Article
Chemistry, Multidisciplinary
Ming Yi, Mi Wang, Yan Wang, Yanlei Wang, Jian Chang, Atefeh Khorsand Kheirabad, Hongyan He, Jiayin Yuan, Miao Zhang
Summary: The study successfully used poly(ionic liquid)s as hydrophilicity modifiers to construct MXene-based lamellar membranes with tunable hydrophilicity. By simple anion exchange, the membrane's permeance and rejection were significantly improved. This method opens up new avenues for building high-performance 2D material-based membranes.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Editorial Material
Multidisciplinary Sciences
Rohit Batra
Summary: This article introduces a machine learning strategy for training predictive models of material properties using multi-fidelity data, which takes advantage of the fact that data are often collected in different ways with varying levels of accuracy. The approach was used to build a model that predicts a key property of materials.
Article
Biophysics
Wenchan Deng, Jing Yang Xu, Hanyong Peng, Cheng Zhi Huang, X. Chris Le, Hongquan Zhang
Summary: This study reports a toehold-exchange translator and translator-mediated DNAzyme motor systems that enable sensitive responses to various nucleic acid targets using the same DNAzyme motor without requiring redesign. The translator efficiently converts nucleic acid targets into specific output DNA, activating the DNAzyme motor and enabling autonomous movement. By adjusting the target-binding region of the translator, the same DNAzyme motor system can respond to multiple nucleic acid targets. The study also demonstrates the construction and operation of four logic gates using the translator and DNAzyme motor, enhancing the biosensing applications of DNA motors.
BIOSENSORS & BIOELECTRONICS
(2022)
Article
Chemistry, Multidisciplinary
Gen Huang, Yingying Li, Shiqian Du, Yujie Wu, Ru Chen, Jin Zhang, Yi Cheng, Shanfu Lu, Li Tao, Shuangyin Wang
Summary: The CNT@SiO2-Pt cathode demonstrates superior power density and stability, effectively addressing phosphate poisoning issue and providing a new path for the commercialization of HT-PEMFCs.
SCIENCE CHINA-CHEMISTRY
(2021)
Article
Biotechnology & Applied Microbiology
Yannan Ruan, Yuze Jiang, Moting Li, Suyun Xu, Jining Zhang, Xuefeng Zhu, Hongbo Liu
Summary: This study investigated the effects of straw biochar prepared by three methods on methane production, substrate degradation, and microbial community structure in anaerobic digestion systems. The results showed that all biochar-supplemented groups had increased biogas yields, with the hydrochar group exhibiting the highest methane yield, which was 45.4% higher than the control. The addition of biochar also reduced the maximum partial pressure of hydrogen in the ethanol-fed reactor. Methane production was found to be directly proportional to the electron exchange capacity (EEC) value of biochar. The bio-aging process increased the EEC value of each kind of biochar and led to increased methane yield, possibly due to changes in surface functional groups or the enrichment of microbial communities.
FERMENTATION-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Yuan Jin, Xiu Zhang, Tianci Feng, Meisheng Li, Huifang Xiao, Shouyong Zhou, Yijiang Zhao, Jing Zhong, Dawei Yang
Summary: In this study, hybrid anion exchange membranes (AEMs) with carbon quantum dots (CQDs) and cross-linking modification were prepared. The hybrid membranes exhibited improved mechanical properties and an expanded hydrophilic domain, leading to enhanced ion transport performance.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2022)
Article
Computer Science, Information Systems
Wenbing Zhao, Izdehar M. M. Aldyaflah, Pranav Gangwani, Santosh Joshi, Himanshu Upadhyay, Leonel Lagos
Summary: This paper presents a secure sensing data processing and logging system designed, implemented, and evaluated using blockchain technology. The system uses a public blockchain as an immutable datastore to log critical data and incorporates innovative blockchain-inspired mechanisms for enhanced security. The system focuses on admission control, data integrity, and data protection, and has been evaluated with two public blockchain systems, IOTA Shimmer test network and Ethereum.
