Article
Chemistry, Multidisciplinary
Fandi Chen, Shuo Zhang, Long Hu, Jiajun Fan, Chun-Ho Lin, Peiyuan Guan, Yingze Zhou, Tao Wan, Shuhua Peng, Chun-Hui Wang, Liao Wu, Teri McLean Furlong, Nagarajan Valanoor, Dewei Chu
Summary: A new design of an artificial perceptual system that integrates ZnO-based synaptic devices with Pt/carbon nanofibers-based strain sensors is presented. The system can detect stimuli and process information by controlling ion migration. The integrated devices can recognize handwriting and gestures accurately by converting mechanical stimuli into electrical signals.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Polymer Science
Jie Hu, Penggang Ren, Guanjun Zhu, Junjun Yang, Yanhao Li, Ze Zong, Zhenfeng Sun
Summary: In this study, a crack-based strain sensor with a paired-serpentine conductive network was fabricated onto a flexible film using screen printing. The sensor exhibited high sensitivity, wide detection range, and excellent durability, enabling accurate detection of various human body motions.
MACROMOLECULAR RAPID COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Si Joon Park, In-Soo Hwang, Young Jun Chang, Choong Eui Song
Summary: Water plays a crucial role in enabling highly enantioselective catalytic isomerization. Under on-water conditions, the strengthened hydrogen bonds of water molecules help block bulk water access to the enantio-determining transition state, thereby enabling the enantioselective introduction of a highly ungovernable proton to a transient enediol intermediate.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Article
Chemistry, Multidisciplinary
Rui Wang, Saisai Wang, Kun Liang, Yuhan Xin, Fanfan Li, Yaxiong Cao, Jiaxin Lv, Qi Liang, Yaqian Peng, Bowen Zhu, Xiaohua Ma, Hong Wang, Yue Hao
Summary: A study reports on the use of indium-galim-zinc-oxide thin film phototransistors for in-sensor compression and computing. The results show that the system achieves efficient data processing while maintaining high recognition accuracy.
Review
Chemistry, Multidisciplinary
Arpita Shome, Avijit Das, Angana Borbora, Manideepa Dhar, Uttam Manna
Summary: Chemistry and topography are two tools for customizing bio-inspired liquid wettability. While topography has been the dominant approach in the past, the emergence of chemical modulation allows for more controlled tailoring of liquid wettability. This review summarizes various reports that highlight the importance of both chemistry and topography in modulating bio-inspired wettability and discusses the advantages of chemical modulation over topographical variation.
CHEMICAL SOCIETY REVIEWS
(2022)
Article
Computer Science, Information Systems
Anil Verma, Aman Singh, Divya Anand, Hani Moaiteq Aljahdali, Khalid Alsubhi, Baseem Khan
Summary: Education 4.0 involves technologies like IoT, fog and cloud computing for real-time monitoring in educational institutions. This research presents a novel monitoring framework using IoT and Fog-Cloud nodes, with experimental results confirming its superior performance in irregularity detection.
Article
Materials Science, Multidisciplinary
Ming Li, Chang Li, Bamber R. K. Blackman, Eduardo Saiz
Summary: Bio-inspired superwetting interfaces can facilitate rapid transfer of liquid mass or momentum, and have potential applications in water-energy collection and energy conversion.
