A cutter contacting point trajectory prediction method combining harmonic functions and dimensionality reduction for improving machining precision in flat-end milling by Liangji Chen, Haohao Xu, Huiying Li, Hansong Gao, Haixiong Wang

“…Our approach is integrated into five-axis linear trajectory interpolation, where it quantitatively addresses nonlinear errors that exceed tolerance limits. …”
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Enhancing image quality in circular-view photoacoustic tomography using randomized detection points by Soheil Hakakzadeh, Praveenbalaji Rajendran, Zahra Kavehvash, Manojit Pramanik

“…Circular-view (circular scan) photoacoustic computed tomography (PACT) with low-density detection points (DPs) is an efficient, high-speed, and inexpensive modality with numerous (pre-) clinical applications. …”
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Membrane Assisted Simultaneous Extraction and Derivatization with Triphenylphosphine of Elemental Sulfur in Arabian Crude Samples by Gas Chromatography/Mass Spectrometry by Ibrahim Al-Zahrani, Munzir H. Aneel Mohammed, Chanbasha Basheer, Mohammad Nahid Siddiqui, Abdulrahman Al-Arfaj

“…Recently, several gas chromatographic methods were reported in which selective triphenylphosphine derivatization of sulfur was used to form triphenylphosphine sulfide. Direct quantitation of elemental sulfur from crude oil requires an efficient sample preparation method. …”
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Cellular Automaton Simulation Model for Predicting the Microstructure Evolution of an Additively Manufactured X30Mn21 Austenitic Advanced High-Strength Steel by Ashutosh Singh, Christian Haase, Luis A. Barrales-Mora

“…Furthermore, the computational efficiency was critically evaluated.…”
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Numerical Simulation on the Influence of Rotating Speed on the Hydraulic Loss Characteristics of Desalination Energy Recovery Turbine by Bing Qi, Desheng Zhang, Qi Zhang, Mengcheng Wang, Ibra Fall

“…The results show that the efficiency is 2.2% higher than that at the design speed when turbine runs at n = 22000 r/min. …”
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Precision in 3D: A Fast and Accurate Algorithm for Reproducible Motoneuron Structure and Protein Expression Analysis by Morgan Highlander, Shelby Ward, Bradley LeHoty, Teresa Garrett, Sherif Elbasiouny

“…From these reconstructions, it measures 3D soma volume and efficiently quantitates net somatic protein expression and macro-cluster size. …”
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Impedance-based sensitivity analysis for enhanced dynamic stability in DC off-grid hydrogen production systems by Chenguang Zhang, Zhongjian Kang, Bin Li, Hongyang Zhang, Di Zhu

“…DC off-grid hydrogen production systems, employing source–hydrogen interface converters to achieve efficient renewable energy conversion and electrolysis coupling, represent a core technological solution for green hydrogen generation. …”
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Screening Decommissioned Oil and Gas Pipeline Cleaners Using Big Data Analytics Methods by Rongguang Li, Junqi Zhao, Ling Sun, Long Jin, Sixun Chen, Lihui Zheng

“…They also lack the ability to quantitatively analyze the impact of multiple variables. …”
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Ultrathin (<10 nm) Electrochemical Random‐Access Memory that Overcomes the Tradeoff between Robust Weight Update and Speed in Neuromorphic Systems by Seonuk Jeon, Seokjae Lim, Nir Tessler, Jiyong Woo

“…A numerical analysis based on device scaling quantitatively reveals that a relatively high concentration of field‐driven Cu ions (≈1020 cm−3) contributes to each synaptic weight update per gate voltage (VG) pulse in the UT‐ECRAM without becoming deactivated by traversing thicker layers. …”
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Properties and sensory acceptability of creatine-fortified foods using ultra-micronized creatine monohydrate – the KREAFOOD Project by Julián Quintero-Quiroz, Sebastian Botero-Ramirez, Simon Jaramillo-Caro, Natalia Zuluaga, Diego A. Bonilla

