Reduced Inspiratory Muscle Strength in Patients with Type 2 Diabetes Mellitus and Obstructive Sleep Apnoea by Thomas Rehling, Anne Margareta Banghøj, Marie Hvelplund Kristiansen, Lise Tarnow, Stig Molsted

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Quantitative Determination of 7 Saikosaponins in Xiaochaihu Granules Using High-Performance Liquid Chromatography with Charged Aerosol Detection by Aoxue Liu, Tongtong Xu, Wenning Yang, Dandan Zhou, Yiwei Sha

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Farmers’ knowledge improves identification of drought impacts: A nationwide statistical analysis in Zambia by Max Mauerman, Henny Osbahr, Emily Black, Daniel Osgood, Grieve Chelwa, Bernadette Mushinge

“…This paper develops a novel methodology to address this need through incorporating farmer knowledge into robust drought impact assessments.Using a new dataset of 925 farmer focus groups in Zambia, we investigate whether farmers’ recollection can identify consequential drought events more consistently than crop yields, which are conventionally used for this purpose. …”
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Human Neonatal Thymus Mesenchymal Stem Cells Promote Neovascularization and Cardiac Regeneration by Shuyun Wang, Shan Huang, Lianghui Gong, Zhize Yuan, Joshua Wong, Jeffrey Lee, Ming-Sing Si

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Diversity of fish caught in Pangkalan Susu’s Marine, Langkat District, North Sumatera Province by Syahriani Hasibuan Julia, Enggar Susetya Ipanna, Fauzia Dewinta Astrid, Mellyginta Sinuhaji Simpati, Handayani Fitri

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A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy by Chetan Shetty, S. Seema, B. J. Sowmya, Rajesh Nandalike, S. Supreeth, Dayananda P., Rohith S., Vishwanath Y., Rajeev Ranjan, Venugopal Goud

“…The time reduction to find Eps makes a significant impact as the dataset size increases. The input parameters are fed to DBSCAN algorithm to obtain clustering results.…”
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А quantitative estimate of uncertainty of the random scattering of the average clearance and interference in mating by N. N. Chigrik

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INTELTRADE: Intelligent Peer-to-Peer Energy Trading System With Dynamic Pricing and Coalition Formation by Nicholas Kemp, Md Sadman Siraj, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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A Golgi apparatus‑related subtype and risk signature predicts prognosis and evaluates immunotherapy response in gastric cancer by Ruyue Chen, Zengwu Yao, Lixin Jiang, Jinchen Hu

“…Materials and methods Utilizing the TCGA-STAD dataset as the training cohort and GSE84433 as the validation cohort, we explored potential associations between Golgi apparatus-related genes (GARG) and GC clinical risk. …”
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Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network by Hichem Ykrelef, Younes Chiba, Mounir Zirari, Ahmed Benyekhlef, Abdelali Boukaoud, Djamel Sebbar, Abdelkrim Kherkhar, Hayati Mamur

“…Using a multilayer perceptron (MLP), the experimental dataset was used for training, testing, and validating the ANN. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. In the model verification phase, the network is fed with set operating conditions, achieving highly accurate identification of stable operating conditions and offline prediction.…”
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Transmission Lines Insulator State Detection Method Based on Deep Learning by Xu Tan, Shiying Hou, Fan Yang, Zhimin Li

“…Firstly, an insulator state detection model is built based on YOLOv7, and the model is improved using a bi-level routing attention mechanism and a content-aware up-sampling operator. Then, combined with dataset augmentation, including cropping, flipping, rotating, scaling, and splicing and a bounding box loss function incorporating a dynamic non-monotonic focus mechanism, 4000 visible images from different voltage levels of transmission lines are used for training. …”
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Examining spatiotemporal dynamics of CO2 emission at multiscale based on nighttime light data by Binbin Zhang, Zongzheng Liang, Wenru Guo, Zhanyou Cui, Deguang Li

“…The Chinese Academy of Science's Earth Luminous Dataset, CO2 emission data from Carbon Emission Accounts and Datasets, and basic national geographical data are used for analysis. …”
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Applying deep learning model to aerial image for landslide anomaly detection through optimizing process by Chwen-Huan Wang, Li Fang, Chiung-Yun Hu

“…Three GANomaly models were trained and tested using varying classification ratios, with datasets partitioned into training sets (normal images) and testing sets (normal and abnormal images). …”
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An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition by E.G. Tsiplakova, A. Chopard, N.S. Balbekin, O.A. Smolyanskaya, J.-B. Perraud, J.-P. Guillet, P. Mounaix, N.V. Petrov

“…Unlike a number of conventional phase retrieval algorithms, which may require a series of numerical experiments for determining optimal intensity distributions from a large dataset, disordered propagation of the estimation wavefront guarantees the high-contrast and high-resolution image reconstruction without pre-setting the parameters. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

“…We obtained a set of audio signals, with and without clicks, annotated by human subjects from a publicly available dataset. Audio signal sets are categorized based on the obtained annotation results to train the algorithms for different levels of the experiments. …”
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Dissociating social reward learning and behavior in alcohol use disorder by Simon Jangard, Björn Lindström, Lotfi Khemiri, Nitya Jayaram-Lindström, Andreas Olsson

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A Study of Serum Adiponectin Levels in Patients with Polycystic Ovarian Syndrome and its Correlation with Various Cardiometabolic Risk Markers by G. Surendra Prasad, Uma Kaimal Saikia, Ashok Krishna Bhuyan, Abhamoni Baro

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Enhanced Power Conversion Efficiency of P3HT : PC71BM Bulk Heterojunction Polymer Solar Cells by Doping a High-Mobility Small Organic Molecule by Hanyu Wang, Xiao Wang, Pu Fan, Xin Yang, Junsheng Yu

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Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data by Wallace Camacho Carlos, Alessandro Copetti, Luciano Bertini, Leonard Barreto Moreira, Otávio de Souza Martins Gomes

“…The contributions of this study were threefold: the handling of input data, the development of the two network architectures for HAR, and the high accuracy achieved, ranging from 97% to 98%, on the public University of California, Irvine human activity recognition dataset (UCI-HAR). These results highlighted the benefit of incorporating temporal data to enhance accuracy in activity classification.…”
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