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. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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).
9. 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.
10. 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.
11. 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).
12. 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.
13. 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.
14. 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).
15. 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.
16. 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.
17. 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.
18. 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.
19. Denizalp Goktas & Jiayi Zhao & Amy Greenwald, 2022. "Robust No-Regret Learning in Min-Max Stackelberg Games," Papers 2203.14126, arXiv.org, revised Apr 2022.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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).
32. 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.
33. 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.
34. 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.
35. 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).
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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).
42. 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.
43. 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.
44. 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.
45. 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).
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. Larissa Samaan & Leonie Klock & Sandra Weber & Mirjam Reidick & Leonie Ascone & Simone Kühn, 2024. "Low-Level Visual Features of Window Views Contribute to Perceived Naturalness and Mental Health Outcomes," IJERPH, MDPI, vol. 21(5), pages 1-35, May.
58. Dennis Bontempi & Leonard Nuernberg & Suraj Pai & Deepa Krishnaswamy & Vamsi Thiriveedhi & Ahmed Hosny & Raymond H. Mak & Keyvan Farahani & Ron Kikinis & Andrey Fedorov & Hugo J. W. L. Aerts, 2024. "End-to-end reproducible AI pipelines in radiology using the cloud," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
59. Vitor Pessoa Colombo & Jérôme Chenal & Brama Koné & Martí Bosch & Jürg Utzinger, 2022. "Using Open-Access Data to Explore Relations between Urban Landscapes and Diarrhoeal Diseases in Côte d’Ivoire," IJERPH, MDPI, vol. 19(13), pages 1-20, June.
60. Christina Rou Hsu & Gaganpreet Sangha & Wayne Fan & Joey Zheng & Kenji Sugioka, 2023. "Contractile ring mechanosensation and its anillin-dependent tuning during early embryogenesis," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
61. Witanowski, Łukasz & Ziółkowski, Paweł & Klonowicz, Piotr & Lampart, Piotr, 2023. "A hybrid approach to optimization of radial inflow turbine with principal component analysis," Energy, Elsevier, vol. 272(C).
62. Nir Moneta & Mona M. Garvert & Hauke R. Heekeren & Nicolas W. Schuck, 2023. "Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
63. Efraín Díaz-Macías & Serafín Moral, 2023. "A Deletion Algorithm for the Marginal Problem in Propositional Logic Based on Boolean Arrays," Mathematics, MDPI, vol. 11(12), pages 1-28, June.
64. Lauren L. Porter & Allen K. Kim & Swechha Rimal & Loren L. Looger & Ananya Majumdar & Brett D. Mensh & Mary R. Starich & Marie-Paule Strub, 2022. "Many dissimilar NusG protein domains switch between α-helix and β-sheet folds," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
65. Emerson Vilar de Oliveira & Dunfrey Pires Aragão & Luiz Marcos Garcia Gonçalves, 2024. "A New Auto-Regressive Multi-Variable Modified Auto-Encoder for Multivariate Time-Series Prediction: A Case Study with Application to COVID-19 Pandemics," IJERPH, MDPI, vol. 21(4), pages 1-19, April.
66. Peter Georgeson & Tabitha A. Harrison & Bernard J. Pope & Syed H. Zaidi & Conghui Qu & Robert S. Steinfelder & Yi Lin & Jihoon E. Joo & Khalid Mahmood & Mark Clendenning & Romy Walker & Efrat L. Amita, 2022. "Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
67. Jules F. Cacho & Jeremy Feinstein & Colleen R. Zumpf & Yuki Hamada & Daniel J. Lee & Nictor L. Namoi & DoKyoung Lee & Nicholas N. Boersma & Emily A. Heaton & John J. Quinn & Cristina Negri, 2023. "Predicting Biomass Yields of Advanced Switchgrass Cultivars for Bioenergy and Ecosystem Services Using Machine Learning," Energies, MDPI, vol. 16(10), pages 1-16, May.
