cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Geostructure of Coroglio tuff cliff, Naples (Italy) derived from terrestrial laser scanner data
Creators: name: Matano, Fabio
name: Iuliano, Sabato
name: Somma, Renato
name: Marino, Ermanno
name: Vecchio, Umberto Del
name: Esposito, Giuseppe
name: Molisso, Flavia
name: Scepi, Germana
name: Grimaldi, Giuseppe Maria
name: Pignalosa, Antonio
name: Caputo, Teresa
name: Troise, Claudia
name: Natale, Giuseppe De
name: Sacchi, Marco
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: We present a long-range terrestrial laser scanner application for the geostructural mapping of Coroglio cliff, a tuff rock face exposed along the coastal zone of Campi Flegrei, Napoli. The procedure includes several phases (geomorphological analysis, structural field survey, laser scanner data acquisition and data processing, 3-D model development and analysis, geostructural classification of discontinuity orientation data and 2-D vertical cartographic production). Field data were processed with specific software dedicated to geostructural and geometric analysis. Spatial data were managed with a geographical information system and have been used for the construction of 2-D and 3-D geometric models of the rock cliff surface and geostructural interpretation. The main product of this study is a vertical geostructural map of the Coroglio cliff at 1:500 scale that illustrates the spatial distribution and orientation of the major families of structural discontinuities detected along the exposed surface of the cliff. The cartographic product includes base information useful to identify the main rock failure mechanisms along the cliff and represents a first step for the zonation of areas susceptible to block failures and the planning of monitoring activities.
The adsorption of fluorinated dopants at the surface of 5CB: a neutron reflection study
Creators: name: Mears, Laura L.E.
name: Vos, Wiebe M. De
name: Prescott, Stuart W.
name: Germinal Magro
name: Rogers, Sarah
name: Skoda, Maximilian W.A.
name: Watkins, Erik B.
name: Zimmermann, Herbert
name: Richardson, Robert M.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Space Science
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Developmental Biology
subject: Cancer

description: The adsorption of dopants at the surface of 5CB has been studied using neutron reflection. The dopants were versions of 11OCB with partly fluorinated chains, and the 5CB was interfaced with air or with silica treated with fluorocarbon or hydrocarbon coatings. At the air interface, the F17-11OCB adsorbed homeotropically, and the amount increased on cooling into the nematic phase of 5CB. At low temperatures, the adsorption from the nematic phase appeared to saturate at a bilayer. At the solid interfaces, there was some evidence for a thin planar layer at the surface, but most of the adsorbed dopant was in the form of diffuse layers. In both cases, an increase in dopant concentration caused higher adsorbed amounts. For F17-11OCB, the amount absorbed was much greater for a fluorinated coating as opposed to a hydrocarbon-coated surface. Also no adsorption of the F3-11OCB could be detected, suggesting that the adsorption process is driven by the oleophobic effect. The results demonstrate that it is possible to manipulate surface properties of liquid crystals using surfactant-like dopants.
Distribution metrie driven adaptive random testing
Creators: name: Chen, Tsong
name: Kuo, Fei-Ching
name: Liu, Huai
Publisher: name: Swinburne
Year: 2024

description: Adaptive Random Testing (ART) was developed to enhance the failure detection capability of Random Testing. The basic principle of ART is to enforce random test cases evenly spread inside the input domain. Various distribution metrics have been used to measure different aspects of the evenness of test case distribution. As expected, it has been observed that the failure detection capability of an ART algorithm is related to how evenly test cases are distributed. Motivated by such an observation, we propose a new family of ART algorithms, namely distribution metric driven ART, in which, distribution metrics are key drivers for evenly spreading test cases inside ART. Our study uncovers several interesting results and shows that the new algorithms can spread test cases more evenly, and also have better failure detection capabilities.
Have the personality and socio-demographic profiles of Australian adolescent drinkers changed?
Creators: name: Taylor, N
name: Callinan, Sarah
name: Pennay, Amy
name: Livingston, Michael
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 42
subject: Health sciences
subject: FOS: Health sciences
classificationCode: 52
subject: Psychology
subject: FOS: Psychology
classificationCode: 44
subject: Human society
classificationCode: 4206
subject: Public health

