A Study of Practical Proxy Reencryption with a Keyword Search Scheme considering Cloud Storage Structure by Sun-Ho Lee, Im-Yeong Lee

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Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Tanveer Ahmed, Shahid Ali, Ayaz Ali, Aminjon Gulakhmadov, Won-Ho Nam, Nengcheng Chen

“…This study proposes Air Quality Prediction-Mamba (AQP-Mamba), a video-based deep learning model that integrates a structured Selective State Space Model (SSM) with a selective scan mechanism and a hybrid predictor (HP) to estimate air quality. …”
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The role of meaningful work and workplace attachment styles in predicting entrepreneurial well-being: insights from a structured sales network by Vladimír Koša, Elena Lisá

“…IntroductionThe study explores how meaningful work (MW) and workplace attachment styles, secure (SE), anxious (AX), and avoidant (AV), predict entrepreneurial well-being within a structured sales network of a financial services firm. …”
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StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

“…StructureNet improves existing DL methods by focusing entirely on structural descriptors to mitigate data memorization issues introduced by sequence and interaction data. …”
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Enhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies by Li Li, Tao Zheng, Enhong Dong, Minjie Chen, Xiaojing Zhao, Binyuan Zhang, Xuji Zhao, Weijun Shao, Yiling Fan

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Exploring the Emerging Evolution Trends of Probabilistic Service Life Prediction of Reinforced Concrete Structures in the Chloride Environment by Scientometric Analysis by Junzhi Zhang, Meng Wang, Xiaoyun Zhou, Weilong Yu, Yanhong Gao, Yurong Zhang

“…To reveal the global picture and emerging evolution trends with sufficiently large literature data of RC structure’s service life prediction, especially the time to corrosion initiation, the scientometric analysis on the corresponding evolution trends was performed by using visualization software CiteSpace and VOSviewer in this paper. …”
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Intelligent decision support system for iterative analysis of dysfunctions of the institutional system of human capital development based on neural structures by Zhukov Aleksandr, Pronichkin Sergey, Mihaylov Yuri, Kartsan Igor

“…Intelligent analysis of dysfunctions of the institutional system of human capital development is an iterative process of extracting useful information and decision-making templates from organized or unorganized arrays of big data of different formats. However, existing algorithms and approaches to intelligent analysis of human capital development data cannot be applied to solving problems of effective implementation of innovation programs, since they have a specific goal aimed at creating the results of intellectual activity. …”
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The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

“…In civil and bridge engineering, they can facilitate the identification of specific patterns through the analysis of data acquired from structural health monitoring (SHM) systems. …”
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Updated number forecast, russian car fleet structures by type of power plants and greenhouse gas emissions until 2050 by IU. V. Trofimenko, V. I. Komkov

“…The results of forecast estimation of the number, structure of the Russian motor vehicle fleet by type of power units and greenhouse gas (GHG) emissions up to 2050 are presented, taking into account the update of the initial data used in the calculations and the assumption that it will be decided to stop production of passenger cars with internal combustion engines starting from 2045. …”
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Cryo-EM structures of a protein pore reveal a cluster of cholesterol molecules and diverse roles of membrane lipids by Gašper Šolinc, Marija Srnko, Franci Merzel, Ana Crnković, Mirijam Kozorog, Marjetka Podobnik, Gregor Anderluh

“…Atomistic simulations support the structural data and reveal additional effects of the pore on the lipid membrane. …”
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Features of the geological structure, tectonic development and oil and gas potential of the Chezhen depression (Bohai bay basin) by Sh. Qiu, N. A. Kasyanova

“…To reveal regular features of the geological structure and location of oil deposits in the Chezhen depression in order to support the prospecting and exploration work within the Chezhen block of the Shengli field.Materials and methods. …”
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Conceptual modeling of the structure of a geoinformation system for formation of land plots in state and municipal ownership of settlements by Tetiana Bukhalska, Oleksandr Yanchuk, Viktor Moshynskyi, Anatolii Lishchynskyi

“…The developed conceptual model and topology verification model are the basis for physical data modeling and allow ensuring the principle of interoperability in the Spatial Data Infrastructure. …”
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Inversion of Lateral Impact Load Migration History and Trajectory Location Method for Deck Structures Based on the Time-Slicing Method by Hongtao Li, Qihu Sheng, Xianqiang Qu, Yaoguo Xie

“…This is a crucial structural dynamics inverse problem. The traditional dynamics inverse problem is generally to divide and calibrate the known region through Green’s function, locate the region through the minimum norm of the load data obtained from the measurement response inversion, and obtain the time history. …”
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Artificial Intelligence-Based Approach for Damage Localization in Ultrasonic Guided Wave-Based Structural Health Monitoring by Anastasiia Volovikova, Steffen Freitag, Oliver Schackmann, Vittorio Memmolo, Ahmed Bayoumi, Inka Mueller, Jochen Moll

“…Existing localization approaches are limited through them being applied on defined simple structures and requiring a large amount of data, which is usually unavailable in practical applications. …”
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Subway-Induced Vibration Measurement and Evaluation of the Structure on a Construction Site at Curved Section of Metro Line by Weixing Shi, Ligang Bai, Jianping Han

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Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…The reliability and accuracy of the computational method are validated through grid independence verification and comparisons with experimental data and empirical formulas. Systematic analysis of the effects of notch size, water entry velocity, and entry angle on the evolution of the free surface, impact loads, and structural responses uncovers several novel findings. …”
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GPU‐Accelerated Urban Flood Modeling Using a Nonuniform Structured Grid and a Super Grid Scale River Channel by Youtong Rong, Paul Bates, Jeffrey Neal

“…Abstract New remote sensing technologies, and the meter‐scale geospatial data they create, now allow for detailed urban landscape characterization, thereby advancing grid‐based hydrodynamic models. …”
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Navigating family dynamics and ethical considerations in genetic diagnosis of pulmonary arterial hypertension: insights from in-depth semi-structured interviews by Emilia M. Swietlik, Michaela Fay, Nicholas W. Morrell

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Impact of Implementing Structured Compensatory Methods on Knowledge and Awareness of Cognitive Dysfunction Management Among Neurological Disorder Patients in Vijayapur Hospitals by Nelson Vijaykumar, Aleyamma Varghese

“…It can result from neurotoxicity ischemia or neurodegenerative diseases like Alzheimerrsquos and Parkinsonrsquos.Objectives The study aimed to assess knowledge about cognitive impairment evaluate the effectiveness of structured compensatory techniques and analyze the relationship between knowledge scores and sociodemographic variables.Methodology The study assessed the effectiveness of structured compensatory techniques in improving knowledge about cognitive impairment among neurological patients in Vijayapura hospitals. …”
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Damage detection in structural health monitoring using hybrid convolution neural network and recurrent neural network by Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Thanh Bui-Tien, Hung Tran-Viet

“…Different machine learning techniques have been applied to attempt to extract features or knowledge from vibration data, however, they need to learn prior knowledge about the factors affecting the structure. …”
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