Nature Search

Regularized ensemble Kalman inversion for robust and efficient gravity data modeling to identify mineral and ore deposits

Dharma Arung Laby
S. Sungkono
Arkoprovo Biswas
ResearchOpen Access27 Nov 2025
Scientific Reports

Volume: 15, P: 1-31
An ensemble Kalman filter with rescaling disaggregation for assimilating terrestrial water storage into hydrological models

Leire Retegui-Schiettekatte
Maike Schumacher
Ehsan Forootan
ResearchOpen Access06 Aug 2025
Scientific Reports

Volume: 15, P: 1-15
Solar powered integrated multi sensors to monitor inland lake water quality using statistical data fusion technique with Kalman filter

E. B. Priyanka
S. Thangavel
R. Anand
ResearchOpen Access24 Oct 2024
Scientific Reports

Volume: 14, P: 1-21
Integrating Kalman filter noise residue into U-Net for robust image denoising: the KU-Net model

S. Soniya
K. C. Sriharipriya
ResearchOpen Access09 Oct 2024
Scientific Reports

Volume: 14, P: 1-15
Application of Kalman Filter Model in the Landslide Deformation Forecast

Fumin Lu
Huaien Zeng
ResearchOpen Access23 Jan 2020
Scientific Reports

Volume: 10, P: 1-12
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter

Panadda Kongsilp
Unchalisa Taetragool
Orawan Duangphakdee
ResearchOpen Access11 Jan 2024
Scientific Reports

Volume: 14, P: 1-15
Extended Kalman filter algorithm for non-roughness and moving damage identification

Hong-li Ding
Chun Zhang
Jin-peng Huang
ResearchOpen Access19 Dec 2022
Scientific Reports

Volume: 12, P: 1-16
A real-time prediction interval correction method with an unscented Kalman filter for settlement monitoring of a power station dam

Ting Zhou
Yuxin Jie
Hui Chen
ResearchOpen Access11 Mar 2023
Scientific Reports

Volume: 13, P: 1-18
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder

Despite the rapid progress and interest in brain-machine interfaces that restore motor function, the performance of prosthetic fingers and limbs has yet to mimic native function. Here, the authors demonstrate that shallow-layer neural network decoders outperform and enable higher velocity finger movements than the current linear decoding standard.

Matthew S. Willsey
Samuel R. Nason-Tomaszewski
Cynthia A. Chestek
ResearchOpen Access12 Nov 2022
Nature Communications

Volume: 13, P: 1-14
Computational network models for forecasting and control of mental health trajectories in digital applications

Janik Fechtelpeter
Christian Rauschenberg
Georgia Koppe
ResearchOpen Access30 Dec 2025
npj Digital Medicine

Volume: 9, P: 1-10
A sparse wavelength aware learning framework for robust FSO channel estimation

S. Senthilkumar
R. Balakrishnan
T. Senthil Kumar
ResearchOpen Access10 Dec 2025
Scientific Reports

Volume: 16, P: 1-20
A predictive signal model for dynamic cardiac magnetic resonance imaging

Aaron D. Curtis
Alexander J. Mertens
Hai-Ling Margaret Cheng
ResearchOpen Access25 Jun 2023
Scientific Reports

Volume: 13, P: 1-17
Global subsidence of river deltas

Spatially variable surface-elevation changes across 40 global deltas using interferometric synthetic aperture radar are reported.

L. O. Ohenhen
M. Shirzaei
G. C. Yemele
ResearchOpen Access14 Jan 2026
Nature

Volume: 649, P: 894-901
FACED 2.0 enables large-scale voltage and calcium imaging in vivo

FACED 2.0 builds on and expands the capabilities of the free-space angular-chirp-enhanced delay microscopy approach. Its high speed, large field of view and volumetric coverage enable two-photon voltage imaging of hundreds of neurons or calcium imaging of thousands of neurons in the mouse or zebrafish brain.

Jian Zhong
Ryan G. Natan
Na Ji
ResearchOpen Access09 Dec 2025
Nature Methods

P: 1-11
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces

The 300–1,000 Hz band of spiking activity, dominated by local single-unit spikes, can enhance the decoding performance of neural interfaces.