description: Introduction: Adolescent alcohol consumption has been declining across many countries, with rates of abstinence also increasing among younger cohorts. A range of socio-demographic variables and personality traits are associated with alcohol use; however, no study has examined whether the relationship between personality and drinking has changed over time as adolescent drinking has declined. Methods: Data from 15- to 17-year-old respondents were extracted from four waves (2004/2005, 2008/2009, 2012/2013, 2016/2017) of a long running Australian cohort study. Logistic regression analyses with interaction terms were used to determine whether personality traits (openness, conscientiousness, extraversion, agreeableness and emotional stability) and socio-demographic variables (age, gender, equivalised income, family structure, cultural background, school attendance and regionality) significantly differed between drinkers and abstainers and whether these relationships changed across cohorts. Results: The prevalence of drinking for 15- to 17-year-olds significantly declined over each survey wave from 54% in 2004/2005 to 24% in 2016/2017. Conscientiousness (odds ratio [OR] 0.82, confidence interval [CI] = 0.73, 0.93), extraversion ([OR] 1.25, [CI] = 1.11, 1.40) and emotional stability ([OR] 0.73, [CI] = 0.64, 0.83) were all significant predictors of alcohol consumption. No significant interactions between cohort and personality traits or socio-demographic variables were found. Discussion and Conclusions: The study found no evidence to indicate that the relationship between adolescent alcohol consumption and personality has changed. Similarly, socio-demographic relationships with drinking were stable as drinking prevalence dropped by more than half. This adds to the evidence that drinking declines among adolescents are spread broadly across the population and not concentrated within identifiable sub-groups of young people.
An empirical evaluation of IP time to live covert channels
Creators: name: Zander, Sebastian
name: Armitage, Grenville
name: Branch, Philip
Publisher: name: Swinburne
Year: 2024

description: Communication is not necessarily made secure by the use of encryption alone. The mere existence of communication is often enough to raise suspicion and trigger investigative actions. Covert channels aim to side-step this problem by hiding additional information within the 'normal' behaviour of preexisting communication streams. The huge amount of data and vast number of different protocols in the Internet make it ideal as a high-bandwidth vehicle for covert channels. Several researchers have proposed modulation techniques to encode covert information into the IP Time To Live field. In this paper we compare the different encoding techniques and also propose two new improved encoding schemes. We present a software framework developed for evaluating covert channels in network protocols. We use this software to empirically evaluate the transmission rates of the different TTL modulation techniques for real Internet traffic.
Second-order theory and setup in surface gravity waves: A comparison with experimental data
Creators: name: Toffoli, Alessandro
name: Onorato, M.
name: Babanin, Alexander
name: Bitner-Gregersen, E.
name: Osborne, A. R.
name: Monbaliu, J.
Publisher: name: Swinburne
Year: 2024

description: The second-order, three-dimensional, finite-depth wave theory is here used to investigate the statistical properties of the surface elevation and wave crests of field data from Lake George, Australia. A direct comparison of experimental and numerical data shows that, as long as the nonlinearity is small, the second-order model describes the statistical properties of field data very accurately. By low-pass filtering the Lake George time series, there is evidence that some energetic wave groups are accompanied by a setup instead of a setdown. A numerical study of the coupling coefficient of the second-order model reveals that such an experimental result is consistent with the second-order theory, provided directional spreading is included in the wave spectrum. In particular, the coupling coefficient of the second-order difference contribution predicts a setup as a result of the interaction of two waves with the same frequency but with different directions. This result is also confirmed by numerical simulations. Bispectral analysis, furthermore, indicates that this setup is a statistically significant feature of the observed wave records.
N-body models of open clusters
Creators: name: Hurley, Jarrod
Publisher: name: Swinburne
Year: 2024

description: N-body simulations of open cluster evolution with primordial binaries are reviewed. In particular, recent results arising from models with initial N in the range of 20000100000 bodies are compared to earlier idealized models with N ~ 2000. Efforts to model real clusters are discussed, including how limitations of the models such as simplified initial conditions will be addressed in the near future.
EPLANopt optimization model based on EnergyPLAN applied at regional level: the future competition on excess electricity production from renewables
Creators: name: Prina, Matteo Giacomo
name: Moser, David
name: Vaccaro, Roberto
name: Sparber, Wolfram
Publisher: name: International Journal of Sustainable Energy Planning and Management
Year: 2020

description: To face environmental and energy security issues, planning an energy system with high penetration of renewables is becoming increasingly important. The EPLANopt model couples a multi-objective evolutionary algorithm to EnergyPLAN simulation software to study the future best energy mix. In this study, EPLANopt is applied to the case study of Niederösterreich, an Austrian region, to inspect the best configurations of the energy system at 2050. This model is used to inspect the competition between different renewable energy integration options. Storage systems, power to gas, power to heat or power to mobility are all integration options taken into account to study their competition in presence of electricity excess from renewables. The results show that in order to decarbonize the energy system the increase of the installed power of renewables is not enough to reach the CO2 reduction objective. Integration methods like the already mentioned storage systems, power to gas, power to heat or power to mobility become relevant. In particular the results show a deep energy efficiency refurbishment coupled to power to heat through heat pumps. Power to gas presents a relevant role in the integration of the excess of electricity from renewables. However, at the increase of electric mobility penetration the available excess of electricity is reduced and the deployment of power to gas decreases.
description: International Journal of Sustainable Energy Planning and Management, Vol. 27 (2020): Special Issue from the 5th International Conference on Smart Energy Systems
New Developments in 4th generation district heating and smart energy systems
Creators: name: Østergaard, Poul Alberg
name: Johannsen, Rasmus Magni
name: Lund, Henrik
name: Mathiesen, Brian Vad
Publisher: name: International Journal of Sustainable Energy Planning and Management
Year: 2020

