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Articles 961 - 990 of 2383

Full-Text Articles in Physical Sciences and Mathematics

Intergrating The Fruin Los Into The Multi-Objective Ant Colony System, Tirdad Kiafar Jan 2018

Intergrating The Fruin Los Into The Multi-Objective Ant Colony System, Tirdad Kiafar

Dissertations

Building evacuation simulation provides the planners and designers an opportunity to analyse the designs and plan a precise, scenario specific instruction for disaster times. Nevertheless, when disaster strikes, the unexpected may happen and many egress paths may get blocked or the conditions of evacuees may not let the execution of emergency plans go smoothly. During disaster times, effective route-finding methods can help efficient evacuation process, in which the directors are able to react to the sudden changes in the environment. This research tries to integrate the highly accepted human dynamics methods proposed by Fruin into the Ant-Colony optimisation route-finding method. …

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Identifying And Scoping Context-Specific Use Cases For Blockchain-Enabled Systems In The Wild., Fiona Delaney Jan 2018

Identifying And Scoping Context-Specific Use Cases For Blockchain-Enabled Systems In The Wild., Fiona Delaney

Dissertations

Advances in technology often provide a catalyst for digital innovation. Arising from the global banking crisis at the end of the first decade of the 21st Century, decentralised and distributed systems have seen a surge in growth and interest. Blockchain technology, the foundation of the decentralised virtual currency Bitcoin, is one such catalyst. The main component of a blockchain, is its public record of verified, timestamped transactions maintained in an append-only, chain-like, data structure. This record is replicated across n-nodes in a network of co-operating participants. This distribution offers a public proof of transactions verified in the past. Beyond tokens …

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Handwritten Digit Recognition And Classification Using Machine Learning, Ke Zhao Jan 2018

Handwritten Digit Recognition And Classification Using Machine Learning, Ke Zhao

Dissertations

In this paper, multiple learning techniques based on Optical character recognition (OCR) for the handwritten digit recognition are examined, and a new accuracy level for recognition of the MNIST dataset is reported. The proposed framework involves three primary parts, image pre-processing, feature extraction and classification. This study strives to improve the recognition accuracy by more than 99% in handwritten digit recognition. As will be seen, pre-processing and feature extraction play crucial roles in this experiment to reach the highest accuracy.

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Unprecedented In Vitro Antitubercular Activitiy Of Manganese(Ii) Complexes Containing 1,10- Phenanthroline And Dicarboxylate Ligands: Increased Activity, Superior Selectivity, And Lower Toxicity In Comparison To Their Copper(Ii) Analogs, Pauraic Mccarron, Malachy Mccann, Michael Devereux, Kevin Kavanagh, Ciaran M. Skerry, Petros C. Karakousis, Ana Carolina Aor, Thaís P. Mello, Dos Santos, André Luis Souza Dos Santos, André Luis Souza, Débora Leite Campos, Fernando R. Pavan Jan 2018

Unprecedented In Vitro Antitubercular Activitiy Of Manganese(Ii) Complexes Containing 1,10- Phenanthroline And Dicarboxylate Ligands: Increased Activity, Superior Selectivity, And Lower Toxicity In Comparison To Their Copper(Ii) Analogs, Pauraic Mccarron, Malachy Mccann, Michael Devereux, Kevin Kavanagh, Ciaran M. Skerry, Petros C. Karakousis, Ana Carolina Aor, Thaís P. Mello, Dos Santos, André Luis Souza Dos Santos, André Luis Souza, Débora Leite Campos, Fernando R. Pavan

Articles

Mycobacterium tuberculosis is the etiologic agent of tuberculosis. The demand for new chemotherapeutics with unique mechanisms of action to treat (multi)resistant strains is an urgent need. The objective of this work was to test the effect of manganese(II) and copper(II) phenanthroline/dicarboxylate complexes against M. tuberculosis. The water-soluble Mn(II) complexes, [Mn2(oda)(phen)4(H2O)2][Mn2(oda)(phen)4(oda)2]·4H2O (1) and ([Mn(3,6,9-tdda)(phen)2]·3H2O·EtOH)n (3) (odaH2 = octanedioic acid, phen = 1,10-phenanthroline, tddaH2 = 3,6,9-trioxaundecanedioic acid), and water-insoluble complexes, [Mn(ph)(phen)(H2O)2] (5), [Mn(ph)(phen)2(H2O)]·4H2O (6), [Mn2(isoph)2(phen)3]·4H2O (7), ([Mn(phen)2(H2O)2])2(isoph)2(phen)·12H2O (8) and [Mn(tereph)(phen)2]·5H2O (9) (phH2 = phthalic acid, isophH2 = isophthalic acid, terephH2 = terephthalic acid), robustly inhibited the viability of M. tuberculosis strains, H37Rv …

