A Neutrosophic Multi-Objective Optimization Framework for Sustainable Design of Water Supply Systems by Jesús Rafael Hechavarría Hernández, Maikel Yelandi Leyva Vázquez

“…This work proposes a Neutrosophic Multi-Objective Model (NMM) that integrates Neutrosophic Logic to capture uncertainty in decision variables, objective functions, and constraints. Unlike conventional methods, NMM allows considering degrees of truth, indeterminacy, and falsity, offering a more robust and flexible framework for decision-making in WSS. …”
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Variational Iteration and Linearized Liapunov Methods for Seeking the Analytic Solutions of Nonlinear Boundary Value Problems by Chein-Shan Liu, Botong Li, Chung-Lun Kuo

“…The boundary shape function method transforms the boundary value problem to an initial value problem (IVP) for a new variable. …”
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CLINICAL SIGNIFICANCE OF ASPIRIN RESISTANCE IN PATIENTS WITH CARDIO-VASCULAR DISEASES by P. J. Dovgalevsky, N. V. Furman, N. F. Puchinian

“…Possible reasons for this are discussed: low compliance with treatment, peculiarities of functional condition of platelets, genetically given variability of platelet receptors etc. …”
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Application of the variation operator in a genetic algorithm for the synthesis of fuzzy controllers by I. V. Kulikova

“…This article studies the problem of increasing the efficiency of fuzzy controller synthesis in a control system using a genetic algorithm. …”
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Nonlinear Dynamics of an Electromagnetically Actuated Cantilever Beam Under Harmonic External Excitation by Nicolae Herisanu, Bogdan Marinca, Vasile Marinca

“…Also, Pontryagin’s principle with respect to the control variable is applied in the construction of the Lyapunov function.…”
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A new method for routing protocols using hybrid fuzzy clustering in UWSNs by Xiaoju Wang, Bin Meng, Xuexu Yuan, Junwei Zhao

“…Besides, the new scheme improved energy variance by 40% at nodes to prolong the network lifetime and maintain a higher throughput in conditions of variable network load. This fuzzy clustering technique stands apart because it tries to overcome UWSN-specific challenges using adaptive data aggregation along with multistep communication and hence is more resistant and energy-efficient compared to the conventional protocols.…”
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Ecological and Ergonomic Aspects of Operating Hybrid Sunflower Cultivation Technologies by M. A. Kerimov, V. V. Vetushko

“…(Results and discussion) The study demonstrates that the research objective is achieved through two core systems engineering tasks: analysis, which involves identifying key parameters of the biotechnical system and environmental variables that exhibit probabilistic-statistical variability; and synthesis, which involves justifying an optimal control scheme for system operation. …”
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Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

“…The article deals with the multi-criteria task of routing and scheduling of unmanned and manned aircraft using the method of penalty functions. The authors describe the urgency of the problem being solved for the airline management under the conditions of the existing changes in the dynamic situation with a great variety of flight situations. …”
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Sex differences in anaerobic performance in CrossFit® athletes: a comparison of three different all-out tests by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Domínguez, Javier Benítez-Porres

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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Addressing the spatial variability, temporal dynamics, and non-linearity characteristics of port water levels, a hybrid prediction scheme was proposed, which integrates empirical mode decomposition (EMD) with a radial basis function neural network (RBFNN), optimized using the particle swarm optimization (PSO) algorithm. …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…Abstract Engineering design optimization problems present significant challenges due to the complexity of objective functions, which often involve both continuous and discrete design variables, along with multiple constraints. …”
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Numerical Investigation, Error Analysis and Application of Joint Quadrature Scheme in Physical Sciences by Saumya Ranjan Jena, Damayanti Nayak, Mitali Madhumita Acharya, Satya Kumar Misra

“…Numerical results of the present method with a lower level of precision are presented and compared with those performed by the existing high-precision Gauss-Legendre five-point rule in two variables, which has the same functional evaluation. …”
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Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations by Wulfran Fendzi Mbasso, Reagan Jean Jacques Molu, Ambe Harrison, Mukesh Pushkarna, Fritz Nguemo Kemdoum, Emmanuel Fendzi Donfack, Pradeep Jangir, Pierre Tiako, Milkias Berhanu Tuka

“…The hybrid model, which combines sinusoidal and polynomial functions, achieved an accuracy of 79.15% in estimating energy consumption using temperature as a predictor variable. …”
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Polymer-based nanoparticles for cancer theranostics: advances, challenges, and future perspectives by Kaylin Shanahan, Daniel Coen, Wanis Nafo

“…Key factors influencing the efficiency of polymer nanoparticle-based contrast agents include physicochemical properties such as particle size, morphology, surface functionalization, and responsiveness to tumor microenvironmental stimuli. …”
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Activated carbons for effective pharmaceutical adsorption: Impact of feedstock origin, activation agents, adsorption conditions, and cost analysis by Issam Mechnou, Anasse Benabdallah, Az-Iddin Chham, Younes Rachdi, Miloudi Hlaibi, Abdeslam El kartouti, Na’il Saleh

“…Fossil coals, agricultural waste and lignin constitute the second class, with variable costs. Finally, aquatic biomass and petrochemicals (third class) is unfavorable because of its low yield and expensive production. …”
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METHOD AND SYSTEM FOR ASSESSING OF SPORTSMAN’S PHYSIOLOGICAL RESERVES DURING PHYSICAL EXERCISES by Nguyen Mau Thach, Nguyen Trong Tuyen, Tran Trong Huu

“…This parameter reflects functioning of various body systems which provide significant income to the sportsman’s result achievement. …”
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SWRD–YOLO: A Lightweight Instance Segmentation Model for Estimating Rice Lodging Degree in UAV Remote Sensing Images with Real-Time Edge Deployment by Chunyou Guo, Feng Tan

“…However, Unmanned Aerial Vehicle (UAV)-based lodging detection faces challenges such as complex backgrounds, variable lighting, and irregular lodging patterns. …”
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Exploring the synthesis and biomedical potential of banana stem fiber for antimicrobial and wound healing applications by K. Umapathi, M. Jayasheela, Manohar Ramya, J. K. Hari Sriram, G. Shibu, E. Gladson Paul, J. Yogitha, M. Sheik Abdullah, C. Sushma, M. Manjupriya, S. Jerone Samuvel

“…In addition, challenges and limitations that hurdle research progress, and potential for future biomaterials through functionalization are discussed. Review findings support potential for research intervention at the integration of banana fibers, biopolymers and nanotechnology towards development of efficient wound healing materials. …”
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A deep neural network for adaptive spatial smoothing of task fMRI data by Zhengshi Yang, Xiaowei Zhuang, Mark J. Lowe, Dietmar Cordes, Dietmar Cordes

“…Over the past decade, functional magnetic resonance imaging (fMRI) has emerged as a widely adopted in vivo imaging technique for examining neural activity in the brain. …”
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HVAC/DC system reliability evaluation based on improvement point estimation method by Jiaqi ZHAO, Ning FENG, Yue WANG

“…The proposed method analyzes the structure of various components of a typical HVAC/DC system and leverages the Dirac function to smooth the involved discrete random variables, so that the discrete component status can be generally tackled in common with the load, wind power and other continuous random variables using the point estimation method. …”
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