68. Malitha C. Dickwella Widanage & Isha Gautam & Daipayan Sarkar & Frederic Mentink-Vigier & Josh V. Vermaas & Shi-You Ding & Andrew S. Lipton & Thierry Fontaine & Jean-Paul Latgé & Ping Wang & Tuo Wang, 2024. "Adaptative survival of Aspergillus fumigatus to echinocandins arises from cell wall remodeling beyond β−1,3-glucan synthesis inhibition," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
69. Antoine Tonnoir & Ioana Ciotir & Adrian-Liviu Scutariu & Octavian Dospinescu, 2021. "A Model for the Optimal Investment Strategy in the Context of Pandemic Regional Lockdown," Mathematics, MDPI, vol. 9(9), pages 1-12, May.
70. Abuzayed, Anas & Hartmann, Niklas, 2022. "MyPyPSA-Ger: Introducing CO2 taxes on a multi-regional myopic roadmap of the German electricity system towards achieving the 1.5 °C target by 2050," Applied Energy, Elsevier, vol. 310(C).
71. Laura E. Suárez & Agoston Mihalik & Filip Milisav & Kenji Marshall & Mingze Li & Petra E. Vértes & Guillaume Lajoie & Bratislav Misic, 2024. "Connectome-based reservoir computing with the conn2res toolbox," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
72. Tomeu Viver & Roth E. Conrad & Luis M. Rodriguez-R & Ana S. Ramírez & Stephanus N. Venter & Jairo Rocha-Cárdenas & Mercè Llabrés & Rudolf Amann & Konstantinos T. Konstantinidis & Ramon Rossello-Mora, 2024. "Towards estimating the number of strains that make up a natural bacterial population," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
73. Oren Amsalem & Hidehiko Inagaki & Jianing Yu & Karel Svoboda & Ran Darshan, 2024. "Sub-threshold neuronal activity and the dynamical regime of cerebral cortex," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
74. Sandy J. Thomalla & Sarah-Anne Nicholson & Thomas J. Ryan-Keogh & Marié E. Smith, 2023. "Widespread changes in Southern Ocean phytoplankton blooms linked to climate drivers," Nature Climate Change, Nature, vol. 13(9), pages 975-984, September.
75. Matthew Rosenblatt & Link Tejavibulya & Rongtao Jiang & Stephanie Noble & Dustin Scheinost, 2024. "Data leakage inflates prediction performance in connectome-based machine learning models," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
76. Jackie Grant & Mark Hindmarsh & Sergey E. Koposov, 2022. "The distribution of loss to future USS pensions due to the UUK cuts of April 2022," Papers 2206.06201, arXiv.org.
77. Eric D. Morrell & Sarah E. Holton & Matthew Lawrance & Marika Orlov & Zoie Franklin & Mallorie A. Mitchem & Hannah DeBerg & Vivian H. Gersuk & Ashley Garay & Elizabeth Barnes & Ted Liu & Ithan D. Pelt, 2023. "The transcriptional and phenotypic characteristics that define alveolar macrophage subsets in acute hypoxemic respiratory failure," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
78. Amanda A. Volk & Milad Abolhasani, 2024. "Performance metrics to unleash the power of self-driving labs in chemistry and materials science," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
79. François Serra & Andrea Nieto-Aliseda & Lucía Fanlo-Escudero & Llorenç Rovirosa & Mónica Cabrera-Pasadas & Aleksey Lazarenkov & Blanca Urmeneta & Alvaro Alcalde-Merino & Emanuele M. Nola & Andrei L. O, 2024. "p53 rapidly restructures 3D chromatin organization to trigger a transcriptional response," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
80. Ana Matin & Ivan Brandić & Neven Voća & Nikola Bilandžija & Božidar Matin & Vanja Jurišić & Alan Antonović & Tajana Krička, 2023. "Changes in the Properties of Hazelnut Shells Due to Conduction Drying," Agriculture, MDPI, vol. 13(3), pages 1-15, February.
81. Smruti Manjunath & Madhura Yeligeti & Maria Fyta & Jannik Haas & Hans-Christian Gils, 2021. "Impact of COVID-19 on Electricity Demand: Deriving Minimum States of System Health for Studies on Resilience," Data, MDPI, vol. 6(7), pages 1-20, July.
