bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flexible electromagnetic capturer with a rapid ejection feature inspired by a biological ballistic tongue
Authors: Kan Longxin , Lei Fengxiao , Song Bo , Su Bin , Shi Yusheng 
Published: July 2020

Abstract
Bionics is the inspiration resource of state-of-the-art science and technology. The chameleon can capture prey at great distances with the assistance of its highly stretchable and ballistic tongue. Inspired by this biological structure, here we demonstrate the fabrication of flexible electromagnetic manipulators. The as-prepared flexible electromagnetic manipulator can reach a maximum velocity of 8.1 m s−1 and acceleration of 627 m s−2 at an applied voltage of 360 V. The working mechanism of this flexible electromagnetic manipulator has been studied based on Maxwell and Abaqus simulations. Diverse parameters, including the lengths of the magnetic tube (the cylindrical magnet) and the whole manipulator and the applied voltage values, have been considered to tune the ejecting performance of the manipulator. Furthermore, flexible electromagnetic manipulators can be upgraded to capture various objects by attaching a mechanical force triggered gripper to their top pads. With this design, the velocity of the gripper can be significantly improved (the maximum is 8.1 m s−1, whereas soft grippers in previous research do not have the characteristic of fast movement), thus making it possible to get objects without approaching them; in other words, we can catch objects even though they are far away from us, which provides the possibility of long-distance capture. We believe this kind of bio-inspired fabrication is a powerful strategy to design and synthesize flexible even stretchable manipulators, extending the boundaries of conventional manipulators for soft robots.
Climate risks to Brazilian coffee production
Authors: Koh Ilyun , Garrett Rachael , Janetos Anthony , Mueller Nathaniel D 
Published: July 2020

Abstract
Brazil is the world’s leading coffee exporter, contributing billions of dollars to the global food economy. Yet, a majority of Brazilian coffee farms are operated by ‘smallholders’, producers with relatively small properties and primarily reliant on family labor. While previous work indicates that climate change will decrease the area suitable for coffee production in Brazil, no study has assessed the impacts of climate change on coffee yields or the relative exposure and vulnerability of coffee producing regions to changes in climate hazards (climate-associated losses in yield). To address these knowledge gaps, we assess the sensitivity of coffee yields to temperature and precipitation variation from 1974 to 2017 to map coffee climate hazards. Next, we identify which coffee producing regions in Brazil have the highest exposure to climate hazards due to high dependence of coffee production as a proportion of agricultural area. Finally, we generate a Vulnerability Index to identify which regions are theoretically least able to adapt to climate hazards. Our study finds that since 1974, temperatures in Brazilian coffee growing municipalities have been increasing by ∼0.25 °C per decade and annual precipitation has been decreasing during the blooming and ripening periods. This historical climate change has already resulted in reductions in coffee yield by more than 20% in the Southeast of Brazil. Minas Gerais, the largest coffee producing state in Brazil, has among the highest climate hazard and overall climate risk, exacerbated by ongoing coffee expansion. Additionally, many municipalities with the lowest adaptive capacity, including the country’s mountainous regions, also have high climate exposure and hazards. Negative climate hazard and exposure impacts for coffee producing regions could be potentially offset by targeting climate adaptation support to these high-risk regions, including research, extension, and credit subsidies for improved coffee varieties, irrigation, and agroforestry and diversifying agricultural production.
Potential impacts of cool and green roofs on temperature-related mortality in the Greater Boston region
Authors: He Cheng , He Li , Zhang Yan , Kinney Patrick L , Ma Weichun 
Published: July 2020