Article
Environmental Sciences
Daniel Jato-Espino, Carmen Ruiz-Puente
Summary: Industrial Symbiosis (IS) offers an opportunity for resource exchange, but overcoming barriers such as mistrust and lack of information is necessary for implementation. This research proposed combining Facilitated Industrial Symbiosis (FIS) and Game Theory (GT) to facilitate waste exchanges and maximize benefits. The study tested this approach in a hypothetical industrial park, emphasizing the key role of facilitators and GT in fostering company participation and optimizing benefits.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Eric Largy, Matthieu Ranz
Summary: Hydrogen-deuterium exchange mass spectrometry (HDX/MS) is used for studying protein conformation dynamics and characterizing oligonucleotide conformations and their interactions with cations, small molecules, and proteins. OligoR is a web-based application that provides dedicated solutions for processing and visualizing native HDX/MS data of oligonucleotides. It offers a simple and robust approach to deconvoluting bimodal isotope distributions and can be extended to various analytes. The results are presented in interactive data tables and can be exported as publication-quality figures.
ANALYTICAL CHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Aaron J. DeSalvio, Alper Adak, Seth C. Murray, Scott C. Wilde, Thomas Isakeit
Summary: In this study, unoccupied aerial system (UAS) field-based high-throughput phenotyping (HTP) was used to collect high-resolution aerial imagery of maize hybrids to detect southern rust and senescence. Machine learning regressions outperformed a general linear model in terms of prediction accuracy and provided new quantitative indicators for maize senescence and southern rust. These findings have practical implications for precision agricultural practices.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Xinlin Li, Jierui Yu, Zhiyong Lu, Jiaxin Duan, H. Christopher Fry, David J. Gosztola, Karan Maindan, Sreehari Surendran Rajasree, Pravas Deria
Summary: The study successfully achieved the goal of driving PCT within nanochannels by synthesizing materials with different electronic properties, and further explored the mechanism of energy transfer and possible pathways to generate long-lived photogenerated charge carriers.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Article
Chemistry, Analytical
Ramin Ekhteiari Salmas, Antoni James Borysik
Summary: The quantification of hydrogen deuterium exchange (HDX) kinetics provides information on the stability of individual amino acids in proteins. The new programming tool HDXmodeller allows for optimization of low-resolution HDX-mass spectrometry (MS) data to understand exchange rates of individual amino acids. The tool also has a unique autovalidation method based on a covariance matrix for quantifying the accuracy of modeled exchange rates.
ANALYTICAL CHEMISTRY
(2021)
Article
Chemistry, Physical
Xinyu Zhang, Yiwen Dong, Huiying Wang, Ziyi Zhao, Wenchun Jiang, Bin Dong, Han Hu, Chenguang Liu, Yongming Chai
Summary: In this study, the researchers explored the activity trends of M(OH)(x) and Cu-M(OH)(x) and discovered that Cu doping can promote the deposition of Fe active sites on metal hydroxides. Based on this finding, they successfully prepared catalysts with excellent OER performance and achieved low overpotential in a water electrolyzer.
Article
Chemistry, Physical
Xinyu Zhang, Yiwen Dong, Huiying Wang, Ziyi Zhao, Wenchun Jiang, Bin Dong, Han Hu, Chenguang Liu, Yongming Chai
Summary: Iron plays a crucial role in the oxygen evolution reaction (OER) activity. Cu doping promotes the deposition of iron active sites on metal hydroxide, and Cu-Co(OH)(2) shows the best iron adsorption capacity. When loaded on a conductive substrate, it exhibits a low overpotential and performs stably in a water electrolyzer.
Article
Engineering, Chemical
Yuhang Guo, Fusheng Pan, Guangzhaoyao Yang, Runnan Zhang, Shiyao Yu, Yuhan Wang, Ziting Zhu, Wenqing Gao, Zhiming Zhang, Tong Li, Zhongyi Jiang
Summary: This study presents a hybrid facilitated transport membrane constructed with metal-covalent organic frameworks (MCOFs) to improve the gas exchange efficiency of poly (4-methyl-1-pentene) (PMP) artificial lung membrane in extracorporeal membrane oxygenation (ECMO).
