Article
Engineering, Biomedical
Jochen Estebano Hernandez Buecher, Oskar Staufer, Lukas Ostertag, Ulrike Mersdorf, Ilia Platzman, Joachim Pius Spatz
Summary: This article describes a bottom-up approach for the controlled assembly of fully-synthetic immune-inspired cells using predefined molecular components, reducing the complexity of the immune system. The study demonstrates the effectiveness of these synthetic immune cells through structural and functional characterization, providing new learning-by-building approaches in synthetic immunology.
Article
Biodiversity Conservation
Ioar Guzman, Paula Altieri, Arturo Elosegi, Ana Victoria Perez-Calpe, Daniel von Schiller, Jose M. Gonzalez, Mario Brauns, Jose M. Montoya, Aitor Larranaga
Summary: The study demonstrates the complex impacts of water diversion and pollution on river ecosystems, directly altering the availability of basal resources and causing changes in the structure and trophic diversity of food webs. Moderate pollution increases food web complexity, with the interaction with water abstraction seeming to amplify this effect.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Roger Rubio-Sanchez, Giacomo Fabrini, Pietro Cicuta, Lorenzo Di Michele
Summary: DNA nanotechnology is used to construct biomimetic nanomachines that are essential for creating complex cell-like entities from the bottom-up. Recent efforts focus on designing biomimetic membrane-anchored DNA nanostructures to impart complex functionalities to cell-like objects.
CHEMICAL COMMUNICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Kevin Jahnke, Vanessa Huth, Ulrike Mersdorf, Na Liu, Kerstin Goepfrich
Summary: In this study, artificial DNA-based cytoskeletons with programmed multifunctionality were assembled inside synthetic cells using light-controlled assembly and disassembly. By using molecular crowders, ordered bundling of DNA filaments and formation of ring-like cortical structures similar to actin rings during cell division were achieved. Additionally, DNA filaments were programmably linked to the compartment periphery using cholesterol-tagged DNA and were able to deform GUVs from within.
Article
Multidisciplinary Sciences
Oskar Staufer, Franziska Dietrich, Rahul Rimal, Martin Schroeter, Sebastian Fabritz, Heike Boehm, Smriti Singh, Martin Moeller, Ilia Platzman, Joachim Pius Spatz
Summary: Extracellular vesicles play a crucial role in intercellular communication and cell physiology, but quantitative knowledge on their signaling mechanisms is lacking, hampering their therapeutic applications. By using a synthetic approach, researchers have shown that synthetic EVs have functionalities similar to natural EVs and can be used for therapeutic purposes in wound healing and neovascularization. Transcriptome profiling has enabled a systematic decoding of synergistic effects between individual EV constituents, leading to a better understanding of EV signaling.
Article
Environmental Sciences
Danxian Wei, Lei Wang, Rama-Krishnan Poopal, Zongming Ren
Summary: Water quality monitoring is a challenging task, and techniques based on biological responses have gained attention worldwide. A real-time online cardiac function assessment system was developed to acquire fish ECG signals, and its effectiveness in evaluating the impact of ammonia on carp heart ECG indexes was studied.
ENVIRONMENTAL POLLUTION
(2023)
Review
Biotechnology & Applied Microbiology
Jiyoung Shim, Chuqing Zhou, Ting Gong, Dasha Aleksandra Iserlis, Hamad Abdullah Linjawi, Matthew Wong, Tingrui Pan, Cheemeng Tan
Summary: The recent development of synthetic biology allows for the design and construction of protein networks from the bottom-up outside of living cells. This new capability enables the assembly of protein networks for studying cellular pathways, expression of proteins, and tissue materials. The integration of natural and synthetic protein networks opens up possibilities for new functions in synthetic or artificial cells.
BIOTECHNOLOGY ADVANCES
(2021)
Article
Chemistry, Inorganic & Nuclear
Stefanos Mourdikoudis, Nikolas Antonatos, Vlastimil Mazanek, Ivo Marek, Zdenek Sofer
Summary: A new seedless solvothermal method based on high-temperature reduction route has been developed to produce bismuthene nanostructures with excellent electrocatalytic performance in NRR. By adjusting reaction conditions, different particle morphologies were obtained, with two-dimensional sheet-like structures and small particles showing high electrocatalytic activity.
