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  1. 421

    Factorization and Closed Form of Quantum Density Operators and Related Multiplicity by Gianfranco Cariolaro, Edi Ruffa

    Published 2025-02-01
    “…A fundamental problem in Quantum Communications is the factorization of such operators of the form <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ρ</mi><mo>=</mo><mi>γ</mi><mspace width="0.166667em"></mspace><msup><mi>γ</mi><mo>*</mo></msup></mrow></semantics></math></inline-formula>, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula> is a matrix called a density factor (DF). The environments considered are finite dimensional Hilbert space (discrete variables) and infinite dimensional Hilbert space (continuous variables). …”
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  2. 422

    Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and cardiometabolic multimorbidity among middle-aged and older adults in... by Xiaoyi Liu, Yanyu Zhang, Deyun Luo, Bingli Chen, Chenyi Lai, Chenyu He, Shiyang Li

    Published 2025-02-01
    “…Abstract Background The ratio of non-high-density lipoprotein cholesterol (non-HDL-C) to high-density lipoprotein cholesterol (HDL-C) (NHHR) served as a novel comprehensive lipid indicator. …”
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  3. 423

    Seismic fragility curves based on the probability density evolution method by Thuat-Cong Dang, Thien-Phu Le, Pascal Ray

    Published 2017-06-01
    “…In this paper, we propose a new technique for construction of seismic fragility curves by numerical simulation using the Probability Density Evolution Method (PDEM). From the joint probability density function between structural response and random variables of a system and/or excitations, seismic fragility curves can be derived without the log-normal assumption. …”
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  4. 424
  5. 425

    EXPERIMENTAL INVESTIGATION ON THE TRI-DIRECTIONAL QUASI-STATIC OF POT-SHAPED METAL RUBBER (MT) by WANG Wei, TANG Yu, WU YiWan, BAI HongBai, LU ChunHong

    Published 2023-01-01
    “…The method of controlling variables to study the effect of preparation process parameters such as relative density, forming angle, wire diameter and compression on the static mechanics of pot-shaped metal rubber was investigated, and the influence of three preparation process parameters on the pot-shaped metal rubber axial and radial static mechanics was revealed by orthogonal test method. …”
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  6. 426
  7. 427

    Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

    Published 2025-06-01
    “…These include vegetation height (seven metrics), vegetation cover (fourteen metrics), and vegetation vertical variability (seven metrics). Additionally, seven metrics describe point density (one metric), eigenvalues (three metrics), and normal vectors (three metrics). …”
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  8. 428

    Representation of pressure field and fluid flows in the proximity of a horizontal well based on the instant point sources by R. I. Nafikov, A. A. Salamatin

    Published 2024-04-01
    “…Series of calculations for constant, linear, and variable permeability cases are analyzed and compared. …”
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  9. 429

    Developing Site-Specific Prescription Maps for Sugarcane Weed Control Using High-Spatial-Resolution Images and Light Detection and Ranging (LiDAR) by Kerin F. Romero, Muditha K. Heenkenda

    Published 2024-10-01
    “…This study aimed to develop site-specific, variable rate prescription maps for weed control using remote sensing. …”
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  10. 430

    An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures by Xue-Yang Pei, Hai-Bin Huang, Peng Cao

    Published 2025-01-01
    “…In structural health monitoring, effectively eliminating the influence of variable environmental conditions on modal frequencies remains a critical challenge for accurate damage identification. …”
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  11. 431

    Effect of geographical parameters on PM10 pollution in European landscapes: a machine learning algorithm-based analysis by Seyedehmehrmanzar Sohrab, Nándor Csikós, Péter Szilassi

    Published 2024-08-01
    “…In suburban landscapes, soil texture, temperature, roads, and rail density play pivotal roles, while meteorological variables, particularly monthly average temperature and wind speed, dominate in urban landscapes. …”
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  12. 432