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Significance Of A Non-Thermal Plasma Treatment On Ldpe Biodegradation With Pseudomonas Aeruginosa, Laurence Scally, Miroslav Gulan, Lars Weigang, Vladimir Milosavljević, Patrick J. Cullen Jan 2018

Significance Of A Non-Thermal Plasma Treatment On Ldpe Biodegradation With Pseudomonas Aeruginosa, Laurence Scally, Miroslav Gulan, Lars Weigang, Vladimir Milosavljević, Patrick J. Cullen

Articles

The use of plastics has spanned across almost all aspects of day to day life. Although their uses are invaluable, they contribute to the generation of a lot of waste products that end up in the environment and end up polluting natural habitats such as forests and the ocean. By treating low-density polyethylene (LDPE) samples with non-thermal plasma in ambient air and with an addition of ≈4% CO2, the biodegradation of the samples can be increased due to an increase in oxidative species causing better cell adhesion and acceptance on the polymer sample surface. It was, however, found that the …

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A Land Use Regression Model For Explaining Spatial Variation In Air Pollution Levels Using A Wind Sector Based Approach, Owen Naughton, Aoife Donnelly, Paul Nolan, Francesco Pilla, Bruce Misstear, Brian Broderick Jan 2018

A Land Use Regression Model For Explaining Spatial Variation In Air Pollution Levels Using A Wind Sector Based Approach, Owen Naughton, Aoife Donnelly, Paul Nolan, Francesco Pilla, Bruce Misstear, Brian Broderick

Articles

Estimating pollutant concentrations at a local and regional scale is essential for good ambient air quality information in environmental and health policy decision making. Here we present a land use regression (LUR) modelling methodology that exploits the high temporal resolution of fixed-site monitoring (FSM) to produce viable air quality maps. The methodology partitions concentration time series from a national FSM network into wind-dependent sectors or “wedges”. A LUR model is derived using predictor variables calculated within the directional wind sectors, and compared against the long-term average concentrations within each sector. This study demonstrates the value of incorporating the relative position …

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Targeting The Folate Receptor: Improving Efficacy In Inorganic Medicinal Chemistry, Pauraic Mccarron, Aisling Crowley, Denis O'Shea, Malachy Mccann, Orla L. Howe, Mary Hunt, Michael Devereux Jan 2018

Targeting The Folate Receptor: Improving Efficacy In Inorganic Medicinal Chemistry, Pauraic Mccarron, Aisling Crowley, Denis O'Shea, Malachy Mccann, Orla L. Howe, Mary Hunt, Michael Devereux

Articles

The discovery of the high-affinity, high-specificity folate receptor in mamalian kidney cells, coupled with the ability of folate to enter cells by folate receptor-mediated endocytosis and the subsequent elucidation of the folate receptor’s overexpression in specific cancer cell types; heralded the arrival of the area of chemotherapeutic folate targeting. The application of purely organic folate-based small-molecule drug conjugates that selectively target the folate receptor, which is over expressed in several diseases such as cancer, is well established. The application of inorganic folate-targeted drugs offers significant potential to expand and enhance this therapeutic approach. From the data made available to date, …

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Assessment Of The Disinfection Capacity And Eco-Toxicological Impact Of Atmospheric Cold Plasma For Treatment Of Food Industry Effluents, Apurva Patange, Daniela Boehm, Michelle Giltrap, Peng Lu, Patrick J. Cullen, Paula Bourke Jan 2018

Assessment Of The Disinfection Capacity And Eco-Toxicological Impact Of Atmospheric Cold Plasma For Treatment Of Food Industry Effluents, Apurva Patange, Daniela Boehm, Michelle Giltrap, Peng Lu, Patrick J. Cullen, Paula Bourke

Articles

Generation of wastewater is one of the main environmental sustainability issues across food sector industries. The constituents of food process effluents are often complex and require high energy and processing for regulatory compliance. Wastewater streams are the subject of microbiological and chemical criteria, and can have a significant eco-toxicological impact on the aquatic life. Thus, innovative treatment approaches are required to mitigate environmental impact in an energy efficient manner. Here, dielectric barrier discharge atmospheric cold plasma (ACP) was evaluated for control of key microbial indicators encountered in food industry effluent. This study also investigated the eco-toxicological impact of cold plasma …

