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Model for biological communication in a nanofabricated cell-mimic driven by stochastic resonance

Nano Communication Networks 2011年第1期2卷 39-49页

作者： Karig, David K. Siuti, Piro Dar, Roy D. Retterer, Scott T. Doktycz, Mitchel J. Simpson, Michael L. Center for Nanophase Materials Sciences Oak Ridge National Laboratory Bethel Valley Road Oak Ridge TN 37831 United States Biosciences Division Oak Ridge National Laboratory Oak Ridge TN 37831 United States Graduate Program in Genome Science and Technology University of Tennessee Knoxville TN 37996 United States Department of Physics and Astronomy University of Tennessee Knoxville TN 37996-2010 United States Department of Materials Science and Engineering University of Tennessee Knoxville TN 37996-2010 United States Center for Environmental Biotechnology University of Tennessee Knoxville TN 37996-2010 United States

Cells offer natural examples of highly efficient networks of nanomachines. Accordingly, both intracellular and intercellular communication mechanisms in nature are looked to as a source of inspiration and instruction for engineered nanocommunication. Harnessing biological functionality in this manner requires an interdisciplinary approach that integrates systems biology, synthetic biology, and nanofabrication. Here, we present a model system that exemplifies the synergism between these realms of research. We propose a synthetic gene network for operation in a nanofabricated cell mimic array that propagates a biomolecular signal over long distances using the phenomenon of stochastic resonance. Our system consists of a bacterial quorum sensing signal molecule, a bistable genetic switch triggered by this signal, and an array of nanofabricated cell mimic wells that contain the genetic system. An optimal level of noise in the system helps to propagate a time-varying AHL signal over long distances through the array of mimics. This noise level is determined both by the system volume and by the parameters of the genetic network. Our proposed genetically driven stochastic resonance system serves as a testbed for exploring the potential harnessing of gene expression noise to aid in the transmission of a time-varying molecular signal. © 2011.

关键词： Gene expression

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Thermophysical Properties of PuO2 and AmO2 Solid Solutions Simulated by Molecular Dynamics

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MRS Online Proceedings Library 2008年第1期1043卷 1-6页

作者： Tosawat Seetawan Thaweewat Khuangthip Vittaya Amornkitbamrung Ken Kurosaki Jun Adachi Masahito Katayama Anek Charoenphakdee Shinsuke Yamanaka Program of Physics Faculty of Science and Technology Sakon Nakhon Rajabhat University Sakon Thailand Integrated Nanotechnology Research Center and Departments of Physics Khon Kaen Thailand Division of Sustainable Energy and Environmental Engineering Graduate School of Osaka University Suita Japan

PuO2 and AmO2 solid solutions: (Pu, Am)O2 are one of the candidates of fuels in a sub-critical accelerator-driven system (ADS). To understand the fuel performance, the thermophysical properties such as thermal conductivity and heat capacity are quite important. However, it is very hard to experimentally determine the physical properties of plutonium as well as americium compounds due to their handling-difficulties. Molecular dynamics (MD) would be a specific method to describe the physical properties of such materials. In the present study, we have investigated thermophysical properties of PuO2, AmO2, and their solid solutions in the temperature range from 300 to 2,500 K. The lattice parameter, compressibility, heat capacity, linear thermal expansion coefficient, and thermal conductivity were evaluated. A Morse-type potential function added to the Busing-Ida type potential was employed as the potential for interatomic interactions. The calculated lattice parameters of (Pu, Am)O2 obeyed Vegard’s law, and the values increased with temperature. The heat capacities of (Pu, Am)O2 were similar in any compositions. The thermal conductivities of (Pu, Am)O2 were lower than those of PuO2 and AmO2, indicating that a point-defect scattering effect of phonons could be realized in the MD calculations.

关键词： composite oxide microstructure

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IoT- Supply Chain Forensics and Vulnerabilities

IoT- Supply Chain Forensics and Vulnerabilities

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International Conference on Artificial Intelligence and Data sciences (AiDAS)

作者： Venkata Venugopal Rao Gudlur Vikneswara Abirama Shanmugan Sundresan Perumal Radin Maya Saphira Radin Mohammed Center for Post Graduate Studies Limkokwing University of Creative Technology Cyberjaya Malaysia Department of Water and Environmental Engineering Universiti Tun Hussein Onn Malaysia Batu Pahat Malaysia Faculty of Science & Technology Universiti Sains Islam Malaysia (USIM) Nilai Malaysia

ISBN: (纸本)9781728130422

The Supply Chain Forensics are latest revolution to save money and reduce the Risk Supply chain management has been developed over many centuries ago from ancient civilization. The review of literature reveals that the current Digital Supply Chain industry is more connected to IoT devices which is latest revolution and future development such as gathering information and tracking goods, has evolved in to smart Supply Chain with RFID based tagging and sensor based technologies connected to IoT (Internet of Things). The use of these devices gives accurate organizational and operational outcome even though there may be unidentified procedural inconsistencies that may weakens the smooth operational procedures. This paper explains about the vulnerabilities related Supply Chain industry 4.0. Even though the application of IoT today not only tracks the goods and services but also predicts helps in future analysis for Supply Chain Industry. The entire digitalized process may help in protecting and reducing losses but there may be vulnerabilities will be identified by digital forensics. The problem really comes into focus when IoT devices are connected in unsecure Supply Chain environment. That may further concern is the fractured digital supply chains that they are relying on by modern industry experts.