82. Bruno Knevitz Hammerschmitt & Clodomiro Unsihuay-Vila & Jordan Passinato Sausen & Marcelo Bruno Capeletti & Alexandre Rasi Aoki & Mateus Duarte Teixeira & Carlos Henrique Barriquello & Alzenira da Ros, 2024. "Adaptive Charging Simulation Model for Different Electric Vehicles and Mobility Patterns," Energies, MDPI, vol. 17(16), pages 1-21, August.
83. M. Hobiger & M. Hallo & C. Schmelzbach & S. C. Stähler & D. Fäh & D. Giardini & M. Golombek & J. Clinton & N. Dahmen & G. Zenhäusern & B. Knapmeyer-Endrun & S. Carrasco & C. Charalambous & K. Hurst & , 2021. "The shallow structure of Mars at the InSight landing site from inversion of ambient vibrations," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
84. Maren Schnieder & Chris Hinde & Andrew West, 2021. "Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA," IJERPH, MDPI, vol. 18(12), pages 1-21, June.
85. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
86. Anna-Lisa Doebley & Minjeong Ko & Hanna Liao & A. Eden Cruikshank & Katheryn Santos & Caroline Kikawa & Joseph B. Hiatt & Robert D. Patton & Navonil De Sarkar & Katharine A. Collier & Anna C. H. Hoge , 2022. "A framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
87. Francisco Bañuelos-García & Michael Ring & Edgar Mendoza & Rodolfo Silva, 2021. "A Design Procedure for Anchors of Floating Ocean Current Turbines on Weak Rock," Energies, MDPI, vol. 14(21), pages 1-31, November.
88. Sayedali Shetab Boushehri & Katharina Essig & Nikolaos-Kosmas Chlis & Sylvia Herter & Marina Bacac & Fabian J. Theis & Elke Glasmacher & Carsten Marr & Fabian Schmich, 2023. "Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
89. Huihuan Wu & Shuangxia Niu & Weinong Fu, 2022. "Optimal Design of Asymmetric Rotor Pole for Interior Permanent Magnet Synchronous Motor Using Topology Optimization," Energies, MDPI, vol. 15(21), pages 1-15, November.
90. Maximilian Seidel & Natalie Romanov & Agnieszka Obarska-Kosinska & Anja Becker & Nayara Trevisan Doimo de Azevedo & Jan Provaznik & Sankarshana R. Nagaraja & Jonathan J. M. Landry & Vladimir Benes & M, 2023. "Co-translational binding of importins to nascent proteins," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
91. Henry Webel & Lili Niu & Annelaura Bach Nielsen & Marie Locard-Paulet & Matthias Mann & Lars Juhl Jensen & Simon Rasmussen, 2024. "Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
92. Afshin Tatar & Amin Shokrollahi & Abbas Zeinijahromi & Manouchehr Haghighi, 2024. "Deep Learning for Predicting Hydrogen Solubility in n-Alkanes: Enhancing Sustainable Energy Systems," Sustainability, MDPI, vol. 16(17), pages 1-24, August.
93. Chen, Xiao & Zanocco, Chad & Flora, June & Rajagopal, Ram, 2022. "Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation," Applied Energy, Elsevier, vol. 318(C).
94. Chancievan Thangaratnarajah & Mark Nijland & Luís Borges-Araújo & Aike Jeucken & Jan Rheinberger & Siewert J. Marrink & Paulo C. T. Souza & Cristina Paulino & Dirk J. Slotboom, 2023. "Expulsion mechanism of the substrate-translocating subunit in ECF transporters," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
95. Lenhard, Gregor, 2024. "Learning from the Past: The Role of Personal Experiences in Artificial Stock Markets," Working papers 2024/01, Faculty of Business and Economics - University of Basel.
96. Mattia Bernetti & Giovanni Bussi, 2021. "Comparing state-of-the-art approaches to back-calculate SAXS spectra from atomistic molecular dynamics simulations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(9), pages 1-8, September.