description: Pending
description: International Journal of Sustainable Energy Planning and Management, Vol. 27 (2020): Special Issue from the 5th International Conference on Smart Energy Systems
Does a WSN MAC based on uniform access without re-attempts have merits?
Creators: name: Shu, Feng
name: Sakurai, Taka
name: Vu, Hai
name: Zukerman, Moshe
Publisher: name: Swinburne
Year: 2024

description: We consider a simplified medium access control scheme, select-and-transmit (S&T), for wireless sensor networks, in which the sensor nodes choose transmission slots uniformly without re-attempts. Numerical results show that the S&T MAC can perform better than the IEEE 802.15.4 standard in event-driven sensor networks scenarios, where only a small proportion of packets need to be collected.
The role of 4th generation district heating (4GDH) in a highly electrified hydropower dominated energy system
Creators: name: Askeland, Kristine
name: Johnsen Rygg, Bente
name: Sperling, Karl
Publisher: name: International Journal of Sustainable Energy Planning and Management
Year: 2020

description: District heating is considered an important component in a future highly renewable European energy system. With the turn towards developing 4th generation district heating (4GDH), the integral role of district heating in fully renewable energy systems is emphasized further. Norway is a country that is expected to play a significant role in the transition of the European energy system due to its high shares of flexible hydropower in the electricity sector. At the same time, the country is moving towards electrification in all sectors and higher shares of variable renewable electricity generation, potentially reducing the flexibility of the system. District heating has played a minor role in Norway but could potentially decrease the need for electric capacity expansion and increase the flexibility of the system. In this paper we investigate the role of 4GDH in a highly electrified future Norwegian energy system. A highly electrified scenario for the Norwegian energy system is constructed based on a step-by-step approach, implementing measures towards electrification and expansion of renewable electricity generation. Then, a 4GDH scenario is constructed for the purpose of analysing the role of 4GDH. EnergyPLAN is used for simulation. Results show that an expansion of 4GDH will increase the total system efficiency of the Norwegian energy system due to the introduction of heat savings, more efficient heating solutions and low-temperature excess heat. However, the flexibility provided from increased heat storage capacity is limited.
description: International Journal of Sustainable Energy Planning and Management, Vol. 27 (2020): Special Issue from the 5th International Conference on Smart Energy Systems
title: International Journal of Sustainable Energy Planning and Management, Vol. 27 (2020): Special Issue from the 5th International Conference on Smart Energy Systems
title: Special Issue from the 5th International Conference on Smart Energy Systems
titleType: AlternativeTitle
Creators: name: International Journal Of Sustainable Energy Planning And Management
Publisher: name: International Journal of Sustainable Energy Planning and Management
Year: 2020

