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Oral squamous cell carcinoma： epidemiologic profile in Mato Grosso State, Brazil

中国口腔颌面外科杂志 2008年第B5期6卷 131-132页

作者： fabiano tonaco borges Clea Adas Saliba Garbin Artur Aburad de Carvalhosa Paulo Henrique de Souza Castro Luiz Evaristo Ricci Volpato Fernanda Vieira Bezerra Department of Post-Graduation Program Social and Preventive Dentistry Sao Paulo State University Aracatuba - Soo Paulo State - Brazil Department of Oral Pathology Mato Grosso State He alth Public School Cuiabd- Mato Grosso State Brazil Department of Oral and Maxillofacial Surgery Mato Grosso State Cancer Hospital Cuiabd - Mato Grosso State Brazil Department of Pediatric Dentistry Mato Grosso State Cancer Hospital Cuiabd - Mato Grosso State Brazil Department of epidemiology Mato Grosso State Cancer Hospital Cuiabd - Mato Grosso State Brazil

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Oral cancer epidemiology in Mato Grosso State

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中国口腔颌面外科杂志 2008年第B5期6卷 132-132页

作者： fabiano tonaco borges Artur Aburad de Carvalhosa Paulo Henrique de Souza Castro Luiz Evaristo Ricci Volpato Lidia Hidalgo Clea Adas Saliba Garbin Department of Oral Pathology Mato Grosso State Public Health School. Cuiabo Mato Grosso State - Brazil Department of Oral and Maxillofacial Surgery Mato Grosso State Cancer Hospital. Cuiaba Mato Grosso State - Brazil Department of Pediatrics Mato Grosso State Cancer Hospital. Cuiabop Mato Grosso State - Brazil Department of Oral Public Health School of Dentistry Sao Paulo State University - UNESP. Aracatuba Saop Paulo State Brazil

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Modeling of Fischer-Tropsch Synthesis in a Slurry Reactor with Water Permeable Membrane

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Journal of Natural Gas Chemistry 2007年第2期16卷 107-114页

作者： fabiano A. N. Fernandes Universidade Federal do Ceara Departamento de Engenharia QuimicaCampus Universitario do PiciBloco 70960455-760 Fortaleza-CEBrazil

Fischer-Tropsch synthesis is an important chemical process for the production of liquid fuels and olefins. In recent years, the abundant availability of natural gas and the increasing demand of olefins, diesel, and waxes have led to a high interest to further develop this process. A mathematical model of a slurry membrane reactor used for syngas polymerization was developed to simulate and compare the maximum yields and operating conditions in the reactor with that in a conventional slurry reactor. The carbon polymerization was studied from a modeling point of view in a slurry reactor with a water permeable membrane and a conventional slurry reactor. Simulation results show that different parameters affect syngas conversion and carbon product distribution, such as the hydrogen to carbon monoxide ratio, and the membrane parameters such as membrane permeance.

关键词： slurry reactor membrane reactor Fischer-Tropsch modeling

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Review on the state-of-the-art and challenges in the MgB_(2)component manufacturing for superconducting applications

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Superconductivity 2024年第1期9卷 50-64页

作者： fabiano Carvalho de Castro Sene Department of Industrial and Systems Engineering University of TennesseeKnoxvilleUnited States

Since the discovery of MgB_(2)as a superconductor,several research groups worldwide have studied the superconducting mechanisms due to the dual gap nature of MgB_(2),as well as attempted to produce such a compound in wires,tapes,bulks,and thin films for a plethora of *** MgB_(2)carries the promise of replacing Niobium‐based superconductors in low‐field applications,less‐than‐desirable performance and in‐operation stability has slowed down such a *** the properties and nature of the superconductivity of MgB_(2)are fairly known,the reproduction of its properties at manufacturing scales remains an unsolved ***,this manuscript presents a systematic review on fundamental properties,phase formation,growth kinetics,and superconducting properties of MgB_(2)‐based components such as multi‐and mono‐core wires,bulks,and thin ***,challenges,and shortcomings are utilized in consolidating research questions and directions pertaining to the manufacturing of MgB_(2)superconducting ***,we evaluate the technological readiness of MgB_(2)‐based devices for applications in fusion energy systems.

