Array programming with NumPy

Citations

Cited by:

1. W. Jeffrey Johnston & Stefano Fusi, 2023. "Abstract representations emerge naturally in neural networks trained to perform multiple tasks," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
2. Pahl, Cameron C. & Ruedas, Luis A., 2021. "Carnosaurs as Apex Scavengers: Agent-based simulations reveal possible vulture analogues in late Jurassic Dinosaurs," Ecological Modelling, Elsevier, vol. 458(C).
3. Dominika Paliwoda & Grzegorz Mikiciuk & Justyna Chudecka & Tomasz Tomaszewicz & Tymoteusz Miller & Małgorzata Mikiciuk & Anna Kisiel & Lidia Sas-Paszt, 2023. "Effects of Inoculation with Plant Growth-Promoting Rhizobacteria on Chemical Composition of the Substrate and Nutrient Content in Strawberry Plants Growing in Different Water Conditions," Agriculture, MDPI, vol. 14(1), pages 1-33, December.
4. Hadi Vafaii & Francesca Mandino & Gabriel Desrosiers-Grégoire & David O’Connor & Marija Markicevic & Xilin Shen & Xinxin Ge & Peter Herman & Fahmeed Hyder & Xenophon Papademetris & Mallar Chakravarty , 2024. "Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
5. Tan Wang & L. Jeff Hong, 2023. "Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 196-215, January.
6. Xiaofan Jin & Feiqiao B. Yu & Jia Yan & Allison M. Weakley & Veronika Dubinkina & Xiandong Meng & Katherine S. Pollard, 2023. "Culturing of a complex gut microbial community in mucin-hydrogel carriers reveals strain- and gene-associated spatial organization," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
7. Bo Lin & Jian Jiang & Xiao Cheng Zeng & Lei Li, 2023. "Temperature-pressure phase diagram of confined monolayer water/ice at first-principles accuracy with a machine-learning force field," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
8. June-Woo Kim & Hoon Chung & Ho-Young Jung, 2023. "Unsupervised Representation Learning with Task-Agnostic Feature Masking for Robust End-to-End Speech Recognition," Mathematics, MDPI, vol. 11(3), pages 1-17, January.
9. Léon Faure & Bastien Mollet & Wolfram Liebermeister & Jean-Loup Faulon, 2023. "A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
10. Lorenzen, Peter & Alvarez-Bel, Carlos, 2022. "Variable cost evaluation of heating plants in district heating systems considering the temperature impact," Applied Energy, Elsevier, vol. 305(C).
11. Christian Lagares & Guillermo Araya, 2023. "A GPU-Accelerated Particle Advection Methodology for 3D Lagrangian Coherent Structures in High-Speed Turbulent Boundary Layers," Energies, MDPI, vol. 16(12), pages 1-33, June.
12. Claudia Quinteros-Cartaya & Guillermo Solorio-Magaña & Francisco Javier Núñez-Cornú & Felipe de Jesús Escalona-Alcázar & Diana Núñez, 2023. "Microearthquakes in the Guadalajara Metropolitan Zone, Mexico: evidence from buried active faults in Tesistán Valley, Zapopan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 2797-2818, April.
13. Nicolas M. Schmelling & Moritz Bross, 2024. "What is holding back cyanobacterial research and applications? A survey of the cyanobacterial research community," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
14. Yang, Rui & Mohamed, Amira & Kim, Kibum, 2023. "Optimal design and flow-field pattern selection of proton exchange membrane electrolyzers using artificial intelligence," Energy, Elsevier, vol. 264(C).
15. Cheng-Yong Tham & LaiFong Poon & TingDong Yan & Javier Yu Peng Koh & Muhammad Khairul Ramlee & Vania Swee Imm Teoh & Suihan Zhang & Yi Cai & Zebin Hong & Gina S. Lee & Jin Liu & Hai Wei Song & William, 2023. "High-throughput telomere length measurement at nucleotide resolution using the PacBio high fidelity sequencing platform," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
16. Yashvardhan Jain & Leah L. Godwin & Sripad Joshi & Shriya Mandarapu & Trang Le & Cecilia Lindskog & Emma Lundberg & Katy Börner, 2023. "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
17. Cui, Hao & Kertész, János, 2023. "“Born in Rome” or “Sleeping Beauty”: Emergence of hashtag popularity on the Chinese microblog Sina Weibo," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
18. Kenny-Jesús Flores-Huamán & Alejandro Escudero-Santana & María-Luisa Muñoz-Díaz & Pablo Cortés, 2024. "Lead-Time Prediction in Wind Tower Manufacturing: A Machine Learning-Based Approach," Mathematics, MDPI, vol. 12(15), pages 1-34, July.
