Article
Computer Science, Artificial Intelligence
Alcebiades Dal Col, Fabiano Petronetto
Summary: This paper presents a novel multidimensional projection method called Graph Regularization Multidimensional Projection (GRMP), which utilizes the graph regularization technique from the graph signal processing theory. The method constructs a similarity graph in the high-dimensional space and creates a two-dimensional distribution using a phyllotactic distribution in the visual space. The graph regularization reorganizes the distribution by bringing together similar data points. The effectiveness of the method is demonstrated using synthetic and real datasets, and its computational efficiency is highlighted by its fast approximation mechanism based on Chebyshev polynomials.
PATTERN RECOGNITION
(2022)
Article
Engineering, Environmental
Tiying Suo, Muhammad Sohail, Siying Xie, Bingzhi Li, Yue Chen, Lihui Zhang, Xing Zhang
Summary: This article introduces state-of-the-art analytical methods for the detection of MC-LR based on DNA nanotechnology and provides critical perspectives on the challenges and development in this field.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Engineering, Electrical & Electronic
Jiancong Li, Xiao-Chong Yu, Yanyan Zhi, Jie Li, Bai-Ou Guan
Summary: In this study, the mass sensitivities of mechanical oscillations in a microcavity are theoretically discussed and explored via simulations. The results provide an effective guideline for sensitivity optimization in microcavity design for single nanoparticle mass detection.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Liang-Yan Guo, Sheng-Yuan Xia, Yunfeng Long, Zhirong Peng, Yaxiong Tan, Tianyan Jiang, Zhengyong Huang
Summary: This study investigated the gas-sensing response characteristics of P-BN monolayers to SF6 decomposition gases and demonstrated their good selectivity and high sensitivity to SO2 F2 and SOF2 gas molecules.
IEEE SENSORS JOURNAL
(2022)
Review
Engineering, Electrical & Electronic
Henrique Dantas, Taylor C. Hansen, David J. Warren, V. John Mathews
Summary: This article reviews technologies and algorithms for decoding volitional movement intent using bioelectrical signals recorded from the human body, addressing deficiencies in current state-of-the-art methods and proposing three approaches to mitigate them. Experimental results demonstrate the effectiveness of these approaches.
IEEE SIGNAL PROCESSING MAGAZINE
(2021)
Article
Engineering, Multidisciplinary
Luis Eduardo Mujica, Magda Ruiz, Rodolfo Villamizar
Summary: The hydrocarbon industry is a major pillar of the Colombian economy, but with petroleum reserves decreasing, gas is becoming a main alternative for economic growth. However, the current gas pipelines, in service for over 30 years, face issues such as metal losses, corrosion, and mechanical stress, requiring expensive maintenance programs. To address this, a research institute in Colombia has developed an in-line inspection tool to gather valuable information on the pipelines' conditions, highlighting the importance of advanced technology in pipeline maintenance and safety.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Lanlan Feng, Ce Zhu, Zhen Long, Jiani Liu, Yipeng Liu
Summary: Low-rank tensor completion is crucial for recovering missing entries in multi-way data and has applications in various fields. Traditional methods like matrix SVD are not effective for order-3 data, while the emerging transform t-SVD has limitations. To overcome these limitations, we propose a novel multiplex transformed tensor decomposition framework that can handle tensors of any order.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Xin Yuan, David J. Brady, Aggelos K. Katsaggelos
Summary: Snapshot compressive imaging (SCI) captures high-dimensional data using a 2D detector and algorithms to reconstruct the desired data cube. SCI has diverse applications in hyperspectral imaging, video, and more. Recent advances have been made in SCI hardware, theory, and algorithms.
