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Precise Tailoring of Polyester Bottlebrush Amphiphiles toward Eco-Friendly Photonic Pigments via Interfacial Self-Assembly

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Angewandte Chemie 2022年第34期134卷

作者： Qilin Guo Runze Xue Dr. Jian Zhao Yuxia Zhang Gea T. van de Kerkhof Dr. Kunyu Zhang Dr. Yuesheng Li Dr. Silvia Vignolini Dr. Dong-Po Song Key Laboratory of Composite and Functional Materials School of Materials Science and Engineering Tianjin University Tianjin 300350 China Institute of Coastal Environmental Pollution Control Key Laboratory of Marine Environment and Ecology Ministry of Education Ocean University of China Qingdao 266100 China Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao 266237 China Department of Chemistry University of Cambridge Cambridge CB2 1EW UK Advanced Materials Research Center Petrochemical Research Institute PetroChina Company Limited Beijing 102206 China

Biodegradable photonic microspheres with structural colors are promising substitutes to polluting microbeads and toxic dyes. Here, amphiphilic polyester- block -poly(ethylene glycol) bottlebrush block copolymers (BBCPs) with polylactic acid or poly(ϵ-caprolactone) as the hydrophobic block are synthesized and used to fabricate eco-friendly photonic pigments. Molecular parameters of BBCPs, including rigidity and symmetry, are precisely tailored by variation of side chain lengths, which enables effective manipulation of interfacial tension ( γ ). Organized spontaneous emulsion mechanism is enabled only when γ falls in a suitable range (10.6–14.3 mN m −1 ), producing ordered water-in-oil-in-water multiple emulsions and ordered porous structures. Consequently, highly saturated and tunable structural colors are observed due to coherent light scattering from the porous structures. Such photonic materials are nontoxic as confirmed by careful safety tests using aquatic model organisms.

关键词： Block Copolymers Interfacial engineering Microplastic Substitutes Photonic Crystals Self-Assembly

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Spin-state Conversion by Asymmetrical Orbital Hybridization in Ni-doped Co3O4to Boost Singlet Oxygen Generation for Microbial Disinfection

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Angewandte Chemie 2024年第12期136卷

作者： Meilin Duan Chao Huang Gong Zhang Hao Shi Pengfei Zhang Limin Li Tong Xu Zhen Zhao Zhujun Fu Jingrui Han Yuanhong Xu Xiaoteng Ding Institute of Biomedical Engineering College of Life Sciences Qingdao University Qingdao 266071 P.R. China Institute of Biomedical Engineering College of Medicine Southwest Jiaotong University Chengdu 610031 Sichuan China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China Department of Urology The Affiliated Hospital of Qingdao University Qingdao 266071 P.R. China Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education Ocean University of China Qingdao 266100 P.R. China School of Materials Science and Engineering Tianjin University Tianjin 300350 P.R. China

Singlet oxygen ( 1 O 2 ) plays a significant role in environmental and biomedical disinfection fields. Electrocatalytic processes hold great potential for 1 O 2 generation, but remain challenging. Herein, a facile Ni doping converted spin-state transition approach is reported for boosting 1 O 2 production. Magnetic analysis and theoretical calculations reveal that Ni occupied at the octahedral site of Co 3 O 4 can effectively induce a low-to-high spin-state transition. The high-spin Ni−Co 3 O 4 generate appropriate binding strength and enhance electron transfer between the Co centers with oxygen intermediates, thereby improving the catalytic activity of Ni−Co 3 O 4 for effective generating 1 O 2 . In neutral conditions, 1×10 6 CFU mL −1 Gram-negative ESBL-producing Escherichia coli ( E. coli ) could be inactivated by Ni−Co 3 O 4 system within 5 min. Further antibacterial mechanisms indicate that 1 O 2 can lead to cell membrane damage and DNA degradation so as to irreversible cell death. Additionally, the developed Ni−Co 3 O 4 system can effectively inactivate bacteria from wastewater and bioaerosols. This work provides an effective strategy for designing high-spin electrocatalysis to boost 1 O 2 generation for disinfection process.

