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Applying Machine Learning Approach to Explore Childhood Circumstances and Self-Rated Health in Old Age-China and the US,2020-2021

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China CDC weekly 2024年第11期6卷 213-218,I0008-I0013页

作者： Shutong Huo Derek Feng Thomas M.gill Xi Chen Department of Health Society&BehaviorPublic HealthUniversity of CaliforniaIrvineCAUSA Department of Statistics and Data Science Yale UniversityNew HavenCTUS Department of Internal Medicine Yale School of MedicineNew HavenCTUS Department of Health Policy and Management Yale School of Public HealthNew HavenCTUS Department of Economics Yale UniversityNew HavenCTUS.

Introduction:Childhood circumstances impact senior health,prompting the introduction of machine learning methods to assess their individual and collective contributions to senior ***:Using health and retirement study(HRS)and China Health and Retirement Longitudinal Study(CHARLS),we analyzed 2,434 American and 5,612 Chinese participants aged 60 and *** inference trees and forests were employed to estimate the influence of childhood circumstances on self-rated health(SRH).Results:The conventional method estimated higher inequality of opportunity(IOP)values in both China(0.039,accounting for 22.67%of the total Gini coefficient 0.172)and the US(0.067,accounting for 35.08%of the total Gini coefficient 0.191).In contrast,the conditional inference tree yielded lower estimates(China:0.022,accounting for 12.79%of 0.172;US:0.044,accounting for 23.04%of 0.191),as did the forest(China:0.035,accounting for 20.35%of 0.172;US:0.054,accounting for 28.27%of 0.191).Childhood health,financial status,and regional differences were key determinants of senior *** conditional inference forest consistently outperformed others in predictive accuracy,as demonstrated by lower out-of-sample mean squared error(MSE).Discussion:The findings emphasize the need for early-life interventions to promote health equity in aging *** learning showcases the potential in identifying contributing factors.

关键词： collective inequality estimates

Design of a Lightweight Compressed Video Stream-Based Patient Activity Monitoring System

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Computers, Materials & Continua 2024年第1期78卷 1253-1274页

作者： Sangeeta Yadav Preeti Gulia Nasib Singh gill Piyush Kumar Shukla Arfat Ahmad Khan Sultan Alharby Ahmed Alhussen Mohd Anul Haq Department of Computer Science&Applications Maharshi Dayanand UniversityRohtak124001India University Institute of Technology Rajiv Gandhi Proudyogiki VishwavidyalayaBhopal462033India Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia

Inpatient falls from beds in hospitals are a common *** falls may result in severe *** problem can be addressed by continuous monitoring of patients using *** advancements in deep learning-based video analytics have made this task of fall detection more effective and *** with fall detection,monitoring of different activities of the patients is also of significant concern to assess the improvement in their *** computation-intensive models are required to monitor every action of the patient *** requirement limits the applicability of such ***,to keep the model lightweight,the already designed fall detection networks can be extended to monitor the general activities of the patients along with the fall *** by the same notion,we propose a novel,lightweight,and efficient patient activity monitoring system that broadly classifies the patients’activities into fall,activity,and rest classes based on their *** whole network comprises three sub-networks,namely a Convolutional Neural Networks(CNN)based video compression network,a Lightweight Pose Network(LPN)and a Residual Network(ResNet)Mixer block-based activity recognition *** compression network compresses the video streams using deep learning networks for efficient storage and retrieval;after that,LPN estimates human ***,the activity recognition network classifies the patients’activities based on their *** proposed system shows an overall accuracy of approx.99.7% over a standard dataset with 99.63% fall detection accuracy and efficiently monitors different events,which may help monitor the falls and improve the inpatients’health.

关键词： Fall detection activity recognition human pose estimation accuracy

Land surface temperature and spectral indices: A seasonal study of Raipur City

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基于CWT-CARS-CNN综合方法的矿区土壤煤源碳质量分数高光谱估测

Geodesy and Geodynamics 2022年第1期

作者： Subhanil Guha Himanshu Govil Ajay Kumar Taloor neetu gill Anindita Dey

来源：博看期刊评论

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河南理工大学学报（自然科学版） 2024年第3期43卷 91-100页

作者：聂小军洪雯雯 gill Ammara 于海洋陈晓东河南理工大学测绘与国土信息工程学院河南焦作454000

目的目前,尚无可靠方法定量识别土壤中煤源碳,为此,方法采集焦作矿区耕地土壤,配制249个不同质量分数的煤源碳土壤样品,利用ASD FieldSpec4获取样品光谱数据,采用连续小波变换(continuous wavelet transform,CWT)-竞争性自适应重加权采... 详细信息