关键词： SCF - supply chain forensics IoT - internet of things RFID - radio frequency identification Vulnerability cargo supply chain Internet of things Radio frequency identification Literature Review Revolution Radio Frequency Identification Device Money E-discovery industries

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Prioritization of key indicators for the classification of successional stages in regenerating subtropical Atlantic forest, Southern Brazil: a proposal based on multivariate order statistics

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Environment Systems and Decisions 2023年第2期43卷 232-241页

作者： Bressane, Adriano Siminski, Alexandre Gomes, Isadora Gurjon Melo, Carrie Peres da Rosa, Graziele Coraline Scofano dos Santos Galvão, Amanda Louisi Silva, Mirela Beatriz de Castro Medeiros, Líliam César Negri, Rogério Galante Institute of Science and Technology (ICT) Environmental Engineering Department Campus at São José dos Campos City Rodovia Presidente Dutra Km 1378—Eugênio de Melo12247-004 CEP São José Dos Campos/SP Brazil Agricultural and Natural Ecosystems Graduate Program Federal University of Santa Catarina (UFSC) Campus at Curitibanus City Rod. Ulysses Gaboardi km 3 CEP Curitibanos - SC 89520-000 Brazil Civil and Environmental Engineering Graduate Program São Paulo State University (UNESP) Campus at Bauru City Av. Eng. Luiz Edmundo C. Coube 14-01—Vargem Limpa CEP Bauru—SP/SP 17033-360 Brazil

Statement of problem. Brazilian guidelines establish a set of parameters to classify forest regeneration stages, but there are no criteria or evidence for prioritizing key indicators. Purpose. This study performed a comparative analysis between phytosociological parameters to verify the hypothesis that there is a difference in their explanatory power of the forest regeneration stages. Consequently, it shows the need to prioritize key indicators for classifying forest regeneration stages. Material and methods. The analyzes were carried out using a database of the Floristic Forest Inventory of Santa Catarina, Southern Brazil, composed of 177 sampling units of subtropical Atlantic forest (Mixed Ombrophilous Forest) characterized according to 12 quantitative and qualitative phytosociological parameters. Several statistical tests were performed to analyze the explanatory ability of the phytosociological parameters. Such process includes tests for multivariate ordering, principal component analysis (PCA), discriminant analysis (FDA and QDA), exploratory factor analysis (EFA), and multiple correspondence analysis (MCA). Afterward, is provided a ranking regarding the analyzed indicators based on their usefulness to separate forest regeneration stages, measured in terms of classification accuracy according to the QUEST (Quick Unbiased Efficient Statistical) algorithm. The hypothesis was verified with two-way tests at a significance level (α) equal to 0.05, for a test power (1-β) of 0.8 and a minimum detectable effect of medium size (ρ = 0.3). Results. Statistical significance tests confirmed the research hypothesis. Regarding both the qualitative and quantitative variables, the ranking resulting from the discriminant analysis provided the best accuracy (85.3%). In decreasing priority order, was defined the following parameter order: basal area, number of individuals and species, Shannon diversity index, diameter at breast height, total height, stem height, leaf litter, canop

关键词： Ombrophilous forest Prioritization of indicators Succession stage

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An Approach on Monitoring Evolution of Projects by Professional Performance Assessment: A Case Study at the Amazon Regional Center of the National Institute for Space Research

An Approach on Monitoring Evolution of Projects by Professio...

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Portland International Conference on Management of Engineering and technology (PICMET)

作者： Marck da Silva Márcia Nazaré Rodrigues Barros Lucyana Barros Santos Marcos Adami Alessandra Rodrigues Gomes Foundation for Science Technology and Space Applications São José dos Campos Brasil Post-Graduate Program in Environmental Sciences Federal University of Para Belém Brasil Postgraduate Program in Amazon's Natural Resource Management and Local Development Federal University of Para Belém Brasil INPE Amazon Regional Center Belém Brasil

This work investigates strategic management processes of projects involved in the Brazilian aerospace field, addressing the Regional Center of the Amazon of the National Institute of Space Research. It proposes an approach in the monitoring of the evolution of projects by evaluation of professional performance, showing results in graphs and the need to survey and follow the most evident and significant technological advances in the mapping environment of land use and land cover in the Amazon. It addresses the main difficulties faced in the process of managing projects and people to achieve goals, needing to know the Geographic Information System tools used by employees, such as Terramazon, and their respective times consumed in this type of software. The work intends to serve as a basis for investigating, developing and implementing new management options that will reduce the efforts required by managers and administrators during the process of monitoring the evolution of projects. The methodology of Project Management Institute (PMI) and its Guide to the Project Management Body of Knowledge (PMBOK Guide) was used in this research work, ensuring an international quality.

