Showing 1,081 - 1,100 results of 1,297 for search '((( colinear OR linear) structure ) OR (( colinear OR linear) structural ))', query time: 0.16s Refine Results
  1. 1081

    Analysis of 3D-Printed Zirconia Implant Overdenture Bars by Les Kalman, João Paulo Mendes Tribst

    Published 2025-08-01
    “…The FEA model assumed isotropic, homogeneous, linear-elastic material behavior. Bars were torqued to 15 Ncm on implant analogs. …”
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    Article
  2. 1082

    3D ophthalmic ultrasonography at the slit lamp using existing ultrasound systems. by Jack O Thomas, Josiah K To, Parsa Riazi Esfahani, Frithjof Kruggel, William C Tang, Andrew W Browne

    Published 2025-01-01
    “…<h4>Methods</h4>A custom system was designed for mounting a linear actuator to a slit lamp and enabling the horizontal actuation of any ultrasound probe. …”
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  3. 1083

    Is your system calibrated? MRI gradient system calibration for pre-clinical, high-resolution imaging. by James O'Callaghan, Jack Wells, Simon Richardson, Holly Holmes, Yichao Yu, Simon Walker-Samuel, Bernard Siow, Mark F Lythgoe

    Published 2014-01-01
    “…High-field, pre-clinical MRI systems are widely used to characterise tissue structure and volume in small animals, using high resolution imaging. …”
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  4. 1084

    Causal estimation of the relationship between reproductive performance and the fecal bacteriome in cattle by Yutaka Taguchi, Haruki Yamano, Yudai Inabu, Hirokuni Miyamoto, Koki Hayasaki, Noriyuki Maeda, Yoshiro Kanmera, Seiji Yamasaki, Noboru Ota, Kenji Mukawa, Atsushi Kurotani, Shigeharu Moriya, Teruno Nakaguma, Chitose Ishii, Makiko Matsuura, Tetsuji Etoh, Yuji Shiotsuka, Ryoichi Fujino, Motoaki Udagawa, Satoshi Wada, Jun Kikuchi, Hiroshi Ohno, Hideyuki Takahashi

    Published 2025-03-01
    “…The relationship of the fecal bacteriome at 150 and 300 days of age and reproductive performance was visualized using statistical structural equation modelling between traits based on four types of machine-learning algorithms (linear discriminant analysis, association analysis, random forest, and XGBoost). …”
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  5. 1085

    A Flexible-Integrated Multimodal Hydrogel-Based Sensing Patch by Peng Wang, Guoqing Wang, Guifen Sun, Chenchen Bao, Yang Li, Chuizhou Meng, Zhao Yao

    Published 2025-02-01
    “…Highlights A flexible multimodal proximity–pressure–temperature sensing patch with a simple structure was developed. Thanks to structural design and material synthesis, the sensor has an outstanding temperature sensitivity of 0.5 °C−1 with good linearity, a high pressure sensitivity of 30.6 kPa−1 and a non-contact sensing range is 2 m. …”
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  6. 1086

    A study on the chemosensory organs, feeding behavior, and attractant substances of Babylonia areolata by Weiguang Zou, Yang Gan, Jiawei Hong, Xuan Luo, Weiwei You, Caihuan Ke, Minghui Shen

    Published 2025-09-01
    “…In this study, we found that the surface of the tentacles and rhinophore were distributed with dense cilia and had a ''9 + 2'' motile cilia structure, and the osphradium were distributed with many sensory cells containing pigmented granules and nerve fibers in a linear fashion, as well as many nerve cells distributed on each olfactory leaf. …”
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  7. 1087

    A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand by Nan Xu, Hao Xu, Wenyu Li, Hui Lu, Yongze Song, Jiaqi Yao, Yue Ma, He Ren, Tingting He, Fan Mo, Peng Gong

    Published 2025-08-01
    “…Second, we combined the adaptive threshold OPTICS (Ordering Points To Identify the Clustering Structure) algorithm and the moving window filter to accurately extract sandy beach photons. …”
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  8. 1088
  9. 1089

    Safety net or social barrier? Social networks and barriers to monitoring type 2 diabetes management among Black/African American men by Tyler Prochnow, Megan S. Patterson, Jeong-Hui Park, Ledric D. Sherman, Matthew Lee Smith

    Published 2025-08-01
    “…Participants completed a comprehensive survey assessing social networks, barriers to T2D management using the Diabetes Care Profile, and demographic characteristics. Multiple linear regression analyses examined associations between network characteristics (interactions, social norms, composition, support, and structure) and barriers while controlling for demographic variables. …”
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    Article
  10. 1090

    Comorbidity in patients with lobular panniculitis-lipodermatosclerosis by O. N. Egorova, B. S. Belov, E. G. Sazhina

    Published 2021-06-01
    “…Laboratory and instrumental research included: blood and urine tests, computed tomography of the chest and ultrasound Doppler of the lower extremities with registration of the linear blood flow velocity in the affected veins (femoral, popliteal, posterior tibial, foot veins). …”
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  11. 1091

    Modeling the Meaning of Individual Words Using Cultural Cartography and Keystroke Dynamics by Tatiana A. Litvinova, Olga V. Dekhnich

