Deciphering and predicting algal bloom variability using size-fractionated organic matter and machine learning in a complex watershed by Yun Kyung Lee, Haeseong Oh, Bo-Mi Lee, Jin Hur

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Forecasting extremes of football players’ performance in matches by Michał Nowak, Bartosz Bok, Artur Wilczek, Łukasz Oleksy, Mariusz Kamola

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Polyomaviruses and the risk of oral cancer: a systematic review and meta-analysis by Tahoora Mousavi, Fatemeh Shokoohy, Mahmood Moosazadeh

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Plant recognition of maize seedling stage in UAV remote sensing images based on H-RT-DETR by Yunlong Wu, Shouqi Yuan, Lingdi Tang

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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Олена Гавриленко, Михайло Мягкий

“…This makes it possible to conduct a relevant research with the subsequent development of a tool that, if used correctly, will provide users with advisory advice on further actions in relation to the cryptocurrency under study in the system. …”
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Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities by Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, Yakubu Aminu Dodo, Saleh Alhumaid, Ali Hussain Alhamami

“…Urban buildings account for approximately 40% of global energy consumption, making accurate prediction crucial for sustainability goals. This research develops a novel transformer-based deep learning framework for multi-building energy consumption forecasting. …”
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Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and Soybean Emergence Detection by Feng Gao, Martha Anderson, Rasmus Houborg

“…Planet Fusion captured all crop emergences and outperformed other datasets, with a mean difference (MD) of <1 day, a mean absolute difference (MAD) of <5 days, and a root mean square error (RMSE) of <6 days compared to the ground-observed emergence dates. …”
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Prevalence of Female Sexual Dysfunction in Different Pregnancy Trimesters: A Systematic Review and Meta-Analysis by Mina Malary, Mahmood Moosazadeh, Malihe Amerian, Shadi Sabetghadam, Afsaneh Keramat

“…Materials and Methods: This research is a systematic review and meta-analysis. …”
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Mapping of groundwater potential zones of Khordha District using GIS and AHP approaches by Abinash Sahoo, Rupsa Subhadarshini, Falguni Baliarsingh

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Semi-Implicit Numerical Integration of Boundary Value Problems by Maksim Galchenko, Petr Fedoseev, Valery Andreev, Endre Kovács, Denis Butusov

“…Constructing semi-implicit numerical methods of higher-accuracy orders is also of interest for further research.…”
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Applications of artificial intelligence for clusters analysis of Uranium decay via a fractional order discrete model by Hasib Khan, Jehad Alzabut, D.K. Almutairi

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Adolescents’ Digital activity and its Correlation with Cognitive-Emotional Features, School Performance, and Social and Age Factors: Cross-Sectional Study by George A. Karkashadze, Natalia E. Sergeeva, Leyla S. Namazova-Baranova, Elena A. Vishneva, Elena V. Kaytukova, Kamilla E. Efendieva, Tinatin Yu. Gogberashvili, Dmitriy S. Kratko, Safarbegim Kh. Sadilloeva, Marina A. Kurakina, Anastasiya I. Rykunova, Tatiana A. Konstantinidi, Nadezhda A. Ulkina, Daria A. Bushueva, Inessa A. Povalyeva, Leonid M. Yatsyk, Tatiana A. Salimgareeva, Yuliya V. Nesterova, Pavel A. Prudnikov, Natalia S. Sergienko, Margarita A. Soloshenko, Nikita S. Shilko, Yuliya E. Kazantzeva

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An efficient machine learning-enhanced DTCO framework for low-power and high-performance circuit design by Mingyang Liu, Zhengguang Tang, Hailong You, Cong Li, Guangxin Guo, Zeyuan Wang, Linying Zhang, Xingming Liu, Yu Wang, Yong Dai, Geng Bai, Xiaoling Lin

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Empowering rheumatology through digital health technologies: contributions and barriers by Diego Benavent, Loreto Carmona, Jose Francisco García Llorente, María Montoro, Susan Ramirez, Teresa Otón, Estíbaliz Loza, Antonio Gómez-Centeno

“…They can significantly reduce the risk of errors and the workload of rheumatologists, while enhancing communication between physicians and patients, resulting in better quality of care. …”
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Predictive modeling of the mechanical behavior of 3D-printed polylactic acid/wood composite: Comparison of GEP and ANN methods by Abhijit Bhowmik, Raman Kumar, Ranganathaswamy M. K., Y. Karun Kumar, Priyaranjan Samal, Abinash Mahapatro, Abdulaziz N. Alhazaa, Valentin Romanovski, A. Johnson Santhosh

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A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops by C. Cammalleri, M.C. Anderson, N.E. Bambach, A.J. McElrone, K. Knipper, M.C. Roby, G. Ciraolo, D. DeCaro, M. Ippolito, C. Corbari, A. Ceppi, M. Mancini, W.P. Kustas

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Subjective well-being of Kenyan children reunified with families from residential care institutions: A closer look at child disability by Sarah Elizabeth Neville, Joanna Wakia, John Hembling, Beth Bradford, Martin Kiandiko, Michael Ochieng, Edith Apiyo, Khadija Karama, Alividzah Kituku, Maureen Obuya, Missie Oindo, Wilson Ochuka, Indrani Saran, Margaret Lombe, Thomas M. Crea

“…However, very little empirical research has looked at the intersection of child disability and living in residential care in Kenya or elsewhere in Sub-Saharan Africa. …”
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Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform by Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet

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Long-acting injectable biologics: a game-changer in immunopharmacology by Ayat Abdulkhaleq Jawad, Zainab M. Abdulkhaleq, Amjad I. Oraibi, Mostafa Adnan abdalrahman, Haithem N. Abed, Hiba A. Aziz, Sura Sagban Abid Ali, Dhuha Mahdi Al-bahrani, Usama S. Altimari, Mohammed Abed Jawad, Hany Akeel Al-hussaniy

“…Due to its multi-daily oral administration, LAIs offer several advantages, primarily enhanced compliance, better control of plasma levels by avoiding spikes, reduced risk of human error, and the potential for use in cases of psychophysical syndromes. …”
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High-Resolution 3D Geological Modeling of Three-Phase Zone Coexisting Hydrate, Gas, and Brine by Han Yu, Ju Wang, Wei Deng, Zenggui Kuang, Tingwei Li, Zhangshu Lei

“…At present, there exists a significant gap in the research regarding modeling techniques for such reservoirs. …”
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