Enhancing Sea Ice Concentration Resolution in a Northern Sea Route Strait Using a Generative Adversarial Network by M. L. Rocha, A. H. Lynch, K. J. Bergen

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Study on the mutual interference and propagation characteristics of three-dimensional vibration during shield tunnel construction in hard rock strata by You Wang, Tian-ya Gao, Rui Wang, Bo-song Ding, Yue Ma

“…The arrival time of the vibration wave at the monitoring point is later after the shield machine passes.6)For vibrations at different locations of the same pile foundation, the vibration speed at the same depth near the tunnel center is the highest. …”
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Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models by A. Yousefi, k. movagharnejad

“…Molecular weight, melting point, temperature and the number of each functional group in the pharmaceutical compound and organic solvents were selected as the input variables of these three different neural network models. …”
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

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A Mean Weighted Squared Error-based Neural Classifier for Intelligent Pattern Recognition in Smart Grids by Mehdi Khashei, Mehrnaz Ahmadi, Fatemeh Chahkoutahi

“…In the proposed MWSE, unequal weights are assigned to each estimated data point, unlike the conventional version. In this paper, Multilayer Perceptron Neural Networks (MLPs) are employed to implement the proposed MWSE loss function. …”
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Million‐Atom Simulation of the Set Process in Phase Change Memories at the Real Device Scale by Omar Abou El Kheir, Marco Bernasconi

“…Over the last decade, atomistic simulations based on density functional theory (DFT) have provided crucial insights on the early stage of this process. …”
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NCoder—a quantum field theory approach to encoding data by D S Berman, M S Klinger, A G Stapleton

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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

“…In today’s information-driven era, machine learning is revolutionizing medicinal chemistry, offering a paradigm shift from traditional, intuition-based, and often bias-prone methods to the prediction of chemical properties without prior knowledge of the basic principles governing drug function. …”
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Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery by John Waczak, David J. Lary

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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population by Xianli Qiu, Yong Han, Changchun Cao, Yuheng Liao, Haofei Hu

“…To address the natural relationships between the atherogenicity indices and risk of prediabetes, we applied Cox proportional hazards regression with cubic spline functions and smooth curve fitting, using a recursive algorithm to calculate inflection points. …”
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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…The algorithm is used to determine the optimal policy by treating each raster as a state, the 26 possible directions as action sets, and the action value function as the objective function. When studying the results of the conducted experiment, it was found that after 160 experiments, thanks to the use of the RL gradient method, it was possible to determine the path from the starting point to the final point and successfully overcome all obstacles within a 84 seconds time period. …”
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ANALYSIS TECHNIQUE REFINEMENT OF SPINDLE HEAD VIBRATION OF MILLING AND DRILLING WOODWORKERS by Valery Anatolyevich Romanov, Alexander Nikolayevich Chukarin, Mikhail Bensionovich Flek

“…Considering the design features and geometrics of the machining tool, linear and point sources are accepted as an acoustic radiator model. …”
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Research on Multimodal Control Method for Prosthetic Hands Based on Visuo-Tactile and Arm Motion Measurement by Jianwei Cui, Bingyan Yan

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An industrial carbon block instance segmentation algorithm based on improved YOLOv8 by Runjie Shi, Zhengbao Li, Zewei Wu, Wenxin Zhang, Yihang Xu, Gan Luo, Pingchuan Ma, Zheng Zhang

“…Abstract Automatic cleaning of carbon blocks based on machine vision is currently an important aspect of industrial intelligent applications. …”
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Clinical impacts of total parenteral nutrition in hematopoietic stem cell transplantation patients with high nutritional risk by Le Yang, Di Wu, Junting Dai, Huiyi Lv, Miao Li

“…Based on the Nutrition Risk Screening-2002 (NRS-2002) and propensity score matching, 70 patients were assigned to the control group (without parenteral nutrition) and 70 to the enhanced nutrition group (with parenteral nutrition) between 2012 and 2022. …”
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Higher‐order modular regulation of the human proteome by Georg Kustatscher, Martina Hödl, Edward Rullmann, Piotr Grabowski, Emmanuel Fiagbedzi, Anja Groth, Juri Rappsilber

“…Here, we capture 31 higher‐order co‐regulation modules, which we term progulons, by help of supervised machine‐learning on proteomics data. Progulons consist of dozens to hundreds of proteins that together mediate core cellular functions. …”
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Exploring voice as a digital phenotype in adults with ADHD by Georg G. von Polier, Eike Ahlers, Julia Volkening, Jörg Langner, Kaustubh R. Patil, Simon B. Eickhoff, Florian Helmhold, Agnieszka Ewa Krautz, Daina Langner

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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…The Adam optimizer and non-linear sigmoid activation function were employed. The best ANN model included four hidden layers and 448 neurons. …”
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An Event-Related Potential Study on Facial Recognition in Children with and without Autism Spectrum Disorders by Deng JR, Tong M, Zhang XT, Lin ZP, Wang Z, Long J, Chen ZM

“…Given the link between facial recognition and social impairments, the core symptom of autism, it is also necessary to study the correlation between the P1 and N170 components and the severity of social functioning in autism.Patients and Methods: In this study, autism and age-matched typically developing children were asked to examine photographs of faces, objects and butterflies and event-related potentials were recorded. …”
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