    Published 2024-12-01
    “…., “cultural cartography using word embeddings”) and a new list of features developed by the authors to describe individual differences in the meaning of a word based on the data from neurobiology about the meaning structure of word. A set of data analysis methods (linear mixed models, principal components analysis, hierarchical clustering on principal components) implemented in R packages is used to reveal individual differences in the word meaning in terms of the proposed list of features and association of the revealed differences with participants’ characteristics. …”
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  12. 1092

    The impact of deprivation and neighbourhood food environments on home food environments, parental feeding practices, child eating behaviours, food preferences and BMI: The Family F... by Andrea D Smith, Alice Kininmonth, Kristiane Tommerup, David Boniface, Chiara Gericke, Tiffany Denning, Carolyn Summerbell, Christina Vogel, Clare Llewellyn

    Published 2025-07-01
    “…Child BMI was measured objectively. Generalised linear models examined cross-sectional associations between deprivation and neighbourhood food environment with family food-related outcomes, adjusting for school-level clustering, child sex, age and ethnicity. …”
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  13. 1093

    Quantum Geometric Engineering of Dual Hall Effects in 2D Antiferromagnetic Bilayers via Interlayer Magnetic Coupling by Zhenning Sun, Tao Wang, Hao Jin, Xinru Li, Yadong Wei, Jian Wang

    Published 2025-08-01
    “…This work establishes 2D antiferromagnets as a promising platform for multifunctional device architectures, bridging linear and nonlinear magnetoelectric responses through tailored quantum geometric engineering.…”
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  14. 1094

    Factors influencing the implementation of Integrated Management of Neonatal and Childhood Illness (IMNCI) by nurses in Bhutan: A predictive correlational study by Sonam Pelden, Autchareeya Patoomwan, Tipawan Daramas

    Published 2025-08-01
    “…Data on demographics, supplies/resources, supervision, attitude, workload, nurse management skills, and IMNCI implementation were collected between November and December 2023 through structured questionnaires. Multiple linear regression analysis was conducted to determine factors predicting IMNCI implementation. …”
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  15. 1095

    Can socioeconomic factors and the availability of medicinal plant resources influence people's perception of risk in relation to diseases? by Cecilia de Fatima Castelo Branco Rangel de Almeida, Maria Lorena da Silva, Washington Soares Ferreira Junior, Taline Cristina da Silva

    Published 2025-05-01
    “…The data were analyzed with Generalized Linear Models using R software. Results Age was the only socioeconomic factor with a significant influence on the perception of risk of disease, being higher among individuals aged between 51 and 70. …”
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  16. 1096

    Impact of interface roughness correlation on resonant tunnelling diode variation by Pranav Acharya, Naveen Kumar, Ankit Dixit, Jaehyun Lee, Vihar Georgiev

    Published 2025-07-01
    “…For each correlation length, 25 RTD device structures with IR were randomly generated. Device variation was quantified as the standard deviation of the resonant peak current ( $$I_r$$ ) and the corresponding bias voltage ( $$V_r$$ ), both extracted from the non-linear RTD current-voltage (IV) characteristics. …”
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  17. 1097

    Maternity care providers' perspectives on late-term gestation management (LATE-study): A cross-sectional survey. by Anna E Seijmonsbergen-Schermers, Fatima Hammiche, Hannah de Klerk, Judit K J Keulen, Caroline J Bax, Lilian L Peters, Corine J Verhoeven

    Published 2025-01-01
    “…Descriptive analyses and data visualisation were performed. Linear regressions were performed to assess the association between characteristics and agreement with and adherence to the recommendations. …”
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    Article
  18. 1098

    Correlation between salivary dehydroepiandrosterone sulfate (DHEA-S) levels and cervical vertebral maturation in Saudi individuals by Sarah Z. Al Meshari, AlJazi H. Aldweesh

    Published 2022-07-01
    “…Biochemical biomarkers have an association with bone metabolism and produce signals which stimulate the growth and development of various craniofacial structures. Steroid dehydroepiandrosterone sulfate (DHEA-S) plays a major role in the initiation of growth hormone actions which has a significant role in promoting and accelerating skeletal maturation during puberty. …”
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  19. 1099

    Three-dimensional integral dry friction model for the motion of a rectangular body by M. S. Salimov, I. V. Merkuriev

    Published 2021-04-01
    “…The body motion occurs under the conditions of combined dynamics when, in addition to the longitudinal movement, the body participates in twisting.Materials and Methods. Linear fractional Pade approximations are proposed, which replaced the cumbersome analytical expressions that most accurately describe the motion of bodies on rough surfaces. …”
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  20. 1100

    An Effective Feature Extraction Method for Tomato Leafminer - Tuta Absoluta (Meyrick) (Lepidoptera: Gelechiidae) Classification by Tahsin Uygun, Serhat Kiliçarslan, Cemil Közkurt, Mehmet Metin Ozguven

    Published 2025-05-01
    “…Among the methods evaluated, SVM-Linear achieved the highest accuracy with 97.83%, outperforming other classifiers such as Random Forest with 96.14%, Rotation Forest with 95.89%, and SVM-RBF with 90.70%. …”
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