Distinct Neural Activities in Hippocampal Subregions Revealed Using a High-Performance Wireless Microsystem with PtNPs/PEDOT:PSS-Enhanced Microelectrode Arrays by Peiyao Jiao, Qianli Jia, Shuqi Li, Jin Shan, Wei Xu, Yu Wang, Yu Liu, Mingchuan Wang, Yilin Song, Yulian Zhang, Yanbing Yu, Mixia Wang, Xinxia Cai

“…However, existing microsystems often face data throughput, signal processing, and long-distance wireless transmission challenges. …”
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Novel protocol for multiple-dose oral administration of the L-type Ca2+ channel blocker isradipine in mice: A dose-finding pharmacokinetic study by Tamara Theiner, Nadine J. Ortner, Herbert Oberacher, Gospava Stojanovic, Petronel Tuluc, Jörg Striessnig

“…Nevertheless, pharmacokinetic data measuring the exposure achieved with these applications are sparse. …”
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All-Optical Encryption and Decryption at 120 Gb/s Using Carrier Reservoir Semiconductor Optical Amplifier-Based Mach–Zehnder Interferometers by Amer Kotb, Kyriakos E. Zoiros, Wei Chen

“…Encryption and decryption are essential components in signal processing and optical communication systems, providing data confidentiality, integrity, and secure high-speed transmission. …”
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Physics-informed data-driven closure relation for dilute short fiber suspensions by Bruno Ramoa, Chady Ghnatios, João Miguel Nóbrega, Francisco Chinesta

“…In this work, we use the concept of universal ordinary differential equations to infer a data-driven closure for fibers in the diluted regime using simple homogeneous flows. …”
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COMPLEX ELECTROMAGNETIC MONITORING OF GEODYNAMIC PROCESSES IN THE NORTHERN TIEN SHAN (BISHKEK GEODYNAMIC TEST AREA) by E. A. Bataleva, V. A. Mukhamadeeva

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A Hardware Implementation of Spaceborne SAR BP Algorithm Based on Precise Region Focusing and Hardware–Software Collaboration by Yongrui Li, Liang Chen, Pengnan Zheng, Jie Ding, Zhihan Zhang, Zhu Yang, Yizhuang Xie, Han Li

“…By dividing the imaging subregions and using a stepped data reading method, the demand for storage can be significantly reduced. …”
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Research on the Injection Mold Design and Molding Process Parameter Optimization of a Car Door Inner Panel by Kefan Yang, Youmin Wang, Guoqing Wang

“…The mold temperature, melt temperature, cooling time, holding pressure, and holding time were selected as the influencing factors, and volume shrinkage and warpage deformation were selected as the evaluation indicators to design and complete the orthogonal test. The test data were simulated by Moldflow, and the optimal combination of process parameters was determined by range and variance analysis. …”
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Simulation Study on Switching Process and Reverse Recovery Performance of Low Miller Capacitance Super Junction MOSFET by Maosen TANG, Dong LIU, Jun SHEN, Xinlai GE, Rongbin ZHOU, Junhan YE

“…The static characteristics of SJ-MOS with different processes and gate structures were compared and studied, and compared with the measured data to verify the correctness of the model.From the perspective of uneven expansion of space charge region, the micro mechanism of "capacitance turning" phenomenon in <italic>C</italic>-<italic>V</italic> characteristic test of devices with different process routes was analyzed. …”
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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

“…In the first step, the data are preprocessed by adding different noises with different ratios of signal to noise and different frequencies to the vibration signals. …”
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Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

“…However, quantum computing-based AI methods have the potential to process data in parallel by leveraging quantum properties such as superposition and entanglement, analyze higher-dimensional data more efficiently, and solve certain problems that classical methods struggle with more rapidly and effectively. …”
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A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data by Sameer Kumar Jasra, Gianluca Valentino, Alan Muscat, Robert Camilleri

“…This paper provides a comparative study of unsupervised Deep Learning (DL) methods for anomaly detection in Flight Data Monitoring (FDM). The paper applies Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs), Convolutional Neural Network (CNN), classic Transformer architecture, and LSTM combined with a self-attention mechanism to real-world flight data and compares the results to the current state-of-the-art flight data analysis techniques applied in the industry. …”
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Implementing the routine immunisation data module and dashboard of DHIS2 in Nigeria, 2014–2019 by Faisal Shuaib, Abdullahi Bulama Garba, Emmanuel Meribole, Samuel Obasi, Adamu Sule, Chimeremma Nnadi, Ndadilnasiya Endie Waziri, Omotayo Bolu, Patrick M Nguku, Margherita Ghiselli, Oluwasegun Joel Adegoke, Sara Jacenko, Ester Mungure, Saheed Gidado, Idongesit Wilson, Eric Wiesen, Hashim Elmousaad, Peter Bloland, Louie Rosencrans, Frank Mahoney, Adam MacNeil, Richard Franka, John Vertefeuille

“…The platform supports real-time data reporting and promotes government ownership and accountability. …”
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Evaluation of Physicochemical Properties, Drying Process and Drying Conditions of Natural Rubber Latex and Ribbed Smoked Sheets by I. O. Bakare

“…Its latex or lump forms are regarded as the farm gate while the ribbed smoked sheet (RSS) is the raw materials feeding the rubber industry and both are very essential in the productions process. …”
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Unification of approaches to assessing the quality and functional and technological properties of protein-containing products from processing legume raw materials by L. N. Rozhdestvenskaya, I. O. Lomovsky, O. V. Chugunova

“…A set and used ranges of critical parameters that require unification to obtain comparable data were identified: temperature, pressure, pH, time and speed of whipping and centrifugation. …”
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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset by Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey

“…Firstly, we performed the preprocessing stage that includes mean imputation and data normalization. …”
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Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data by Manisha Galphade, V. B. Nikam, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma

“…To improve the performance, data preprocessing is carried out using two techniques such as removal of missing values and imputing missing values using Random Forest Regressor (RFR). …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

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Hybrid Deep Learning Models for Predicting Student Academic Performance by Kuburat Oyeranti Adefemi, Murimo Bethel Mutanga, Vikash Jugoo

“…To improve the model’s performance, we address key data preprocessing challenges, including handling missing data, addressing class imbalance, and selecting relevant features. …”
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The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraints by Thanh-Dung Le, Ti Ti Nguyen, Vu Nguyen Ha, Symeon Chatzinotas, Philippe Jouvet, Rita Noumeir

“…Fine-tuning Large Language Models (LLMs) for clinical Natural Language Processing (NLP) poses significant challenges due to domain gap, limited data, and stringent hardware constraints. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…This study addresses the forecasting of soybean oil prices in China&#x2019;s wholesale markets by developing a Bayesian-optimized Multi-Task Gaussian Process Regression (MTGPR) framework. Traditional econometric models and machine learning approaches often struggle with non-stationary data and uncertainty quantification, while existing Gaussian process applications in agricultural markets remain underexplored. …”
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