Communications engineering最新文献_第7页

Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks. 用于探测分层模块化神经网络中自发功能恢复的微流控平台。

IF 7

Communications engineering Pub Date : 2026-05-18 DOI: 10.1038/s44172-026-00686-5

Keita Watanabe, Hideaki Yamamoto, Takuma Sumi, Hakuba Murota, Hironobu Osaki, Kenshiro Kawamoto, Teppei Matsui, Yoshito Masamizu, Shigeo Sato, Ayumi Hirano-Iwata

{"title":"Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks.","authors":"Keita Watanabe, Hideaki Yamamoto, Takuma Sumi, Hakuba Murota, Hironobu Osaki, Kenshiro Kawamoto, Teppei Matsui, Yoshito Masamizu, Shigeo Sato, Ayumi Hirano-Iwata","doi":"10.1038/s44172-026-00686-5","DOIUrl":"10.1038/s44172-026-00686-5","url":null,"abstract":"The inherent capacity to flexibly reorganize after injury is a hallmark of brain networks, with recent studies suggesting that the functional consequences of damage are strongly influenced by the network's nonrandom connectivity. However, experimental platforms that enable bottom-up investigations of the structure-function relationships underlying damage and recovery processes remain limited. Here, we used polydimethylsiloxane microfluidic devices to construct hierarchically modular neuronal networks that mimic the topological features of the mammalian cortex. Laser microdissection was employed to selectively sever intermodular connections, enabling controlled damage to either hub or peripheral connections. Damage to hub connections leads to delayed recovery, requiring more than three days for correlations to re-emerge. Contrarily, peripheral damage resulted in faster recovery. Repeated injury to neuronal networks further revealed that recovery occurs through both new pathway formation and restoration of originals. These findings provide mechanistic insights into the intrinsic self-repair capacity of living neuronal networks.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13478623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147977497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease. N2G校准器：帕金森病神经信号驱动步态跟踪的跨学科对抗性学习框架。

IF 7

Communications engineering Pub Date : 2026-05-18 DOI: 10.1038/s44172-026-00688-3

Jin Woo Choi, Helen M Bronte-Stewart

{"title":"N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease.","authors":"Jin Woo Choi, Helen M Bronte-Stewart","doi":"10.1038/s44172-026-00688-3","DOIUrl":"10.1038/s44172-026-00688-3","url":null,"abstract":"Adaptive deep brain stimulation (aDBS) has enabled machine learning models to track motor states from neural signals with improved accuracy, aiming to provide electrical stimulation accordingly. Such data-driven techniques necessitate extensive user-specific, synchronized kinematic and neural data collection involving repetitive tasks and additional sensors to quantify continuous movements, due to variations in neural signals among individuals. In this study, we introduce the Neural-to-Gait Calibrator Framework (N2GCF), a cross-subject deep learning framework that leverages collective neural data to track gait performance of users with Parkinson's disease. Our framework utilizes domain adversarial learning to map a target user's unlabeled neural features with labeled data from other individuals, removing the need for synchronous gait recording systems thereby allowing personalized model calibration outside equipped clinical settings. The framework's ability was demonstrated through a significant reduction in error rates compared to models trained with data from other individuals without calibration, with its architecture achieving performance comparable to that of models trained directly with labeled target data. Our N2GCF provides an effective biomarker reflecting gait performance for aDBS systems despite being trained with only unlabeled neural signals for the target, enabling the model to be established in any location where stepping in place can be performed.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13443168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147977571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beyond 350 GHz: Single-channel 112 Gbps photonic wireless transmission at 560 GHz using soliton microcombs. 超过350 GHz：使用孤子微梳在560 GHz下进行单通道112 Gbps光子无线传输。

IF 7

Communications engineering Pub Date : 2026-05-18 DOI: 10.1038/s44172-026-00659-8

Yu Tokizane, Hiroki Kishikawa, Takumi Kikuhara, Miezel Talara, Yoshihiro Makimoto, Kodai Yamaji, Yasuhiro Okamura, Kenji Nishimoto, Eiji Hase, Isao Morohashi, Atsushi Kanno, Shintaro Hisatake, Naoya Kuse, Tadao Nagatsuma, Takeshi Yasui