Abstract
Many cities are developing mitigation plans in an effort to reduce the population health impacts from expected future increases in the frequency and intensity of heat waves. To inform heat mitigation and adaptation planning, information is needed on the extent to which available mitigation strategies, such as reflective and green roofs, could result in significant reductions in heat exposure. Using the Weather Research and Forecasting (WRF) model, we analysed the impact of green and cool (reflective) roofs on the urban heat island (UHI) and temperature-related deaths in the Greater Boston area (GBA) and New England area (NEA) in summer and winter. In the GBA, green and cool roofs reduced summertime population-weighted temperature by 0.35 °C and 0.40 °C, respectively. In winter, green roofs did not affect temperature, whereas cool roofs caused a temperature reduction of 0.40 °C. In the NEA, the cooler summers induced by green and cool roofs were estimated to reduce the heat-related mortality rates by 0.21% and 0.17%, respectively, compared to baseline. Cool-roof-induced temperature reduction in winter could increase the cold-related mortality rate by 0.096% compared to baseline. These results suggest that both green and cool roofing strategies have the potential to reduce the impact of heat on premature deaths. Additionally, the differing effects in winter suggest the need for a careful consideration of health trade-offs in choosing heat island mitigation strategies.
Fractional Brownian motion with random diffusivity: emerging residual nonergodicity below the correlation time
Authors: Wang Wei , Cherstvy Andrey G , Chechkin Aleksei V , Thapa Samudrajit , Seno Flavio , Liu Xianbin , Metzler Ralf 
Published: July 2020

Abstract
Numerous examples for a priori unexpected non-Gaussian behaviour for normal and anomalous diffusion have recently been reported in single-particle tracking experiments. Here, we address the case of non-Gaussian anomalous diffusion in terms of a random-diffusivity mechanism in the presence of power-law correlated fractional Gaussian noise. We study the ergodic properties of this model via examining the ensemble- and time-averaged mean-squared displacements as well as the ergodicity breaking parameter EB quantifying the trajectory-to-trajectory fluctuations of the latter. For long measurement times, interesting crossover behaviour is found as function of the correlation time τ characterising the diffusivity dynamics. We unveil that at short lag times the EB parameter reaches a universal plateau. The corresponding residual value of EB is shown to depend only on τ and the trajectory length. The EB parameter at long lag times, however, follows the same power-law scaling as for fractional Brownian motion. We also determine a corresponding plateau at short lag times for the discrete representation of fractional Brownian motion, absent in the continuous-time formulation. These analytical predictions are in excellent agreement with results of computer simulations of the underlying stochastic processes. Our findings can help distinguishing and categorising certain nonergodic and non-Gaussian features of particle displacements, as observed in recent single-particle tracking experiments.
Refined diamond norm bounds on the emergence of objectivity of observables
Authors: Colafranceschi Eugenia , Lami Ludovico , Adesso Gerardo , Tufarelli Tommaso 
Published: July 2020

Abstract
The theory of quantum Darwinism aims to explain how our objective classical reality arises from the quantum world, by analysing the distribution of information about a quantum system that is accessible to multiple observers, who probe the system by intercepting fragments of its environment. Previous work showed that, when the number of environmental fragments grows, the quantum channels modelling the information flow from system to observers become arbitrarily close—in terms of diamond norm distance—to ‘measure-and-prepare’ channels, ensuring objectivity of observables; the convergence is formalised by an upper bound on the diamond norm distance, which decreases with increasing number of fragments. Here, we derive tighter diamond norm bounds on the emergence of objectivity of observables for quantum systems of infinite dimension, providing an approach which can bridge between the finite- and the infinite-dimensional cases. Furthermore, we probe the tightness of our bounds by considering a specific model of a system-environment dynamics given by a pure loss channel. Finally, we generalise to infinite dimensions a result obtained by Brandão et al (2015 Nat. Commun.
6 7908), which provides an operational characterisation of quantum discord in terms of one-sided redistribution of correlations to many parties. Our results provide a unifying framework to benchmark quantitatively the rise of objectivity in the quantum-to-classical transition.
OGC Geospatial Coverages Data Cube Community Practice
Authors: Voidrot Marie-Francoise , Percivall George 
Published: July 2020

Abstract
Data Cubes for geospatial information provide the means to integrate observations and other types of geospatial data for use in multiple applications through simplified access and efficient analytics. Acknowledging that diverse implementations already exist, this Community Best Practice, developed by the OGC members and supported by at least 6 independent implementations listed in the document, defines requirements for a core Geospatial Coverage Data Cube infrastructure and guidelines for enhancements and extensions to the basic core. With this paper and other activities, OGC is contributing to the advancement of Data Cubes more generally and as a foundation for federations of Data Cubes for geospatial information.
Heat Evolution of Class C Fly Ash Geopolymers with Different Molarity of Sodium Hydroxide: Nucleation Growth and Morphology Properties towards Early Strength Evaluation
Authors: Mohamed Rosnita , Abd Razak Rafiza , Mustafa Al Bakri Abdullah Mohd , Khimi Shuib Raa , Subaer  , Ahmad Romisuhani , Hakem Aziz Ikmal , Ahmad Sofri Liyana 
Published: July 2020

