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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Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments by Rana M. Khalil, Lisa M. Shulman, Ann L. Gruber-Baldini, Sunita Shakya, Jeffrey M. Hausdorff, Rainer von Coelln, Michael P. Cummings

“…Although the total duration remains relatively consistent between trials (intraclass correlation coefficient (ICC) = 0.62 to 0.95), greater variability is seen in subtask duration and sensor-derived measures, reflected in machine learning performance and statistical differences. …”
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ON TECHNIQUE OF FUZZY EXPERT KNOWLEDGE REPRESENTATION by Lyudmila Victorovna Borisova, Valery Petrovich Dimitrov, Inna Nikolayevna Nurutdinova

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Modelling Sustainable Port Operations: Balancing Inputs and Outputs with the Cobb–Douglas Function by Claudia Durán, Ivan Derpich, Fabricio Moreno, Amir Karbassi Yazdi, Yong Tan

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Price discovery and market efficiency of cardamom in India by A.N. Vijayakumar

“…Hence, suggests policy intervention for implementing an online Forward Market mechanism for Indian cardamom to ensure market efficiency and manage price risk.…”
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Modeling creep for a closed cylindrical shell under hydrostatic pressure by M. A. Magomedov, V. V. Kuznetsov, B. M. Yazyev, S. V. Litvinov

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On an Optimal Quadrature Formula for Classes of Functions Given by Modulus of Continuity by M. Sh. Shabozov

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Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building by Liu Zhaohui, Li Zhenyu, Tan Hongwei, Xu Wen, Feng Wenbo, Yi Biyi

“…To develop this strategy, a variable-speed heat-pump model and the objective function for optimization of the heat-pump sequence control were first established, so as to determine the optimal solutions under partial building loads. …”
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An Analysis of Cotton Production Technology on the Harran Plain by Abdulbaki Bılgıc, Seyda Ipekcıoglu, Tamer Isgın

“…In this research, it was aimed to determine effects of three production factors; labor, capital, and land, on the current level of cotton output produced by a sample of local cotton farmers operating on the Harran Plain in Turkey and whether this relation may be used to assess the returns-to-scale parameter, also known as the function coefficient in the production economics literature. …”
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Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production by Ranit De, Shanning Bao, Sujan Koirala, Alexander Brenning, Markus Reichstein, Torbern Tagesson, Michael Liddell, Andreas Ibrom, Sebastian Wolf, Ladislav Šigut, Lukas Hörtnagl, William Woodgate, Mika Korkiakoski, Lutz Merbold, T. Andrew Black, Marilyn Roland, Anne Klosterhalfen, Peter D. Blanken, Sara Knox, Simone Sabbatini, Bert Gielen, Leonardo Montagnani, Rasmus Fensholt, Georg Wohlfahrt, Ankur R. Desai, Eugénie Paul‐Limoges, Marta Galvagno, Albin Hammerle, Georg Jocher, Borja Ruiz Reverter, David Holl, Jiquan Chen, Luca Vitale, M. Altaf Arain, Nuno Carvalhais

“…Both models simulated hourly GPP and were parameterized for (a) each site–year, (b) each site with an additional constraint on IAV (CostIAV), (c) each site, (d) each plant–functional type, and (e) globally. This was followed by forward runs using calibrated parameters, and model evaluations using Nash–Sutcliffe efficiency (NSE) as a model‐fitness measure at different temporal scales across 198 eddy‐covariance sites representing diverse climate–vegetation types. …”
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Functional Asymmetries and Force Efficiency in Elite Junior Badminton: A Controlled Trial Using Hop Test Metrics and Neuromuscular Adaption Indices by Mariola Gepfert, Artur Gołaś, Adam Maszczyk, Kajetan Ornowski, Przemysław Pietraszewski

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Variable power functional dilution adjustment of spot urine by Thomas Clemens Carmine

“…This study introduces a novel variable power functional creatinine correction method (V-PFCRC) to normalize analytes to 1 g/L CRN by utilizing uncorrected analyte levels and two analyte-specific coefficients, c and d. …”
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DBEM solutions to modified Helmholtz problems for FGMs of space–time-dependent properties by Mohammad Ivan Azis

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Modeling the Public Transport Networks: A Study of Their Efficiency by Mary Luz Mouronte-López

“…We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. In modeling, the response variable was described by a binomial probability density function, and the logit function was used as a link function. …”
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IMPACT OF INTEGRATED SUPERVISION ON VOLUNTARY PENSION INSURANCE EFFICIENCY by Tatjana Rakonjac-Antić, Vesna Rajić

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IMPACT OF INTEGRATED SUPERVISION ON VOLUNTARY PENSION INSURANCE EFFICIENCY by Tatjana Rakonjac-Antić, Vesna Rajić

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Axl contributes to efficient migration and invasion of melanoma cells. by Hanshuang Shao, Diana Teramae, Alan Wells

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Enhancing building energy efficiency with thermal mass optimization by Yichen Han, Zhengyu He, Shuangdui Wu, Yuqiu Liu, Yingkai Lian, Chaohong Wang, Jiajia Feng, Zhengnan Zhou

“…However, effectively harnessing this energy remains challenging due to the spatiotemporal variability of heat storage–release behavior in building components, which often misaligns with building operational demands. …”
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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions by Mohammad Masjed-Jamei

“…In this direction, some new concepts, such as p-covariances with respect to a fixed variable, p-correlation coefficients with respect to a fixed variable, and p-uncorrelatedness with respect to a fixed variable, are defined in order to establish least p-variance approximations. …”
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