关键词： singlet oxygen spin-related orbital interaction entropy advanced oxidation processes microbial disinfection ROS regulation

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Blind adaptive channel equalization algorithm for underwater acoustic communication based on KF and virtual technology

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and technology (Natural Science Edition) 2019年第6期47卷 69-72页

作者： Yang, Guang Ge, Wei Han, Xiao Zheng, Maochun School of Information and Control Engineering Qingdao University of Technology QingdaoShandong266033 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University Harbin150001 China

As it is difficult to accurately estimate the number and time delay of the multipath, and electrical noise will occur when the system works, the underwater acoustic channels were complicated. Therefore, a virtual technology and Kalman filter (KF) blind adaptive algorithm were combined to construct a blind adaptive channel equalization algorithm both for short distance and for long distance underwater acoustic communications in this paper. The virtual technology treated multipath interference and electrical noise as environmental noise. And the optimal estimation of underwater acoustic data was achieved by using the optimal estimation property of KF under the minimum mean square error (MMSE) criterion. The satisfactory result of short distance (the horizontal distance between the source and receiver is 14 m, the carrier frequency is 10 kHz, the sampling frequency is 100 kHz, and the symbol rate is 64.5 bit/s) and long distance (the horizontal distance between the source and receiver is 5 km, the carrier frequency is 6 kHz, the sampling frequency is 48 kHz, and the symbol rate is 11.8 bit/s) experiments verify the effectiveness of the proposed algorithm. © 2019, Editorial Board of Journal of Huazhong University of Science and technology. All right reserved.

关键词： Kalman filters

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Correction: Significant alterations of intestinal symbiotic microbiota induced by intraperitoneal vaccination mediate changes in intestinal metabolism of NEW Genetically Improved Farmed Tilapia (NEW GIFT, Oreochromis niloticus)

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Microbiome 2023年第1期11卷 20页

作者： Zhenbing Wu Qianqian Zhang Jicheng Yang Jinyong Zhang Jie Fu Chenyuan Dang Mansen Liu Shuyi Wang Yaoyao Lin Jingwen Hao Meiqi Weng Derong Xie Aihua Li State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences Wuhan 430072 China. School of Environmental Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China. Key Laboratory of Aquaculture Disease Control Ministry of Agriculture Beijing China. National Aquatic Biological Resource Center NABRC Wuhan 430072 China. College of Fisheries and Life Dalian Ocean University Dalian 116023 China. Laboratory of Aquatic Parasitology School of Marine Science and Engineering Qingdao Agricultural University Qingdao 266237 China. College of Advanced Agricultural Sciences University of Chinese Academy of Sciences Beijing 100049 China. State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences Wuhan 430072 China. liaihua@***. Key Laboratory of Aquaculture Disease Control Ministry of Agriculture Beijing China. liaihua@***. National Aquatic Biological Resource Center NABRC Wuhan 430072 China. liaihua@***.

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Facilitating renewable natural gas production for a circular bioeconomy: AI-Driven process visualization and data augmentation on biochar-mediated anaerobic digestion

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Chemical engineering Journal 2025年 516卷

作者： Xiaoman He Jingyuan Guo Xihui Kang Xue Ning Huichao Chen Daolun Liang Chen Deng Zutan Li Dekui Shen Huiyan Zhang Richen Lin Jerry D. Murphy Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing 211189 China Advanced Biofuels and Bioproducts Process Development Unit Biological Systems and Engineering Division Lawrence Berkeley National Laboratory Emeryville CA 94608 USA School of Engineering and Architecture University College Cork T23XE10 Cork Ireland Research Ireland MaREI Centre for Energy Climate and Marine Environmental Research Institute University College Cork T23XE10 Cork Ireland School of Chemistry and Chemical Engineering Southeast University Nanjing 211189 China School of Engineering Westlake University Hangzhou Zhejiang 310030 China Institute of Advanced Technology Westlake Institute for Advanced Study Hangzhou Zhejiang 310024 China