Abstract
The heat evolved during setting of class C fly ash geopolymers with different molarity of sodium hydroxide are discussed. The reaction kinetics and microstructure properties of geopolymers are studied towards the early strength development. Differential Scanning Calorimeter was applied to determine the heat evolved and Johnson-Mehl-Avrami-Kolmogrov Model was used to analyse the reaction kinetics during setting of the geopolymers. Morphology and strength development were monitored. The results revealed that the heat evolved increased proportionally with increasing molarity of sodium hydroxide. This indicated rapid reaction of geopolymerization due to the increasing of hydroxide ion content thus mainly affect dissolution process. It was also found that the geopolymerization during setting was governed by one-dimensional growth with instantaneous heterogeneous nucleation and this was supported by the morphology of the geopolymers observed. Among the activator molarities, the molarity of 12 (12M) was observed to be most influential based on its highest compressive strength (up to 46MPa at 7-days) and supported by the morphology properties results.
Correlation of Thermal Conductivity Versus Bulk Density, Porosity and Compressive Strength of Metakaolin Geopolymer
Authors: Ain Jaya Nur , Yun-Ming Liew , Cheng-Yong Heah , Mustafa Al Bakri Abdullah Mohd 
Published: July 2020

Abstract
This paper investigates the correlation of thermal conductivity versus bulk density, porosity and compressive strength of metakaolin geopolymer for different mixing parameters (that are, alkali concentration, activator (AA) ratio and metakaolin/activator (MK/AA) ratio). Metakaolin was alkali-activated with NaOH and Na2SiO3 solution to produce geopolymer. Varying NaOH concentration (6M, 8M, 10M, 12 M and 14M), AA ratio (0.4, 0.6, 0.8, 1.0 and 1.2) and MK/AA ratio (0.6, 0.7, 0.8, 0.9 and 1.0) were used to study the effect on bulk density, porosity, compressive strength and thermal conductivity. Result showed that metakaolin geopolymer with maximum compressive strength (33 MPa), bulk density of 1680 kg/m3, porosity of 18% and thermal conductivity of 0.40 W/mK is achieved with alkali concentration of 10M, AA ratio of 1.0 and MK/AA ratio of 0.8. From the gradation analysis of the strength result, AA ratio is the most influential mixing parameter in determining the compressive strength. In contrast, MK/AA ratio significantly affected the thermal conductivity. From the Pearson correlation coefficient, TC had strong relationship with bulk density and porosity and poor relationship with compressive strength.
Indoor Environment Quality (IEQ): Temperature and Indoor Air Quality (IAQ) Factors toward Occupants Satisfaction
Authors: Nur Aishah Mohd Noor Siti , Ding Ha Haw 
Published: July 2020

Abstract
In Malaysia, the demand for green building kept rising from year to year. The design concept of the green building which provides better indoor environment to make occupant more comfortable and healthier. The Green Building Index (GBI) as a rating system in Malaysia was used to evaluate the environmental design and performance of a building by the occupant, due to that, it is used for this research to investigate the relationship between the indicator of the Indoor Environment Quality (IEQ) and occupant satisfaction’s element in a private university in Sarawak. The building occupants are the most important feedback to determine the occupant’s satisfaction level for IEQ within the campus. A quantitative method was applied to reach the objectives by using simple random sampling. A total of 254 copies of the questionnaire survey form were distributed to respondents at School of Business and Management (SBM) and School of Built Environment (SBE) in the university. However, there are only 238 responds are usable for this research. The result shows that the temperature (57.0%) and the indoor air quality (66.7) in IEQ’s indicator had moderate positive and significant relationship with thermal comfort, and ventilation respectively.
The Effect of Seawater on The Strength, Microstructure and Elemental Distribution of Fly Ash/ Kaolin Based Underwater Geopolymer
Authors: Hannanee Ahmad Zaidi Fakhryna , Ahmad Romisuhani , Mustafa Al Bakri Abdullah Mohd , Mastura Wan , Syauqi Ahmad 
Published: July 2020