关键词： MgB_(2) Superconductor manufacturing Technology readiness Review Low‐Field applications

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Forecast electricity demand in commercial building with machine learning models to enable demand response programs

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Energy and AI 2022年第1期7卷 18-30页

作者： fabiano Pallonetto Changhong Jin Eleni Mangina School of Computer Science University College DublinIreland School of Business Maynooth UniversityIreland

Electricity load forecasting is an important part of power system *** forecasting electricity load have great impact on a number of departments in power *** to electricity load simulation(white-box model),electricity load forecasting(black-box model)does not require expertise in building *** development cycle of the electricity load forecasting model is much shorter than the design cycle of the electricity load *** developments in machine learning have lead to the creation of models with strong fitting and accuracy to deal with nonlinear *** on the real load dataset,this paper evaluates and compares the two mainstream short-term load forecasting *** the experiment,this paper first enumerates the common methods of short-term load forecasting and explains the principles of Long Short-term Memory Networks(LSTMs)and Support Vector Machines(SVM)used in this ***,based on the characteristics of the electricity load dataset,data pre-processing and feature selection takes *** paper describes the results of a controlled experiment to study the importance of feature *** LSTMs model and SVM model are applied to one-hour ahead load forecasting and one-day ahead peak and valley load *** predictive accuracy of these models are calculated based on the error between the actual and predicted loads,and the runtime of the model is *** results show that the LSTMs model have a higher prediction accuracy when the load data is ***,the overall performance of the SVM model is better when the load data used to train the model is insufficient and the time cost is prioritized.

关键词： Deep neural network Model assessment Short-term load forecasting Feature selection Support Vector Machines Artificial Neural Networks Long Short-term Memory Networks Demand response

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Sorbents with high efficiency for CO2 capture based on amines-supported carbon for biogas upgrading

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Journal of Environmental Sciences 2016年第10期28卷 138-150页

作者： Lidia Pino Cristina Italiano Antonio Vita Concetto fabiano Vincenzo Recupero CNR Institute of Aduanced Technology for Energy "Nicola Giordano" Via S. Lucia 5 98126 Messina Italy

Sorbents for CO2 capture have been prepared by wet impregnation of a commercial active carbon （Ketjen-black, Akzo Nobel） with two CO2-philic compounds, polyethylenimine （PEI） and tetraethylenepentamine （TEPA）, respectively. The effects of amine amount （from 10 to 70 wt.%）, CO2 concentration in the feed, sorption temperature and gas hourly space velocity on the CO2 capture performance have been investigated. The sorption capacity has been evaluated using the breakthrough method, with a fixed bed reactor equipped with on line gas chromatograph. The samples have been characterized by N2 adsorption-desorption, scanning electron microscopy and energy dispersive X-ray （SEM/EDX）. A promising CO2 sorption capacity of 6.90 mmo1/gsorbent has been obtained with 70 wt.% of supported TEPA at 70℃ under a stream containing 80 vol% of CO2. Sorption tests, carried out with simulated biogas compositions （CH4/CO2 mixtures）, have revealed an appreciable CO2 separation selectivity; stable performance was maintained for 20 adsorption-desorption cycles.

关键词： CO2 capturePEI-TEPA based sorbentsAmine efficiencyBiogasSeparation selectivity

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The role of endosomal cholesterol trafficking protein, StAR-related lipid transfer domain 3 （StarD3/MLN64）, in BRIN-BD11 insulinoma cells

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Protein & Cell 2016年第11期7卷 833-838页

作者： Joana borges Pinto Annette Graham Department of Life Sciences School of Health and Life Sciences Glasgow Caledonian University Glasgow G4 0BA UK WolfsonWohl Cancer Research Centre Institute of Cancer Sciences University of Glasgow Switchback Road Bearsden Glasgow G61 1QH UK

Dear Editor, Insulin secretion by pancreatic β-cells is modulated by altering the cellular content and distribution of cholesterol, which is tightly regulated by a network of transcription factors, enzymes, receptors, transporters and cholesterol trafficking proteins. Inhibition of cellular biosynthesis by ＇statin＇ drugs, or depletion of plasma membrane cholesterol by methyl-β-cyclodextrin （MCD）, reduce glucose-stimulated insulin secretion （GSIS） and content in β-cells and islets;

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Operation Strategies for Coordinating Battery Energy Storage with Wind Power Generation and Their Effects on System Reliability

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Journal of Modern Power Systems and Clean Energy 2021年第1期9卷 190-198页

作者： Thais P.Teixeira Carmen L.T.borges the Federal University of Rio de Janeiro Rio de JaneiroBrazil

The variability of wind power generation requires the allocation of a flexible energy reserve which is capable of compensating for possible imbalances between the load and generation. To reduce the variability of wind power generation and loss of load in generation deficit, we propose operation strategies for coordinating battery energy storage with wind power generation. The effects of the operation strategies on system reliability are evaluated by the developed computation model that represents the main aspects and operation limitations of the batteries. The performance evaluation of the power system is based on the composite reliability indices of loss of load probability(LOLP) and expected energy not supplied(EENS), which is calculated through sequential Monte Carlo simulation. Tests are performed by the developed model with a tutorial system consisting of five busbars and the IEEE RTS system. The results show that the use of large-scale batteries is an alternative to physically guarantee the wind power plants and to act as an operation reserve to reduce the risk of loss of load.