JOURNAL OF MEMBRANE SCIENCE
(2023)
Article
Engineering, Civil
Qiyu Chen, Zhesi Cui, Gang Liu, Zixiao Yang, Xiaogang Ma
Summary: In this study, a novel method using deep convolutional generative adversarial networks (DCGAN) is proposed to reconstruct complex hydrological structures. The method accurately characterizes multiple-scale spatial structures and ensures simulation efficiency and diversity of heterogeneous patterns.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Chao Ma, Shaunna M. Morrison, A. Drew Muscente, Chengbin Wang, Xiaogang Ma
Summary: Data-driven discovery in geoscience requires a large amount of FAIR data, but the heterogeneous terminology of the geologic time scale hinders data integration. To address this issue, we created a deep-time knowledge base that allows querying age-related geologic information across the entirety of Earth history, providing a platform for addressing complex deep-time questions.
GEOSCIENCE DATA JOURNAL
(2023)
Review
Computer Science, Information Systems
Chenhao Li, Jiyin Zhang, Amruta Kale, Xiang Que, Sanaz Salati, Xiaogang Ma
Summary: The concept of open data has gained attention in both public and academic sectors. While current portals use keywords and faceted models for searching data, there is potential to incorporate more intelligent functions for better data discovery.
Letter
Multidisciplinary Sciences
Xiaogang Ma, Lesley Wyborn, Simon Hodson
Letter
Multidisciplinary Sciences
Clare F. Postlethwaite, Peter S. Liss
Article
Geology
Chengbin Wang, Yuanjun Li, Jianguo Chen, Xiaogang Ma
Summary: This paper presents an effective workflow of building and applying ontologies in geoscience text mining, including case study-based ontology model construction, named entity annotation schema design, and corpus building for training a geological entity recognizer. The research demonstrates that this workflow is effective for designing entity annotation schemas and facilitating large-scale text data mining in geoscience.
ORE GEOLOGY REVIEWS
(2023)
Article
Computer Science, Interdisciplinary Applications
Sergei Shevyrev, Ekaterina V. Gorobeyko, Emmanuel John M. Carranza, Natalia G. Boriskina
Summary: The largest Au-Ag deposits in the eastern Asian region occur along the borders of cratons and superterranes. Meanwhile, intra-terranean areas host numerous small deposits, the prospecting and exploration of which are complicated by natural factors. The novelty of this research includes overcoming difficulties in delineating new prospective areas with machine learning and decreasing vegetation effects for prospecting epithermal Au-Ag deposits.
EARTH SCIENCE INFORMATICS
(2023)
Article
Chemistry, Multidisciplinary
Hanhan He, Jingze Xiao, Jing He, Bo Wei, Xiaogang Ma, Fan Huang, Xiangmin Cai, Yuanxin Zhou, Jingyi Bi, Yiting Zhao, Chunjun Wang, Jingran Wei
Summary: This study constructs an integrated 3D geological model using 476 boreholes in Tongzhou District, Beijing. The model shows detailed information of the shallow subsurface, including 10 major layers representing cyclic sequences of clay, interbedded silt, sand, and gravel. The model is used to evaluate underground geological conditions and analyze a dynamic monitoring model for underground construction.
APPLIED SCIENCES-BASEL
(2023)
Article
Geosciences, Multidisciplinary
Xiaogang Ma, Jolyon Ralph, Jiyin Zhang, Xiang Que, Anirudh Prabhu, Shaunna M. M. Morrison, Robert M. M. Hazen, Lesley Wyborn, Kerstin Lehnert
Summary: The open data movement has revolutionized mineralogy by enabling researchers to explore new scientific topics using available datasets. However, there is a need for better FAIRness of open data to ensure its accessibility and reusability. This paper presents the recent work on building an open data service for Mindat, one of the largest mineral databases, to meet the increasing data needs and accelerate scientific discoveries.
