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  1. 1001

    Culturas de cobertura e qualidade física de um Latossolo em plantio direto Cover crops and physical quality of a Latosol under no-tillage by Rui da S. Andrade, Luís F. Stone, Pedro M. da Silveira

    Published 2009-08-01
    “…Among the cover crops, pigeon pea, C. juncea, and corn associated with B. brizantha were those that maintained soil surface layer with good physical quality.…”
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  2. 1002
  3. 1003

    Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

    Published 2025-05-01
    “…Several ConvMixer layers are also integrated into the end of the backbone network and the detection head. …”
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  4. 1004

    Advancing CH<sub>4</sub> and N<sub>2</sub>O retrieval strategies for NDACC/IRWG FTIR observations with the support of airborne in situ measurements by I. Ortega, J. W. Hannigan, B. C. Baier, K. McKain, D. Smale

    Published 2025-06-01
    “…Uncertainty budgets combining random and systematic sources are provided. Random errors, mainly stemming from temperature profile uncertainties and measurement noise, dominate in the troposphere for both gases, with a retrieval random error of 0.5 %. …”
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  5. 1005

    Design and verification of HDLC data frame parallel search and decapsulation module by Qian Yong, Liu Wei

    Published 2022-01-01
    “…The article follows the HDLC standard data link layer specification, uses the hardware description language Verilog HDL to implement a parallel structure-based HDLC frame search and decapsulation circuit, and uses System Verilog technology to build a verification platform, and randomly generates HDLC data frames to verify the correctness of the design. …”
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    Article
  6. 1006

    Crescimento inicial de Acácia em condicionador formado de fibra de coco e resíduo agregante Initial growth of Acacia mangium Willd in soil conditioner formed of coconut fiber and a... by Rômulo F. Duarte, Regynaldo A. Sampaio, Delacyr da S. Brandão Júnior, Luiz A. Fernandes, Humberto P. da Silva

    Published 2010-11-01
    “…<br>The purpose of this work was to evaluate litter layer (soil conditioner) formed of coconut fiber and aggregating residue with different substrate in the initial growth of Acacia mangium Willd plants. …”
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  7. 1007

    Crescimento de plantas de cobertura sob diferentes níveis de compactação em um Latossolo Vermelho Growth of cover crops under different levels of soil compaction of a Typic Red Lat... by Rodrigo L. Jimenez, Wainer G. Gonçalves, Jerônimo V. de Araújo Filho, Renato L. de Assis, Fábio R. Pires, Gilson P. Silva

    Published 2008-04-01
    “…The compaction of the subsurface soil was restrictive to the root growth of the studied species, concentrating them in the upper layer. The Pennisetum glaucum cultivar ADR 300 excelled in the production of dry matter and was able to develop in the compacted layers and below them. …”
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    Article
  8. 1008

    Vanishing performance of the parity-encoded quantum approximate optimization algorithm applied to spin-glass models by Elisabeth Wybo, Martin Leib

    Published 2024-12-01
    “…In particular, we show that for fixed number of parity-encoded QAOA layers, the performance or the output energy, vanishes towards zero (the value achieved by random guessing) with problem size $N$ as $N^{-1/2}$. …”
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  9. 1009

    Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat by Yuanyuan Pan, Jingyu Li, Jiayi Zhang, Jiaoyang He, Zhihao Zhang, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao, Yongchao Tian

    Published 2024-01-01
    “…The linear regression (LR) and random forest regression (RF) models were constructed to estimate the LNA for each individual leaf layer. …”
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  10. 1010

    On path length, beam divergence, and retroreflector array size in open-path FTIR spectroscopy by C. E. N. Power, C. E. N. Power, A. Wiacek, A. Wiacek

    Published 2025-06-01
    “…<p>Open-path Fourier transform infrared (OP-FTIR) spectroscopy is an established technique used to measure boundary layer trace gas concentrations, consisting (in this work) of a spectrometer with an active mid-IR source coupled to a single transmitting and receiving telescope, as well as a cube-corner retroreflector array separated from the spectrometer and telescope by an atmospheric path. …”
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  11. 1011