97. Purohit, Shantanu & Ng, E.Y.K. & Syed Ahmed Kabir, Ijaz Fazil, 2022. "Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake," Renewable Energy, Elsevier, vol. 184(C), pages 405-420.
98. Gabriele Orlando & Daniele Raimondi & Ramon Duran-Romaña & Yves Moreau & Joost Schymkowitz & Frederic Rousseau, 2022. "PyUUL provides an interface between biological structures and deep learning algorithms," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
99. Kevin M. Dalton & Jack B. Greisman & Doeke R. Hekstra, 2022. "A unifying Bayesian framework for merging X-ray diffraction data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
100. Josh G. Chenoweth & Carlo Colantuoni & Deborah A. Striegel & Pavol Genzor & Joost Brandsma & Paul W. Blair & Subramaniam Krishnan & Elizabeth Chiyka & Mehran Fazli & Rittal Mehta & Michael Considine &, 2024. "Gene expression signatures in blood from a West African sepsis cohort define host response phenotypes," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
101. Pedersen, Tom Ivar & Liu, Xingheng & Vatn, Jørn, 2023. "Maintenance optimization of a system subject to two-stage degradation, hard failure, and imperfect repair," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
102. Bennett, Jeffrey A. & Fitts, Jeffrey P. & Clarens, Andres F., 2022. "Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling," Applied Energy, Elsevier, vol. 325(C).
103. Amalesh Gope & Anusuya Pal & Sekholu Tetseo & Tulika Gogoi & Joanna J & Dinkur Borah, 2024. "Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
104. Yeongseon Park & Michael A. Martin & Katia Koelle, 2023. "Epidemiological inference for emerging viruses using segregating sites," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
105. John O’Donnell & Wencong Su, 2023. "A Stochastic Load Forecasting Approach to Prevent Transformer Failures and Power Quality Issues Amid the Evolving Electrical Demands Facing Utilities," Energies, MDPI, vol. 16(21), pages 1-23, October.
106. Justin J. Boutilier & Timothy C. Y. Chan, 2023. "Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course," INFORMS Transactions on Education, INFORMS, vol. 23(2), pages 64-83, January.
107. Sebastián Sosa-Carrillo & Henri Galez & Sara Napolitano & François Bertaux & Gregory Batt, 2023. "Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
108. June-Woo Kim & Hoon Chung & Ho-Young Jung, 2023. "Spectral Salt-and-Pepper Patch Masking for Self-Supervised Speech Representation Learning," Mathematics, MDPI, vol. 11(15), pages 1-22, August.
109. Zetterholm, Jonas & Mossberg, Johanna & Jafri, Yawer & Wetterlund, Elisabeth, 2022. "We need stable, long-term policy support! — Evaluating the economic rationale behind the prevalent investor lament for forest-based biofuel production," Applied Energy, Elsevier, vol. 318(C).
110. 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).
111. 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.
112. 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.
113. 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.
114. 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.
115. 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.
116. 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.
117. 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.
118. 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.
119. Zhiyuan Yuan, 2024. "MENDER: fast and scalable tissue structure identification in spatial omics data," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
120. 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.
121. 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.
122. 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.
123. 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.
124. 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.
125. 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.
126. 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.
127. 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).
128. 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.
129. 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).
130. 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.
131. 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.
132. 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.
133. 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.
134. 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.
135. 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.
136. 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.
137. Yuanrong Wang & Tomaso Aste, 2022. "Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series," Papers 2203.03991, arXiv.org.
138. 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.
139. 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.
140. 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).
141. 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.
142. 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.
143. 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.
144. 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.
145. 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.
146. 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.
147. 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.
148. 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.
149. 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.
150. 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.
151. 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.
152. 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).
153. 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.
