Changing approaches to the quality of accounting information: a historical aspect by S.L.

“…Until recently, it was believed that all changes in accounting were due to globalization processes, increasing attention to environmental security, social responsibility, corporate governance. …”
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Minimization of Feedback Loop Distortions in Digital Predistortion of a Radio-Over-Fiber System With Optimization Algorithms by Carlos Mateo, Pedro L. Carro, Paloma Garcia-Ducar, Jesus de Mingo, Inigo Salinas

“…The goal is to carry out the predistortion process in a real scenario, in which the output signals are a few kilometers far from the baseband unit (BBU). …”
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Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…Learning approaches based on support vector machines and artificial neural networks seem to be preferred, with a recent focus on convolutional neural networks. …”
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Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information by Siyu Han, Yanchun Liang, Ying Li, Wei Du

“…More and more studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in diversity of biological process and are also associated with various types of disease. …”
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Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…Firstly, the elements of the Markov Decision Process and action-value function in the model is defined. …”
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High-Fold 3D Gaussian Splatting Model Pruning Method Assisted by Opacity by Shiyu Qiu, Chunlei Wu, Zhenghao Wan, Siyuan Tong

“…Additionally, during the Gaussian parameter compression phase, we employ a combination of teacher–student models and vector quantization to compress the spherical harmonic coefficients. …”
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An Enhanced Retrieval Scheme for a Large Language Model with a Joint Strategy of Probabilistic Relevance and Semantic Association in the Vertical Domain by Qi Chen, Weifeng Zhou, Jian Cheng, Ji Yang

“…To solve these problems, in this study, an enhanced retrieval scheme for LLM processing was developed, named the BM-RAGAM (BM25 retrieval-augmented generation attention mechanism), by constructing a vectorized knowledge base, utilizing a hybrid joint retrieval strategy of keyword matching through searching and a semantic-enhanced association with an attention mechanism and taking ocean-front- and eddy-related knowledge in oceanography as an example. …”
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Evaluation of in-vessel co-composting of yard waste and development of kinetic models for co-composting by K. M. Sangamithirai, J. Jayapriya, J. Hema, Ravi Manoj

“…In addition to that, kinetic models were developed to predict the decomposition rate constant of the process.…”
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Enhanced GIS Methodology for Building-Integrated Photovoltaic Façade Potential Based on Free and Open-Source Tools and Information by Ana Marcos-Castro, Nuria Martín-Chivelet, Jesús Polo

“…This methodology can contribute to the decision-making process for the implementation of BIPV in building façades by aiding in the selection of the areas that are more suitable for PV generation.…”
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Correlation Analysis of External Environment Risk Factors for High-Speed Railway Derailment Based on Unstructured Data by Haixing Wang, Yuanlanduo Tian, Hong Yin

“…Based on the data on unsafe events, this paper utilizes big data processing technology, conducts association rules mining and association degree analysis, extracts the word segmentation, and obtains the feature vector of unsafe fault event data. …”
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Improved Method of Driving Safety Field Modeling by Considering the Abnormal Transfer of Energy Between Vehicles by Huilan Li, Xunjia Zheng, Xiangyang Xu

“…This study presents a Driving Safety Field (DSF) modeling method for quantifying the risks faced by autonomous vehicles, aiming to address the real-time and precise quantification of risks posed by other road participants during the driving process. The proposed modeling method is based on the concept that accidents involve abnormal energy transfer. …”
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Exploring the relationship between data sample size and traffic flow prediction accuracy by Jianhu Zheng, Minghua Wang, Mingfang Huang

“…Real traffic flow data from 13 road sections in Changsha, China, are analyzed using the Decision Tree, Support Vector Machine, Gaussian Process Regression and Artificial Neural Network models. …”
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Inversion of County-Level Farmland Soil Moisture Based on SHAP and Stacking Models by Hui Zhan, Peng Guo, Jiaxin Hao, Jiali Li, Zixu Wang

“…SHAP values derived from the coupled support vector regression (SVR) and random forest regression (RFR) models were used to select an additional six key features for model construction. …”
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Strategic Analysis of Trends in the Labor Market for Older Workers by Y. V. Dudovtseva

“…It is also necessary to pay attention to the specific vector of development of labor market, which is moving towards the automatization of technology and job cuts, which rather complicates the process of introducing the elderly to the labor market. …”
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Vaccination with a live-attenuated small-colony variant improves the humoral and cell-mediated responses against Staphylococcus aureus. by Julie Côté-Gravel, Eric Brouillette, François Malouin

“…Our results suggest that live-attenuated SCVs can trigger host immunity differently than inactivated bacteria and could represent a suitable vector for inducing strong humoral and cell-mediated immune responses, which are crucial for protection. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“…To test its validity, a one-month simulation of the hospital process generated relevant statistics and other key resource utilization influencers. …”
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A 28 GHz Phased-Array Transmitter Based on Doherty Spatial Combining Technique With a Local Sub-Sampling PLL by Itamar Melamed, Avraham Sayag, Emanuel Cohen

“…We implemented the four TX chains on a standard 65 nm bulk-CMOS process, achieving a system efficiency of 7.6<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> at 21 dBm equivalent isotropic radiated power (EIRP), with an error vector magnitude (EVM) of &#x2212;31 dB.…”
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Liver myofibroblasts of murine origins express mesothelin: Identification of novel rat mesothelin splice variants. by Michel Fausther, Elise G Lavoie, Jonathan A Dranoff

“…Liver myofibroblasts are specialized effector cells that drive hepatic fibrosis, a hallmark process of chronic liver diseases, leading to progressive scar formation and organ failure. …”
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Injecting structure-aware insights for the learning of RNA sequence representations to identify m6A modification sites by Yue Yu, Shuang Xiang, Minghao Wu

“…The core innovation of M6A-SAI lies in its ability to incorporate structural information through a multi-step process: initially, the model utilizes a Transformer encoder to learn RNA sequence representations. …”
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Numerical and Experimental Investigation on the Structural Behaviour of a Horizontal Stabilizer under Critical Aerodynamic Loading Conditions by R. Sepe, R. Citarella, A. De Luca, E. Armentani

“…The structural components of such stabilizer are made of composite sandwich panels (HTA 5131/RTM 6) with honeycomb core (HRH-10-1/8-4.0); the sandwich skins have been made by means of Resin Transfer Moulding (RTM) process. In order to assess the mechanical strength of this stabilizer, experimental tests have been performed. …”
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