Collagen–Platelet-Rich Plasma Mixed Hydrogels as a pBMP2 Delivery System for Bone Defect Regeneration by Anastasiia Yurevna Meglei, Irina Alekseevna Nedorubova, Viktoriia Pavlovna Basina, Viktoria Olegovna Chernomyrdina, Andrey Anatolevich Nedorubov, Valeriya Sergeevna Kuznetsova, Andrey Vyacheslavovich Vasilyev, Sergey Ivanovich Kutsev, Dmitry Vadimovich Goldshtein, Tatiana Borisovna Bukharova

“…The use of gene-activated matrices (GAMs) impregnated with genetic constructs may be an innovative approach to solving this problem. …”
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Dual-environment feature fusion-based method for estimating building-scale population distributions by Guangyu Liu, Rui Li, Jing Xia, Zhaohui Liu, Jing Cai, Huayi Wu, Mingjun Peng

“…The dual environments of buildings were constructed by splitting the physical boundaries and extracting features suitable for the dual-environment scale from multi-source geographic data to describe the complex environmental features of buildings. …”
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Particle Size Inversion Based on <i>L</i>_1,∞-Constrained Regularization Model in Dynamic Light Scattering by Changzhi Li, Zhi Dou, Yajing Wang, Jin Shen, Wei Liu, Gaoge Zhang, Zhixiang Yang, Xiaojun Fu

“…On this basis, combined with the robustness of DFT and the sparsity of regularization terms, an <i>L</i>_1,∞-constrained Tikhonov regularization model was constructed. This model improves the inversion accuracy of PSD and offers a better noise-resistance performance. …”
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A New Automatic Hydrological Station Relocation Algorithm (ASRA) for Moving Hydrological Stations Onto a Simulated Digital River Network by Kun Wang, Denghua Yan, Zuhao Zhou, Baisha Weng, Tianling Qin, Wuxia Bi, Siyu Liu

“…Abstract Determining the precise placement of hydrological stations on a simulated digital river network is crucial for constructing hydrological models applicable to process simulation, water resource management, and flood forecasting endeavors. …”
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Research on intelligent video recognition method for roof water inrush signs in coal mines by Huiqing LIAN, Jia KANG, Shangxian YIN, Bin XU, Guocheng YAN, Xiangxue XIA, Baotong XU

“…This method employs pixel change rates to construct the water inrush warning system. It autonomously annotates images collected from water inrush-prone areas within coal mines and segments water inrush sign regions using the SAM model. …”
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Biodegradation of combined pollutants of polyethylene terephthalate and phthalate esters by esterase-integrated Pseudomonas sp. JY-Q with surface-co-displayed PETase and MHETase by Haixia Wang, Jiahong Zhu, Meng Sun, Mengjie Gu, Xiya Xie, Tongtong Ying, Zeling Zhang, Weihong Zhong

“…The waste pollution problem caused by polyethylene terephthalate (PET) plastics poses a huge threat to the environment and human health. …”
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Cultural adaptation of the facial emotion perception test for use in Zimbabwe: A pilot study by Denford Gudyanga, Primrose Nyamayaro, Summer Frandsen, Rebecca Easter, Sarah Derveeuw, Pauline Thibaut, Alina Dillahunt, Conall O’Cleirigh, Leah Rubin, Scott A. Langenecker, Melanie Abas

“…Background: In African countries, including Zimbabwe, about half of those with depression respond to first-line therapies like problem-solving therapy. Predicting who needs more intensive treatment is challenging. …”
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A multifactor coupled rarly-warning model for pipeline landslide hazards based on the dynamic evolutionary process of disaster by Sen WU, Dexu QI, Hu LI, Yu LAN, Jiang LI, Mingzhi SUN

“…Three key monitoring indicators of landslide hazard deformations, external induced indicators, and pipeline stress-strain were extracted to construct a monitoring index system for pipeline landslide hazards. …”
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Signal Compensation of Moon Mineralogy Mapper (M3) Under Low-Illumination Conditions Using a CycleGAN-Based Network by Rui Ni, Fei Zhao, Tingyu Meng, Yanlei Du, Pingping Lu, Robert Wang

“…The network was trained by constructing paired datasets of low and high SNR M3 spectra from the lunar South Pole. …”
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Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

