Showing 221 - 240 results of 994 for search '"Highs and Lows"', query time: 0.07s Refine Results
  1. 221

    Effects of Welding Heat Input on Microstructure and Electrochemical Behavior of Flux-Cored Arc-Welded Q690 HSLA Steel by Kai Wang, Qinghua Lu, Yaoyong Yi, Jianglong Yi, Ben Niu, Zexin Jiang, Jinjun Ma

    Published 2018-01-01
    “…In this work, the weld metal (WM) for the Q690 high-strength low-alloy (HSLA) steel was prepared through flux-cored arc welding (FCAW) at 10 kJ/cm and 20 kJ/cm heat inputs. …”
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  2. 222

    Ship infrared image edge detection based on an improved adaptive Canny algorithm by Lisang Liu, Fenqiang Liang, Jishi Zheng, Dongwei He, Jing Huang

    Published 2018-03-01
    “…The contrast limited adaptive histogram equalization algorithm is adopted to enhance the infrared image, the morphological filter replaces the Gauss filter to smooth the image, and the OTSU algorithm is utilized to adjust the high and low thresholds dynamically. The experimental results show that the improved Canny algorithm, which can not only improve the contrast of the image and automatically adjust the threshold but also reduce the background sea clutter and false edges, is an effective edge detection method.…”
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  3. 223

    Maternal seafood intake, dietary contaminant exposure, and risk of juvenile idiopathic arthritis: exploring gene-environment interactions by Vilde Øverlien Dåstøl, Vilde Øverlien Dåstøl, Kristine Løkås Haftorn, Hamid Khoshfekr Rudsari, Piotr Pawel Jaholkowski, Piotr Pawel Jaholkowski, Ketil Størdal, Ketil Størdal, Siri Eldevik Håberg, Siri Eldevik Håberg, Clarice R. Weinberg, Lisa G. Rider, Ole A. Andreassen, Ole A. Andreassen, Ole A. Andreassen, Anne Lise Brantsæter, Ida Henriette Caspersen, Ida Henriette Caspersen, Helga Sanner, Helga Sanner

    Published 2025-01-01
    “…We found no associations between high vs low exposure to other types of seafood or environmental contaminants and JIA.ConclusionsWe found a modestly increased risk of JIA associated with high intake of lean/semi-oily fish during pregnancy, not explained by estimated exposure to dietary contaminants. …”
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  4. 224

    Workload-capacity imbalances and their impact on self-management complexity in patients with multimorbidity: a multicenter cross-sectional study by Binyu Zhao, Yujia Fu, Jingjie Wu, Erxu Xue, Chuyang Lai, Dandan Chen, Qiwei Wu, Jianing Yu, Qiaoyu Wu, Zhihong Ye, Jing Shao

    Published 2025-12-01
    “…Data were analyzed using latent profile analysis, chi-square, multivariate linear regression, and network analysis.Results d Patients were classified into four profiles: low workload-low capacity (10.2%), high workload-low capacity (7.5%), low workload-high capacity (64.6%), and high workload-high capacity (17.7%). …”
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  5. 225

    Machine learning-based identification and validation of amino acid metabolism related genes as novel biomarkers in chronic kidney disease by Guoqing Zhang, Hongyan Luo, Xiaohua Lu, Yonghua Liu, Mei Wang, Bo Li, Haixia Lu, Yali Zheng

    Published 2025-01-01
    “…Immune cells such as Activated CD4+ T cells, Regulatory T cells, Immature B cells and MDSC,etc.infiltrated differentially in the high and low risk groups of CKD. There were correlations between immune cells abundance and the expression of key genes. …”
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  6. 226

    Applicability of the multifactor dimensionality reduction methodology to the analysis of variables in sanitary buildings by Alejandro Prieto-Fernández, Álvaro Carmona-Baltasar, Jaime Gónzalez-Domínguez, Manuel Botejara-Domínguez, Gonzalo Sánchez-Barroso, Justo García-Sanz-Calcedo

    Published 2024-03-01
    “…From the whole set, the combination of variables that best describes the study is selected, grouping them into high or low risk. It has been proven that in this way it is possible to better understand and optimise engineering activities. …”
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  7. 227

    Study on Direct Writing of Gallium Metal for the Flexible Sensor by Junfeng Liu, Haopeng Ma, Yong Yang, Weimin Yang, Zhiwei Jiao, Yuan Yu

    Published 2021-01-01
    “…Gallium (Ga) metal has become an ideal flexible conductive material due to its high conductivity, low melting point, and high flow characteristics. …”
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  8. 228

    Transcriptome Analyses Reveal Lipid Metabolic Process in Liver Related to the Difference of Carcass Fat Content in Rainbow Trout (Oncorhynchus mykiss) by Guo Hu, Wei Gu, Peng Sun, Qingli Bai, Bingqian Wang

    Published 2016-01-01
    “…RNA-seq based whole transcriptome sequencing was performed to liver tissue of rainbow trout with high and low carcass fat content in this study. In total 1,694 differentially expressed transcripts were identified, including many genes involved in lipid metabolism, such as L-FABP, adiponectin, PPAR-α, PPAR-β, and IGFBP1a. …”
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  9. 229

    Severe Sepsis Associated with Lemierre’s Syndrome: A Rare but Life-Threatening Disease by Audrey Tawa, Raphaëlle Larmet, Yannick Malledant, Philippe Seguin

