这是我们最新精选的有关高熵氧化物（HEOs）的全球出版物和专利，这些出版物和专利在众多科学在线期刊中进行了分类，主要涉及高熵氧化物、HEOs、尖晶石 HEO、岩盐 HEO、PE-HEO、F-HEO、构型熵、Perovskite HEO、SP-HEO、R-HEO、萤石 HEO、熵稳定、固态反应合成、层状 HEO、RP 和 delafossite、火焰喷射热解、热沸石 HEO、溶液燃烧合成 (SCS)、HEO、熵驱动相分离、迟缓扩散和火焰喷射热解 (FSP)。
Modeling Viewing Engagement in Long-Form Video Through the Lens of Expectation-Confirmation Theory
Published on 2025-10-21 by Yingjie Chen, Jin Zhang @MDPI
Abstract: Existing long-form video recommendation systems primarily rely on rating prediction or click-through rate estimation. However, the former is constrained by data sparsity, while the latter fails to capture actual viewing experiences. The accumulation of mid-playback abandonment behaviors undermines platform stickiness and commercial value. To address this issue, this paper seeks to improve viewing engagement. Grounded in Expectation-Confirmation Theory, this paper proposes the Long-Form Video Vie[...]
Our summary: This paper proposes the Long-Form Video Viewing Engagement Prediction (LVVEP) method to enhance viewing engagement. It utilizes Expectation-Confirmation Theory to estimate user expectations and dynamically constructs perceived experience using a GRU-based encoder. Experiments show that LVVEP outperforms existing models, offering insights for optimizing long-form video platforms.
Recommendation Systems, Expectation-Confirmation Theory, Long-Form Video, User Engagement
Publication
Study on the Thermal and Rheological Properties of Nano-TiO2-Modified Double Phase Change Asphalt
Published on 2025-10-21 by Xingming Liu, Xiaojun Cheng, Shanshan Wang, Sishuang Wei, Meng Guo, Shanglin Song, Fukui Zhang @MDPI
Abstract: In this paper, paraffin-44H (PW-44H) and paraffin-5 (PW-5) were respectively selected as the high/low-temperature phase change core material, and expanded vermiculite (EVM) was selected as the phase change carrier matrix. A high-temperature composite phase change material (CPCM), 44H/EVM, and a low-temperature CPCM, 5/EVM, were prepared by combining melt blending with vacuum adsorption. Nano-TiO2 was incorporated as a thermal conductor into the CPCMs to enhance the heat transfer efficiency betwe[...]
Our summary: This study investigates the thermal and rheological properties of nano-TiO2-modified double phase change asphalt. It demonstrates that incorporating 2% nano-TiO2 optimizes the heat storage performance and thermal conductivity of the composite phase change materials. The findings indicate that double phase change materials effectively reduce the heating and cooling rates of asphalt, enhancing its temperature sensitivity.
Nano-TiO2, Phase Change Material, Thermal Conductivity, Asphalt
Publication
Rheology to Microstructure and Eco-Functionality
Published on 2025-10-21 by Siva Jamjala, Manivannan Thulasirangan Lakshmidevi, K. S. K. Karthik Reddy, Bidur Kafle, Riyadh Al-Ameri @MDPI
Abstract: The use of nanomaterials (NMs) in 3D printing concrete (3DPC) has shown significant advancements in enhancing both fresh and hardened properties. This review finds that their inclusion in printable concrete has altered the rheological properties of the mix by promoting thixotropy, extrudability, and buildability while simultaneously refining the microstructure to enhance mechanical strength. Studies further highlight that these additives impart functional properties, such as the photocatalytic a[...]
Our summary: This review discusses the impact of nanomaterials on the rheological properties and microstructure of 3D printed concrete. It highlights the benefits of enhanced mechanical strength and functional properties, such as photocatalytic activity and electrical conductivity. Challenges related to dispersion, cost, and environmental compatibility are also addressed, emphasizing the need for optimized approaches in concrete printing.
Rheology, Nanomaterials, 3D Printing, Eco-Functionality
Publication
Decomposition Analysis of Theoretical Raman Spectra for Efficient Interpretation of Experimental Spectra of Thin-Film Functional Materials
Published on 2025-10-21 by Doskocz, Laskowski, Kujawski, Karczmarska, Cpałka, Lipiec, Laskowska @MDPI
Abstract: This study introduces a novel approach for analyzing theoretical Raman spectra, designed to facilitate spectral interpretation, particularly for complex systems such as functional mesoporous silica-based thin films. The proposed methodology relies on spectral decomposition supported by theoretical calculations, representing a step toward the development of autonomous research laboratories. The method assigns vibrational shifts to individual atoms within a molecular model and uses this informatio[...]