description: Special Issue from the 5th International Conference on Smart Energy Systems 4th Generation District Heating, Electrification, Electrofuels and Energy Efficiency Copenhagen 10-11 September 2019
description: New Developments in 4th generation district heating and smart energy systems...1-3 Planning of district heating regions in Estonia...5-15 The role of 4th generation district heating (4GDH) in a highly electrified hydropower dominated energy system...17-34 EPLANopt optimization model based on EnergyPLAN applied at regional level: the future competition on excess electricity production from renewables...35-50 A novel method for forecasting electricity prices in a system with variable renewables and grid storage...51-66
Small Area Estimation With Uncertain Random Effects
Creators: name: Datta, Gauri Sankar
name: Abhyuday Mandal
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Random effects models play an important role in model-based small area estimation. Random effects account for any lack of fit of a regression model for the population means of small areas on a set of explanatory variables. In a recent article, Datta, Hall, and Mandal showed that if the random effects can be dispensed with via a suitable test, then the model parameters and the small area means may be estimated with substantially higher accuracy. The work of Datta, Hall, and Mandal is most useful when the number of small areas, m, is moderately large. For large m, the null hypothesis of no random effects will likely be rejected. Rejection of the null hypothesis is usually caused by a few large residuals signifying a departure of the direct estimator from the synthetic regression estimator. As a flexible alternative to the Fay–Herriot random effects model and the approach in Datta, Hall, and Mandal, in this article we consider a mixture model for random effects. It is reasonably expected that small areas with population means explained adequately by covariates have little model error, and the other areas with means not adequately explained by covariates will require a random component added to the regression model. This model is a useful alternative to the usual random effects model and the data determine the extent of lack of fit of the regression model for a particular small area, and include a random effect if needed. Unlike the Datta, Hall, and Mandal approach which recommends excluding random effects from all small areas if a test of null hypothesis of no random effects is not rejected, the present model is more flexible. We used this mixture model to estimate poverty ratios for 5–17-year-old-related children for the 50 U.S. states and Washington, DC. This application is motivated by the SAIPE project of the U.S. Census Bureau. We empirically evaluated the accuracy of the direct estimates and the estimates obtained from our mixture model and the Fay–Herriot random effects model. These empirical evaluations and a simulation study, in conjunction with a lower posterior variance of the new estimates, show that the new estimates are more accurate than both the frequentist and the Bayes estimates resulting from the standard Fay–Herriot model. Supplementary materials for this article are available online.
Validation of the random waypoint mobility model through a real world mobility trace
Creators: name: Rojas, Andres
name: Branch, Philip
name: Armitage, Grenville
Publisher: name: Swinburne
Year: 2024

description: The Random Waypoint Model (RWP) is a simple mobility model based on random destinations, speeds and pause times. The RWP is one of many mobility models used in simulations of mobile communications networks to model human movement. The RWP is often criticised as not being representative of how humans actually move. Paradoxically, validation of the RWP against real mobility data is seen as being difficult due to the impracticalities of obtaining real mobility data. In this paper we consider the RWP as a model of user mobility in networks that cater for a large geographical areas, such as a city. We present results from a real world user movement trace and use these to validate some of the key characteristics of the RWP. The data presented was obtained from one individual's movement around the city of Melbourne, Australia, for a period of two months and included recording the individual's destinations, speed, rest times, and routes of travel.
Improved Fatigue Strengths of Nanocrystalline Cu and Cu–Al Alloys
Creators: name: Xianghai An
name: Qingyun Lin
name: Shiding Wu
name: Zhefeng Zhang
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Earth and Environmental Sciences
subject: Molecular Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Microbiology
subject: Engineering
subject: Biochemistry
subject: Biophysics

description: Increasing the fatigue strengths of high-strength materials, especially their endurance limits is essentially challenging. The fatigue strengths of nanocrystalline (NC) Cu and Cu–Al alloys processed by high-pressure torsion were prominently enhanced with a decrease in stacking fault energy. This remarkable escalation can be attributed not only to their significantly increased tensile strengths in macro-scale, but also to the essentially improved microstructure stability and reduced strain localization within shear bands in microscale. Owing to the limitation of their intrinsic fatigue mechanisms, the fatigue limits of NC Cu and Cu–Al alloys cannot always acquire appreciable improvement with their monotonic strengths.
Geostructure of Coroglio tuff cliff, Naples (Italy) derived from terrestrial laser scanner data
Creators: name: Matano, Fabio
name: Iuliano, Sabato
name: Somma, Renato
name: Esposito, Giuseppe
name: Molisso, Flavia
name: Troise, Claudia
name: Natale, Giuseppe De
name: Sacchi, Marco
name: Marino, Ermanno
name: Vecchio, Umberto Del
name: Scepi, Germana
name: Grimaldi, Giuseppe Maria
name: Pignalosa, Antonio
name: Caputo, Teresa
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Plant Biology
subject: FOS: Biological sciences
subject: Science Policy
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Earth and Environmental Sciences
subject: Biotechnology

description: We present a long-range terrestrial laser scanner application for the geostructural mapping of Coroglio cliff, a tuff rock face exposed along the coastal zone of Campi Flegrei, Napoli. The procedure includes several phases (geomorphological analysis, structural field survey, laser scanner data acquisition and data processing, 3-D model development and analysis, geostructural classification of discontinuity orientation data and 2-D vertical cartographic production). Field data were processed with specific software dedicated to geostructural and geometric analysis. Spatial data were managed with a geographical information system and have been used for the construction of 2-D and 3-D geometric models of the rock cliff surface and geostructural interpretation. The main product of this study is a vertical geostructural map of the Coroglio cliff at 1:500 scale that illustrates the spatial distribution and orientation of the major families of structural discontinuities detected along the exposed surface of the cliff. The cartographic product includes base information useful to identify the main rock failure mechanisms along the cliff and represents a first step for the zonation of areas susceptible to block failures and the planning of monitoring activities.
ПОРТРЕТ КАК ИНСТРУМЕНТАРИЙ ВОСПРОИЗВЕДЕНИЯ ПСИХОЛОГИЗМА В «ЖЕНСКОЙ ПРОЗЕ» ЗУЛЬФИИ КУРОЛБОЙ КИЗИ
Creators: name: Муртазаева, Феруза
Publisher: name: Zenodo
Year: 2024

