Compiling Investment Attractiveness Rating of the Largest Russian Companies Using Minimax Approach by I. Y. Vygodchikova

“…The actuality of the problem of the integrated (complex) assessment of investment attractiveness of large Russian companies is due to the need of increasing production volumes and improves processing technologies of the largest sectors of the Russian economy, as well as the requirements of the accelerated growth of high-tech exports. …”
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The Elephant Ethogram: a library of African elephant behaviour by Joyce Poole, Petter Granli

“…The Elephant Ethogram is an ElephantVoices initiative to document the complex, diverse and nuanced repertoire of behaviour and communication of African savannah elephants (L. africana). …”
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Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

“…RPs represent the behavior of the electrical power system over time series, including short-term variations, demand and RES correlations, and geographic factors, offering feasible computational complexity to solve the MTNEP problem. The proposed model is formulated as a deterministic equivalent mixed-integer linear programming (MILP) model for a set of RPs. …”
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THE ROLE AND SIGNIFICANCE OF COSTEN’S SYNDROME IN DYSFUNCTIONAL CONDITIONS OF THE TEMPOROMANDIBULAR JOINTS by V.F. Makeev, U.D. Telishevska, O.D. Telishevska, M.Yu. Mykhailevych

“… Temporomandibular joint disease (TMJ) is one of the most pressing problems of modern dentistry, on the one hand, the frequency of pathology of the temporomandibular joint, and on the other hand - the complexity of diagnosis. …”
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Alcohol Consumption and Cardiovascular Disease: A Narrative Review of Evolving Perspectives and Long-Term Implications by Ovidiu Stefan Georgescu, Liviu Martin, Georgică Costinel Târtea, Alexandra-Daniela Rotaru-Zavaleanu, Sorin Nicolae Dinescu, Ramona Constantina Vasile, Andrei Gresita, Veronica Gheorman, Madalina Aldea, Venera Cristina Dinescu

“…The etiology of cardiovascular disease is complex and involves several environmental and lifestyle factors. …”
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Real‐Climatic Microcontroller‐in‐the‐Loop (RCMIL) Framework: A Novel, Rapid, and Cost‐Effective Approach for Verifying Photovoltaic Control Systems by Ambe Harrison, Idriss Dagal, Wulfran Fendzi Mbasso, Fritz Nguemo Kemdoum, Reagan Jean Jacques Molu, Hamid Belghiti, Pradeep Jangir

“…ABSTRACT In the search for sustainable energy solutions, photovoltaic (PV) systems have emerged as a primary focus of innovation, attracting substantial worldwide interest in recent decades. …”
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Remote Sensing Drought Monitoring and Assessment in Southwestern China based on Machine Learning by Hejia JIA, Xiehui LI, Lei WANG, Yuting XUE, Huiquan LIN

“…Due to the complexity of drought and the diversity of influencing factors， the accurate monitoring of drought still faces many problems， especially the increasing frequency and aggravation of drought in Southwestern China， and the formation and disaster causing process have certain particularity.However， the traditional drought monitoring methods cannot meet the requirements of regional drought monitoring， so more scientific monitoring methods and means are needed.Since machine learning can comprehensively consider a variety of disaster causing factors to establish a comprehensive drought monitoring model， it undoubtedly provides a new technical means for drought monitoring.Therefore， this paper used multi-source remote sensing data from 2010 -2019 and meteorological station data from 1980-2019 to first construct a random forest monitoring model to reconstruct and supplement the surface temperature in Southwestern China， and then constructed XGBoost monitoring model to monitor， evaluate and validate the drought in Southwestern China.The results showed that： （1） The correlation coefficients between the training set and test set of the random forest model and the actual surface temperature of the stations exceeded 0.9， which reached a significant correlation.The spatial distribution of LST reconstruction values was similar to that of remote sensing monitoring values， and the values were close to the observed values of meteorological stations.（2） The correlation coefficients between the monitoring values of XGBoost model training set and test set and the SPEI calculated values at the stations were more than 0.86， with significant correlation.The overall consistency rate of drought grade between the monitored value and the calculated SPEI values exceeded 85%.（3） The overall consistent rate between the monitored values of the XGBoost model and the MCI values was above 67.88%， which was more consistent.The consistent rate of all months exceeded 58%， with the highest consistent rate of 75.07% in September and the lowest consistent rate of 58.26% in February.（4） The drought in each season monitored by the model was basically consistent with the actual drought， which could better reflect the spatial distribution and drought in Southwestern China.…”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…In the wake of the COVID-19 pandemic, the health care system is facing the dual challenges of a surge in patient numbers and the complexity of mental health issues. AI technology has now been shown to have great promise in improving diagnostic accuracy, assisting clinical decision-making, and simplifying questionnaire development and data analysis. …”
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De la maille au lieu, les catégories territoriales des recensements brésiliens de 1872 à 2010 à l’aune de la géographie de la population by Cathy Chatel

