Evaluation of the Gelation Characteristics and Printability of Edible Filamentous Fungi Flours and Protein Extracts by Lauren Doyle, Suvro Talukdar, Youling L. Xiong, Akinbode Adedeji, Tyler J. Barzee

“…Protein extracts were successfully prepared using the alkaline extraction–isoelectric precipitation method and successful physical gels were created after heating and cooling. …”
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Taking into account a location of aircraft’s center of mass during motion cuing by Volodymyr Kabanyachyi, Serhii Hrytsan, Serhii Yankovskyi

“…The problem was solved on the basis of simplified operator for transformation of motion system movements along individual degrees of freedom into jack movements, cubic spline functions to describe the dependence of the centers of rotation along pitch and yaw, and optimization theory using the deformable polyhedron method. …”
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Shape Adjustment of a Large Planar Phased Array Antenna With Nonlinear Cable Actuators by Jiyang Zhou, Xiang Liu, Guoping Cai, Jun Sun, Dongfang Zhu

“…The effectiveness of the proposed nonlinear active cable element and the shape adjustment method is validated by simulations. Results show that the shape adjustment can be successfully achieved by the nonlinear cable actuators proposed in this paper. …”
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Integrated Technologies for Smart Building Energy Systems Refurbishment: A Case Study in Italy by Lorenzo Villani, Martina Casciola, Davide Astiaso Garcia

“…This model enabled energy simulations using the Carrier–Pizzetti method and supported the design of a hybrid HVAC system—integrating VRF and hydronic circuits—further enhanced by a custom ML algorithm for adaptive, predictive energy management through BIM and IoT data fusion. …”
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A Robust Control Strategy for Distributed Generations in Islanded Microgrids by esmaeel rokrok, fariba shavakhi zavareh, jafar soltani, mahmoud reza shakarami

“…The validity and effectiveness of the presented method are supported by time domain simulation of a test microgrid in MATLAB.…”
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Dynamic Stiffness Measurements of Road Pavements by Means of Impact Hammer in a Non-Resonant Configuration by Matteo Bolognese, Erica Greco, Francesco Bianco, Gaetano Licitra

“…In the present paper, the TAD, the measurement optimization work, the data analysis performed, and the proposed representation method will be described. …”
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Exploration of Bioinformatics on Microbial Fuel Cell Technology: Trends, Challenges, and Future Prospects by K. T. Nachammai, Srinithi Ramachandran, Chitra Nagarajan, Langeswaran Kulanthaivel, Gowtham Kumar Subbaraj, Kirubhanand Chandrasekaran, Vijayalakshmi Paramasivan, Senthilkumar Subramanian

“…Microbial fuel cells (MFCs) are a cost-effective and environmentally friendly alternative energy method. MFC technology has gained much interest in recent decades owing to its effectiveness in remediating wastewater and generating bioelectricity. …”
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Quantification of Carbon Emissions of Building Decoration Processes by Lianxiang Zhang, Huanyu Wu, Xin Wang, Fugui Wu, Zhikun Ding, Lei Song, Xin Rong, Jing Liu, Xin Wen, Ping Zhong

“…This study employs the life cycle assessment (LCA) method to quantify the carbon emissions associated with building decorations across five typic building types: residential, hospital, educational, sports cultural, and office buildings. …”
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Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

“…Then, we conducted ablation experiments utilizing the open-source VIRAL and real-world datasets. The experimental results demonstrate that the proposed method exhibits superior positioning accuracy and robustness in contrast to the open-source VINS-MONO and VIR-SLAM methods.…”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Through numerical experiments using real-world semiconductor manufacturing data, we demonstrate that sensor selection based on economic value can lead to significantly different outcomes compared to conventional methods. Our findings show the importance of considering both economic benefit and cost factors in sensor selection, particularly in applications involving multiple sensor clusters or heterogeneous data sources.…”
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Universal domain adaptation for machinery fault diagnosis based on multi‐scale dual attention network and entropy‐based clustering by Chun‐Yao Lee, Guang‐Lin Zhuo

“…However, most existing diagnostic methods assume that the label spaces of the source and target domains are the same. …”
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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

“…In addition, regularization techniques were applied, including cross-validation, feature selection, boost methods, L1 (Lasso) and L2 (Ridge) regularization, as well as hyperparameter optimization. …”
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The ineffectiveness of urban development plans in realizing a sustainable city(Case study: Zanjan) by mahboob reyhan, mohsen ahadnejad, taghi heydari

“…Therefore, in the context of identifying the causes of inefficiency of urban development plans, a mixed approach was used, which is a combination of two quantitative and qualitative methods. Data were also obtained from primary and secondary sources. …”
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Design a low-noise 5GHz wideband microwave power amplifier using 90nm CMOS technology with area reduction employing an active inductor by Taha Naufal Fadhil, A.Z. Yonis

“…To ensure that the circuit is compatible with the source impedance, methods such as inductive source decomposition and single-stage common source decomposition are employed. …”
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Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study by Biks Alebachew Taye

“…The economic viability of solar, wind, and energy storage systems is meticulously evaluated using HOMER Pro software, aiding in the identification of viable energy sources. Once optimized energy resources, energy storage solutions, and load demands are identified, a systematic approach is taken. …”
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Techniques for increasing the efficiency of microclonal propagation of potatoes (review) by Yu. D. Smirnova, E. A. Podolian

“…The application of tissue culture method for propagation of potato plants is the most significant. …”
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High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

“…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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Research advances in mesenchymal stem cells and related therapies for rotator cuff tendon-to-bone healing by Laimeng Song, Na Li, Jiwu Chen

“…Clinical studies demonstrate reduced retear rates with MSC-based therapies, yet animal models show inconsistent outcomes, influenced by cell source, delivery methods, and dosage. MSC modifications (e.g., gene editing) and scaffold-based strategies further improve biomechanical strength and fibrocartilage regeneration. …”
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Digital Technologies in the Financial sector: Evolution and Major Development Trends in Russia and Abroad by D. A. Artemenko, S. V. Zenchenko

“…The research is based on the analysis of data provided by international consulting companies, analytical centers, and official data sources of the Central Bank (Bank of Russia). The authors apply methods such as comparative research, empirical, logical, graphical, analysis, interpretation, and comparison. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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