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Tungsten 2020年第4期2卷 423-432页

作者： Ting Gao Xuan Wu Gary Owens Hao‑Lan Xu future industries institute University of South AustraliaAdelaideSA 5095Australia

Improving the evaporation rate and energy efficiency of solar steam generation is very important to facilitate real-world applications for clean water *** this work,Co_(3)O_(4)@polydopamine(PDA)nanoparticles were synthesized and combined with reduced graphene oxide(rGO)to fabricate a new Co_(3)O_(4)@PDA-rGO photothermal *** obtained pho-tothermal aerogel sheet was thereafter used to prepare both two-dimensional(2D)and three-dimensional(3D)photothermal evaporators for solar steam *** to the excellent light absorption and hydrophilicity of the photothermal aerogel,a high evaporation rate of 1.60 kg·m^(−2)·h^(−1) was achieved for the 2D photothermal *** for the 3D evaporator,the evaporation rate was dramatically increased to 3.71 kg·m^(−2)·h^(−1) with a corresponding light-to-vapor energy efficiency of 107%.This was attributed to an increased evaporation surface area,decreased energy loss from the top evaporation surface to the environment,and energy gain from the environment on the side evaporation *** 3D evaporator also showed excellent practical performance in seawater desalination thus demonstrating great potential for real-world applications.

关键词： Solar-steam generation Cobalt oxide Polydopamine Reduced graphene oxide Photothermal materials Seawater desalination

Lipid droplets in the nervous system:involvement in cell metabolic homeostasis

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Neural Regeneration Research 2025年第3期20卷 740-750页

作者： Yuchen Zhang Yiqing Chen Cheng Zhuang Jingxuan Qi Robert Chunhua Zhao Jiao Wang School of Life Sciences Shanghai UniversityShanghaiChina School of Medicine Shanghai UniversityShanghaiChina institute of Basic Medical Sciences Chinese Academy of Medical Sciences School of Basic MedicinePeking Union Medical CollegeBeijingChina Center of Excellence in Tissue Engineering Chinese Academy of Medical SciencesBeijingChina Beijing Key Laboratory of New Drug Development and Clinical Trial of stem Cell Therapy BeijingChina

Lipid droplets serve as primary storage organelles for neutral lipids in neurons,glial cells,and other cells in the nervous *** droplet formation begins with the synthesis of neutral lipids in the endoplasmic ***,lipid droplets were recognized for their role in maintaining lipid metabolism and energy homeostasis;however,recent research has shown that lipid droplets are highly adaptive organelles with diverse functions in the nervous *** addition to their role in regulating cell metabolism,lipid droplets play a protective role in various cellular stress ***,lipid droplets exhibit specific functions in neurons and glial *** of lipid droplet formation leads to cellular dysfunction,metabolic abnormalities,and nervous system *** review aims to provide an overview of the role of lipid droplets in the nervous system,covering topics such as biogenesis,cellular specificity,and ***,it will explore the association between lipid droplets and neurodegenerative *** the involvement of lipid droplets in cell metabolic homeostasis related to the nervous system is crucial to determine the underlying causes and in exploring potential therapeutic approaches for these diseases.

关键词： Alzheimer's disease lipid droplet biogenesis lipid droplets lipid metabolism nervous system neurodegenerative disorders oxidative stress Parkinson's disease

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Machine Learning-Based Detection and Selective Mitigation of Denial-of-Service Attacks in Wireless Sensor Networks

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Computers, Materials & Continua 2025年第2期82卷 2475-2494页

作者： Soyoung Joo So-Hyun Park Hye-Yeon Shim Ye-Sol Oh Il-Gu Lee Department of future Convergence Technology Engineering Sungshin Women’s UniversitySeoul02844Republic of Korea

As the density of wireless networks increases globally, the vulnerability of overlapped dense wireless communications to interference by hidden nodes and denial-of-service (DoS) attacks is becoming more apparent. There exists a gap in research on the detection and response to attacks on Medium Access Control (MAC) mechanisms themselves, which would lead to service outages between nodes. Classifying exploitation and deceptive jamming attacks on control mechanisms is particularly challengingdue to their resemblance to normal heavy communication patterns. Accordingly, this paper proposes a machine learning-based selective attack mitigation model that detects DoS attacks on wireless networks by monitoring packet log data. Based on the type of detected attack, it implements effective corresponding mitigation techniques to restore performance to nodes whose availability has been compromised. Experimental results reveal that the accuracy of the proposed model is 14% higher than that of a baseline anomaly detection model. Further, the appropriate mitigation techniques selected by the proposed system based on the attack type improve the average throughput by more than 440% compared to the case without a response.