The conversion of biomass residues into biochar is a promising strategy for enhancing sustainability within the circular bioeconomy, particularly through its role in improving renewable natural gas production. However, engineering biochar with optimal properties remains a complex challenge, as the relationship between preparation conditions, biochar characteristics, and anaerobic digestion (AD) performance is not fully understood. This study presents an AI-derived full-process prediction approach that integrates machine learning and generative models to guide the rational design of biochar, and optimize its use for biomethane production. Three tree-based regression models were employed to predict AD performance, with the eXtreme Gradient Boosting Regression model demonstrating superior accuracy. Feature importance analysis identified key biochar properties, including electrical conductivity, oxygen content, and specific surface area, as critical factors influencing biomethane production. These properties can be fine-tuned by adjusting pyrolysis conditions and selecting suitable biomass sources. A generative adversarial network was further used to explore a broader data space, helping to identify the optimal combination of parameters for maximizing AD efficiency. This novel AI-driven framework facilitates biochar-mediated renewable natural gas production, offering a scalable and sustainable approach for advancing circular bioeconomy.

关键词： Biochar-mediated anaerobic digestion Circular bioeconomy Data augmentation Machine learning Renewable natural gas

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Identification of Cancer Development Related Pathways Based on Co-Expression Analyses

Identification of Cancer Development Related Pathways Based ...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Hongyang Jiang Zhihang Wang Chaoyi Yin Peishuo Sun Ying Xu Huiyan Sun School of Artificial Intelligence Jilin University Changchun Innovation Group of Marine Engineering Materials and Corrosion Control Southern Marine Science and Engineering Guangdong Laboratory Zhuhai China College of Computer Science and Technology Jilin University Changchun China School of Artificial Intelligence Jilin University Changchun China Computational Systems Biology Lab Institute of Bioinformatics University of Georgia Athens USA School of Artificial Intelligence Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun

ISBN: (数字)9781728162157

ISBN: (纸本)9781728162164

Cancer is a rapidly evolving disease, with complex physiological changes throughout its development. Different patients of the same cancer type may require distinct treatments depending on the level of development. Hence it is essential to identify the genes and biological processes strongly associated with cancer progression to design an effective treatment plan. Our study has found that cancer samples of the same development stage (or grade, subtype) tend to share highly unique co-expression patterns, providing considerably stronger discerning power than differential expressions for cancer staging (and grading, subtyping). Based on this, we have developed a framework for identification and analyses of genes and pathways strongly associated with a cancer's development through identification of co-expression patterns that become increasingly stronger or weaker over cancer samples from early through advanced stages. Functional analyses of such co-expressed genes reveal that (1) cell-cycle, immune response, ribosome, proteasome and oxidative phosphorylation, among others, strongly associate with cancer development, (2) the co-expression patterns among ribosome, proteasome and oxidative phosphorylation genes tend to become increasingly weaker as a cancer advances, for almost all cancer types, and (3) the co-expression patterns among cell cycle and immune response genes tend to become increasingly stronger with cancer progression. We anticipate that co-expression-based analyses like we present here will become a key technique for functional studies of cancer development and evolution.