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Spectroscopic Study Of Excited Molecular Nitrogen Generation Due To Interactions Of Metastable Noble Gas Atoms, Laurence Scally, James Lalor, Miroslav Gulan, Patrick J. Cullen, Vladimir Milosavljevic Jan 2018

Spectroscopic Study Of Excited Molecular Nitrogen Generation Due To Interactions Of Metastable Noble Gas Atoms, Laurence Scally, James Lalor, Miroslav Gulan, Patrick J. Cullen, Vladimir Milosavljevic

Articles

This work provides an insight into the generation of excited nitrogen species by allowing noble gases to interact both with one another and ambient air. He and Ar were utilized to generate the optimum selectivity process to create reactive nitrogen species. An optimum setting for the generation of excited molecular nitrogen species, based on their excited energy levels, was obtained when using a mixture of Ar-He at a ratio of 10:1. At that point, when a voltage of 27 kV is applied to the system, it reached the maximum efficiency for selectivity processes to occur which allowed for a greater …

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Chemical Modifications Of Lipids And Proteins By Nonthermal Food Processing Technologies, Juan M. PéRez-AndréS, CléMentine Charoux, Patrick J. Cullen, Brijesh K. Tiwari Jan 2018

Chemical Modifications Of Lipids And Proteins By Nonthermal Food Processing Technologies, Juan M. PéRez-AndréS, CléMentine Charoux, Patrick J. Cullen, Brijesh K. Tiwari

Articles

A range of nonthermal techniques have demonstrated process efficacy in ensuring product safety, extension of shelf life, and in general a retention of key quality attributes. However, various physical, chemical and biochemical effects of nonthermal techniques on macro and micro nutrients are evident, leading to both desirable and undesirable changes in food products. The objective of this review is to outline the effects of nonthermal techniques on food chemistry and the associated degradation mechanisms with the treatment of foods. Oxidation is one of the key mechanisms responsible for undesirable effects induced by nonthermal techniques. Degradation of key macromolecules largely depends …

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Investigation Into The Predictive Power Of Artificial Neural Networks And Logistic Regression For Predicting Default In Chit Funds, Ciara Kerrigan Jan 2018

Investigation Into The Predictive Power Of Artificial Neural Networks And Logistic Regression For Predicting Default In Chit Funds, Ciara Kerrigan

Dissertations

This study evaluated the performance of an artificial neural network (ANN) multi-layer perceptron model and a logistic regression logitboost (LR) model to predict default in chit funds. The two types of default investigated were late payment of 30 days and late payment of 90 days. The dataset was broken up into training and validation datasets using random sampling and K folds cross validation was used on the training dataset to assess performance of the tuning parameters. The validation dataset was used to compare performance of both algorithms. Principle component analysis (PCA) was used to reduce the feature set while still …

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Exploring The Features To Classify The Musical Period Of Western Classical Music, Arturo Martínez Gallardo Jan 2018

Exploring The Features To Classify The Musical Period Of Western Classical Music, Arturo Martínez Gallardo

Dissertations

Music Information Retrieval (MIR) focuses on extracting meaningful information from music content. MIR is a growing field of research with many applications such as music recommendation systems, fingerprinting, query-by-humming or music genre classification. This study aims to classify the styles of Western classical music, as this has not been explored to a great extent by MIR. In particular, this research will evaluate the impact of different music characteristics on identifying the musical period of Baroque, Classical, Romantic and Modern. In order to easily extract features related to music theory, symbolic representation or music scores were used, instead of audio format. …

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Developing A Unified Approach To Sustainable Consumption Behaviour: Opportunities For A New Environmental Paradigm, Vivienne Byers, Alan Gilmer Jan 2018

Developing A Unified Approach To Sustainable Consumption Behaviour: Opportunities For A New Environmental Paradigm, Vivienne Byers, Alan Gilmer

Articles

Politicians and national policy makers seek to encourage individuals to engage in a wide range of pro-environmental practices to address both discrete environmental problems and major global challenges such as climate change. Theoretically, the field of behavioural management in environmental consumption which seeks to change holarchic open human systems, is much contested. This paper proposes to develop a synthesized conceptual framework embracing a unified approach that addresses the systematic, structural, and institutional perspectives on how consumption, through public policy initiatives, can be developed and changed to reflect a deeper ecological foundation. This approach considers the debate regarding policy and behavioural …

