Article
Environmental Sciences
Ahyun Lee, Kang-Woo Lee, Kyong-Ho Kim, Sung-Woong Shin
Summary: This study proposes a geospatial platform based on Unity3D engine for managing large-scale individual mobility data in urban digital twin models. The platform can store and manage individual vehicle or pedestrian information from closed-circuit television, as well as generate long-term route information for unique vehicles. Safety measures such as license plate anonymization and individual mobility data compression are also proposed.
Article
Biochemistry & Molecular Biology
Zhu Liu, Tremayne Mushayahama, Bryan Queme, Dustin Ebert, Anushya Muruganujan, Caitlin Mills, Paul D. Thomas, Huaiyu Mi
Summary: The Annotation Query (AnnoQ) is a comprehensive platform that provides functional annotations for human genetic variants. Users can obtain the most up-to-date functional annotations through simple queries and browse and annotate variant data using an interactive web interface.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Multidisciplinary Sciences
Amie M. Gordon, Wendy Berry Mendes
Summary: The study found that when demands were higher and resources were lower, there was higher blood pressure reactivity, but the ratio of demands relative to resources could improve the prediction of blood pressure changes; older adults showed greater concordance between self-reported stress and physiological responses compared to younger adults; physiological reactivity was associated with current emotional state, and both valence and arousal mattered.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Optics
Jueming Bao, Zhaorong Fu, Tanumoy Pramanik, Jun Mao, Yulin Chi, Yingkang Cao, Chonghao Zhai, Yifei Mao, Tianxiang Dai, Xiaojiong Chen, Xinyu Jia, Leshi Zhao, Yun Zheng, Bo Tang, Zhihua Li, Jun Luo, Wenwu Wang, Yan Yang, Yingying Peng, Dajian Liu, Daoxin Dai, Qiongyi He, Alif Laila Muthali, Leif K. Oxenlowe, Caterina Vigliar, Stefano Paesani, Huili Hou, Raffaele Santagati, Joshua W. Silverstone, Anthony Laing, Mark G. Thompson, Jeremy L. O'Brien, Yunhong Ding, Qihuang Gong, Jianwei Wang
Summary: Researchers have successfully manufactured a quantum photonic device based on graph theory, which can be used to perform complex quantum computing tasks with high design flexibility and scalability.
Article
Biochemical Research Methods
Konstantinos Tzanakis, Tim W. Nattkemper, Karsten Niehaus, Stefan P. Albaum
Summary: MetHoS is an automated web-based software platform for processing and analyzing large-scale metabolomics data sets using mass spectrometry. It utilizes a big data framework for parallel processing and distributed storage, enabling comprehensive analysis of hundreds or even thousands of experiments.
BMC BIOINFORMATICS
(2022)
Article
Environmental Sciences
Oleg Bazaluk, Kanay Rysbekov, Marzhan Nurpeisova, Vasyl Lozynskyi, Guldana Kyrgizbayeva, Turar Turumbetov
Summary: This study aimed to develop a methodology for integrated monitoring of the rock mass state to ensure industrial and environmental safety in Central Kazakhstan. The research resulted in the development of a method for maintaining an integrated system of geodynamic monitoring and identifying graphical-analytical dependencies between important rock properties. The scientific novelty lies in determining the pattern of changes in structural characteristics and strength properties of rocks with depth, allowing for the prediction of the stress-strain state of the rock mass.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Polymer Science
Hai-Tao Wang, Zhi-Ning Bian, Guo-Wen Xu, Min-Sheng Chen, Hao Xiong, Sai-Sai Liu
Summary: This study investigated the effects of anchorage method, CFRP type, prestress, and prestressing system on the flexural strengthening efficacy of RC beams. The results showed that the prestressed CFRP plate was superior in improving the flexural behavior of RC beams compared to the nonprestressed CFRP plate.
