Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network by Bo Wang, Qiming Fu, You Lu, Ke Liu

“…However, while data-driven methods have emerged as a crucial method to solving this complex problem, the limited availability of data presents a significant challenge to model training. …”
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Research on a Bone Stick Fragment Stitching Method Based on Improved Corner Detection by Jiahuan Liu, Huiqin Wang, Rui Liu, Ke Wang, Zhan Wang, Ting Wang

“…The stitching of bone stick fragments is of great significance for the inheritance of and research into the outstanding traditional culture of the Western Han Dynasty. Focused on the problem that the existing methods have a low bone stick fragment stitching success rate due to their complex edges, this paper proposes a bone stick fragment stitching method based on improved corner detection, which strengthens the features of broken edges and improves the success rate of stitching. …”
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Water vapour condensation behaviour within hydrogen-blended natural gas in laval nozzles by Shuangjie Yan, Guanwei Jia, Jiang Du, Weiqing Xu

“…Hydrogen-blended natural gas (NG) pipeline network transport is the most effective approach for solving the problem of large-scale hydrogen use. Hydrogen-blended NG that contains water vapour is prone to water vapour condensation when it passes through complex NG pipeline networks, leading to pipeline network failures. …”
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Comprehensive assessment and analysis of urban resilience based on fusion modeling–taking guilin as an example by Liduo Dou, Lanwei Zhu, Yuxin He, Meiqing Wu, Yifei Guo

“…Guilin has long been plagued by frequent floods and droughts, which have caused significant economic losses, and exacerbated the city's development load. …”
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Stochastic Evolutionary Analysis of an Aerial Attack–Defense Game in Uncertain Environments by Shiguang Hu, Le Ru, Bo Lu, Zhenhua Wang, Wenfei Wang, Hailong Xi

“…Aiming at the problem of random environment interference in the process of strategy interaction and the behavioral evolution of an aerial attack–defense game, this paper considers the influence of the difference in the performance and value between both game players in terms of strategy evolution; explores the randomness of the complex battlefield environment, the uncertainty of the behavioral state of game players, and the limitations of the emergent situation; constructs a mathematical model of the stochastic evolution of an aerial-coordinated attack–defense game in uncertain environments; and studies the stability of the strategy interaction and behavioral decision-making process of both players of the aerial attack–defense game. …”
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SiamCTCA: Cross-Temporal Correlation Aggregation Siamese Network for UAV Tracking by Qiaochu Wang, Faxue Liu, Bao Zhang, Jinghong Liu, Fang Xu, Yulong Wang

“…In aerial target-tracking research, complex scenarios place extremely high demands on the precision and robustness of tracking algorithms. …”
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…However, machine learning algorithm-related errors are unsuitable for medical decision-making processes because some data have a much larger sample size in the training set than in other sets. …”
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Glucocorticoid Insensitivity: Is It a Question of Time and Place? by Christopher Lambers, Michael Roth

“…<b>Background:</b> Glucocorticoid insensitivity is a problem for the therapy of chronic inflammatory lung diseases, such as asthma and chronic obstructive pulmonary disease (COPD). …”
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Assessment of the Coefficient of Tension in the Labor Market. Regional Aspect by O. S. Koshevoy

“….Assessing the situation in the labor market of the region, and ultimately forecasting the level of employment and unemployment, is a complex multidimensional  mathematical  problem  that  does not have a reliable and proven solution to date. …”
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A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization by Wei Nai, Zan Yang, Daxuan Lin, Dan Li, Yidan Xing

“…Deep reinforcement learning (DRL), as a state-of-the-art solution method in vehicle path planning, can better balance the ability and complexity of the algorithm to reflect the real situation. …”
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Insight into the main determinants of the struggle against overweight and obesity in Chile: Use of random forest techniques and econometric models. by Francisca Romo-Muñoz, Rodrigo Romo-Muñoz, Sebastián Niklitschek-Soto, Cristhian Aguilera-Carrasco, José M Gil

“…In addition, the results for reviewing nutritional information and reviewing food warnings allow us to reflect on the impact that recent food policies have had on the Chilean population. The combination of RF and an econometric model allowed us to capitalize on the strength of both models to better explain the complex phenomenon of overweight and obesity. …”
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Cell Wall Biosynthesis Genes Variability in Methicillin-Resistant Staphylococcus Aureus with Reduced Vancomycin Susceptibility by V. V. Gostev, O. S. Kalinogorskaya, O. A. Dmitrenko, S'. M. Yudin, A. V. Kudryavtseva, S. V. Sydorenko

“…The formation of such a phenotype is complex and is associated with the accumulation of mutations in the genes involved in the biosynthesis of the cell wall. …”
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The influence of science and technology on the foundation phase policies of the BRICS associate countries: A comparative study by Julia Correia, Deon Vos, Louw De Beer

“…By highlighting the complex factors involved, the study advances the scholarly discourse. …”
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Transcription factor TCF4: structure, function, and associated diseases by R. R. Savchenko, N. A. Skryabin

“…TCF4 can be expressed in various isoforms due to the complex structure and regulation of its gene, which complicates the investigation of the protein’s functions. …”
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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

“…The dynamic reconfiguration of active distribution networks (ADNDR) essentially belongs to a complex high-dimensional mixed-integer nonlinear stochastic optimization problem. …”
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Is it Possible to Successfully Combat Corruption by Scanning Old Rosaries? by A. N. Tsatsulin

“…The article is dedicated to the International Day against Corruption, which is celebrated annually on December 9. Corruption as a  complex socio-economic phenomenon is generated by a variety of  reasons, most of which have already been identified and subjected  to comprehensive analysis. …”
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Technique for Measuring the Internal Diameter and Area of Visible Vessels of the Eye by V. A. Firago, A. I. Kubarko

“…Examples of the construction of histograms of the distribution of the internal diameter and cross-sectional area of these blood vessels are presented.The proposed technique and hardware solutions have the prospect of being used in creating equipment for complex non-invasive diagnostics of the microvasculature and monitoring the effectiveness of treating various diseases of the cardiovascular system, since the conditions of the eye blood vessels correlate with the state of the blood vessels in other organs.…”
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Proposing a Postcritical AI Literacy by Eugenia Stamboliev

“…The problem is that those affected by or discriminated against by AI, as in the Dutch case, have little tools to deal with the opacity of AI as a system, while those who focus on data opacity are shaping the literacy discussion. …”
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Challenges of Carbapenem-Resistant <i>Enterobacteriaceae</i> in the Development of New β-Lactamase Inhibitors and Antibiotics by Pierre Leroux, Charleric Bornet, Jean-Michel Bolla, Anita Cohen

“…Nowadays, antimicrobial resistance (AMR) is a growing global health threat, with carbapenem-resistant <i>Enterobacteriaceae</i> (CRE) posing particular concern due to limited treatment options. In fact, CRE have been classified as a critical priority by the World Health Organization (WHO). …”
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Morphometric analysis of "pancitokeratin-positive" neoplastic lesions of the lymph nodes of the neck by O. V. Poslavska, I. S. Shponka, P. A. Hritsenko, O. A. Alekseenko

“…Such cancers are more often diagnosed between the fifth and seventh decades with a peak incidence in the sixth and remain an actual diagnostic problem. The aim of the work was to investigate the complex of morphological, morphometric and immunohistochemical characteristics of elements of pancitokeratin-positive tumor tissue of metastatic origin in the lymph nodes of the neck for the improvement of diagnostic algorithms. …”
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