关键词： Energy storage wind power generation power system reliability Monte Carlo simulation

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A nanostructured look of collagen apatite porosity into human mineralized collagen fibril

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BIOCELL 2022年第10期46卷 2225-2229页

作者： fabiano BINI ANDRADA PICA ANDREA MARINOZZI FRANCO MARINOZZI Department of Mechanical and Aerospace Engineering Sapienza University of RomeRome00184Italy Orthopedy and Traumatology Area Campus Bio-Medico UniversityRome00128Italy

Bone tissue is a hierarchical material characterized at nanoscale by the mineralized collagen fibril,a recurring structure mainly composed of apatite minerals,collagen and *** nanostructure has a fundamental role in determining the mechanical behavior of the tissue and its mass transport *** phenomenon allows to maintain an adequate supply of metabolites in the mechanisms of bone remodeling,adaptation and *** analytical and computational models have been developed to analyze and predict bone tissue ***,the fine replication of the natural tissue still represents a *** on the structural organization at nanoscale and on the influence of apatite mineral crystals on the diffusion coefficient lead to outline the functional conditions for the development of biomimetic strategies for bone tissue *** understanding of bone nanostructure is essential to improve longevity of bioscaffolds and to decrease the risk of failure by controlling their mechanical and biological performance.

关键词： Bone nanostructure Diffusivity Biomimicking Bioscaffolds Tissue engineering

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Evaluation of physicochemical properties as supporting information on quality control of raw materials and veterinary pharmaceutical formulations

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Journal of Pharmaceutical Analysis 2018年第3期8卷 168-175页

作者： Sara da Silva Anacleto Marcella Matos Cordeiro borges Hanna Leijoto de Oliveira Andressa Reis Vicente Eduardo Costa de Figueiredo Marcone Augusto Leal de Oliveira Barbara Juliana Pinheiro borges Marcelo Antonio de Oliveira Warley de Souza borges Keyller Bastos borges Departamento de Ciencias Naturals Universidade Federal de Sao Joao del-Rei Campus Dom Bosco Praca Dora Helvecio 74 Fabricas 36301-160 Sao Joao del-Rei Minas Gerais Brazil Departamento de Quimica Universidade Federal do Espirito Santo Avenida Fernando Ferrari 514 Goiabeiras 29075-910 Vitdria Espirito Santo Brazil Laboratorio de Analise de Toxicantes e Farmacos Faculdade de Ciencias Farmaceuticas Universidade Federal de Alfenas Rua Gabriel Monteiro da Silva 700 Centro 37130-000 Alfenas Minas Gerais Brazil Departamento de Quimica Universidade Federal de Juiz de Fora Rua Jose Lourenco Kelmer s/n 36036-330 Juiz de Fora Minas Gerais Brazil Centro de Ciencias da Saude Universidade Federal do Espirito Santo Avenida Marechal Campos 1468 Maruipe 29.043-900 Vitori Espirito Santo Brazil Centro Universitario Norte do Espirito Santo Universidade Federal do Espirito Santo Br 101 Norte Km 67 Sao Mateus Espirito Santo Brazil

This study aimed to show that the physicochemical proprieties obtained by Fourier transform infrared spectroscopy （FTIR）, thermogravimetry （TG）, and scanning electronic microscopy （SEM） can be useful tools for evaluating the quality of active pharmaceutical ingredients （APIs） and pharmaceutical products. In addition, a simple, sensitive, and efficient method employing HPLC-DAD was developed for simulta- neous determination of lidocaine （LID）, ciprofloxacin （CFX） and enrofloxacin （EFX） in raw materials and in veterinary pharmaceutical formulations. Compounds were separated using a Gemini Cm （250 mm×4.6 mm, 5μm） Phenomenex column, at a temperature of 25℃, with a mobile phase containing 10 mM of phosphoric acid （pH 3.29）： acetonitrile （85.7：14.3, v/v） and a flow rate of 1.5 mL/min. Physicochemical characterization by TG, FTIR, and SEM of raw materials of LID, CFX, and EFX provided information useful for the evaluation, differentiation, and qualification of raw materials. Finally, the HPLC method was proved to be useful for evaluation of raw material and finished products, besides satisfying the need for an analytical method that allows simultaneous determination of EFX, CFX, and LID, which can also be extended to other matrices and applications.

关键词： HPLC Physicochemical characterization Quality control Veterinary pharmaceutical formulation Raw material

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