Article
Psychology, Multidisciplinary
Carolina Busco, Felipe Gonzalez, Michelle Aranguiz
Summary: This study aims to rank the factors that promote a digital culture in large organizations using the Delphi method, based on the perception of executives. Results show a high level of agreement on the importance of digital strategy and digital leadership factors in favoring a digital culture in large companies in Chile. However, attention must be paid to the conservative characteristics of Chilean work culture, which hinder collaborative work and reject disruptive change, posing obstacles to successful digital transformation plans.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Multidisciplinary Sciences
Saba Parvez, Chelsea Herdman, Manu Beerens, Korak Chakraborti, Zachary P. Harmer, Jing-Ruey J. Yeh, Calum A. MacRae, H. Joseph Yost, Randall T. Peterson
Summary: MIC-Drop is a platform combining droplet microfluidics, single-needle en masse CRISPR ribonucleoprotein injections, and DNA barcoding, enabling large-scale functional genetic screens in zebrafish to efficiently identify genes responsible for morphological or behavioral phenotypes. It has the potential to scale to thousands of genes, facilitating genome-scale reverse genetic screens in model organisms.
Article
Chemistry, Analytical
Yoann Gloaguen, Jennifer A. Kirwan, Dieter Beule
Summary: NeatMS is a machine learning tool based on convolutional neural networks that reduces false peaks in untargeted metabolomics. It includes a pre-trained model and functions for training new models, improving peak curation, and facilitating the analysis of large-scale experiments.
ANALYTICAL CHEMISTRY
(2022)
Article
Nanoscience & Nanotechnology
Yikai Su, Yu He, Xuhan Guo, Weiqiang Xie, Xingchen Ji, Hongwei Wang, Xinlun Cai, Limin Tong, Siyuan Yu
Summary: To meet the increasing demand for bandwidth, photonic integrated circuits (PICs) have been widely used in applications requiring high capacity and high-bandwidth density interconnects. However, scaling PICs to meet future petabit per second capacity requirements poses challenges. This study examines the scalability bottlenecks of PICs including guiding materials, dense integration approaches, wide-band optical sources, and high efficiency tunable and modulation devices. Potential solutions to address these challenges are explored. Future PIC development will require significant innovations and technological breakthroughs, as the Moore's law for integrated photonics may have a shorter lifespan compared to that in the microelectronics industry.
Article
Engineering, Industrial
Lars Mosterd, Vladimir C. M. Sobota, Geerten van de Kaa, Aaron Yi Ding, Mark de Reuver
Summary: This paper explores the openness between digital platforms, finding that platform owners make trade-offs based on factors such as direct benefits, indirect benefits, and strategic considerations. These trade-offs depend on market and organizational contexts.
Article
Environmental Sciences
Chong Chen, Jiahong Luo, Chengcheng Bu, Weiwei Zhang, Limin Ma
Summary: The detection of pesticides and other micro-pollutants in water is increasing, leading to the need for effective engineering methods to mitigate their impact. Traditional sewage treatment plants do not have specific processes for removing micro-pollutants from water. Laboratory-scale wetlands have been proven to be effective in removing pesticides from water, but large-scale wetlands, especially when used as a polishing step in sewage treatment plants, have been less studied. This study detected 44 target pesticides in the water of a large-scale integrated constructed wetland and found that the removal of these pesticides followed seasonal trends. The study highlights the potential of constructed wetlands as a polishing step in sewage treatment plants for the removal of micropollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Astronomy & Astrophysics