INORGANIC CHEMISTRY
(2022)
Review
Biotechnology & Applied Microbiology
Felix Lussier, Oskar Staufer, Ilia Platzman, Joachim P. Spatz
Summary: This article discusses the use of novel modular manufacturing approaches, combined with bottom-up synthetic biology principles and microfluidics, to construct programmable drug carriers in order to overcome some fundamental limitations of nanomedicine.
TRENDS IN BIOTECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Cao Xin, Huairong Zhang, Yihan Wang
Summary: Through the use of the conservation supply curve method, a systematic assessment of 141 technologies from six energy-intensive industries in China was conducted, revealing the potential for energy consumption reduction with the promotion of ECER technologies overall. Key ECER technologies that should be emphasized in each industry were identified, including energy efficiency technologies, management improvement technologies, and equipment modification technologies.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Environmental Sciences
Jia Xing Loi, Adeline Seak May Chua, Mohamad Fairus Rabuni, Chee Keong Tan, Sai Hin Lai, Yasuyuki Takemura, Kazuaki Syutsubo
Summary: This study applied chemometrics to analyze water quality data from three major river basins in Selangor, Malaysia. The results showed spatial and periodic variations in pollution characteristics. Nitrogen species, total suspended solids, and dissolved solids were identified as the major pollution loads, with a significant increasing trend in ammonia pollution. The study highlights the vulnerability of Selangor's water resource system to water pollution and suggests incorporating ammonia treatment facilities into water treatment plants for smooth water supply operations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Physical
Hiromune Eto, Henri G. Franquelim, Michael Heymann, Petra Schwille
Summary: The challenge of recreating cellular geometry and surface functionality for biological reactions, particularly at lipid membrane interfaces, has been addressed by using two-photon direct laser writing to 3D print microenvironments with relevant length scales. This method allows the formation of lipid bilayers on surfaces and evaluation of physiologically relevant membrane compositions, facilitating the reconstitution of functional dynamic protein systems in response to 3D geometry.
Article
Chemistry, Multidisciplinary
Yongwen Ren, Chang Yu, Linshan Wang, Xinyi Tan, Zhao Wang, Qianbing Wei, Yafang Zhang, Jieshan Qiu
Summary: This study systematically investigates the activation and recombination processes of N-2 and O-2 molecules in plasma, and decouples the mechanism of NOx- reduction to NH3, providing a basis for the practical development of ammonia synthesis.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2022)
Article
Chemistry, Inorganic & Nuclear
Yun Ji Park, Marconi N. Penas-Defrutos, Michael J. Drummond, Zachary Gordon, Oscar R. Kelly, Ian J. Garvey, Kelly L. Gullett, Max Garcia-Melchor, Alison R. Fout
Summary: In this study, the modification of the secondary coordination sphere in the non-heme iron system was explored to investigate the mechanism of nitrite reduction. The results showed that changing the secondary coordination sphere can alter the formation of iron-oxo and iron-hydroxo complexes, highlighting the key role of H-bonds in the stability of these species.
INORGANIC CHEMISTRY
(2022)
Review
Energy & Fuels
Yuanyuan Zhang, Haitao Li, Tomas Ramirez Reina, Jian Liu
Summary: Coal resources play a crucial role in modern economic development, but their environmental impact and high energy consumption need to be addressed. This review discusses innovative strategies for sustainable coal conversion and highlights the role of coal in producing high-value-added carbon materials.
