Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting by Jenna Ritvanen, Bent Harnist, Miguel Aldana, Terhi Makinen, Seppo Pulkkinen

“…This implies that nowcasting of heavy rainfall is improved when growth and decay are predicted using a deep learning model.…”
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Therapeutic correction of ApoER2 splicing in Alzheimer's disease mice using antisense oligonucleotides by Anthony J Hinrich, Francine M Jodelka, Jennifer L Chang, Daniella Brutman, Angela M Bruno, Clark A Briggs, Bryan D James, Grace E Stutzmann, David A Bennett, Steven A Miller, Frank Rigo, Robert A Marr, Michelle L Hastings

“…Treatment of AD mice with a single dose of ASO corrected ApoER2 splicing for up to 6 months and improved synaptic function and learning and memory. These results reveal an association between ApoER2 isoform expression and AD, and provide preclinical evidence for the utility of ASOs as a therapeutic approach to mitigate Alzheimer's disease symptoms by improving ApoER2 exon 19 splicing.…”
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A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks by Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yuhao Huang, Rui Zou

“…Recent advances in deep learning have driven significant success in synthetic aperture radar (SAR) automatic target recognition, particularly through convolutional neural network (CNN) based classification algorithms. …”
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Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy by Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Tomoaki Sonobe, Masahiro Kameoka, Masanori Niki, Ken Hayashi, Yoshinori Mitamura

“…Training to construct the DL model using deep convolutional neural network algorithms was provided using ultrawide-field fundus images. The SVM uses scikit-learn library with a radial basis function kernel. …”
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Construction of a diagnostic model utilizing m7G regulatory factors for the characterization of diabetic nephropathy and the immune microenvironment by Jingying Zhong, Pengli Xu, Xuanyi Li, Meng Wang, Xuejun Chen, Huiyu Liang, Zedong Chen, Jing Yuan, Ya Xiao

“…N7-Methylguanosine (m7G) modification plays a crucial role in regulating RNA structure and function, linking it closely to metabolic disorders. …”
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal by Soojeong Lee, Mugahed A. Al-antari, Gyanendra Prasad Joshi, Yeong Hyeon Gu

“…Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. …”
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AI for rapid identification of major butyrate-producing bacteria in rhesus macaques (Macaca mulatta) by Annemiek Maaskant, Donghyeok Lee, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A. M. Langermans, Evgeni Levin

“…Abstract Background The gut microbiome plays a crucial role in health and disease, influencing digestion, metabolism, and immune function. Traditional microbiome analysis methods are often expensive, time-consuming, and require specialized expertise, limiting their practical application in clinical settings. …”
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EEG Oscillations as Neuroplastic Markers of Neural Compensation in Spinal Cord Injury Rehabilitation: The Role of Slow-Frequency Bands by Guilherme J. M. Lacerda, Lucas Camargo, Marta Imamura, Lucas M. Marques, Linamara Battistella, Felipe Fregni

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Vocal biomarkers correlate with FEV1 variations during methacholine challenge by Giovanni Paoletti, Giovanni Costanzo, Morena Merigo, Francesca Puggioni, Sebastian Ferri, Maria Rita Messina, Fulvio Cordella, Giuseppe Ranieri, Arianna Arienzo, Victor Savevski, Giorgio Walter Canonica, Ayana deBrito Martins, Enrico Heffler

“…Our study aimed to investigate the feasibility of applying signal‐processing and machine‐learning technologies to detect alterations in the lower airway caliber and develop a machine‐learning algorithm to identify changes in vocal biomarkers and detect bronchoconstriction in patients with airway hyperreactivity. …”
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Dynamic causal modeling of neural responses to an orofacial pneumotactile velocity array by Yingying Wang, Rebecca Custead, Hyuntaek Oh, Steven M. Barlow

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Cross-Domain Carotid Artery Segmentation Using Folding Fan ResNet and Quadratic Mapping Loss by Zhaozheng Chen, Zhiyin Liu, Bernard Chiu

“…Additionally, the quadratic mapping loss (QML) function is proposed to improve model fine-tuning. …”
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Trading off Iodine and Radiation Dose in Coronary Computed Tomography by Guillaume Fahrni, Thomas Saliba, Damien Racine, Marianna Gulizia, Georgios Tzimas, Chiara Pozzessere, David C. Rotzinger

“…Emerging technologies, such as photon-counting CT and deep-learning reconstruction, promise further improvements in dose efficiency and image quality. …”
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La geografía de los clásicos: rutas literarias para el fomento lector y la promoción del patrimonio / The geography of classics: literary routes for reading development and heritag... by Jerónimo Méndez Cabrera, Francesc Rodrigo Segura

“…From an interdisciplinary perspective, special emphasis is placed on the socializing function of literature for reading promotion and the importance of reading literary classics in contexts of updating that, in this case, materialize in community spaces and heritage promotion —not only conservation. …”
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TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…During training, ISMA was used to iteratively optimize the learning rate of the TCN-LSTM-MHSA model to improve prediction accuracy and speed. …”
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Enhanced analysis of MHD radiative hybrid nanofluid flow over a spinning disc with hall currents via advanced computational techniques by Muhammad Jebran Khan, Mohsin Ali, Maher Ali Rusho, Juan Carlos Cayán Martínez, Eduardo Francisco García Cabezas, Diego Ramiro Ñacato Estrella, Angel Geovanny Guamán Lozano, Noormal Samandari

“…This integration of computational and machine learning methods enhances the understanding of complex flow dynamics, marking a significant advancement in fluid dynamics research.…”
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Artificial Intelligence Teaching System and Data Processing Method Based on Big Data by Bo Xu

“…The scientific and objective learning evaluation obtained in this study through data analysis can not only provide teachers with relevant information and provide personalized guidance to students, but also improve the adaptive and personalized service functions of the learning platform of the artificial intelligence teaching system, greatly reducing teachers teaching burden. …”
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PEMANFAATAN TEKNOLOGI INFORMASI DALAM PEMBELAJARAN PAI DI SD NEGERI CANDIREJO by Bekti Taufiq Taufiq Ari Nugroho, Mustaidah .

“… Abstrac Utilization of Information Technology for Learning Islamic Education (PAI) in SD Negeri Candirejo can be grouped into three functions, namely: a) Independent / classical learning media; 2) Information Technology that is used for learning aids; 3) Information Technology related as a source of learning (learning resurces). …”
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Realization of Music-Assisted Interactive Teaching System Based on Virtual Reality Technology by Yan Gao, Lin Gao

“…Virtual reality technology has attracted researchers’ attention because it can provide users with a virtual interactive learning environment. Based on the theory of virtual reality technology, this paper proposes the system model design and architecture of virtual interactive music-assisted interactive teaching and realizes key technologies such as modeling, music-assisted interactive teaching scene interaction, and database access. …”
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Multi-scale adversarial diffusion network for image super-resolution by Yanli Shi, Xianhe Zhang, Yi Jia, Jinxing Zhao

“…Furthermore, to mitigate blurring artifacts introduced during the denoising process, a high-frequency loss function is proposed, targeting the residuals of high-frequency features between images. …”
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Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology. by Yuxi Long, Bruce R Donald

“…We present PATH+, a novel, generalizable machine learning algorithm for BAP that exploits recent advances in computational topology. …”
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