MmNet: Identifying Mikania micrantha Kunth in the wild via a deep Convolutional Neural Network by Xi QIAO, Yan-zhou LI, Guang-yuan SU, Hong-kun TIAN, Shuo ZHANG, Zhong-yu SUN, Long YANG, Fang-hao WAN, Wan-qiang QIAN

“…After training and testing, the identification of 400 testing samples by MmNet is very good, with accuracy of 94.50% and time cost of 10.369 s. Moreover, in quantitative comparative analysis, the proposed MmNet not only has high accuracy and efficiency but also simple construction and outstanding repeatability. …”
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Development and validation of a pathomics model for accurate grading of pancreatic neuroendocrine tumors by Ying Li, Chengwei Chen, Yunshuo Zhang, Jieyu Yu, Xu Fang, Fang Liu, Tiegong Wang, Jing Li, Li Wang, Jianping Lu, Hui Jiang, Chengwei Shao, Yun Bian

“…In conclusion, our model enhances data processing efficiency and provides a quantitative assessment of histological features, holding promise for guiding individualized treatment and risk stratification in PanNET management. …”
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Matching estimators of causal effects in clustered observational studies by Cui Can, Zhang Yunshu, Yang Shu, Reich Brian J., Gill David A.

“…Under our proposed matching framework, we recommend matching on both cluster-level and unit-level covariates to achieve efficiency. The simulation study results demonstrate that our matching strategy minimizes the bias and achieves the nominal confidence interval coverage. …”
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A study of the leather industry in the district of Cotacachi (Ecuador) according to the theoretical Marshallian-Becattinian scheme by Fernando Martín-Mayoral, Roberta Curiazi, Leonel Castro Ruales

“…This is because there is no ‘industrial atmosphere’ that enables a ‘collective efficiency’ connected to innovative processes. The presence of micro-networks in its interior, which can potentially generate a ‘district effect’ as in the case of Prato, clashes with an almost complete absence of subcontracting initiatives, with no articulation between productive actors, nor relationships between companies (except for micro-networks), and a lack of adequate institutional support. …”
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A review of indirect freezing desalination: Key parameters, experimental research, and numerical modeling by Xingxiang Xie, Yangui Chen, Leyang Dai, Lijie Xu

“…The results indicate that factors such as freezing temperature, initial salinity, and supercooling degree significantly affect ice quality and desalination efficiency. However, experimental limitations, such as scale constraints and the difficulty of replicating real seawater conditions, impact accuracy. …”
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Analytical and Experimental Investigation of Nonlinear Dynamic Characteristics of Hydrodynamic Bearings for Oil Film Instability Detection by Yang Chen, Zequn Zhao, Hao Zhang, Xin Li, Zhanqun Shi

“…Compared to traditional analytical models and numerical solutions, the nonlinear dynamic coefficients have higher accuracy and efficiency and can reliably identify the onset frequency of oil film instability. …”
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Export–Import Activity and Its Assessment: The Ukrainian Case by Lyudmyla Malyarets, Svitlana Labunska, Mykola Sidak, Hanna Bilokonenko, Viktoriya Onegina

“…To achieve the research goal, quantitative methods were used: the method of integral taxonomic indicators of development and efficiency, the method of forecasting based on trend models, multivariate factor analysis, and the modified method of cointegration of time series. …”
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Navigational decision-making method for wide inland waterways with traffic separation scheme navigation system by Luping Xu, Liwen Huang, Xingya Zhao, Jinlai Liu, Jiahao Chen, Kun Zhang, Yixiong He

“…The results indicate that our method effectively controls ship traffic and ensures timely route tracking in a multi-ship environment within wide inland waters equipped with traffic separation systems, significantly enhancing safety and efficiency.…”
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Mechanical Properties and Energy Characteristics of Shales Under Conventional Triaxial Compression Conditions Based on Different Initial Prestresses by Yanju Li, Hao Yang, Xiaoqian Yuchi, Shengling Jiang, Rili Yang, Pan Shu, Hui Liu

“…This study provides critical insights into the damage mechanisms of shale under complex stress conditions and offers theoretical support for optimizing shale gas extraction engineering practices. The quantitative relationships between stress, energy evolution, and confining pressure contribute to improving the efficiency and safety of shale reservoir development.…”
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Flexible imputation toolkit for electronic health records by Alireza Vafaei Sadr, Jiang Li, Wenke Hwang, Mohammed Yeasin, Ming Wang, Harold Lehmann, Ramin Zand, Vida Abedi