    A Distributed Machine Learning Model for Blue and Green Water Resources With Transferable Applications in Similar Climatic Zones by Zhibin Li, Haroon Sahotra, Sajjad Ahmad, Wei Wang, Zhe Yang, Pute Wu, Eakalak Khan, La Zhuo

    Published 2025-05-01
    “…Precipitation and spatial encoding are respectively the most sensitive feature variables for the green water and blue water models, while nighttime lights and population density are respectively the most significant human activity‐related features. …”
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  13. 433
  14. 434

    Testing a system for monitoring the operation of hydraulic complexes at hydromechanized mines by V. Р. Drobadenko, А. L. Vilmis, О. А. Lukonina, К. S. Nekoz, I. N. Salakhov

    Published 2024-05-01
    “…These parameters include the flow rate and density of the slurry, which determine the hourly output in terms of the rock mass delivered from open pits for processing. …”
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  15. 435

    Soil Erosion and Spatio-temporal Variations in Huangshui River Basin Based on MODIS and Landsat Data by Du Mei, Zhao Jianyun, Yang Jing, Ding Yuanyuan, Liu Wenhui, Li Guorong, Wang Zushun, Zhao Lijiang

    Published 2022-06-01
    “…[Methods] Based on MODIS and Landsat images, precipitation, population density, and the economy in 2000 and 2018, we used low altitude UAV remote sensing, the RUSLE model, and geostatistics to calculate, validate, and analyze the spatio-temporal variability of a soil erosion model in the Huangshui River basin. …”
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  16. 436

    The Radiowave Hunt for Young Stellar Object Emission and Demographics (RADIOHEAD): A Radio Luminosity–Spectral Type Dependence in Taurus–Auriga YSOs by Ramisa Akther Rahman, Joshua Bennett Lovell, Eric W. Koch, David J. Wilner, Sean M. Andrews, Kristina Monsch, Dan Ha

    Published 2025-01-01
    “…We present cumulative density distributions of radio luminosity densities that demonstrate a significant luminosity enhancement for early- versus late-type YSOs. …”
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  17. 437

    Enhancing Traffic Flow in Heterogeneous Freeways: Integration of Multivariable Extremum Seeking and Filtered Feedback Linearization Control by Pouria Karimi Shahri, Arash Rahmanidehkordi, Azad Ghaffari, Amir H. Ghasemi

    Published 2025-01-01
    “…At the upper level, a distributed multi-variable extremum seeking (DMV-ES) control approach determines the optimal densities for different class of vehicles within controlled traffic cells to maximize overall traffic flow while minimizing flow variations between adjacent cells. …”
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  18. 438

    Human density and sampling time explain richness of anurans in the brazilian biomes by Arielson dos Santos Protázio, Lennise Costa Conceição, Airan dos Santos Protázio

    Published 2021-06-01
    “…We used principal component factorization and regressive and autoregressive models to select the most relevant variables for ex-plaining anuran richness. Richness was correlated with demographic density, vegetation, accumulated rainfall, accumulated rainfall in the third and fourth quarter of the year, and accumulated rainfall in the first and second half of the year. …”
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  19. 439

    EFFECT OF DENSITY ON ACCUMULATION OF BASAL AREA OF STAND OF PINE IN NORTHERN IRAQ by Maha Ali Mahmood

    Published 2011-06-01
    “…In Northern of Iraqi to determinate on accumulation the effect of density between trees for the growth of basal area for the length of rotation of trees. …”
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  20. 440

    Implementation of Structural Assemblies by Simultaneous Projection and Density-Based Topology Optimization by Nouman Saeed, Kai Long, Jamshed Ahmed Ansari, Nasif Raza Jaffri, Usama Abrar

    Published 2021-01-01
    “…This methodology contains an effective explicit geometric entity identified by shape variables that provide easy control in desired particular regions; implicit density-based topological optimization entities utilized topological variables that offer critical design elsewhere. …”
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