Abstract
Concrete in seawater is subjected to various aggressive constituents in seawater commonly sulphate, chloride and carbonate. This paper investigates the potential effects towards mechanical and physical properties of geopolymer when used as underwater concreting material. Besides identifying the microstructure using Scanning Electron Microscopy (SEM), the sample is also characterized using Synchrotron based micro X-Ray Fluorescence (µ-XRF) to identify the elemental distribution that had occurred in the underwater geopolymer. Other essential properties for concrete such as compressive strength, water absorption and density were also determined. The compressive strength result indicates a slightly lower strength for underwater geopolymer (31.40 MPa) compared to normal geopolymer (35.91 MPa). Relevant to the strength, the water absorption and density also shows a slight difference between the geopolymer samples. The µ-XRF analysis shows the presence of chlorine (Cl) element only for underwater geopolymer which indicates that the are chloride penetration for underwater geopolymer. Additionally, other element distribution such as Silica (Si), Aluminum (Al) and Calcium (Ca) shows a different value when comparing normal geopolymer and underwater geopolymer. Despite the difference in elemental distribution between sample, geopolymer is proven to have the potential to be used as underwater material since it is able to retain at least 70% strength of the control sample.
Energy Priority Estimation Model for Quantitative Analysis of Potential Bioethanol Feedstock
Authors: Ye Ong Sin , Ilham Zul 
Published: July 2020

Abstract
Conventional energy sources depletion, energy insecurity, fluctuating petroleum prices and global climate change have driven countries worldwide to consider alternative and renewable energy options. The use of biofuel such as bioethanol is as an option over conventional petroleum and important for the development of sustainable and eco-friendly energy resources. However, bioethanol manufactured from various biomass resources is different in terms of its processing stages and the need for extra pre-treatments. This study aims to suggest the most feasible biomass resource for bioethanol generation by using Analytical Hierarchy Process (AHP), one of the multi-criteria decision-making methods based on priority estimation model. Among biomass resources, the issue of selecting the most feasible resource is evaluated, using numerous criteria influencing the biomass selection which are chosen through Focus Group Discussion (FGD) with experts in the biomass research field. Out of the five selected biomass resources, sugarcane is preferable as a bioethanol feedstock with an overall priority of 31.69%, followed by palm oil residues (overall priority= 23.51%), compared to corn (overall priority= 22.59%), rice straws (overall priority= 13.53%) and sugar beet (overall priority= 8.67%). Sugarcane is claimed to be the most feasible bioethanol feedstock due to its high availability over years, high energy ratio, high cellulose and hemicellulose content. Although sugarcane takes a longer time to grow, it is easier to be planted and harvested with the help of developed machineries. However, an ideal bioethanol-producing feedstock should not be food crops. Thus, as a suggestion for future research, more factors to determine the potential and suitability of the crops should be considered.
Removal of Organic Constituents and Bacteria Count Disinfection from Fish Processing Wastewater by Using Ionic Cupric Copper
Authors: Nasuha Nadhirah Nurul , Anuar Kamaruddin Mohamad , Nazmi Ismail Muhd 
Published: July 2020

Abstract
The increasing consumption of fisheries product causes large amount of wastewater produced from fish processing industry. General wastewater treatment includes the use of harmful chemical such as chlorine. This research opens a new platform to treat wastewater by using ionic cupric copper which is also known as copper nanoparticles (CuNP). Copper nanoparticles are synthesized through chemical reduction method by using Copper sulphate pentahydrate (CuSO4.5H2O) as precursor and Sodium hydroxide (NaOH) as reducing agent. The physical characterizations of CuNP are carried out by using SEM and the chemical characterizations are carried out by using XRD and FTIR. The efficiency of CuNP to treat wastewater from fish processing industry are determined by the removal of COD, Total coliform and E.Coli. The optimum concentration to reduce COD is 1000mg/L which causes 59.4% percentage removal of COD. The optimum concentration for COD removal is used to determine the volume of CuNP needed to remove total coliform and E.Coli. The optimum volume for removal of total coliform and E.Coli are 40µL and 30 µL respectively.
Metal Additives Influence in the Storing Stability Degradation of Biodiesel
Authors: Fazli Bin Mohd Ghazali Ahmad , Hadi Abdul 
Published: July 2020