关键词： Cancer Correlation Indexes Biological processes Physiology Immune system Genetic expression

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Experimental Research on Blind Adaptive Multiuser Detection Algorithm with Different Carrier Frequencies and Severe Overlapping Interference of Spectra

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Binggong Xuebao/Acta Armamentarii 2019年第2期40卷 353-360页

作者： Ge, Wei Yin, Jingwei Yang, Guang Zheng, Maochun Li, Enyu Acoustic science and Technology Laboratory Harbin Engineering University HarbinHeilongjiang150001 China Key Laboratory of Marine Information Acquisition and Security of Ministry of Industry and Information Technology Harbin Engineering University HarbinHeilongjiang150001 China College of Underwater Acoustic Engineering Harbin Engineering University HarbinHeilongjiang150001 China School of Information and Control Engineering Qingdao University of Technology QingdaoShandong266000 China

The carrier frequencies of the interfering users may be inconsistent with those of the expected users when mobile multiuser underwater acoustic communications occur. A blind adaptive multiuser detection(BAMUD)algorithm for carrier frequency inconsistency is proposed for the multiple access interference (MAI) problem produced by inconsistent carrier frequencies in mobile multiuser underwater acoustic communications. The multi-path interference (inter-symbol interference) can be viewed as MAI using virtual user technology, that is, the channel equalization link and the MAI suppression link are combined into one link in the multiuser underwater acoustic communication system, simplifying the communication system structure. The MAI suppression characteristic of Kalman filter-based BAMUD(KF-BAMUD)algorithm, that is, the optimal estimation characteristic of KF under the minimum mean square error criterion, is used to suppress the virtual MAI with different carrier frequencies, the transmission data of the expected user is effectively estimated, thus realizing multiuser communication. A series of multi-user communication experiments under inconsistent carrier frequencies were conducted in Bohai Sea and during its ice period, and the good experimental results have verified the effectiveness of the proposed algorithm. © 2019, Editorial Board of Acta Armamentarii. All right reserved.

关键词： Multiple access interference

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Sensing Matrix Design for MMV Compressive Sensing: An MVDR Approach

Sensing Matrix Design for MMV Compressive Sensing: An MVDR A...

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作者： Zhang, Liang Huang, Lei Li, Bo Yin, Jingwei Bao, Weimin School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Nuance Communication Inc. MontrealQCH3A 3S7 Canada Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin150001 China Science and Technology Council China Aerospace Science and Technology Cooperation Beijing100048 China College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

Compressive sensing (CS) has been widely used in vehicular technology including compressive spectrum sensing, sparse channel estimation, and vehicular communications. The complete procedure of CS consists of sparse representation, sparse measurement, and sparse recovery. In the CS, measurement matrix Φ is utilized to sample a sparse signal, while sensing matrix Ψ is exploited for sparse recovery. It is important to properly design the sensing matrix that significantly affects the signal recovery performance. This paper addresses the issue of the sensing matrix design for the CS with multiple measurement vectors (MMV). We first study sufficient conditions for the MMV-CS and then develop three sensing matrix design approaches in different situations. The proposed methods have their roots in the principle of minimum variance distortionless response (MVDR) beamformer. This allows us to optimally determine the sensing matrix in the framework of the MVDR, which amounts to minimizing local cumulative cross-coherence between Φ and Ψ while keeping the columns of Ψ highly correlated to their counterparts of Φ. Simulation results are presented to verify the effectiveness of the proposed methods. © 1967-2012 IEEE.

关键词： Compressed sensing

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Classes and phyla of the kingdom Fungi

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Fungal Diversity 2024年第5期124卷 1-165页

