On solutions of certain compatible systems of quadratic trinomial Partial differential-difference equations by R. Mandal, R. Biswas

“…Appl. 483(2), 2020) and then construct some systems of certain quadratic trinomial partial differential-difference equations with arbitrary coefficients. Our objective is to investigate the forms of the finite order transcendental entire functions of several complex variables satisfying the systems of certain quadratic trinomial partial differential-difference equations on $\mathbb{C}^n$. …”
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An Algorithm for the Solution of Integro-Fractional Differential Equations with a Generalized Symmetric Singular Kernel by Sameeha A. Raad, Mohammed A. Abdou

“…Next, to solve this <b>MIE</b>, the authors apply a special technique to separate the variables and produce an integral equation in position with coefficients, in the form of an integral operator in time. …”
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Patterns of intra-cluster correlation coefficients in school-based cluster randomised controlled trials of interventions for improving social-emotional functioning outcomes in pupi... by Kitty Parker, Michael Nunns, ZhiMin Xiao, Tamsin Ford, Paul Stallard, Willem Kuyken, Nick Axford, Obioha C. Ukoumunne

“…Abstract Background The cluster randomised trial (CRT) design is increasingly used to evaluate the impact of school-based interventions for improving social-emotional functioning outcomes in pupils. Good knowledge is required on plausible values of the intra-cluster correlation coefficient (ICC) of the outcome to calculate the required sample size in such studies. …”
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On the Effective Reducibility of a Class of Quasi-Periodic Linear Hamiltonian Systems Close to Constant Coefficients by Nina Xue, Wencai Zhao

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Some series whose coefficients involve the value ζ(n) for $n$n odd by L. R. Bragg

“…By using two basic formulas for the digamma function, we derive a variety of series that involve as coefficients the values (2n+1), n=1,2,⋯, of the Riemann-zeta function. …”
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Approximation by the heat kernel of the solution to the transport-diffusion equation with the time-dependent diffusion coefficient by Lynda Taleb, Rabah Gherdaoui

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Geographic gradients in a functional trait: variation of body size and size diversity in ground beetle Poecilus cupreus (Linnaeus, 1758) (Coleoptera, Carabidae) by Raisa A. Sukhodolskaya, Sergey L. Luzyanin, Teodora M. Teofilova, Vladimir Landgraf, Nadezhda L. Ukhova, Tamara A. Avtaeva, Kirill Yu. Maksimovich, Andrey D. Belosludcev, Roman P. Gorbunov

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Free vibration analysis of graphene-reinforced FGM microplates under different boundary conditions by Nguyen Van Loi, Chu Thanh Binh

“…The microplate is made from functionally graded material (FGM) and reinforced with graphene nanoplatelets (GPLs). …”
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Evapotranspiração máxima do pimentão cultivado em estufa plástica em função de variáveis fenométricas e meteorológicas Maximum evapotranspiration of sweet pepper grown in plastic g... by Carina R. Pivetta, Arno B. Heldwein, Ivan C. Maldaner, Sidinei Z. Radons, Ivonete F. Tazzo, Dionéia D. Lucas

“…<br>The objective of this study was to estimate maximum evapotranspiration (ETm) of sweet pepper inside a plastic greenhouse as a function of evaporation measured with "Piche" evaporimeter (Epi) exposed to solar radiation, with and without easily measured meteorological and phenologic variables. …”
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Exact Solutions for Strong Nonlinear Oscillators with Linear Damping by Livija Cveticanin

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Genetics of Physiological Variation Within and Between Larval Wild-Type AB and Backcrossed NHGRI-1 Zebrafish (<i>Danio rerio</i>) by Gil Martinez-Bautista, Moira Ryann Cartee, Dyuksha Kunder, Crystelle Lee, Karol Tang, Neha Nagarajan, Pamela Padilla, Warren Burggren

“…We hypothesized that (1) assessed physiological variables will respond similarly in both fish lines and (2) data variability in the low heterozygosity NHGRI-1 zebrafish will be lower than in AB zebrafish. …”
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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

“…Training algorithms on radial basis function RBF and multilayer perceptron MLP, and input variables such as weir height, length, inclination, and flow rates. …”
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Exploring the optimal lower blood pressure boundary during endovascular thrombectomy in patients with large vessel occlusion by Yu-Ming Chang, Chun-Min Wang, Kang-Po Lee, Po-Chun Shen, Po-Yu Lin, Chi-Hung Liu, Sheng-Hsiang Lin, Chih-Hung Chen, Meng-Tsang Hsieh, Pi-Shan Sung

“…No significant relationship was observed between DBP and functional outcomes. Patients with higher periprocedural SBP coefficient variance exhibited a decreased rate of good functional outcomes at 3 months (aOR, 0.42, 95% CI, 0.18–0.96). …”
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Method of calculating the acoustical wave reflection coefficient from a not-sharp boundary of two media by Marek HAGEL

“…Changes in the physical properties of the transient layer, determined by the changes in its material parameters, occur along its thickness and can by described by arbitrary one-variable functions. Results of theoretical calculations of the reflection coefficient were given for chosen cases of material parameter changes in the transient layer and they were compared with results of measurements conducted on a physical model. …”
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Classifying Aerosol Particle Size Using Polynomial Coefficient of Aerosol Optical Depth–Wavelength Relationship by Dyi-Huey Chang

“…Such a close correlation among the coefficients of the same polynomial order is attributed to a large variability. …”
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A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients by Lei Zhang, Xiaoran Li, Wen Chen, Yuanjie Gu, Hao Wu, Zhong Lu, Biqin Dong

“…Optical coherence tomography (OCT) shows promise for diagnosing AK and BCC using signal intensity and skin layer thickness, but variability due to skin characteristics and system settings underscores the need for a standardized diagnostic method. …”
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Experimental Study: Stress Path Coefficient in Unconsolidated Sands: Effects of Re-Pressurization and Depletion Hysteresis by Sabyasachi Prakash, Michael Myers, George Wong, Lori Hathon, Duane Mikulencak

“…It investigates the variability of horizontal stress path coefficient as a function of changing pore pressure (depressurization and re-pressurization) in unconsolidated sandstone reservoirs. …”
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Sensitivity Analysis of Numerical Coherency Model for Rock Sites by Dongyeon Lee, Yonghee Lee, Hak-Sung Kim, Jeong-Seon Park, Duhee Park

“…Because of difficulties in developing an empirical coherency function from a site-specific dense array, it is seldom used in practice. …”
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Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements by Qiuxia Xie, Li Jia, Massimo Menenti, Qiting Chen, Jingxue Bi, Yonghui Chen, Chunmei Wang, Xinju Yu

“…SMAP L3.0, ASCAT V3.0, ESA/CCI V7.1 and GLDAS V2.2) are vital for applications in hydrology, climate variability, and agriculture. This study uses a new SSM evaluation approach by combining temporal evolution, Coefficient of Variation (CV), Cumulative Distribution Function (CDF), evaluation metrics, and Triple Collocation Analysis (TCA) to assess SSM accuracy and spatial–temporal variability, particularly the impact of footprint mismatch when comparing retrieved SSM with in-situ measurements. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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