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  1. 1

    The work hardening and softening behavior of spherical Tip/Mg-5Zn-0.3Ca composite by Cui-ju Wang, Jin-Kai Zhang, Kai-bo Nie, Chao Xu, Kun-kun Deng

    Published 2025-06-01
    “…The results indicated that the Tip could be elongated obviously after low-temperature extrusion, and the aspect ratio of which would reach to 13.7:1 as the extrusion temperature deceased to 140℃. Then the “Ti/Mg” layer-like structure was formed in the Tip/Mg-5Zn-0.3Ca composite. …”
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  2. 2

    Enhancing polarization contrast with depolarization mechanism using PS-OCT by Ying Chang

    Published 2025-05-01
    “…The experimental results reveal spots, layers and boundaries patterns that are imperceptible in intensity image of OCT or conventional PS-OCT systems, suggesting a layer-like tissue organization, consistent with the morphology of skin tissues. …”
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  3. 3

    Wnt-GSK3β/β-Catenin Regulates the Differentiation of Dental Pulp Stem Cells into Bladder Smooth Muscle Cells by Wenkai Jiang, Diya Wang, Amr Alraies, Qian Liu, Bangfu Zhu, Alastair J. Sloan, Longxing Ni, Bing Song

    Published 2019-01-01
    “…This stem cell clone has shown the capacity to generate a smooth muscle layer-like phenotype after an extended differentiation duration using the SMC induction protocol we established before. …”
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  4. 4

    IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY by Daniil V. Marshakov, Vladimir A. Fatkhi

    Published 2011-03-01
    “…Impact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. …”
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  5. 5

    Turbidity Currents With Equilibrium Basal Driving Layers: A Mechanism for Long Runout by R. Luchi, S. Balachandar, G. Seminara, G. Parker

    Published 2018-02-01
    “…The devolution of the flow into these two layers likely allows the driving layer to run out long distances.…”
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  6. 6

    A Minimally Cemented Shallow Crust Beneath InSight by Vashan Wright, Jhardel Dasent, Richard Kilburn, Michael Manga

    Published 2022-08-01
    “…Thus, no ice‐ or liquid water‐saturated layers likely exist within the upper 300 m beneath InSight. …”
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  7. 7

    New Insight Into the Source and Sink of 227Ac in the Ocean by Hojong Seo, Hanbyul Lee, Guebuem Kim

    Published 2024-01-01
    “…In addition, unusually high 227Ac activities (∼15 dpm m−3) were observed in the surface layer, likely due to the horizontal transport of 227Ac‐enriched shelf water. …”
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  8. 8

    Weak Crust Owing Past Magmatic Intrusions Beneath Campi Flegrei Identified: The Engine for Bradyseismic Movements? by Gianmarco Buono, Francesco Maccaferri, Lucia Pappalardo, Anna Tramelli, Stefano Caliro, Giovanni Chiodini, Virginie Pinel, Eleonora Rivalta, Elena Spagnuolo, Elisa Trasatti, Mauro Antonio Di Vito

    Published 2025-04-01
    “…At a depth of ∼2.5–3.0 km we identify the transition to a weak tuff layer likely to trap magmatic fluids. Simulations of magma pathways indicate that stresses generated by caldera unloading may have arrested at the limestone/tuff transition past ascending dykes, which deformed, heated, and released magmatic fluids, deteriorating the surrounding rocks. …”
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  9. 9

    Soft Metalens for Broadband Ultrasonic Focusing through Aberration Layers by Erqian Dong, Tianye Zhang, Jinhu Zhang, Xiaochun Su, Sichao Qu, Xin Ye, Zhanyuan Gao, Chengtian Gao, Jiangang Hui, Zhanxiang Wang, Nicholas X. Fang, Yu Zhang

    Published 2025-01-01
    “…However, achieving broadband ultrasonic focusing through aberration layers like the human skull using conventional materials such as metals and elastomers has proven challenging. …”
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    Article
  10. 10

    Using Capacitance Sensors for the Continuous Measurement of the Water Content in the Litter Layer of Forest Soil by Mioko Ataka, Yuji Kominami, Takafumi Miyama, Kenichi Yoshimura, Mayuko Jomura, Makoto Tani

    Published 2014-01-01
    “…Little is known about the wetting and drying processes of the litter layer (L layer), likely because of technical difficulties inherent in nondestructive water content (WC) monitoring. …”
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  11. 11

    Resistivity imaging and uncertainty assessment of volcanic covered sedimentary basins of India derived from a new strategy by Jit Varish Tiwari, Kuldeep Sarkar, Upendra K. Singh

