Structure preserved ordinal unsupervised domain adaptation by Qing Tian, Canyu Sun

“…However, the scenario of ordinal regression (OR) is rarely researched in UDA, and the traditional UDA methods cannot preferably handle OR since they do not preserve the order relationships in data labels, like in human age estimation. To address this issue, we proposed a structure-oriented adaptation strategy, namely, structure preserved ordinal unsupervised domain adaptation (SPODA). …”
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Models of technological development: The influence of investment structure by Vilhelmina V. Glazunova, Oleg S. Sukharev

“…The paper aims to determine the models of technological modernisation according to the structure of investments in “old – new” technologies and develop an algorithm for identifying these models by assessing the relationship between investment and risk. …”
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Soil structure and its relationship with soybean yield by Edwaldo D. Bocuti, Ricardo S. S. Amorim, Kaynara F. L. Kavasaki, Marcelo R. V. Prado, Carlos L. R. Santos, Luis A. Di L. Di Raimo

“…ABSTRACT Soil structure conditions the interaction between the physical-hydraulic, chemical, and biological attributes and determines the potential of soil productivity. …”
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Optimal Design of Welded Structure Using SVM by Sebghatullah Jueyendah, Carlos Humberto Martins

“…Engineers and researchers can develop more efficient, load-resistant, reliable, and cost-effective structures using optimization techniques, Sensitivity Analysis (SA), and support vector machine (SVM) applications. …”
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Vertical Structure of Moisture Content over Europe by Agnieszka Wypych, Bogdan Bochenek

“…The vertical structure of water vapor content in the atmosphere strongly affects the amount of solar radiation reaching the Earth’s surface and processes associated with the formation of clouds and atmospheric precipitation. …”
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ANATOMIC STRUCTURE OF CAMPANULA ROTUNDIFOLIA L. GRASS by V. N. Bubenchikova, E. A. Nikitin

“…Despite its dispersion and application in folk medicine, there are no data about its anatomic structure, therefore to estimate the indices of authenticity and quality of raw materials it is necessary to develop microdiagnostical features in the first place, which could help introducing of thisplant in a medical practice. …”
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Re-Structuring Evaluation Findings into Useful Knowledge by Danielle Houston, Bernadette Wright, Steven E. Wallis

“… Background: A long research stream has shown that when knowledge is more structured it is more likely to be effective in practical application. …”
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Structure of the EphB6 receptor ectodomain. by Emilia O Mason, Yehuda Goldgur, Dorothea Robev, Andrew Freywald, Dimitar B Nikolov, Juha P Himanen

“…Our structural data reveals the overall EphB6-ECD architecture and shows EphB6-LBD/FN3 interactions similar to those observed for the unliganded A class receptors, suggesting that these unusual interactions are of general importance to the Eph group. …”
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On Design and Development of Wood-Concrete Bridge Structure by Vladimir A. Utkin, Pavel N. Kobzev, Evgeny E. Basich, Victoria V. Skiba

“…Further the authors consider the experience of application of bridges with glulam girders and design solutions for the combined timber-concrete span structure. Based on the survey data for the bridges in Omsk region, the authors present the experience of bridge operation and maintenance for structures with board-nail blocks and driveway slab with a cross-laid beams. …”
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Sentence Structure Analysis in Patients with Ischemic Stroke by Janice L. Hinkle, Rudolf Cymorr Kirby P. Martinez

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Transition state structure detection with machine learningś by Yitao Si, Yiding Ma, Tao Yu, Yifan Wu, Yingzhe Liu, Weipeng Lai, Zhixiang Zhang, Jinwen Shi, Liejin Guo, Oleg V. Prezhdo, Maochang Liu

“…Abstract Transition structure calculations via quantum chemistry methods have become a staple in modern chemical reaction research. …”
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INDICATORS OF THE PHYSICAL CONDITION AND DISEASE STRUCTURE IN THE ELDERLY by Вера Александровна Погодина, Анатолий Иванович Бабенко, Анастасия Владимировна Половникова, Евгений Анатольевич Бабенко

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Silkworm segmentation based on encoder-decoder structure by Huimin Zhuang, Zicheng Liu, Jianping Dong, Dequan Guo, Guoquan Yuan, Bo Liu, Yu Liu

“…However, challenges related to data integrity, computing resources sufficiency, and deep learning models deploying. …”
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The risks of internet addiction: Structure and characteristics of perception by G. F. Romashkina, R. R. Khuziakhmetov

“…Under universal transition to an online format, it is important to analyse how parents assess internet risks for their children and themselves.The aim of the present research is to reveal parents’ perceptions of main trends and structural features of children internet addiction.Methodology and research methods. …”
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A novel сalcium trifluoroacetate structure by A. A. Vasilyeva, T. Yu. Glazunova, D. S. Tereshchenko, E. Kh. Lermontova

“…The complex was deposited in the Cambridge Structural Data Bank with a deposit number CCDC 2081186. …”
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Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords by Mouna Garai, Maha Sliti, Noureddine Boudriga, Manel Mrabet, Sarra Ayouni, Abdelrahman Elfikky, Ayman Boghdady, Syed Agha Hassnain Mohsan, Lassaad Ben Ammar

“…This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. …”
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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…Recent developments extend this foundation through higher-order structures, such as hypergraphs, multilayer, and temporal networks, which better capture complex real-world interactions. …”
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Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. …”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
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Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification by Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, M.D. Rakibul Hasan

“…The primary objective is to determine whether converting structured data into text format improves model accuracy. …”
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