Samuel R. Nason
Alex K. Vaskov
Cynthia A. Chestek
Research27 Jul 2020
Nature Biomedical Engineering

Volume: 4, P: 973-983
Upregulation of reward mesolimbic activity and immune response to vaccination: a randomized controlled trial

Upregulation of the ventral tegmental area via neurofeedback is associated with a stronger immune response to hepatitis B virus vaccination, and VTA upregulation is achieved through conscious positive expectations.

Nitzan Lubianiker
Tamar Koren
Talma Hendler
Research19 Jan 2026
Nature Medicine

P: 1-10
Optimal LQG controller design for inverted pendulum systems using a comprehensive approach

Monika Rani
Sushma S. Kamlu
ResearchOpen Access08 Feb 2025
Scientific Reports

Volume: 15, P: 1-18
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools

Lightning Pose is an efficient pose estimation approach that requires few labeled training data owing to its semi-supervised learning strategy and ensembling.

Dan Biderman
Matthew R. Whiteway
Liam Paninski
Research25 Jun 2024
Nature Methods

Volume: 21, P: 1316-1328
Body sensor networks based on flexible topological clothing

Topological metamaterial clothing based on metallic conductive textiles can be used to create robust biosensing networks on the human body that can monitor vital signs during exercise.

Zhipeng Li
Zhu Liu
Cheng-Wei Qiu
Research05 Jan 2026
Nature Electronics

P: 1-10
A Bayesian approach towards atomically-precise localization in fluorescence microscopy

The authors present DIGIT, a Bayesian imaging method that maps quantum emitters to lattice sites, achieving 0.178 Å precision and a new exponential scaling law, enabling massively parallel, sub-ångström localization in quantum and biological systems.

Yuqin Duan
Qiushi Gu
Dirk R. Englund
ResearchOpen Access21 Oct 2025
Nature Communications

Volume: 16, P: 1-8
Human motor cortex encodes complex handwriting through a sequence of stable neural states

How does the brain encode complex movement sequences? Qi et al. reveal that the brain decomposes sequences into temporal states, each corresponding to a small movement fragment, with motor cortex neurons dynamically altering their encoding across states.

Yu Qi
Xinyun Zhu
Yueming Wang
ResearchOpen Access02 Apr 2025
Nature Human Behaviour

Volume: 9, P: 1260-1271
Fetal gestational age estimation using artificial intelligence on non-targeted ultrasound images and video

Martin Benson
Sacha Walton
Aris T. Papageorghiou
ResearchOpen Access20 Nov 2025
npj Digital Medicine

Volume: 8, P: 1-9
Cortical connectivity, local dynamics and stability correlates of global conscious states

Time-resolved MEG modeling under Xenon anesthesia identifies posterior parietal connectivity and cortical stability as correlates of consciousness, with weaker parietal-occipital and parietal-to-prefrontal links marking reduced responsiveness.

Yun Zhao
Naotsugu Tsuchiya
Levin Kuhlmann
ResearchOpen Access30 Sept 2025
Communications Biology

Volume: 8, P: 1-18
Mid-infrared emissivity of partially dehydrated asteroid (162173) Ryugu shows strong signs of aqueous alteration

Spectral characteristics can be used to link asteroid and meteorite materials. Here, the authors show in-situ mid-infrared data of a boulder on asteroid Ryugu, compared with laboratory spectra of various meteorites, indicate that Ryugu experienced strong aqueous alteration prior to dehydration.

M. Hamm
M. Grott
S. Sugita
ResearchOpen Access18 Jan 2022
Nature Communications

Volume: 13, P: 1-12
Early prediction of lithium-ion battery degradation with a generative pre-trained transformer

The early detection of degradation in lithium-ion batteries is crucial for effective predictive maintenance and recycling. Here, the authors propose a two-stage early-stage degradation prediction method based on GPT to predict the charging data of and state-of-health of batteries

Jincheng Hu
Pengyu Fu
Yuanjian Zhang
ResearchOpen Access05 Dec 2025
Nature Communications

Volume: 17, P: 1-12
Performance evaluation on extended neural network localization algorithm on 5 g new radio technology

Deebalakshmi R
S Markkandan
Vinodh Kumar Arjunan
ResearchOpen Access02 May 2025
Scientific Reports

Volume: 15, P: 1-26
Stabilizing brain-computer interfaces through alignment of latent dynamics

Current intracortical brain-computer interfaces are subject to recording interface instabilities that degrade decoding performance. Here, the authors present a platform for Nonlinear Manifold Alignment with Dynamics (NoMAD), which stabilizes decoding using models of dynamics for at least 3 months.