Article
Green & Sustainable Science & Technology
Ji Han, Tianyi Du, Chao Zhang, Xuepeng Qian
JOURNAL OF CLEANER PRODUCTION
(2018)
Review
Engineering, Environmental
Chao Zhang, Wei-Qiang Chen, Matthias Ruth
RESOURCES CONSERVATION AND RECYCLING
(2018)
Article
Green & Sustainable Science & Technology
Rui Huang, Klaus Hubacek, Kuishuang Feng, Xiaojie Li, Chao Zhang
Article
Energy & Fuels
Chao Zhang, Lijin Zhong, Jiao Wang
Article
Engineering, Environmental
Jingru Liu, Mingxia Wang, Chao Zhang, Ming Yang, Yingmei Li
RESOURCES CONSERVATION AND RECYCLING
(2020)
Article
Engineering, Environmental
Xinxin Zhang, Xu Zhao, Ruoshui Li, Ganquan Mao, Martin R. Tillotson, Xiawei Liao, Chao Zhang, Yujun Yi
RESOURCES CONSERVATION AND RECYCLING
(2020)
Article
Engineering, Environmental
Zhihan Jiang, Chuke Chen, Nan Li, Heming Wang, Peng Wang, Chao Zhang, Fengmei Ma, Zhihe Zhang, Yuanyi Huang, Jianchuan Qi, Wei-Qiang Chen
Summary: UN Comtrade, a widely used data source for physical trade analysis, faces the issue of outliers that limit its application. To address this issue, researchers developed a framework using kernel density estimation and statistical models to detect and handle outliers, as well as a deviation index to assess their impacts, resulting in improved data quality.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Engineering, Environmental
Zhihe Zhang, Zhihan Jiang, Chuke Chen, Xu Zhang, Heming Wang, Nan Li, Peng Wang, Chao Zhang, Fengmei Ma, Yuanyi Huang, Jianchuan Qi, Wei-Qiang Chen
Summary: This paper introduces a novel approach for improving data accuracy in trade, where missing physical values are estimated using statistical methods, resulting in varying effects on countries and commodities during data processing.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Review
Engineering, Environmental
Chuke Chen, Zhihan Jiang, Nan Li, Heming Wang, Peng Wang, Zhihe Zhang, Chao Zhang, Fengmei Ma, Yuanyi Huang, Xiaohui Lu, Jianlimin Wei, Jianchuan Qi, Wei-Qiang Chen
Summary: This article reviews the impact of international trade on material flows and environmental pressures, highlighting the data discrepancies in the United Nations Commodity Trade Statistics Database (UN Comtrade) and proposing methods to address data quality issues.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Environmental Sciences
Ziqian Xia, Jinquan Ye, Yongan Zhou, Peter D. Howe, Ming Xu, Xianchun Tan, Xi Tian, Chao Zhang
Summary: The study found that climate change experience only has a weak positive correlation with general climate change awareness, and the effect sizes vary considerably across different climate events. People's climate change experiences may not effectively shape their awareness of climate change.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Ziqian Xia, Yanjun Gu, Jiangnan Li, Jinliang Xie, Fangyi Liu, Xing Wen, Xi Tian, Chao Zhang
Summary: Recycling behaviours are crucial for improving resource efficiency and reducing environmental pollution. This study evaluates the effectiveness of behavioural interventions via a meta-analysis, finding that interventions have small to moderate effects. Education, environmental alteration, and campaign interventions are the most effective, while incentives and commitment have weaker effects. Duration and context of the intervention do not significantly impact effectiveness.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Environmental
Si Zhang, Ziqian Xia, Chao Zhang, Xi Tian, Jinliang Xie
Summary: Improving residents' waste recycling behavior is crucial, but there is a significant intention-behavior gap. Intentions alone can predict self-reported behavior, but not actual behavior. The gap is primarily caused by forgetting or habituation, rather than social desirability.
Article
Economics
Sai Liang, Yafei Wang, Chao Zhang, Ming Xu, Zhifeng Yang, Weidong Liu, Hongguang Liu, Anthony S. F. Chiu
ECONOMIC SYSTEMS RESEARCH
(2018)
Article
Ecology
Chao Zhang, Wei-Qiang Chen, Gang Liu, Da-Jian Zhu
ECOLOGICAL ECONOMICS
(2017)
Article
Energy & Fuels
Chao Zhang, Lijin Zhong, Sai Liang, Kelly T. Sanders, Jiao Wang, Ming Xu
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