154. Meruza Kubentayeva & Alexander Gasnikov, 2021. "Finding Equilibria in the Traffic Assignment Problem with Primal-Dual Gradient Methods for Stable Dynamics Model and Beckmann Model," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
155. Laurent Caplette & Nicholas B. Turk-Browne, 2024. "Computational reconstruction of mental representations using human behavior," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
156. Cameron Francis Assadian & Francis Assadian, 2023. "Data-Driven Modeling of Appliance Energy Usage," Energies, MDPI, vol. 16(22), pages 1-12, November.
157. Samuel G. Fadel & Sebastian Mair & Ricardo da Silva Torres & Ulf Brefeld, 2023. "Contextual movement models based on normalizing flows," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 51-72, March.
158. Shashank Dadsena & Rodrigo Cuevas Arenas & Gonçalo Vieira & Susanne Brodesser & Manuel N. Melo & Ana J. García-Sáez, 2024. "Lipid unsaturation promotes BAX and BAK pore activity during apoptosis," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
159. Yanlin Zhang & Mathieu Blanchette, 2022. "Reference panel guided topological structure annotation of Hi-C data," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
160. Dominik Kraft & Dag Alnæs & Tobias Kaufmann, 2023. "Domain adapted brain network fusion captures variance related to pubertal brain development and mental health," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
161. Susanne M. Ouellet & Jan Dettmer & Matthew J. Lato & Steve Cole & D. Jean Hutchinson & Martin Karrenbach & Ben Dashwood & Jonathan E. Chambers & Roger Crickmore, 2024. "Previously hidden landslide processes revealed using distributed acoustic sensing with nanostrain-rate sensitivity," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
162. Ivan Brandić & Lato Pezo & Nikola Bilandžija & Anamarija Peter & Jona Šurić & Neven Voća, 2023. "Comparison of Different Machine Learning Models for Modelling the Higher Heating Value of Biomass," Mathematics, MDPI, vol. 11(9), pages 1-14, April.
163. Thebelt, Alexander & Tsay, Calvin & Lee, Robert M. & Sudermann-Merx, Nathan & Walz, David & Tranter, Tom & Misener, Ruth, 2022. "Multi-objective constrained optimization for energy applications via tree ensembles," Applied Energy, Elsevier, vol. 306(PB).
164. Perazzoli, Simone & de Santana Neto, José Pedro & de Menezes, Milton José Mathias Barreto, 2022. "Systematic analysis of constellation-based techniques by using Natural Language Processing," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
165. Andrew H. Salij & Randall H. Goldsmith & Roel Tempelaar, 2024. "Theory predicts 2D chiral polaritons based on achiral Fabry–Pérot cavities using apparent circular dichroism," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
166. Randy L. Parrish & Aron S. Buchman & Shinya Tasaki & Yanling Wang & Denis Avey & Jishu Xu & Philip L. De Jager & David A. Bennett & Michael P. Epstein & Jingjing Yang, 2024. "SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
167. Laura Portell & Sergi Morera & Helena Ramalhinho, 2022. "Door-to-Door Transportation Services for Reduced Mobility Population: A Descriptive Analytics of the City of Barcelona," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
168. Santos, André Vitor & Canavarro, Diogo & Horta, Pedro & Collares-Pereira, Manuel, 2023. "On the comparison of parabolical and cylindrical primary mirrors for linear Fresnel solar concentrators," Renewable Energy, Elsevier, vol. 218(C).
169. Alexander Brown & Nenad Tomasev & Jan Freyberg & Yuan Liu & Alan Karthikesalingam & Jessica Schrouff, 2023. "Detecting shortcut learning for fair medical AI using shortcut testing," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
170. Chuen-Sheng Cheng & Pei-Wen Chen & Yu-Chin Hsieh & Yu-Tang Wu, 2023. "Multivariate Process Control Chart Pattern Classification Using Multi-Channel Deep Convolutional Neural Networks," Mathematics, MDPI, vol. 11(15), pages 1-26, July.
171. Roberto León & Pablo A. Miranda-Gonzalez & Francisco J. Tapia-Ubeda & Elias Olivares-Benitez, 2024. "An Inventory Service-Level Optimization Problem for a Multi-Warehouse Supply Chain Network with Stochastic Demands," Mathematics, MDPI, vol. 12(16), pages 1-20, August.
