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Showing 2,481 - 2,500 results of 53,535 for search '((structures OR ((unstructures OR structural) OR structural)) OR structured) data', query time: 0.60s Refine Results
  1. 2481

    On the Hydrodynamic and Structural Performance of Thermoplastic Composite Ship Propellers Produced by Additive Manufacturing Method by Erkin Altunsaray, Serkan Turkmen, Ayberk Sözen, Alperen Doğru, Pengfei Liu, Akile Neşe Halilbeşe, Gökdeniz Neşer

    Published 2024-12-01
    “…Digital pictures were taken to obtain structural deformation and cavitation dynamics. The structural performance of the propellers shows that an aluminum propeller is the most rigid, while a short carbon fiber composite propeller is the most flexible. …”
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  2. 2482

    Petrogenetic evidences in geodynamics and placement of Nordoz intrusive masses in Alborz-Azerbaijan structural zone by Shahryar Mahmoudi, Shiva Lavi, Shohreh Hassanpour, Amir Ali Tabakh Shabani, Mehran Yegane Far

    Published 2024-12-01
    “…The Oligocene Nordoz intrusive complex is located in the eastern region of Siehroud, within the East Azerbaijan province, and within the Alborz-Azerbaijan structural zone. The results of field studies have identified the presence of gabbro diorite, monzodiorite, monzonite, tonalite, granodiorite, and granite within the region. …”
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  3. 2483
  4. 2484

    Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements by K. А. Molokov, V. V. Novikov, M. Dabalez

    Published 2023-07-01
    “…Introduction. Data on the occurrence of initial failures obtained through testing on standard samples cannot always be extrapolated to real welded joints and structures. …”
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  5. 2485

    Optical genome mapping reveals novel structural variations in an autism spectrum disorder cohort by Yunjia Zhang, Wai-Tong Chien, Judy Yuet-Wa Chan, Tsz-Yan Cheung, Zhiqian He, Kai-Hang Yip, Dorothy Fung-Ying Chan, Josephine Shuk-Ching Chong, Mary Miu-Yee Waye, Sek-Ying Chair, Ting-Fung Chan

    Published 2025-01-01
    “…Structural variants (SVs) contribute to the genetic architecture of autism spectrum disorder (ASD), but their comprehensive characterization is limited by technological challenges in their detection. …”
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  6. 2486

    Trends in diet structural composition and quality among adults in Beijing, China (2010–2022) by Ningsu Chen, Liyu Huang, Kai Zhao, Yimei Sha, Mengnan Zhao, Yihong Yao, Yana Qi, Yan Zhang, Bo Yu, Hairong He, Jiajie Yu, Jiali Duan

    Published 2025-06-01
    “…Examining trends in population-level dietary structural composition and quality is essential for monitoring nutritional transitions, identifying key dietary risks, and developing targeted public health policies.MethodsThis study analyzed dietary trends among Beijing adults using three waves (2010–2022) of data from the China Nutrition and Health Surveillance (CNHS). …”
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  7. 2487

    Unveiling the Genetic Landscape of Coronary Artery Disease Through Common and Rare Structural Variants by Kruthika R. Iyer, Shoa L. Clarke, Rodrigo Guarischi‐Sousa, Ketrin Gjoni, Adam S. Heath, Erica P. Young, Nathan O. Stitziel, Cecelia Laurie, Jai G. Broome, Alyna T. Khan, Joshua P. Lewis, Huichun Xu, May E. Montasser, Kellan E. Ashley, Natalie R. Hasbani, Eric Boerwinkle, Alanna C. Morrison, Nathalie Chami, Ron Do, Ghislain Rocheleau, Donald M. Lloyd‐Jones, Rozenn N. Lemaitre, Joshua C. Bis, James S. Floyd, Gregory L. Kinney, Donald W. Bowden, Nicholette D. Palmer, Emelia J. Benjamin, Matthew Nayor, Lisa R. Yanek, Brian G. Kral, Lewis C. Becker, Sharon L. R. Kardia, Jennifer A. Smith, Lawrence F. Bielak, Arnita F. Norwood, Yuan‐I Min, April P. Carson, Wendy S. Post, Stephen S. Rich, David Herrington, Xiuqing Guo, Kent D. Taylor, JoAnn E. Manson, Nora Franceschini, Katherine S. Pollard, Braxton D. Mitchell, Ruth J. F. Loos, Myriam Fornage, Lifang Hou, Bruce M. Psaty, Kendra A. Young, Elizabeth A. Regan, Barry I. Freedman, Ramachandran S. Vasan, Daniel Levy, Rasika A. Mathias, Patricia A. Peyser, Laura M. Raffield, Charles Kooperberg, Alex P. Reiner, Jerome I. Rotter, Goo Jun, Paul S. de Vries, Themistocles L. Assimes

    Published 2025-02-01
    “…Despite single nucleotide variant‐based genome‐wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear. …”
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  8. 2488
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  10. 2490

    The influencing factors of newly employed nurses’ adaptation in Malaysia: a structural equation modelling assessment by Hafidza Baharum, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, Nor Haty Hassan, Abdul Haniff Mohamad Yahaya

    Published 2024-12-01
    “…Questionnaires were distributed through Google Forms. The data were analysed using covariance-based structural equation modelling. …”
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  11. 2491
  12. 2492

    Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

    Published 2018-12-01
    Subjects: “…data structures…”
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  13. 2493

    Gender differences in early childhood development in rural China: a sibling structure perspective by Hongyu Guan, Xiangzhe Chen, Lidong Zhang, Yunyun Zhang, Yuxiu Ding, Ai Yue

    Published 2025-08-01
    “…Abstract Background This study examines gender differences in early childhood cognitive development in rural China, focusing on the role of sibling structure. While gender disparities have narrowed in recent decades, concerns remain regarding unequal household resource allocation in low- and middle-income countries, particularly in contexts shaped by traditional son preference. …”
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  14. 2494

    The changes of left cardiac structure and function in the patients with non-dialysis chronic kidney disease and influencing factors by CHEN Cai-ming, CHEN Yuan, CHEN Yi, ZHANG Xiao-hong, WAN Jian-xin

    Published 2017-01-01
    “…Objective To analyze the changes of left ventricular structure and function in the patients with non-dialysis chronic kidney disease(ND-CKD)and the influencing factors.Methods The ND-CKD patients were enrolled from Jan.2013 to July 2014 in our hospital.All patients were subjected to echocardiography and the indexes were collected.Also the clinical data were collected.The indexes of left ventricular structure and function among different CKD groups were analyzed,and the correlation between the changes of cardiac structure and function were clinical data were also analyzed.Results 337 ND-CKD patients were enrolled,including 71 patients with CKD1 stage,37 patientswith CKD2 stage,28 patients with CKD3 stage,36 patients with CKD stage 4 and 165 patients with CKD stage 5.In pace with the progression of CKD,the data revealed that body mass index(BMI)and serum calcium were gradually declined(P<0.05),while blood urea nitrogen(BUN),serum creatinine(SCr),serum phosphorus,intact parathyroid hormone(iPTH)and Cystatin C gradually ascended(P<0.05).New bone metabolic markers revealed that in pace with the progression of CKD,25-(OH)-VitD gradually declined(P<0.05),but N-Osteocalcin(NOC),β-C-terminal telopeptide of typeⅠcollagen(β-CTX)and N-terminal peptide of typeⅠprocollagen(P1 NP)gradually ascended(P<0.05).Echocardiographic indexes revealed that in pace with the progression of CKD,left ventricular end diastolic dimension(LVDd),left ventricular end systolic dimension(LVDs),and left ventricular mass index(LVMI)gradually ascended(P<0.05)in cardiac structure,and SV gradually ascended(P<0.05)in cardiac function,while relative wall thickness(RWT),cardiac output(CO),left ventricular ejection fraction(LV-EF),fractional shortening(FS),and transmitral diastolic early peak inflow velocity/transmitral diastolic late peak inflow velocity(E/A)had no statistically significant difference,but E/A gradually declined and was less than1 after CKD2.Left ventricular geometric remodeling revealed that the normal LV geometry group gradually declined from CKD1 to CKD5,with84.5%,70.3%,64.3%,44.4%and38.2%respectively.The abnormal LV geometry groups gradually ascended from CKD1 to CKD5,and there were 32.1% with eccentric hypertrophy,15.2% with concentric hypertrophy,and 14.5% with concentric remodeling.Multiple linear regression revealed that the risk factors of RWT were age and serum phosphorus,the risk factor of LVDd was BMI,the risk factor of LVMI wasβ-CTX,the risk factor of SV was Cystatin C,and the protective factors of E/A were age,gender(female),Ca and BUN.Conclusions The left ventricular structure and function in the patients with ND-CKD were aggravated in pace with the progression of CKD.Age,renal function,serum phosphorus,serum calcium,iPTH,BMI andβ-CTX were related to the changes of left ventricular structure and function.…”
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  15. 2495

    Understanding street-exposure and abuse among street-involved children and youth in Kenya: structural intervention insights from routinely collected program data by Michael Goodman, Kelvin Munene, Nora Gardner, Stanley Gitari

    Published 2024-11-01
    “…Background Street-involved children and youth (SICY) face significant challenges, including structural and social exclusion, and multiple forms of abuse. …”
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  16. 2496

    The open sharing operation mechanism of health data in the digital healthcare era: A study based on grounded theory and interpretative structural modeling method by Xinping Huang, Siyuan Zhu, Zheng Lv, Qianwen Zhou, Tianqi Kou

    Published 2025-06-01
    “…Results This study proposes a structured data governance framework, establishing a health data sharing system built upon four core components: top-level guidance, collaborative governance, technological empowerment, and rights protection. …”
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  17. 2497

    D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification by Teng Yang, Song Xiao, Jiahui Qu

    Published 2025-05-01
    “…Nevertheless, GNN faces challenges as the manually defined static graph structure might not accurately capture the complexity of the data. …”
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  18. 2498
  19. 2499
  20. 2500

    Whole genome sequencing and structural variations provide insights into the body size traits of Hu sheep by Xin Xiang, Yujiao Guo, Liran Zhao, Wei Gao, Mao Li, Pengju Zhao, Zhengguang Wang

    Published 2025-08-01
    “…Subsequently, we identified 23274312 single nucleotide polymorphisms (SNPs) and 64759 structural variations (SVs) through a series of bioinformatics analyses. …”
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