关键词： Monitoring Project management Forestry Satellites Law Software

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Correlation Equation to Predict HHV of Tropical Peat Based on its Ultimate Analyses

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Procedia Engineering 2015年 125卷 298-303页

作者： Wiwiek Setyawati Enri Damanhuri Puji Lestari Kania Dewi Faculty of Civil and Environmental Engineering Bandung Institute of Technology Jl. Ganesha 10 Bandung 40132 Indonesia Centre for Atmospheric Science and Technology LAPAN Jl. Dr Djundjunan 133 Bandung 40173 Indonesia Graduate Program Bandung Institute of Technology Jl. Ganesha 10 Bandung 40132 Indonesia

The aim of the research is to develop correlation equation to predict HHV of tropical peat based on its ultimate analysis. The Eijkelkamp peat sampler was employed to take samples of peat in five different districts in Pontianak, Indonesia. Samples were taken up to 2 m depth with 50 cm increments therefore total 20 samples were obtained. Ultimate analyses and higher heating value (HHV) of peat were evaluated in order to predict HHV based on its ultimate analyses results. It was found that C, H, O, S, N and ash contents in dry bases (in weight %) had ranges of 15.63 – 59.43%, 2.63 – 6.47%, 13.35 – 36.84%, 0.12 – 3.86%, 0.48 – 2.01% and 1.00 – 64.05%, respectively. HHV had ranges of 8.07 – 21.69 MJ/kg. Based on chemical composition of dry peat therefore new equation formulae to predict HHV peat was HHV = 17.830 + 1.508 H + 0.102 N + 0.575 S – 0.192 O-0.205 Ash, with an average absolute error and bias error of 2.18% and 0.17%, respectively.

关键词： Tropical peat Pontianak ultimate analysis high heating value prediction

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Chemical composition, bioactivities and kinematic viscosity of cucurbita argyrosperma seed oil

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Chemical Engineering Transactions 2018年 64卷 217-222页

作者： Ribeiro, Pedro R. E. Souza, Vanessa S. Reis de Melo, Ana Cristina G. Neto, Agenor T. M. Santos, Ricardo C. Takahashi, Jacqueline A. Ferraz, Vany P. de Melo Filho, Antonio A. Federal University of Roraima Boa Vista-RR Brazil Departament of Chemistry Center for Research and Graduate Studies in Science and Technology NPPGCT UFRR Campus Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil National Postdoctoral Program of CAPES Universidade Federal de Roraima POSAGRO/UFRR Boa Vista-RR Brazil Department of Chemistry Institute of Exact Sciences Universidade Federal de Minas Gerais Belo Horizonte-MG Brazil Chromatography Laboratory Inst. of Exact Sciences Universidade Federal de Minas Gerais Belo Horizonte-MG Brazil Post-Graduate in Natural Resources Program Federal University of Roraima Boa Vista-RR Brazil Post-Graduate Program in Chemistry PPGQ NPPGCT Departament of Chemistry and Post-Graduate in Biotechnology and Biodiversity Program RedeBionorte Federal University of Roraima Boa Vista-RR Brazil

ISBN: (纸本)9788895608563

The aims of this study were to perform a detailed analysis of the chemical composition by gas chromatography, cinematic viscosity in function of temperature by viscometer Schott AVS 350, and biological tests of abóbora (Cucurbita argyrosperma) seed oil, collected in Mucajai city, Roraima state, Brazil. Thus, the abóbora seed samples were manually submitted to the oven at 50 °C for 72 hours, and crushed and sieved between 20-40 Mesh. The seed oil extraction was carried out in a Soxhlet apparatus with hexane for 3 hours, providing an oil yield of 29.8%. In the results were identified a total of 8 fatty acids by gas chromatography;of these 33.8% are saturated fatty acids and 65.7% are unsaturated fatty acids: palmitic (21.5%), stearic (11.6%), oleic (37.0%), linoleic (28.1%) and linolenic (0.3%). In the biological test, the oil was more active against Staphylococcus aureus (29.01%), Listeria monocytogenes (34.56%), Pseudomonas aeruginosa (23.86%) and Citrobacter freundii (32.74%), which features a characteristic low therapeutic index for these bacteria. The kinematic viscosity of the oil reduces in function of temperature (298.15 to 353.15 K) in an exponential curve, demonstrating to refer to a Newtonian fluid. Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Gas chromatography