172. Caroline Haimerl & Douglas A. Ruff & Marlene R. Cohen & Cristina Savin & Eero P. Simoncelli, 2023. "Targeted V1 comodulation supports task-adaptive sensory decisions," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
173. Jonas Bunsen & Matthias Finkbeiner, 2022. "An Introductory Review of Input-Output Analysis in Sustainability Sciences Including Potential Implications of Aggregation," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
174. Gomes, P.F. & Fernandes, H.A. & Costa, A.A., 2022. "Topological transition in a coupled dynamics in random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
175. Daniel Müller-Komorowska & Baris Kuru & Heinz Beck & Oliver Braganza, 2023. "Phase information is conserved in sparse, synchronous population-rate-codes via phase-to-rate recoding," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
176. Istiak Ahmad & Fahad Alqurashi & Ehab Abozinadah & Rashid Mehmood, 2022. "Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation," Sustainability, MDPI, vol. 14(9), pages 1-72, May.
177. Jordy Homing Lam & Aiichiro Nakano & Vsevolod Katritch, 2024. "Scalable computation of anisotropic vibrations for large macromolecular assemblies," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
178. Li, Qian & Zhan, Qi & Yu, Shipeng & Sun, Jianchuang & Cai, Weihua, 2023. "Study on thermal-hydraulic performance of printed circuit heat exchangers with supercritical methane based on machine learning methods," Energy, Elsevier, vol. 282(C).
179. Jamie B. Thompson & Tania Hernández-Hernández & Georgia Keeling & Marilyn Vásquez-Cruz & Nicholas K. Priest, 2024. "Identifying the multiple drivers of cactus diversification," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
180. Jiaqi Zhu & Xavier Salvatella & Paul Robustelli, 2022. "Small molecules targeting the disordered transactivation domain of the androgen receptor induce the formation of collapsed helical states," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
181. Kévin Cortacero & Brienne McKenzie & Sabina Müller & Roxana Khazen & Fanny Lafouresse & Gaëlle Corsaut & Nathalie Acker & François-Xavier Frenois & Laurence Lamant & Nicolas Meyer & Béatrice Vergier &, 2023. "Evolutionary design of explainable algorithms for biomedical image segmentation," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
182. Yiqian Duan & Célio Dias Santos-Júnior & Thomas Sebastian Schmidt & Anthony Fullam & Breno L. S. Almeida & Chengkai Zhu & Michael Kuhn & Xing-Ming Zhao & Peer Bork & Luis Pedro Coelho, 2024. "A catalog of small proteins from the global microbiome," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
183. Avlant Nilsson & Joshua M. Peters & Nikolaos Meimetis & Bryan Bryson & Douglas A. Lauffenburger, 2022. "Artificial neural networks enable genome-scale simulations of intracellular signaling," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
184. Valdemaras Petrosius & Pedro Aragon-Fernandez & Nil Üresin & Gergo Kovacs & Teeradon Phlairaharn & Benjamin Furtwängler & Jeff Op De Beeck & Sarah L. Skovbakke & Steffen Goletz & Simon Francis Thomsen, 2023. "Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
185. Pitchaya Wiratchotisatian & Hoda Atef Yekta & Andrew C. Trapp, 2022. "Stability Representations of Many-to-One Matching Problems: An Integer Optimization Approach," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3325-3343, November.
186. Zhang, Zhiwei & Vo, Dat-Nguyen & Nguyen, Tuan B.H. & Sun, Jinsheng & Lee, Chang-Ha, 2024. "Advanced process integration and machine learning-based optimization to enhance techno-economic-environmental performance of CO2 capture and conversion to methanol," Energy, Elsevier, vol. 293(C).