19. Torlo, Davide & Ricchiuto, Mario, 2023. "Model order reduction strategies for weakly dispersive waves," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 997-1028.
20. Hazal Colak Oz & Çiçek Güven & Gonzalo Nápoles, 2023. "School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach," Journal of Computational Social Science, Springer, vol. 6(1), pages 245-287, April.
21. Rolando Kindelan & José Frías & Mauricio Cerda & Nancy Hitschfeld, 2024. "A topological data analysis based classifier," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 18(2), pages 493-538, June.
22. Furqan Dar & Samuel R. Cohen & Diana M. Mitrea & Aaron H. Phillips & Gergely Nagy & Wellington C. Leite & Christopher B. Stanley & Jeong-Mo Choi & Richard W. Kriwacki & Rohit V. Pappu, 2024. "Biomolecular condensates form spatially inhomogeneous network fluids," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
23. Athanasios Anagnostis & Serafeim Moustakidis & Elpiniki Papageorgiou & Dionysis Bochtis, 2022. "A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling," Energies, MDPI, vol. 15(6), pages 1-24, March.
24. Friederike M. C. Benning & Simon Jenni & Coby Y. Garcia & Tran H. Nguyen & Xuewu Zhang & Luke H. Chao, 2024. "Helical reconstruction of VP39 reveals principles for baculovirus nucleocapsid assembly," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
25. Mina Bagherzade Ghazvini & Miquel Sànchez-Marrè & Davood Naderi & Cecilio Angulo, 2024. "Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile," Energies, MDPI, vol. 17(3), pages 1-20, January.
26. Zhiyuan Yuan, 2024. "MENDER: fast and scalable tissue structure identification in spatial omics data," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
27. Pavel Loginovic & Feiyi Wang & Jiang Li & Lauric Ferrat & Uyenlinh L. Mirshahi & H. Shanker Rao & Axel Petzold & Jessica Tyrrell & Harry D. Green & Michael N. Weedon & Andrea Ganna & Tiinamaija Tuomi , 2024. "Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
28. W. Frank Lenoir & Micaela Morgado & Peter C. DeWeirdt & Megan McLaughlin & Audrey L. Griffith & Annabel K. Sangree & Marissa N. Feeley & Nazanin Esmaeili Anvar & Eiru Kim & Lori L. Bertolet & Medina C, 2021. "Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
29. Frieda A. Sorgenfrei & Jeremy J. Sloan & Florian Weissensteiner & Marco Zechner & Niklas A. Mehner & Thomas L. Ellinghaus & Doreen Schachtschabel & Stefan Seemayer & Wolfgang Kroutil, 2024. "Solvent concentration at 50% protein unfolding may reform enzyme stability ranking and process window identification," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
30. Kushal Kolar & Daniel Dondorp & Jordi Cornelis Zwiggelaar & Jørgen Høyer & Marios Chatzigeorgiou, 2021. "Mesmerize is a dynamically adaptable user-friendly analysis platform for 2D and 3D calcium imaging data," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
31. Kim Long Tran & Hoang Anh Le & Thanh Hien Nguyen & Duc Trung Nguyen, 2022. "Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam," Data, MDPI, vol. 7(11), pages 1-12, November.
32. Paweł Fic & Adam Czornik & Piotr Rosikowski, 2023. "Anomaly Detection for Hydraulic Power Units—A Case Study," Future Internet, MDPI, vol. 15(6), pages 1-29, June.
33. Denizalp Goktas & Jiayi Zhao & Amy Greenwald, 2022. "Robust No-Regret Learning in Min-Max Stackelberg Games," Papers 2203.14126, arXiv.org, revised Apr 2022.