“…At the same time, a "low stress-high pressure" synergistic design path is constructed, which provides theoretical basis and experimental support for the optimization of seal structure under complex working conditions.The study establishes a three-dimensional parameterized model by combining finite element simulation and experimental verification. …”
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Mechanical response characteristics and damage mechanism of water-containing mudstone under low strain rate dynamic loading by Guichen LI, Sen YANG, Yuantian SUN, Jinghua LI, Haoran HAO, Zeyu SHAO

“…Accelerated instability and failure of surrounding water-rich mudstone in roadway under dynamic loading has become a prominent problem in deep coal resource mining, and it is of great significance to study the damage mechanism of water-containing mudstone mass under disturbing loads in depth. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…This interpretation workflow can be used to construct representative classification models and estimate capillary pressure across a wide saturation range.…”
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Theoretical Analysis of the Thermal Balance of Thermal Loss Accidents in Shilin, Yellow River, Gansu Province, and Ailao Mountain, Yunnan Province, in 2021 by Long Jia, Dong Ming, Su Huai

“…Its occurrence is not only a medical problem but also a thermodynamic problem and involves a specific geographical environment. …”
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Non-Isomorphic Cayley Graphs of Metacyclic Groups of Order 8<i>p</i> with the Same Spectrum by Lang Tang, Weijun Liu, Rongrong Lu

“…A group <i>G</i> is said to be Cay-DS if all Cayley graphs of <i>G</i> are Cay-DS. An interesting open problem in the area of algebraic graph theory involves characterizing finite Cay-DS groups or constructing non-isomorphic Cayley graphs of a non-Cay-DS group that share the same spectrum. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…However, their widespread use has contributed to the growing problem of microbial resistance. Addressing this challenge requires the identification of new microbe-drug associations to support the development of novel therapeutic strategies. …”
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MHD radiative mixed convective flow of a sodium alginate-based hybrid nanofluid over a convectively heated extending sheet with Joule heating by Yasmin Humaira, Bossly Rawan, Alduais Fuad S., Al-Bossly Afrah, Saeed Anwar

“…Tables and figures are constructed to show the behavior of the physical parameters involved in the momentum and temperature equations. …”
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Two-Step Transfer Learning Improves Deep Learning–Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma by Jie Ju, Ioannis Ntafoulis, Michelle Klein, Marcel JT Reinders, Martine Lamfers, Andrew P Stubbs, Yunlei Li

“…In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL framework was constructed for a difficult task: predicting the response of the drug temozolomide (TMZ) in glioblastoma (GBM) cell cultures. …”
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A Multi-Fusion Early Warning Method for Vehicle–Pedestrian Collision Risk at Unsignalized Intersections by Weijing Zhu, Junji Dai, Xiaoqin Zhou, Xu Gao, Rui Cheng, Bingheng Yang, Enchu Li, Qingmei Lü, Wenting Wang, Qiuyan Tan

“…First, Unmanned Aerial Vehicle aerial imagery combined with the YOLOv7 and DeepSort algorithms is utilized to achieve target detection and tracking at unsignalized intersections, thereby constructing a vehicle–pedestrian interaction trajectory dataset. …”
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Blockchain-Enabled Cross-Chain Coordinated Trading Strategy for Electricity-Carbon-Green Certificate in Virtual Power Plants: Multi-Market Coupling and Low-Carbon Operation Optimiz... by Chao Zheng, Wei Huang, Suwei Zhai, Kaiyan Pan, Xuehao He, Xiaojie Liu, Shi Su, Cong Shen, Qian Ai

“…In the context of global climate governance and the low-carbon energy transition, virtual power plant (VPP), a key technology for integrating distributed energy resources, is urgently needed to solve the problem of decentralization and lack of synergy in electricity, carbon, and green certificate trading. …”
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Global Ionospheric TEC Map Prediction Based on Multichannel ED-PredRNN by Haijun Liu, Yan Ma, Huijun Le, Liangchao Li, Rui Zhou, Jian Xiao, Weifeng Shan, Zhongxiu Wu, Yalan Li

“…In this paper, we draw inspiration from the predictive recurrent neural network (PredRNN), which has dual memory states to construct a TEC prediction model named Multichannel ED-PredRNN. …”
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