The constrained-disorder principle defines the functions of systems in nature by Yaron Ilan

“…The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. …”
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Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil) by Ana Carolina Peixoto Chamizo, Cacilda Thais Janson Mercante, Munique de Almeida Bispo Moraes, Clóvis Ferreira do Carmo, Matheus Barbosa Herbst de Oliveira, João Alexandre Saviolo Osti

“…This research applied the Morphology-Based Functional Groups (MBFGs) combined with classical approaches, such as community descriptor species and phytoplankton classes in the Billings reservoir. …”
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Efficiency of structural brain networks mediates age-associated differences in executive functioning in older adults by Geraldine Rodríguez-Nieto, Geraldine Rodríguez-Nieto, Caroline Seer, Caroline Seer, Hamed Zivari Adab, Hamed Zivari Adab, Antonio Jimenez-Marin, Sima Chalavi, Sima Chalavi, Amirhossein Rasooli, Amirhossein Rasooli, Jesús M. Cortés, Jesús M. Cortés, Jesús M. Cortés, Stefan Sunaert, Stephan P. Swinnen, Stephan P. Swinnen

“…Further regional efficiency analyses identified the nodes that contributed to the mediation effect of local efficiency.DiscussionThese results shed light on the shared variability among the integrity of structural brain networks and EF at older age. …”
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Nonlinear free oscillation of tri-directional functionally graded porous skew-plates with variable thickness in high-thermal environment by Hong Hieu Le, Van Ke Tran, Nhan Thinh Hoang, Tran Ha Phuong Thanh

“…For the first time, a finite element model was constructed based on the improved shear deformation plate theory and the von Kármán assumption to analyze the linear and nonlinear free vibration behaviour of tri-directional functionally graded porous (TFGP) skew-plates with variable thickness resting on variable Pasternak-elastic foundation in high-temperature environments. …”
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Comparison of the efficiency of zero and first order minimization methods in neural networks by E. A. Gubareva, S. I. Khashin, E. S. Shemyakova

“…Numerous experiments show that the analytical calculation time of an N variable function’s gradient is approximately N/5 times longer than the calculation time of the function itself. …”
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Are Rice Farming and Production in the Urban Farming Areas Still Efficient? A Stochastic Production Function Choice by Tamy Erissanti, S Supadi, S Suharno

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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data by Kevin Otieno, Linda Chaba, Linda Chaba, Evans Omondi, Evans Omondi, Collins Odhiambo, Collins Odhiambo, Bernard Omolo, Bernard Omolo

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Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach by Md. Jamal Hossain, Nazia Sultana, Anwesha Das, Fariea Nazim Jui, Md. Kamrul Islam, Md. Mijanoor Rahman, Mohammad Mafizur Rahman

“…BackgroundDengue fever is a serious public health issue in Bangladesh, where its incidence rises with the monsoon. Meteorological variables are believed to be responsible factors among others. …”
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Reliability Analysis in Presence of Random Variables and Fuzzy Variables by Cui Lijie, Lü Zhenzhou, Li Guijie

“…Furthermore, a technique based on the probability density function evolution method is employed to improve the computational efficiency of the proposed indices. …”
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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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Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Margarita De Miguel-Guzmán, Gelmar García-Vidal, Rodobaldo Martínez-Vivar

“…The results show that prioritizing the objective function leads to a balanced optimization of all indicators, improving operational efficiency and reducing flow time. …”
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Optimal root pruning to promote growth and water use efficiency of rice seedlings by ZHU Mei, HU Chenfan, LIU Shuoshuo, LIN Shimiao, LIU Jingzhe

“…Key indicators such as seedling vigor index, root-to-shoot ratio, photosynthetic traits, and water use efficiency were measured during the. Using the membership function method, seven variables were used to comprehensively assess the impact of different pruning treatments.…”
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Efficient and conservative estimation reliability analysis of strip footing on spatially variable c - ϕ soil using random finite element limit analysis by Szabowicz Hubert, Kawa Marek, Puła Wojciech

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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints by Karla Ruiz-Hussmann, Pierre-Luc Delafin, Cyrille Bonamy, Yves Delannoy, Dominique Thévenin, Stefan Hoerner

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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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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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Hydrophobic nanostructured bioaerogel filters for efficient particulate matter removal by Wafa Mustafa Saleh, Esam Bashir Yahya, Mardiana Idayu Ahmad, Abdul Khalil H. P. S.

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Enhancing water use efficiency: Insights from hydrological variability encounter of multiple water sources and implications for terminal Lake management in arid regions by Kun Liu, Yunfei Chen, Bin Wu, Hailiang Xu, Abdul Waheed, Fan Gao, Bing He, Long Zhou, Jie Wu, Qin Zhang, Jinhao Ju

“…Multivariate empirical mode decomposition (MEMD) was applied to identify periodic characteristics of runoff, while wavelet coherence transform assessed the consistency of runoff patterns. A Copula function was then utilized to construct a joint distribution model, quantifying variability patterns and their cascading effects on ecological water use in Taitema Lake. …”
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ANALYSIS OF THE TECHNICAL EFFICIENCY OF EUROPEAN SEA BASS FARMS IN TURKEY: A STOCHASTIC FRONTIER PRODUCTION FUNCTION APPROACH by Mehmet AYDOÄžAN, Osman UYSAL

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ANALYSIS OF THE TECHNICAL EFFICIENCY OF EUROPEAN SEA BASS FARMS IN TURKEY: A STOCHASTIC FRONTIER PRODUCTION FUNCTION APPROACH by Mehmet AYDOĞAN, Osman UYSAL

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