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Optical Fiber Fresnel Reflection Sensor For Direct Detection Of The Solid-Liquid Phase Change In N-Octadecane, Wei Han, Marek Rebow, Dejun Liu, Gerald Farrell, Yuliya Semenova, Qiang Wu Jan 2018

Optical Fiber Fresnel Reflection Sensor For Direct Detection Of The Solid-Liquid Phase Change In N-Octadecane, Wei Han, Marek Rebow, Dejun Liu, Gerald Farrell, Yuliya Semenova, Qiang Wu

Articles

An all optical fiber Fresnel reflection sensor for detecting the solid–liquid phase change in n-octadecane is proposed and experimentally demonstrated. The sensor probe consists of a single-mode fiber with a cleaved end which is immersed in the material sample under test. As the n-octadecane changes from solid to liquid or from liquid to solid, its refractive index (RI) changes resulting in changes of the light power ratio reflected by the probe. Since the RI of n-octadecane during its phase transition changes discontinuously, inflection in the reflected light power ratio dependence indicates the phase change of the sample in the vicinity …

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Fluid-Dynamic Models Of Geophysical Waves, Alan Compelli Jan 2018

Fluid-Dynamic Models Of Geophysical Waves, Alan Compelli

Doctoral

Geophysical waves are waves that are found naturally in the Earth's atmosphere and oceans. Internal waves, that is waves that act as an interface between uids of dierent density, are examples of geophysical waves. A uid system with a at bottom, at surface and internal wave is initially considered. The system has a depth-dependent current which mimics a typical ocean set-up and, as it is based on the surface of the rotating Earth, incorporates Coriolis forces. Using well established uid dynamic techniques, the total energy is calculated and used to determine the dynamics of the system using a procedure called …

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Three Decades Of Universal Design - Defining Moments, Margaret Kinsella Jan 2018

Three Decades Of Universal Design - Defining Moments, Margaret Kinsella

Articles

This paper contributes to the growing research on incorporating Universal Design in the Higher Education landscape by presenting a Practitioner's Perspective on Universal Design as delivered in the Institute of Technology, Blanchardstown (ITB) in the first year of a creative digital media degree as part of the first year experience. This first year experience is a transition time for many students and has many complexities; while being an exciting and fulfilling time, the transition can also be challenging and isolating. Through Universal Design, the aim is to enable students to 'Get connected' and 'Stay connected'. Universal Design for Learning is …

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A Wikipedia Powered State-Based Approach To Automatic Search Query Enhancement, Kyle Goslin, Markus Hofmann Jan 2018

A Wikipedia Powered State-Based Approach To Automatic Search Query Enhancement, Kyle Goslin, Markus Hofmann

Articles

This paper describes the development and testing of a novel Automatic Search Query Enhancement (ASQE) algorithm, the Wikipedia N Sub-state Algorithm (WNSSA), which utilises Wikipedia as the sole data source for prior knowledge. This algorithm is built upon the concept of iterative states and sub-states, harnessing the power of Wikipedia's data set and link information to identify and utilise reoccurring terms to aid term selection and weighting during enhancement. This algorithm is designed to prevent query drift by making callbacks to the user's original search intent by persisting the original query between internal states with additional selected enhancement terms. The …

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Pseudorehearsal In Actor-Critic Agents With Neural Network Function Approximation, Vladimir Marochko, Leonard Johard, Manuel Mazzara, Luca Longo Jan 2018

Pseudorehearsal In Actor-Critic Agents With Neural Network Function Approximation, Vladimir Marochko, Leonard Johard, Manuel Mazzara, Luca Longo

Articles

Catastrophic forgetting has a significant negative impact in reinforcement learning. The purpose of this study is to investigate how pseudorehearsal can change performance of an actor-critic agent with neural-network function approximation. We tested agent in a pole balancing task and compared different pseudorehearsal approaches. We have found that pseudorehearsal can assist learning and decrease forgetting.