A. Kokori, A. Tsiaras, B. Edwards, M. Rocchetto, G. Tinetti, L. Bewersdorff, Y. Jongen, G. Lekkas, G. Pantelidou, E. Poultourtzidis, A. Wunsche, C. Aggelis, V. K. Agnihotri, C. Arena, M. Bachschmidt, D. Bennett, P. Benni, K. Bernacki, E. Besson, L. Betti, A. Biagini, P. Brandebourg, M. Bretton, S. M. Brincat, M. Calo, F. Campos, R. Casali, R. Ciantini, M. Crow, B. Dauchet, S. Dawes, M. Deldem, D. Deligeorgopoulos, R. Dymock, T. Eenmae, P. Evans, N. Esseiva, C. Falco, S. Ferratfiat, M. Fowler, S. R. Futcher, J. Gaitan, F. Grau Horta, P. Guerra, F. Hurter, A. Jones, W. Kang, H. Kiiskinen, T. Kim, D. Laloum, R. Lee, F. Lomoz, C. Lopresti, M. Mallonn, M. Mannucci, A. Marino, J-C Mario, J-B Marquette, J. Michelet, M. Miller, T. Mollier, D. Molina, N. Montigiani, F. Mortari, M. Morvan, L. Mugnai, L. Naponiello, A. Nastasi, R. Neito, E. Pace, P. Papadeas, N. Paschalis, C. Pereira, V Perroud, M. Phillips, P. Pintr, J-B Pioppa, A. Popowicz, M. Raetz, F. Regembal, K. Rickard, M. Roberts, L. Rousselot, X. Rubia, J. Savage, D. Sedita, D. Shave-Wall, N. Sioulas, V Skolnik, M. Smith, D. St-Gelais, D. Stouraitis, I Strikis, G. Thurston, A. Tomacelli, A. Tomatis, B. Trevan, P. Valeau, J-P Vignes, K. Vora, M. Vrastak, F. Walter, B. Wenzel, D. E. Wright, M. Zibar
Summary: The ExoClock project monitors and updates the ephemerides of Ariel targets using observations from ground telescopes, midtime values from literature, and space instrument observations. The updated ephemerides have implications for future scheduling and have significantly improved precision.
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
(2022)
Article
Biochemical Research Methods
Meera Shanmuganathan, Zachary Kroezen, Biban Gill, Sandi Azab, Russell J. de Souza, Koon K. Teo, Stephanie Atkinson, Padmaja Subbarao, Dipika Desai, Sonia S. Anand, Philip Britz-McKibbin
Summary: This study outlines a standardized protocol and data workflow for high-throughput analysis of the maternal serum metabolome, which is applied to a multi-ethnic cohort of pregnant women. The method uses multisegment injection-capillary electrophoresis-mass spectrometry with stringent quality control measures to detect and quantify multiple metabolites in serum with high accuracy and efficiency. By implementing this validated protocol, the study achieves robust batch correction for long-term signal drift and establishes reference intervals for serum metabolites in a diverse population of pregnant women in their second trimester.
Article
Chemistry, Multidisciplinary
Xiangyu Liang, Guangda Chen, Shaoting Lin, Jiajun Zhang, Liu Wang, Pei Zhang, Yang Lan, Ji Liu
Summary: This article reports a simple yet general approach to engineer conventional hydrogels with unprecedented, isotropic fatigue resistance along two arbitrary in-plane directions. By forming preferentially aligned lamellar micro/nanostructures through bidirectional freeze-casting and compression annealing, the propagation of fatigue cracks can be effectively hindered.
ADVANCED MATERIALS
(2022)
Review
Chemistry, Multidisciplinary
Kyoung Won Cho, Sung-Hyuk Sunwoo, Yongseok Joseph Hong, Ja Hoon Koo, Jeong Hyun Kim, Seungmin Baik, Taeghwan Hyeon, Dae-Hyeong Kim
Summary: Recent advancements in nanostructured materials and unconventional device designs have led to significant improvements in bioelectronics, transitioning from rigid and bulky forms to soft and ultrathin forms. These advancements have enabled high-quality biosignal measurements, real-time feedback treatments, and reduced long-term side effects. Nanomaterials and their composites are extensively utilized for flexible and stretchable electronics, propelling the field of bioelectronics forward.
Article
Engineering, Mechanical
Liu Wang, Chuan Fei Guo, Xuanhe Zhao
Summary: This research presents a method to design and optimize magnetic soft continuum robots that can apply forces in contact with the environments and improve their maneuverability in endovascular settings.