作者： Nalin N.Wijayawardene Kevin D.Hyde Kirill V.Mikhailov Gabor Peter Andre Aptroot Carmen L.A.Pires‑Zottarelli Bruno T.Goto Yuri S.Tokarev Danny Haelewaters Samantha C.Karunarathna Paul M.Kirk Andre L.C.M.de A.Santiago Ramesh K.Saxena Nathan Schoutteten Madhara K.Wimalasena Vladimir V.Aleoshin Abdullah M.S.Al‑Hatmi Kahandawa G.S.U.Ariyawansa Amanda R.Assuncao Thushara C.Bamunuarachchige Hans‑Otto Baral D.Jayarama Bhat Janusz Błaszkowski Teun Boekhout Nattawut Boonyuen Michael Brysch‑Herzberg Bin Cao Jonathan Cazabonne Xue‑Mei Chen Claudia Coleine Dong‑Qin Dai Heide‑Marie Daniel Suzana B.G.da Silva Francisco Adriano de Souza Somayeh Dolatabadi Manish K.Dubey Arun K.Dutta Aseni Ediriweera Eleonora Egidi Mostafa S.Elshahed Xinlei Fan Juliana R.B.Felix Mahesh C.A.Galappaththi Marizeth Groenewald Li‑Su Han Bo Huang Vedprakash G.Hurdeal Anastasia N.Ignatieva Gustavo H.Jeronimo Ana L.de Jesus Serhii Kondratyuk Jaturong Kumla Martin Kukwa Qirui Li Juliana L.R.Lima Xiao‑Yong Liu Wenhua Lu H.Thorsten Lumbsch Hugo Madrid Franco Magurno Guy Marson Eric H.C.McKenzie Audrius Menkis Armin Mešić Elaine C.R.Nascimento Elena S.Nassonova Yong Nie Naasson V.L.Oliveira Emilia A.Ossowska Julia Pawłowska Ursula Peintner Igor R.Pozdnyakov Bhagya M.Premarathne A.K.Hasith Priyashantha C.Alisha Quandt Mariana B.Queiroz Kunhiraman C.Rajeshkumar Mubashar Raza Niranjan Roy Milan C.Samarakoon Alessandra A.Santos Lidiane A.Santos Felix Schumm Laura Selbmann Faruk Selcuk D.Rabern Simmons Anastasia V.Simakova Maudy Th.Smith Onden Paraparath Sruthi Nakarin Suwannarach Kazuaki Tanaka Saowaluck Tibpromma Elias O.Tomas Merve Ulukapı Nicolas Van Vooren Dhanushka N.Wanasinghe Evi Weber Qianzhen Wu Er Fu Yang Ryuichi Yoshioka Noha H.Youssef Annemarie Zandijk Gui‑Qing Zhang Jin‑Yong Zhang Heng Zhao RuiLin Zhao Oleg A.Zverkov Marco Thines Sergey A.Karpov Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanPeople’s Republic of China Tropical Microbiology Research Foundation 96/N/10Meemanagoda RoadPannipitiya 10230Sri Lanka Department of Bioprocess Technology Faculty of TechnologyRajarata UniversityMihintaleSri Lanka Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiangRai 57100Thailand Innovative Institutefor Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunmingYunnanChina Belozersky Institute of Physicochemical Biology Lomonosov Moscow State UniversityLeninskye Gory1Build.40Moscow 119991Russian Federation Kharkevich Institute for Information Transmission Problems Russian Academy of SciencesMoscow 127051Russian Federation National Collection of Agricultural and Industrial Microorganisms Institute of Food Science and TechnologyHungarian University of Agriculture and Life SciencesSomlóiút 14‑161118 BudapestHungary Instituto de Biociências Universidade Federal de Mato Grosso do SulAvenida Costa e Silvas/n Bairro UniversitárioCampo GrandeMS CEP 79070‑900Brazil Instituto de Pesquisas Ambientais Secretaria do Meio AmbienteInfraestrutura e LogísticaAv.Miguel Stéfano 3687São PauloSP CEP 04301‑902Brazil Departamento de Botânica e Zoologia Universidade Federal do Rio Grande do NorteCampus UniversitárioNatalRN 59078-900Brazil All-Russian Institute of Plant Protection Sh.Podbelskogo 3PushkinSt.Petersburg 196608Russia Research Group Mycology Department of BiologyGhent University9000 GhentBelgium Faculty of Science University of South Bohemia37005ČeskéBudějoviceCzech Republic Department of Ecology and Evolutionary Biology University of Colora

