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Formation of Extended Covalently Bonded ni Porphyrin networks on the Au（lll） Surface

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nano Research 2011年第4期4卷 376-384页

作者： Sergey A. Krasnikov Catherine M. Doyle natalia n. Sergeeva Alexei B. Preobrajenski nikolay A.Vinogradov Yulia n. Sergeeva Alexei A. Zakharov Mathias O. Senge Attilio A. Cafolla School of Physical Sciences Dublin City University Glasnevin Dublin 9 Ireland Centre tbr Research on Adaptive nanostructures and nanodevices （CRAnn） School of Physics Trinity College Dublin Dublin 2 Ireland SFI Tetrapyrrole Laboratory School of Chemistry Trinity College Dublin Dublin 2 Ireland MAX-Lab Lund University Box 118 22100 Lund Sweden

The growth and ordering of {5,10,15,20-tetrakis（4-bromophenyl）porphyrinato}nickel（II）（niTBrPP） molecules on the Au（111） surface have been investigated using scanning tunnelling microscopy, X-ray absorption, core-level photoemission, and microbeam low-energy electron diffraction. When deposited onto the substrate at room temperature, the niTBrPP forms a well-ordered close-packed molecular layer in which the molecules have a flat orientation with the porphyrin macrocycle plane lying parallel to the substrate. Annealing of the niTBrPP layer on the Au（111） surface at 525 K leads to dissociation of bromine from the porphyrin followed by the formation of covalent bonds between the phenyl substituents of the porphyrin. This results in the formation of continuous covalently bonded porphyrin networks, which are stable up to 800 K and can be recovered after exposure to ambient conditions. By controlling the experimental conditions, a robust, extended porphyrin network can be prepared on the Au（111） surface that has many potential applications such as protective coatings, in sensing or as a host structure for molecules and clusters.

关键词： Porphyrins covalently bonded networks scanning tunnelling microscopy X-ray photoemission spectroscopy near-edge X-ray absorption fine structure Au(111)

Enhancing Hyper-Spectral Image Classification with Reinforcement Learning and Advanced Multi-Objective Binary Grey Wolf Optimization

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Computers, Materials & Continua 2024年第6期79卷 3469-3493页

作者： Mehrdad Shoeibi Mohammad Mehdi Sharifi nevisi Reza Salehi Diego martín Zahra Halimi Sahba Baniasadi TheWPI Business School Worcester Polytechnic InstituteWorcesterMassachusetts01609-2280USA Department of Industrial Engineering Iran University of Science and TechnologyNarmakTehran16846-13114Iran ETSI de Telecomunicación Universidad Politécnica de MadridAv.Complutense 30Madrid28040Spain Department of Civil and Environmental Engineering University of MarylandCollege ParkMaryland20742USA Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTexas77204USA

Hyperspectral(HS)image classification plays a crucial role in numerous areas including remote sensing(RS),agriculture,and the monitoring of the *** band selection in HS images is crucial for improving the efficiency and accuracy of image *** process involves selecting the most informative spectral bands,which leads to a reduction in data *** on these key bands also enhances the accuracy of classification algorithms,as redundant or irrelevant bands,which can introduce noise and lower model performance,are *** this paper,we propose an approach for HS image classification using deep Q learning(DQL)and a novel multi-objective binary grey wolf optimizer(MOBGWO).We investigate the MOBGWO for optimal band selection to further enhance the accuracy of HS image *** the suggested MOBGWO,a new sigmoid function is introduced as a transfer function to modify the wolves’*** primary objective of this classification is to reduce the number of bands while maximizing classification *** evaluate the effectiveness of our approach,we conducted experiments on publicly available HS image datasets,including Pavia University,Washington Mall,and Indian Pines *** compared the performance of our proposed method with several state-of-the-art deep learning(DL)and machine learning(ML)algorithms,including long short-term memory(LSTM),deep neural network(Dnn),recurrent neural network(Rnn),support vector machine(SVM),and random forest(RF).Our experimental results demonstrate that the Hybrid MOBGWO-DQL significantly improves classification accuracy compared to traditional optimization and DL ***-DQL shows greater accuracy in classifying most categories in both datasets *** the Indian Pine dataset,the MOBGWO-DQL architecture achieved a kappa coefficient(KC)of 97.68%and an overall accuracy(OA)of 94.32%.This was accompanied by the lowest root mean square error(RMSE)of 0.94,indicating very precise

关键词： Hyperspectral image classification reinforcement learning multi-objective binary grey wolf optimizer band selection

Prediction of COVID-19 Cases Using Machine Learning for Effective Public Health Management

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Computers, Materials & Continua 2021年第3期66卷 2265-2282页

作者： Fahad Ahmad Saleh n.Almuayqil Mamoona Humayun Shahid naseem Wasim Ahmad Khan Kashaf Junaid Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAljouf72341Saudi Arabia Division of Computer Science&Information Technology University of EducationLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Clinical Laboratory Sciences College of Applied Medical SciencesJouf UniversitySakakaAljouf72341Saudi Arabia

