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361
Impact of Climate Change on Hydrologic Extremes in the Upper Basin of the Yellow River Basin of China
Published 2016-01-01“…To reveal the revolution law of hydrologic extremes in the next 50 years and analyze the impact of climate change on hydrologic extremes, the following main works were carried on: firstly, the long duration (15 d, 30 d, and 60 d) rainfall extremes according to observed time-series and forecast time-series by dynamical climate model product (BCC-CSM-1.1) were deduced, respectively, on the basis that the quantitative estimation of the impact of climate change on rainfall extremes was conducted; secondly, the SWAT model was used to deduce design flood with the input of design rainfall for the next 50 years. …”
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362
Paths to Polarization: How Extreme Views, Miscommunication, and Random Chance Drive Opinion Dynamics
Published 2018-01-01“…Third, noisy communication can drive a population toward more extreme opinions and even cause acute polarization. …”
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363
Immediate and long-term effects of zero-drop running shoes on lower extremity biomechanics
Published 2025-01-01“…ObjectiveThe purpose of the study was to investigate the immediate and long-term effects of zero-drop running shoes on lower extremity joint biomechanics.MethodsSeven male runners participated in this study (height: 1.74 ± 0.03 m, weight: 62.5 ± 3.1 kg, body mass index: 20.6 ± 0.7 kg/m2). …”
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364
Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting
Published 2024-12-01“…【Methods】This paper proposes a method of using Sparrow Search Algorithm (SSA) to optimize Extreme Gradient Boosting (XGBOOST) for third-order correlation peak classification of direct spread signals to improve the accuracy of <italic>m</italic>-sequence classification and identification.…”
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365
A Fatal and Extremely Rare Obstetric Complication: Neglected Shoulder Presentation at Term Pregnancy
Published 2015-01-01Get full text
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366
Impact of Urbanization Process on Extreme Precipitation Events Based on Non-Stationary GEV Model
Published 2024-01-01Subjects: Get full text
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367
An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection.
Published 2025-01-01“…The OCSVM attained an AUCROC of 0.72 and an AUCPR of 0.0253 for extreme LBW detection, while the ECOD model showed competitive performance with an AUCPR of 0.045 for very low LBW cases. …”
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368
Psychological analysis of extreme situations in the professional activity of the employees of the State Penitentiary Service of Ukraine
Published 2018-12-01Subjects: “…extreme situations…”
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369
Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine
Published 2025-01-01“…In this paper, we proposed two automatic diagnosis systems for non-invasive diagnosis of chronic hepatitis C based on serum indices, an extreme learning machine (ELM) based auto-diagnosis method and a hybrid method using k-means clustering and ELM. …”
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370
Protracted vegetation recovery after compound drought and hot extreme compared to general drought
Published 2025-01-01Subjects: “…compound drought and hot extreme…”
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371
Repair of Ceramic Ware in the Neolithic and Eneolithic (case study of the extreme North-East of Europe)
Published 2024-08-01Get full text
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372
Effect of the Pes Planus on Vertical Jump Height and Lower Extremity Muscle Activation in Gymnasts
Published 2022-04-01“…The muscle function of the lower extremity is affected by the structure of the foot. …”
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373
Study on Temporal and Spatial Evolution of Extreme Precipitation in Niululing Reservoir Basin of Hainan Province
Published 2023-01-01“…According to the precipitation data of 11 rainfall stations from 1979 to 2020,the Mann-Kendall (MK) trend test,moving t-test,and wavelet analysis were used to analyze the spatial distribution,trend,abrupt changes,and periodicity of eight extreme precipitation indicators in Niululing Reservoir Basin.The results show that:①PRCPTOT,SDII,R50,and R100 in the basin gradually increase from upstream to downstream,and the spatial distribution of other indicators has no significant regularity.②The eight extreme precipitation indicators diverge in trend and fail the MK test.The PRCPTOT,CWD,R50,and R99PTOT show an increasing trend,while the other indicators show a decreasing trend.③The PRCPTOT,SDII,R50,and R100 in the basin had abrupt changes in 2008,and CWD,Rx1day,and Rx3day had abrupt changes in 1999,1998,and 2006,respectively.R99PTOT underwent abrupt changes in 1998 and 2015.④There are two or three periodic signals in the eight extreme precipitation indicators in the basin.Except R100 and R99PTOT,the average periods of the first and second periods of the other six extreme precipitation indicators are 19 a and 14 a,and those of R100 and R99PTOT are 10 a and 19 a.…”
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374
Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments
Published 2017-01-01“…Extremes precipitation may cause a series of social, environmental, and ecological problems. …”
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375
Flexible substrate based wideband polarization converter with extremely high polarization conversion ratio
Published 2025-01-01Get full text
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376
Hydro-wind-solar Complementary Operation Rules Considering System Reliability and Extreme Failure
Published 2023-01-01Subjects: Get full text
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377
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378
A two-stage HDR reconstruction pipeline for extreme dark-light RGGB images
Published 2025-01-01Subjects: “…Extremely dark-light…”
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379
Estimating the Occurrence of Geomagnetic Activity Using the Hilbert‐Huang Transform and Extreme Value Theory
Published 2020-08-01Subjects: “…extreme value theory…”
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380
Increasing extreme hourly precipitation risk for New York City after Hurricane Ida
Published 2024-11-01“…The stormwater infrastructure in NYC is built for 1.75 inches (44.5 mm) per hour, and so understanding the dynamic risk associated with Ida can inform city planning efforts for climate change’s impact on short duration extreme precipitation events. We contextualize this storm’s record-breaking hourly intensity within the historical record as well as project its risk in the near- to medium-term future using nonstationary stochastic models. …”
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