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Towards Dynamic Interaction-Based Reputation Models, Almas Melnikov, Manuel Mazzara, Victor Rivera, Jooyoung Lee, Luca Longo Jan 2018

Towards Dynamic Interaction-Based Reputation Models, Almas Melnikov, Manuel Mazzara, Victor Rivera, Jooyoung Lee, Luca Longo

Articles

In this paper, we investigate how dynamic properties of reputation can influence the quality of users’ ranking. Reputation systems should be based on rules that can guarantee high level of trust and help identify unreliable units. To understand the effectiveness of dynamic properties in the evaluation of reputation, we propose our own model (DIB-RM) that utilizes three factors: forgetting, cumulative, and activity period. In order to evaluate the model, we use data from StackOverflow which also has its own reputation model. We estimate similarity of ratings between DIB-RM and the StackOverflow reputation model to test our hypothesis. We use two …

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Theoretical Modeling And Design Of Photonic Structures In Zeolite Nanocomposites For Gas Sensing. Part Ii: Volume Gratings, Dervil Cody, Izabela Naydenova Jan 2018

Theoretical Modeling And Design Of Photonic Structures In Zeolite Nanocomposites For Gas Sensing. Part Ii: Volume Gratings, Dervil Cody, Izabela Naydenova

Articles

The suitability of holographic structures fabricated in zeolite nanoparticle-polymer composite materials for gas sensing applications has been investigated. Theoretical modelling of the sensor response (i.e. change in hologram readout due to a change in refractive index modulation or thickness as a result of gas adsorption) of different sensor designs was carried out using Raman-Nath theory and Kogelnik’s Coupled Wave Theory. The influence of a range of parameters on the sensitivity of holographically-recorded surface and volume photonic structures has been studied, namely hologram geometry, hologram thickness and spatial frequency, reconstruction wavelength, and zeolite nanoparticle refractive index. From this, the optimum fabrication …

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Enabling Quantification Of Protein Concentration In Human Serum Biopsies Using Attenuated Total Reflectance – Fourier Transform Infrared (Atr-Ftir) Spectroscopy, Kate Spalding, Franck Bonnier, Clément Bruno, Hélène Blasco, Ruth E. Board, Isabelle Benz-De-Bretagne, Hugh Byrne, Holly J. Butler, Igor Chourpa, Pretheepan Radhakrishnan, Matthew J. Baker Jan 2018

Enabling Quantification Of Protein Concentration In Human Serum Biopsies Using Attenuated Total Reflectance – Fourier Transform Infrared (Atr-Ftir) Spectroscopy, Kate Spalding, Franck Bonnier, Clément Bruno, Hélène Blasco, Ruth E. Board, Isabelle Benz-De-Bretagne, Hugh Byrne, Holly J. Butler, Igor Chourpa, Pretheepan Radhakrishnan, Matthew J. Baker

Articles

Changes in protein concentrations within human blood are used as an indicator for nutritional state, hydration and underlying illnesses. They are often measured at regular clinical appointments and the current analytical process can result in long waiting times for results and the need for return patient visits. Attenuated total reflectance – Fourier transform infrared (ATR-FTIR) spectroscopy has the ability to detect minor molecular differences, qualitatively and quantitatively, in biofluid samples, without extensive sample preparation. ATR-FTIR can return an analytical measurement almost instantaneously and therefore could be deemed as an ideal technique for monitoring molecular alterations in blood within the clinic. …

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Tissue Mimicking Materials For Multi-Modality Breast Phantoms, G. Fiaschetti, Jacinta Browne, M. Cavagnaro, L. Farina, G. Ruvio Jan 2018

Tissue Mimicking Materials For Multi-Modality Breast Phantoms, G. Fiaschetti, Jacinta Browne, M. Cavagnaro, L. Farina, G. Ruvio

Conference Papers

The paper proposes two different Tissue Mimicking Material (TMM) techniques for the development of breast phantoms which are suitable for multi-modality imaging. In particular, the focus is on the behavior of dielectric and acoustic properties when fat, sodium chloride and sugar are added to the mixtures.

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Application Of Box-Behnken Experimental Design For The Formulation And Optimisation Of Selenomethionine-Loaded Chitosan Nanoparticles Coated With Zein For Oral Delivery., Giuliana Vozza, Hugh Byrne, Jesus Maria Frias, Minna Khalid Danish, Sinéad M. Ryan Jan 2018

Application Of Box-Behnken Experimental Design For The Formulation And Optimisation Of Selenomethionine-Loaded Chitosan Nanoparticles Coated With Zein For Oral Delivery., Giuliana Vozza, Hugh Byrne, Jesus Maria Frias, Minna Khalid Danish, Sinéad M. Ryan

