Emulsion-Based Encapsulation of Fibrinogen with Calcium Carbonate for Hemorrhage Control by Henry T. Peng, Tristan Bonnici, Yanyu Chen, Christian Kastrup, Andrew Beckett

“…This study advances current hemostatic particle technology by demonstrating enhanced self-propulsion and fibrinogen incorporation via the W/O/W emulsion method. Further optimization of the encapsulation method could enhance the effectiveness of fibrinogen-CaCO₃ particles for hemorrhage control.…”
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Extraction of Carotenoids from Pumpkin (<i>Cucurbita moschata</i>) and Spinach (<i>Spinacia oleracea</i>) Using Environmentally Friendly Deep Eutectic Solvents (DESs) by Koray Tanrıver, Mehmet Bilgin, Selin Şahin Sevgili, İrem Toprakçı Yüksel, Ebru Kurtulbaş Şahin

“…Food waste is considered as an important source for the recovery of bioactive compounds, such as carotenoids. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…The datasets for analysis are taken from open sources. Data preprocessing was performed by the method of mapping features into numerical vectors, then the method of bringing the data to the desired dimension was applied. …”
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Enhanced heat transfer and flow control in Oldroyd-B hybrid nanofluids: A study on electro-osmosis effects and thermal characteristics by Alugunuri Raghu, Mahesh Garvandha, Nagaraju Gajjela, Adigoppula Raju

“…We analyse the impacts of a variable heat source, thermal radiation, and stratification using the Cattaneo–Christov method. …”
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Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning by Shaofeng Chen, Zhengyan Chen, Jiawen Hong, Xiaowen Zhuang, Chenxi Su, Zheng Ding

“…It further explores campus landscape optimization pathways driven by multi-source data, providing scientific basis for sustainable campus planning.MethodsTaking Fuzhou University Town as a case study, this study integrates machine learning technology with multi-source data (street view images, social media text, and PRS-11 questionnaires) to construct a “multi-modal perception mechanism analysis-dynamic evaluation iteration” framework. …”
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Optimising sample preparation to enhance contrast-to-noise ratio in X-ray phase contrast tomography white matter (WM) imaging of the central nervous system by Michela Fratini, Michela Fratini, Lorenzo Massimi, Francesco Brun, Darren Batey, Inna Bukreeva, Alberto Mittone, Alberto Bravin, Elena Longo, Giuliana Tromba, Federico Giove, Federico Giove, Silvia Cipiccia, Alejandra Sierra

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Targeted proteomics for absolute quantification of glucose transporter 1 in mammalian brain cells using liquid chromatography-mass spectrometry by Yash Mehta, Dhavalkumar Patel, Iqra Pervaiz, Ulrich Bickel, Abraham Jacob Al-Ahmad

“…Taken together, we have developed and optimized a proteomic method for the absolute quantification of GLUT1 in mammalian cells, which allows an alternative method for protein quantification independent of the antibody-based ones.…”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…As a renewable and clean energy source with abundant reserves, the development of wave energy relies on accurate predictions of significant wave height (Hs). …”
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Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples by Eda Yilmaz, Hacer Yalim Keles

“…We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. …”
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Liquid-Liquid Extraction/Low-Temperature Purification (LLE/LTP) Followed by Dispersive Solid-Phase Extraction (d-SPE) Cleanup for Multiresidue Analysis in Palm Oil by LC-QTOF-MS by Elham Sobhanzadeh, Keivan Nemati

“…An evaluation of the extraction of multiresidue pesticides from palm oil by liquid-liquid extraction/low-temperature purification (LLE/LTP) coupled with dispersive solid-phase extraction (d-SPE) as the cleanup procedure with the determination by liquid chromatography mass spectrometry using electrospray as the ionization source (LC-ESI-MS) was carried out. Optimization approaches were studied in terms of d-SPE to select efficiency of type and mass of adsorbents to obtain the highest recovery yield of pesticides and the lowest coextract fat residues in the final extract. …”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Firstly, a nonlinear stochastic optimization mathematical model for the ADNDR is constructed, taking into account the uncertainty of sources and loads. …”
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Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine by Chonghang Zhao, Mingyuan Ge, Xiaogang Yang, Yong S. Chu, Hanfei Yan

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Creating custom 3D printing material colors using optical modeling of waste plastic by Kimia Aghamohammadesmaeilketabforoosh, Joshua Givans, Morgan Woods, Joshua Pearce

“…To determine the optimal method, assessment criteria include the application of root mean square (RMS) and the color difference (ΔE CIE-2000). …”
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Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies by Gang Chen, Taorui Zeng, Dongsheng Liu, Hao Chen, Linfeng Wang, Liping Wang, Kaiqiang Zhang, Thomas Glade

“…A landslide susceptibility index system is developed using multi-source data, with susceptibility prediction conducted via the XGBoost model optimized by Bayesian methods. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Digital Low-Altitude Airspace Unmanned Aerial Vehicle Path Planning and Operational Capacity Assessment in Urban Risk Environments by Ouge Feng, Honghai Zhang, Weibin Tang, Fei Wang, Dikun Feng, Gang Zhong

“…A path planning method considering the optimization of the turning points of parallelograms was proposed, and the Parallel-A* algorithm was adopted for its solution. …”
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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…The primary objective is to control the speed of electric drives using complex mechanical configurations and variable parameters. The CSA optimizes the voltage source inverter’s control signal, while RERNN predicts the optimal control signal. …”
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Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties by Hong Zhang, Qianwei Xi, Lei Chen, Yong Min, Xiongxiong Fan, Wenjin Fang, Nan Tian, Fei Xu

“…Based on the improved IEEE-39 node system to verify the validity and superiority of the price-based demand response uncertainty modelling method and multiple uncertainty modelling method in this paper, as well as the reasonableness and necessity for considering the reliability in the user’s comprehensive satisfaction with electricity and the multiple uncertainties in power system optimal scheduling.…”
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Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability by Kwanghyun Kim, Yoongun Jung, Minhyeok Chang, Junsang Cha, Seokjun Kang, Hyunkeun Ku, Gumin Kwon, Minhan Yoon, Gilsoo Jang

“…To prevent counteracting effects during multi-terminal HVDC control, the line loading and bus voltage are formulated as linear equations, and the optimal HVDC operating points are determined through optimization. …”
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