonGermany

The clinical application of magnesium(Mg)and its alloys for bone fractures has been well supported by in vitro and in vivo ***,there were studies indicating negative effects of high dose Mg intake and sustained local release of Mg ions on bone metabolism or repair,which should not be ignored when developing Mg-based ***,it remains necessary to assess the biological effects of Mg implants in animal models relevant to clinical treatment *** primary purpose of this study was to validate the beneficial effects of intramedullary Mg implants on the healing outcome of femoral fractures in a modified rat *** addition,the mineralization parameters at multiple anatomical sites were evaluated,to investigate their association with healing outcome and potential clinical *** to the control group without Mg implantation,postoperative imaging at week 12 demonstrated better healing outcomes in the Mg group,with more stable unions in 3d analysis and high-mineralized bridging in 2d *** bone tissue mineral density(TMd)was higher in the Mg group at the non-operated femur and lumbar vertebra,while no differences between groups were identified regarding the bone tissue volume(TV),TMd and bone mineral content(BMC)in *** the surgical femur,the Mg group presented higher TMd,but lower TV and BMC in the distal metaphyseal region,as well as reduced BMC at the osteotomy *** component analysis(PCA)-based machine learning revealed that by selecting clinically relevant parameters,radiological markers could be constructed for differentiation of healing outcomes,with better performance than 2d *** study provides insights and preclinical evidence for the rational investigation of bioactive materials,the identification of potential adverse effects,and the promotion of diagnostic capabilities for fracture healing.

关键词： Magnesium Implants Bone fracture Mineralization Systemic modulation Principal component analysis.

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Comparative analysis of breast and lung cancer survival rates and clinical trial enrollments among rural and urban patients in Georgia

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Oncology research 2024年第9期32卷 1401-1406页

作者： TATIANA KUrILO rEBECCA d.PENTZ Winship Cancer Institute Emory University School of MedicineEmory UniversityAtlanta30322USA

Objectives:rural patients have poor cancer outcomes and clinical trial(CT)enrollment compared to urban patients due to attitudinal,awareness,and healthcare access *** of cancer survival disparities and CT enrollment is important for designing interventions and innovative approaches to address the stated *** study explores the potential disparities in cancer survival rates and clinical trial enrollments in rural and urban breast and lung cancer *** hypotheses are that for both cancer types,urban cancer patients will have longer 5-year survival rates and higher enrollment rates in clinical trials than those in rural ***:We compared breast and lung cancer patients’survival rates and enrollment ratios in clinical trials between rural(rUCC 4-9)and urban counties in Georgia at a Comprehensive Cancer Center(CCC).To assess these differences,we carried out a series of independent samples t-tests and Chi-Square ***:The outcomes indicate comparable 5-year survival rates across rural and urban counties for breast and lung cancer patients,failing to substantiate our *** clinical trial enrollment rates demonstrated a significant difference between breast and lung cancer patients at CCC,no significant variation was observed based on rural or urban ***:These findings underscore the need for further research into the representation of rural patients with diverse cancer types at CCC and other cancer ***,the findings have considerable implications for the initiation of positive social change to improve CT participation and reduce cancer survival disparities.

关键词： Cancer Cancer survival rates Clinical trial enrollment rural patients Health disparities Barriers to clinical trial participation Geographic disparities

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Sex differences in Alzheimer's disease:an urgent research venue to follow

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Neural regeneration research 2024年第12期19卷 2569-2570页

作者： raquel Jiménez-Herrera Ana Contreras Juan d.Navarro-López Lydia Jiménez-díaz Neurophysiology&Behavior Lab University of Castilla-La ManchaSchool of Medicine of Ciudad RealCiudad RealSpain

due to increasing life expectancy,the amount of people with dementia worldwide is expected to experience a substantial rise,with estimates indicating a growth from 55 million in 2019 to a staggering 139 million by the... 详细信息

关键词： Alzheimer predominant estimates

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development and application of feature engineered geological layers for ranking magmatic,volcanogenic,and orogenic system components in Archean greenstone belts

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Geoscience Frontiers 2024年第2期15卷 251-273页

作者： r.M.Montsion S.Perrouty M.d.Lindsay M.W.Jessell r.Sherlock Mineral Exploration research Centre Harquail School of Earth SciencesGoodman School of MinesLaurentian UniversitySudburyOntario P3E 2C6Canada Centre for Exploration Targeting School of Earth SciencesThe University of Western Australia35 Stirling HighwayCrawley 6009Australia Commonwealth Scientific and Industrial research Organization Mineral Resources26 Dick Perry AveKensingtonWA 6151Australia ArC Centre for data Analytics for resources and Environments(dArE) Perth and SydneyAustralia