Articles

Selenomethionine is an essential amino acid with a narrow therapeutic index and susceptibility to oxidation. Here it was encapsulated into a nanoparticle composed of chitosan cross-linked with tripolyphosphate for oral delivery. The formulation was optimised using a three-factor Box-Behnken experimental design. The chitosan:tripolyphosphate ratio, chitosan solvent pH, and drug load concentration were independently varied. The dependent variables studied were encapsulation efficiency, particle size, polydispersity index and zeta potential. For optimisation, encapsulation efficiency and zeta potential were maximised, particle diameter was set to 300 nm and polydispersity index was minimised. A 0.15 mg/mL concentration of selenomethionine, chitosan solvent pH of 3, …

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Structure-Property Relationships For A Series Of Ruthenium(Ii) Polypyridyl Complexes Elucidated Through Raman Spectroscopy, Luke O'Neill, Laura Perdisatt, Christine O'Connor Jan 2018

Structure-Property Relationships For A Series Of Ruthenium(Ii) Polypyridyl Complexes Elucidated Through Raman Spectroscopy, Luke O'Neill, Laura Perdisatt, Christine O'Connor

Articles

A series of ruthenium polypyridyl complexes were studied using Raman spectroscopy supported by UV/Vis absorption, luminescence spectroscopy, and luminescence lifetime determination by time-correlated single photon counting (TCSPC). -e complexes were characterised to determine the influence of the variation of the conjugation across the main polypyridyl ligand. -e systematic and sequential variation of the main polypyridyl ligand, 2-(4-formylphenyl)imidazo[4,5-f][1,10]phenanthroline (FPIP), 2-(4-cyanophenyl)imidazo[4,5-f][1,10]phenanthroline (CPIP), 2-(4-bromophenyl)imidazo[4,5-f][1,10]phenanthroline (BPIP), and 2-(4-nitrophenyl)imidazo[4,5-f][1,10]phenanthroline (NPIP) ligands, allowed the monitoring of very small changes in the ligands electronic nature. Complexes containing a systematic variation of the position (para, meta, and ortho) of the nitrile terminal group on the ligand (the para …

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A Comparison Of On-Line And Off-Line Bioaerosol Measurements At A Biowaste Site, Patrick Feeney, Santiago Fernández Rodríguez, Rafael Molina, Eoin Mcgillicuddy, Stig Hellebust, Michael Quirke, Shane Daly, David O'Connor, John Sodeau Jan 2018

A Comparison Of On-Line And Off-Line Bioaerosol Measurements At A Biowaste Site, Patrick Feeney, Santiago Fernández Rodríguez, Rafael Molina, Eoin Mcgillicuddy, Stig Hellebust, Michael Quirke, Shane Daly, David O'Connor, John Sodeau

Articles

An air measurement campaign was carried out at a green-waste composting site in the South of Ireland during Spring 2016. The aim was to quantify and identify the levels of Primary Biological Aerosol Particles (PBAP) that were present using the traditional off-line, impaction/optical microscopy method alongside an on-line, spectroscopic approach termed WIBS (Wideband Integrated Bioaerosol Sensor), which can provide number concentrations, sizes and “shapes” of airborne PBAP in real-time by use of Light Induced Fluorescence (LIF). The results from the two techniques were compared in order to validate the use of the spectroscopic method for determining the releases of the …

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Protection Of Triplet Excited State Materials From Oxygen Quenching And Photooxidation In Optical Sensing Applications, Mikhail Filatov Jan 2018

Protection Of Triplet Excited State Materials From Oxygen Quenching And Photooxidation In Optical Sensing Applications, Mikhail Filatov

Books/Book chapters

No abstract provided.

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Hollow Core Fiber Based Interferometer For High Temperature (1000 °C) Measurement, Dejun Liu, Qiang Wu, Chao Mei, Jinhui Yuan, Xiangjun Xin, Arun Mallik, Fangfang Wei, Wei Han, Rahul Kumar, Chongxiu Yu, Shengpeng Wan, Xingdao He, Bo Liu, Gang-Ding Peng, Yuliya Semenova, Gerald Farrell Jan 2018

Hollow Core Fiber Based Interferometer For High Temperature (1000 °C) Measurement, Dejun Liu, Qiang Wu, Chao Mei, Jinhui Yuan, Xiangjun Xin, Arun Mallik, Fangfang Wei, Wei Han, Rahul Kumar, Chongxiu Yu, Shengpeng Wan, Xingdao He, Bo Liu, Gang-Ding Peng, Yuliya Semenova, Gerald Farrell