{"title":"Beyond 350 GHz: Single-channel 112 Gbps photonic wireless transmission at 560 GHz using soliton microcombs.","authors":"Yu Tokizane, Hiroki Kishikawa, Takumi Kikuhara, Miezel Talara, Yoshihiro Makimoto, Kodai Yamaji, Yasuhiro Okamura, Kenji Nishimoto, Eiji Hase, Isao Morohashi, Atsushi Kanno, Shintaro Hisatake, Naoya Kuse, Tadao Nagatsuma, Takeshi Yasui","doi":"10.1038/s44172-026-00659-8","DOIUrl":"10.1038/s44172-026-00659-8","url":null,"abstract":"Sixth-generation (6 G) back-haul links will require terahertz (THz) carriers above 350 GHz to escape the congested 300 GHz band and support >100 Gbps data rates. Photonic THz transmitters have so far remained below 350 GHz because high-frequency photomixing suffers from phase noise and power limits. Here we demonstrate single-channel wireless transmission at 560 GHz using a fibre-packaged silicon-nitride soliton microcomb as a compact, low-phase-noise optical reference. A high numerical aperture, UV-bonded fibre interface sustains soliton operation for more than 24 hours with 1 W pump power. We phase-lock two distributed-feedback lasers (DFBs) to adjacent comb lines and photomix them in a uni-traveling-carrier photodiode, generating a 560 GHz carrier that bears in-phase and quadrature modulation. We achieve hard-decision forward-error-correction-qualified quadrature phase-shift keying and 16-quadrature amplitude modulation (16QAM) transmissions at 42 and 28 GBaud, respectively, attaining a record 112 Gbps data rate at 560 GHz. Relative to free-running DFBs, microcomb-locked photomixing cuts carrier linewidth and improves 16QAM error-vector magnitude. The results establish soliton microcombs as compact and scalable frequency references for >100 Gbps sub-THz links and chart a path toward compact 6 G back-haul radios.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"5 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13184255/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147977537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Industry-academia interface: how to build industry-university partnerships with Mark Jefferies. 产学界面：如何与Mark Jefferies建立产学合作伙伴关系。

Communications engineering Pub Date : 2026-05-15 DOI: 10.1038/s44172-026-00683-8

引用次数: 0

Long-range near-surface wake signatures of offshore wind farm clusters revealed by satellite observations. 卫星观测揭示的海上风电场群的远程近地表尾流特征。

IF 7

Communications engineering Pub Date : 2026-05-15 DOI: 10.1038/s44172-026-00684-7

Rui Li, Jincheng Zhang, Xiaowei Zhao

{"title":"Long-range near-surface wake signatures of offshore wind farm clusters revealed by satellite observations.","authors":"Rui Li, Jincheng Zhang, Xiaowei Zhao","doi":"10.1038/s44172-026-00684-7","DOIUrl":"10.1038/s44172-026-00684-7","url":null,"abstract":"Wind energy has expanded rapidly in recent years, leading to increasingly dense clusters of offshore wind farms. As a result, wind farm wake effects, manifested as reduced wind speeds downstream of operating turbines, have become an important consideration for wind resource assessment and large-scale planning. Here we investigate near-surface wake signatures using wind speeds retrieved from 7122 Sentinel-1A/B synthetic aperture radar (SAR) images acquired between 2020 and 2022, covering more than 60 offshore wind farms across Europe and Asia. A consistent processing workflow and an automated wake-detection algorithm are applied to identify wake-affected regions and quantify wake-related wind speed changes at 10 m height. The results show that near-surface wake signatures can persist over distances exceeding 100 km under favorable conditions and that wake-affected regions exhibit an average wind speed reduction of 0.990 m/s (12.4%) at 10 m height. Several cases of wake interactions extending across national boundaries are also observed in densely developed offshore regions. These findings provide a large-scale, observation-based characterization of near-surface wind farm wake signatures.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13429631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147950389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification and diagnosis of flow instability in parallel channel systems using machine learning. 基于机器学习的并行通道系统流动不稳定性识别与诊断。

IF 7

Communications engineering Pub Date : 2026-05-15 DOI: 10.1038/s44172-026-00690-9

Cheng Peng, Xingchen Wang, Runxin Tian, Jiang Wu, Jian Deng

{"title":"Identification and diagnosis of flow instability in parallel channel systems using machine learning.","authors":"Cheng Peng, Xingchen Wang, Runxin Tian, Jiang Wu, Jian Deng","doi":"10.1038/s44172-026-00690-9","DOIUrl":"10.1038/s44172-026-00690-9","url":null,"abstract":"Density wave oscillations in parallel thermal-fluid systems threaten operational safety due to uneven flow and instability. Predicting these oscillations is a critical challenge for both forced and natural circulation systems. Here, we demonstrate an intelligent framework that accurately identifies such hazardous states. We combine numerical modeling of open and closed circulation systems with a hybrid method integrating Genetic Algorithm (GA) optimization and K-Nearest Neighbors (KNN) classification. For open systems, we map oscillation patterns across a wide operational space. For closed systems, we efficiently pinpoint DWO-sensitive regions. Our results show that the flow state recognition method, validated against manual and signal analysis, achieves an overall accuracy of 99.19%. Furthermore, GA-optimization of the KNN model achieved 96.4-100% accuracy with superior blind-test generalization, while spatial non-uniformity of heat load distribution critically governs instability patterns, informing differentiated safety strategies. This confirms the framework's effectiveness and reliability for practical engineering applications.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13434685/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147950349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An autonomous intelligent mosquito sentinel for field-deployed surveillance. 用于现场部署监视的自主智能蚊子哨兵。

IF 7

Communications engineering Pub Date : 2026-05-14 DOI: 10.1038/s44172-026-00685-6

Nuofei Lin, Yixiang Qian, Li Wei, Bo Dai, Heng Peng, Yajun Ma, Songlin Zhuang, Dawei Zhang

