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| 1 | Complex formation with nucleic acids and aptamers alters the antigenic properties of platelet factor 4显示文摘 | Miriam E. Jaax Krystin Krauel Thomas Marschall Sven Brandt Julia Gansler Birgitt Fürll Bettina Appel Silvia Fischer Stephan Block Christiane A. Helm Sabine Müller Klaus T. Preissner Andreas Greinacher | 2013 | Blood2013，，： | 1 |
| 2 | Extracellular polysaccharide of Nostoc commune(Cyanobacteria) inhibits fusion of membrane vesicles during desiccation显示文摘 | Donna R Hill Thomas W Keenen Richard F Helm | 1997 | Journal of Applied Phycology1997，，9： | 1 |
| 3 | Ex- traeellular polysaccharide of Nostoc commune ( Cyanobaeteria ) inhibits fusion of membrane vesicles during desiccation显示文摘 | Donna R Hill Thomas W Keenan Richard F Helm | 1997 | Jour- nal of Applied Phyeology1997，9，3： | 1 |
| 4 | Antibacterial activity of cef- quinome against equine bacterial pathogens 显示文摘 | Thomas E Thomas V Wi|helm C | 2006 | Vet Microbio2006，115，： | 1 |
| 5 | The Digital Agricultural Knowledge and Information System(DAKIS):Employing digitalisation to encourage diversified and multifunctional agricultural systems显示文摘Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity,biodiversity,and the provision of ecosystem services.The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems.We present the Digital Agricultural Knowledge and Information System(DAKIS)to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture.To develop the DAKIS,we specified,together with stakeholders,requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools.The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity,the capacity to foster communication and cooperation between farmers and other actors,and the ability to link multiple spatiotemporal scales and sustainability levels.To overcome these challenges,the DAKIS provides a digital platform to support farmers'decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources.The approach integrates remote and in situ sensors,artificial intelligence,modelling,stakeholder-stated demand for biodiversity and ecosystem services,and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design,including natural and agronomic factors,economic and policy considerations,and socio-cultural preferences and settings.Ultimately,the DAKIS embeds the consideration of ecosystem services,biodiversity,and sustainability into farmers'decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers'objectives and societal demands. | Ioanna Mouratiadou Nahleen Lemke Cheng Chen Ariani Wartenberg Ralf Bloch Marco Donat Thomas Gaiser Deepak Hanike Basavegowda Katharina Helming Seyed Ali Hosseini Yekani Marcos Krull Kai Lingemann Joseph Macpherson Marvin Melzer Claas Nendel Annette Piorr Mostafa Shaaban Peter Zander Cornelia Weltzien Sonoko Dorothea Bellingrath-Kimura | 2023 | Environmental Science and Ecotechnology2023，，4： | 0 |
| 6 | 沙特阿拉伯法赫德国王国家图书馆显示文摘沙特阿拉伯法赫德国王国家图书馆是沙特阿拉伯重要的文化建筑之一。EckhardGerber教授和他的设计团队在沙特阿拉伯的首都利雅得完成了该项重要设计,全新的建筑很好地诠释出当代阿拉伯城市的发展与文化,此项设计起到促进城市发展的推动作用。 | Eckhard Gerber Thomas L1ckin Britta Alker Olaf Ballerstedt Carolin Balkenhok Hans Christoph Bittner Markus Grtz Juana Grunwald Thomas Helms Nicole Juchems Alexandra Kranert Ren Koblank Nils Kummer Stefan Lemke Jrg Schneweis Van Hai Nguyen EckhardGerber Gerber Architekten Kienle Planungsgesellschaft 姜敏华 | 2014 | 现代装饰2014，，3： | 0 |
| 7 | Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual prediction显示文摘Chlorine-based disinfection is ubiquitous in conventional drinking water treatment (DWT) and serves to mitigate threats of acute microbial disease caused by pathogens that may be present in source water. An important index of disinfection efficiency is the free chlorine residual (FCR), a regulated disinfection parameter in the US that indirectly measures disinfectant power for prevention of microbial recontamination during DWT and distribution. This work demonstrates how machine learning (ML) can be implemented to improve FCR forecasting when supplied with water quality data from a real, full-scale chlorine disinfection system in Georgia, USA. More precisely, a gradient-boosting ML method (CatBoost) was developed from a full year of DWT plant-generated chlorine disinfection data, including water quality parameters (e.g., temperature, turbidity, pH) and operational process data (e.g., flowrates), to predict FCR. Four gradient-boosting models were implemented, with the highest performance achieving a coefficient of determination, R2, of 0.937. Values that provide explanations using Shapley’s additive method were used to interpret the model’s results, uncovering that standard DWT operating parameters, although non-intuitive and theoretically non-causal, vastly improved prediction performance. These results provide a base case for data-driven DWT disinfection supervision and suggest process monitoring methods to provide better information to plant operators for implementation of safe chlorine dosing to maintain optimum FCR. | Wiley Helm Shifa Zhong Elliot Reid Thomas Igou Yongsheng Chen | 2024 | Frontiers of Environmental Science & Engineering2024，18，2： | 0 |
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