Articles

A simple, cost effective high temperature sensor (up to 1000 °C) based on a hollow core fiber (HCF) structure is reported. It is configured by fusion splicing a short section of HCF with a length of few millimeters between two standard single mode fibers (SMF-28). Due to multiple beam interference introduced by the cladding of the HCF, periodic transmission dips with high spectral extinction ratio and high quality (Q) factor are excited. However, theoretical analysis shows that minor variations of the HCF cladding diameter may result in a significant decrease in the Q factor. Experimental results demonstrate that the position …

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Singlemode-Multimode-Singlemode Fibre Structure For Phase Transition Monitoring In Phase Changing Materials, Rahul Kumar, Wei Han, Dejun Liu, Wai Pang Ng, Richard Binns, Krishna Busawon, Yong Qing Fu, Zabih Ghassemlooy, Christopher Underwood, Khamid Mahkmov, Jinhui Yuan, Chongxiu Yu, Huazhong Shu, Xing Ao Li, Tuan Guo, Gerald Farrell, Yuliya Semenova, Qiang Wu Prof. Jan 2018

Singlemode-Multimode-Singlemode Fibre Structure For Phase Transition Monitoring In Phase Changing Materials, Rahul Kumar, Wei Han, Dejun Liu, Wai Pang Ng, Richard Binns, Krishna Busawon, Yong Qing Fu, Zabih Ghassemlooy, Christopher Underwood, Khamid Mahkmov, Jinhui Yuan, Chongxiu Yu, Huazhong Shu, Xing Ao Li, Tuan Guo, Gerald Farrell, Yuliya Semenova, Qiang Wu Prof.

Articles

Abstract. A platinum-coated singlemode-multimode structure is investigated in this paper as an optical fibre sensor (OFS) to monitor the phase transition of a phase change material (PCM). Paraffin wax has been used as an example to demonstrate the sensor’s performance and operation. Most materials have the same temperature but different thermal energy levels during the phase change process, therefore, sole dependency on temperature measurement may lead to an incorrect estimation of the stored energy in PCM. The output spectrum of the reflected light from the OFS is very sensitive to the bend introduced by the PCM where both liquid and …

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Temperature-Related Mortality Impacts Under And Beyond Paris Agreement Climate Change Scenarios, Ana Maria Vicedo-Cabrera, Yuming Guo, Francesco Sera, Veronika Huber, Carl Friedrich Schleussner, Dann Mitchell, Shilu Tong, Micheline De Sousa Zanotti Stagliorio Coelho, Paulo Hilário Nascimento Nascimento Saldiva, Éric Lavigne, Patricia Matus Correa, Nicolas Valdes Ortega, Haidong Kan, Samuel Osorio, Jan Kyselý, Aleš Urban, Jouni J.K. Jaakkola, Niilo R.I. Ryti, Mathilde Pascal, Patrick J. Goodman, Ariana Zeka, Paola Michelozzi, Matteo Scortichini, Masahiro Hashizume, Yasushi Honda, Magali Hurtado-Díaz, Julio Gonzalez Cruz, Xerxes T. Seposo, Ho Kim, Aurelio Tobías, Carmen Iñiguez Fernández, Bertil Forsberg, Daniel Oudin Åström, Martina S. Ragettli, Martin Röösli, Yueleon Guo, Chang-Fu Wu, Antonella Zanobetti, Joel D. Schwartz, Michelle L. Bell, Tranngoc Ngoc Dang, Dung Do Van, C. Heaviside, Sotiris Vardoulakis, Shakoor Hajat, Andrew Haines, London School Of Hygiene & Tropical Medicine, London, United Kingdom London School Of Hygiene & Tropical Medicine, London, United Kingdom, Ben G. Armstrong, Kristie L. Ebi, Antonio Gasparrini Jan 2018

Temperature-Related Mortality Impacts Under And Beyond Paris Agreement Climate Change Scenarios, Ana Maria Vicedo-Cabrera, Yuming Guo, Francesco Sera, Veronika Huber, Carl Friedrich Schleussner, Dann Mitchell, Shilu Tong, Micheline De Sousa Zanotti Stagliorio Coelho, Paulo Hilário Nascimento Nascimento Saldiva, Éric Lavigne, Patricia Matus Correa, Nicolas Valdes Ortega, Haidong Kan, Samuel Osorio, Jan Kyselý, Aleš Urban, Jouni J.K. Jaakkola, Niilo R.I. Ryti, Mathilde Pascal, Patrick J. Goodman, Ariana Zeka, Paola Michelozzi, Matteo Scortichini, Masahiro Hashizume, Yasushi Honda, Magali Hurtado-Díaz, Julio Gonzalez Cruz, Xerxes T. Seposo, Ho Kim, Aurelio Tobías, Carmen Iñiguez Fernández, Bertil Forsberg, Daniel Oudin Åström, Martina S. Ragettli, Martin Röösli, Yueleon Guo, Chang-Fu Wu, Antonella Zanobetti, Joel D. Schwartz, Michelle L. Bell, Tranngoc Ngoc Dang, Dung Do Van, C. Heaviside, Sotiris Vardoulakis, Shakoor Hajat, Andrew Haines, London School Of Hygiene & Tropical Medicine, London, United Kingdom London School Of Hygiene & Tropical Medicine, London, United Kingdom, Ben G. Armstrong, Kristie L. Ebi, Antonio Gasparrini