description: В данной статье будет рассмотрено использование портрета как инструментария воспроизведения психологизма в современной узбекской женской прозе и то, как он служит системой отражения психологизма на примере рассказов Зульфии Куролбой кизи. Изображение психологических состояний и эмоций является распространенной темой в литературе, и узбекская женская проза не является исключением.
Small Area Estimation With Uncertain Random Effects
Creators: name: Datta, Gauri Sankar
name: Abhyuday Mandal
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Random effects models play an important role in model-based small area estimation. Random effects account for any lack of fit of a regression model for the population means of small areas on a set of explanatory variables. In a recent article, Datta, Hall, and Mandal showed that if the random effects can be dispensed with via a suitable test, then the model parameters and the small area means may be estimated with substantially higher accuracy. The work of Datta, Hall, and Mandal is most useful when the number of small areas, m, is moderately large. For large m, the null hypothesis of no random effects will likely be rejected. Rejection of the null hypothesis is usually caused by a few large residuals signifying a departure of the direct estimator from the synthetic regression estimator. As a flexible alternative to the Fay–Herriot random effects model and the approach in Datta, Hall, and Mandal, in this article we consider a mixture model for random effects. It is reasonably expected that small areas with population means explained adequately by covariates have little model error, and the other areas with means not adequately explained by covariates will require a random component added to the regression model. This model is a useful alternative to the usual random effects model and the data determine the extent of lack of fit of the regression model for a particular small area, and include a random effect if needed. Unlike the Datta, Hall, and Mandal approach which recommends excluding random effects from all small areas if a test of null hypothesis of no random effects is not rejected, the present model is more flexible. We used this mixture model to estimate poverty ratios for 5–17-year-old-related children for the 50 U.S. states and Washington, DC. This application is motivated by the SAIPE project of the U.S. Census Bureau. We empirically evaluated the accuracy of the direct estimates and the estimates obtained from our mixture model and the Fay–Herriot random effects model. These empirical evaluations and a simulation study, in conjunction with a lower posterior variance of the new estimates, show that the new estimates are more accurate than both the frequentist and the Bayes estimates resulting from the standard Fay–Herriot model. Supplementary materials for this article are available online.
Simulating the effect of landscape structure and land use change on honey bee vitality for Germany
Creators: name: Groeneveld, Juergen
Publisher: name: Zenodo
Year: 2023

description: Honey bees (Apis mellifera) are exposed to multiple stressors such as pesticides, forage gaps, diseases, land use change and management failures. It is therefore a long-standing aim to develop a robust understanding how stressors impact honey bee vitality. Especially the role of landscape structure and amount of mass flowering crop in the landscape on bee vitality is discussed in the literature. However, experimental and monitoring studies are limited in their ability to assess these relationships between stressors and honey bee vitality systematically. Therefore, we use the established honey bee simulation model BEEHAVE in combination with land use classification maps to contribute to the assessment of honey bee vitality in Germany. This work is one use case of the BioDT project to develop digital Twins for biodiversity. In this presentation we will focus on the effect of landscape structure on relevant end points such as winter mortality and honey production. Our results are in line with previous findings that temporal foraging gaps are severe threads to honey bees and that landscape elements (e.g. semi natural grasslands) that provide resources in absence of mass flowering crops (e.g. oilseed rape) are essential for honey bee population performance. This study is an important step towards a model-based, automatic, easy and free to apply Germany-wide assessment of honey bee vitality for agricultural landscapes.

The poster was first presented at the Annual Meeting of the GfÖ 2023 12-16 September in Leipzig, Germany.
The adsorption of fluorinated dopants at the surface of 5CB: a neutron reflection study
Creators: name: Mears, Laura L.E.
name: Vos, Wiebe M. De
name: Prescott, Stuart W.
name: Germinal Magro
name: Rogers, Sarah
name: Skoda, Maximilian W.A.
name: Watkins, Erik B.
name: Zimmermann, Herbert
name: Richardson, Robert M.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Cancer
Developmental Biology
Biological Sciences
Chemistry
Earth and Environmental Sciences
Biotechnology
Medicine
Engineering
Biophysics