187. Philipp Brun & Dirk N. Karger & Damaris Zurell & Patrice Descombes & Lucienne C. Witte & Riccardo Lutio & Jan Dirk Wegner & Niklaus E. Zimmermann, 2024. "Multispecies deep learning using citizen science data produces more informative plant community models," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
188. Peter Neher & Dusan Hirjak & Klaus Maier-Hein, 2024. "Radiomic tractometry reveals tract-specific imaging biomarkers in white matter," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
189. Daniel Richards & Thomas R. Etherington & Alexander Herzig & Sandra Lavorel, 2024. "The Importance of Spatial Configuration When Restoring Intensive Production Landscapes for Biodiversity and Ecosystem Service Multifunctionality," Land, MDPI, vol. 13(4), pages 1-21, April.
190. Georgios Fatouros & Georgios Makridis & Dimitrios Kotios & John Soldatos & Michael Filippakis & Dimosthenis Kyriazis, 2023. "DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks," Digital Finance, Springer, vol. 5(1), pages 29-56, March.
191. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
192. Aristeidis Mystakidis & Paraskevas Koukaras & Nikolaos Tsalikidis & Dimosthenis Ioannidis & Christos Tjortjis, 2024. "Energy Forecasting: A Comprehensive Review of Techniques and Technologies," Energies, MDPI, vol. 17(7), pages 1-33, March.
193. Stefan Ungureanu & Vasile Topa & Andrei Cristinel Cziker, 2021. "Analysis for Non-Residential Short-Term Load Forecasting Using Machine Learning and Statistical Methods with Financial Impact on the Power Market," Energies, MDPI, vol. 14(21), pages 1-26, October.
194. Bob Schiffrin & Joel A. Crossley & Martin Walko & Jonathan M. Machin & G. Nasir Khan & Iain W. Manfield & Andrew J. Wilson & David J. Brockwell & Tomas Fessl & Antonio N. Calabrese & Sheena E. Radford, 2024. "Dual client binding sites in the ATP-independent chaperone SurA," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
195. Low, Nicholas Kah Yean & Melatos, Andrew, 2022. "Vacillating about media bias: Changing one’s mind intermittently within a network of political allies and opponents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
196. Kevin E. Wu & Kevin K. Yang & Rianne Berg & Sarah Alamdari & James Y. Zou & Alex X. Lu & Ava P. Amini, 2024. "Protein structure generation via folding diffusion," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
197. Benjamin Wee, 2024. "Comparing MCMC algorithms in Stochastic Volatility Models using Simulation Based Calibration," Papers 2402.12384, arXiv.org.
198. Petros C. Lazaridis & Ioannis E. Kavvadias & Konstantinos Demertzis & Lazaros Iliadis & Lazaros K. Vasiliadis, 2023. "Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences," Sustainability, MDPI, vol. 15(17), pages 1-31, August.
199. Marius Warg Næss & Bård-Jørgen Bårdsen, 2023. "Wealth of nomads – an exploratory analysis of livestock inequality in the Saami reindeer husbandry," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
200. Jose S. Rodriguez & Robert B. Parker & Carl D. Laird & Bethany L. Nicholson & John D. Siirola & Michael L. Bynum, 2023. "Scalable Parallel Nonlinear Optimization with PyNumero and Parapint," INFORMS Journal on Computing, INFORMS, vol. 35(2), pages 509-517, March.
201. Gareth Simons, 2023. "The cityseer Python package for pedestrian-scale network-based urban analysis," Environment and Planning B, , vol. 50(5), pages 1328-1344, June.
202. Rocco D’Amato & Chrysanthi Taxiarchi & Marco Galardini & Alessandro Trusso & Roxana L. Minuz & Silvia Grilli & Alastair G. T. Somerville & Dammy Shittu & Ahmad S. Khalil & Roberto Galizi & Andrea Cris, 2024. "Anti-CRISPR Anopheles mosquitoes inhibit gene drive spread under challenging behavioural conditions in large cages," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
203. Linn E. Moore & Andre Oliveira & Raymond Zhang & Laleh Behjat & Anne Hicks, 2023. "Impacts of Wildfire Smoke and Air Pollution on a Pediatric Population with Asthma: A Population-Based Study," IJERPH, MDPI, vol. 20(3), pages 1-12, January.