关键词： Distributed coordinated function mechanism jamming attack machine learning-based attack detection selective attack mitigation model selective attack mitigation model selfish attack

Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning

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Advances in Atmospheric Sciences 2025年第2期42卷 297-312页

作者： Nina HORAT Sina KLERINGS Sebastian LERCH institute of Statistics Karlsruhe Institute of TechnologyKarlsruhe 76185Germany Heidelberg institute for Theoretical Studies Heidelberg 69118Germany

Weather forecasts from numerical weather prediction models play a central role in solar energy forecasting,where a cascade of physics-based models is used in a model chain approach to convert forecasts of solar irradiance to solar power *** simulations from such weather models aim to quantify uncertainty in the future development of the weather,and can be used to propagate this uncertainty through the model chain to generate probabilistic solar energy ***,ensemble prediction systems are known to exhibit systematic errors,and thus require post-processing to obtain accurate and reliable probabilistic *** overarching aim of our study is to systematically evaluate different strategies to apply post-processing in model chain approaches with a specific focus on solar energy:not applying any post-processing at all;post-processing only the irradiance predictions before the conversion;post-processing only the solar power predictions obtained from the model chain;or applying post-processing in both *** a case study based on a benchmark dataset for the Jacumba solar plant in the U.S.,we develop statistical and machine learning methods for postprocessing ensemble predictions of global horizontal irradiance(GHI)and solar power ***,we propose a neural-network-based model for direct solar power forecasting that bypasses the model *** results indicate that postprocessing substantially improves the solar power generation forecasts,in particular when post-processing is applied to the power *** machine learning methods for post-processing slightly outperform the statistical methods,and the direct forecasting approach performs comparably to the post-processing strategies.

关键词： solar forecasting post-processing probabilistic forecasting machine learning model chain

A comparative study of polymer nanocomposites containing multi-walled carbon nanotubes and graphene nanoplatelets

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Nano Materials Science 2022年第3期4卷 185-204页

作者： Xiao Su Ruoyu Wang Xiaofeng Li Sherif Araby Hsu-Chiang Kuan Mohannad Naeem Jun Ma University of South Australia UniSA STEM and Future Industries InstituteMawson LakesSA5095Australia College of Materials Science and Engineering Beijing University of Chemical TechnologyBeijing100029China Department of Energy Application Engineering Far East UniversityTainan744China School of Engineering and Digital Sciences Nazarbayev UniversityNur-Sultan010000Kazakhstan

Featuring exceptional mechanical and functional performance, MWCNTs and graphene(nano)platelets(GNPs or Gn Ps;each platelet below 10 nm in thickness) have been increasingly used for the development of polymer nanocomposites. Since MWCNTs are now cost-effective at US$30 per kg for industrial applications, this work starts by briefly reviewing the disentanglement and surface modification of MWCNTs as well as the properties of the resulting polymer nanocomposites. GNPs can be made through the thermal treatment of graphite intercalation compounds followed by ultrasonication;GNPs would have lower cost yet higher electrical conductivity over 1,400 S cmthan MWCNTs. Through proper surface modification and compounding techniques, both types of fillers can reinforce or toughen polymers and simultaneously add anti-static performance. A high ratio of MWCNTs to GNPs would increase the synergy for polymers. Green, solvent-free systhesis methods are desired for polymer nanocomposites. Perspectives on the limitations, current challenges and future prospects are provided.

关键词： Graphene(nano)platelets(GNPs) Multi-walled carbon nanotubes(MWCNTs) Polymer nanocomposites Synergistic effect

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Linking the Gawler Craton and Mount Isa Province through hydrothermal systems in the Peake and Denison Domain,northeastern Gawler Craton

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Geoscience Frontiers 2023年第5期14卷 108-125页

作者： Mitchell J.Bockmann Justin L.Payne Martin Hand Laura J.Morrissey Antonio P.Belperio Department of Earth Sciences University of AdelaideAdelaideSAAustralia Mineral Exploration Cooperative Research Centre University of AdelaideAdelaideSAAustralia unisa stem University of South AustraliaAdelaideSAAustralia Mineral Exploration Cooperative Research Centre Future Industries InstituteUniversity of South AustraliaAdelaideSAAustralia Demetallica Ltd NorwoodSAAustralia