{"title":"An autonomous intelligent mosquito sentinel for field-deployed surveillance.","authors":"Nuofei Lin, Yixiang Qian, Li Wei, Bo Dai, Heng Peng, Yajun Ma, Songlin Zhuang, Dawei Zhang","doi":"10.1038/s44172-026-00685-6","DOIUrl":"10.1038/s44172-026-00685-6","url":null,"abstract":"Mosquito-borne diseases pose a major public health challenge and require effective, scalable surveillance to guide targeted interventions. Existing monitoring techniques, ranging from manual morphological identification to acoustic, optical, and spectroscopic sensing, remain constrained by environmental sensitivity, labor demands, and limited ground-truth validation. Here, we present a fully autonomous, field-deployable platform, called automated intelligent mosquito sentinel (AIMS), integrating distributed mosquito monitoring outposts (MMOs) and a centralized analysis center (AC) for scalable, non-invasive mosquito surveillance. AIMS employs an adaptive event-triggering mechanism, optimized through feature engineering of colour and texture pairs, to enable energy-efficient detection with zero missed events and a false-positive rate below 1%. At the analytical level, a hierarchical gated residual network performs multitask classification of taxonomy and sex with accuracies of 99.51% at species and 98.02% for sex, demonstrating interpretable, biologically meaningful attention patterns. The self-powered architecture, robust wireless data transmission, and large-scale field dataset underpin reliable operation across diverse ecological settings. Together, these results show that AIMS can support scalable and sustainable mosquito surveillance and may also be useful for broader entomological monitoring and public health applications.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13408135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147943957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital methods to quantify sensor output uncertainty in real time. 实时量化传感器输出不确定度的数字方法。

IF 7

Communications engineering Pub Date : 2026-05-13 DOI: 10.1038/s44172-026-00679-4

Orestis Kaparounakis, Phillip Stanley-Marbell

{"title":"Digital methods to quantify sensor output uncertainty in real time.","authors":"Orestis Kaparounakis, Phillip Stanley-Marbell","doi":"10.1038/s44172-026-00679-4","DOIUrl":"10.1038/s44172-026-00679-4","url":null,"abstract":"Modern data-driven applications that make real-time decisions increasingly depend on advanced sensors which use pre-stored calibration data. In such applications, accurate characterization of sensor output uncertainty is important for reliable data interpretation. Here, we present a method for real-time on-device dynamic uncertainty quantification for sensor outputs which depend on pre-stored calibration data. We show how sensor calibration compensation equations (essential in advanced sensing systems) propagate uncertainties resulting from the quantization of calibration parameters to the sensor output. We use a low-cost thermal sensor as a motivating example and show these ideas are practical and possible on actual embedded sensor systems by prototyping them on two commercially-available uncertainty-tracking hardware platforms with average power dissipation 16.7 mW and 147.15 mW. These achieve 42.9× and 94.4× speedup compared to the equal-accuracy Monte Carlo computation (the status quo). We present a proof-of-usefulness edge-detection application over ten test scenes where accuracy and precision show average improvement by 4.97 and 40.25 percentage points, respectively, trading off sensitivity. Another application example examines four different calibration-data storage scenarios and compute that a 48% increase in memory yields 75% smaller uncertainty metrics over the baseline. Our method enables better decision-making in critical applications where sensor data reliability is paramount.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13396527/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147935642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asynchronous temporal mapping for high-dynamic-range video and hardware-level privacy with event cameras. 异步时间映射的高动态范围视频和硬件级隐私与事件摄像机。

IF 7

Communications engineering Pub Date : 2026-05-13 DOI: 10.1038/s44172-026-00687-4

Yuhan Bao, Hao Shi, Jiajun Zhai, Kaiwei Wang

引用次数: 0

Robust magnetoelectric backscatter communication system for bioelectronic implants. 用于生物电子植入物的鲁棒磁电反向散射通信系统。

IF 7

Communications engineering Pub Date : 2026-05-13 DOI: 10.1038/s44172-026-00678-5

Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Kaiyuan Yang, Mehdi Razavi, Jacob T Robinson

{"title":"Robust magnetoelectric backscatter communication system for bioelectronic implants.","authors":"Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Kaiyuan Yang, Mehdi Razavi, Jacob T Robinson","doi":"10.1038/s44172-026-00678-5","DOIUrl":"10.1038/s44172-026-00678-5","url":null,"abstract":"Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.3 pJ/bit and achieves less than 1E-6 bit error rate at a distance of 55 mm while tolerating a misalignment of 10 mm. Using this robust data uplink, we designed a wireless cardiac sensing node that can transmit electrocardiogram signals from the beating heart surface of a porcine model to a custom external transceiver using the magnetoelectric backscatter uplink. This reliable, near-zero-power communication method provides opportunities for next-generation bioelectronics to feature real-time physiological monitoring and closed-loop therapies while maintaining a small form factor and low power consumption.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":" ","pages":""},"PeriodicalIF":7.0,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13392280/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147935835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0