Brianna M. Karpowicz
Yahia H. Ali
Chethan Pandarinath
ResearchOpen Access19 May 2025
Nature Communications

Volume: 16, P: 1-17
Recent trends in the chemistry of major northern rivers signal widespread Arctic change

Divergent trends in biogeochemical constituents of the six largest rivers in the Arctic from 2003 to 2019 support multi-faceted changes on the Arctic landscape under global environmental change.

Suzanne E. Tank
James W. McClelland
Robert M. Holmes
Research21 Aug 2023
Nature Geoscience

Volume: 16, P: 789-796
Closed-loop two-photon functional imaging in a freely moving animal

Fluorescent calcium imaging reveals the firing patterns of brain cells, but microscopy in behaving animals is challenging due to brain motion. Here, the authors develop a two-photon fluorescent microscope to record from many cells in a brain volume of freely-behaving Drosophila larvae.

Paul McNulty
Rui Wu
and Marc Gershow
ResearchOpen Access01 Jul 2025
Nature Communications

Volume: 16, P: 1-22
Synergistic enhancement of detection-tracking framework for zebrafish shoaling behavior analysis

Chen Chen
Natalia Binti Ali
Youquan Zhao
ResearchOpen Access07 Oct 2025
Scientific Reports

Volume: 15, P: 1-17
Mapping the genetic landscape across 14 psychiatric disorders

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Andrew D. Grotzinger
Josefin Werme
Jordan W. Smoller
ResearchOpen Access10 Dec 2025
Nature

Volume: 649, P: 406-415
A unified AI-driven framework for quantum-secured 6G THz networks with intelligent reflecting surfaces and federated edge learning

C. G. Balaji
S. Menaka
Sivaram Ponnusamy
ResearchOpen Access27 Nov 2025
Scientific Reports

Volume: 15, P: 1-21
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

Two people with long-standing tetraplegia use neural interface system-based control of a robotic arm to perform three-dimensional reach and grasp movements.

Leigh R. Hochberg
Daniel Bacher
John P. Donoghue
Research16 May 2012
Nature

Volume: 485, P: 372-375
Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants

A modularized open-source pipeline for invasive brain signal decoding bridges the gap between closed-loop neuromodulation and clinical brain–computer interface approaches in a large patient cohort.

Timon Merk
Richard M. Köhler
Wolf-Julian Neumann
ResearchOpen Access24 Sept 2025
Nature Biomedical Engineering

P: 1-18
Analytical quaternion-based bias estimation algorithm for fast and accurate stationary gyro-compassing

H. Mohammadkarimi
S. Mozafari
M. H. Alizadeh
ResearchOpen Access09 Jul 2024
Scientific Reports

Volume: 14, P: 1-14
Remaining useful life prediction method of centrifugal pump rolling bearings based on digital twins

ShengWen Zhou
Li Zhang
Wenhui Zeng
ResearchOpen Access04 Jun 2025
Scientific Reports

Volume: 15, P: 1-23
Cell tracking with accurate error prediction

OrganoidTracker 2.0 enables fast and accurate cell tracking in complex systems such as developing organoids. A key aspect of the work is determining cell tracks with error probabilities for any tracking feature, from cell cycles to lineage trees.