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Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts by Alessandro Stefano, Fabiano Bini, Nicolò Lauciello, Giovanni Pasini, Franco Marinozzi, Giorgio Russo

“…Ultimately, this work paves the way for more efficient, automated preprocessing tools in lung cancer detection, with potential to significantly improve clinical decision making and patient outcomes.…”
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A decision‐making tool for navigating extracellular vesicle research and product development by Francesca Loria, Sabrina Picciotto, Giorgia Adamo, Andrea Zendrini, Samuele Raccosta, Mauro Manno, Paolo Bergese, Giovanna L. Liguori, Antonella Bongiovanni, Nataša Zarovni

“…Here, we present a multi‐criteria EV decision‐making grid (EV‐DMG) as a novel, efficient, customizable, and easy‐to‐use tool to support EV research and innovation. …”
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Determination of 18 amino acids in Tianlongquan seasoning glutinous rice wine by HPLC with pre-column derivatization by ZHANG Long, HAO Junguang, MO Wei, WAN Ruijie, WEI Haidan, QI Cen, HOU Hui, LIANG Zhenrong, WU Jinyan, LIN Haichao

“…The method was simple, accurate and efficient, and could be used to quantitatively determine the contents of amino acids in Tianlongquan seasoning glutinous rice wine and related products.…”
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Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol by Ana Lia Bernardo, Anne Parra, Virginia Cebrián, Óscar Ahumada, Sergio Oddi, Enrico Dainese

“…Notably, abnormal cholesterol levels are a well-established indicator of various pathological conditions; yet, the quantitative detection of the free form of cholesterol is complicated by its small molecular size, pronounced hydrophobicity, and the necessity for mediator molecules to achieve efficient sensing. …”
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Depositing Pt nanoparticles on crumpled Ti3C2Tx for enhanced electrochemical sensing by Huaqing Chen, Tianshu Chu, Shundong Ge, Bowei Zhang, Fu-Zhen Xuan, Rui Yin

“…The synergistic coupling between Pt nanoparticles and MXene support facilitates efficient electron transfer between dopamine and the electrode surface, thereby improving the sensing performance of dopamine. …”
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Method of Detecting Microorganisms on the Surface of Mandarin Fish Based on Hyperspectral and Information Fusion by Tao Yuan, Yixiao Ma, Zuyu Guo, Yijian Wang, Liqin Kong, Yaoze Feng, Haopeng Liu, Liang Meng

“…Microorganisms play a key role in fish spoilage and quality deterioration, making the development of a rapid, accurate, and efficient technique for detecting surface microbes essential for enhancing freshness and ensuring the safety of mandarin fish consumption. …”
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Gamified Engagement for Data Crowdsourcing and AI Literacy: An Investigation in Affective Communication Through Speech Emotion Recognition by Eleni Siamtanidou, Lazaros Vrysis, Nikolaos Vryzas, Charalampos A. Dimoulas

“…This application facilitates the enjoyable, efficient, and high-quality collection of emotionally tagged speech samples, enhancing the performance and robustness of speech emotion recognition (SER) systems. …”
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Study and Application on Primary Frequency Modulation Capability by Using Comprehensive Energy Storage of a 660 MW Water Heat and Power Cogeneration Supercritical Unit by Shunqing CHEN, Jianping YAN, Yusheng ZHANG

“…The primary frequency modulation capability has met the related requirements and therefore indirectly improved the economic efficiency of the unit.…”
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Driving positive outcomes of financial institutions: corporate social responsibility, employee well-being, and performance in Madagascar by Rakotoarisoa Maminiaina Heritiana Sedera, Mirwan Surya Perdhana, Rakotoarisoa Maminirina Fenitra, Ronaldo Yolanda Putra, Hajaina Ravoaja

“…Thus, banks should actively undertake CSR practices and optimize employee efficiency and human capital through their activities.…”
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A Methodological Approach for Assessing the Interaction Between Rural Landscapes and Built Structures: A Case Study of Winery Architecture in Tuscany, Italy by Stefano Bigiotti, Carlo Costantino, Mariangela Ludovica Santarsiero, Alvaro Marucci

“…The findings present a framework for evaluating landscape systems, demonstrating how passive and advanced strategies enhance eco-efficiency and landscape perception, and adding ethical, aesthetic, and functional value. …”
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