Accelerated discovery and testing of Fe–Co–Cr–Ni–Mo ferrous medium-entropy alloys: advanced in-situ alloying via direct energy deposition by Jae Heung Lee, Ji Yeong Lee, Bon Woo Koo, Dae-Kyeom Kim, Jungwan Lee, Eun Seong Kim, Hyojeong Ha, Taek-Soo Kim, Hyoung Seop Kim

“…Traditional trial-and-error alloy design methods have reached their limitations due to the growing complexity of alloy systems such as high-entropy alloys (HEAs). …”
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Exploration of linear and interpretable models for quantification of cell parameters via contactless short-wave infrared hyperspectral sensing by Anjana Hevaganinge, Eva Lowenstein, Anna Filatova, Mihir Modak, Nandi Thales Mogo, Bryana Rowley, Jenny Yarmowsky, Joshua Ehizibolo, Ravidu Hevaganinge, Amy Musser, Abbey Kim, Anthony Neri, Jessica Conway, Yiding Yuan, Maurizio Cattaneo, Sui Seng Tee, Yang Tao

“…Further, most practitioners find it difficult to confidently adapt black box chemometric models that are difficult to troubleshoot in high-stakes applications such as biopharmaceutical manufacturing. …”
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More is not always better: delta-downscaling climate model outputs from 30 to 5 min resolution has minimal impact on coherence with Late Quaternary proxies by L. Timbrell, L. Timbrell, J. Blinkhorn, J. Blinkhorn, M. Colucci, M. Colucci, M. Leonardi, M. Leonardi, M. Chevalier, A. V. Pozzi, M. Grove, E. Scerri, E. Scerri, E. Scerri, A. Manica

“…Optimal spatial resolution is therefore likely to be highly dependent on specific research contexts and questions, with careful consideration required regarding the trade-off between highlighting local-scale variations and increasing potential error via unreliable interpolation.</p>…”
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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

“…Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical and sports applications. One possible approach is using a sparse inertial sensor setup, where sensors are not placed on all relevant body segments. …”
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Improved Photosynthetic Accumulation Models for Biomass Estimation of Soybean and Cotton Using Vegetation Indices and Canopy Height by Jinglong Liu, Jordi J. Mallorqui, Albert Aguasca, Xavier Fàbregas, Antoni Broquetas, Jordi Llop, Mireia Mas, Feng Zhao, Yanan Wang

“…To further enhance the model performance and evaluate its applicability across different crop types, an improved PAM model (IPAM) is proposed with three strategies. …”
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A comparison of frequentist and Bayesian approaches to the Personalised Randomised Controlled Trial (PRACTical)—design and analysis considerations by Holly Jackson, Yiyun Shou, Nur Amira Binte Mohamed Azad, Jing Wen Chua, Rebecca Lynn Perez, Xinru Wang, Marlieke E. A. de Kraker, Yin Mo

“…The performance measures were: probability of predicting the true best treatment, and novel proxy variables for power (probability of interval separation) and type I error (probability of incorrect interval separation). …”
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Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product by Nadia Ouaadi, Abdelghani Chehbouni, Emna Ayari, Bouchra Ait Hssaine, Jamal ElFarkh, Michel Le Page, Salah Er-Raki, Aaron Boone

“…This is of prime relevance for agricultural applications requiring very high-resolution estimation at plot scale, such as crop yield, irrigation and fertilizer management, as well as for the assessment of inter-plot variability.…”
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Development of low-cost handheld soil moisture sensor for farmers and citizen scientists by Siddhesh Mane, Gurjeet Singh, Narendra N. Das, Narendra N. Das, Anant Kanungo, Nishit Nagpal, Michael Cosh, Younsuk Dong

“…In recent years, the emergence of sensor technologies has highlighted the key role of in situ soil moisture measurement in various hydrological, agricultural, and ecological applications. However, the widespread adoption of technology is hindered by the costs and accessibility of existing sensor devices. …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…This methodology includes an adaptive ellipse density-based spatial clustering of applications with noise (AE-DBSCAN) algorithm for ICESat-2 data extraction, which surpasses standard DBSCAN in terms of accuracy. …”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…In a second step, the applicability of SVM with best input combination is investigated in intervals of different parameters based on hydraulic and sediment properties. 2-Materials and Methods In this study, 966 data points from 20 gravel-bed rivers located in USA were used to predict the bed load transport rate. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…By optimizing the mean squared error between the predicted and actual heatmaps, we can effectively identify the affected paralysis areas. …”
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Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

