SinoMedminer: an R package and shiny application for mining and visualizing traditional Chinese medicine herbal formulas by Wenchao Dan, Xinyuan Guo, Guangzhong Zhang, Hui Zhang, Jin Liu, Qiushuang Li, Yang Chen, Qingyong He

“…SinoMedminer combines the computational power of a programming language with user-friendly accessibility, significantly enhancing the efficiency and standardization of TCM data mining research. …”
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Player Experience Evaluation in Game-Based Systems for Older Adults by Johnny Alexander Salazar-Cardona, Bryjeth Ceballos-Cardona, Patricia Paderewski-Rodriguez, Francisco Gutiérrez-Vela, Jeferson Arango-López

“…Therefore, the purpose of this article is to apply a game experience and fun evaluation process oriented toward the older adult population based on the playability theory of human–computer interaction in virtual reality game experiences. …”
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Synthesis, and evaluation of photophysical properties of a potential DPP-derived photosensitizer for photodynamic therapy with D-A-D architecture by Vanessa Escalona Hernández, Itzia Irene Padilla-Martínez, Rosa Angeles Vázquez García, María Aurora Veloz Rodríguez, Oscar Javier Hernández-Ortiz

“…Abstract The study of a macromolecule derived from DPP and triphenylamine, (DPP-BisTPA) by computational chemistry, its synthesis by direct arylation, optical characterization (UV-Vis and fluorescence) and electrochemistry (cyclic voltammetry), as well as its evaluation as a generator of reactive oxygen species indirectly, through the degradation of uric acid. …”
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Improved Low Complexity Predictor for Block-Based Lossless Image Compression by Huang-Chun Hsu, Jian-Jiun Ding, De-Yan Lu

“…As the predictor exploits no inter-block relation, it enables parallel processing and random access if encoded by fix-length coding (FLC).…”
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Small Language Models for Speech Emotion Recognition in Text and Audio Modalities by José L. Gómez-Sirvent, Francisco López de la Rosa, Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero

“…Speech emotion recognition has become increasingly important in a wide range of applications, driven by the development of large transformer-based natural language processing models. However, the large size of these architectures limits their usability, which has led to a growing interest in smaller models. …”
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Enhancing E-Government Services through State-of-the-Art, Modular, and Reproducible Architecture over Large Language Models by George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

“…Integrating Large Language Models (LLMs) into e-government applications has the potential to improve public service delivery through advanced data processing and automation. This paper explores critical aspects of a modular and reproducible architecture based on Retrieval-Augmented Generation (RAG) for deploying LLM-based assistants within e-government systems. …”
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Pseudomyxoma peritonei originating from transverse colon mucinous adenocarcinoma: CT and MRI insights from a rare case by Paola Milillo, MD, PhD, Luca Pio Stoppino, MD, PhD, Gianluca Prencipe, MD, Stefano Piscone, MD, Sara Saccone, MD, Federica Di Lorenzo, MD, Benedetta Di Millo, MD, Giorgia Schiraldi, MD, Roberta Vinci, MD, Luca Macarini, MD

“…Multimodality imaging played a crucial role in the diagnostic process, with computed tomography (CT) providing initial identification of low-attenuation peritoneal lesions with characteristic scalloping of visceral surfaces. …”
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Research Progress on State of Charge Estimation Methods for Power Batteries in New Energy Intelligent Connected Vehicles by Hongzhao Li, Hongsheng Jia, Ping Xiao, Haojie Jiang, Yang Chen

“…This significantly increases the complexity of the estimation process and limits industrial applications. To address these challenges, this study systematically classifies existing SOC estimation algorithms, performs comparative analyses of their computational complexity and accuracy, and identifies the inherent limitations within each category. …”
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Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging by Randy Guzmán Gómez, Guadalupe Lopez Lopez, Victor M. Alvarado, Froylan Lopez Lopez, Eréndira Esqueda Cisneros, Hazel López Moreno

“…We highlight the challenges and opportunities for feasible integration of deep learning computer-based tools in evaluating treatments in lung cancer patients, after which CT and PET-based strategies are contrasted. …”
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IDENTIFICATION OF THE INTERACTION OF LITHIUM HEXAFLUOROPHOSPHATE SALT AND ETHYLENE CARBONATE (EC) SOLVENT IN LITHIUM ION BATTERY REDOX EVENTS USING CLASSICAL MOLECULAR DYNAMICS (MD... by Hubertus Ngaderman, Ego Srivajawaty Sinaga