204. Iris Irby & Jared T. Broddrick, 2024. "Microbial adaptation to spaceflight is correlated with bacteriophage-encoded functions," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
205. Naziia Kurmasheva & Aida Said & Boaz Wong & Priscilla Kinderman & Xiaoying Han & Anna H. F. Rahimic & Alena Kress & Madalina E. Carter-Timofte & Emilia Holm & Demi Horst & Christoph F. Kollmann & Zhen, 2024. "Octyl itaconate enhances VSVΔ51 oncolytic virotherapy by multitarget inhibition of antiviral and inflammatory pathways," Nature Communications, Nature, vol. 15(1), pages 1-28, December.
206. José M. Cardemil & Ignacio Calderón-Vásquez & Alan Pino & Allan Starke & Ian Wolde & Carlos Felbol & Leonardo F. L. Lemos & Vinicius Bonini & Ignacio Arias & Javier Iñigo-Labairu & Jürgen Dersch & Rod, 2022. "Assessing the Uncertainties of Simulation Approaches for Solar Thermal Systems Coupled to Industrial Processes," Energies, MDPI, vol. 15(9), pages 1-29, May.
207. Adriana Dowbysz & Bożena Kukfisz & Mariola Samsonowicz & Jan Stefan Bihałowicz, 2022. "Determination of the Self-Ignition Behavior of the Accumulation of Sludge Dust and Sludge Pellets from the Sewage Sludge Thermal Drying Station," Energies, MDPI, vol. 16(1), pages 1-15, December.
208. Pullinger, Martin & Zapata-Webborn, Ellen & Kilgour, Jonathan & Elam, Simon & Few, Jessica & Goddard, Nigel & Hanmer, Clare & McKenna, Eoghan & Oreszczyn, Tadj & Webb, Lynda, 2024. "Capturing variation in daily energy demand profiles over time with cluster analysis in British homes (September 2019 – August 2022)," Applied Energy, Elsevier, vol. 360(C).
209. Zachary K. Collier & Minji Kong & Olushola Soyoye & Kamal Chawla & Ann M. Aviles & Yasser Payne, 2024. "Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 49(2), pages 241-267, April.
210. Giulia I. Corsi & Kunli Qu & Ferhat Alkan & Xiaoguang Pan & Yonglun Luo & Jan Gorodkin, 2022. "CRISPR/Cas9 gRNA activity depends on free energy changes and on the target PAM context," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
211. Sora Yoon & Aditi Chandra & Golnaz Vahedi, 2022. "Stripenn detects architectural stripes from chromatin conformation data using computer vision," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
212. Bartul Mimica & Tuçe Tombaz & Claudia Battistin & Jingyi Guo Fuglstad & Benjamin A. Dunn & Jonathan R. Whitlock, 2023. "Behavioral decomposition reveals rich encoding structure employed across neocortex in rats," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
213. William Gregory & Ronald MacEachern & So Takao & Isobel R. Lawrence & Carmen Nab & Marc Peter Deisenroth & Michel Tsamados, 2024. "Scalable interpolation of satellite altimetry data with probabilistic machine learning," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
214. Emilio Esguerra & Felix Hagemeister & Julian Heid & Tim Leffler, 2023. "Accommodation of Right-Wing Populist Rhetoric: Evidence From Parliamentary Speeches in Germany," Rationality and Competition Discussion Paper Series 435, CRC TRR 190 Rationality and Competition.
215. Benjamin Vial & Yang Hao, 2022. "Open-Source Computational Photonics with Auto Differentiable Topology Optimization," Mathematics, MDPI, vol. 10(20), pages 1-18, October.
216. Wout Bittremieux & Nicole E. Avalon & Sydney P. Thomas & Sarvar A. Kakhkhorov & Alexander A. Aksenov & Paulo Wender P. Gomes & Christine M. Aceves & Andrés Mauricio Caraballo-Rodríguez & Julia M. Gaug, 2023. "Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics," Nature Communications, Nature, vol. 14(1), pages 1-15, December.