Tectonic reconstructions of Proterozoic Australia commonly place the Peake and Denison Domain of the northeastern Gawler Craton at the interface between the North and South Australian cratons prior to the reconfiguration of Australia’s main tectonic components in the ***,this reconstruction is largely based on palaeomagnetic data as the geological correlations between these regions are currently limited,particularly during the *** early Mesoproterozoic period is significant as it corresponds to major IOCG mineralization in the eastern Gawler Craton between 1600 Ma and 1575 Ma,and IOCG mineralization in the Mount Isa Province largely between 1550 Ma and 1490 ***,determining the relationship of the Peake and Denison Domain to the Gawler Craton and Mount Isa Province during this period is essential to evaluating mineral prospectivity in the northeastern Gawler *** U–Pb LA-ICP-MS geochronology on zircon and titanite improves our understanding of the tectonothermal and hydrothermal history the Peake and Denison Domain during the latePalaeoproterozoic,early-Mesoproterozoic and the Cambrian–Ordovician *** formed within largely calc-silicate alteration assemblages indicates the Peake and Denison Domain has a protracted history of hydrothermal activity,recording events at c.1565 Ma,1530–1515 Ma,c.1500 Ma,c.1465 Ma and c.490 *** highly calcic nature of the c.1565–1500 Ma alteration in the Peake and Denison Domain shares strong similarities in age and character to the regional calcic-sodic alteration recorded in the Mount Isa *** suggest the two regions were influenced by similar hydrothermal systems during the early Mesoproterozoic,supporting reconstruction models that place the Peake and Denison Domain near the Mount Isa Province during the *** highlights the prospectivity of the Peake and Denison Domain for Isan-style IOCG mineralization,but requires consideration of the post-

关键词： Peake and Denison Gawler Craton Mount Isa IOCG Tectonic reconstruction Titanite

3D printing interface-modified PDMS/MXene nanocomposites for stretchable conductors

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Journal of Materials Science & Technology 2022年第22期117卷 174-182页

作者： Mathias Aakyiir Brayden Tanner Pei Lay Yap Hadi Rastin Tran Thanh Tung Dusan Losic Qingshi Meng Jun Ma unisa stem and future industries institute University of South AustraliaSouth Australia 5095Australia ARC Hub for Graphene Enabled Industry Transformation School of Chemical Engineering and Advanced MaterialsThe University of AdelaideAdelaideSouth Australia 5005Australia Commonwealth Scientific and Industrial Research Organisation(CSIRO)Manufacturing ClaytonVictoria 3168Australia College of Aerospace Engineering Shenyang Aerospace UniversityShenyangLiaoning 110136China

Additive manufacturing has rapidly evolved over recent years with the advent of polymer inks and those inks containing novel *** compatibility of polymer inks with nanomaterial inks remains a great *** yet effective methods for interface improvement are highly sought-after to significantly enhance the functional and mechanical properties of printed polymer *** this study,we developed and modified a Ti_(3)C_(2) MXene ink with a siloxane surfactant to provide compatibility with a polydimethylsiloxane(PDMS)*** rheology of all the inks was investigated with parameters such as complex modulus and viscosity,confirming a self-supporting ink behaviour,whilst Fourier transform infrared spectroscopy exposed the inks’reaction *** modified MXene nanosheets have displayed strong interactions with PDMS over a wide strain *** electrical conductivity of 6.14×10^(−2) S cm^(−1) was recorded for a stretchable nanocomposite conductor containing the modified MXene *** nanocomposite revealed a nearly linear stress-strain relationship and a maximum stress of 0.25 *** 5%strain,the relative resistance change remained below 35%for up to 100 cycles,suggesting high flexibility,conductivity and mechanical *** study creates a pathway for 3D printing conductive polymer/nanomaterial inks for multifunctional applications such as stretchable electronics and sensors.

关键词： 3D printing MXene Nanocomposites Stretchable conductors

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Critical biomarkers for responsive deep brain stimulation and responsive focal cortex stimulation in epilepsy field

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Fundamental Research 2025年第1期5卷 103-114页

作者： Zhikai Yu Binghao Yang Penghu Wei Hang Xu Yongzhi Shan Xiaotong Fan Huaqiang Zhang Changming Wang a d Jingjing Wang Shan Yu Guoguang Zhao Department of Neurosurgery Xuanwu HospitalCapital Medical UniversityBeijing 100053China Laboratory of Brain Atlas and Brain Inspired Intelligence Institute of AutomationChinese Academy of ScienceBeijing 100190China Clinical Research Center for Epilepsy Capital Medical UniversityBeijing 100053China Laboratory of Brain Inspired Intelligence Capital Medical UniversityBeijing 100053China School of future Technology University of Chinese Academy of ScienceBeijing 101408China

