Investigating Engine Performance and Emission Characteristics during Testing of Diesel-Biodiesel Mixed Fuels Obtained from Vegetable Oils and their Modeling by S. R. Mousavi Seyedi, M. Askari, S. M. R. Miri

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Standardization of CPUE for walleye pollock in the Okhotsk Sea with inclusion of some environmental factors by V. V. Kulik, A. I. Varkentin, O. I. Ilyin

“…The sea surface temperature, ice cover and storms frequency were examined as possible reasons of low fishing efficiency in 2018. For this purpose, the generalized linear models (GLM) and generalized additive models (GAM) of catch dynamics are compared. …”
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Using machine learning to predict gamma shielding properties: a comparative study by T A Nahool, A M Abdelmonem, M S Ali, A M Yasser

“…This study employed machine learning (ML) algorithms to predict the linear attenuation coefficients (LACs) of materials in inorganic scintillation detectors, which are crucial for evaluating self-shielding properties. …”
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New results on eliminating the duality gap of the second-order-cone reformulation for extended trust-region subproblem with two intersecting cuts by Wang, Meiling

“…In this paper, we consider the nonconvex extended trust-region subproblem with two intersecting linear inequality constraints, $(\mathrm{ETR}_2)$, and use a sequence of semi-definite programming (SDP) problems with second-order-cone(SOC) constraints to eliminate the duality gap of the SOC reformulation for $(\mathrm{ETR}_2)$. …”
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INDUSTRIAL ENTERPRISE MANAGEMENT SYSTEM QUALITY ASSESMENT by S. V. Pankov

“…Management systems of small-scale enterprises in Moscow region are of centralized linear type. Misunderstanding of the need for qualitymanagement operational processes is observed in such business structures. …”
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A New LQR Optimal Control for a Single-Link Flexible Joint Robot Manipulator Based on Grey Wolf Optimizer by Navid Razmjooy, Mehdi Ramezani, Ali Namadchian

“…After that, a Linear Quadratic Regulator (LQR) controller is used for optimal control of the manipulator. …”
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Generation Algorithms for Thévenin and Norton Equivalent Circuits by Mihaela Grib, Ioana-Gabriela Sirbu, Lucian Mandache, Marilena Stanculescu, Mihai Iordache, Lavinia Bobaru, Dragos Niculae

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Proactive Frequency Stability Scheme Based on Bayesian Filters and Spectral Clustering by Gian Paramo, Mario D. Baquedano-Aguilar, Arturo Bretas, Sean Meyn

“…Corrective actions are modeled through a mixed integer linear programming algorithm within system areas established through spectral clustering. …”
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Addressing Due Date and Storage Restrictions in the S-Graph Scheduling Framework by Krisztián Attila Bakon, Tibor Holczinger

“…The framework is further enhanced by integrating linear programming (LP) techniques to adjust machine assignments and operation timings dynamically. …”
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Tutorial on modelling chromatographic surrogation of biological processes by Elisabet Fuguet, Martí Rosés

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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…Tunnel construction, a critical aspect of railway engineering, is a repetitive process with distinct linear characteristics. While the Linear Scheduling Method (LSM) is widely used for scheduling optimization in linear projects, it struggles to accommodate dynamic construction sequences, reverse construction, and flexible team allocation. …”
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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…This paper investigates the effectiveness of integrating explainable machine learning (ML) model and Bayesian generalized linear model (GLM) to enhance both predictive accuracy and uncertainty quantification in Vs prediction. …”
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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…One approach is to use linear inverse modelling and Markov Chain Monte Carlo (LIM-MCMC) techniques to set up an inverse LIM problem using empirical data constraints, and then sample multiple plausible food webs from the inverse problem using an MCMC algorithm. …”
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Finely-Tuned Bis(imino)pyridylcobalt Complexes Enhance Ethylene Polymerization: The Role of Bulky and Halogen Substituents by Elizabeth Ogbe, Yanping Ma, Yizhou Wang, Jiahao Gao, Yang Sun, Wen-Hua Sun

“…More importantly, all resultant polyethylenes were characterized as having vinyl-terminal and high-linear feature along with narrow dispersity; the molecular weights could be adapted in the ranges from 6.4 to 50.0 kg mol⁻¹. …”
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Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a mac... by Ying Zeng, Jing Chen, Shanyue Lin, Haibo Liu, Yingjun Zhou, Xiao Zhou

“…Three machine learning models, a support vector machine model, a random forest model, and a generalized linear model, were then applied to build radiomic models. …”
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CFD and Experimental Comparison for Micro-Pump Performance in Space Applications: A Case Study by Oana Dumitrescu, Cristian Dobromirescu, Valeriu Dragan, Ionut Sebastian Vintila, Radu Mihalache

“…A fast design and evaluation methodology was developed, integrating linear design, 3D fully viscous CFD-based optimization, and rapid prototyping and testing. …”
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Online Charger-Placement Algorithm for Sustainable Energy-Harvesting Wireless Sensor Networks by Ammar M. Gharaibeh, Osamah S. Badarneh, Mustafa K. Alshawaqfeh, Fares S. Almehmadi

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Theoretical and Numerical Research on High-Speed Small Refrigeration Twin-Screw Compressor by Kai Ma, Xiaokun Wu, Huaican Liu, Dantong Li, Zhilong He

“…Computational fluid dynamics (CFD) simulations analyzed the gas forces and torque acting on the rotors. The rate of efficiency improvement with increasing speed follows a non-linear relationship, demonstrating diminishing returns at ultra-high speeds, where further speed elevation provides negligible efficiency gains. …”
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A Fast Static Voltage Stability Contingency Screening and Ranking Method Considering Source-Load Power Fluctuation by Yaning WU, Yi LUO, Shengcun ZHOU, Muyi TANG, Xuancheng YI

“…In order to effectively analyze the influence of equipment failure on voltage stability under the random fluctuation of new energy power generation and load, a fast static voltage stability contingency screening and ranking method considering source-load power fluctuation is proposed based on the local voltage stability index (L index). Firstly, the linearized calculation formula of L index under the change of system network topology and node injection power is given based on the related total differential equation deduced; secondly, the reference operation mode is selected for power flow calculation to obtain the initial value, and a linearized method with correction is proposed to calculate the L index under each expected accident to obtain the serious fault set; and then, based on the deviation of the renewable energy and load power curve value from the benchmark operating point, the L index in the serious fault set is calculated and the time-series ranking is performed; finally, the ultimate contingency ranking is obtained by comprehensively comparing the time-series analysis results. …”
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Quantifying the impact of surgical teams on each stage of the operating room process by Adam Meyers, Mertcan Daysalilar, Arman Dagal, Arman Dagal, Michael Wang, Onur Kutlu, Mehmet Akcin, Mehmet Akcin

“…IntroductionOperating room (OR) efficiency is a key factor in determining surgical healthcare costs. …”
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