“…Abstract Refractory High-Entropy Alloys (RHEAs), such as NbMoTaW, MoNbTaVW, HfNbTaZr, Re0.1Hf0.25NbTaW0.4, Nb40Ti25Al15V10Ta5Hf3W2, Ti x NbMoTaW (x = 0, 0.25, 0.5, 0.75 and 1), and 3d transition metal HEAs such as Al10.3Co17Cr7.5Fe9Ni48.6Ti5.8Ta0.6Mo0.8W0.4 have demonstrated superior performance compared to traditional superalloys, particularly in high-temperature applications for engine components. However, the development of these alloys often depends on critical raw materials (CRMs) such as Ta, W, Nb, Hf, and others. …”
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Positioning control of DC servomotor-based antenna using PID tuned compensator by Eze P. C., Ugoh C. A., Inaibo D. S.

“…Direct current (DC) servomotor-based parabolic antenna is automatically positioned using control technique to track satellite by maintaining the desired line of sight for quality transmission and reception of electromagnetic wave signals in telecommunication and broadcast applications. With several techniques proposed in the literature for parabolic antenna position control, there is still a need to improve the tracking error and robustness of the control system in the presence of disturbance. …”
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Hybrid LSTM–Transformer Architecture with Multi-Scale Feature Fusion for High-Accuracy Gold Futures Price Forecasting by Yali Zhao, Yingying Guo, Xuecheng Wang

“…It also provides an interpretable hybrid framework for derivative pricing intelligence. Future applications could leverage high-frequency data sharing and cross-market risk contagion models to enhance China’s influence in global gold pricing governance.…”
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Multi-physics ensemble modelling of Arctic tundra snowpack properties by G. J. Woolley, N. Rutter, L. Wake, V. Vionnet, C. Derksen, R. Essery, P. Marsh, R. Tutton, B. Walker, M. Lafaysse, D. Pritchard

“…Selecting these process representations in Arctic SVS2-Crocus will improve simulation of snow density profiles, which is crucial for many applications.</p>…”
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Lymphoblastoid and Jurkat cell lines are useful surrogate in developing a CRISPR-Cas9 method to correct leukocyte adhesion deficiency genomic defect by Ahmad R. Ramadan, Ahmad R. Ramadan, Noureddine Ben Khalaf, Khaled Trabelsi, Halla Bakheit, Imen Ben-Mustapha, Imen Ben-Mustapha, Mohamed-Ridha Barbouche, M-Dahmani Fathallah

“…Introduction: Leukocyte adhesion deficiency type 1 (LAD1) is a severe inborn error of immunity caused by mutations in the ITGB2 gene, which encodes the beta-2 integrin subunit (CD18). …”
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Research on atmospheric temperature fine measurements from the near surface to 60&thinsp;km altitude based on an integrated lidar system by Z. Wang, T. Guo, T. Guo, X. Li, X. Li, C. Chen, D. Liu, L. Qu, H. Li, H. Li, X. Wang

“…This integrated lidar system serves as a critical tool for achieving continuous atmospheric measurement across multiple layers, contributing significantly to atmospheric science and remote sensing applications.</p>…”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

“…<p>Advancements in scientific inquiry and practical applications have created a higher demand for the accuracy of global digital elevation models (GDEMs), especially for GDEMs whose main data source is optical imagery. …”
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Lateral Bearing Characteristics of Bucket Foundation Breakwaters in Soft Soil of Port Areas by WANG Shuai, ZHANG Jia-lin, HU Shao-wei, YOU Jian-hua, YANG Yu-ming

“…The goal is to improve computational theories of bucket foundation breakwaters and support their engineering design and applications. [Methods] Based on the actual structural configurations, a 1∶20 large-scale test model was designed, along with a foundation bed model simulating the sandy soil conditions of port areas, to simulate the service performance of bucket foundation breakwaters. …”
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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

“…Accurate thermospheric mass density (TMD) prediction is critical for applications in solar-terrestrial physics, spacecraft safety, and remote sensing systems. …”
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