3BTRON: A Blood-Brain Barrier Recognition Network by Nan Fletcher-Lloyd, Isabel Bravo-Ferrer, Katrine Gaasdal-Bech, Blanca Díaz Castro, Payam Barnaghi

“…Additionally, feature importance methods revealed the spatial features of each image that contributed most to the predictions. …”
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The Emerging Role of Omics-Based Approaches in Plant Virology by Viktoriya Samarskaya, Nadezhda Spechenkova, Natalia O. Kalinina, Andrew J. Love, Michael Taliansky

“…In this review, we discuss the current state-of-the-art applications of such key omics techniques, their challenges, future, and combinatorial use (e.g., single cell and spatial omics coupled with super-resolution high-throughput imaging methods and artificial intelligence-based predictive models) to obtain new mechanistic insights into plant–virus interactions, which could be exploited for more effective plant disease management and monitoring.…”
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Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics. by Katrina A Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser

“…Here, we present mathematical, analytical, and computational results that demonstrate that consideration of the spatial structure of the viral population within the host radically alters predictions of previous models. …”
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Image Reconstruction Algorithm Based on Extreme Learning Machine for Electrical Capacitance Tomography by SU Ziheng, CHEN Deyun, WANG Lili

“…Aiming at the problem that the traditional ECT is not accurate in complex situations, this paper proposes a depth learning based inversion method Through the improvement and optimization of the traditional extreme learning machine, the image feature information obtained by the reconstructed image method is used as the training data, and the result obtained by inputting the data into the predictive model is used as the prior information The cost function is used to encapsulate the prior knowledge and domain expertise, and spatial regularizers and time regularizers are introduced to enhance sparsity The separated Bregman (SB) algorithm and the iterative shrinkage threshold (FIST) method are used to solve the specified cost function The final imaging result is obtained The simulation results show that the image reconstructed by this method has less than 10% error compared with the original flow pattern, and reduces artifacts and distortion, which improves the reconstructed image quality…”
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Energy-efficient human-like trajectory planning for wheeled robots in unstructured environments based on the RCSM-PL network by Hao Xu, Guanyu Zhang, Huanyu Zhao

“…Experimental results show that, compared with traditional and state-of-the-art methods, the proposed approach significantly reduces cumulative power consumption and improves accuracy in predicting future trajectories. The model effectively learns human manipulation behaviors and demonstrates superior energy-saving performance in complex driving scenarios.…”
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Modular Mobile Charging Facility Layout Optimization Method and Deployment Strategy by Jiajun ZHENG, Xiaoyu DUAN, Zechun HU, Xiaorui HU, Bin ZHU

“…Firstly, an electric vehicle user travel mechanism model is established to predict the spatial and temporal distribution of charging demand at the node level. …”
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Deep reinforced cognitive analytics algorithm (DRCAM): An advanced method to early detection of cognitive skill impairment using deep learning and reinforcement learning by Sunita Patil, Dr. Swetta Kukreja

“…This study proposes a novel approach combing Multimodal Transformers (MMT) for fusion features, namely, neuroimaging data, wearable sensors, neuropsychological test scores, and text pro-appraisals. A CNN-LSTM hybrid model is used for mapping spatial and temporal dependencies, and, on the other hand, a Deep Q-Network (DQN) improves while instructing how to perform proper cognitive training. …”
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Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…Given the need for advanced machine-learning systems that provide spatial analysis and services, the recognition model should be robust to various changes, have high extensibility, and provide sufficient recognition speed even with minimal computational overhead. …”
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How Do Particles with Complex Interactions Self-Assemble? by Lara Koehler, Pierre Ronceray, Martin Lenz

“…However, current self-assembly models typically ignore this aspect, and the principles by which it determines the large-scale structure of protein assemblies are largely unknown. …”
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Land cover as a driver of fish community changes in New York's Oswego River Watershed. by Kate M Henderson, Megan Hazlett, Joshua A Drew

