Article
Polymer Science
Boyan Du, Xiaoyi Wang, Yuming Xia, Yongbin Wu, Binyu Wu, Siya Huang
Summary: This study reports a nonthermal tunable multishape memory effect in covalently cross-linked cellulosic macromolecular networks. The networks spontaneously organize into supramolecular mesophases by water evaporation-induced self-assembly, endowing them with a broad, reversible hygromechanical response and a unique moisture memory effect. Multishape memory behaviors (dual-, triple-, and quadruple-shape memory) can be achieved under highly tunable and independent control of relative humidity, extending the implications of shape memory polymers in biomedical applications.
Article
Biochemical Research Methods
Jungchan Shin, Toshihiro Kasama, Ryo Miyake
Summary: This paper presents a novel microfluidic immunoassay device based on cellulose material, capable of quantitative analysis with small sample volumes. The device showed comparable sensitivity and accuracy to conventional plastic-based analysis kits.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2022)
Article
Management
Ho-Yin Mak
Summary: The recent development of new technologies and data analytics has led to the rise of the smart city movement, transforming the operations of cities and their services. This article discusses the potential contribution of operations management (OM) to the smart city movement, as well as how smart city operations can expand the scope and depth of OM theory. It also presents promising research directions and examples in domains such as energy, transportation, and retail.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Energy & Fuels
Masoud Karamzadeh, Salman Movahedirad, Mohammad Amin Sobati
Summary: A novel ultrasound-assisted spiral microchannel contactor was proposed for desulfurization of untreated diesel fuel, with results showing higher sulfur removal rate in sonication mode, but increased electrical energy consumption.
Article
Multidisciplinary Sciences
Priya Rani Bhagat, Farheen Naz, Robert Magda
Summary: There is a lack of literature analyzing the role of Artificial Intelligence (AI) in sustainable agriculture, hence this study aims to fill this research gap by providing evidence from previous studies conducted between 2000-2021. The study conducted a systematic bibliographic analysis of 465 articles and reviews related to the utilization of AI in sustainable agriculture. The results indicate a significant increase in the number of academic works published in this field since 2018. Geographically, China, USA, India, Iran, and France are the countries with the highest number of studies. Co-author network analysis reveals interdisciplinary collaborations between prominent authors from the United States, China, the United Kingdom, and Germany. The framework provided by this bibliometric study will assist future researchers in identifying key areas of interest in AI and sustainable agriculture research and exploring co-authorship opportunities.
Article
Chemistry, Applied
Ursula Fillat, Priscilla Vergara, Juan Carlos Villar, Nuria Gomez
Summary: This study evaluates the impact of cellulose nanofibres (CNFs) on the barrier properties of commercial paper and finds that CNFs coatings can improve the quality and air permeability of cardboard packaging. The results show that T-CNFs and c-CNFs coatings exhibit good coverage on the paper with low air permeance values, making them potential coating materials for paper packaging.
PROGRESS IN ORGANIC COATINGS
(2023)
Article
Management
Neva Bojovic
Summary: This paper examines how companies strategically frame their technologies to establish resonance with audiences within and across markets, focusing on the production of enabling technologies for multiple and heterogeneous markets.
Article
Chemistry, Physical
Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci
Summary: In this study, the use of deep learning generative models is proposed to predict drop coalescence in chemical engineering. By training the predictive models with generated synthetic data, the lack of training data and label imbalance problem can be overcome. A novel generative model called DSCVAE is developed for labelled tabular data, which is capable of generating consistent and realistic samples compared to the standard CVAE. By enhancing random forest and gradient boosting classifiers on synthetic data and evaluating their performances based on real experimental data, numerical results show a considerable improvement in prediction accuracy, with DSCVAE outperforming the standard CVAE. This research provides valuable insights into handling imbalanced data for classification problems, particularly in chemical engineering.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Computer Science, Information Systems
Li Da Xu
Summary: Rapid technological advances have led to the development of the next generation of Industry 4.0, also known as Industry 5.0. This new generation requires a combination of emerging technologies such as AI, 5G/6G, and Quantum Computing, which will impact the existing technologies in Industry 4.0. This paper provides a brief overview of the emerging enabling technologies in the context of Industry 4.0.
INFORMATION SYSTEMS FRONTIERS
(2022)
Review
Construction & Building Technology
Sajjad Einizinab, Kourosh Khoshelham, Stephan Winter, Philip Christopher, Yihai Fang, Eric Windholz, Marko Radanovic, Songbo Hu
Summary: This paper comprehensively reviews emerging remote inspection technologies, including cutting-edge technologies in data processing, information extraction, and compliance checks, aiming to reduce time, cost, and safety risks of conventional building work inspections, while improving overall effectiveness. The author also evaluates the suitability of each technology for specific building components and explores the automation capabilities, real-time functionality, and policy implications of these technologies.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Multidisciplinary Sciences
Keivan Mahmoud Aghdami, Abdullah Rahnama, Erden Ertorer, Peter R. Herman
Summary: This study explores the use of ultrashort-pulsed laser filaments to create high density arrays of laser filamented holes in optical fiber, resulting in high refractive index contrast Bragg gratings for telecommunications. The technique combines point-by-point fabrication with post-chemical etching to engineer strong photonic stopbands directly inside the compact and flexible fiber, allowing for high resolution refractive index sensing.
NATURE COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Salwa Saafi, Jiri Hosek, Aneta Kolackova
Summary: Public safety agencies are modernizing their communication networks and enhancing their mission-critical capabilities with novel technologies. They are migrating from traditional land mobile radio systems towards cellular-enabled, next-generation networks. Emergency first responders need advanced devices for situational awareness, and wearable devices, especially cellular-enabled ones, play a crucial role in creating new solutions for enhanced public safety operations.
Article
Green & Sustainable Science & Technology
Naveen Kumar, Rashi Koul, R. C. Singh
Summary: This study investigates blends of diesel, renewable diesel, and ethanol and compares their physicochemical properties. The research shows that adding a suitable amount of renewable diesel can improve the cold flow properties and cetane index of the blends.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Review
Optics
Dragomir N. Neshev, Andrey E. Miroshnichenko
Summary: Optical metasurfaces, which are subwavelength-patterned surfaces that strongly interact with light, have been a popular research topic for over a decade. They offer advantages such as miniaturization of optical elements, novel functionalities for processing hidden light modalities, and the ability to adjust their properties as needed. Numerous applications focused on smart vision have emerged, envisioning the integration of meta-optical devices in robotic systems. The field is now experiencing significant industry demand, which is shaping the challenges and research directions. This review provides an overview of the application focus and discusses current challenges and future research frontiers in the field.
Article
Chemistry, Applied
Elisa S. Ferreira, James Drummond, Anderson T. V. Veiga, Aurelien Sibellas, Samuel Brown, Emily D. Cranston, Mark Martinez
Summary: Understanding water absorbency in paper is challenging due to the simultaneous occurrence of fibre swelling and out-of-plane deformation during liquid imbibition. In this study, we developed iron tracers to map liquid imbibition in paper by precipitating iron oxide nanoparticles during wetting. The iron tracers were found to be firmly attached to the cellulose fibers. Through X-ray micro-computed tomography (μCT) and energy-dispersive X-ray spectroscopy, we demonstrated the distribution of iron in 3D and 2D, and also showed that these iron tracers enhance image contrast and allow for new imaging modalities in μCT for fiber networks.
CARBOHYDRATE POLYMERS
(2023)