description: The adsorption of dopants at the surface of 5CB has been studied using neutron reflection. The dopants were versions of 11OCB with partly fluorinated chains, and the 5CB was interfaced with air or with silica treated with fluorocarbon or hydrocarbon coatings. At the air interface, the F17-11OCB adsorbed homeotropically, and the amount increased on cooling into the nematic phase of 5CB. At low temperatures, the adsorption from the nematic phase appeared to saturate at a bilayer. At the solid interfaces, there was some evidence for a thin planar layer at the surface, but most of the adsorbed dopant was in the form of diffuse layers. In both cases, an increase in dopant concentration caused higher adsorbed amounts. For F17-11OCB, the amount absorbed was much greater for a fluorinated coating as opposed to a hydrocarbon-coated surface. Also no adsorption of the F3-11OCB could be detected, suggesting that the adsorption process is driven by the oleophobic effect. The results demonstrate that it is possible to manipulate surface properties of liquid crystals using surfactant-like dopants.
Small Area Estimation with Uncertain Random Effects
Creators: name: Datta, Gauri Sankar
name: Abhyuday Mandal
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Plant Biology
subject: FOS: Biological sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Cancer
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Ecology
subject: Biotechnology
subject: Neuroscience
subject: Genetics
subject: Medicine

description: Random effects models play an important role in model-based small area estimation. Random effects account for any lack of fit of a regression model for the population means of small areas on a set of explanatory variables. In a recent paper, Datta, Hall and Mandal (2011, J. Amer. Statist. Assoc.) showed that if the random effects can be dispensed with via a suitable test, then the model parameters and the small area means may be estimated with substantially higher accuracy. The work of Datta et al. (2011) is most useful when the number of small areas, m, is moderately large. For large m, the null hypothesis of no random effects will likely be rejected. Rejection of the null hypothesis is usually caused by a few large residuals signifying a departure of the direct estimator from the synthetic regression estimator. As a flexible alternative to the Fay-Herriot random effects model and the approach in Datta et al. (2011), in this paper we consider a mixture model for random effects. It is reasonably expected that small areas with population means explained adequately by covariates have little model error, and the other areas with means not adequately explained by covariates will require a random component added to the regression model. This model is a useful alternative to the usual random effects model and the data determine the extent of lack of fit of the regression model for a particular small area, and include a random effect if needed. Unlike the Datta et al. (2011) approach which recommends excluding random effects from all small areas if a test of null hypothesis of no random effects is not rejected, the present model is more flexible. We used this mixture model to estimate poverty ratios for 5- to 17-year old related children for the 50 U.S. states and Washington, DC. This application is motivated by the SAIPE project of the US Census Bureau. We empirically evaluated the accuracy of the direct estimates and the estimates obtained from our mixture model and the Fay-Herriot random effects model. These empirical evaluations and a simulation study, in conjunction with a lower posterior variance of the new estimates, show that the new estimates are more accurate than both the frequentist and the Bayes estimates resulting from the standard Fay-Herriot model.
Modelling and solving QoS composition problem using fuzzy DisCSP
Creators: name: Nguyen, Xuan Thang
name: Kowalczyk, Ryszard
name: Phan, Mann Tan
Publisher: name: Swinburne
Year: 2024

description: Web service compositions have attracted considerable efforts in the context of supporting enterprise application integrations. For a composite service, in addition to its functional requirements, QoS requirements are important and deserve a special attention. The central question to a QoS composition problem is how to compose a service from different subcomponent services so that its overall QoS can satisfy certain requirements. In this paper, we propose an agent-based method using fuzzy distributed constraint satisfaction problem (fuzzy DisCSP) techniques to solve this problem. We show that by using the composition structures, local constraints can be constructed and used with DisCSP. We also present an a new algorithm called the fuzzy constraint satisfaction algorithm for distributed environment (FADE) to solve the problem and discuss our experiment in building a prototypical system to prove the feasibility of our approach.
Weak Identification in Fuzzy Regression Discontinuity Designs
Creators: name: Feir, Donna
name: Lemieux, Thomas
name: Marmer, Vadim
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: In fuzzy regression discontinuity (FRD) designs, the treatment effect is identified through a discontinuity in the conditional probability of treatment assignment. We show that when identification is weak (i.e., when the discontinuity is of a small magnitude), the usual t-test based on the FRD estimator and its standard error suffers from asymptotic size distortions as in a standard instrumental variables setting. This problem can be especially severe in the FRD setting since only observations close to the discontinuity are useful for estimating the treatment effect. To eliminate those size distortions, we propose a modified t-statistic that uses a null-restricted version of the standard error of the FRD estimator. Simple and asymptotically valid confidence sets for the treatment effect can be also constructed using this null-restricted standard error. An extension to testing for constancy of the regression discontinuity effect across covariates is also discussed. Supplementary materials for this article are available online.
A Facile One-Step Multi-Component Approach toward the Synthesis of 3-(2-Amino-4-Thiazolyl)Coumarins by using Trimethylsilyl Isothiocyanate and their Antioxidant and Anti-Inflammatory Activity
Creators: name: Ramagiri, Raj Kumar
name: Rajeswar Rao Vedula
name: Murali Krishna Thupurani
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Mathematics
subject: FOS: Mathematics
subject: Immunology
subject: FOS: Clinical medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Physiology
subject: Microbiology
subject: Biological Sciences
subject: Chemistry
subject: Cell Biology