目的目前,尚无可靠方法定量识别土壤中煤源碳,为此,方法采集焦作矿区耕地土壤,配制249个不同质量分数的煤源碳土壤样品,利用ASD FieldSpec4获取样品光谱数据,采用连续小波变换(continuous wavelet transform,CWT)-竞争性自适应重加权采样(competitive adaptive reweighted sampling,CARS)-卷积神经网络(convolutional neural networks,CNN)方法估测土壤中煤源碳质量分数,并对比CWT-CARS-CNN方法与传统光谱指数法构建的煤源碳估测模型估测效果,检验CWT-CARS-CNN估测模型的适用性。结果结果表明:350~2500 nm波段内,煤与土壤光谱特征截然不同,含煤土壤样品光谱反射率随煤源碳质量分数增加而降低;CWT方法提高了光谱对土壤煤源碳的敏感性,CARS方法提取的煤源碳敏感波段数量明显增加,基于CWT-CARS-CNN方法的煤源碳质量分数估测模型精度明显高于传统光谱指数法的;以L8分解尺度构建的CWT-CARS-CNN模型精度最高,验证集R2=0.9993,RPD=40.3081。结论基于CWT-CARS-CNN的高光谱估测方法能较准确地估测矿区不同土地利用类型下土壤中的煤源碳质量分数,可为“双碳”背景下矿区土壤碳固存与肥力评估提供参考。

关键词：煤源碳碳固存高光谱估测深度学习矿区土壤

Identification of Rhizobia Isolated from Nodules of Mexican Commercial Soybean Varieties

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American Journal of Plant Sciences 2024年第1期15卷 29-45页

作者： Cecilia Vázquez Rodríguez Lourdes Vital López Jesús Gerardo García Olivares Homar Rene gill Langarica Laboratorio de Biotecnología Vegetal Centro de Biotecnología Genómica Instituto Politécnico Nacional Reynosa México Carrera de Mantenimiento Industrial Universidad Tecnológica de Tamaulipas Norte Universidad Tecnológica Reynosa México

Rhizobia, crucial for nitrogen fixation in leguminous plants, play a vital role in soybean cultivation. This study, conducted in Mexico, a major soybean importer, aimed to identify bacteria from nodules of five soybean varieties in high-production regions. Multilocus sequence analysis (MLSA) was employed for enhanced species resolution. The study identified six Bradyrhizobium species: Bradyrhizobium japonicum USDA 110, Bradyrhizobium japonicum USDA 6, Bradyrhizobium elkanii USDA 76, Bradyrhizobium neotropicale, Bradyrhizobium lablabi, and Bradyrhizobium icense. Bradyrhizobium japonicum USDA 110 predominated in the soils, displaying symbiotic preference for the Huasteca 400 variety. However, phylogenetic analysis didn't reveal a clear association between strains, soil, and soybean variety. This research sheds light on the diversity of rhizobia in Mexican soybean cultivation, contributing to the understanding of symbiotic relationships in soybean production systems.

关键词： Nodules Soybean Housekeeping Genes MLSA Rhizobia Bradyrhizobium Nitrogen Fixation Symbiosis Phylogenetic Analysis

Rethinking Enterprise Architecture for Sustainable Energy System Development

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Journal of Electronic Science and Technology 2015年第3期13卷 212-220页

作者： Jovita Vasauskaite Asif Qumer gill Kaunas University of Technology University of Technology Sydney

The development of a sustainable energy system throughout an enterprise is a complex task, which requires an agile holistic approach. Such an approach needs to include a variety of objectives including energy strategy formation and strategic decision-making, which are directly related to the analysis and management of the main areas of sustainable development： The economic, technological, environmental, and social. These multidimensional requirements of sustainability are often difficult to achieve within the enterprise, because these aspects are interrelated and influenced by various internal and external environment factors. This paper first reviews the main challenges for an energy system, and then demonstrates how a strategic agile enterprise architecture driven approach could effectively guide the sustainable energy system development. The study presented in this paper provides a holistic approach that contributes to the advancement and usage of literature dealing with issues of sustainable energy system development and agile enterprise architecture, which has not been discussed before to any great extent.

关键词： Development energy system,enterprise architecture industry sustainability.