“…Land cover exerts a powerful influence on aquatic communities at multiple spatial scales, and alterations to systems can persist even after restoration actions are taken. …”
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Selection Theory of Dendritic Growth with Anisotropic Diffusion by Martin von Kurnatowski, Klaus Kassner

“…Any physical solution should include this feature. A simple spatial rescaling is used to reduce the bulk equation in 2D to the case of isotropic diffusion. …”
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PROGRAMA INNOVADOR PARA EVALUAR USO Y PREFERENCIA DE HÁBITAT by Javier Montenegro, Alberto Acosta

“…This topic is high priority due to the rapid climatic changesthat, according to model predictions, will directly or indirectly affect the resources, conditions and therefore itshabitat, modifying its abundance, spatial distribution, and local probability of extinction. …”
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Information support for chub mackerel Scomber japonicus fishery in the Pacific waters of the Russian Federation by E. P. Chernienko, I. S. Chernienko

“…The model was trained on the data for 2016–2019 and verified on the data for 2020. …”
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Immersivity: An Interdisciplinary Approach to Spaces of Immersion by Florian Freitag, Céline Molter, Laura Katharina Mücke, Helena Rapp, Damien B. Schlarb, Elisabeth Sommerlad, Clemens Spahr, Dominic Zerhoch

“…We assume that in all of these examples, spatial qualities and modes interact in particular ways to facilitate immersion. …”
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NURSERY SCHOOL BUILDINGS IN PREFABRICATION TECHNIQUES FROM THE EARLY 60S TO THE 80S IN ITALY. HISTORICAL, TECHNOLOGICAL, AND PEDAGOGICAL OVERVIEW by Barbara Gherri, Federica Morselli

“…It demonstrates how effective prefabricated technologies can address the educational requirements of increasingly flexible learning environments, accommodate potential spatial variations over time, and achieve a high level of environmental integration to optimize the efficient use of both indoor and outdoor spaces. …”
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The Role of Sustainable Design in Interior Spaces for Kindergartens by Halla Hameed Salih, Raja Saadi Lafta

“…The third chapter outlines the research methodology, relying on a descriptive approach to analyze the research model. The fourth chapter presents the research results, highlighting that natural and artificial lighting systems used in educational and service spaces in kindergarten environments achieve functional and aesthetic aspects. …”
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Epidemiological Characteristics of Human Rabies in Urban and Suburban Districts in Shanghai, 2006–2021 by Zhi Li, Jiayu Hu, Zhuoying Huang, Xiang Guo, Jia Ren, Jing Qiu, Xiaoying Ma, Han Yan, Fang Huang, Xiaodong Sun

“…Infection risk was predicted with a Bayesian aggression model. A total of 43 human rabies cases were registered in Shanghai in 2006–2021; the annual average incidence rate was 0.01/100000. …”
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MGNN: Moment Graph Neural Network for Universal Molecular Potentials by Jian Chang, Shuze Zhu

“…Abstract The quest for efficient and robust deep learning models for molecular systems representation is increasingly critical in scientific exploration. …”
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The glycolytic characteristics of hepatocellular carcinoma and its interaction with the microenvironment: a comprehensive omics study by Dan Chen, Dandan Lin, Huling Li, Jiandong Yang, Lei Liu, Hanyuan Zhang, Dandan Tang, Kai Wang

“…Through public data integration, 17 glycolysis-related DEGs were identified and 101 predictive models were constructed using machine learning. …”
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Evaluation of 2024 Meteorological Drought Forecasts for Türkiye: Using ECMWF SEAS5 Data and the SPEI Index by Gülten Çamalan, Sercan Akil

“…Long-term precipitation and temperature data from 190 meteorological observation stations, with records starting from 1969, were employed to identify climate trends using the Mann-Kendall rank correlation method. The study presents spatial and temporal distributions of drought conditions and assesses the SEAS5 model’s success in predicting droughts across different months and seasons. …”
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