34. T. Cichorek & Ł. Bochenek & J. Juraszek & Yu. V. Sharlai & G. P. Mikitik, 2022. "Detection of relativistic fermions in Weyl semimetal TaAs by magnetostriction measurements," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
35. Timothy F. M. Rodgers & Amanda Giang & Miriam L. Diamond & Emma Gillies & Amandeep Saini, 2023. "Emissions and fate of organophosphate esters in outdoor urban environments," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
36. Linda Karlsson & Jacob Vogel & Ida Arvidsson & Kalle Åström & Shorena Janelidze & Kaj Blennow & Sebastian Palmqvist & Erik Stomrud & Niklas Mattsson-Carlgren & Oskar Hansson, 2024. "Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
37. Guilhem Doulcier & Peter Takacs & Katrin Hammerschmidt & Pierrick Bourrat, 2024. "Stability of ecologically scaffolded traits during evolutionary transitions in individuality," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
38. Amy Clarke & Julia Skerjanz & Mathias A. F. Gsell & Patrick Wiedner & Hazel Erkan-Candag & Klaus Groschner & Thomas Stockner & Oleksandra Tiapko, 2024. "PIP2 modulates TRPC3 activity via TRP helix and S4-S5 linker," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
39. Josie L. Ferreira & Vojtěch Pražák & Daven Vasishtan & Marc Siggel & Franziska Hentzschel & Annika M. Binder & Emma Pietsch & Jan Kosinski & Friedrich Frischknecht & Tim W. Gilberger & Kay Grünewald, 2023. "Variable microtubule architecture in the malaria parasite," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
40. Shukla, Mohak & Thakur, Ajay D., 2022. "An Enquiry on similarities between Renormalization Group and Auto-Encoders using Transfer Learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
41. Vincent Wagner & Nicole Erika Radde, 2021. "SiCaSMA: An Alternative Stochastic Description via Concatenation of Markov Processes for a Class of Catalytic Systems," Mathematics, MDPI, vol. 9(10), pages 1-13, May.
42. Zelaya Mendizábal, Valentina & Boullé, Marc & Rossi, Fabrice, 2023. "Fast and fully-automated histograms for large-scale data sets," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
43. Nina Tiel & Fabian Fopp & Philipp Brun & Johan Hoogen & Dirk Nikolaus Karger & Cecilia M. Casadei & Lisha Lyu & Devis Tuia & Niklaus E. Zimmermann & Thomas W. Crowther & Loïc Pellissier, 2024. "Regional uniqueness of tree species composition and response to forest loss and climate change," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
44. Nikolaos Virtsionis Gkalinikis & Christoforos Nalmpantis & Dimitris Vrakas, 2022. "Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch," Energies, MDPI, vol. 15(7), pages 1-20, April.
45. Fatemeh Mostofi & Vedat Toğan & Yunus Emre Ayözen & Onur Behzat Tokdemir, 2022. "Predicting the Impact of Construction Rework Cost Using an Ensemble Classifier," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
46. Maximilian T. Strauss & Isabell Bludau & Wen-Feng Zeng & Eugenia Voytik & Constantin Ammar & Julia P. Schessner & Rajesh Ilango & Michelle Gill & Florian Meier & Sander Willems & Matthias Mann, 2024. "AlphaPept: a modern and open framework for MS-based proteomics," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
47. Mateo Jesper & Felix Pag & Klaus Vajen & Ulrike Jordan, 2022. "Heat Load Profiles in Industry and the Tertiary Sector: Correlation with Electricity Consumption and Ex Post Modeling," Sustainability, MDPI, vol. 14(7), pages 1-32, March.
48. Zixiao Yin & Ruoyu Ma & Qi An & Yichen Xu & Yifei Gan & Guanyu Zhu & Yin Jiang & Ning Zhang & Anchao Yang & Fangang Meng & Andrea A. Kühn & Hagai Bergman & Wolf-Julian Neumann & Jianguo Zhang, 2023. "Pathological pallidal beta activity in Parkinson’s disease is sustained during sleep and associated with sleep disturbance," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
49. Borofsky, Talia & Feldman, Marcus W. & Ram, Yoav, 2024. "Cultural transmission, competition for prey, and the evolution of cooperative hunting," Theoretical Population Biology, Elsevier, vol. 156(C), pages 12-21.