To derive critical signal features from intracranial electroencephalograms of epileptic patients in order to design instructions for feedback-type electrical stimulation *** Detrended Fluctuation Analysis(DFA)exponent is chosen as the classification exponent,and the disparities between indicators representing distinct seizure states and the classification efficacy of rudimentary machine learning models are *** DFA exponent exhibited a statistically significant variation among the pre-ictal,ictal period,and post-ictal *** Linear Discriminant Analysis model demonstrates the highest accuracy among the three basic machine learning models,whereas the Naive Bayesian model necessitates the least amount of computational and storage *** set of DFA exponents is employed as an intermediary variable in the machine learning *** resultant model possesses the capability to function as a feedback trigger program for electrical stimulation systems of the feedback variety,specifically within the domain of neural modulation in epilepsy.

关键词： Biomarker Critical state Feedback electrical stimulation Epilepsy Brain computer interface

Prox1a promotes liver growth and differentiation by repressing cdx1b expression and intestinal fate transition in zebrafish

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Journal of Genetics and Genomics 2025年第1期52卷 66-77页

作者： Yingying Hu Zhou Luo Meiwen Wang Zekai Wu Yunxing Liu Zhenchao Cheng Yuhan Sun Jing-Wei Xiong Xiangjun Tong Zuoyan Zhu Bo Zhang Key Laboratory of Cell Proliferation and Differentiation of the Ministry of Education College of Life SciencesPeking UniversityBeijing 100871China Laboratory of Chemical Genomics School of Chemical Biology and BiotechnologyPeking University Shenzhen Graduate SchoolShenzhen University TownShenzhenGuangdong 518055China College of Biological Sciences China Agricultural UniversityBeijing 100193China institute of Molecular Medicine College of Future TechnologyPeking UniversityBeijing 100871China

The liver is a key endoderm-derived multifunctional organ within the digestive *** homeobox 1(Prox1)is an essential transcription factor for liver development,but its specific function is not well ***,we show that hepatic development,including the formation of intrahepatic biliary and vascular networks,is severely disrupted in prox1a mutant *** find that Prox1a is essential for liver growth and proper differentiation but not required for early hepatic cell fate ***,prox1a depletion leads to ectopic initiation of a Cdx1b-mediated intestinal program and the formation of intestinal lumen-like structures within the *** knockdown of cdx1b alleviates liver defects in the prox1a mutant ***,chromatin immunoprecipitation analysis reveals that Prox1a binds directly to the promoter region of cdx1b,thereby repressing its ***,our findings indicate that Prox1a is required to promote and protect hepatic development by repression of Cdx1b-mediated intestinal cell fate in zebrafish.

关键词： Zebrafish Liver development prox1a cdx1b Cell fate transition

可用于纸尿裤排尿监测的碳量子点纳米束基柔性湿度传感器研究（英文）

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Science China Materials 2025年

作者：赵越芳杨华彬张起睿雷程周娜史容瑞石磊吴晋涛罗后明毛海央 institute of Microelectronics of the Chinese Academy of Sciences College of future Technology Peking University University of Chinese Academy of Sciences North University of China Key Lab of Instrumentation Science & Dynamic Measurement

本文提出了一种高密度、大厚度柔性叉指电极及其晶圆级制备方法,同时利用纳米森林开发了一种具有丰富活性位点和水分子毛细凝聚效应的碳量子点纳米束(CQDB)复合结构,以之为湿敏材料,构建了基于高密度、大厚度叉指电极的超高性能柔性湿...

本文提出了一种高密度、大厚度柔性叉指电极及其晶圆级制备方法,同时利用纳米森林开发了一种具有丰富活性位点和水分子毛细凝聚效应的碳量子点纳米束(CQDB)复合结构,以之为湿敏材料,构建了基于高密度、大厚度叉指电极的超高性能柔性湿度传感器,与常规器件相比,在7%–59%RH和59%–97%RH湿度范围内的灵敏度分别提高了2.5倍和5.8倍.此外,该器件还具有成本低、制备简单、操作方便等突出优点,为其获得广泛应用奠定了基础.为了研究该器件的潜在应用价值,论文进一步展示了其在纸尿裤湿度与排尿检测中的功能,表明该传感器在可穿戴湿度监测方面具有重要应用前景.

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