Influence of carbon on the rheology and additive manufacturability of Ti-6Al-4V powders by Apratim Chakraborty, Manvinder Lalh, Étienne Martin, Heidar Karimialavijeh, Adam Bejarano, Andrew Wessman, Yu Zou, Mahdi Habibnejad-Korayem

“…Blend quality was assessed chemically and visually via computed tomography and scanning electron microscopy. …”
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High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

“…Abstract Metamaterial design, encompassing both microstructure topology selection and geometric parameter optimization, constitutes a high‐dimensional optimization problem, with computationally expensive and time‐consuming design evaluations. …”
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A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM) by Daan Li, Liming Jiang, Shun Cai, Ronggang Huang, Xi Lu

“…Our approach significantly reduces computational costs and improves efficiency and model generalizability ability. …”
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Expansion of Output Spatial Extent in the Wavenumber Domain Algorithms for Near-Field 3-D MIMO Radar Imaging by Yifan Gong, Limin Zhai, Yan Jia, Yongqing Liu, Xiangkun Zhang

“…Due to the limited computational resources of the miniaturized MIMO microwave camera, real-time processing of a large amount of 3-D echo data requires an imaging algorithm that has both real-time performance and large output spatial extent. …”
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NuSTAR Detection of an Absorption Feature in ESP 39607: Evidence for an Ultrafast Inflow? by Alessandro Peca, Michael J. Koss, Roberto Serafinelli, Claudio Ricci, C. Megan Urry, Giulia Cerini, Peter G. Boorman

“…The feature is detected in both observations with individual significance levels between 2 σ and 3 σ , computed with multiple statistical methods. The combined probability of detecting it in both observations is ≳4 σ . …”
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How to Improve Usability in Open-Source Software Projects? An Analysis of Evaluation Techniques Through a Multiple Case Study by Lucrecia Llerena, John W. Castro, Rosa Llerena, Nancy Rodríguez

“…However, open-source communities still need standardized processes to ensure software quality, and their characteristics make it challenging to adopt many usability techniques from human–computer interaction directly. …”
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Energy-Efficient Deep Learning for Cloud Detection Onboard Nanosatellite by Imane Khalil, Amina Daghouri, Mohammed Alae Chanoui, Zouhair Guennoun, Adnane Addaim

“…However, energy consumption remains a critical consideration for onboard processing, particularly in nanosatellites where resource constraints are significant. …”
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MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration by Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder

“…However, due to its distance-based processing nature, ICP relies on an accurate pose initialization while implicating increased computational complexity with a growing number of points. …”
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ReScConv-xLSTM: An improved xLSTM model with spatiotemporal feature extraction capability for remaining useful life prediction of Aero-engine by Mingxing Huang, Lanying Yang, Gang Jiang, Xingan Hao, Hong Lu, Hang Luo, Peng Wang, Jinyang Li

“…Although deep learning models based on LSTM and Transformer have achieved significant results in this field, these models typically only extract temporal features, neglecting spatial features, and struggle with parallel computation, leading to a bottleneck in RUL prediction performance. …”
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Investigation of double-diffusive mixed convective flow of water-based Brinkman-type hybrid nanofluid utilizing a fractal fractional approach by Ahmed M. Galal, Ali Raza, Umair Khan, Aurang Zaib, Anuar Ishak, Hami Gündoğdu, B. Alshahrani, Mona Mahmoud

“…Nanofluids play a crucial role in enhancing the thermal performance of various engineering and industrial applications, particularly in manufacturing and chemical processes. Similarly, porous materials are essential in chemical engineering and plasma physics, contributing to advancements in heat and mass transfer. …”
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Improving Railway Track Detection With a Mixed-Modality Deep Learning Approach by Wichian Ooppakaew, Jakkrit Onshaunjit, Saifun Khrueakhrai, Jakkree Srinonchat

“…Despite the increased computational parameters, the improved models paradoxically enable quicker processing across all models.…”
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Day–Night Energy-Constrained Path Planning for Stratospheric Airships: A Hybrid Level-Set Particle Swarm Optimization (LS-PSO) Framework in Dynamic Flows by Cheng Liu, Xiang Li, Jinggang Miao, Yu Feng, Chunjiang Bian