Our summary: This study presents a novel method for analyzing theoretical Raman spectra to improve interpretation of experimental data for thin-film materials. The approach involves spectral decomposition that maintains atomic interactions, enhancing accuracy in vibrational assignments. It demonstrates the application of this method on mesoporous silica thin films, emphasizing the role of molecular modeling and future AI integration for automation.
Raman Spectroscopy, Spectral Decomposition, Thin-Film Materials, Molecular Modeling
Publication
A Case Study of Luoyang Beijiao Airport
Published on 2025-10-21 by Chen Zhang, Weijun Pan, Yingwei Zhu, Yanqiang Jiang, Xuan Wang @MDPI
Abstract: Wake vortex is a critical factor affecting aircraft safety and airport runway capacity. To assess the runway capacity of mixed operations for training and transport airports, this study first simulated the wake vortex dissipation process of the commonly used A321 aircraft at Luoyang Beijiao Airport using a wake vortex prediction model. The SR20 training aircraft was selected as the subject for wake vortex encounters, with the rolling moment coefficient used as an indicator to assess the risk of [...]
Our summary: This study simulates the wake vortex dissipation process of the A321 at Luoyang Beijiao Airport. It assesses wake vortex encounters with the SR20 training aircraft and calculates safety separations. A runway capacity model is developed, showing improved capacity under reduced separation conditions across various atmospheric scenarios.
wake vortex, runway capacity, aircraft safety, simulation model
Publication
Models for Predicting the Long-Term Strength of Rheonomic Materials
Published on 2025-10-20 by Alibay Iskakbayev, Bagdat Teltayev, Cesare Oliviero Rossi, Yerbol Aitbayev, Azamat Zhaisanbayev @MDPI
Abstract: Reliable modeling and prediction of the long-term strength of materials are relevant, as they allow for accurate determination of the service life of structures and components made from these materials. The aim of this work is to develop models of the long-term strength of rheonomic materials under constant stress and step loading using the principle of damage accumulation, as well as a model for predicting their long-term strength under constant stress based on short-term test data. Using the d[...]
Our summary: This work develops models to predict the long-term strength of rheonomic materials under constant stress and step loading. The models utilize damage accumulation principles and short-term test data for accurate predictions. Their practical significance lies in their application for assessing the service life of structures made from these materials.
rheonomic materials, long-term strength, damage accumulation, predictive modeling
Publication
Artificial intelligence assisted monitoring of patients
Patent published on the 2025-10-16 in WO under Ref WO2025217634 by BOARD OF SUPERVISORS OF LOUISIANA STATE UNIV AND AGRICULTURAL AND MECHANICAL COLLEGE [US] (Dunham Michael [us])
Abstract: A method is described herein comprising receiving first video data of a first plurality of subjects, wherein the first video data tracks a tracheostomy tube position in the first plurality of subjects, wherein the tracheostomy tube position comprises either a first tracheostomy tube position or a second tracheostomy tube position, training a predictive model using information of the first video data, wherein the information of the first video data comprises annotated frames, wherein the annotate[...]
Our summary: The method involves receiving video data to monitor tracheostomy tube positions in patients. A predictive model is trained using annotated frames from the video data to differentiate between tube positions. The model is then applied to new video data to detect transitions between these positions.
Artificial Intelligence, Patient Monitoring, Predictive Modeling, Video Data
Patent
Assessment and management system for rehabilitative conditions and related methods
Patent published on the 2025-09-02 in MX under Ref MX2025009000 by REHABILITATION INST OF CHICAGO [US] (Chang Chih-hung [us], Bodine Andrew [us], Sliwa James A [us])
Abstract: Systems and methods are disclosed for the measurement of patient outcomes in a rehabilitation setting. In one exemplary method, an assessment relating to self-care is provided, an assessment relating to mobility is provided, and an assessment relating to cognition is provided, wherein the assessments have been pre-selected using item response theory.[...]
Our summary: The system measures patient outcomes in rehabilitation. It includes assessments for self-care, mobility, and cognition. Assessments are pre-selected using item response theory.
rehabilitation, assessment, patient outcomes, item response theory
Patent
