Cannabidiol prescribing in the United States: An analysis of real-world data by Binx Yezhe Lin, Chloe Lessard, Yifan Li, Lisa Gong, Ruth Ling, Pallawi Jyotsana, Jacob Steinle, Jacob T. Borodovsky, Fábio A. Nascimento, Kevin Y. Xu

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Detection and Manipulation of Interaction Between Magnetic DyPc2 Molecules and Superconducting Pb(111) Surface by Jie Li, Zhen Xu, Yang He, Qianxi Yang, Haoyang Pan, Yudi Wang, Xin Li, Huamei Chen, Yansong Wang, Wenjie Dong, Shimin Hou, Xiong Zhou, Qian Shen, Song Gao, Kai Wu, Yongfeng Wang, Yajie Zhang

“…Abstract Lanthanide double‐decker phthalocyanine (LnPc2) complexes are highly coveted for their prospective uses in ultrahigh‐density data storage and quantum computing. …”
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Optimizing the single-step model for predicting fumonisins resistance in maize hybrids accounting for the genotype-by-environment interaction by Jeniffer Santana Pinto Coelho Evangelista, Jeniffer Santana Pinto Coelho Evangelista, Kaio Olimpo das Graças Dias, Maria Marta Pastina, Saulo Chaves, Lauro José Moreira Guimarães, Jorge Hidalgo, Julian Garcia-Abadillo, Julian Garcia-Abadillo, Reyna Persa, Valéria Aparecida Vieira Queiroz, Dagma Dionísia da Silva, Leonardo Lopes Bhering, Diego Jarquin

“…We examined different manners to conduct the prediction of FUMO contamination using genomic and pedigree data, and combinations of these two via the single step model (B-matrix) which also offers the possibility of increasing training set sizes. …”
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Design and Calibration of Electron Stack Spectrometer for Diagnosing Hot Electron Temperature in Intense Laser-plasma Interactions by BO Nan1, 2, TIAN Baoxian2, WANG Haoran3, 4, WANG Naiyan2

“…The simulations accounted for electromagnetic interactions, including multiple scattering, ionization, and bremsstrahlung, and were validated against experimental data, showing good agreement. …”
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Clustering Approaches for Mixed-Type Data: A Comparative Study by Badih Ghattas, Alvaro Sanchez San-Benito

“…This study presents the state-of-the-art of these approaches and compares them using various simulation models. The compared methods include the distance-based approaches k-prototypes, PDQ, and convex k-means, and the probabilistic methods KAy-means for MIxed LArge data (KAMILA), the mixture of Bayesian networks (MBNs), and latent class model (LCM). …”
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MECHANISMS OF MANTLE‐CRUST INTERACTION AT DEEP LEVELS OF COLLISION OROGENS (CASE OF THE OLKHON REGION, WEST PRIBAIKALIE) by A. G. Vladimirov, A. S. Mekhonoshin, S. V. Khromykh, E. I. Mikheev, A. V. Travin, N. I. Volkova, T. B. Kolotilina, Yu. A. Davydenko, E. V. Borodina, V. V. Khlestov

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NFTs enabled federated digital identity data representation and management by Memoona Javeria Anwar, Asif Qumer Gill

“…Abstract Digital identity data management is a significant challenge for businesses and individuals who wish to interact online in the increasingly digital economy, government, and society. …”
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Expression Data Analysis to Identify Biomarkers Associated with Asthma in Children by Wen Xu

“…It is usually caused by a combination of complex and incompletely understood environmental and genetic interactions. We obtained gene expression data with high-throughput screening and identified biomarkers of children's asthma using bioinformatics tools. …”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

“…This study aimed to develop a methodological framework for predicting shoreline dynamics using machine learning techniques, focusing on analyzing generalized data without distinguishing areas with higher or lower retreat rates. …”
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Geospatial Data Enrichment through Address Geocoding: Challenges and Solutions by E. Hristov, D. Petrova-Antonova, F. De Paoli, I. Krasteva, M. Ciavotta, R. Avogadro

“…Geospatial data enrichment challenges are explored using the SemTUI framework and QGIS platform. …”
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Efficient Bayesian inference for mechanistic modelling with high-throughput data. by Simon Martina Perez, Heba Sailem, Ruth E Baker

