Digital identification and adulteration analysis of Codonopsis Radix and Stellariae Radix based on the “digital identity” of chemical compositions by Xianrui Wang, Jiating Zhang, Wenguang Jing, Xiaohan Guo, Minghua Li, Xianlong Cheng, Feng Wei

“…Then, the data matrices of unique ions of CR relative to SR and SR relative to CR were screened out, and the top-N ions were outputted as the “digital identities” of CR and SR, sorted by ionic strength. …”
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Disordered-guiding photonic chip enabled high-dimensional light field detection by Zhijuan Gu, Weilun Zhang, Yu Yu, Xinliang Zhang

“…The disordered region introduces complex interference and scattering among polarized components, while the guiding region efficiently collects the outputs to on-chip photodetectors. …”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

“…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
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A Research on the Relationship of Social Intelligence and Cultural Intelligence with Leadership Styles by Serap Yalçınyigit, Hakkı Aktaş

“…The research provides guiding outputs for future research and business reflections.…”
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Investigation of Engine Lubrication Oil Quality Using a Support Vector Machine and Electronic Nose by Ali Adelkhani, Ehsan Daneshkhah

“…Monitoring the quality of engine oil improves engine efficiency and reduces engine maintenance costs. Several methods have been proposed for this purpose; however, most of them take too long to test oil quality. …”
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Machine Learning-Based Expression Generation Technology for Virtual Characters in Film and Television Art by Yi Zhang, Junting Qian

“…Further, the expressions are integrated with the speech synthesis process to enhance the overall frame expression generation efficiency. The system uses the MEAD dataset to evaluate the system efficiency, in which the model attains 99.1% expression generation accuracy, which is a 5.7% improvement compared to the MFA methods. …”
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Abstractive Text Summarization to Generate Indonesian News Highlight Using Transformers Model by I Gusti Agung Intan Utami Putri, I Nyoman Prayana Trisna, Ni Kadek Dwi Rusjayanthi

“…Meanwhile, mBART achieved a higher BERT-Score Precision (0.86717) but tended to generate less informative outputs. The findings of this research are expected to aid in enhancing the coherence and efficiency of abstractive summarization systems.…”
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Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

“…Thus, the aim of the present research is to find the variables affecting community-based tourism in the target villages of Markazi Province. The method of conducting this research was qualitative and was done using the content analysis method, and the data was analyzed using MAXQDA version 20 software. …”
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Adaptive Stylized Image Generation for Traditional Miao Batik Using Style-Conditioned LCM-LoRA Enhanced Diffusion Models by Qingqing Hu, Yiran Peng, Jing Xu, Zichun Shao, Zhen Tian, Junming Chen

“…Extensive quantitative evaluations using LPIPS, SSIM, PSNR, FID metrics, and human evaluations show that the proposed Batik-MPDM framework achieves superior performance in terms of style fidelity and generation efficiency compared to baseline methods.…”
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A machine learning-based prediction-to-map framework for rapid and accurate spatial flood prediction by Daoyang Bao, Z. George Xue, Matthew Hiatt, Kehui Xu, Courtney K. Harris, Jill C. Trepanier

“…To address these limitations, we developed a Prediction-to-Map (P2M) framework that combines the strengths of both methods. Trained on observed data and numerical model outputs, P2M delivers rapid, accurate spatial flood predictions. …”
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Figuring Out Gas and Galaxies In Enzo (FOGGIE). VIII. Complex and Stochastic Metallicity Gradients at z > 2 by Ayan Acharyya, Molly S. Peeples, Jason Tumlinson, Brian W. O’Shea, Cassandra Lochhaas, Anna C. Wright, Raymond C. Simons, Ramona Augustin, Britton D. Smith, Eugene Hyeonmin Lee

“…We investigate how efficiently nonparametric measures of the 2D metallicity distribution respond to metal production and mixing. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…The method incorporates an innovative use of the neural network-based variance estimation (NNVE) technique to efficiently calculate the standard deviation of the objective functions. …”
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A distance-aware approach for reliable out-of-distribution detection of wind turbine gearbox fault diagnosis by Jingxin Zhou, Yao Zhao

“…To address this, we introduce Spectral Normalization and Gaussian Process methods into Res2Net framework to enhance its ability to detect out-of-distribution data. …”
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Self-adaptive spatial-temporal network based on heterogeneous data for air quality prediction by Feng Chang, Liang Ge, Siyu Li, Kunyan Wu, Yaqian Wang

“…A parametric-matrix-based fusion architecture is used to combine the outputs of different components into a joint representation which is used for generating the final prediction results. …”
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Planning and Implementation of Active Leakage Control in the Management of Unreported Leakages by Mahmut Fırat, Mustafa Yıldırım

“…As a result, it is thought that the outputs obtained from this study will constitute an important reference especially for practitioners. …”
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The evolving role of programming and LLMs in the development of self-driving laboratories by John R. Kitchin

“…Claude-Light integrates a REST API, a Raspberry Pi-based control system, and an RGB LED with a photometer that measures ten spectral outputs, providing a controlled but realistic experimental environment. …”
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Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution by Pelle van de Bor, John Brennan, John A. Regan, Jonathan Mackey

“…We construct and train multiple Neural Operator architectures (DeepONet variants) using a dataset derived from cosmological simulations to optimize accuracy and efficiency. Our results demonstrate that the trained models accurately reproduce Grackle's outputs with an average error of less than 0.6 dex in most cases, though deviations increase in highly dynamic chemical environments. …”
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A novel approach to mapping and monitoring land carbon sinks by combining remote sensing and biogeochemical modeling: A case study in Burkina Faso by Mohamed M.M. Ahmed, Egor Prikaziuk, Moritz Laub, Annemarie L. Klaasse, Lucas E. Ellerbroek

“…In the absence of ground-truth data, we compare the outputs from DayCent and ETLook across time and space to build confidence in our estimates. …”
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Controllability and Observability of Heterogeneous Networked Systems With Non-Uniform Node Dimensions and Distinct Inner-Coupling Matrices by Aleena Thomas, Abhijith Ajayakumar, Raju K. George

“…Computational time in floating point operations (flops) of the proposed methods are estimated, which indicates their efficiency on comparison with the classical conditions. …”
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expowo: An R package for mining global plant diversity and distribution data by Débora C. Zuanny, Bruno Vilela, Peter W. Moonlight, Tiina E. Särkinen, Domingos Cardoso

“…To demonstrate expowo's strengths in producing easy‐to‐handle outputs, we also show empirical examples from a set of biodiverse countries and representative species‐rich and ecologically important angiosperm families. …”
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