المؤلفون: Xing, Yumeng, Peng, Ao, Yang, Jianhui, Cheng, Zhifei, Yue, Yi, Liu, Feilong, Li, Fenghe, Liu, Yang, Liu, Qi

المساهمون: National Natural Science Foundation of China, Kementerian Pendidikan

المصدر: Advanced Science ; volume 11, issue 15 ; ISSN 2198-3844 2198-3844

الوصف: As an essential intracellular immune activation pathway, the cGAS‐STING pathway has attracted broad attention in cancer treatment. However, low bioavailability, nonspecificity, and adverse effects of small molecule STING agonists severely limit their therapeutic efficacy and in vivo application. In this study, a peptide‐based STING agonist is first proposed, and KLA is screened out to activate the cGAS‐STING pathway by promoting mitochondrial DNA (mtDNA) leakage. To precisely activate the cGAS‐STING pathway and block the PD‐1/PD‐L1 pathway, a multi‐stimuli activatable peptide nanodrug (MAPN) is developed for the effective delivery of KLA and PD‐L1 antagonist peptide (CVR). With rational design, MAPN achieved the site‐specific release of KLA and CVR in response to multiple endogenous stimuli, simultaneously activating the cGAS‐STING pathway and blocking PD‐1/PD‐L1 pathway, ultimately initiating robust and durable T cell anti‐tumor immunity with a tumor growth inhibition rate of 78% and extending the median survival time of B16F10 tumor‐bearing mice to 40 days. Overall, antimicrobial peptides, which can promote mtDNA leakage through damaging mitochondrial membranes, may be potential alternatives for small molecule STING agonists and giving a new insight for the design of novel STING agonists. Furthermore, MAPN presents a universal delivery platform for the effective synergy of multiple peptides.

الإتاحة: https://doi.org/10.1002/advs.202309583Test

المؤلفون: Xu, Xueting, Peng, Ao, Hong, Xuemin, Zhang, Yixiong, Zhang, Xiao-Ping

المساهمون: National Key Research and Development Program of China

المصدر: IEEE Internet of Things Journal ; volume 11, issue 7, page 11271-11286 ; ISSN 2327-4662 2372-2541

مصطلحات موضوعية: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Information Systems, Signal Processing

الإتاحة: https://doi.org/10.1109/jiot.2023.3329147Test
http://xplorestaging.ieee.org/ielx7/6488907/10479190/10304226.pdf?arnumber=10304226Test

المؤلفون: Chien, Ying-Ren, Zhou, Mu, Peng, Ao, Zhu, Ni, Torres-Sospedra, Joaquín

المساهمون: Universidade do Minho

مصطلحات موضوعية: Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática, Science & Technology

الوصف: Data Availability Statement: The research discussed in this editorial is available in https://wwwTest. mdpi.com/journal/sensors/special_issues/spmlssa (accessed on 2 January 2023).

الوصف (مترجم): [Excerpt] The Special Issue “Signal Processing and Machine Learning for Smart Sensing Applications” focused on the publication of advanced signal processing methods by means of state-of-the-art machine learning technologies for smart sensing applications. It targeted research areas that included radio navigation, indoor/outdoor positioning, mm-wave sensing, speech denoising, and noise cancellation, among many others. A secondary objective was to promote interdisciplinary collaborations between researchers in the fields of signal processing and machine learning technologies for smart sensing applications. A total of 17 works were published within this Special Issue, where we can find works that are dealing with the more cutting-edge solutions for audio filtering for speech enhancement, identification and mitigation of some types of jamming, electroencephalogram processing for sleep-arousal detection, localization using magnetic field information, processing direction-of-arrival, detection of defects, fall detection, tracing healthcare data in real-time, as well as learn how signals propagate under non-line-of-sight conditions. The main contributions are briefly described in the remainder of this editorial. Zhou et al. [1] proposed a new algorithm using bone-conduction (BC) signals to assist dual-microphone generalized sidelobe canceller (GSC) adaptive beamforming for speech enhancement. First, the BC signals were used to conduct highly reliable voice activity detection (VAD), assisted adaptive noise canceller (ANC), and adaptive block matrix (ABM) weight coefficient updates in GSC. Second, an adaptive compensation filter (CF) was designed to compensate the amplitude and phase difference between air-conduction (AC) and BC signals. Third, wind noise was detected and replaced with the output of CF to recover low-frequency speech components from the wind noise. Finally, a real-time neural network-based postfilter was designed and trained to effectively remove the residual noise. Experimental results showed that the proposed algorithm effectively improves signal-to-noise ratio (SNR) and speech quality in different scenarios, and the assistance of BC signals can effectively improve the noise reduction performance of beamforming. [...]
(undefined)

وصف الملف: application/pdf

العلاقة: Chien, Y.-R.; Zhou, M.; Peng, A.; Zhu, N.; Torres-Sospedra, J. Signal Processing and Machine Learning for Smart Sensing Applications. Sensors 2023, 23, 1445. https://doi.org/10.3390/s23031445Test; 1424-8220; 36772484; https://www.mdpi.com/1424-8220/23/3/1445Test

الإتاحة: https://hdl.handle.net/1822/85317Test

المؤلفون: Sun, Xiaohong, Liu, Wei, Luo, Binyu, Ma, Dongwei, Kalluru, Hindu, Zhou, Yangmei, Li, Jin, Peng, Ao, Liu, Yuwang, Tong, Xin, Sun, Lei, Teeter, John, Raje, Sangeeta, Yang, Renchi