“…Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. …”
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A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities by Franco J Vizeacoumar, Roland Arnold, Frederick S Vizeacoumar, Megha Chandrashekhar, Alla Buzina, Jordan T F Young, Julian H M Kwan, Azin Sayad, Patricia Mero, Steffen Lawo, Hiromasa Tanaka, Kevin R Brown, Anastasia Baryshnikova, Anthony B Mak, Yaroslav Fedyshyn, Yadong Wang, Glauber C Brito, Dahlia Kasimer, Taras Makhnevych, Troy Ketela, Alessandro Datti, Mohan Babu, Andrew Emili, Laurence Pelletier, Jeff Wrana, Zev Wainberg, Philip M Kim, Robert Rottapel, Catherine A O'Brien, Brenda Andrews, Charles Boone, Jason Moffat

“…Abstract Improved efforts are necessary to define the functional product of cancer mutations currently being revealed through large‐scale sequencing efforts. Using genome‐scale pooled shRNA screening technology, we mapped negative genetic interactions across a set of isogenic cancer cell lines and confirmed hundreds of these interactions in orthogonal co‐culture competition assays to generate a high‐confidence genetic interaction network of differentially essential or differential essentiality (DiE) genes. …”
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A cultural heritage data curation framework for knowledge discovery by Ruijie He, Xiaoguang Wang

“… Introduction. Cultural heritage data resources (CHDR) serve as an important foundation for the revitalization of cultural heritage. …”
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Data- and knowledge-derived functional landscape of human solute carriers by Ulrich Goldmann, Tabea Wiedmer, Andrea Garofoli, Vitaly Sedlyarov, Manuel Bichler, Ben Haladik, Gernot Wolf, Eirini Christodoulaki, Alvaro Ingles-Prieto, Evandro Ferrada, Fabian Frommelt, Shao Thing Teoh, Philipp Leippe, Gabriel Onea, Martin Pfeifer, Mariah Kohlbrenner, Lena Chang, Paul Selzer, Jürgen Reinhardt, Daniela Digles, Gerhard F Ecker, Tanja Osthushenrich, Aidan MacNamara, Anders Malarstig, David Hepworth, Giulio Superti-Furga

“…We annotated SLC substrates through literature curation, compiled SLC disease associations using data mining techniques, and determined the subcellular localization of SLCs by combining annotations from public databases with an immunofluorescence imaging approach. …”
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Target Detection and Characterization of Multi-Platform Remote Sensing Data by Koushikey Chhapariya, Emmett Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar

“…Data were collected using a hand-held spectroradiometer, UAV-mounted hyperspectral sensors, and airborne platforms, all within a half-hour time window. …”
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”Ser ni att det är någon som är ledsen här nu?” by Magnus Karlsson

“…Using an ethnomethodological conversation analytical approach examining talk-in-interaction in its’ sequential and social context. …”
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Constraints on self-interaction cross-sections of dark matter in universal bound states from direct detection by G. Angloher, S. Banik, G. Benato, A. Bento, A. Bertolini, R. Breier, C. Bucci, J. Burkhart, E. Cipelli, L. Canonica, A. D’Addabbo, S. Di Lorenzo, L. Einfalt, A. Erb, F. v. Feilitzsch, S. Fichtinger, D. Fuchs, A. Garai, V. M. Ghete, P. Gorla, P. V. Guillaumon, S. Gupta, D. Hauff, M. Ješkovský, J. Jochum, M. Kaznacheeva, A. Kinast, S. Kuckuk, H. Kluck, H. Kraus, A. Langenkämper, M. Mancuso, L. Marini, B. Mauri, L. Meyer, V. Mokina, M. Olmi, T. Ortmann, C. Pagliarone, L. Pattavina, F. Petricca, W. Potzel, P. Povinec, F. Pröbst, F. Pucci, F. Reindl, J. Rothe, K. Schäffner, J. Schieck, S. Schönert, C. Schwertner, M. Stahlberg, L. Stodolsky, C. Strandhagen, R. Strauss, I. Usherov, F. Wagner, V. Wagner, V. Zema, CRESST Collaboration

“…In this work, we set bounds on $$\gamma $$ γ by studying the impact of darkonium on the observations at direct detection experiments using data from CRESST-III and XENON1T. The exclusion limits on $$\gamma $$ γ are then subsequently converted to exclusion limits on the self-interaction cross-section and compared with the constraints from astrophysics and N-body simulations.…”
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Lipid-lowering statins and polyphenol-based supplementation: a scoping review on drug-food interaction potential by Rita Costa, Rita Costa, Rita Costa, Rita Costa, Rita Costa, Carolina Ferreira, Carolina Ferreira, Carolina Ferreira, André Alves, André Alves, André Alves, Sara Nunes, Sara Nunes, Sara Nunes, Sara Nunes, Sara Nunes, Flávio Reis, Flávio Reis, Flávio Reis, João Malva, João Malva, João Malva, Sofia Viana, Sofia Viana, Sofia Viana, Sofia Viana, Sofia Viana