Article
Automation & Control Systems
Tong Wang, Xiao-Xue Wang, Juan Wen, Zhe-Yuan Shao, He-Ming Huang, Xin Guo
Summary: This study demonstrates a neuromorphic sensory system with integrated capabilities of gas sensing, data storage, and processing. Using leaky integrate-and-fire neurons, sensory neurons, and synapses, the system is able to detect and classify gases, and can be applied to emulate other biological perceptions.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Review
Engineering, Aerospace
Fang Kong, Yingjing Guo, Jianhua Zhang, Xiaojing Fan, Xiaohan Guo
Summary: This review evaluates the research progress of bio-inspired polarized skylight navigation from the perspectives of theoretical basis, information detection, sensor design, and navigation realization. The review discusses the theory of skylight polarization, measurement results under different weather conditions, the development of bionic polarization navigation sensors, and the algorithms for polarization skylight orientation. The combined application of polarized skylight navigation sensors with other navigation systems is also examined. The review concludes by presenting the future development trends of polarization navigation.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Review
Chemistry, Multidisciplinary
Brook S. Kennedy, Jonathan B. Boreyko
Summary: Freshwater scarcity is a critical global challenge, and atmospheric water harvesting (AWH) shows great promise for addressing this problem. Mesh-based fog harvesters have gained attention for their passive qualities, but their water yield has only developed modestly. Scientific understanding of passive fog collection processes is advanced, but practical application at scale still faces challenges. However, with advancements in manufacturing technology, particularly in mesh design, there are opportunities for further development.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Rong Chen, Zixi He, Xu Luo, Min Wang, Zhengdong Liu, Yueyue Wu, Xuemei Dong, Dengfeng Zhang, Juqing Liu
Summary: This study developed a simple method to prepare foamy structure ionic conductors for high-performance ionic sensing applications. The resulting conductive foams showed lightweight, stretchability, and self-healing properties, and exhibited high sensitivity, a broad detection range, and long-time durability.
ACS APPLIED POLYMER MATERIALS
(2022)
Article
Multidisciplinary Sciences
Gan Huang, Jingyuan Xu, Christos N. Markides
Summary: Most solar energy incident (>70%) on commercial photovoltaic panels is converted into heat, causing a decrease in electrical performance. The solar utilisation efficiency is typically below 25%. However, a hybrid multi-generation photovoltaic leaf concept using biomimetic transpiration structure can effectively manage heat and improve electrical efficiency by 13.6%. Additionally, it can also generate thermal energy and clean water, increasing the overall solar utilisation efficiency to over 74.5% and producing more than 1.1 L/h/m(2) of clean water.
NATURE COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Tusar Kanti Dash, Soumya Mishra, Ganapati Panda, Suresh Chandra Satapathy
Summary: Early detection of COVID-19 is challenging due to its spreading nature and fear among people. Speech-based detection, focusing on coughing sounds, can improve efficiency. A new feature called COVID-19 Coefficient (C-19CC) is developed in this study for improved detection performance.
PATTERN RECOGNITION
(2021)
Article
Neurosciences
Petrut A. Bogdan, Beatrice Marcinno, Claudia Casellato, Stefano Casali, Andrew G. D. Rowley, Michael Hopkins, Francesco Leporati, Egidio D'Angelo, Oliver Rhodes
Summary: This work presents the first simulation of a large-scale, bio-physically constrained cerebellum model performed on neuromorphic hardware, validating the results on SpiNNaker against a baseline simulation with NEST. The study investigates acceleration strategies for real-time simulation on SpiNNaker, aiming to pave the way for exploration of cerebellum-inspired controllers and extended duration simulations on neuro-robotic applications.