Max A. Betjes
Rutger N. U. Kok
Jeroen S. van Zon
ResearchOpen Access08 Oct 2025
Nature Methods

Volume: 22, P: 2400-2410
Multichannel esophageal signals to monitor respiratory rate in preterm infants

Corine Bürgin
Patrizia Simmen
Kerstin Jost
ResearchOpen Access02 Oct 2021
Pediatric Research

Volume: 91, P: 572-580
Online vibration state identification of multi-rigid-body system based on self-healing model

Guoyu Wang
Yang Tian
Kewei Tong
ResearchOpen Access30 Dec 2024
Scientific Reports

Volume: 14, P: 1-12
Hexokinase Activity in Normal and Glucose-6-Phosphate Dehydrogenase-Deficient Erythrocytes

NECHAMA S. KOSOWER
GRACE A. VANDERHOFF
IRVING M. LONDON
Research15 Feb 1964
Nature

Volume: 201, P: 684-685
GrCRA PCRTAM net based hybrid approach for intelligent control and optimal power management in renewable integrated power distribution systems

S. Arulkumar
Mohammad Arif
Amanuel Zewdie
ResearchOpen Access14 Nov 2025
Scientific Reports

Volume: 15, P: 1-22
Keyhole fluctuation and pore formation mechanisms during laser powder bed fusion additive manufacturing

Understanding the keyhole porosity formation is important in laser powder bed fusion. Here the authors reveal the dynamics of keyhole fluctuation, and collapse that induces bubble formation with three main stages of evolution; growth, shrinkage, and being captured by the solidification front.

Yuze Huang
Tristan G. Fleming
Peter D. Lee
ResearchOpen Access04 Mar 2022
Nature Communications

Volume: 13, P: 1-11
Research on high-precision localization method for transport robots in industrial environments based on Improved AMCL and QR code assistance

Siyu Chen
Tingping Feng
Simon X. Yang
ResearchOpen Access20 Feb 2025
Scientific Reports

Volume: 15, P: 1-20
A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation

It has been argued that volcanic eruptions can influence the El Niño Southern Oscillation (ENSO), but the strength of this relationship is not well known. Here, the authors use paleoclimate data assimilation methods to study the linkage over the last millennium and find that there is only a weak association between volcanism and ENSO.

Feng Zhu
Julien Emile-Geay
Jonathan King
ResearchOpen Access08 Feb 2022
Nature Communications

Volume: 13, P: 1-9
The real-world association between digital markers of circadian disruption and mental health risks

Minki P. Lee
Dae Wook Kim
Daniel B. Forger
ResearchOpen Access05 Dec 2024
npj Digital Medicine

Volume: 7, P: 1-15
Slope inspection under dense vegetation using LiDAR-based quadrotors

Slope inspection is crucial for preventing landslide hazards. In this work, authors develop a LiDAR-based quadrotor with assisted obstacle avoidance, achieving efficient slope inspection under dense vegetation.

Wenyi Liu
Yunfan Ren
Fu Zhang
ResearchOpen Access11 Aug 2025
Nature Communications

Volume: 16, P: 1-14
A data-driven digital twin for water ultrafiltration

Jan Kloppenborg Møller & Goran Goranović and colleagues introduce a data-driven twin methodology which balances physical knowledge with uncertainty quantifications. The approach makes it suited to application of real world problems with inherent unknowns. They demonstrate its application in the modelling and control of membrane water ultrafiltration

Jan Kloppenborg Møller
Goran Goranović
Henrik Madsen
ResearchOpen Access30 Sept 2022
Communications Engineering

Volume: 1, P: 1-12
Global spatial risk assessment of sharks under the footprint of fisheries

A global dataset of the satellite-tracked movements of pelagic sharks and fishing fleets show that sharks—and, in particular, commercially important species—have limited spatial refuge from fishing effort.

Nuno Queiroz
Nicolas E. Humphries
David W. Sims
Research24 Jul 2019
Nature

Volume: 572, P: 461-466
Advanced deep learning techniques for automated license plate recognition

Phayung Meesad
Wichan Thumthong
ResearchOpen Access21 Nov 2025
Scientific Reports

Volume: 15, P: 1-23
Intelligent path control of autonomous AGVs in flexible manufacturing systems: a reinforcement learning approach

Siddharth Umakarthikeyan
S. Priyadharshini
ResearchOpen Access24 Dec 2025
Scientific Reports

Volume: 16, P: 1-26

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