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Wang D, Li J, Sun X, Hu J, Tan X, Jia Q, Liu J, Zhang X, Wu G, Wang X. New electric field responsive photonic crystals with remarkable yellow-to-green switch for adaptive camouflage. J Colloid Interface Sci 2024; 654:581-591. [PMID: 37862807 DOI: 10.1016/j.jcis.2023.10.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/04/2023] [Accepted: 10/13/2023] [Indexed: 10/22/2023]
Abstract
Electric field responsive photonic crystals take on critical significance in developing adaptive camouflage technology, which are promising materials for adaptive camouflage devices with better fabrication processes and color saturation. However, electric field responsive photonic crystals are primarily susceptible to poor fusion with typical background colors and necessitate the continuous implementation of electric fields to attain specific colors, thus limiting their practical applications. Monodisperse polyvinylpyrrolidone modified cadmium sulfide (PVP/CdS) microspheres with large refractive index are well prepared in this study. Liquid photonic crystals, exhibiting earth-yellow and light green under specific electric field, are obtained with PVP/CdS particles dispersed in propylene carbonate in accordance with the subtractive color mixing principle of structural color and initial color. The resulting electric field responsive photonic crystals are characterized by a simple preparation process, fast electrical response, long-time holding of the earth-yellow state, and reversible color changes between earth-yellow and light green in -3.5 V and + 3.5 V electric field switching. This study can contribute to the development of color-changing devices designed for adaptive camouflage applications.
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Affiliation(s)
- Dong Wang
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
| | - Jingfang Li
- School of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
| | - Xiaohui Sun
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
| | - Jianghua Hu
- College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
| | - Xueqiang Tan
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
| | - Qi Jia
- College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
| | - Jun Liu
- College of Field Engineering, Army Engineering University of PLA, Nanjing 210007, China
| | - Xuyang Zhang
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China.
| | - Guohua Wu
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China; The Key Laboratory of Functional Molecular Solids, Ministry of Education, China.
| | - Xiangwei Wang
- College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin 150001, China; Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China.
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Aliberti S, Gramegna A, Zucchetti S, Simonetta E, Amati F, Castelli D, Cavallero A, Franceschi E, Conio V, Grosso A, Faverio P, Radovanovic D, Terraneo S, Di Marco F, Pesci A, Airoldi C, Valenti V, Corsico A, Santus P, Centanni S, Sotgiu G, Blasi F. Respiratory viruses in stable bronchiectasis: A multicenter evaluation in Northern Italy. Respir Med 2022; 205:107056. [PMID: 36423458 DOI: 10.1016/j.rmed.2022.107056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 07/10/2022] [Accepted: 11/17/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Stefano Aliberti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, Respiratory Unit, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
| | - Andrea Gramegna
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Respiratory Unit and Cystic Fibrosis Adult Center, Milan, Italy; Università degli Studi di Milano, Department of Pathophysiology and Transplantation, Milan, Italy
| | - Stefano Zucchetti
- Clinica Pneumologica, Università degli Studi Milano-Bicocca, ASST Monza, Italy
| | - Edoardo Simonetta
- IRCCS Humanitas Research Hospital, Respiratory Unit, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Francesco Amati
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, Respiratory Unit, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Daniele Castelli
- Microbiology Unit, ASST Monza - S. Gerardo Hospital, Monza, Italy
| | | | - Elisa Franceschi
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Division of Pulmonary Diseases, Ospedale L. Sacco, ASST Fatebenfratelli-Sacco, Milan, Italy
| | - Valentina Conio
- Division of Respiratory Diseases, IRCCS Policlinico San Matteo Foundation, Pavia, Italy
| | - Amelia Grosso
- Division of Respiratory Diseases, IRCCS Policlinico San Matteo Foundation, Pavia, Italy
| | - Paola Faverio
- Clinica Pneumologica, Università degli Studi Milano-Bicocca, ASST Monza, Italy
| | - Dejan Radovanovic
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Division of Pulmonary Diseases, Ospedale L. Sacco, ASST Fatebenfratelli-Sacco, Milan, Italy
| | - Silvia Terraneo
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Fabiano Di Marco
- Respiratory Unit, Papa Giovanni XXIII Hospital, Bergamo, University of Milan, Italy
| | - Alberto Pesci
- Clinica Pneumologica, Università degli Studi Milano-Bicocca, ASST Monza, Italy
| | - Cristina Airoldi
- Department of Biotechnology and Biosciences, University of Milano - Bicocca, P.zza della Scienza 2, 20126, Milan, Italy
| | - Vincenzo Valenti
- Department of Health Bioscience, University of Milan - Respiratory Unit, Policlinico di San Donato, IRCCS - San Donato Milanese, Milan, Italy
| | - Angelo Corsico
- Division of Respiratory Diseases, IRCCS Policlinico San Matteo Foundation, Pavia, Italy
| | - Pierachille Santus
- Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Division of Pulmonary Diseases, Ospedale L. Sacco, ASST Fatebenfratelli-Sacco, Milan, Italy
| | - Stefano Centanni
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Giovanni Sotgiu
- Department of Medical, Surgical and Experimental Sciences, Clinical Epidemiology and Medical Statistics Unit, University of Sassari, Sassari, Italy
| | - Francesco Blasi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Respiratory Unit and Cystic Fibrosis Adult Center, Milan, Italy; Università degli Studi di Milano, Department of Pathophysiology and Transplantation, Milan, Italy
