Acellular porcine placental membranes as a novel biomaterial for tissue repair applications by Gustavo Henrique Doná Rodrigues Almeida, Luan Stefani Lima, Mariana Sversut Gibbin, Beatriz Lopomo, Rafael Oliveira Bergamo, Raquel Souza da Silva, Giovanna Vitória Consani Santos, Bruna Gomes Silva, Isabela Paulillo D’Onofrio, Henrique dos Santos, Lediane Pedroso Silva, Tais da Silva, Henrique Lança Fuzeti, Bianca Fuzeti Candian, Thais Naomi Gonçalves Nesiyama, João Victor Damin, Claudio Guilherme de Assis Oliveira, Lucas Paulo Jacinto Saavedra, Guilherme Henrique Gonçalves de Almeida, Douglas Lopes de Almeida, Jaqueline de Carvalho Rinaldi, Francielle Sato, Mauro Luciano Baesso, Luzmarina Hernandes, Flávio Vieira Meirelles, Rose Eli Grassi Rici, Durvanei Augusto Maria, Paulo Cezar de Freitas Mathias, Ana Claudia Oliveira Carreira, Ana Claudia Oliveira Carreira

“…Biological dressings derived from the extracellular matrix (ECM) of human placental tissues have proven effective in treating complex skin wounds and other anatomical sites, offering potential for new therapeutic applications. …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
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Research on leakage hazards of embankments based on 3D electrical resistivity tomography technology by Yuehang Zhao, Risheng Wang, Tao Gao, Tao Guo, Xin Guo

“…Leakage is a common issue in reservoirs; however, accurately detecting its location and seepage diameter can be challenging owing to complex geological conditions. …”
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CONSIDERATIONS REGARDING THE MANAGEMENT OF ORGANIZATIONAL CULTURE AT THE LEVEL OF PROFFESIONAL EMERGENCY SERVICES IN WESTERN ROMANIA by Irina VASTAG (VLĂDUŢESCU)

“…No organization can be led efficiently if it is unaware of true values. Starting from this aspect, this study aims to analyse the organizational culture of professional emergency services in the Western part of Romania, a complex, social, formal, well organized and coordinated structure. …”
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Sustainable interfirm collaborations in agriculture: A methodology for evaluating resource-saving complementary routines by Maksimchik Maksim

“…In the context of digital transformation of agriculture, effective intercompany interaction is becoming critical for the sustainable development of the agro-industrial complex. This article proposes a methodology for assessing the complementarity of exogenous routines of intercompany interactions in agriculture. …”
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Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images by Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu

“…Deep learning-based approaches have demonstrated outstanding performance in road extraction, particularly excelling in complex scenarios. However, extracting roads from remote sensing data remains challenging due to several factors that limit accuracy: (1) Roads often share similar visual features with the background, such as rooftops and parking lots, leading to ambiguous inter-class distinctions; (2) Roads in complex environments, such as those occluded by shadows or trees, are difficult to detect. …”
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Metastases of squamous cell carcinoma in the lymph nodes of the neck without the revealed primary focus by I. G. Komarov, D. A. Karseladze, A. I. Senderovich, A. I. Karseladze, K. V. Smirnova, M. A. Кrylovetskaya

“…The range of treatment methods for SCC is limited, combined and complex methods demonstrate greater efficiency, chemotherapy is less reasonable. …”
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Performance of conventional laboratory tests and Xpert MTB/RIF in the diagnosis of tuberculosis by Natalia Zaporojan, Ramona Hodișan, Andreea Atena Zaha, Claudiu Zaporojan, Dana Carmen Zaha

“… The laboratory diagnosis of tuberculosis (TB) represents a continuous challenge due to the variability and complexity of the required clinical samples. Although molecular technologies have considerably improved diagnostic accuracy, their combined use with traditional methods like microscopy and bacterial culture remains a subject of debate. …”
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Laser induced forward transfer imaging using deep learning by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…Abstract A novel approach for improving the accuracy and efficiency of laser-induced forward transfer (LIFT), through the application of deep learning techniques is presented. …”
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Testing, tracing and isolation in compartmental models. by Simone Sturniolo, William Waites, Tim Colbourn, David Manheim, Jasmina Panovska-Griffiths

“…An alternative used in practice is the application of agent- or individual-based models (ABM). However ABMs are complex, less well-understood and much more computationally expensive. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Achieved high segmentation accuracy in brain tumor detection, outperforming traditional methods with improved Dice scores, precision, and computational efficiency. …”
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Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness. by Ahmed Muqdad Alnasrallah, Maheyzah Md Siraj, Hanan Ali Alrikabi

“…This study indicates that the proposed strategy decreases computational complexity and enhances IDS efficiency in resource-constrained IoMT environments.…”
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Entropy-Based Emotion Recognition Using EEG Signals by Yeganeh Alidoost, Babak Mohammadzadeh Asl

“…Additionally, practical applications demand a balance between reducing computational complexity and maintaining high classification accuracy. …”
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Mitigating Transmission Errors: A Forward Error Correction-Based Framework for Enhancing Objective Video Quality by Muhammad Babar Imtiaz, Rabia Kamran

“…In video transmission, maintaining high visual quality under variable network conditions, including bandwidth and efficiency, is essential for optimal viewer experience. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Dissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner. …”
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Constitutive model of metal rubber material considering plastic accumulation behavior by FENG Zhipeng, YANG Fang, FU Hailong, AI Shigang, WANG Yue, YUAN Liangyang

“…This advanced model provides an accurate description of the complex interaction mechanisms occurring among internal coils during loading and unloading processes.…”
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Addressing data scarcity in speech emotion recognition: A comprehensive review by Samuel Kakuba, Dong Seog Han

“…These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker’s emotional state. …”
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Chromosome-Level Genome Assembly and Comparative Transcriptome Analyses Identified Energy Conservation as a Key Strategy for Anadromous Adaptation of the Hilsa Shad, <i>Tenualosa i... by Kishor Kumar Sarker, Liang Lu, Roland Nathan Mandal, Md Rashedur Rahman, Anirban Sarker, Mohammad Abdul Baki, Chenhong Li

“…We detected 1298 and 252 differentially expressed transcripts between sea and freshwater in the liver and muscle of <i>T. ilisha</i>, respectively, reflecting habitat and organ-specific adaptations. …”
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Pore Structure Quantitative Characterization of Tight Sandstones Based on Deep Learning and Fractal Analysis by Xinglei Song, Congjun Feng, Teng Li, Qin Zhang, Jiaqi Zhou, Mengsi Sun

“…The average fractal dimensions of the small and large pore-throats are 2.16 and 2.52, respectively, indicating greater complexity in the large pore-throat structures. The SEM-derived fractal dimension (<i>D</i>_SEM) reflects the diversity of pore shapes and the complexity of the micro-scale geometries. …”
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Post-evaluation model for 500 kV substation engineering projects using the fuzzy comprehensive evaluation method by Jianquan Chen, Yi Zhuang, Shaoyong Chen, Zhongtian Zhang, Yu Zhang

“…The novelty of this paper lies in its integration of a comprehensive fuzzy evaluation model that effectively combines multiple evaluation methods, offering a new framework for post-evaluation of complex projects. By merging expert scoring with empirical data, this paper establishes a more objective and comprehensive evaluation system that meets the multidimensional assessment needs of complex projects. …”
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