IEEE SIGNAL PROCESSING MAGAZINE
(2021)
Review
Plant Sciences
Kari Vinzant, Mohammad Rashid, Mariya V. V. Khodakovskaya
Summary: The use of nanotechnology in agriculture is still in its early stages but shows promise for improving efficiency. Nanoparticles offer solutions for depleted soils, controlled release of agrochemicals, and gene editing in plants. However, there are concerns about environmental contamination and the complexity of soil-NP interactions. It is preferable for biodegradable, non-toxic, cost-effective, and sustainably manufactured nanoparticles to be used at this stage. This mini-review discusses promising organic nanomaterials for agricultural enhancement and optimization.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Usman Yaqoob, Wagner B. Lenz, Nouha Alcheikh, Nizar Jaber, Mohammad Younis
Summary: This study proposes a highly selective multiple gases detection system using an electro-thermally heated silicon micro-resonator and machine-learning algorithms. By conducting principal component analysis and training algorithms, the proposed gas-sensing approach achieves high classification accuracy, making it promising for intelligent and highly selective compact size sensing platforms.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Hanyang Ji, Chunjin Mi, Zhenyu Yuan, Yang Liu, Hongmin Zhu, Fanli Meng
Summary: This study proposes a new method for detecting multicomponent gas based on the temperature-response relationship of the sensor. The method has low power consumption, low cost, and long-term monitoring, which can guide the future exploration of deployable sensors. The proof of concept shows accurate measurement of multicomponent gas with a mean error of 6.34% and 4.32%.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Analytical
Raluca-Ioana Stefan-van Staden, Alexandru Adrian Bratei, Ruxandra-Maria Ilie-Mihai, Damaris-Cristina Gheorghe, Bianca Maria Tuchiu
Summary: Two stochastic microsensors based on inulins immobilization were designed for the recognition and analysis of MLH1, MSH2, MSH6, PMS2, and KRAS proteins. The sensors showed different working concentration ranges and limits of determination in different biological samples.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2023)
Article
Engineering, Electrical & Electronic
Ningning Wang, Silong Li, Terry Tao Ye
Summary: This study discovers the existence of self-attention mechanisms in gas sensor array (GSA) data, which can be utilized for gas classification and recognition. GSA data is transformed into a 1-D token series through sampling and quantization, and an enhanced LSTM revision network (LSTM-attention) is employed to extract the self-attention mechanism. LSTM-attention outperforms CNN-based networks and other GSA data processing techniques with a performance of 99.6% on the UCI dynamic gases dataset. Additionally, the self-attention mechanism varies with different sampling and quantization levels during data acquisition.
IEEE SENSORS JOURNAL
(2023)
Review
Chemistry, Multidisciplinary
Shuyan Wang, Dan Wang, Yaou Duan, Zhidong Zhou, Weiwei Gao, Liangfang Zhang
Summary: Cellular nanosponges, as host decoys, have shown great potential for biological neutralization applications. By mimicking susceptible host cells, they can create function-driven and broad-spectrum neutralization solutions against various pathological agents.
ADVANCED MATERIALS
(2022)
Article
Engineering, Electrical & Electronic
Rong Fu, Yimin Liu, Tianyao Huang, Yonina C. Eldar
Summary: LISTA-Toeplitz demonstrates superior recovery accuracy over traditional LISTA in small-scale MHR problems while reducing network complexity and training data requirements. Despite the challenges of implementing LISTA in large-scale MHR problems due to huge matrix sizes, LISTA-Toeplitz still performs well, offering a promising solution.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Chemistry, Multidisciplinary
Cole R. Davis, Carlos J. Martinez, John A. Howarter, Kendra A. Erk
Article
Chemistry, Multidisciplinary
Daniela Betancourt-Jimenez, Jeffrey P. Youngblood, Carlos J. Martinez
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2020)
Article
Materials Science, Ceramics
Alejandro M. Alcaraz, Johanna Eva Maria Schmidt, Paolo Colombo, Carlos Martinez
Summary: Stop flow lithography (SFL) is a technique that combines microfluidic and photolithography principles to continuously fabricate uniform planar shaped particles. This study explores the use of UV-crosslinkable preceramic polymers to create ceramic particles with specific shapes through SFL processing. By assembling a simple SFL system, ceramic particles in hexagon, triangle, and gear shapes were successfully fabricated and transformed into silicon oxycarbide ceramic particles through pyrolysis.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2021)
Article
Chemistry, Multidisciplinary
Hamed Gholami Derami, Prashant Gupta, Kuo-Chan Weng, Anushree Seth, Rohit Gupta, Jonathan R. Silva, Baranidharan Raman, Srikanth Singamaneni
Summary: Advances in nanomaterial design have led to the development of non-invasive neuromodulation technologies using polydopamine nanoparticles as photothermal nanotransducers. These nanoparticles demonstrate reversible modulation of neuronal and cardiomyocyte activity, with precise control over cell activity levels.
ADVANCED MATERIALS
(2021)
Article
Chemistry, Physical
Ahmed A. Abokifa, Kelsey Haddad, Baranidharan Raman, John Fortner, Pratim Biswas
Summary: In this study, room temperature sensing of chloroform gas using SnO2 nanostructured thin films synthesized via a single-step ACVD process is demonstrated. Theoretical calculations and simulations show that chloroform molecules have a thermodynamically favorable adsorption on the SnO2 surface, leading to a drop in surface resistance and a sensing response. Long-range dispersive interactions account for a significant portion of the adsorption energies, highlighting the stronger binding of chloroform on metal-oxides compared to carbon-based materials.
APPLIED SURFACE SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Cole R. Davis, Carlos J. Martinez, John A. Howarter, Kendra A. Erk
Summary: The study found that NaCl concentration in saltwater environments promoted spontaneous emulsification of the SDBS-toluene system, with an increase in spontaneity as NaCl concentration increased. NPE and SDBS surfactants emulsified through different mechanisms, and HLD calculations could model spontaneous emulsification conditions effectively.