50. Yanshuo Chen & Yixuan Wang & Yuelong Chen & Yuqi Cheng & Yumeng Wei & Yunxiang Li & Jiuming Wang & Yingying Wei & Ting-Fung Chan & Yu Li, 2022. "Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
51. Arnau Comajuncosa-Creus & Guillem Jorba & Xavier Barril & Patrick Aloy, 2024. "Comprehensive detection and characterization of human druggable pockets through binding site descriptors," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
52. Teodoro Criscione, 2024. "Topological Components in a Community Currency Network," Papers 2409.13674, arXiv.org.
53. Edward Jenkins & Markus Körbel & Caitlin O’Brien-Ball & James McColl & Kevin Y. Chen & Mateusz Kotowski & Jane Humphrey & Anna H. Lippert & Heather Brouwer & Ana Mafalda Santos & Steven F. Lee & Simon, 2023. "Antigen discrimination by T cells relies on size-constrained microvillar contact," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
54. Berke Türkaydin & Marcus Schewe & Elena Barbara Riel & Friederike Schulz & Johann Biedermann & Thomas Baukrowitz & Han Sun, 2024. "Atomistic mechanism of coupling between cytosolic sensor domain and selectivity filter in TREK K2P channels," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
55. López Pérez, Mario & Mansilla Corona, Ricardo, 2022. "Ordinal synchronization and typical states in high-frequency digital markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
56. Matthias Wagener & Andriette Bekker & Mohammad Arashi, 2021. "Mastering the Body and Tail Shape of a Distribution," Mathematics, MDPI, vol. 9(21), pages 1-22, October.
57. Zhanlin Chen & Jeremy Goldwasser & Philip Tuckman & Jason Liu & Jing Zhang & Mark Gerstein, 2022. "Forest Fire Clustering for single-cell sequencing combines iterative label propagation with parallelized Monte Carlo simulations," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
58. Michael Greenacre & Patrick J. F Groenen & Trevor Hastie & Alfonso Iodice d’Enza & Angelos Markos & Elena Tuzhilina, 2023. "Principal component analysis," Economics Working Papers 1856, Department of Economics and Business, Universitat Pompeu Fabra.
59. Taylor W. Webb & Kiyofumi Miyoshi & Tsz Yan So & Sivananda Rajananda & Hakwan Lau, 2023. "Natural statistics support a rational account of confidence biases," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
60. Gustave Ronteix & Shreyansh Jain & Christelle Angely & Marine Cazaux & Roxana Khazen & Philippe Bousso & Charles N. Baroud, 2022. "High resolution microfluidic assay and probabilistic modeling reveal cooperation between T cells in tumor killing," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
61. Giuseppa Ancione & Rebecca Saitta & Paolo Bragatto & Giacomo Fiumara & Maria Francesca Milazzo, 2022. "An Advanced System for the Visualisation and Prediction of Equipment Ageing," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
62. Gallo Cassarino, Tiziano & Barrett, Mark, 2022. "Meeting UK heat demands in zero emission renewable energy systems using storage and interconnectors," Applied Energy, Elsevier, vol. 306(PB).
63. Serra E. Favila & Brice A. Kuhl & Jonathan Winawer, 2022. "Perception and memory have distinct spatial tuning properties in human visual cortex," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
64. Yuanrong Wang & Tomaso Aste, 2022. "Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series," Papers 2203.03991, arXiv.org.
65. Verena Rukes & Mathieu E. Rebeaud & Louis W. Perrin & Paolo De Los Rios & Chan Cao, 2024. "Single-molecule evidence of Entropic Pulling by Hsp70 chaperones," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
66. Amanda A. Volk & Robert W. Epps & Daniel T. Yonemoto & Benjamin S. Masters & Felix N. Castellano & Kristofer G. Reyes & Milad Abolhasani, 2023. "AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
67. Metzger, Philipp & Mendonça, Sandro & Silva, José A. & Damásio, Bruno, 2023. "Battery innovation and the Circular Economy: What are patents revealing?," Renewable Energy, Elsevier, vol. 209(C), pages 516-532.