Study of obliquely propagating electron acoustic shock waves with non-extensive electron population

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Plasma Science and Technology 2019年第1期21卷 29-35页

作者： Sona BANSAL Munish AGGARWAL Tarsem S gill Sikh National College Research Scholar I K Gujral Punjab Technical University Department of Applied Science Lyallpur Khalsa College of Engineering Department of Physics Guru Nanak Dev University

Obliquely propagating electron acoustic shock waves in magnetized plasma composed of stationary ions, cold and non-extensive hot electrons are investigated by deriving Korteweg–de Vries Burgers(KdVB) equation. The tangent hyperbolic method is used to solve the KdVB equation in dissipative medium. The dissipation effect is introduced in the model by means of kinematic viscosity term. The analytical calculations of the KdVB equation shows that the structures(amplitude, velocity and width) of the shock waves are modified significantly with kinematic viscosity(η_0), obliqueness(k_z) and magnetic field(ω_c). Since plasmas are ubiquitously permeated with magnetic field, it is pertinent to explore the characteristics of KdVB equation in a magnetized plasmas.

关键词： dissipative medium non-extensive electrons tangent hyperbolic method

Photophysical,optical,and photocatalytic hydrogen production properties of layered-type BaNb_(2-x)Ta_(x)P_(2)O_(11)(x=0,0.5,1.0,1.5,and 2.0)compounds

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Journal of Materials Science & Technology 2022年第3期98卷 26-32页

作者： Min Je Kang gill Sang Han In Sun Cho Department of Materials Science and Engineering Ajou UniversitySuwon 16499Republic of Korea Department of Energy Systems Research Ajou UniversitySuwon 16499Republic of Korea School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwon 16419Republic of Korea

Layered-type metal phosphates of BaNb_(2-x)Ta_(x)P_(2)O_(11)(x=0,0.5,1.0,1.5,and 2.0)were synthesized using a solid-state reaction *** photophysical,optical,and photocatalytic hydrogen production properties of the resulting powders were investigated for the first ***-pure and homogeneous powders with irregular morphologies were obtained at a calcination temperature of 1200℃.As the Ta content increased,the interlayer distance along the c-axis increased by up to 0.14%.Additionally,the optical bandgap values increased from 3.32 to 3.59 *** energy band positions were estimated from the Mott–Schottky ***_(2)P_(2)O_(11)(x=0)exhibited the lowest conduction band edge position(-0.14 V *** normal hydrogen electrode,NHE),which is located above the water reduction potential(0.0 V ***).In comparison,BaTa_(2)P_(2)O_(11)(x=2.0)exhibited the highest conduction band edge position(-0.29 V ***),comparable to that of TiO_(2).The photocatalytic activity for hydrogen produced from splitting water was measured under ultraviolet light ***,BaTa_(2)P_(2)O_(11)exhibited the highest activity(7.3μmol/h),which was 15 and 10 times larger than BaNb_(2)P_(2)O_(11)(0.5μmol/h)and nano-TiO_(2)(0.7μmol/h),*** activity of BaTa_(2)P_(2)O_(11)increased to 24.4μmol/h after deposition of the NiO_(x)co-catalyst(1 wt.%),which remained stable during continuous operation(~35 h).

关键词： BaNb_(2)P_(2)O_(11) BaTa_(2)P_(2)O_(11) Layered crystal structure Bandgap Band edge positions Photocatalytic hydrogen production

Enabling silicon photoanodes for efficient solar water splitting by electroless-deposited nickel

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Nano Research 2018年第6期11卷 3499-3508页

作者： Jiheng Zhao Thomas Mark gill Xiaolin Zheng Department of Mechanical Engineering Stanford University Stanford 9430S USA

Enabling Si photoanodes for efficient solar water oxidation would facilitate the development of solar fuel conversion, but it is challenging owing to Si surface passivation via photo-induced corrosion in aqueous electrolytes. To overcome this challenge, most approaches have focused on improving the stability of Si by coating dense and thin protective layers using high vacuum-based techniques such as atomic layer deposition. However, these procedures are costly, making scalability for practical applications difficult. Herein, we report a modified electroless deposition （ELD） method to uniformly deposit protective and catalytic Ni films on Si wafers, resulting in efficient and stable Si photoanodes for solar water oxidation. The optimized Ni/n-Si photoanode achieves an onset potential of -1.09 V vs. a reversible hydrogen electrode and a saturation current density of -27.5 mA/cm^2 under AM 1.5 G illumination at pH 14. The ELD method is additionally capable of Ni deposition on a 4-inch n-Si wafer, demonstrating the first 4-inch Si photoanode. The solar water oxidation of the ELD-Ni/n-Si photoanode can be further improved by surface texturing, built-in n-p junctions, or coupling with more efficient catalysts.

关键词： Ni deposition electroless plating Si photoanode oxygen evolution reaction (OER) photoelectrochemical water splitting