COVID-19 is a pandemic that has affected nearly every country in the *** present,sustainable development in the area of public health is considered vital to securing a promising and prosperous future for ***,widespread diseases,such as COVID-19,create numerous challenges to this goal,and some of those challenges are not yet *** this study,a Shallow Single-Layer Perceptron neural network(SSLPnn)and Gaussian Process Regression(GPR)model were used for the classification and prediction of confirmed COVID-19 cases in five geographically distributed regions of Asia with diverse settings and environmental conditions:namely,China,South Korea,Japan,Saudi Arabia,and *** environmental and non-environmental features were taken as the input dataset,and confirmed COVID-19 cases were taken as the output dataset.A correlation analysis was done to identify patterns in the cases related to fluctuations in the associated *** results of this study established that the population and air quality index of a region had a statistically significant influence on the ***,age and the human development index had a negative influence on the *** proposed SSLPnn-based classification model performed well when predicting the classes of confirmed *** training,the binary classification model was highly accurate,with a Root Mean Square Error(RMSE)of ***,the results of the regression analysis using the GPR technique with Matern 5/2 were highly accurate(RMSE=0.95239)when predicting the number of confirmed COVID-19 cases in an ***,dynamic management has occupied a core place in studies on the sustainable development of public health but dynamic management depends on proactive strategies based on statistically verified approaches,like Artificial Intelligence(AI).In this study,an SSLPnn model has been trained to fit public health associated data into an appropriate class,allowing GPR to predict the number of confir

关键词： Public health sustainable development artificial intelligence SARSCoV-2 shallow single-layer perceptron neural network binary classification gaussian process regression

Multi-wavelength erbium-doped fiber laser using four-wave mixing effect in doped fiber

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Chinese Optics Letters 2011年第6期9卷 80-81页

作者： n. S. Shahabuddin Z. Yusoff H. Ahmad S. W. Harun Department of Electrical Engineering University of Malaya Faculty of Engineering Multimedia University Photonics Research Center University of Malaya

We demonstrate a multi-wavelength erbium-doped fiber laser （EDFL） using erbium gain and four-wave mixing （FWM） effect in a piece of erbium-doped fiber （EDF） with high erbium ion concentration. The EDF has a pump absorption rate of 24.6 dB/m at 979 nm and is bi-directionally pumped by 980-nm laser diodes. FWM effect redistributes the energy of different oscillating lines and causes multi-wavelength operation. The laser generates more than 22 lines of optical comb with a line spacing of approximately 0.10 nm at the 1569-nm region using only 1.5-m-long EDF.

关键词： EDF FWM Multi-wavelength erbium-doped fiber laser using four-wave mixing effect in doped fiber length wave

Thermoluminescence Responses of Photon and Electron Irradiated Ge- and Al-Doped SiO_(2) Optical Fibres

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Chinese Physics Letters 2012年第2期29卷 208-210页

作者： H.Wagiran I.Hossain D.Bradley A.n.H.Yaakob T.Ramli Department of Physics Universiti Teknologi Malaysia81310 SkudaiJohor Darul TakzimMalaysia Department of Physics University of SurreyGuildfordGU27XHUK

We carry out a comparison of the thermoluminescence (TL) response of photon and electron irradiated Ge- and Al-doped SiO_(2) optical fibres,as well as cross-comparison with that of *** is made with 6 MeV electrons and 6 MV photons,for doses ranging from 0.2 Gy to *** commercially available Al- and Gedoped optical fibres produce a linear dose-TL *** TL yield for both of the doped fibres and also for TLD-100 is greater for electron irradiation than for photon *** TL yield of the Al-doped fibres is a small fraction of that of Ge-doped fibres (by a factor of 25),the Ge-doped fibres offering a response of 59%o of that of TLD-100.

关键词： irradiation Electron irradiated

Comparing different domains of analysis for the characterisation of n-glycans on monoclonal antibodies

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Journal of Pharmaceutical Analysis 2020年第1期10卷 23-34页

作者： Sara Carillo Raquel Peerez-Robles Craig Jakes Meire Ribeiro da Silva Silvia Millan martín Amy Farrell natalia navas Jonathan Bones Characterisation and Comparability Laboratory NIBRT e the National Institute for Bioprocessing Research and TrainingFoster AvenueMount MerrionBlackrockCo.DublinA94 X099Ireland Department of Analytical Chemistry Biohealth Research Institute(ibs.GRANADA)University of GranadaGranadaSpain School of Chemical and Bioprocess Engineering University College DublinBelfieldDublin 4D04 V1W8Ireland

With the size of the biopharmaceutical market exponentially increasing,there is an aligned growth in the importance of data-rich analyses,not only to assess drug product safety but also to assist drug development driven by the deeper understanding of structure/function *** monoclonal antibodies,many functions are regulated by n-glycans present in the constant region of the heavy chains and their mechanisms of action are not completely *** importance of their function focuses analytical research efforts on the development of robust,accurate and fast methods to support drug development and quality *** n-glycan analysis is considered as the gold standard for glycosylation characterisation;however,it is not the only method for quantitative analysis of glycoform *** this study,ten different analytical workflows for n-glycan analysis were compared using four monoclonal *** observing good comparability between the quantitative results generated,it was possible to appreciate the advantages and disadvantages of each technique and to summarise all the observations to guide the choice of the most appropriate analytical workflow according to application and the desired depth of data generated.