“…For the solid food, 35 g of the KreaFood pancake premix (containing 10% creatine) was dissolved in 60 mL of milk and then cooked over low heat for one minute on each side or until golden brown. Quantitative descriptive sensory testing was performed on the KreaFood products using a double-blind panel of 15 trained evaluators. …”
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Federated Learning-Driven IoT Request Scheduling for Fault Tolerance in Cloud Data Centers by Sheeja Rani S, Raafat Aburukba

“…This approach improves resource awareness and fault tolerance in scheduling. The quantitatively analyzed results show that the MRKFL-FTS technique achieved an 8% improvement in task scheduling efficiency and fault prediction accuracy, a 36% improvement in throughput, and a 14% reduction in makespan and time complexity. …”
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On Novel RIP of Windowed Compressed Spectrum Sensing by Huiguang Zhang, Baoguo Liu, Wei Feng

“…By integrating these metrics, we formulate a dual-effects framework that quantitatively characterizes the inherent trade-offs between the accuracy of spectral analysis and the fidelity of signal reconstruction. …”
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Research on deep learning-based fracture network inversion method for shale gas reservoirs by CHEN Weiming, JIANG Lin, LUO Tongtong, LI Yue, WANG Jianhua

“…There is an urgent need for a new method that is economically efficient in obtaining fracture network parameters. …”
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Experimental and numerical investigation of suddenly expanded flow at sonic mach number by Ambareen Khan, Parvathy Rajendran, Sher Afghan Khan, Mamdooh Alwetaishi, It Ee Lee

“…The most efficient rib shape is a rectangular one with a diameter of 10 mm and an area ratio of 3.61. …”
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Rationale for granulometric medium characteristics under vibration processing of parts with small grooves and holes by M. A. Tamarkin, E. N. Kolganova, M. A. Yagmurov

“…The design technique for a highly efficient technological process of vibration finishing of parts with small grooves and holes is presented. …”
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Can Autonomous Vehicles Save Fuel? Findings from Field Experiments by Licheng Zhang, Ting Zhang, Kun Peng, Xiangmo Zhao, Zhigang Xu

“…The majority of the more recent studies have mainly focused on how to achieve energy-efficient goals by optimizing the driving behavior for human-driven vehicles or designing trajectory planning and tacking algorithms for autonomous vehicles. …”
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Purification of Urban Sewage River Using a Biological Aerated Filter with Sponge Iron and Ceramsite Mixed Fillers by Yi Wu, Jun Dai, Qiong Wan, Guobin Tian, Dongyang Wei

“…The removal efficiency experiments were carried out through the self-designed biological aerated filter (BAF) reactor with sponge iron and ceramsite mixed fillers, and the microorganisms attached to the surface of the biological fillers were qualitatively and quantitatively identified through 16S rDNA. …”
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Modeling Political Discourse in Indonesia’s 2024 Election Using Unsupervised Machine Learning by Malikhatul Ibriza, Maya Rini Handayani, Wenty Dwi Yuniarti, Khothibul Umam

“…The 2024 General Election in Indonesia has generated a large volume of diverse and unstructured digital political discourse, necessitating a machine learning-based analytical approach for efficient, objective, and scalable data processing. …”
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A Conceptual Framework for a Latest Information-Maintaining Method Using Retrieval-Augmented Generation and a Large Language Model in Smart Manufacturing: Theoretical Approach and... by Hangseo Choi, Jongpil Jeong

“…The proposed framework design uses a data stream processing layer, a data integration layer, and a continuous learning layer as core components; in particular, the knowledge integration layer provides a mechanism for the efficient processing of real-time data and continuous learning. …”
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Research on Fault Diagnosis Method for Marine Diesel Engines Based on Multi-Scale Attention Mechanism Transformer by Manyi Chen, Huibing Gan, Hangjie Wu

“…In modern intelligent shipping, ensuring the stable and reliable technical condition of marine diesel engines is critical for safe and efficient vessel operations. Conventional fault diagnosis approaches and many existing Transformer-based methods often focus on single-scale features, potentially overlooking subtle fault indicators and reducing diagnostic accuracy under complex working conditions. …”
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