Geologically representative feature engineering is a crucial component in geoscientific applications of machine *** commonly applied feature engineering techniques used to produce input variables for machine learning apply geological knowledge to generic data science techniques,which can lead to ambiguity,geological oversimplification,and/or compounding subjective *** that utilize minimally processed input variables attempt to overcome these issues,but often lead to convoluted and uninterpretable *** address these challenges,new and enhanced feature engineering methods were developed by combining geological knowledge,understanding of data limitations,and a variety of data science *** include non-Euclidean fluid pre-deformation path distance,rheological and chemical contrast,geologically constrained interpolation of characteristic host rock geochemistry,interpolation of mobile element gain/loss,assemblages,magnetic intensity,structural complexity,host rock physical *** methods were applied to compiled open-source and new field observations from Archean greenstone terranes in the Abitibi and western Wabigoon sub-provinces of the Superior Province near Timmins and dryden,Ontario,*** feature maps represent conceptually significant components in magmatic,volcanogenic,and orogenic mineral systems.A comparison of ranked feature importance from random forests to conceptual mineral system models show that the feature maps adequately represent system components,with a few exceptions attributed to biased training data or limited constraint *** study also highlights the shared importance of several highly ranked features for the three mineral systems,indicating that spatially related mineral systems exploit the same features when *** feature importance when classifying orogenic Au mineralization in Timmins and dryden provides insights into the possible cause of contrasting endowment be

关键词： Machine learning random forests Mineral systems Magmatic Ni-Cu-PGE Volcanogenic Massive Sulfide(VMS)Cu-Zn-Pb-Ag(-Au) Orogenic Au Abitibi Wabigoon

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design of computer vision assisted machine learning based controller for the Stewart platform to track spatial objects

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Frontiers of Structural and Civil Engineering 2024年第8期18卷 1195-1208页

作者： dev Kunwar Singh CHAUHAN Pandu r.VUNdAVILLI Indian Institute of Technology Bhubaneswar Bhubaneswar 752050India

The present work aims to develop an object tracking controller for the Stewart platform using a computer vision-assisted machine learning-based *** research is divided into two *** first module focuses on the design of a motion controller for the Physik Instrumente(PI)-based Stewart *** contrast,the second module deals with the development of a machine-learning-based spatial object tracking algorithm by collecting information from the Zed 2 stereo vision ***,simple feed-forward neural networks(NN)are used to predict the orientation of the top table of the *** training,the x,y,and z coordinates of the three-dimensional(3d)object,extracted from images,are used as the input to the *** contrast,the orientation information of the platform(that is,rotation about the x,y,and z-axes)is considered as the output from the *** orientation information obtained from the network is fed to the inverse kinematics-based motion controller(module 1)to move the platform while tracking the *** training,the optimised NN is used to track the continuously moving 3d *** experimental results show that the developed NN-based controller has successfully tracked the moving spatial object with reasonably good accuracy.

关键词： Stewart platform feed-forward neural networks motion controller inverse kinematics stereo vision

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Soil security and global food security

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Frontiers of Agricultural Science and Engineering 2024年第2期11卷 297-302页

作者： david r.MONTGOMErY department of Earth and Space Sciences University of Washington townSeattleWA 98105USA

Over the course of the postglacial period has managed to add degrade a substantial portion of the world's potential agricultural land. The soil loss and degradation that has repeatedly impacted regional societies around the world resulted from agricultural practices that increased the physical loss of soil(erosion), reduced soil organic matter, changed p H(acidification) or salinity,and disrupted or altered communities of soil life. In the coming century, as continued soil degradation threatens global food security while the global population keeps rising it is imperative that farmers develop and adopt soilhealth building(regenerative) practices to solve a problem that has plagued societies throughout history. Growing evidence suggests that agricultural systems that combine cover crops, reduced tillage, and diverse crop rotations can reduce erosion, enhance soil health and rebuild soil organic matter to cultivate beneficial soil life and harvest both economic and environmental benefits. In the coming post-oil world, global food security would benefit from a global effort to promote soil restoration to help addresses the challenge of sustainably feeding the world, increase soil-based carbon sequestration,protect on-farm biodiversity and reduce off-farm water pollution. Because soil security sets a solid foundation for global food security, agricultural policies and subsidies should be reformed to encourage farmers to adopt regenerative,soil-building practices.