EXTREME MECHANICS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. P. Kulkarni, David Z. Z. Pan, Yongpan Liu, Nan Sun
Summary: The article introduces a charge-domain computing ternary neural network (TNN) classifier with a complete four-layer neural network (NN) on a chip. The proposed ternary network provides 1.5-b resolution (0/+1/-1) for weights and activations, leading to 3.9 x fewer operations (OPs) per inference than binary neural network (BNN) for the same Modified National Institute of Standards and Technology (MNIST) accuracy. The prototype achieves 97.1% MNIST accuracy with 0.18 mu J per classification, which is the smallest energy consumption for comparable MNIST classification accuracy to our knowledge.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2023)
Article
Multidisciplinary Sciences
Yuxuan Sun, Liu Wang, Yangyang Ni, Huajian Zhang, Xiang Cui, Jiahao Li, Yinbo Zhu, Ji Liu, Shiwu Zhang, Yong Chen, Mujun Li
Summary: The authors present an in situ dual heating strategy for the rapid 3D printing of thermosets with complex structures and diverse rheological properties. This strategy combines the direct ink writing (DIW) technique and a heating-accelerated in situ gelation mechanism, allowing for the printing of various thermosets with viscosities spanning five orders of magnitude, printed height over 100 mm, and high resolution of 50 μm.
NATURE COMMUNICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Jian Wang, Yumei Zhou, Lanying Xu, Lelun Jiang, Liu Wang
Summary: In this study, a novel magnetic kirigami with tunable configurations and functionality was fabricated using laser cutting technique. The magnetic kirigami consists of an array of magnetic microplates, each with programmed magnetization, allowing for predesigned configurations. The potential application of information encryption was demonstrated by engineering magnetic kirigami into a magneto-responsive QR code. This work provides a simple fabrication strategy and paves the way for other applications of magnetic kirigami.
ACTA MECHANICA SOLIDA SINICA
(2023)
Article
Materials Science, Multidisciplinary
Yifan Rao, Eunbin Kim, Zhaohe Dai, Jinlong He, Ying Li, Nanshu Lu
Summary: Spontaneously formed micro-and nano-sized blisters under 2D crystals with heights ranging from a few angstroms to tens of nanometers are studied using a combination of experiments, continuum theories, and CGMD simulations. Three distinct regimes in the shape characteristics of these blisters are observed, depending on the height-to-radius ratios. The factors governing the blister shape are identified as the 2D crystal elasticity, interfacial interactions, and phases of confined substances. Approximate analytical solutions to the blister aspect ratios are provided, which agree with experimental measurements and CGMD simulation results.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Nanoscience & Nanotechnology
Sarnab Bhattacharya, Mohammad Nikbakht, Alec Alden, Philip Tan, Jieting Wang, Taha A. Alhalimi, Sangjun Kim, Pulin Wang, Hirofumi Tanaka, Animesh Tandon, Edward F. Coyle, Omer T. Inan, Nanshu Lu
Summary: Cardiovascular diseases are responsible for the majority of deaths worldwide. This study introduces a thin, stretchable, lightweight, wireless, and low-power cardiac monitoring device, known as an e-tattoo, which adheres to the human chest like a temporary tattoo sticker. It allows continuous monitoring of cardiac signals, enabling early detection and prevention of cardiac complications.
ADVANCED ELECTRONIC MATERIALS
(2023)
Article
Multidisciplinary Sciences
Siyi Liu, Jinlong He, Yifan Rao, Zhaohe Dai, Huilin Ye, John C. Tanir, Ying Li, Nanshu Lu
Summary: Three-dimensional surface-conformable electronics have potential applications in curved displays, bioelectronics, and biomimetics. Flexibility and stretchability are challenges for fully conforming electronics to nondevelopable surfaces. This study investigates the conformability of circular sheets on spherical surfaces and identifies a scaling law that predicts their conformability. The effects of radial slits on improving conformability are quantified, providing practical guidelines for achieving high conformability.