    Published 2016-01-01
    “…A 19-year-old patient was admitted to Surgical Intensive Care Unit of a French University Hospital for high fever, low blood pressure, and haemoptysis following a sore throat episode. …”
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  10. 230

    Effects of (Ti, Mo)C precipitation on the microstructure, impact toughness, and sulfide stress corrosion cracking resistance of linepipe steels by Seoyoon Gong, Seungon Lim, Kyu-Tae Kim, Yong-Jae Yu, S.E. Shin

    Published 2025-01-01
    “…(Ti, Mo)C precipitation can help secure the strength, low-temperature toughness, and sulfide stress corrosion cracking (SSCC) resistance required for linepipes. In this study, high-strength low-alloy (HSLA) steels with (Ti, Mo)C precipitation and without Ti and Mo were fabricated to analyze the effects of (Ti, Mo)C precipitation on the microstructure, impact toughness, and SSCC resistance of linepipes. …”
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  11. 231

    Finding excesses in model parameter space by Kierthika Chathirathas, Torben Ferber, Felix Kahlhoefer, Alessandro Morandini

    Published 2025-02-01
    “…Abstract Simulation-based inference (SBI) makes it possible to infer the parameters of a model from high-dimensional low-level features of the observed events. …”
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  12. 232

    Transverse-layer partitioning of artificial neural networks for image classification by N.A. Vershkov, M.G. Babenko, N.N. Kuchukov, V.A. Kuchukov, N.N. Kucherov

    Published 2024-04-01
    “…The proposed method is based on the ability of a wavelet transform to separate information into high- and low-frequency parts. Using the expertise gained in developing convolutional wavelet neural networks, the authors perform a transverse-layer partitioning of the network into modules for the further partial use on devices with low computational capability. …”
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  13. 233

    Complex Network Filtering and Compression Algorithm Based on Triangle-Subgraph by Shuxia Ren, Tao Wu, Shubo Zhang

    Published 2020-01-01
    “…Before calculating the set of triangle-subgraph, node importance ranking algorithm is proposed to extract high- and low-importance nodes and filter them to reduce computational scale of complex networks. …”
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  14. 234

    Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels by Pouraliakbar H., Khalaj G., Jandaghi M.R., Khalaj M.J.

    Published 2015-01-01
    “…In this investigation, an artificial neural network model with feed forward topology and back propagation algorithm was developed to predict the toughness (area underneath of stress-strain curve) of high strength low alloy steels. The inputs of the neural network included the weight percentage of 15 alloying elements and the tensile test results such as yield strength, ultimate tensile strength and elongation. …”
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  15. 235

    Frequency-Domain-Based Nonlinear Response Analysis of Stationary Ring Displacement of Noncontact Mechanical Seal by Dian Feng Sun, Jian Jun Sun, Chen Bo Ma, Qiu Ping Yu

    Published 2019-01-01
    “…Based on the analysis of the response results, the parameter (stationary ring mass, axial damping, stiffness, etc.) selection scheme of noncontact mechanical seals at high and low frequencies was obtained.…”
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  16. 236

    QUANTITATIVE ANALYSIS OF GEOMORPHIC RESPONSES AND TOPSIS APPROACHE ANALYSIS TO ACTIVE TECTONIC PROCESS: A CASE STUDY OF THE NORTHEAST OF THE AURES (TEBESSA) by Taib HASSAN, Hadji RIHEB

    Published 2024-10-01
    “…Asymmetry and topographic factors were incorporated into a geographic information system, and the region was classified into four IRAT classes: high, medium, low, and rank. Results identified highly deformed areas near active tectonic anomalies, highlighting subsurface fault activity and its influence on river sinuosity. …”
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  17. 237

    Describing Caregiver and Clinician Experiences with Pediatric Telerehabilitation Across Clinical Disciplines by Meaghan Reitzel, Lori Letts, Cynthia Lennon, Jennifer Lasenby-Lessard, Monika Novak-Pavlic, Briano Di Rezze, Michelle Phoenix

    Published 2025-01-01
    “…Scope: This study describes the high and low points of caregiver and clinician experiences with pediatric telerehabilitation with consideration for the sustainable adoption of pediatric telerehabilitation beyond the COVID-19 pandemic context. …”
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  18. 238

    Analysis of Flue Gas Emission Data from Fluidized Bed Combustion Using Self-Organizing Maps by Mika Liukkonen, Mikko Heikkinen, Eero Hälikkä, Teri Hiltunen, Yrjö Hiltunen

    Published 2010-01-01
    “…Characteristically, these process states may include high- and low- load situations and transition states where the load is increased or decreased. …”
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  19. 239

    Inflation and consumption in equality in 2012–2017 by T. I. Gordiyevich, P. V. Ruzanov

    Published 2018-12-01
    “…Also detected asymmetry in the consumption of transport: high share of consumption of transport in the groups with high and low costs — low costs. Due to the peculiarities of the structure, asymmetric inflation is manifested. …”
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  20. 240

    Applying Hotspot Detection Methods in Forestry: A Case Study of Chestnut Oak Regeneration by Songlin Fei

    Published 2010-01-01
    “…In general, hotspot detection is a viable tool for assisting natural resource managers with identifying areas possessing significantly high or low tree regeneration.…”
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