Risk‐Taking Facilitates Implicit Learning in Young Adults by Amanda Cremone‐Caira, Melissa A. St. Hilaire

“…Methods Fifty‐eight young adults (Mage = 19.66 years, SD = 1.43 years; 74% female) completed the Balloon Emotional Learning Task (BELT) and the BIS/BAS to measure risk‐taking tendencies and motivation and emotional processing, respectively. Results Generalized linear mixed models indicate that participants learned to make more advantageous decisions as they engaged in risk‐taking behaviors during the BELT. …”
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Asymptotic of Eigenvalues of Periodic and Antiperiodic Boundary Value Problem for Second Order Differential Equations by Sergey A. Kashchenko

“…The article considers asymptotic distribution of characteristic constants in periodic and antiperiodic boundary-value problems for the second-order linear equation with periodic coefficients. It allows getting asymptotics of stability and instability zones of solutions. …”
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Estimation of Atenolol by Reverse Phase High Performance Liquid Chromatography by Naveen Kumar, Nishant Verma, Omveer Songh, Naveen Joshi, Kanwar Gaurav Singh

“…Calibration curve was linear between ranges of 40 to 200 mcg concentration. …”
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Propagation of Blood Function Errors to the Estimates of Kinetic Parameters with Dynamic PET by Yafang Cheng, İmam Şamil Yetik

“…Mathematical modeling of the tissue of interest in dynamic PET can be simplified using compartment models as a linear system where the time activity curve of a specific tissue is the convolution of the tracer concentration in the plasma and the impulse response of the tissue containing kinetic parameters. …”
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The Influence of Financial Accounting Learning Quality on Financial Literacy and its Impact on Financial Self-Efficacy by Mustika Dewi, Makhdalena, Gimin

“…The research uses quantitative descriptive methods through simple linear regression analysis techniques. The research was carried out at the Vocational School of Labor under FKIP, Riau University in the Accounting and Finance Skills Department Program. …”
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Intuitionistic Fuzzy Feature Representation Enhanced Attention for Registration and Fusion of Multipolarized Rock Thin Section Images by Bo Yan, Bowei Chen, Wenqiang Wang, Wenmin He, Yongwei Wang, Lei Peng, Andong Wang, Li Chen

“…To address the shortcomings of traditional linear attention, we propose IFS-attention, a compact mechanism integrating intuitionistic fuzzy representation and dynamic channel weighting. …”
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Size-Dependent Chlorinated Nitrogen-Doped Carbon Nanotubes: Their Use as Electrochemical Detectors for Catechol and Resorcinol by Winny Kgabo Maboya, Mologadi Nkiyasi Rantho

“…The greatest current response which was evidenced by an enhanced anodic peak of CC and RS was obtained when GCE was coated with NCNTs (2 : 1), and this was attributed to their large diameter and high graphitic nature which facilitated electron transfer as evidenced by scanning electron microscopy (SEM), Raman spectroscopy, and X-ray photoelectron spectroscopy (XPS) analysis. A linear response was obtained when varying the concentration of both CC and RS, with the limits of detection of about 0.059 μM (CC) and 0.034 μM (RS) (3S/M) obtained.…”
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Rice Bran or Apple Pomace? Comparative Data Analysis of Astaxanthin Bioproduction by Derya Dursun, Ali Çoşkun Dalgıç

“…Predicted response results of response surface methodology (RSM) and radial basis function-neural network (RBF-NN) were compared in order to evaluate the accuracy of two methodologies on non-linear behavior of the astaxanthin bioproduction. …”
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Prediction of aggregation in monoclonal antibodies from molecular surface curvature by Benjamin Knez, Lara Erzin, Žiga Kos, Drago Kuzman, Miha Ravnik