关键词： Agriculture soil security food security regenerative

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MArT(Splitting-Merging Assisted reliable)Independent Component Analysis for Extracting Accurate Brain Functional Networks

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Neuroscience Bulletin 2024年第7期40卷 905-920页

作者： Xingyu He Vince d.Calhoun Yuhui du School of Computer and Information Technology Shanxi UniversityTaiyuan 030006China Tri-Institutional Center for Translational research in Neuroimaging and data Science Georgia State UniversityGeorgia Institute of TechnologyEmory UniversityAtlanta 30303USA

Functional networks(FNs)hold significant promise in understanding brain *** component analysis(ICA)has been applied in estimating FNs from functional magnetic resonance imaging(fMrI).However,determining an optimal model order for ICA remains challenging,leading to criticism about the reliability of FN ***,we propose a SMArT(splitting-merging assisted reliable)ICA method that automatically extracts reliable FNs by clustering independent components(ICs)obtained from multi-model-order ICA using a simplified graph while providing linkages among FNs deduced from different-model *** extend SMArT ICA to multi-subject fMrI analysis,validating its effectiveness using simulated and real fMrI *** on simulated data,the method accurately estimates both group-common and group-unique components and demonstrates robustness to *** two age-matched cohorts of resting fMrI data comprising 1,950 healthy subjects,the resulting reliable group-level FNs are greatly similar between the two cohorts,and interestingly the subject-specific FNs show progressive changes while age ***,both small-scale and large-scale brain FN templates are provided as benchmarks for future *** together,SMArT ICA can automatically obtain reliable FNs in analyzing multi-subject fMrI data,while also providing linkages between different FNs.

关键词： Independent component analysis Functional magnetic resonance imaging-Brain functional networks Clustering Multi-model-order

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Are population cycles recovering?

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Integrative Zoology 2024年第3期19卷 538-547页

作者： Vasily d.YAKUSHOV Boris I.SHEFTEL A.N.Severtsov Institute of Ecology and Evolution of the russian Academy of Sciences MoscowRussia

The dynamics of populations of small mammals of Central Siberia was *** studies were carried out at the Yenisei ecological station“Mirnoye”of the *** Institute of Ecology and Evolution,russian Academy of *** time series analysis was performed by the wavelet transform using the statistical data processing language *** the 20th century,the dynamics of the population of the community and some of its constituent species(Sorex araneus;***;***;***;***;Craseomys rufocanus;Clethrionomys rutilus;Microtus oeconomus;***)were characterized by a 4-year *** type of dynamics changed to noncyclic by the nineties,but by 2022,four species(***,***,***,and ***)and the community as a whole showed a tendency toward recovery of population *** remaining species were characterized by consistently low numbers with irregular low amplitude fluctuations.

关键词： population cycles small mammals time-series analysis wavelet transform

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Highly toxic Aβ begets more Aβ

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Neural regeneration research 2024年第9期19卷 1871-1872页

作者： Merc M.Kemeh Noel d.Lazo Gustaf H.Carlson School of Chemistry and Biochemistry Clark UniversityWorcesterMAUSA

Alzheimer’s disease(Ad)is the most common form of dementia-the 7th leading cause of death *** the tissue level,Ad is characterized by the presence of extracellular amyloid plaques that are comprised primarily of the amyloid-βpeptide(Aβ),and by intraneuronal neurofibrillary tangles composed of *** genetics of early-onset Ad and longitudinal brain-imaging studies of late-onset Ad indicate that extracellular Aβdeposition,in general,precedes neurofibrillary tangle formation in neurons(Hampel et al.,2021;Young-Pearse et al.,2023).

关键词： Aβ tau Alzheimer death

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The multi-impurity system in CdSe nanoplatelets:electronic structure and thermodynamic properties

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Communications in Theoretical Physics 2024年第3期76卷 165-173页

作者： d A Baghdasaryan V A Harutynyan E M Kazaryan H A Sarkisyan russian-Armenian University H Emin 1230051YerevanArmenia Institute of Applied Problems of Physics 25 Nersisyan St0014YerevanArmenia

This paper theoretically studies the impurity states and the effects of impurity concentration and configuration on the optical,electrical,and statistical properties of CdSe nanoplatelets(NPLs).An image charge-based model of electron-impurity interaction is *** charge-carrier energy spectra and corresponding wave functions depending on the impurity number and configuration are *** electron binding energies are calculated for different NPL *** is shown that the image charge-based interaction potential that arises due to the dielectric constants mismatch is much stronger than the interaction potential that does not take such a mismatch into ***,it is demonstrated that the binding energies are increasing with the number of *** calculate the canonical partition function using the energy levels of the electron,which in turn is used to obtain the mean energy,heat capacity,and entropy of the non-interacting electron *** thermodynamic properties of the non-interacting electron gas that depend on the geometric parameters of the NPL,impurity number,configuration,and temperature are studied.

关键词： nanoplateletes thermodynamic properties impurity states

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