68. Simon M. Lauer & Maren Reepmeyer & Ole Berendes & Dorota Klepacki & Jakob Gasse & Sara Gabrielli & Helmut Grubmüller & Lars V. Bock & Andor Krizsan & Rainer Nikolay & Christian M. T. Spahn & Ralf Hoff, 2024. "Multimodal binding and inhibition of bacterial ribosomes by the antimicrobial peptides Api137 and Api88," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
69. Gregory Eady & Tom Paskhalis & Jan Zilinsky & Richard Bonneau & Jonathan Nagler & Joshua A. Tucker, 2023. "Exposure to the Russian Internet Research Agency foreign influence campaign on Twitter in the 2016 US election and its relationship to attitudes and voting behavior," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
70. Valeria Fascianelli & Aldo Battista & Fabio Stefanini & Satoshi Tsujimoto & Aldo Genovesio & Stefano Fusi, 2024. "Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
71. Liguori, Antonio & Markovic, Romana & Ferrando, Martina & Frisch, Jérôme & Causone, Francesco & van Treeck, Christoph, 2023. "Augmenting energy time-series for data-efficient imputation of missing values," Applied Energy, Elsevier, vol. 334(C).
72. Péter Dusán Ispánovity & Dávid Ugi & Gábor Péterffy & Michal Knapek & Szilvia Kalácska & Dániel Tüzes & Zoltán Dankházi & Kristián Máthis & František Chmelík & István Groma, 2022. "Dislocation avalanches are like earthquakes on the micron scale," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
73. Akshay J. Maheshwari & Jonathan Calles & Sean K. Waterton & Drew Endy, 2023. "Engineering tRNA abundances for synthetic cellular systems," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
74. Khaled Akkad & David He, 2023. "A dynamic mode decomposition based deep learning technique for prognostics," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2207-2224, June.
75. Qinghan Sun & Huan Ma & Tian Zhao & Yonglin Xin & Qun Chen, 2024. "Break down the decentralization-security-privacy trilemma in management of distributed energy systems," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
76. L. Mathur & B. Szalai & N. H. Du & R. Utharala & M. Ballinger & J. J. M. Landry & M. Ryckelynck & V. Benes & J. Saez-Rodriguez & C. A. Merten, 2022. "Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
77. Wang, Shikun & Li, Zhao & Lan, Lan & Zhao, Jieyi & Zheng, W. Jim & Li, Liang, 2022. "GPU accelerated estimation of a shared random effect joint model for dynamic prediction," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
78. Zejia Liu & Zigui Zhang & Peifeng Xie & Zibo Miao, 2022. "Design of Selective TPV Thermal Emitters Based on Bayesian Optimization Nesting Simulated Annealing," Energies, MDPI, vol. 16(1), pages 1-16, December.
79. Janik Sielemann & Donat Wulf & Romy Schmidt & Andrea Bräutigam, 2021. "Local DNA shape is a general principle of transcription factor binding specificity in Arabidopsis thaliana," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
80. Maren Schnieder, 2023. "Ebike Sharing vs. Bike Sharing: Demand Prediction Using Deep Neural Networks and Random Forests," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
81. Jinning Wang & Fangxing Li & Hantao Cui & Qingxin Shi & Trey Mingee, 2022. "Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
82. Taylor Webb & Shuhao Fu & Trevor Bihl & Keith J. Holyoak & Hongjing Lu, 2023. "Zero-shot visual reasoning through probabilistic analogical mapping," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
83. Raviola, Lisandro A. & De Leo, Mariano F., 2024. "Performance of affine-splitting pseudo-spectral methods for fractional complex Ginzburg-Landau equations," Applied Mathematics and Computation, Elsevier, vol. 466(C).
84. Craig A. Magaret & Li Li & Allan C. deCamp & Morgane Rolland & Michal Juraska & Brian D. Williamson & James Ludwig & Cindy Molitor & David Benkeser & Alex Luedtke & Brian Simpkins & Fei Heng & Yanqing, 2024. "Quantifying how single dose Ad26.COV2.S vaccine efficacy depends on Spike sequence features," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
85. Yann Vanrobaeys & Zeru J. Peterson & Emily. N. Walsh & Snehajyoti Chatterjee & Li-Chun Lin & Lisa C. Lyons & Thomas Nickl-Jockschat & Ted Abel, 2023. "Spatial transcriptomics reveals unique gene expression changes in different brain regions after sleep deprivation," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
86. Amin Shokrollahi & Afshin Tatar & Abbas Zeinijahromi, 2024. "Advancing CO 2 Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage," Sustainability, MDPI, vol. 16(17), pages 1-26, August.