    Published 2025-06-01
    “…The method also identified two layers: a highly conductive layer likely alluvium and a major resistive layer probably due to volcanic deposits. …”
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  12. 12

    Public participatory GIS in community-based disaster risk reduction by Randall B. Kemp

    Published 2008-12-01
    “…GIS can produce simple maps as well as complicated analysis based on several data sources (or layers). Like standard participatory research methods, PPGIS incorporates end users, research subjects, and researchers into a collaborative environment where GIS are structured under the guidance of both the expert and the novice. …”
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    Article
  13. 13

    A synergistic approach to tooth remineralization using nano-chitosan, fluoride, and pulsed magnetic field by Alaa M. Khalil, Samar A. Abbassy, Mona Mohy ElDin, Sherif Kandil, Ahmed M. El-Khatib

    Published 2025-05-01
    “…Its morphology showed new mineral layers, likely fluorapatite, and it had the highest Ca/P ratio and maximum VHN value. …”
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    Article
  14. 14

    Integration of Edge-Lit Quantum Dot Coated Lightguides in Soft Smart Surfaces by Ravi Kishore, Jan Audenaert, Frederick Bossuyt, Pieter Bauwens, Bjorn Vandecasteele, Youri Meuret

    Published 2025-01-01
    “…To integrate uniform light-emitting elements into flexible materials, printed emissive layers like OLEDs or QLEDs can be used. These offer saturated colors but face challenges in cost, brightness, efficiency, and durability. …”
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  15. 15

    A high-definition spatiotemporal transcriptomic atlas of mammalian kidney development by Shan Jiang, Hao Yu, Ting Zhao, Yao Lu, Xuesong Li, Lei Gao, Jie Mi, Wenzhe Xia, Lanjun Geng, Panpan Li, Mingyue Chen, Mengyao Kang, Jiang Liu, Yuwen Ke

    Published 2025-04-01
    “…The spatial distribution of specific cell types and their gene expression patterns within these five layers likely enhances renal adaptation to hypoxic and hyperosmotic environments. …”
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  16. 16

    Integrated geophysical investigation of flooding within the campus of Federal College of Education (Technical), Omoku and its environs by Agada Idoko, Johnson C. Ibuot, Moses M.M. Ekpa

    Published 2025-03-01
    “…The second and third layers demonstrated variable thickness and resistivity, reflecting saturated zones prone to water retention and areas with better drainage properties. The fourth layer, likely compact bedrock, exhibited high resistivity, acting as a barrier to water flow and contributing to surface runoff. …”
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  17. 17

    MobDenseNet: A hybrid deep learning model for brain tumor classification using MRI by Meher Afroj, M. Rubaiyat Hossain Mondal, Md Riad Hassan, Sworna Akter

    Published 2025-07-01
    “…The proposed MobDenseNet is developed using the concepts of existing deep learning models: MobileNetV1 and DenseNet; the model incorporates hyperparameter fine-tuning and feature fusion ensemble during the feature extraction phase, consolidating layers like batch normalization, dense layers in the classification step to classify brain tumors. …”
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  18. 18

    Detection of water-rich areas and seepage channels via the transient electromagnetic method, electrical resistivity tomography, and self-potential method by Peng Wang, Fan Li, Kai Lu, Wei Huang

    Published 2025-05-01
    “…The transient electromagnetic data facilitated the construction of a three-dimensional geoelectric model of the mine, from which the planar distribution of resistivity in the medium to coarse sandstone layers—likely reservoirs of groundwater—was derived. …”
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  19. 19

    Spatio-temporal variations of the heat fluxes at the ice-ocean interface in the Bohai Sea by Bin Jia, Libang Xu, Xueen Chen, Wenyan Zhang

    Published 2024-11-01
    “…We found that the surface conductive heat flux through ice shows short-term fluctuations corresponding to the atmospheric conditions, the magnitude of these fluctuations decreases with depth in the ice layer, likely due to reduced influence from atmospheric conditions at greater depths. …”
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  20. 20

    Implementation for Lightweight Deep Learning for Anomaly Detection and Denoising on Gravitational Waves by R. K. Mohith Niranjen, C. Yogesh, Anirudh Vinodh, Tharun Sureshkumar, S. Vatchala

    Published 2025-01-01
    “…In addition, higher-order recurrent layers like Long Short-Term Memory(LSTM) networks are also used to precisely model temporal characteristics so that accuracy is preserved with enhanced anomaly detection and noise removal. …”
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