“…Moreover, it remains unclear which key biological targets are shared by both classes of molecules and how they mediate potential pharmacokinetic and pharmacodynamic interactions. This study aims to systematically map reported statin-polyphenol interactions and identify the principal biological targets involved, elucidating their impact on statin pharmacokinetics, efficacy, and toxicity.MethodsA scoping review was conducted using the PubMed/Medline, Scopus, and Web of Science databases. …”
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Demonstration of neutron identification in neutrino interactions in the MicroBooNE liquid argon time projection chamber by The MicroBooNE Collaboration, P. Abratenko, O. Alterkait, D. Andrade Aldana, L. Arellano, J. Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, A. Barnard, G. Barr, D. Barrow, J. Barrow, V. Basque, J. Bateman, O. Benevides Rodrigues, S. Berkman, A. Bhanderi, A. Bhat, M. Bhattacharya, M. Bishai, A. Blake, B. Bogart, T. Bolton, J. Y. Book, M. B. Brunetti, L. Camilleri, Y. Cao, D. Caratelli, F. Cavanna, G. Cerati, A. Chappell, Y. Chen, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadón, R. Cross, M. Del Tutto, S. R. Dennis, P. Detje, R. Diurba, Z. Djurcic, R. Dorrill, K. Duffy, S. Dytman, B. Eberly, P. Englezos, A. Ereditato, J. J. Evans, R. Fine, W. Foreman, B. T. Fleming, D. Franco, A. P. Furmanski, F. Gao, D. Garcia-Gamez, S. Gardiner, G. Ge, S. Gollapinni, E. Gramellini, P. Green, H. Greenlee, L. Gu, W. Gu, R. Guenette, P. Guzowski, L. Hagaman, M. D. Handley, O. Hen, C. Hilgenberg, G. A. Horton-Smith, Z. Imani, B. Irwin, M. S. Ismail, C. James, X. Ji, J. H. Jo, R. A. Johnson, Y.-J. Jwa, D. Kalra, N. Kamp, G. Karagiorgi, W. Ketchum, M. Kirby, T. Kobilarcik, I. Kreslo, N. Lane, J.-Y. Li, Y. Li, K. Lin, B. R. Littlejohn, H. Liu, W. C. Louis, X. Luo, C. Mariani, D. Marsden, J. Marshall, N. Martinez, D. A. Martinez Caicedo, S. Martynenko, A. Mastbaum, I. Mawby, N. McConkey, V. Meddage, J. Mendez, J. Micallef, K. Miller, A. Mogan, T. Mohayai, M. Mooney, A. F. Moor, C. D. Moore, L. Mora Lepin, M. M. Moudgalya, S. Mulleriababu, D. Naples, A. Navrer-Agasson, N. Nayak, M. Nebot-Guinot, C. Nguyen, J. Nowak, N. Oza, O. Palamara, N. Pallat, V. Paolone, A. Papadopoulou, V. Papavassiliou, H. B. Parkinson, S. F. Pate, N. Patel, Z. Pavlovic, E. Piasetzky, K. Pletcher, I. Pophale, X. Qian, J. L. Raaf, V. Radeka, A. Rafique, M. Reggiani-Guzzo, L. Ren, L. Rochester, J. Rodriguez Rondon, M. Rosenberg, M. Ross-Lonergan, I. Safa, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, R. Sharankova, J. Shi, E. L. Snider, M. Soderberg, S. Söldner-Rembold, J. Spitz, M. Stancari, J. St. John, T. Strauss, A. M. Szelc, W. Tang, N. Taniuchi, K. Terao, C. Thorpe, D. Torbunov, D. Totani, M. Toups, A. Trettin, Y.-T. Tsai, J. Tyler, M. A. Uchida, T. Usher, B. Viren, J. Wang, M. Weber, H. Wei, A. J. White, S. Wolbers, T. Wongjirad, M. Wospakrik, K. Wresilo, W. Wu, E. Yandel, T. Yang, L. E. Yates, H. W. Yu, G. P. Zeller, J. Zennamo, C. Zhang

“…We describe the method developed to identify neutrino-induced neutrons and demonstrate its performance using neutrons produced in muon-neutrino charged current interactions. …”
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Optimizing AI-Driven Digital Resources in Vocational English Learning Using Plithogenic n-SuperHyperGraph Structures for Adaptive Content Recommendation by Liang Zhang, Min Huang, Min Huang

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