    Statistical Methods for Interpreting Spatial and Temporal Heterogeneity of Martian Tropical Water Ice Informed by Properties of Crater Ejecta Types by Jamie D. Riggs, Michelle R. Kirchoff

    Published 2024-11-01
    “…The spatial and temporal distribution of layered ejecta versus radial ejecta may inform on the geography and evolution of ice. …”
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    Article
  12. 1012

    Labor companionship utilization and healthcare providers perceptions in Gondar public health facilities: a mixed method study by Fasika Alemu Mekonen, Melaku Hunie Asratie, Negalgn Byadgie Gelaw, Bayew Kelkay Rade

    Published 2025-08-01
    “…Methods A mixed study design was conducted from December 1/2022 to January 30, 2023. We used simple random sampling techniques (lottery method) to select health facilities and systematic random sampling techniques to select study participants. …”
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  13. 1013

    Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model by Muhammad Akram Ab Kadir, Rosliza Abdul Manaf, Siti Aisah Mokhtar, Luthffi Idzhar Ismail

    Published 2025-03-01
    “…These data were integrated into ArcGIS Pro as thematic layers. Machine learning algorithms, including support vector machine (SVM), Random Forest (RF), and light gradient boosting machine (LGBM) were employed to develop predictive models for leptospirosis hotspot areas. …”
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    Article
  14. 1014

    Carbon Fiber Reinforced Polymer with Shredded Fibers: Quasi-Isotropic Material Properties and Antenna Performance by Gerald Artner, Philipp K. Gentner, Johann Nicolics, Christoph F. Mecklenbräuker

    Published 2017-01-01
    “…A carbon fiber reinforced polymer (CFRP) laminate, with the top layer consisting of shredded fibers, is proposed and manufactured. …”
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  15. 1015

    Comparative Assessment of Microleakage in Various Bulkfill Flowable Composites: An In Vitro Study by Aishwarya Arya, Bobbin Gill, Nirmala Bishnoi, Dishanki Vishwanadulwar, Dron Lakhani, Aishwarya Bhatnagar

    Published 2024-12-01
    “…Material and Methods: 60 extracted molars were selected and randomly divided into four groups of 15 teeth each (Group A-Control group; G-Aenial, Group B-SDR Plus, Group C-Tetric EvoFlow, Group D-EverX Flow Bulkfill flowable composite). …”
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  16. 1016

    Comparisons of Physical and Chemical Characteristics of Eggs Obtained using Hens Reared in Deep Litter and Free-Range Systems by İsmail Türker, Sezai Alkan

    Published 2019-06-01
    “…The hens were taken into layer house at 16 weeks of age. Hen egg production reached up to 50%, produced eggs were randomly sampled once every 4 weeks until 52 weeks of age and physical characteristics of eggs from each housing system were measured. …”
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  17. 1017

    The texture of the post-perovskite phase controls the characteristics of the D” seismic discontinuity by Motohiko Murakami, Shin-ichiro Kobayashi, Naohisa Hirao, Tomofumi Kawadai

    Published 2025-05-01
    “…Since the discovery of the post-perovskite phase, seismic anisotropy observed in the D” layer has been attributed to the texturing of this phase. …”
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  18. 1018

    The Role of Interfacial Effects in the Impedance of Nanostructured Solid Polymer Electrolytes by Martino Airoldi, Ullrich Steiner, Ilja Gunkel

    Published 2024-11-01
    “…Coating the surface of commonly used stainless steel electrodes with a specific random copolymer brush increases the measured ionic conductivity by more than an order of magnitude compared to the uncoated electrodes. …”
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  19. 1019
  20. 1020

    Hybrid FRP strengthening of reinforced concrete deep beams: Experimental, theoretical and machine learning-based study by Phromphat Thansirichaisree, Qudeer Hussain, Mingliang Zhou, Ali Ejaz, Shabbir Ali Talpur, Panumas Saingam

    Published 2025-07-01
    “…While the gradient boosting regression model tended to overestimate the peak capacity of the deep beams, the random forest model provided predictions that were much closer to the experimental results.…”
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