“…The energy kT and the distance between molecules σ of 1 are inputted to the program in order to facilitate the computer in the simulation process. Solvation events where litium hexafluorophosphate  salt and solvent ethylene carbonate  interact then in the final positions of particles (equilibrium) the result is almost symmetry randomly in all planes. …”
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A deep learning based prediction model for effective elastic properties of porous materials by Chang Liu, Ran Guo, Yangming Su

“…It has been verified that the mechanical properties directly predicted by the network are similar to the actual ones, with high accuracy and computational efficiency.…”
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Identification of novel epilepsy genetics and development of advanced diagnostic approaches by Ramakrishnan Veerabathiran, B.K. Iyshwarya

“…Detailed analyses of each gene process have been conducted better to understand its probable mechanism and relationship to epilepsy. …”
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Optical approaches for neurocritical care: Toward non-invasive recording of cerebral physiology in acute brain injury by Austen T. Lefebvre, Nicole E. Steiner, Carissa L. Rodriguez, Joseph P. Angelo, Eyal Bar-Kochba, Rohan Mathur, Marek Mirski, David W. Blodgett

“…Acute brain injury (ABI) is a complex disease process that begins with an initial insult followed by secondary injury resulting from disturbances in cerebral physiology. …”
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NbN-based Josephson junctions grown by plasma-assisted molecular beam epitaxy by Artur Lachowski, Paweł Wolny, Krzysztof Dybko, Mikołaj Chlipała, Krzesimir Nowakowski-Szkudlarek, Mateusz Hajdel, Mikołaj Żak, Anna Feduniewicz, Marta Sawicka, Witold Chromiński, Ewa Grzanka, Czesław Skierbiszewski

“…Abstract Improved process for the growth of NbN by plasma-assisted molecular beam epitaxy (PAMBE) is needed for the fabrication of Josephson junctions, that are building blocks of qubits in quantum computers. …”
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A low-dimensional recursive deep learning model for El Niño-Southern Oscillation simulation by Jiho Ko, Na-Yeon Shin, Jonghun Kam, Yoo-Geun Ham, Jong-Seong Kug

“…Our findings suggest that this DL model serves as a valuable tool for understanding climate dynamics at a relatively low computational cost, providing an alternative to complex physically-based models.…”
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High-Speed Compressive Microscopy of Flowing Cells Using Sinusoidal Illumination Patterns by Qiang Guo, Hongwei Chen, Yuxi Wang, Yong Guo, Peng Liu, Xiurui Zhu, Zhen Cheng, Zhenming Yu, Sigang Yang, Minghua Chen, Shizhong Xie

“…Not only is a 625-kHz frame rate demonstrated, which is three orders of magnitude higher than that of a conventional SPI device, but the reconstruction process is remarkably accelerated as well, which enables our prototype system to operate in real time.…”
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SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising by Xiuying Li, Haoze Li, Hongwei Liao, Zhufeng Suo, Xuesong Chen, Jiameng Han

“…In the era of the Internet of Things (IoT), the rapid growth of interconnected devices has intensified the demand for efficient data acquisition and processing techniques. Compressive Sensing (CS) has emerged as a promising approach for simultaneous signal acquisition and dimensionality reduction, particularly in multimedia applications. …”
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Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices by Zhi Geng, Yanfei Wang, Wenyong Pan, Caixia Yu, Zhijing Bai, Hongzhou Zhang

“…This model encodes the discrimination process as a single numerical value, offering interpretability with only 2693 parameters. …”
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Retracted: Internet of Things Health Detection System in Steel Structure Construction Management by Qinglin Liu, Yongjiang Zhu, Xiongzhou Yuan, Jian Zhang, Rui Wu, Qianwen Dou, Song Liu

“…In recent years, the development of computer network technology, especially the hot Internet of things, has brought great convenience and comfort to people’s life. …”
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Buffer or Enabler? The Effect of Financial Slack on R&D Investment in Different Environments by Hye Kyung Yu, Minji Kim, Tohyun Kim

“…Using data from Compustat and the Center for Research in Security Prices (CRSP) database on 578 computer-processing firms in innovation-intensive industries in the United States, our results reaffirm that financial slack is a strategic asset that enhances R&D investment. …”
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