“…By combining local surface curvature and hydrophobicity, as derived from time-dependent MD simulations, we are able to construct aggregation predictive features that, when coupled with linear regression machine learning techniques, give a high prediction accuracy ( $$r=0.91$$ ) on a dataset of 20 molecules. …”
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Using machine learning techniques for DSP software performance prediction at source code level by Weihua Liu, Erh-Wen Hu, Bogong Su, Jian Wang

“…In this paper, we introduce a new prediction model, which combines several machine learning algorithms, such as KNN, clustering, similarity, sample and attribute weighting with multiple linear regression techniques, to predict the execution time of Digital Signal Processing (DSP) software at the source code level. …”
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Self-organization and criticality for measuring altered states of consciousness by Nike Walter, Adolfo Rafael Lambert Delgado, Alberto Erconvaldo Cobián Mena, Thomas Loew

“…Although methods like electroencephalography (EEG) provide insights into brain activity, traditional linear analyses are insufficient to capture its immense complexity. …”
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Optimizing success rate with Nonlinear Mapping Control in a high-performance raspberry Pi-based light source target tracking system. by Guiyu Zhou, Bo Zhang, Qinghao Li, Qin Zhao, Shengyao Zhang

“…This study addresses the limitations of linear mapping in two-dimensional gimbal control for moving target tracking, which results in significant control errors and slow response times. …”
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An exploration of modeling approaches for capturing seasonal transmission in stochastic epidemic models by Mahmudul Bari Hridoy

“…In this paper, I highlight key modeling approaches for incorporating seasonality into disease transmission, including sinusoidal functions, periodic piecewise linear functions, Fourier series expansions, Gaussian functions, and data-driven methods. …”
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Shear transport in far-from-equilibrium isotropization of supersymmetric Yang-Mills plasma by Shoucheng Wang, Song He, Li Li

“…In particular, this ratio can be parametrically smaller than the Kovtun-Son-Starinets bound calculated from linear response theory.…”
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Enhancing Anti-Money Laundering Frameworks: An Application of Graph Neural Networks in Cryptocurrency Transaction Classification by Stefano Ferretti, Gabriele D'Angelo, Vittorio Ghini

“…Our findings suggest that the use of Graph Neural Network convolutions, combined with a final linear layer and skip connections, allow for an improvement in the state-of-the-art results, especially when Chebyshev and GATv2 convolutions are used.…”
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Optimal Iterative Learning Fault-Tolerant Guaranteed Cost Control for Batch Processes in the 2D-FM Model by Limin Wang, Weiwei Dong

“…Conditions for the existence of the controller are derived in terms of linear matrix inequalities (LMIs), and a design procedure of the controller is presented. …”
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Desenvolvimento geográfico desigual e planejamento em Santa Catarina: a Política Catarinense de Ciência, Tecnologia e Inovação by Ivo Marcos Theis, Ana Cláudia Moser, Diego Boehlke Vargas

“…A análise debruça-se sobre a Lei de Inovação do Estado de Santa Catarina e o documento da PCCTI à luz da crítica à cadeia linear de inovação e do conceito de desenvolvimento geográfico desigual. …”
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Cytotoxic Test of Cassia alata L. Leaves Ethanol Extracts, Fractions, and Main Compounds against MCF-7 Cells by Marya Salfia Khoerunisah, Marissa Angelina, Kasiyati Kasiyati

“…IC50 was determined by linear regression analysis describing the relationship between concentration and % cell viability. …”
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Study on Expansion Characteristics and Expansion Potential of Gypsum Rock by Junfu Fu, Huayun Li, Kaicheng Zhu, Yelei Chen, Zhongcheng Lei

“…The ultimate expansion ratio and BET-specific surface area have an excellent linear relationship with the ultimate expansion force. …”
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Design of multipass cell with dense spot patterns and its performance in a light-induced thermoelastic spectroscopy-based methane sensor by Yufei Ma, Yahui Liu, Ying He, Shunda Qiao, Haiyue Sun

“…The CH4-LITES sensor exhibited an excellent linear response to optical power and CH4 concentration. …”
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