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  1. 581

    Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall by Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera

    Published 2025-06-01
    “…An ensemble of JJAS rainfall predictions using the CNN model with a unique custom function showed high skills in predicting ISMR at a long-lead time of 12 months. …”
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    Article
  2. 582

    Some of the personal and functional characteristics of agricultural extension workers and their relation to the level of their performance in Babylon Province by Anhar M.A. Hassan, Majid K. Ali

    Published 2018-12-01
    “…<br />  The researcher recommended that the Directorates responsible for training the staff in order to prepare them and raise the efficiency of their job performance in preparing training courses on the content of their material in the fields of extension work carried out by the workers in agricultural extension taking into consideration the variables that showed a relationship of significant correlation in the preparation of training courses.…”
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  3. 583
  4. 584

    Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective com... by Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier

    Published 2021-08-01
    “…Remote photoplethysmography imaging (rPPG) makes it possible to use a camera video to measure some of the most valuable physiological variables: heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2). …”
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  5. 585
  6. 586

    A functional data analysis approach for modelling frequency‐modulated tonal sounds in animal communication by Maria Silvia Labriola, Petra Oswine Pammer, Giulia Pedrazzi, Giancarlo Giacomini, Giovanna Jona Lasinio, Daniela Silvia Pace

    Published 2025-03-01
    “…Estimated functional coefficients of the regression model suggested that different contextual factors have a significant effect on the FM patterns of SWs. …”
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    Article
  7. 587

    Depth-dependent contributions of various vascular zones to cerebral autoregulation and functional hyperemia: An in-silico analysis. by Hadi Esfandi, Mahshad Javidan, Rozalyn M Anderson, Ramin Pashaie

    Published 2025-01-01
    “…However, temporal alterations in capillary diameter contribute moderately to cerebral autoregulation and minimally to functional hyperemia. In addition, hemodynamic analysis shows that while hemodynamics within capillaries remain relatively stable across all cortical depths throughout the entire autoregulation range, significant variability in hemodynamics can be observed within the first few branch orders of precapillary arterioles or transitional zone vessels. …”
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  8. 588

    A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

    Published 2025-01-01
    “…Detecting sleep apnea accurately and efficiently presents several challenges, including variability in physiological signals among individuals and class imbalance for apnea events. …”
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    Article
  9. 589

    Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

    Published 2024-12-01
    “…Shapiro-Wilk test was applied to determine if the data were normally distributed, Pearson’s correlation coefficient analysis was used measure linear correlation, and Spearman’s rank correlation coefficient (ρ) was determined to measure the strength and direction of correlation between variables. …”
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  10. 590

    An Integrated Slacks-Based Measure of Super-Efficiency with Input Saving and Output Surplus Scaling Factors and its Application in Paper Chemical Mills by Dong Guo, Zheng-Qun Cai

    Published 2020-01-01
    “…This paper revises the usual slacks-based measure of super-efficiency by incorporating input saving and output surplus scaling factors into the objection function for measuring DMUs. …”
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    Article
  11. 591

    Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

    Published 2025-04-01
    “…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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    Article
  12. 592

    Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation by YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng

    Published 2025-05-01
    “…The Gaussian was selected to estimate the marginal distributions of hydrological variables in the Fuchun River Basin, demonstrating higher simulation accuracy without relying on any distribution assumption.(2) By estimating the Kendall and Spearman rank correlation coefficients of the bivariate functions of Gaussian-Copula, t-Copula, Clayton-Copula, Frank-Copula, and Gumbel-Copula, and comparing them with the Kendall and Spearman rank correlation coefficients of the original observed data, it was found that Gaussian-Copula and Gumbel-Copula were closer to the observed data.(3) By calculating the Euclidean distance, the fitting performance of the Copula functions was evaluated. …”
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  13. 593

    The Use of High-Density SNP Array to Map Homozygosity in Consanguineous Families to Efficiently Identify Candidate Genes: Application to Woodhouse-Sakati Syndrome by Molly B. Sheridan, Elizabeth Wohler, Denise A. S. Batista, Carolyn Applegate, Julie Hoover-Fong

    Published 2015-01-01
    “…DCAF17, encoding a transmembrane nuclear protein of uncertain function, was the only gene identified in a homozygous region known to cause hypogonadotropic hypogonadism. …”
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  14. 594

    Analyzing execution path non-determinism of the Linux kernel in different scenarios by Yucong Chen, Xianzhi Tang, Shuaixin Xu, Fangfang Zhu, Qingguo Zhou, Tien-Hsiung Weng

    Published 2023-12-01
    “…However, the execution path of a system call is effectively non-deterministic in Linux kernel space, which challenges the test coverage-based verification recommended by the functional safety standards. This research analyzes the influence of system state on Linux kernel path variability from two perspectives: file system type and system load. …”
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  15. 595
  16. 596

    Finite Element Modeling for Buckling Analysis of Tapered Axially Functionally Graded Timoshenko Beam on Elastic Foundation by Masoumeh Soltani

    Published 2020-11-01
    “…In this study, an efficient finite element model with two degrees of freedom per node is developed for buckling analysis of axially functionally graded (AFG) tapered Timoshenko beams resting on Winkler elastic foundation. …”
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  17. 597
  18. 598

    Influence of EEG-based functional connectivity and inhibitory control on educational web search performance among adolescents by Надежда Владимировна Сутормина

    Published 2024-09-01
    “…EEG was recorded at rest with eyes closed to determine the metrics of functional connectivity in the EEG sensor space. The following connectivity metrics were used for further analysis: global efficiency, modularity, and assortativity. …”
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  19. 599

    Unveiling potential: Hybrid nanofluid-driven strategies for maximizing electrical efficiency in Photovoltaic Thermal Systems with trapezoidal flow channel for coolant purposes by A.A. Alderremy, Abid A. Memon, A.M. Obalalu, T.H. El-Ghareeb, Amsalu Fenta

    Published 2024-12-01
    “…The PV/T system features a simple configuration, with mono-crystalline silicon above the flow channel, copper functioning as the absorber, and a trapezoidal-shaped flow channel. …”
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  20. 600

    A Focusing Algorithm in Automatic Microscope by LIANG Long-kai, ZHAO Jing, HE Yong-jun

    Published 2018-04-01
    “…Then the proposed evaluation functions are applied to realize the variable step climbing search strategy. …”
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