Articles

The Paris Agreement binds all nations to undertake ambitious efforts to combat climate change, with the commitment to Bhold warming well below 2 °C in global mean temperature (GMT), relative to pre-industrial levels, and to pursue efforts to limit warming to 1.5 °C^. The 1.5 °C limit constitutes an ambitious goal for which greater evidence on its benefits for health would help guide policy and potentially increase the motivation for action. Here we contribute to this gap with an assessment on the potential health benefits, in terms of reductions in temperature-related mortality, derived from the compliance to the agreed temperature …

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Quantifying Excess Deaths Related To Heatwaves Under Climate Change Scenarios: A Multicountry Time Series Modelling Study, Yuming Guo, Antonio Gasparrini, Shanshan Li, Francesco Sera, Ana Maria Vicedo-Cabrera, Micheline De Sousa Zanotti Stagliorio Coêlho, Paulo Hilário Nascimento Nascimento Saldiva, Éric Lavigne, Benjawan Tawatsupa, Kornwipa Punnasiri, Ala Overcenco, Patricia Matus Correa, Nicolas Valdes Ortega, Haidong Kan, Samuel Osorio, Jouni J.K. Jaakkola, Niilo R.I. Ryti, Patrick J. Goodman, Ariana Zeka, Paola Michelozzi, Matteo Scortichini, Masahiro Hashizume, Honda, Yasushi Honda, Yasushi, Xerxes T. Seposo, Ho Young Kim, Aurelio Tobías, Carmen Iñiguez Fernández, Bertil Forsberg, Daniel Oudin Åström, Guo, Yue Leon Guo, Yue Leon, Bing Yu Chen, Antonella Zanobetti, Joel D. Schwartz, Tranngoc Ngoc Dang, Dung Do Van, Michelle L. Bell, Ben G. Armstrong, Ebi, Kristie L. Ebi, Kristie L., Shilu Tong Jan 2018

Quantifying Excess Deaths Related To Heatwaves Under Climate Change Scenarios: A Multicountry Time Series Modelling Study, Yuming Guo, Antonio Gasparrini, Shanshan Li, Francesco Sera, Ana Maria Vicedo-Cabrera, Micheline De Sousa Zanotti Stagliorio Coêlho, Paulo Hilário Nascimento Nascimento Saldiva, Éric Lavigne, Benjawan Tawatsupa, Kornwipa Punnasiri, Ala Overcenco, Patricia Matus Correa, Nicolas Valdes Ortega, Haidong Kan, Samuel Osorio, Jouni J.K. Jaakkola, Niilo R.I. Ryti, Patrick J. Goodman, Ariana Zeka, Paola Michelozzi, Matteo Scortichini, Masahiro Hashizume, Honda, Yasushi Honda, Yasushi, Xerxes T. Seposo, Ho Young Kim, Aurelio Tobías, Carmen Iñiguez Fernández, Bertil Forsberg, Daniel Oudin Åström, Guo, Yue Leon Guo, Yue Leon, Bing Yu Chen, Antonella Zanobetti, Joel D. Schwartz, Tranngoc Ngoc Dang, Dung Do Van, Michelle L. Bell, Ben G. Armstrong, Ebi, Kristie L. Ebi, Kristie L., Shilu Tong

Articles

Background: Heatwaves are a critical public health problem. There will be an increase in the frequency and severity of heatwaves under changing climate. However, evidence about the impacts of climate change on heatwave-related mortality at a global scale is limited. Methods and findings: We collected historical daily time series of mean temperature and mortality for all causes or nonexternal causes, in periods ranging from January 1, 1984, to December 31, 2015, in 412 communities within 20 countries/regions. We estimated heatwave–mortality associations through a two-stage time series design. Current and future daily mean temperature series were projected under four scenarios of …

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