“…In the history of Brazilian censuses, we have identified three types of territorial categories: grid, place, urban/rural division. …”
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Tree species classification using intensity patterns from individual tree point clouds by Andreas Tockner, Ralf Kraßnitzer, Christoph Gollob, Sarah Witzmann, Tim Ritter, Arne Nothdurft

“…However, recent studies assessing tree species labels on single tree point clouds have been insufficiently accurate in complex forest ecosystems; moreover, explainability of machine-learning methods used in published studies has been insufficient. …”
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Quad-Tree-Based Driver Classification Using Deep Learning for Mild Cognitive Impairment Detection by Seyedeh Gol Ara Ghoreishi, Charles Boateng, Sonia Moshfeghi, Muhammad Tanveer Jan, Joshua Conniff, Kwangsoo Yang, Jinwoo Jang, Borko Furht, David Newman, Ruth Tappen, Monica Rosselli, Kelley L. Jackson

“…The QBDC problem is challenging due to the large volume and complexity of the data. …”
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Hydrogeological studies of the Sepidan basin to supply required water from exploiting water wells of the Chadormalu mine utilizing reverse osmosis (RO) method by Pooria Kianoush, Mohammad Reza Mahvi, Nasser Keshavarz Faraj Khah, Ali Kadkhodaie, Behshad Jodeiri Shokri, Shahab Varkouhi

“…Due to the lack of rainfall potential in Central Iran, the water scarcity is still the main problem of production in the country. Accordingly, the use of unconventional waters will be inevitable. …”
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Intimate partner violence and stress-related disorders: from epigenomics to resilience by Anna Carannante, Marco Giustini, Federica Rota, Paolo Bailo, Andrea Piccinini, Andrea Piccinini, Gabriella Izzo, Valentina Bollati, Valentina Bollati, Simona Gaudi

“…According to the World Health Organization, 27% of women worldwide have experienced physical and sexual IPV in their lifetime. …”
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Enhancing Aerodynamic Performance of Horizontal Axis Wind Turbine Blade Aerodynamic Performance Under Rough Wall Condition Using Vortex Generators by Yingjian Yang, Dian Wang, Hairui Zhang, Rongyu Zha, Guangxing Wu, Chang Cai, Jianhua Zhang, Qing’an Li

“…It leads to a decrease and instability in the output power of the horizontal axis wind turbine. Vortex generator have emerged as a potential solution to this problem by regulating the flow patterns on the blade surface. …”
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How Does PM2.5 Impact the Urban Vertical Temperature Structure? A Case Study in Nanjing by Hao Wu, Yang Cao, Tijian Wang, Jiawei You, Tingting Yang, Yawei Qu, Shuqi Yan, Huadong Yang, Xiyu Mu, Libo Gao, Congwu Huang

“…PM2.5 may mask the “warm city” problem and have a more complex impact on the urban climate.…”
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Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance by Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou

“…Deep neural networks (DNNs) have shown remarkable performance in this field thanks to their powerful ability to model the complex background. …”
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Genetics of Wool and Cashmere Fibre: Progress, Challenges, and Future Research by Huitong Zhou, Lingrong Bai, Shaobin Li, Wenhao Li, Jiqing Wang, Jinzhong Tao, Jon G. H. Hickford

“…Wool (sheep) and cashmere (goat) fibres have unique biological, physical, and chemical properties and these fibres are becoming more important as the demand for natural products increases. …”
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Food Cooking Process Modeling With Neural Networks by Javier Fananas-Anaya, Gonzalo Lopez-Nicolas, Carlos Sagues, Sergio Llorente

“…Food cooking process are complex dynamical systems to model. In the state of the art we find that a good solution consists of physics-based finite element models (FEM). …”
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Analysis of the Causes of Urban Sprawl in Iran by keramatollah Ziari, Saeed Zanganeh Shahraki, Negin Rajabzadeh, Mohsen Abbas Nejad Jelogir

“…In recent decades, Iranian cities have experienced significant urban sprawl exacerbated by specific macroeconomic, social, political, and environmental factors, which have, in turn, impacted the social fabric and health of residents (Hosseini & Hosseini, 2014, p. 33). …”
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Wilson’s disease in a child: a difficult path to diagnosis (clinical case) by O.M. Вabadzhanian, O.V. Shutova, N.V. Pavlenko, I.G. Solodovnychenko, K.V. Voloshyn

“…The article presents data on the etiology, pathogenesis and clinical manifestations of Wilson’s disease, and also describes a diagnostically complex clinical case and own observation of a patient with Wilson’s disease. …”
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