“…Finally, with the optimal velocity sequence, the optimal path is generated once by the Level Set backtrack processing. To validate the resulting methodology, we used a benchmark case of a dynamic complex four-gyre flow, described by mathematical formulas, with the optimal day–night path identified by GPOPS-II. …”
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Comparison of aerodynamics of vertical-axis wind turbine with single and combine Darrieus and Savonius rotors by Dmytro Redchyts, Unai Fernandez-Gamiz, Serhii Tarasov, Koldo Portal-Porras, Andrii Tarasov, Svitlana Moiseienko

“…The developed approaches and techniques make it possible to reproduce real aerodynamic processes of flow most reliably around bodies of arbitrary shape and calculate their aerodynamic characteristics.…”
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Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial Prospects by Tong Wu, Jiawei Zhang, Qinghao Yan, Jingxiang Wang, Hao Yang

“…This review underscores ML’s transformative capacity to bridge computational insights with experimental validation, fostering next-generation membranes for carbon neutrality, water security, and energy-efficient industrial processes.…”
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Investigating banks’ social media content and consumer reactions with machine learning by Gombos Nóra, Julianna, Vlaszov Artúr, Bíró-Szigeti Szilvia, Molontay Roland

“…Design/methodology/approach: – Text and image analysis of the Twitter accounts available to the public was performed using different natural language processing methods (topic analysis, sentiment analysis), computer vision techniques (object detection, optical character recognition, image captioning), and statistical and machine learning models (linear and logistic regression, Catboost). …”
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Designing a sustainable and resilient agri-food closed-loop supply chain network for porcine products by Álvaro Ronaldo Elizalde Camacho, Fatemeh Gholian-Jouybari, Behzad Mosallanezhad, Neale R. Smith, Mostafa Hajiaghaei-Keshteli

“…The network encompasses production, processing, distribution, and waste management activities, ensuring alignment with circular economy principles and sustainable development goals. …”
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Identification and Biological Evaluation of a Novel CLK4 Inhibitor Targeting Alternative Splicing in Pancreatic Cancer Using Structure‐Based Virtual Screening by Chun‐Lin Yang, Yi‐Wen Wu, Huang‐Ju Tu, Yun‐Hsuan Yeh, Tony Eight Lin, Tzu‐Ying Sung, Mu‐Chun Li, Shih‐Chung Yen, Jui‐Hua Hsieh, Ming‐Chin Yu, Sen‐Yung Hsieh, Hsing‐Pang Hsieh, Shiow‐Lin Pan, Kai‐Cheng Hsu

“…In this study, we established a computational model that integrates pharmacological interactions of CLK4 inhibitors with an improved hit rate. …”
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Chaotic demonstration of the twin-core couplers with Kerr law non-linearity employing beta derivative by Adil Jhangeer, Maham Munawar, Mudassar Imran, Atef Abdelkader

“…The sensitivity evaluation underscores the system’s response to perturbations, offering valuable implications for the design and optimization of optical communication systems, signal processing, and photonic device engineering.…”
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¹⁸F-FDG PET/CT in the Diagnosis of Cervical Cancer by A. V. Leontyev, M. M. Khodzhibekova, A. I. Khalimon, M. T. Kuliev, G. F. Khamadeeva, T. L. Antonevskaya, T. N. Lazutina, A. D. Kaprin

“…Positron emission tomography coupled with computed tomography (PET/CT) has proven to be highly informative in the diagnosis of various malignant tumours. …”
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MicroRNA-214 Suppresses Osteogenic Differentiation of Human Periodontal Ligament Stem Cells by Targeting ATF4 by Siqi Yao, Wei Zhao, Qianmin Ou, Lanchen Liang, Xuefeng Lin, Yan Wang

“…Approximately 60% of mammalian genes are the targets of over 2000 miRNAs in multiple human cell types, and miRNAs are able to influence various biological processes in the human body, including bone formation. …”
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