GEOSCIENCE DATA JOURNAL
(2023)
Article
Computer Science, Information Systems
Chao Fan, Xiang Que, Zhe Wang, Xiaogang Ma
Summary: This study evaluates and applies the newly developed spatiotemporal weighted regression framework (STWR), which outperforms conventional models such as ordinary least squares (OLS) and geographically weighted regression (GWR) models in terms of parameter estimation and response prediction. The empirical study reveals the weakening of the cooling effect from green vegetation and the intensification of the warming effect from built-up features over the last 20 years. Therefore, the wide adoption of the STWR model for spatiotemporal studies is suggested.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Geochemistry & Geophysics
Anirudh Prabhu, Shaunna M. M. Morrison, Peter Fox, Xiaogang Ma, Michael L. L. Wong, Jason R. R. Williams, Kenneth N. N. McGuinness, Sergey V. V. Krivovichev, Kerstin Lehnert, Jolyon Ralph, Barbara Lafuente, Robert T. T. Downs, Michael J. J. Walter, Robert M. M. Hazen
Summary: Minerals provide valuable information about planetary bodies and the geosphere's role in the origin and evolution of life. The field of mineralogy has seen increasing data-driven efforts, but there is a need to systematize and synthesize these endeavors. This paper introduces the concept of Mineral Informatics and discusses its vision, foundations, challenges, and future directions, highlighting the importance of data science and informatics methods in integrative mineralogical studies.
AMERICAN MINERALOGIST
(2023)
Article
Environmental Sciences
Jamie-Leigh Robin Abrahams, Emmanuel John M. Carranza
Summary: The study investigates the use of VNIR-SWIR spectroscopy for predicting trace metals in overbank sediments. Regression models were built using spectral absorption feature parameters (SAFPs) derived from measured ground spectra, and the predictive capacities of the models were evaluated. The results suggest that trace metals can be indirectly predicted using the SAFPs associated with goethite and kaolinite.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Amruta Kale, Ziheng Sun, Xiaogang Ma
Summary: Computational workflows are widely used in data analysis, but concerns about reproducibility and reusability hinder collaboration. The Common Workflow Language (CWL) provides a framework to address these concerns. The geoweaver_cwl Python package automatically describes AI/ML workflows into CWL, promoting portability and interoperability.
EARTH SCIENCE INFORMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Amruta Kale, Ziheng Sun, Chao Fan, Xiaogang Ma
Summary: Recently, there has been increased attention on workflow management platforms in the AI community. Traditionally, researchers managed their workflows manually, relying heavily on their memory. However, due to the complexity and unpredictability of AI models, it has become challenging to track and manage data, steps, and history effectively. To make AI workflows more manageable, it is recommended to use a workflow management system like Geoweaver, an open-source platform that allows users to create, modify, and reuse workflows in a centralized location.
APPLIED COMPUTING AND GEOSCIENCES
(2023)
Review
Computer Science, Information Systems
Amruta Kale, Tin Nguyen, Frederick C. C. Harris Jr, Chenhao Li, Jiyin Zhang, Xiaogang Ma
Summary: Recently, there has been remarkable progress in artificial intelligence (AI) and machine learning (ML) models across various domains. The concept of Explainable AI (XAI) has gained increasing attention, as it aims to make AI-based systems more transparent and trustworthy by explaining the decision-making processes of complex models like deep neural networks (DNNs). Provenance, the concept of tracing the origin of data, is considered by many researchers and practitioners as a means to enhance transparency in AI-based systems. This paper conducts a systematic literature review of provenance, XAI, and trustworthy AI (TAI), highlighting their fundamental concepts and the potential of using provenance to achieve explainability in AI-based systems. The paper also discusses recent developments and provides research perspectives for the future, serving as a starting point for scholars and practitioners interested in these areas.
