Two Weighted Fuzzy Goal Programming Methods to Solve Multiobjective Goal Programming Problem by Mousumi Gupta, Debasish Bhattacharjee

“…Here, the relative weights represent the relative importance of the objective functions. The proposed methods involve one additional goal constraint by introducing only underdeviation variables to the fuzzy operator λ (resp., 1-λ), which is more efficient than some well-known existing methods such as those proposed by Zimmermann, Hannan, Tiwari, and Mohamed. …”
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Numerical discussion of phase-lag mixed integral equations with general discontinuous kernels by Abeer M. Al-Bugami, M. A. Abdou

“…This integral equation has coefficients that vary in time and phase-lag time. It was proven that this method linked the time variables to the kernel of the integral equation in terms of the existence of a single solution. …”
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An enhanced buck-boost converter for photovoltaic diagnosis application: Accurate MPP tracker and I-V tracer by Yassine Chouay, Mohammed Ouassaid

“…In normal operation, the converter is controlled by neural network (NN) controller to efficiently extract maximum power point (MPP). However, in the event of a system failure, the converter automatically transitions to variable load mode to capture different points on the current-voltage (I-V) curve. …”
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Comparative Evaluation of 5-<i>n</i>-Alkylresorcinol Extraction Conditions from Wheat Bran via Metabolite Profiling: Implications for Antiproliferative Activity by Ronald Marentes-Culma, Ericsson Coy-Barrera

“…This finding suggests that both side-chain length and functionalization (e.g., keto groups) influence AR bioactivity. …”
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Mitochondrial genome and transcription of Shiraia-like species reveal evolutionary aspects in protein-coding genes by Xiao-Ye Shen, Xue-Ting Cao, Xiao-Bo Huang, Lan Zhuo, Hui-Meng Yang, Li Fan, Cheng-Lin Hou

“…The complete mitogenomes of hypocrellin-producing Pseudoshiraia conidialis strains were analysed in the present study, with functional gene variations through comparative genomics and transcriptomics. …”
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Numerical Mixing Index: Definition and Application on Concrete Mixer by Cristian Ferrari, Nicolò Beccati, Luca Magri

“…The method predicts the distribution efficiency of the materials within a truck mixer as a function of its internal geometry, rotation speed, and mixture composition. …”
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Providing a Framework for Performance Evaluation of Organizations in Successfully Implementing TQM, Based on Knowledge Management Approach and Organizational Agility by Neda Irannejad, Hadi Shirouyehzad, Arash Shahin

“…To express the above-given relationship, group interpretive structural modelling (ISM (interpretive structural modelling)) techniques have been used to rank the components of each domain; also, fuzzy quality function deployment (FQFD (fuzzy quality function deployment)) technique has been applied to find the weight and relationship of the three mentioned domains by examining the independent and interface variables of the previous step. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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Assessing the Skeletal Muscle Pump During Lower Limb Counterpressure: Lags and Causality in Cardiovascular Regulation by Silvin P. Knight, Eoin Duggan, Feng Xue, Roman Romero‐Ortuno

“…Mean peak cross‐correlation coefficients during the standing PCM were 0.609 for EMG to HR, 0.516 for EMG to TPR and 0.564 for EMG to SV. …”
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Allometric equation for estimating aboveground biomass of Acacia-Commiphora forest, southern Ethiopia by Wondimagegn Amanuel, Chala Tadesse, Moges Molla, Desalegn Getinet, Zenebe Mekonnen

“…Data was transformed to logarithmic functions and multiple linear regression techniques were used to develop model to estimate aboveground biomass (AGB). …”
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Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping by Shuilong He, Keren Chen, Enyong Xu, Wei Wang, Zhansi Jiang

“…The sum of the frequency-weighted RMS of the driver seat acceleration, the RMS of dynamic tyre load, and suspension working space is taken as the objective function in this article, using nonlinear damping coefficients and stiffness of suspension as design variables. …”
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Research on Constraint Processing Method of High-dimensional Optimization Operation Problem of Cascade Reservoirs by Zhongzheng HE, Shuliang LI, Wei HUANG, Feng YAN, Jisi FU, bin XIONG

“…The intelligent optimization algorithm is a multidimensional linkage random search, which boasts a vast optimization space but suffers from low optimization efficiency. Therefore, this study introduces a constraint processing approach that integrates a penalty function with nested DPSA–POA and intelligent algorithms and applies it to the optimal flood control operation problem of cascade reservoirs in the middle reaches of the Ganjiang River, with decision variables extending to 2196 dimensions. …”
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Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

“…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
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Solving Linear Programming Problems by Reducing to the Form with an Obvious Answer by Gleb D. Stepanov

“…From the coefficients of the mentioned functionals, a matrix is formed, which is called the LPP matrix. …”
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The Impact of Corporate Governance on Earnings Management in Palestine: The Moderating Effects of Political Instability by Ali Hassan Ibraheem Aljadba, Norhaziah Nawai, Nur Hidayah Laili

“…The results of this work may assist the regulatory bodies, policymakers, and practitioners in revising the corporate governance code to promote the efficiency of the BOD and AC monitoring functions for the purpose to improve the faithfulness and reliability of financial reports and also to deter the management from engaging in critical levels of EM.…”
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Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization by Manish Kumar Singla, S. A. Muhammed Ali, Ramesh Kumar, Pradeep Jangir, Mohammad Khishe, G. Gulothungan, Haitham A. Mahmoud

“…These parameters function as decision variables, and the objective function aimed for minimization is the sum square error (SSE) between the predicted and actual measured cell voltages. …”
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Histological and molecular characterization of the digestive system of early weaned juveniles of Arapaima sp. reared in a recirculating aquaculture system. by Maria J Darias, Guillain Estivals, Karl B Andree, Christian Fernández-Méndez, Roger Bazán, Chantal Cahu, Enric Gisbert, Diana Castro-Ruiz

“…However, reliance on natural breeding and parental care in earthen ponds results in variable fingerling survival, hindering production. …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Utilization of frequency as a sequential variable handled by RNN is a distinguishing feature of our approach, which leads to the enhancement of dependability and cost efficiency. …”
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The role of digital green accounting and environment performance on forest sustainable development goals: A case study on customary forest in Papu by Otniel Safkaur, Bill Pangayow, Halomoan Hutajulu, Lediana Hanasbe

“…Therefore, Green Accounting is a business concept that focuses on the efficiency and effectiveness of long-term resource use in integrating the customary forest environmental functions and providing social benefits. …”
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Assignment of the cutting mode when boring holes on CNC machine by Yuri Petrakov, Mariia Danylchenko

“…In addition, positive feedback is taken into account through the delay argument function, which represents machining along traces. …”
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