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Davies KW, Leger EA, Boyd CS, Hallett LM. Living with exotic annual grasses in the sagebrush ecosystem. J Environ Manage 2021; 288:112417. [PMID: 33765575 DOI: 10.1016/j.jenvman.2021.112417] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 06/12/2023]
Abstract
Exotic annual grasses dominate millions of hectares and increase fire frequency in the sagebrush ecosystem of North America. This devastating invasion is so costly and challenging to revegetate with perennial vegetation that restoration efforts need to be prioritized and strategically implemented. Management needs to break the annual grass-fire cycle and prevent invasion of new areas, while research is needed to improve restoration success. Under current land management and climate regimes, extensive areas will remain annual grasslands, because of their expansiveness and the low probability of transition to perennial dominance. We propose referring to these communities as Intermountain West Annual Grasslands, recognizing that they are a stable state and require different management goals and objectives than perennial-dominated systems. We need to learn to live with annual grasslands, reducing their costs and increasing benefits derived from them, at the same time maintaining landscape-level plant diversity that could allow transition to perennial dominance under future scenarios. To accomplish this task, we propose a framework and research to improve our ability to live with exotic annual grasses in the sagebrush biome.
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Affiliation(s)
- Kirk W Davies
- Eastern Oregon Agricultural Research Center, USDA-Agricultural Research Service, 67826-A Hwy 205, Burns, OR, 97720, USA.
| | - Elizabeth A Leger
- Department of Biology, University of Nevada, Reno, 1664 N. Virginia St., Reno, NV, 89557, USA
| | - Chad S Boyd
- Eastern Oregon Agricultural Research Center, USDA-Agricultural Research Service, 67826-A Hwy 205, Burns, OR, 97720, USA
| | - Lauren M Hallett
- Department of Biology and Environmental Studies Program, University of Oregon, 12010 University of Oregon, Eugene, OR, 97405, USA
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Abstract
In light of ever apparent limitation of the current dominant cancer mutation theory, a quantitative hypothesis for cancer genesis and progression, endogenous molecular-cellular network hypothesis has been proposed from the systems biology perspective, now for more than 10 years. It was intended to include both the genetic and epigenetic causes to understand cancer. Its development enters the stage of meaningful interaction with experimental and clinical data and the limitation of the traditional cancer mutation theory becomes more evident. Under this endogenous network hypothesis, we established a core working network of hepatocellular carcinoma (HCC) according to the hypothesis and quantified the working network by a nonlinear dynamical system. We showed that the two stable states of the working network reproduce the main known features of normal liver and HCC at both the modular and molecular levels. Using endogenous network hypothesis and validated working network, we explored genetic mutation pattern in cancer and potential strategies to cure or relieve HCC from a totally new perspective. Patterns of genetic mutations have been traditionally analyzed by posteriori statistical association approaches in light of traditional cancer mutation theory. One may wonder the possibility of a priori determination of any mutation regularity. Here, we found that based on the endogenous network theory the features of genetic mutations in cancers may be predicted without any prior knowledge of mutation propensities. Normal hepatocyte and cancerous hepatocyte stable states, specified by distinct patterns of expressions or activities of proteins in the network, provide means to directly identify a set of most probable genetic mutations and their effects in HCC. As the key proteins and main interactions in the network are conserved through cell types in an organism, similar mutational features may also be found in other cancers. This analysis yielded straightforward and testable predictions on an accumulated and preferred mutation spectrum in normal tissue. The validation of predicted cancer state mutation patterns demonstrates the usefulness and potential of a causal dynamical framework to understand and predict genetic mutations in cancer. We also obtained the following implication related to HCC therapy, (1) specific positive feedback loops are responsible for the maintenance of normal liver and HCC; (2) inhibiting proliferation and inflammation-related positive feedback loops, and simultaneously inducing liver-specific positive feedback loop is predicated as the potential strategy to cure or relieve HCC; (3) the genesis and regression of HCC is asymmetric. In light of the characteristic property of the nonlinear dynamical system, we demonstrate that positive feedback loops must be existed as a simple and general molecular basis for the maintenance of phenotypes such as normal liver and HCC, and regulating the positive feedback loops directly or indirectly provides potential strategies to cure or relieve HCC.
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Affiliation(s)
- Gaowei Wang
- Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Pathology, University of California, San Diego, La Jolla, CA, 92093-0864, USA
| | - Ruoshi Yuan
- Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Systems Biology, Harvard University, Boston, MA, USA
| | - Xiaomei Zhu
- Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Quantitative Life Sciences and Physics Department, Shanghai University, Shanghai, China
| | - Ping Ao
- Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Center for Quantitative Life Sciences and Physics Department, Shanghai University, Shanghai, China.
- State Key Laboratory for Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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