Wireless Dynamic Sensor Network for Water Quality Monitoring Based on the IoT by Mauro A. López-Munoz, Richard Torrealba-Melendez, Cesar A. Arriaga-Arriaga, Edna I. Tamariz-Flores, Mario López-López, Félix Quirino-Morales, Jesus M. Munoz-Pacheco, Fernando López-Marcos

“…The system facilitated data collection at various points of interest, allowing for a graphical representation of parameter evolution. …”
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A physical state prediction method based on reduce order model and deep learning applied in virtual reality by Pengbo Yu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Siyun Yi, Ming Zhu, Yangheng Hu, Gexiang Zhang, Gexiang Zhang

“…This method firstly integrates data dimensionality reduction and temporal convolutional network (TCN) to pre-capture time-series data from numerical simulation results, and then employs Kolmogorov–Arnold Networks (KAN) to approximate nonlinear characteristics to improved Long Short-Term Memory (LSTM) network, thereby predict time-series simulation data accurately to achieves realistic and responsive dynamic displays. …”
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Research on 3D modeling of underground roadways in coal mines by LIAN Boxiang, MI Langtao, LI Shangjie, GUO Jiyao

“…The Delaunay Triangulation algorithm was adopted to construct an irregular triangular mesh model of the underground roadway, and multi-stage optimization was used to achieve fine 3D reconstruction, which was finally presented via a visualization platform. The research results can be integrated with technologies such as the Internet of Things, big data, and artificial intelligence to realize intelligent mine management and decision-making.…”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through bibliometric analysis and network visualization, it reveals emerging trends, origins, leading institutions, and hot topics in this field. …”
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3D EEG and Clinical Evidence of Brain Dying. Preliminary Report by M. Drobný, B. Drobná Sániová, S. Učňová, G. Sobolová, R. Koyš, C. Machado, Ya. Machado

“…Neurophysiological testing using electroencephalography and evoked potentials — somatosensory evoked potentials and brainstem auditory evoked potential could have been helpful in the final diagnostic brain death conclusion, but the diagnostic accuracy of these methods in the last years has revealed controversies. Here, we present data on quantitative EEG signal evaluation (qEEG) by a 3-dimensional brain mapping (3D BM) as developing tool to clarify whether the transverse and anterior posterior coherences such as connectivity indices may demonstrate connection in transversal or anterior posterior dimensions with «wavelet transformation» and if the 3D BM visualization of the of representative EEG signals may improve informative value of EEG signals quantification when evaluating the brain dying.The purpose of our work is to provide an update on the evidence and controversies on the use of EEG for determining brain dying and raise discussion on EEG applications to improve the transplantation program.Results. …”
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Construction of knowledge graph for gas polyethylene pipelines based on ALBERT-BiGRU-CRF by Zhilong Yu, Juan Zhou, Qiang Wang, Haiting Zhou, Yun Song, Chenjia Zong

“…Abstract With the advancement of intelligent operation and maintenance (O&M) for gas polyethylene pipelines, effectively managing and utilizing pipeline data has become crucial for the development of information technology. …”
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Leveraging Sentinel-1/2 time series and deep learning for accurate forest tree species mapping by Jun Tan, Jing Li, Tianyue Ma, Xingguang Yan, Ziye Huo

“…Remote sensing provides an efficient approach using satellite image time series (SITS), but complex data poses challenges for classifiers and feature analysis. …”
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Multimodal Metaverse Healthcare: A Collaborative Representation and Adaptive Fusion Approach for Generative Artificial-Intelligence-Driven Diagnosis by Jianhui Lv, Adam Slowik, Shalli Rani, Byung-Gyu Kim, Chien-Ming Chen, Saru Kumari, Keqin Li, Xiaohong Lyu, Huamao Jiang

“…Longitudinal studies and visualization further illustrate MMLMH’s adaptability to evolving virtual environments and balanced performance across diagnostic accuracy, patient–system interaction efficacy, and data integration complexity. …”
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A framework for modelling whole-lung and regional transfer factor of the lung for carbon monoxide using hyperpolarised xenon-129 lung magnetic resonance imaging by Jemima H. Pilgrim-Morris, Laurie J. Smith, Helen Marshall, Bilal A. Tahir, Guilhem J. Collier, Neil J. Stewart, Jim M. Wild

“…Models were trained on data from 150 patients with asthma and/or COPD. The random forest model was applied voxel-wise to 129Xe images to yield regional TL maps. …”
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Development and recalibration of a multivariable type 1 diabetes prediction model for type 1 diabetes across multiple screening studies by Erin L. Templeman, Lauric A. Ferrat, Hemang M. Parikh, Lu You, Taylor M. Triolo, Andrea K. Steck, William A. Hagopian, Kendra Vehik, Suna Onengut-Gumuscu, Peter A. Gottlieb, Stephen S. Rich, Jeffery P. Krischer, Maria J. Redondo, Richard A. Oram, the Type 1 diabetes TrialNet Study Group

