The acoustic wave generation by a thin layer with variable temperature by Roman DYBA, Bronisław ŻÓŁTOGÓRSKI

“…It was shown that, in view of the low efficiency of the temperature—pressure conversion, it is necessary to generate large layer temperature changes to obtain the mean values of sound intensity, whereas the maximum of the modulus of the transmittance function of the source occurs even for very thin layers. …”
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Bistable variable stiffness laminates - novel manufacturing and modeling strategies by P.M. Anilkumar, A. Haldar, G. Clancy, S. Scheffler, B.N. Rao, P.M. Weaver, R. Rolfes

“…Bistable laminates offer a path to energy-efficient and multi-functional structures, with potential applications in various engineering domains. …”
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Inter-phantom variability in digital mammography: implications for quality control by Gisella Gennaro, Gilberto Contento, Andrea Ballaminut, Francesca Caumo

“…Variability was assessed by calculating intra- and inter-phantom variances and coefficients of variation (COVs). …”
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Modeling the Impact of Fabrication Variabilities on the Performance of Silicon Avalanche Photodetectors by David Liu, Luca F. Errico, Matteo G. C. Alasio, Mike Zhu, Enrico Bellotti

“…This work presents a systematic study of the sensitivities of silicon avalanche photodiode (APD) performance metrics, including gain, excess noise, and bandwidth, to potential variabilities in the fabrication process. The APDs simulations are performed using a state-of-the-art Full-Band Monte Carlo (FBMC) device simulator with the integrated band structure and scattering rates calculated <inline-formula><tex-math notation="LaTeX">$\mathit{ab{-}initio}$</tex-math></inline-formula> with density-functional theory (DFT). …”
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Refined matrix completion for spectrum estimation of heart rate variability by Lei Lu, Tingting Zhu, Ying Tan, Jiandong Zhou, Jenny Yang, Lei Clifton, Yuan-Ting Zhang, David A. Clifton

“…Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. …”
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Evaluation of the polymorphism of the GDF9 and BMP15 genes and their relationship with the reproductive functions of sheep of different breeds by Z. K. Gadzhiev, E. S. Surzhikova, D. D. Evlagina, A. I. Surov, S. N. Shumaenko

“…Polymorphism is the result of evolutionary processes and is inherited, associated with biodiversity and modified by natural selection and functions to preserve various forms of population. …”
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A novel extraction model optimization with effective separation coefficient for rare earth extraction process using improve differential evolution by Fangping Xu, Hui Yang, Jianyong Zhu, Wenjia Chang

“…This model also facilitates the construction of an optimized objective function for determining the effective separation coefficient. …”
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Sleep efficiency and event−related potentials in patients with depression: the mediating role of serum C-reactive protein by Liang Fang, Liang Fang, Liang Fang, Peng Wang, Tianqin Xie, Tianqin Xie, Tianqin Xie, Shuai Ding, Shuai Ding, Shuai Ding, Ting Wang, Ting Wang, Ting Wang, Jiajia Zhang, Jiajia Zhang, Jiajia Zhang, Aiguo Zhang, Aiguo Zhang, Aiguo Zhang, Peng Zhu, Daomin Zhu, Daomin Zhu, Daomin Zhu

“…Limited research exists on the neurophysiological mechanisms that connect sleep efficiency and cognitive function in individuals with MDD. …”
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Nitrogen removal from decentralized domestic wastewater in gravel-bed coupled with wood chip under variable hydraulic loading rate by Bo-Yuan Wang, Yu Xin, Guo-Fu Lin, Da-Wen Gao, Lin Liu

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A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging by Marjan Khaledi, Bahare Kiumarsi

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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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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

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ANALYSIS OF SOME ECONOMIC VARIABLES IN SLOVENIAN FARMS USING FADN DATASET by Nicola GALLUZZO

“…The purpose of this paper was to investigate by a quantitative approach, over the time 2004-2013, in the FADN dataset main correlations among different economic variables, such as financial subsidies allocated by the CAP on Slovenian farms stratified in function of the main typology of farming which is a dummy variable of the productive specialization. …”
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An Algorithm for the Conditional Distribution of Independent Binomial Random Variables Given the Sum by Kelly Ayres, Steven E. Rigdon

“…While in general, random walk MH algorithms tend to outperform independence samplers, we find that in this case the independence sampler is more efficient.…”
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Singular anisotropic equations with a sign-changing perturbation by Zhenhai Liu, Nikolaos S. Papageorgiou

“…We prove a multiplicity result producing two positive smooth solutions when the coefficient function in the singular term is small in the L∞-norm. …”
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The impact of gradient variable temperature fermentation on the quality of cigar tobacco leaves by Qianying Zhang, Qianying Zhang, Yang Huang, Yang Huang, Hongyue An, Hongyue An, Shuanghong Yang, Shuanghong Yang, Jinshan Lei, Jinshan Lei, Yue Wang, Yue Wang, Pinhe Li, Pinhe Li, Hongfei Zhang, Wen Cai, Wen Cai, Wen Cai, Yun Jia, Yun Jia, Yongqiang Pang, Dongliang Li, Dongliang Li

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Cost Optimisation of Supply Chains in the Food Industry: Cost Function Modelling by Ion Popa, Sorina-Geanina Stănescu, Anișoara Duică, Elisabeta Ilona Molnar, Mircea Constantin Duică

“…The proposed cost function allows for assessing the impact of these variables on total costs and identifying critical areas for optimisation. …”
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Leveraging normal distribution and fuzzy S-function approaches for solar cell electrical characteristic optimization by Mahmood Ruqaya Shaker, Al-Gebory Layth, Mustaf Ammar Saad, Khalid Yasameen Waleed, Alameri Kawther A., Rasheed Mohammed, Rashid Taha

“…Furthermore, a fuzzy S-function model was applied to account for uncertainty and variability in real-world conditions. …”
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Analysis and spatial prediction of water retention curves in two types of soil by Diego L. Cortés-Delgadillo, Jesús H. Camacho Tamayo, Ramón Giraldo

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Heart Rate Variability Time-Domain Analysis Across Glaucoma Subtypes by Yuto Yoshida, Hinako Takei, Misaki Ukisu, Keigo Takagi, Masaki Tanito

“…This study aimed to investigate the association between different glaucoma subtypes and the following time-domain heart rate variability (HRV) parameters: the standard deviation of normal-to-normal intervals (SDNN), the square root of the mean of the sum of the squared differences between adjacent normal-to-normal intervals (RMSSD), and the coefficient of variation of R-R intervals (CVRR). …”
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