22 papers · ranked by Valyu relevance
Authors not listed
The COVID-19 pandemic underscored the global need for rapid, sensitive, and multiplexed diagnostic assays for viral detection. RT-qPCR remains the standard for SARS-CoV-2 RNA detection, while antigen-based protein assays provide faster, though less sensitive, alternatives. Here, we present a novel diagnostic platform…
Lixin Ma, Ruiyun Zhou, Limei Yin, Li Sun + 4 more
'Jianrong Cai' 'Chiara Roberta Girelli'] Surface-enhanced Raman scattering (SERS) technology has garnered significant attention for the detection of trace food contaminants, due to its exceptional sensitivity, non-destructive nature, and molecular fingerprinting capabilities. Currently, SERS applications in the…
Long N. Le, Douglas L. Jones
—Simultaneous detection and estimation is important in many engineering applications. In particular, there are many applications where it is important to perform signal detection and Signal-to-Noise-Ratio (SNR) estimation jointly. Application of existing frameworks in the literature that handle simultaneous detection…
Jifang Pei, Yulin Huang, Weibo Huo, Yuxuan Miao + 2 more
'Jianyu Yang'] Finding out interested targets from synthetic aperture radar (SAR) imagery is an attractive but challenging problem in SAR application. Traditional target detection is independent on SAR imaging process, which is purposeless and unnecessary. Hence, a new SAR processing approach for simultaneous target…
Ana Díaz-Fernández, Simona Ranallo, Francesco Ricci
Here we report the development of a method for the electrochemical ultrasensitive detection of antibodies that couples the programmability and versatility of DNA-based systems with the sensitivity provided by enzymatic amplification. The platform, termed Enzyme-Linked DNA Displacement (ELIDIS), is based on the use of…
Mina Moradi Kordmahalleh, M. Gorji, Jafar Ghaisari, Javad Askari
Wireless Sensor Networks (WSNs) consist of many low cost and light sensors dispersed in an area to monitor the physical environment. Event detection in WSN area, especially detection of multi-events at the same time, is an important problem. This article is a new attempt for detection of two simultaneous events based…
Woosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim + 1 more
'Seongwook Lee'] This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals. In conventional methods, the detection and classification in automotive radar systems are conducted in two…
Yonny Hammer, Wenad Najjar, Lea Kahanov, Leo Joskowicz + 1 more
'Yigal Shoshan'] Purpose Close MRI surveillance of patients with brain metastases following Stereotactic Radiosurgery (SRS) treatment is essential for assessing treatment response and the current disease status in the brain. This follow-up necessitates the comparison of target lesion sizes in pre- (prior) and post-SRS…
HuiJuan Wang, ZiYue Tang, YuanQing Zhao, YiChang Chen + 2 more
'YuanPeng Zhang'] A modified signal processing and target fusion detection method based on the dual platform cooperative detection model is proposed in this paper. In this model, a single transmitter and dual receiver radar system is adopted, which can form a single radar and bistatic radar system, respectively.…
Tongxia Jin, Luling Wu, Ti Jia, Rongrong Zhao + 6 more
Vicinal dithiol-containing proteins (VDPs) are of considerable importance due to their role in regulating cellular functions through the reversible dithiol/disulfide inter-conversion reaction. However, there are currently no effective tools for the simultaneous tracing of endogenous VDPs in live cells. Here, we report…
Solène Leblond, Tutea Atger, Isabelle Berry, Franck-Emmanuel Roux + 2 more
The temporal binding window (TBW) refers to the time interval within which two stimuli, typically visual and auditory, are perceived as synchronous. Neural bases underlying this process consistently implicate a large-scale network with superior temporal sulcus (STS) as a central hub, alongside contributions from…
Cesare V. Parise, Marc O. Ernst
Audiovisual information reaches the brain via both sustained and transient input channels, representing signals’ intensity over time or changes thereof, respectively. To date, it is unclear to what extent transient and sustained input channels contribute to the combined percept obtained through multisensory…
Chandramouli Chandrasekaran, Matthias Gondan
In divided-attention tasks with two classes of target stimuli (e.g., auditory and visual), redundancy gains are typically observed if both targets are presented simultaneously, as compared with single-target presentation. Different models explain such redundant-signals effects, including race and coactivation models.…
Alexis Pérez-Bellido, Eelke Spaak, Floris P. de Lange
Sounds enhance the detection of visual stimuli while concurrently biasing an observer’s decisions. To investigate the neural mechanisms that underlie such multisensory interactions, we decoded time-resolved signal detection theory (SDT) sensitivity and criterion parameters from neural activity using…
Victor Watson, François Septier, Patrick Armand, Christophe Duchenne
In this work, we aim to provide a new and efficient recursive detection method for temporarily monitored signals. Motivated by the case of the propagation of an event over a field of sensors, we assumed that the change in the statistical properties in the monitored signals can only be temporary. Unfortunately, to our…
Meng Jia, Troy Sorensen, Dorit Hammerling
We propose a generic, modular framework to optimize the placement of continuous monitoring sensors on oil and gas sites aiming to maximize the methane emissions detection efficiency. Our proposed framework substantially expands the problem scale compared to previous related studies and can be adapted for different…
Hongbin Li, Fangzhou Wang, Cengcang Zeng, Mark A. Govoni
—Although routinely utilized in literature, orthogonal waveforms may lose orthogonality in distributed multi-input multi-output (MIMO) radar with spatially separated transmit (TX) and receive (RX) antennas, as the waveforms may experience distinct delays and Doppler frequency offsets unique to different TX-RX…
Matthew Gardner, Celeste Bowden, Shoaib Manzoor, Gyles Cozier + 14 more
Synthetic cannabinoids (SCs) are novel psychoactive substances (NPS) that are highly potent and associated with a range of severe toxicities. SC use, which is common in UK prisons and homeless communities, typically involves combustion of SC-soaked herb or paper material. Recently, e-cigarettes (or vapes) have emerged…
Zak Buhmann, Amanda K. Robinson, Jason B. Mattingley, Reuben Rideaux
A central challenge for the brain is how to combine separate sources of information from different sensory modalities to optimally represent objects and events in the external world, such as combining someone’s speech and lip movements to better understand them in a noisy environment. At the level of individual…
N. Goyal, S. Aplin, A. Balerna, P. Bell + 23 more
'S. Chatterji' 'C. Cohen' 'E. Collet' 'G. Dennis' 'P. Fajardo' 'E. N. Gimenez' 'H. Graafsma' 'H. Hiresmann' 'F. J. Iguaz' 'K. Klementiev' 'T. Kolodziej' 'L. Manzanillas' 'T. Martin' 'R. H. Menk' 'M. Porro' 'M. Quispe' 'B. Schmitt' 'S. Scully' 'M. Turcato' 'C. Ward' 'E. Welter'] Abstract. This study presents a detailed…
Anton Eldeborg Lundin, Rasmus Winzell, Hanna Hamrell, David Gustafsson + 1 more
Small drones are an increasing threat to both military personnel and civilian infrastructure, making early and automated detection crucial. In this work we develop a system that uses spiking neural networks and neuromorphic cameras (event cameras) to detect drones. The detection model is deployed on a neuromorphic chip…
Krzysztof Fujarewicz, Krzysztof Łakomiec
A synergy between two therapeutic agents occurs when the effect of using both is greater than the sum of the effects of using each of them separately. There are several methods of detecting synergies in the literature, but they do not take into account the relationship between the times in which the factors act. In the…