Contribution of Murabahah Financing and Liquidity Towards the Profitability of BMT UGT Nusantara Capem Jajag by Dea Amelia Fitria, Nur Anim Jauhariyah

“…Data analysis using multiple linear regression with SPSS software. The results of the analysis show that the variable independently influential positive and significant to profitability. …”
Get full text

Application of Permutation Entropy in Feature Extraction for Near-Infrared Spectroscopy Noninvasive Blood Glucose Detection by Xiaoli Li, Chengwei Li

“…Accurate blood glucose detection became an important part in controlling the state of diabetes patients. Excellent linear correlation existed between blood glucose concentration and near-infrared spectral absorption. …”
Get full text

Comprehensive Evaluation of Transit-Oriented Development (TOD) Guidance Systems: A Case Study of Shanghai TODs by Zhan Zhang, Bochen Cao, Alima Adalaiti, Linjun Lu, Xinyi Fang

“…The results reveal a strong linear regression relationship between AHP quantitative scores and SUS questionnaire scores, validating the effectiveness of the proposed indicator framework. …”
Get full text

Approximate Crank–Nicolson Algorithm with Higher-Order PML Implementation for Plasma Simulation in Open Region Problems by Liqiang Niu, Yongjun Xie, Jie Gao, Peiyu Wu, Haolin Jiang

“…The unmagnetized plasma can be regarded as frequency-dependent media which can be calculated by the piecewise linear recursive convolution (PLRC) method. The proposed implementation shows the advantages of higher-order concept, CNDS procedure, and PLRC method in terms of improved absorbing performance, enhanced computational efficiency, and outstanding calculation accuracy. …”
Get full text

Correlates of HIV treatment adherence self-efficacy among adolescents and young adults living with HIV in southwestern Uganda. by Scholastic Ashaba, Charles Baguma, Patricia Tushemereirwe, Denis Nansera, Samuel Maling, Brian C Zanon, Alexander C Tsai

“…We collected information on adherence self-efficacy, HIV stigma, depression, self-management, and social skills. We used linear regression to estimate the association between adherence self-efficacy and the covariates of interest. …”
Get full text

Geometric and Physical Characteristics of Precipitation Clouds in Tibetan Plateau by Kunyu Teng, Hongke Cai, Xiubin Sun, Quanliang Chen

“…The average length and width of precipitation clouds show a logarithmic, linear relationship. The distribution of raindrops in precipitation clouds is relatively compact. …”
Get full text

Filter-based models of suppression in retinal ganglion cells: Comparison and generalization across species and stimuli. by Neda Shahidi, Fernando Rozenblit, Mohammad H Khani, Helene M Schreyer, Matthias Mietsch, Dario A Protti, Tim Gollisch

“…For the majority of ganglion cells, the subtractive and divisive models perform similarly and outperform the feedback model as well as a linear-nonlinear (LN) model with no suppression. Comparison between the subtractive and the divisive model depends on cell type, species, and stimulus components, with the divisive model generalizing best across temporal stimulus frequencies and visual contrast and the subtractive model capturing in particular responses for slow temporal stimulus dynamics and for slow axolotl cells. …”
Get full text

Dynamics of Economic Development Measure. Fiftieth Anniversary of Publication of the Article by Prof. Zdzisław Hellwig by Jarosław Bielak, Mieczysław Kowerski

“…The pattern of economic development method developed in the article was the first proposal of a method of linear ordering in the area of economic research. …”
Get full text

Three-Step Epipolar-Based Visual Servoing for Nonholonomic Robot with FOV Constraint by Yang Xu, Jun Peng, Wentao Yu, Yuan Fang, Weirong Liu

“…Firstly, by using the difference of epipoles as feedback, the robot rotates to make the current configuration and desired configuration in the same orientation. Then, by using a linear input-output feedback, the epipoles are zeroed so as to align the robot with the goal. …”
Get full text

Macroeconomic Determinants of Accumulated M&A Transaction Values within the U.S. Market by I.  V. Tregub, A.  F.  Butyrskiy

“…By employing the ordinary least square method of a multiple linear regression equation, it was determined that logarithmic GDP growth together with the discount rate had a significant positive effect on the explanation of the dependent variable, while the 10-year US Treasury bond yield had a negative relationship. …”
Get full text

LOGISTIC REGRESSION AS A TOOL FOR DETERMINATION OF THE PROBABILITY OF DEFAULT FOR ENTERPRISES by Erika SPUCHLAKOVA, Maria KOVACOVA