FRONTIERS IN CELLULAR NEUROSCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Tianshi Zhao, Chun Zhao, Wangying Xu, Yina Liu, Hao Gao, Ivona Z. Mitrovic, Eng Gee Lim, Li Yang, Ce Zhou Zhao
Summary: This paper proposes a photoelectronic transistor that mimics biological synaptic behaviors and demonstrates its typical synaptic behaviors and reliable memory stability through voltage testing. The UV-responsive synaptic properties of the MXenes floating gated transistor and its applications are measured and realized for the first time, showing great potential in bio-imitation vision applications. Through simulation based on an artificial neural network algorithm, the device successfully achieves recognition of handwritten digital images, providing a highly feasible solution for applying artificial synaptic devices to hardware neuromorphic networks.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Multidisciplinary Sciences
M. Kruusmaa, R. Gkliva, J. A. Tuhtan, A. Tuvikene, J. A. Alfredsen
ROYAL SOCIETY OPEN SCIENCE
(2020)
Article
Green & Sustainable Science & Technology
Ine S. Pauwels, Raf Baeyens, Gert Toming, Matthias Schneider, David Buysse, Johan Coeck, Jeffrey A. Tuhtan
Article
Engineering, Electrical & Electronic
Cecilia Monoli, Juan Francisco Fuentez-Perez, Nicola Cau, Paolo Capodaglio, Manuela Galli, Jeffrey A. Tuhtan
Summary: The study introduces an underwater inertial measurement system for evaluating gait kinematics during rehabilitation, demonstrating its reliable measurement of knee angles both in air and underwater environments.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Marine
Margus Ratsep, Kevin E. Parnell, Tarmo Soomere, Maarja Kruusmaa, Asko Ristolainen, Jeffrey A. Tuhtan
Summary: A wake-based approach using a grid of pressure sensors on the seabed has been developed for vessel localization and speed estimation, showing that it can provide reliable estimation of vessel location and speed.
Article
Environmental Sciences
Isabel Boavida, Maria Joao Costa, Maria Manuela Portela, Francisco Godinho, Jeffrey Tuhtan, Antonio Pinheiro
Summary: Hydropeaking caused by small-scale hydropower plants can cause stress in fish and negatively impact fish communities. However, fish refuges have been found to successfully mitigate the effects of hydropeaking, although their use may depend on the flow regime.
RIVER RESEARCH AND APPLICATIONS
(2023)
Article
Environmental Sciences
Katharina Bensing, Jeffrey A. Tuhtan, Gert Toming, Ali Hassan Khan, Boris Lehmann
Summary: Fish body geometry has a significant influence on swimming velocity, reducing the flow field upstream of the fish at a distance of one body length. The upstream velocity profiles from different fish species can be normalized to a single fit curve based on fish body length and freestream velocity. Traditional point velocity measurements overlook the effect of fish body on upstream flow, resulting in biased representation of fish velocity in subcritical flowing waters.
Article
Chemistry, Analytical
Juan Francisco Fuentes-Perez, Francisco Javier Sanz-Ronda, Jeffrey A. Tuhtan
Summary: Continuous observation of flows is crucial for various purposes, and drifters equipped with sensors offer a cost-effective solution for monitoring and modeling river behavior. This study presents a low-cost and customizable drifter that can handle most use cases and provides a general river flow characterization toolkit. The results show that the proposed drifter provides reliable surface velocity estimates, with lower cost per data point compared to commercial flow meters, and it can also identify and classify large-scale surface flow patterns. The diverse sensor payload of the open drifter makes it a unique tool for autonomous river characterization.
Article
Computer Science, Information Systems
Lizaveta Miasayedava, Jaanus Kaugerand, Jeffrey A. Tuhtan
Summary: The number of ambient air quality monitoring stations is increasing globally to assess the health risks caused by air pollution. Data assimilation methods are used to combine observations from monitoring stations with numerical models and improve data quality. This can be a cost-effective way to enhance the accuracy and completeness of air quality data.
Article
Robotics
Ashutosh Simha, Roza Gkliva, Ulle Kotta, Maarja Kruusmaa
IEEE ROBOTICS AND AUTOMATION LETTERS
(2020)
Article
Computer Science, Information Systems
Ben J. Wolf, Primoz Pirih, Maarja Kruusmaa, Sietse M. Van Netten
Article
Robotics
Christian Meurer, Juan Francisco Fuentes-Perez, Kordula Schwarzwalder, Martin Ludvigsen, Asgeir Johan Sorensen, Maarja Kruusmaa
IEEE ROBOTICS AND AUTOMATION LETTERS
(2020)
Article
Geography, Physical
Andreas Alexander, Maarja Kruusmaa, Jeffrey A. Tuhtan, Andrew J. Hodson, Thomas Schuler, Andreas Kaab