87. Cédric Simar & Robin Petit & Nichita Bozga & Axelle Leroy & Ana-Maria Cebolla & Mathieu Petieau & Gianluca Bontempi & Guy Cheron, 2022. "Riemannian classification of single-trial surface EEG and sources during checkerboard and navigational images in humans," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-22, January.
88. Robert M. Kent & Wendson A. S. Barbosa & Daniel J. Gauthier, 2024. "Controlling chaos using edge computing hardware," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
89. Ghada Abdulrahman Najjar & Khaled Akkad & Ahdab Hashim Almahdaly, 2023. "Classification of Lighting Design Aspects in Relation to Employees’ Productivity in Saudi Arabia," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
90. Romain Fournier & Zoi Tsangalidou & David Reich & Pier Francesco Palamara, 2023. "Haplotype-based inference of recent effective population size in modern and ancient DNA samples," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
91. Bernd Accou & Lies Bollens & Marlies Gillis & Wendy Verheijen & Hugo Van hamme & Tom Francart, 2024. "SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants," Data, MDPI, vol. 9(8), pages 1-18, July.
92. Allen K. Ting & Javier E. Santos & Eric Guiltinan, 2022. "Using Machine Learning to Predict Multiphase Flow through Complex Fractures," Energies, MDPI, vol. 15(23), pages 1-15, November.
93. Maren Schnieder, 2024. "Visualising Carrier Consolidation and Alternative Delivery Locations: A Digital Model of Last-Mile Delivery in England and Wales," Logistics, MDPI, vol. 8(3), pages 1-14, August.
94. Evan Elderbrock & Kory Russel & Yekang Ko & Elizabeth Budd & Lilah Gonen & Chris Enright, 2024. "Evaluating Urban Green Space Inequity to Promote Distributional Justice in Portland, Oregon," Land, MDPI, vol. 13(6), pages 1-25, May.
95. Janik B. Hedderich & Margherita Persechino & Katharina Becker & Franziska M. Heydenreich & Torben Gutermuth & Michel Bouvier & Moritz Bünemann & Peter Kolb, 2022. "The pocketome of G-protein-coupled receptors reveals previously untargeted allosteric sites," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
96. Mario L'opez P'erez & Ricardo Mansilla, 2021. "Ordinal Synchronization and Typical States in High-Frequency Digital Markets," Papers 2110.07047, arXiv.org, revised Mar 2022.
97. Maren Schnieder & Chris Hinde & Andrew West, 2022. "Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
98. Ochoa, Rigoberto García & Avila-Ortega, Daniel Itzamna & Cravioto, Jordi, 2022. "Energy services' access deprivation in Mexico: A geographic, climatic and social perspective," Energy Policy, Elsevier, vol. 164(C).
99. Melih Yilmaz & William E. Fondrie & Wout Bittremieux & Carlo F. Melendez & Rowan Nelson & Varun Ananth & Sewoong Oh & William Stafford Noble, 2024. "Sequence-to-sequence translation from mass spectra to peptides with a transformer model," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
100. Kiya W. Govek & Patrick Nicodemus & Yuxuan Lin & Jake Crawford & Artur B. Saturnino & Hannah Cui & Kristi Zoga & Michael P. Hart & Pablo G. Camara, 2023. "CAJAL enables analysis and integration of single-cell morphological data using metric geometry," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
101. Jessica M. Vanslambrouck & Sean B. Wilson & Ker Sin Tan & Ella Groenewegen & Rajeev Rudraraju & Jessica Neil & Kynan T. Lawlor & Sophia Mah & Michelle Scurr & Sara E. Howden & Kanta Subbarao & Melissa, 2022. "Enhanced metanephric specification to functional proximal tubule enables toxicity screening and infectious disease modelling in kidney organoids," Nature Communications, Nature, vol. 13(1), pages 1-23, December.
102. Kiran Krishnamachari & Dylan Lu & Alexander Swift-Scott & Anuar Yeraliyev & Kayla Lee & Weitai Huang & Sim Ngak Leng & Anders Jacobsen Skanderup, 2022. "Accurate somatic variant detection using weakly supervised deep learning," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
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