“…The basic principle of this static method is based on the regression analysis, but unlike linear regression, it can predict the probability of a phenomenon that has occurred or not. …”
Get full text

Eco-Friendly electrochemical sensor for vildagliptin detection in human plasma: green approach using ZnO nanoparticles and graphene oxide by Bassant Samy, Mokhtar M. Mabrouk, Mohamed A. Abdel Hamid, Hytham M. Ahmed

“…The determination of VID using the used sensor was shown to have a linear relationship over a concentration range of (15–150 µg/ml) under optimized conditions, with an LOD of 4.9 µg/ml and an LOQ of 15 µg/ml. …”
Get full text

Decoding Green Consumption Behavior Among Chinese Consumers: Insights from Machine Learning Models on Emotional and Social Influences by Ying Lu, Sang-Do Park

“…Unlike conventional studies that rely on linear models or survey-based analyses, this study leveraged machine learning to uncover complex, nonlinear interactions between these factors. …”
Get full text

Development of a simulation model of energy-saving system based on CCGT-110 and ABСM for energy and thermodynamic analysis by L. V. Galimova, D. Z. Bayramov

“…The purpose of this work is to develop a simulation model based on the C# programming language for the energy-saving CCGT-110 and ABCM system based on the results of manual analysis according to the data of a full-scale experiment.Method. Methods of linear and nonlinear approximation, methods of energy and thermodynamic analysis, as well as methods of mathematical simulation modeling are used to develop the simulation model.Result.The result of this work is the developed software SAESS 3.0, which allows you to analyze the operation of the CCGT-110 and ABCM systems together and  separately  in  a  wide  range  of  parameters  and  in  real  time.  …”
Get full text

Physician Orders for Waiting Room Patients: Ethical Considerations by Nicholas Kluesner, Jennifer Chapman, Monisha Dilip, James H. Paxton, Karen Jubanyik, Paul Bissmeyer Jr.

“…With increasing emergency department (ED) boarding and crowding, EDs have introduced several novel care-delivery initiatives including split-flow models (e.g., fast tracks), non-linear patient flow models (e.g., protocol bays), nursing triage order sets, physician-in-triage, and the use of non-traditional care areas (e.g., ED hallways). …”
Get full text

Target Threat Assessment Method for UUVs Based on EBM by Shuwei LIU, Jianqing CHENG, Kai LIU

“…As an advanced machine learning technology, EBM cleverly integrates gradient boosting and generalized additive model to achieve the perfect combination of high interpretability of linear model and accuracy of gradient boosting algorithm. …”
Get full text

Magnetohydrodynamic Flow of Immiscible Jeffrey Fluids Through a Horizontal Porous Cylinder by Yitagesu Daba, Gosa Gadisa

“…Instead of the usual no-slip condition, the linear Navier slip is used as a boundary condition on the cylinder’s surface, whereas the usual continuity conditions of velocity and shear stress are presumed at the fluid–fluid interface. …”
Get full text

Performance evaluation, optimization and dynamic decision in blockchain systems: a recent overview by Quan-Lin Li, Yan-Xia Chang, Qing Wang

“…Important examples include (a) performance evaluation: Markov processes, queuing theory, Markov reward processes, random walks, fluid and diffusion approximations, and martingale theory; (b) performance optimization:Linear programming, nonlinear programming, integer programming, and multi-objective programming; (c) optimal control and dynamic decision: Markov decision processes, and stochastic optimal control; and (d) artificial intelligence: Machine learning, deep reinforcement learning, and federated learning. …”
Get full text

The Hierarchical Perspective by Daniel Sofron

“…This paper is focused on the hierarchical perspective, one of the methods for representing space that was used before the discovery of the Renaissance linear perspective. The hierarchical perspective has a more or less pronounced scientific character and its study offers us a clear image of the way the representatives of the cultures that developed it used to perceive the sensitive reality. …”
Get full text

Pencegahan Fraud Pengadaan Barang Dan Jasa Melalui Whistleblowing System Dan Kesadaran Anti-Fraud by Siti Destiah Fitriani, Evada Dewata, Desi Indriasari

“…Data were analyzed using multiple linear regression with the SPSS 25 tool. The results showed that the whistleblowing system and anti-fraud awareness partially and simultaneously positively and significantly affect preventing fraud in procuring goods and services. …”
Get full text