Article
Green & Sustainable Science & Technology
Daniela Betancourt-Jimenez, Brandon Wells, Jeffrey P. Youngblood, Carlos J. Martinez
Summary: A novel technique was used to produce macrocapsules containing a new type of biobased phase change material, FAAms, using a UV-curable polyester resin as the shell material. The addition of rheology additives to the shell resin improved the capsules' shape and production stability, while the core content was found to significantly impact the mechanical properties of the capsules.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2021)
Article
Multidisciplinary Sciences
Srinath Nizampatnam, Lijun Zhang, Rishabh Chandak, James Li, Baranidharan Raman
Summary: This article investigates the problem of stimulus recognition in the locust olfactory system. The researchers found that locusts can robustly recognize trained odorants even with various variations in stimuli. The results suggest that a linear statistical decoding scheme can resolve the issue of neural variability and behavioral stability.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Engineering, Civil
Miguel A. Montoya, Daniela Betancourt, Reyhaneh Rahbar-Rastegar, Jeffrey Youngblood, Carlos Martinez, John E. Haddock
Summary: The study explores the use of microencapsulated phase change material (mu PCM) to reduce environmental damage to asphalt pavements by improving thermal energy storage capacities. By modifying asphalt pavement materials with mu PCM, it may be possible to tune the pavement to the environment. Through various tests and analysis, the research focuses on capturing the mu PCM effect and assessing its impact on asphalt mixtures.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Biology
Michael Traner, Rishabh Chandak, Baranidharan Raman
Summary: Recent progress in biocompatible materials, miniaturized instrumentation, advanced computational algorithms, and genetic tools has facilitated the development of new methods to quantify animal behavior at both individual and group levels. Concurrent advancements in technologies allowing simultaneous monitoring of neural responses enable quantitative studies of complex behaviors to reveal the relationship between external sensory cues and neural responses, as well as how neural representations influence behavior generation.
CURRENT OPINION IN INSECT SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Yue Zheng, Cole R. Davis, John A. Howarter, Kendra A. Erk, Carlos J. Martinez
Summary: In this study, the HLD framework was used to predict spontaneous emulsification with a mixture of Span-80 and SLES surfactants. Emulsion formation was influenced by the HLDmix range, resulting in either o/w or w/o emulsions, with high spontaneity observed when HLDmix was close to 0.
Article
Chemistry, Multidisciplinary
Priya Rathi, Prashant Gupta, Avishek Debnath, Harsh Baldi, Yixuan Wang, Rohit Gupta, Baranidharan Raman, Srikanth Singamaneni
Summary: Expansion microscopy (ExM) is a super-resolution technique that expands biological samples to improve spatial resolution. However, fluorescence signal dilution is a challenge for ExM. In this study, plasmon-enhanced expansion microscopy (p-ExM) is introduced using an ultrabright fluorescent nanoconstruct called plasmonic-fluor (PF). PFs have a unique structure that allows for significantly brighter fluorescence signal and higher retention compared to conventional counterparts. p-ExM enables improved tracing and decryption of neural networks labeled with PFs for better analysis of structure-function relationships in biological systems.
Article
Multidisciplinary Sciences
Rishabh Chandak, Baranidharan Raman
Summary: This study found that odorants with diverse appetitive preferences can be described using low-dimensional neural representations or 'neural manifolds.' The neural response patterns, both during and after stimulus presentations, could be linearly mapped onto overall appetitive preference indices. These findings provide insights into how encoding for innate preferences can impact associative learning.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Prashant Gupta, Priya Rathi, Rohit Gupta, Harsh Baldi, Quentin Coquerel, Avishek Debnath, Hamed Gholami Derami, Baranidharan Raman, Srikanth Singamaneni
Summary: Nanotechnology-enabled neuromodulation is a promising minimally-invasive tool that can be used in neuroscience and engineering for both fundamental studies and clinical applications. This study reveals the transformation of neuromodulation from heterogeneous to homogeneous in a progressively maturing neural network, and the selective nano-neuro interaction between nanoparticles and neurons based on their surface charge. The density of nanoparticles bound to neurons in a developing neural network leads to heterogeneous optical neuromodulation, which simultaneously excites and inhibits neural network activity.
NANOSCALE HORIZONS
(2023)
Article
Environmental Sciences
Cole R. Davis, Carlos J. Martinez, John A. Howarter, Kendra A. Erk
Summary: The study found that the presence of salt can enhance the stability of oil-in-water emulsions by decreasing the electrostatic repulsion between anionic surfactants and allowing for more dense packing at the oil-water interface. Experimental results indicated the importance of hydration forces at high salt concentrations and small droplet separation distances in preventing coalescence and promoting the formation of a stable Newton black film.