description: GRAPHICAL ABSTRACT
Assessing security properties of software components: A software engineer's perspective
Creators: name: Khan, Khaled M.
name: Han, Jun
Publisher: name: Swinburne
Year: 2024

description: The paper proposes an assessment scheme for the security properties of software components. The proposed scheme consists of three stages: (i) a system-specific security requirement specification of the enclosing application; (ii) a component-specific security rating; and (iii) an evaluation method for the scored security properties of the candidate component. The assessment scheme ultimately provides a numeric score indicating a relative strength of the security properties of the candidate component. The scheme is partially based on ISO/IEC 15408, the Common Criteria for Information Technology Security Evaluation (CC) and the Multi-Element Component Comparison and Analysis (MECCA) model. The scheme is flexible enough for software engineers to use. in order to get a first-hand preliminary assessment of the security posture of candidate components.
Molecular docking based virtual screening of natural compounds as potential BACE1 inhibitors: 3D QSAR pharmacophore mapping and molecular dynamics analysis
Creators: name: Akhil Kumar
name: Sharma, Ashok
name: Sudeep Roy
name: Shubhandra Tripathi
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Hematology
Cancer
Information and Computing Sciences
Biological Sciences
Chemistry
Biotechnology
Pharmacology
Molecular Biology
Cell Biology
Biochemistry
Biophysics

description: Beta-site APP cleaving enzyme1 (BACE1) catalyzes the rate determining step in the generation of Aβ peptide and is widely considered as a potential therapeutic drug target for Alzheimer’s disease (AD). Active site of BACE1 contains catalytic aspartic (Asp) dyad and flap. Asp dyad cleaves the substrate amyloid precursor protein with the help of flap. Currently, there are no marketed drugs available against BACE1 and existing inhibitors are mostly pseudopeptide or synthetic derivatives. There is a need to search for a potent inhibitor with natural scaffold interacting with flap and Asp dyad. This study screens the natural database InterBioScreen, followed by three-dimensional (3D) QSAR pharmacophore modeling, mapping, in silico ADME/T predictions to find the potential BACE1 inhibitors. Further, molecular dynamics of selected inhibitors were performed to observe the dynamic structure of protein after ligand binding. All conformations and the residues of binding region were stable but the flap adopted a closed conformation after binding with the ligand. Bond oligosaccharide interacted with the flap as well as catalytic dyad via hydrogen bond throughout the simulation. This led to stabilize the flap in closed conformation and restricted the entry of substrate. Carbohydrates have been earlier used in the treatment of AD because of their low toxicity, high efficiency, good biocompatibility, and easy permeability through the blood–brain barrier. Our finding will be helpful in identify the potential leads to design novel BACE1 inhibitors for AD therapy.
Spectral distribution of energy dissipation of wind-generated waves due to dominant wave breaking
Creators: name: Young, Ian R.
name: Babanin, Alexander
Publisher: name: Swinburne
Year: 2024

description: This paper considers an experimental attempt to estimate the spectral distribution of the dissipation due to breaking of dominant waves. A field wave record with an approximately 50% dominant-breaking rate was analyzed. Segments of the record, comprising sequences of breaking waves, were used to obtain the “breaking spectrum,” and segments of nonbreaking waves were used to obtain the “nonbreaking spectrum.” The clear visible difference between the two spectra was attributed to the dissipation due to breaking. This assumption was supported by independent measurements of total dissipation of kinetic energy in the water column at the measurement location. It is shown that the dominant breaking causes energy dissipation throughout the entire spectrum at scales smaller than the spectral peak waves. The dissipation rate at each frequency is linear in terms of the wave spectral density at that frequency, with a correction for the directional spectral width. A formulation for the spectral dissipation function able to accommodate this effect is suggested. Directional spectra of the breaking and nonbreaking waves are also considered. It is shown that directional dissipation rates at oblique angles are higher than the dissipation in the main wave propagation direction.
A service workflow management framework based on peer-to-peer and agent technologies
Creators: name: Yan, Jim
name: Yang, Yun
name: Kowalczyk, Ryszard
name: Nguyen, Xuan T.
Publisher: name: Swinburne
Year: 2024