Fungi are one of the most diverse groups of organisms with an estimated number of species in the range of 2–3 *** higher-level ranking of fungi has been discussed in the framework of molecular phylogenetics since Hibbett et al.,and the definition and the higher ranks(e.g.,phyla)of the‘true fungi’have been revised in several subsequent *** accumulation of novel genomic data and the advancements in phylogenetics now facilitate a robust and precise foundation for the higher-level classification within the *** study provides an updated classification of the kingdom Fungi,drawing upon a comprehensive phylogenomic analysis of Holomycota,with which we outline well-supported nodes of the fungal tree and explore more contentious *** accept 19 phyla of Fungi,***,Ascomycota,Basidiobolomycota,Basidiomycota,Blastocladiomycota,Calcarisporiellomycota,Chytridiomycota,Entomophthoromycota,Entorrhizomycota,Glomeromycota,Kickxellomycota,Monoblepharomycota,Mortierellomycota,Mucoromycota,Neocallimastigomycota,Olpidiomycota,Rozellomycota,Sanchytriomycota,and *** the phylogenies,Caulochytriomycota resides in Chytridiomycota;thus,the former is regarded as a synonym of the latter,while Caulochytriomycetes is viewed as a class in *** provide a description of each phylum followed by its classes.A new subphylum,Sanchytriomycotina Karpov is introduced as the only subphylum in *** subclass Pneumocystomycetidae Kirk et *** Pneumocystomycetes,Ascomycota is invalid and thus *** of fossil fungi in phyla and classes are also discussed,providing examples.

关键词： Caulochytriomycota Phylogenomic analyses Pneumocystomycetidae Sanchytriomycotina

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Finite element reverse time migration imaging in tunnels using an unstructured mesh

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Applied Geophysics 2019年 1-9页

作者： Wang, Jing Liu, Jiang-Ping Cheng, Fei Yang, Huai-Jie Huang, Yi-Fan School of Civil Engineering Shijiazhuang Tiedao University Shijiazhuang 050043 China Key Laboratory of Roads and Railway Engineering Safety Control (Shijiazhuang Tiedao University) Ministry of Education Shijiazhuang 050043 China Hebei Technology and innovation center on safe and efficient mining of metal mines Shijiazhuang Tiedao University Shijiazhuang 050043 China Hubei Subsurface Multi-scale Imaging Key Laboratory Institute of Geophysics and Geomatics China University of Geosciences Wuhan 430074 China College of Marine Science and Technology China University of Geosciences Wuhan 430074 China Beijing Research Institute of Uranium Geology Beijing 100029 China

Wave field extrapolation is critical in reverse time migration (RTM). At present, wavefield extrapolation in RTM imaging for tunnels is mostly carried out via the finite difference method. However, complex tunnel models, such as those for karst and fault fracture zones, are constructed using regular grids with straight curves which can easily cause numerical dispersion and reduce imaging accuracy. In this study, the wavefield extrapolation for tunnel RTM was conducted using the finite element method, where an unstructured mesh is employed as the body-fitted partition in a complex model. The Poynting vector calculation equation suitable for the unstructured mesh finite element method was established to suppress low-frequency noise interference. The tunnel space was considered during the wavefield extrapolation to suppress mirror artefacts by using the flexibility of mesh generation. Finally, the influence of the survey layouts (one-sidewall and two-sidewall) on the tunnel imaging results was explored. The RTM results for a simple tunnel model with an inclined interface show that the method based on unstructured meshes can effectively suppress low-frequency noise and mirror artefacts, thus obtaining clearer imaging results. Also, the two-sidewall tunnel survey layout more accurately obtains the real position of the inclined interface ahead of the tunnel face. Complex tunnel numerical modelling and actual data migration results further illustrate the effectiveness of the finite element unstructured mesh method. © 2019, The Editorial Department of APPLIED GEOPHYSICS.

关键词： finite element method mirror artefacts Poynting vector tunnel advanced prediction unstructured mesh

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