关键词： n-Glycans Biopharmaceuticals Monoclonal antibodies Intact mass analysis Mass spectrometry native mass spectrometry Glycan analysis Peptide mapping Glycopeptide analysis

Sub-Epithelial Connective Tissue Graft to Increase the Volume of Residual Alveolar Bone in the Upper Anterior Sector and Fixed Rehabilitation with Zirconia

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Open Journal of Stomatology 2018年第6期8卷 189-195页

作者： Minor Enrique Zuniga Araya Rita Elizabeth martínez martínez Jose Honorio Olvera Delgado Jaime Alejandro nieto Ramirez Elena A.Popoca Hernandez Jose Luis Ayala Herrera San Luis Potosi University San Luis PotosiMexico Universidad Autónoma de San Luis Potosí San Luis PotosíMéxico

Background: The collapse of the alveolar ridge in an edentulous area in patients who will undergo oral rehabilitation impedes the harmonic relationship between pontic and ridge. To correct this type of defect there are several surgical techniques that aim to achieve soft tissue augmentation, allowing the conformation of an ideal profile with the use of a pontic. The aim was to demonstrate how the technique of tissue modification in an area with a class b defect of Allen allows the correction of aesthetics in the anterior dental sector. Case presentation: A 41-year-old Mexican woman. Extra and intraoral examination was performed, the dental treatment included connective tissue graft and rehabilitation with Zirconia. Conclusion: Surgery of residual alveolar ridge augmentation with connective tissue graft gives the patient favorable aesthetic results in the anterior area when it will be rehabilitated.

关键词： Esthetic Zone Zirconia Class B Defect of Allen

Analysis of Power in an Argon Filled Pulsed Dielectric Barrier Discharge

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Plasma Science and Technology 2013年第7期15卷 635-639页

作者： U.n.PAL Pooja GULATI Ram PRAKASH Mahesh KUmar V.SRIVASTAVA S.KOnAR Microwave Tubes Division CSIR-Central Electronics Engineering Research Institute (CSIR-CEERI)Pilani Rajasthan-333031 India Birla Institute of Technology (BIT) Mesra Ranchi Jharkhand-835215 India

In this paper an argon filled coaxial dielectric barrier discharge （DBD） has been studied to understand the detail of power transfer from a unipolar square pulse to plasma during discharge. A dielectric barrier discharge based diffuse pulse discharge and its electrical charac-teristics are investigated. A quartz coaxial DBD tube filled at different pressures is used in the experiment. A unipolar pulse voltage of different peak voltages and frequencies has been applied to the discharge electrodes for the generation of microdischarges. Two current pulses are used for two consecutive discharges per applied voltage pulse. The second discharge, which occurs at the falling flank of the voltage pulse, is induced by the charges stored on the dielectric barrier during the first discharge. It has been deduced that the power supplied to ignite the first discharge is partly stored to ignite the second discharge when the applied voltage decays. This process ul- timately leads to much improved power transfer to the plasma. The knowledge obtained from dynamic processes of the DBDs in the discharge gap explains quantitatively the mechanism of ignition, development and extinction of the DBDs.

关键词： DBD non-equilibrium plasma non-thermal plasma diffuse pulse discharge,microdischarges

Imaging the influence of oxides on the electrostatic potential of photovoltaic InP nanowires

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nano Research 2021年第11期14卷 4087-4092页

作者： Lukas Hrachowina Xianshao Zou Yang Chen Yuwei Zhang Enrique Barrigón Arkady Yartsev Magnus T.Borgström nanoLund Lund UniversityBox 11822100LundSweden Divison of Solid State Physics Lund UniversityBox 11822100LundSweden Divison of Chemical Physics Lund UniversityBox 12422100LundSweden Toyota Technological Institute NagoyaAichi 468-8511Japan

nanowires require surface passivation due to their inherent large surface to volume ratio. We investigate the effect of embedding InP nanowires in different oxides with respect to surface passivation by use of electron beam induced current measurements enabled by a nanoprobe based system inside a scanning electron microscope. The measurements reveal remote doping due to fixed charge carriers in the passivating PO_(x)/Al_(2)O_(3) shell in contrast to results using SiO_(x). We used time-resolved photoluminescence to characterize the lifetime of charge carriers to evaluate the success of surface passivation. In addition, spatially resolved internal quantum efficiency simulations support and correlate the two applied techniques. We find that atomic-layer deposited PO_(x)/Al_(2)O_(3) has the potential to passivate the surface of InP nanowires, but at the cost of inducing a field-effect on the nanowires, altering their electrostatic potential profile. The results show the importance of using complementary techniques to correctly evaluate and interpret processing related effects for optimization of nanowire-based optoelectronic devices.

关键词： InP nanowires oxides MOVPE electron beam induced current(EBIC) time-resolved photoluminescence(TRPL) field-effect