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Design, development and characterization of polyelectrolyte multilayer membranes for potential filtration applications

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Materials Today: Proceedings 2021年 41卷 530-534页

作者： P. Nikhil Chandra K. Usha Mothi Krishna Mohan Post Graduate and Research Department of Chemistry Sree Narayana College Kollam 691001 India School of Environmental Studies Cochin University of Science and Technology Kochi Kerala 682022 India Kerala Department of Sciences and Humanities Christ University Faculty of Engineering Bangalore Karnataka 560074 India

The present work projects to modify the surface of commercially available microfiltration membranes using polyelectrolyte multilayer assembly. This polyelectrolytic modification changes the nature and properties of the membrane such as porosity, absorption capacity, charge etc. which can be used for potential environmental application such as herbicide removal from water. Chitosan (CHI) and polystyrene sulfonate (PSS) were incorporated into nanostructured polymeric films on polyamide membrane using layer-by-layer (LbL) technique. The developed polyelectrolyte multilayer assembly were characterized by using UV–vis spectroscopy, attenuated total reflectance fourier transform infrared (ATR-FTIR) spectroscopy, thermo gravimetric analysis (TGA) and atomic force microscopy (AFM).

关键词： LbL method Polymeric membranes Water purification Polystyrene sulphonate Polyelectrolyte Chitosan

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Deciphering Water Quality and Algal Dynamics in Clear Lake Through Hyperspectral Analysis Using Emit Data

Deciphering Water Quality and Algal Dynamics in Clear Lake T...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Wenzhao Li Shahryar Fazli Surendra Maharjan Hesham El-Askary Earth Systems Science and Data Solutions Lab Schmid College of Science and Technology Chapman University Orange CA USA Computational and Data Sciences Graduate Program Schmid College of Science and Technology Chapman University Orange CA USA Department of Environmental Sciences Faculty of Science Alexandria University Alexandria Egypt

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

This study evaluates the potential application of hyperspectral Earth Surface Mineral Dust Source Investigation (EMIT) remote sensing for monitoring harmful algal blooms (HABs) and water quality in Clear Lake, California. The research focuses on correlating the chlorophyll-a (Chl-a) concentrations with EMIT spectral signatures, using waterbody-wide statistical analysis of Chl-a and EMIT data sampling at various lake locations. Results demonstrate distinct spectral signatures associated with varying Chl-a levels, highlighting the potential of hyperspectral imaging in differentiating algae levels and assessing water quality variables. It also indicates the EMIT’s utility in filling data gaps and offering high-resolution monitoring. This study underscores the need for further research in hyperspectral imaging for aquatic ecosystems, especially under challenging atmospheric conditions, enhancing our understanding of water quality dynamics.

关键词： Satellites Statistical analysis Algae Water quality Lakes Filling Minerals

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Stochastic multi-objective optimization of hybrid distributed power generation with battery storage systems

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Energy Sources, Part B: Economics, Planning, and Policy 2025年第1期20卷

作者： Aglaucibelly Maciel Barbosa Paulo Rotella Junior Rogério Santana Peruchi Luiz Célio Souza Rocha Arthur Leandro Guerra Pires Karel Janda a Post-Graduate Program in Production Engineering and Systems Federal University of Paraiba João Pessoa Brazil b Department of Production Engineering Federal University of Paraiba João Pessoa Brazilc Faculty of Finance and Accounting Prague University of Economics and Business Prague Czech Republicd Institute of Economic Studies Faculty of Social Sciences Charles University Prague Czech Republic b Department of Production Engineering Federal University of Paraiba João Pessoa Brazil e Management Department - Federal Institute of Education Science and Technology - North of Minas Gerais Almenara Brazil f Institute of Production Engineering and Management Federal University of Itajubá Brazil c Faculty of Finance and Accounting Prague University of Economics and Business Prague Czech Republic

ABSTRACTHybrid energy projects are gaining global interest due to their potential to promote sustainable development. This study addresses a gap in the literature by proposing a stochastic model that assesses the economic feasibility of a hybrid energy system combining wind, photovoltaic generation, and battery storage. Unlike traditional deterministic approaches, the model incorporates uncertainties in key financial and operational variables, improving decision-making in real-world conditions. The optimization framework integrates Design of Experiments (DoE), Response Surface Methodology (RSM), and the Desirability function to balance economic return and financial risk. By maximizing the mean and minimizing the variance of the Net Present Value (NPV), the model identifies an optimal system configuration with 92% wind energy, a demand level of 230 kWh/month, and lithium-ion battery storage. This approach reduces computational complexity and enhances hybrid system viability in regions with strong wind resources, providing a valuable tool for investors and policymakers in sustainable energy planning.

关键词： Multiobjective optimization response surface methodology hybrid power system energy storage economic feasibility

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