المساهمون: Pfizer

المصدر: Haemophilia ; volume 29, issue 4, page 1155-1159 ; ISSN 1351-8216 1365-2516

الإتاحة: https://doi.org/10.1111/hae.14814Test

المؤلفون: Chen, Naihan, He, Qing, Ma, Ying, Liu, Shixue, Wei, Hua, Peng, Ao

المصدر: Clinical Pharmacology in Drug Development ; volume 12, issue 6, page 572-578 ; ISSN 2160-763X 2160-7648

الوصف: This was an open‐label, randomized study in healthy Chinese participants to assess the bioequivalence of 2 fluconazole 150‐mg capsules under fasted and fed conditions. The study consisted of 2 treatment periods, separated by a 14‐day washout period. Thirty‐six participants were enrolled, with 18 participants each in the fasted and fed groups. In each treatment period, participants received a single oral dose of the test or reference fluconazole 150‐mg capsule. After washout, participants received the alternate treatment. Blood samples for pharmacokinetic analysis were collected from 1 hour before dosing to 72 hours after dosing. The median plasma concentration–time profiles were similar for both treatments under fasted and fed conditions. Bioequivalence of fluconazole between the 2 capsules was demonstrated as 90% confidence intervals of the geometric mean ratios for the maximum plasma concentration and area under the plasma concentration–time curve from time 0 to 72 hours after dosing under fasted and fed conditions were within the acceptable range of 80%–125%. Overall, 7 participants reported at least 1 treatment‐emergent adverse event; all were mild in severity. No serious adverse events or deaths were reported. The test fluconazole capsule was bioequivalent to the reference capsule, and a single dose was well tolerated. Clinicaltrials.gov ID: NCT03621072

الإتاحة: https://doi.org/10.1002/cpdd.1248Test

المؤلفون: Hu, Yunbing, Peng, Ao, Li, Shenghong, Tang, Biyu, Ni, Wei, Lu, Xianzhi, Tang, Jianguo

المساهمون: the National Key Research and Development Program of China

المصدر: EURASIP Journal on Wireless Communications and Networking ; volume 2023, issue 1 ; ISSN 1687-1499

مصطلحات موضوعية: Computer Networks and Communications, Computer Science Applications, Signal Processing

الوصف: Wireless localization technology has been widely used in indoor and outdoor fields. Channel estimation based on channel state information is a hot research topic in recent years. However, due to the interference of acquisition bandwidth, noise and Doppler effect, high-resolution channel estimation is a difficult problem. In this paper, the least squares estimate the amplitude of the signal subspace projection and estimate the time delay, using wireless channel state information to delay obey exponential distribution and magnitude obey normal distribution features, and reconstruction after the signal space and sampling to the Euclidean distance between the signal space, common as gradient optimization parameters, estimate the arrival time delay of high precision. The algorithm proposed in this paper filters out the noise interference in wireless communication and improves the accuracy of channel estimation through the method of least square and gradient optimization, which provides a feasible scheme for indoor wireless localization.

الإتاحة: https://doi.org/10.1186/s13638-023-02303-xTest

المؤلفون: Xu, Xueting, Zhang, Chenxin, Peng, Ao

المساهمون: Science and Technology Projects of Fujian Province

المصدر: Computer Communications ; volume 208, page 200-209 ; ISSN 0140-3664

مصطلحات موضوعية: Computer Networks and Communications

الإتاحة: https://doi.org/10.1016/j.comcom.2023.05.020Test
https://api.elsevier.com/content/article/PII:S014036642300186X?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S014036642300186X?httpAccept=text/plainTest

المؤلفون: Peng, Ao, Liu, Weikang, Sun, Xuxu, Luo, Rongqin, Pan, Junyu, Chen, Xianfeng, Zhang, Gang, Zhang, Xiankai, Shi, Jihao

المساهمون: Opening Fund of the Key Laboratory of Civil Aviation Thermal Disaster Prevention and Emergency of Civil Aviation University of China, Hubei Province unveiling project, Natural Science Foundation of Guangdong Province, the National Key R&D Program of China

المصدر: Combustion Science and Technology ; page 1-15 ; ISSN 0010-2202 1563-521X

الإتاحة: https://doi.org/10.1080/00102202.2024.2315114Test

المؤلفون: Xu, Xueting, Zhou, Yang, Li, Huiying, Peng, Ao, Ye, Qiang, Yang, Qi

المساهمون: Science and Technology Key Project of Fujian Province, Fujian Science and Technology Plan Project

المصدر: IEEE Journal on Selected Areas in Communications ; volume 42, issue 1, page 34-51 ; ISSN 0733-8716 1558-0008

الإتاحة: https://doi.org/10.1109/jsac.2023.3322801Test
http://xplorestaging.ieee.org/ielx7/49/10364883/10288369.pdf?arnumber=10288369Test

المؤلفون: Sun, Tian, Peng, Ao, Shi, Jianghong

المساهمون: Science and Technology Projects of Fujian Province

المصدر: Digital Signal Processing ; volume 146, page 104372 ; ISSN 1051-2004

مصطلحات موضوعية: Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence, Applied Mathematics, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty, Computational Theory and Mathematics

الإتاحة: https://doi.org/10.1016/j.dsp.2023.104372Test
https://api.elsevier.com/content/article/PII:S1051200423004670?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S1051200423004670?httpAccept=text/plainTest