Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…Objective With the intensifying global population aging, the demand for mechanical ventilation in geriatric patients is rising. Given their complex physiological traits and sparse intensive care unit (ICU) data, accurate intubation prediction is difficult. …”
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Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring by Qingshan Bai, Xiaohua Wang

“…Furthermore, visual analysis indicates that CTM accurately captures real change regions while significantly suppressing pseudo-changes, maintaining high descriptive accuracy even in complex environments. This study provides an efficient and precise solution for applications such as land use monitoring, environmental monitoring, and disaster response.…”
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Cloning, annotation and developmental expression of the chicken intestinal MUC2 gene. by Zhengyu Jiang, Todd J Applegate, Amy C Lossie

“…Intestinal mucin 2 (MUC2) encodes a heavily glycosylated, gel-forming mucin, which creates an important protective mucosal layer along the gastrointestinal tract in humans and other species. …”
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GIS-class systems of spatial information as the base for creating strategic acoustic maps of urban areas by Jan Kaźmierczak, A. Lipowczan, W. Batko, B. Rudno-Rudzińska, K. Rudno-Rudziński

“…The basic methodological assumption of this project is development of the technology of a strategic acoustic map creation as an autonomous layer in the Spatial (Geographical) Information Systems (GIS), currently used for many purposes by Polish local governments. …”
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Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach by Ritu Gupta, Ekata, C.M. Batra

“…The artificial neural network is the foundation of artificial intelligence and solves many complex problems which are difficult by statistical methods or by humans. …”
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Flexible Model Predictive Control for Bounded Gait Generation in Humanoid Robots by Tianbo Yang, Yuchuang Tong, Zhengtao Zhang

“…The FMPC is based on an enhanced flexible C-T model as the motion model, featuring an elastic layer and an auxiliary second center of mass (CoM) to simulate joint systems. …”
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Rolling Based on Multi-Source Time–Frequency Feature Fusion with a Wavelet-Convolution, Channel-Attention-Residual Network-Bearing Fault Diagnosis Method by Tongshuhao Feng, Zhuoran Wang, Lipeng Qiu, Hongkun Li, Zhen Wang

“…By fusing complementary time–frequency features derived from continuous wavelet transform, short-time Fourier transform, Hilbert–Huang transform, and Wigner–Ville distribution, the capability to characterize complex fault patterns is significantly improved. …”
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Understanding Lake Residence Time Across Spatial and Temporal Scales: A Modeling Analysis of Lake George, New York USA by Guillaume A. R. Auger, Michael R. Kelly, Vincent W. Moriarty, Kevin C. Rose, Harry R. Kolar

“…Whole lake residence times may serve as a poor proxy to understand the dynamics of water masses, especially in large and morphologically complex waterbodies.…”
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Barriers and Strategies for Oral Peptide and Protein Therapeutics Delivery: Update on Clinical Advances by Kshitis Chandra Baral, Ki Young Choi

“…Peptide and protein (PP) therapeutics are highly specific and potent biomolecules that treat chronic and complex diseases. However, their oral delivery is significantly hindered by enzymatic degradation, instability, and poor permeability through the gastrointestinal (GI) epithelium, resulting in low bioavailability. …”
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Stability Analysis of Soil and Rock Mixed Slope Based on Random Heterogeneous Structure by Yafei Wang, Zhanrong Zhang, Xingpei Kang, Hao Xie, Chenchen Wang, Kun Liu

“…Due to the complexity in the heterogeneous internal structure and interactions between rocks and soil, the slide of soil–rock mixed slope is usually more complex than that of a homogeneous soil slope. …”
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In-operando characterizations of oligothiophene OFETs: controlling the structure-property relationships at the nanoscale by Souren Grigorian, Anton Davydok, Linda Grodd, Yuriy Luponosov, Sergey Ponomarenko, Ilaria Fratoddi

“…For this purpose, a custom-made setup designed for in-operando tests of OFETs was used, allowing a correlation under measured conditions of the complex microstructure with the thin film electrical behavior, under operating conditions. …”
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Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins' Analogical Architectural Design Classification Framework by Hüseyin Özdemir

“…By constructing multi-layered artificial neural networks, deep learning can derive analogical predictions from structured data to solve complex tasks. …”
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Computational Analysis for Fluid-Solid Interface Using Computational Fluid Dynamics Analysis Techniques by Ghada S. Kadhim, Sahar S. Abdullah, Fredj Hassen

“…The simulation approach can be extended in future work to validate results against experimental data and to explore more complex structures and dynamic conditions. …”
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Using OpenPrescribing.net to evaluate neighbourhood-level prescribing of inhalers for asthma and COPD by Thomas C. Richards, Alison Heppenstall, Rachel A. Oldroyd, Victoria Barr, Roger Beecham

“…This trend persisted until early 2022, when the trend began to reverse. Whilst many complex factors influence prescribing behaviour and safety, area-level deprivation appears to be an important dimension.…”
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Hybrid boosted attention-based LightGBM framework for enhanced credit risk assessment in digital finance by Chengwei Ying, Anlu Shi, Xiongyi Li

“…The HBA-LGBM model introduces four key innovations: (1) a multi-stage feature selection mechanism that dynamically filters key borrower attributes; (2) an attention-based feature enhancement layer, which prioritizes critical financial risk factors dynamically based on contextual importance; (3) a hybrid boosting strategy, integrating LightGBM with an adaptive neural network, enabling the model to capture complex borrower behavior and non-linear credit risk patterns; and (4) an advanced imbalanced learning strategy, combining synthetic data augmentation and cost-sensitive learning to mitigate class imbalance and enhance minority class predictions. …”
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Borderline Lepromatous Leprosy with Mild Reversal Reaction in Child by Nellia Fonna, Tutty Ariani, Yosse Rizal, Satya Wydya Yenny

“…Histopathological examination showed atrophic stratified squamous epithelium, grenz zone, many groups of foamy macrophages reached the fat layer. The patient was diagnosed Morbus Hansen borderline lepromatous leprosy type with mild reversal reaction and treated with MDT-MB drug package, vitamin B complex tablet, zinc tablet, paracetamol tablet, and 10% urea cream on dry skin 2 times a day on dry skin after bath during 2 month and the lesion was reduced. …”
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Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms by Antonio Panico, Alberto Corvi, Luca Collini, Corrado Sciancalepore

“…Abstract The choice of the optimal printing setup for Fused Deposition Modeling (FDM) 3D-printing technology is challenging due to complex interactions between process parameters and mechanical properties. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…<b>Background:</b> Addressing the complex diagnostic challenges of Alzheimer’s disease (AD), this study introduces FusionNet, a groundbreaking framework designed to enhance AD classification through the integration of multi-modal and longitudinal imaging data. …”
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Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters. by Sarah Farhadpour, Aaron E Maxwell

“…Our results suggest that the incorporation of advanced modules can enhance segmentation performance, particularly in scenarios involving limited training data or complex geomorphic landscapes. However, differences were minimal when larger training set sizes were used (e.g., above 500 image chips) and the base UNet architecture was generally adequate. …”
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Investigation on unstable flow characteristics and energy dissipation in Pelton turbine by Wenrui Fan, Longgang Sun, Pengcheng Guo

“…The results contribute to an enhanced understanding of the energy dissipation characteristics and complex flow mechanisms within the turbine, providing reference for the optimisation and efficient operation of the multi-nozzle Pelton turbine.…”
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