Abstract
Recently, biodiesel is used as an alternative fuel to reduce the air pollution. However, storage stability comes as it reduces the biodiesel properties after it been stored for a long period. This study was conducted to investigate the effect of storage duration on the stability degradation of biodiesel and the influence of metal additives nanoparticles blend to retard the deterioration of biodiesel. Biodiesel was synthesized using transesterification of waste cooking oil Gas Chromatography was performed to characterized the elements of biodiesel. Silver, manganese and iron nanoparticles were synthesized following sol-gel method. Nanoparticles were blended with biodiesel in concentration of 100 and 500 ppm using the ultrasonicator bath. Storage stability observation was performed according to ASTM4625 method which is 43 °C for one week. Gas Chromatography peaks shows similar components as standard biodiesel such as methyl palmitate, methyl stearate and methyl linoleate. Density and acid value were sis results proved that nanoparticles can help to retard the stability degradation of biodiesel.
Accelerates High Temperature Oxidation due to the Change of Schottky’s Barrier Height of Cr2O3 Layer in Humid Condition
Authors: Ani M. H. , Zaharudin M. Z. , Anhar Z. , Musa M. , Hamid M. 
Published: July 2020

Abstract
Development of the new generation of Ultra Supercritical (USC) power plant that has successfully achieved the targeted working temperature of 970 K. Nonetheless, increasing the operating temperature will further accelerate the high temperature oxidation of ferritic alloys of the boiler. Furthermore, water vapour in humid environment will make it easier for the alloy to further oxidize at high temperature. It is hypothesized that water vapour provides hydrogen that dissolves into the ferritic alloy susbstrate, hence altering their electronic state at the metal-semiconductor (oxide) interface. This study aims to measure Schottky Barrier Height (SBH) in dry and wet environment and relates it with acclerated oxidation behaviour. The Schottky Barrier was prepared by sputtering Cr2O3 onto the T91 boiler tube in high vacuum condition of 0.4 Pa, RF power 150W for an hour. The existance of Cr2O3 / Fe junction was confirmed by XRD analysis. The junction was then connected with platinum wire to act as the electrode for the current-voltage, I-V and capacitance-voltage, C-V test at high temperature. From the I-V graph, the reversed saturated current, Io was estimated and the SBH was calculated from the results. The SBH increased as the conductivity increased with the increment of temperature. From the C-V plots the value of Vbi was determined and used to calculate the SBH. The SBH increased with the increased of built in voltage. The result obtained from the two method agrees with one another. SBH value in wet condition is higher than that in dry condition. This is explained by the formation of space charge layer at metal/oxide interface due to dissolved hydrogen in metal, thus may change the transport property and accelerate the oxidation rate in water vapor.
A Study on Torrefaction of Empty Fruit Bunch and Its Impact on Lignocellulosic Structure
Authors: Rashid S.R.M , Samad N.A.F.A , Saleh S. 
Published: July 2020

Abstract
Torrefaction is a thermal treatment process used for upgrading lignocellulosic biomass properties into a promising renewable energy, which is performed under inert condition at a temperature range of 200 - 300°C between 15 – 60 minutes residence times. The aim of this study was to investigate the effect of torrefaction treatment on chemical composition and energy properties at different temperature 240, 270, 300 and 330°C with different residence time at 15, 30 and 60 minutes for oil palm biomass (empty fruit bunch). The analysis demonstrated an increase degradation of biomass hence an increase of mass loss was observed due to the combined effect of temperature and treatment duration. Higher heating values was increased by 55% which attributes the energy generations from the torrefied materials. Hemicellulose and cellulose content degraded as temperature and treatment duration increased, while lignin content increased due to the decomposition of hemicellulose and cellulose which accumulated the lignin content in the torrefied biomass. This study proves that torrefied biomass can be used as biofuel as it has higher heating value, and improved the chemical and physical properties of biomass.