“…Additionally, we sought to create an application for easy calculation and visualisation of individualised risk prediction. Methods We developed and internally validated a stratified prediction model combining a genetic risk score, age, islet autoantibodies, and family history using data from children followed since birth by The Environmental Determinants of Diabetes in the Young (TEDDY) study. …”
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Approche par modélisation pluie-débit de la connaissance régionale de la ressource en eau : application au haut bassin du fleuve Sénégal by Ansoumana Bodian

“…In this context, the main objective of this thesis was to simulate missing hydrological data using the GR2M model, especially in the upper Guinean basin. …”
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Dermoscopic Patterns of Facial Melanoses in Adult Patients: A Cross-sectional Study by Manjari Annapurna Malladi, Rameez Raja Mullan Abdul, Divya Sri Vaka, Abhilash Bhavani Satya Venkata Subrahmanya Pampana, Susmitha Kattamsetty

“…Dermoscopy is a non invasive and reliable tool for the direct visualisation of skin pigmentation and early diagnosis due to its distinctive dermoscopic patterns. …”
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Systems Policy Analysis for Antimicrobial Resistance Targeted Action (SPAARTA): A Research Protocol [version 2; peer review: 2 approved] by Raheelah Ahmad, Rishabh Jain, Nina Zhu, Mirfin Mpundu, Jyoti Joshi, Alison Holmes, Paola Amigo Gutierrez, Rifat Atun, Tillman Weyde

“…Interactive Tableau dashboard development to display insights from a & b to allow visualisation and comparison of case-country AMR intervention context and components. …”
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In vivo Confocal Microscopy for Corneal and Ocular Surface Pathologies: A Comprehensive Review by Ramirez-Miranda A, Guerrero-Becerril J, Ramirez M, Vera-Duarte GR, Mangwani-Mordani S, Ortiz-Morales G, Navas A, Graue-Hernandez EO, Alio JL

“…From 1835 articles retrieved, studies published within the last seven years with clinical relevance were prioritized, yielding 51 articles. Data were synthesized to evaluate IVCM’s diagnostic capabilities, technical advancements, and applications across corneal pathologies, including infectious keratitis, dystrophies, and post-surgical outcomes.Results: IVCM was shown to provide unparalleled visualization of cellular and subcellular corneal structures, enabling early diagnosis and monitoring of conditions such as keratitis caused by Acanthamoeba and fungi, corneal dystrophies, and nerve regeneration following refractive or transplant surgeries. …”
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Archaeology of the military orders in Castilla-La Mancha and the virtual reconstruction of its heritage by Jaime García Carpintero López de Mota, David Gallego Valle

“…In the creation process of a virtual model, it is necessary to collect all information and data as are possible of the element on which we work. …”
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PBertKla: a protein large language model for predicting human lysine lactylation sites by Hongyan Lai, Diyu Luo, Mi Yang, Tao Zhu, Huan Yang, Xinwei Luo, Yijie Wei, Sijia Xie, Feitong Hong, Kunxian Shu, Fuying Dao, Hui Ding

“…Extensive experimental results consistently demonstrated that our model possessed robust human Kla site prediction ability, achieving an AUC (area under receiver operating characteristic curve) value of over 0.880 on the independent validation data. Feature visualization analysis further validated the effectiveness of in feature learning and representation from Kla sequences. …”
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REVISIT INTENTION PADA DESTINASI WISATA: ANALISIS BIBLIOMETRIK DAN REKOMENDASI PENELITIAN DI MASA DEPAN by Gede Yogananta Surya Kusuma, Astrid Puspaningrum

“…Data analysis was conducted using VOSviewer software that produces bibliometric visualizations in the form of networks, overlays, and density visualizations to map the relationship between themes and the contribution of each study. …”
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Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives by Hao Ren, Hao Ren, Hao Ren, Fengshi Jing, Yongcong Ma, Ruining Wang, Chaocheng He, Yufan Wang, Jiandong Zhou, Yu Sun

“…Looking ahead, we anticipate that this field will increasingly prioritize data privacy protection, particularly in the era of large language models, to address emerging challenges and ensure sustainable growth. …”
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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

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Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics by Shuangsang Fang, Mengyang Xu, Lei Cao, Xiaobin Liu, Marija Bezulj, Liwei Tan, Zhiyuan Yuan, Yao Li, Tianyi Xia, Longyu Guo, Vladimir Kovacevic, Junhou Hui, Lidong Guo, Chao Liu, Mengnan Cheng, Li’ang Lin, Zhenbin Wen, Bojana Josic, Nikola Milicevic, Ping Qiu, Qin Lu, Yumei Li, Leying Wang, Luni Hu, Chao Zhang, Qiang Kang, Fengzhen Chen, Ziqing Deng, Junhua Li, Mei Li, Shengkang Li, Yi Zhao, Guangyi Fan, Yong Zhang, Ao Chen, Yuxiang Li, Xun Xu

“…Here, we present Stereopy, a flexible framework for modeling and dissecting comparative and spatiotemporal patterns in multi-sample spatial transcriptomics with interactive data visualization. To optimize this framework, we devise a universal container, a scope controller, and an integrative transformer tailored for multi-sample multimodal data storage, management, and processing. …”
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