Article
Chemistry, Multidisciplinary
Yuxuan Sun, Liu Wang, Zhengqing Zhu, Xingxiang Li, Hong Sun, Yong Zhao, Chenhui Peng, Ji Liu, Shiwu Zhang, Mujun Li
Summary: This study reports a ferromagnetic liquid crystal elastomer (magLCE) ink that allows independent programming of nematic order and magnetization via a customized 3D-printing platform. The 3D-printed magLCE offers designable shape morphing under different stimuli, making it promising for applications in wireless soft robots and intelligent devices.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Wang Hee Lee, Chang-Kyu Yoon, Hyunseo Park, Ga-Hee Park, Jae Hwan Jeong, Gi Doo Cha, Byoung-Hoon Lee, Juri Lee, Chan Woo Lee, Megalamane S. Bootharaju, Sung-Hyuk Sunwoo, Jaeyune Ryu, Changha Lee, Yong-Joon Cho, Tae-Wook Nam, Kyung Hyun Ahn, Taeghwan Hyeon, Yeong-Jae Seok, Dae-Hyeong Kim
Summary: Conversion of sunlight and organic carbon substrates to sustainable energy sources through microbial metabolism has great potential, but efficient and scalable fuel production platforms are still in their early stages. A floating microbial device designed to operate at the air-water interface enables simultaneous supply of gaseous reactants, capture of gaseous products, and efficient sunlight delivery. This device demonstrates efficient nitrogen fixation and hydrogen generation, low fabrication cost, and mechanical durability, confirming its potential for practical and sustainable solar energy conversion.
ADVANCED MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Yuxuan Sun, Huajian Zhang, Yong Zhao, Jiyang Wu, Yinbo Zhu, Mujun Li, Liu Wang
Summary: This study reports on locally reprogrammable and multifunctional magnetic micropillars. The micropillars are fabricated by dispersing CrO2 microparticles in an Ecoflex matrix, allowing for programming and reprogramming of magnetization by laser heating and applying a magnetic field. The magnetic micropillars exhibit a variety of deformation modes and demonstrate functionalities such as information encryption, particle pumping, ink mixing, and underwater crawling robotics.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Chemistry, Physical
Jidong Shi, Su Yang, Zetao Zheng, Jiyu Li, Liu Wang, Wei Zeng, Liusi Yang, Ying Xiong, Zhengyuan Jin, Xiaoming Tao
Summary: A novel piezocatalytic textile has been developed by loading nanomaterials onto textiles. This textile features a highly curved, intertwined, and mesoporous structure, providing abundant stress concentration sites for piezocatalytic reactions. It achieves higher efficiency compared to conventional ultrasonic-driven piezocatalytic platforms by utilizing low-frequency water flow for activation.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Proceedings Paper
Computer Science, Cybernetics
Philip Tan, Shreya Tamma, Sarnab Bhattacharya, James Tunnell, Nanshu Lu
Summary: This research presents a soft wearable e-tattoo sensor that can measure deep hemodynamics on the neck noninvasively. It investigates the penetration depth of photoplethysmography (PPG) and demonstrates the e-tattoo's ability to distinguish arterial and venous pulses.
2022 IEEE/ACM CONFERENCE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE 2022)
(2022)
Article
Chemistry, Physical
Zhengjie Li, Kyoung-Ho Ha, Zheliang Wang, Sangjun Kim, Ben Davis, Ruojun Lu, Jayant Sirohi, Nanshu Lu
Summary: This article introduces the application of soft pressure sensors in soft robots, bio-integrated devices, and deformable touch panels, and proposes a solution of a hybrid-response pressure sensor (HRPS). The frequency response of HRPS is shown to be controlled by a dimensionless parameter, and a practical guideline for selecting the optimal measurement frequency is established based on experimental validation.