Enabling Responsible Online Gambling by Real-time Persuasive Technologies by George Drosatos, Fotis Nalbadis, Emily Arden-Close, Victoria Baines, Elvira Bolat, Laura Vuillier, Theodoros Kostoulas, Marcin Budka, Sonia Wasowska, Maris Bonello, Jamie Brown, Tessa Corner, John McAlaney, Keith Phalp, Raian Ali

“…Online gambling industry usually offers Application Programming Interfaces (APIs) that are mainly intended to allow third-party applications to interact with their services and enhance user’s experience. …”
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Chemoreactomic analysis of the drug prototype рilim-1 in comparison with zinc derivatives of nonsteroidal anti-inflammatory drugs by P. A. Galenko-Yaroshevsky, I. Y. Torshin, A. N. Gromov, I. A. Reyer, O. A. Gromova, B. A. Trofimov, L. N. Parshina, R. A. Murashko, O. V. Shelemekh, A. V. Zadorozhniy, V. L. Popkov, A. V. Zelenskaya, I. B. Nektarevskaya, A. V. Sergeeva, A. V. Uvarov, Yu. V. Tovkach, I. V. Sholl

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A paradigm for the environmental oncology prevention and treatment base: Lanzhou University (Gansu) Model based on the systematic construction of cross-dimensional integration by Li Yumin, Jing Libaihe, Liu Jie, Zhou Wence, Liu Tao, Huang Xiaojun, Chen Hao, Song Feixue, Huang Zeping

“…The prospects for the promotion and application of the "Lanzhou University Model" are also discussed.…”
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Facilitating remote and virtual access provision by European research infrastructures – requirements, issues, and recommendations [version 2; peer review: 1 approved, 2 approved wi... by Ivan Rodero, Menattallah Elserafy, Michael RAESS, Johanna Bischof, Omran Alhaddad, Ayoub El Ghadraoui, John Dolan, Ulla Lächele, Marco Galeotti, Oguz Ozkan, Xavier Meyer, John Shepherdson, Hannele Savela, Valentina Tegas, Vanessa Spadetto, Alen Vodopijevec, Susanne Vainio, Claudia Alen Amaro, Bonnie Wolff-Boenisch, Annika Thies

“…They provide researchers with advanced tools and resources that go beyond individual or institutional capacities and promote collaboration, community-building and the application of scientific standards. Remote and virtual access to RIs enables scientists to use these essential resources without the necessity of being physically present. …”
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Association of artificial intelligence–predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows by C. Kemel, M. Salamone, B. Aernouts, I. Adriaens, G. Opsomer, P. Hut, M. Hostens

“…ABSTRACT: Data-driven health monitoring based on milk yield has shown potential to identify health-perturbing events during the transition period. …”
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Candidate Sites for Millimeter and Submillimeter Ground-Based Telescopes: Atmospheric Rating for the Eurasian Submillimeter Telescopes Project by Artem Y. Shikhovtsev, Pavel G. Kovadlo, Philippe Baron

“…Many studies seek to effectively characterize water vapor content and dynamics for site-testing purposes regarding ground-based millimeter and submillimeter telescope application. In the present article, we study the water vapor content within a fairly large region, which has been poorly covered in the modern literature. …”
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Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

“…The precision of tree crown detection algorithms plays a critical role in providing reliable data for these applications, where even slight inaccuracies can lead to significant deviations in tree population estimates and ecological indicators. …”
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Comparison of colorimetric and electrochemical (Easy Touch GCU Meter) methods for determination of blood uric acid in clinical practice in patients with gout and hyperuricemia (dat... by M. S. Eliseev, E. V. Panina, O. V. Zheliabina

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Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System by Sean W. Fleming, Karl Rittger, Catalina M. Oaida Taglialatela, Indrani Graczyk

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Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

“…At the watershed scale, ULS data were used to estimate the AGB and vegetation carbon storage of <i>R. pseudoacacia</i> plantations in the Caijiachuan watershed. …”
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Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context by Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja

“…Interpretation: PicEWS outperforms current clinical modelling approaches to predict cardiovascular deterioration. The proposed data processing pipeline and machine learning method offer a clinically applicable decision-support model using age-stratified normal ranges and feature variability over time for the early detection of clinical deterioration in critically ill children. …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…We propose a physics-based RNN model that combines spectral and radiative transfer information from Gaofen satellite imagery with reference bathymetric data from ICESat-2. This methodology includes an adaptive ellipse density-based spatial clustering of applications with noise (AE-DBSCAN) algorithm for ICESat-2 data extraction, which surpasses standard DBSCAN in terms of accuracy. …”
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Calving front positions for 42 key glaciers of the Antarctic Peninsula Ice Sheet: a sub-seasonal record from 2013 to 2023 based on deep-learning application to Landsat multi-spectr... by E. Loebel, E. Loebel, C. A. Baumhoer, A. Dietz, M. Scheinert, M. Horwath

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D-VRE: From a Jupyter-enabled private research environment to decentralized collaborative research ecosystem by Yuandou Wang, Sheejan Tripathi, Siamak Farshidi, Zhiming Zhao

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Landfill methane emission: a case study using inversion methods, satellite and CRDS-based observations by Thaís Andrade da Silva, Izabel Da Silva Andrade, Izabel Da Silva Andrade, Elaine Cristina Araújo, Thaís Corrêa, Thaís Corrêa, Alex Carlos Pellegrinetti Mendes, Flávia Noronha Dutra Ribeiro, Maria de Fátima Andrade, Eduardo Landulfo

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Hierarchical Edge Computing by Ruslan L. Smeliansky

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Federated learning in food research by Zuzanna Fendor, Bas H.M. van der Velden, Xinxin Wang, Andrea Jr. Carnoli, Osman Mutlu, Ali Hürriyetoğlu

“…The use of machine learning in food research is sometimes limited due to data sharing obstacles such as data ownership and privacy requirements. …”
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A review on physics-informed machine learning for monitoring metal additive manufacturing process by Shoulan Yang, Shitong Peng, Jianan Guo, Fengtao Wang

“…The corresponding embedded physical knowledge, either integrated into loss function or data preprocessing, is also summarized for these applications. …”
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Best practices for acceptability of GM crops field trials conclusions: lessons for Africa by Paul Chege, Julia Njagi, John Komen, Godfrey Ngure, John Muriuki, Margaret Karembu

“…Applicability of transported CFT data would be particularly beneficial to the public sector product developers and small enterprises that develop innovative GM events but cannot afford to replicate redundant CFTs, as well as regulatory authorities seeking to improve the deployment of limited resources. …”
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Towards a Decentralized Collaborative Framework for Scalable Edge AI by Ahmed M. Abdelmoniem , Mona Jaber , Ali Anwar , Yuchao Zhang , Mingliang Gao 

“…Nowadays, Edge Intelligence has seen unprecedented growth in most of our daily life applications. Traditionally, most applications required significant efforts into data collection for data-driven analytics, raising privacy concerns. …”
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