Non-Linear Control and Numerical Analysis Applied in a Non-Linear Model of Cutting Process Subject to Non-Ideal Excitations by Angelo M. Tusset, Jonierson A. Cruz, Jose M. Balthazar, Maria E. K. Fuziki, Giane G. Lenzi

“…This work presents a non-linear mathematical model of a machining system subjected to a non-ideal vibration source. Computer simulations have shown chaotic behavior for specific parameters of the proposed mathematical model. …”
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A Review of Needle Navigation Technologies in Minimally Invasive Cardiovascular Surgeries—Toward a More Effective and Easy-to-Apply Process by Katharina Steeg, Gabriele Anja Krombach, Michael Horst Friebe

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Crucial heat damage analysis and optimization of a mid-sized pickup truck based on a deep Gaussian process model by Zebin Zhang, Sisi Liu, Xianzong Meng, Tingting Wang, Shizhao Jing, Chuanrui Wang, Dongchen Qin

“…Based on simulation results, a multi-objective two-layer deep Gaussian process model predicted heat source temperatures. …”
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Comparative analysis of analytical hierarchy process (AHP) and frequency ratio (FR) models for landslide susceptibility mapping in Reshun, NW Pakistan by Mukhtar S. Ahmad, MonaLisa, Saad Khan

“…Using the AHP and FR methods, the historical landslides were linked to the causing factors to compute their importance on landslide susceptibility. …”
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Increasing the Classification Achievement of Steel Surface Defects by Applying a Specific Deep Strategy and a New Image Processing Approach by Fatih Demir, Koray Sener Parlak

“…Thus, in this study, we proposed a novel deep learning-based flaw detection system with an industrial focus on automated steel surface defect identification. To create processed images from raw steel surface images, a novel method was applied. …”
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Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…Unlike prior studies that focused on smooth or unnotched geometries, the present study explores how varying notch parameters influence the fluid–solid coupling process during high-speed water entry. The reliability and accuracy of the computational method are validated through grid independence verification and comparisons with experimental data and empirical formulas. …”
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A new approach for processing defect-free hot-work tool steels: Quasi-isothermal laser powder bed fusion by Ulf Ziesing, Leon Engelhardt, Santiago Benito, Martin Reuber, Tobias Schwanekamp, Sebastian Weber, Jonathan Lentz

“…Powder-Bed-Fusion Laser-Beam/Metal (PBF-LB/M) enables the production of complex geometries with high design freedom. However, processing martensitic tool steels by Additive Manufacturing (AM) is challenging due to the risk of cold cracking during martensitic transformation. …”
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Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production by Axel Curcio, Sylvain Rodat, Valéry Vuillerme, Stéphane Abanades

“…The feasibility of dynamic control of a solar-autothermal biomass gasifier was successfully demonstrated for the determination of annual process performance with reasonable computational costs, paving the way to stable and controllable solar gasification process operation.…”
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Exploring Zinc C295 as a Dual HIV-1 Integrase Inhibitor: From Strand Transfer to 3′-Processing Suppression by Sharif Karim Sayyed, Marzuqa Quraishi, D. S. Prabakaran, Balaji Chandrasekaran, Thiyagarajan Ramesh, Satish Kumar Rajasekharan, Chaitany Jayprakash Raorane, Tareeka Sonawane, Vinothkannan Ravichandran

“…This study explores its potential to also inhibit 3′-processing (3′P), thereby establishing its dual-targeting capability. …”
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A Hybrid Fault Detection Method of Independent Component Analysis and Auto-Associative Kernel Regression for Process Monitoring in Power Plant by Seunghwan Jung, Jonggeun Kim, Sungshin Kim

“…In complex industrial processes, distributed control systems (DCSs) are currently operated to prevent unplanned shutdowns and major accidents. …”
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Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process by Guoshan YANG, Jie ZHU, Wenqin SONG, Yiwei QIU, Buxiang ZHOU

“…Second, considering the coupling of the stochastic process of wind power output and the adjustment inertia of the ammonia synthesis section, the Itô process is used to model the stochastic process of wind power output, and a stochastic dynamics-constrained optimal control model of the P2A system is constructed. …”
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rcprd: An R package to simplify the extraction and processing of Clinical Practice Research Datalink (CPRD) data, and create analysis-ready datasets. by Alexander Pate, Rosa Parisi, Evangelos Kontopantelis, Matthew Sperrin

“…Extraction and management of CPRD data is a computationally demanding process and requires a significant amount of work, in particular when using R. …”
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Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing by Bernis Sütçübaşı, Tuğçe Ballı, Barış Metin, Emine Elif Tülay

“…The comparable performance of individual features to that of the combined feature sets indicates their strength as indicators of emotional processing in MDD. These findings provide valuable insights into the development of more reliable diagnostic tools and treatment monitoring strategies that focus on emotional processing in MDD.…”
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Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process by Ling Zhou, Jingchao Sun, Yanjun Zhang, Yunjuan Chen, Honglei Lei

“…In this study, an innovative combination of numerical simulation, PSO-GA-BPNN model, and Analytic Hierarchy Process was proposed to establish an EGS comprehensive optimization method, effectively improving the accuracy and computational efficiency of scheme optimization. …”
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Matrix Modeling of the Selection of Electric Generators for Home Use Based on the Analytical Hierarchical Process (AHP) Algorithm in War Conditions in Ukraine by Barbara Dybek, Igor Ilge, Serhiy Zaporozhtsev, Adam Koniuszy, Grzegorz Wałowski

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Defining quantum-ready primitives for hybrid HPC-QC supercomputing: a case study in Hamiltonian simulation by Andrea Delgado, Prasanna Date

“…To this end, we systematically break down the Hamiltonian simulation process into discrete computational phases, highlighting specific primitives that could be effectively offloaded to quantum processors for improved efficiency. …”
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The Model-Driven Design Integration Framework (MDDIF): Introduction to an Optimized Product Development Process and a Design for Manufacturing Case Study by Clara A. Ramirez, Ravi Gorthala, Amy E. Thompson

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Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA): Business Process Model Automation in an Industry 4.0 Laboratory by Marco Nardello, Shengnan Han, Charles Møller, John Gøtze

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Mechanical behavior of baghdadite-polycaprolactone-graphene nanocomposite for optimization of the bone treatment process in medical applications using molecular dynamics simulation by Behrooz Ruhani, Ali Basem, Haydar A.S. Aljaafari, Zahraa A. Hanoon, Shams Dheyaa Jumaah, Soheil Salahshour, Nafiseh Emami

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5G Fronthaul in Modular P4: eCPRI Protocol Processing and Precise BMv2 Timestamps for PTP-1588 by Atabak Nojavan, Bill Pontikakis, Francois-Raymond Boyer, Yvon Savaria

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