description: Service workflow management which consolidates multiple services to achieve business goals has become a critical issue in service-oriented computing. Due to the unique feature of service workflows such as full distribution and high dynamicity, the contemporary workflow technology has exhibited inefficiency, vulnerability, inflexibility and lack of adaptability. Based upon the authors' previous work on peer-to-peer based workflow management and seamless integration of agents and Web services, this paper innovatively presents SwinDeW-A which is a decentralised service workflow management framework based on peer-to-peer and agent technologies. Based on this framework, this paper also discusses how autonomous service level agreement negotiation, decentralised process enactment, and autonomous process adaptation can be achieved. The proposed approach takes advantages of the peer-to-peer computing technology and the agent technology to provide more efficient, reliable, flexible and adaptive service workflow management.
Weak Identification in Fuzzy Regression Discontinuity Designs
Creators: name: Feir, Donna
name: Lemieux, Thomas
name: Marmer, Vadim
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Chemistry
subject: Biotechnology

description: In fuzzy regression discontinuity (FRD) designs, the treatment effect is identified through a discontinuity in the conditional probability of treatment assignment. We show that when identification is weak (i.e. when the discontinuity is of a small magnitude) the usual t-test based on the FRD estimator and its standard error suffers from asymptotic size distortions as in a standard instrumental variables setting. This problem can be especially severe in the FRD setting since only observations close to the discontinuity are useful for estimating the treatment effect. To eliminate those size distortions, we propose a modified t-statistic that uses a null-restricted version of the standard error of the FRD estimator. Simple and asymptotically valid confidence sets for the treatment effect can be also constructed using this null-restricted standard error. An extension to testing for constancy of the regression discontinuity effect across covariates is also discussed.
MPEC 2024-N130 : DAILY ORBIT UPDATE (2024 July 11)
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Femtosecond nonlinear coherence spectroscopy of the blue band of GaN
Creators: name: Dao, Lap
name: Do, My Thi Tra
name: Eckle, Petrissa
name: Hannaford, Peter
Publisher: name: Swinburne
Year: 2024

description: The nonlinear optical properties of an undoped GaN epitaxial layer have been investigated in the spectral region 400 - 450 nm using two-colour multiple-pulse photon echo measurements. Variation of the laser wavelengths and pulse sequence and the use of spectrally resolved measurements allows us to study the dephasing of the donors and acceptors and the energy relaxation properties for the blue band of GaN.
DNA cleavage activities of two dinuclear copper coordination polymers
Creators: name: Q.R. Cheng
name: F.Q. Zhang
name: H. Zhou
name: Z.Q. Pan
name: G.Y. Liao
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Cancer
subject: Biological Sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Cell Biology
subject: Microbiology
subject: FOS: Biological sciences
subject: Physics
subject: Biochemistry
subject: Biophysics

description: The DNA cleavage activities of two coordination polymers of Robson-type macrocycles, {[Cu4L1(4,4′-bipy)2](ClO4)4·H2O}∞ (1) and {[Cu4L2(4,4′-bipy)4](ClO4)4·2CH3CN·2H2O}∞ (2) (where H2L1 and H2L2 are the [2 + 2] condensation products of 1,3-diaminopropane with 2,6-diformyl-4-methylphenol and 2,6-diformyl-4-fluorophenol, respectively), have been studied. The interactions of the complexes with calf thymus-DNA were investigated by UV–vis spectroscopy, CD spectroscopy, and gel electrophoresis. The binding constants of 1 and 2 are 7.2 × 104 and 2.1 × 105 M−1, respectively. The complexes exhibit DNA cleavage activity, with the cleavage process involving oxidative cleavage of DNA.
From BPEL4WS to OWL-S: Integrating e-business process descriptions
Creators: name: Shen, Jun
name: Yang, Yun
name: Zhu, Chuan
name: Wan, Chengang
Publisher: name: Swinburne
Year: 2024

description: With the rapid deployment of e-services, many workflow-like e-business process definition languages come into existence. At the same time, Ontology Web Language for Services (OWL-S) aims to build an ontology language to support the integration of various specifications. There has been some work on mapping WSDL (Web Services Description Language) to OWL-S to build a connection between the Web service and service profile. However, in the sense of activity relationships, there has been no effort so far trying to build the OWL-S service model from a workflow process model. Therefore, we design and develop an innovative mapping tool to translate BPEL4WS (Business Process Execution Language for Web Services) to OWL-S. Through this mapping, semantics in the traditional business process specifications can be enriched significantly to enable more flexible and automatic e-service functions by using existing OWL-S tools such as composition and discovery, especially the execution of workflow-based services.