bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neutronic Study of Fast Reactor with Modified CANDLE Burnup Scheme Using natural Pb, Pb(nat)-Bi Eutectic,208Pb, and208Pb-Bi Eutectic as Coolant
Authors: Widiawati N , Su’ud Z , Irwanto D , Andris D 
Published: June 2021

AbstractAbout 96% of reactors in the world consume enriched uranium. However, enrichment technology is costly and a sensitive issue related to nuclear non-proliferation. Whereas, without the technology, it is difficult to obtain the optimal benefits from the nuclear reactor. The long-life reactor designs that can consume natural uranium and minimize initial fue l loading are needed. Therefore, the design study of long-life Pb(208)-Bi eutectic cooled reactor with modified CANDLE (Constant Axial shape of Neutron flux, nuclide densities, and power shape During Life of Energy Energy production) burn up scheme has performed. Modified CANDLE burnup scheme can use natural Uranium (without enrichment) as fuel and also can reprocess LWR (Light-Water Reactor) spent fuel. In Modified CANDLE scheme, a reactor core is divided into 10 regions in an axial direction which has the same volume. Region 1 is filled by fresh natural uranium and after 10 years burnup, it is then shifted to region 2. These mechanisms are applied to all the regions. Coolant for LFR (Lead-cooled Fast Reactors) have some requirements such as has low neutron absorption, low melting point, high boiling point and non-reactive with air and water. Pb(208)-Bi eutectic is a promising coolant for LFR due to its properties. The Neutronic calculation was performed by SRAC and FITB.ch1 using JENDL 4.0 as nuclear data library. The Important neutronic parameter such as k-eff is discussed in the present study. Initial k-eff of the reactor using Pb-natural, Pb-Bi, Pb(208), and Pb(208)-Bi as coolant are 0.99973, 1.0020, 1.0089, and 1.0059, respectively.
Fast Neutron Irradiation Influence Analysis in Thermal-Hydraulics Aspect of HTR-10 Reactor Using Modified PEBBLE Program
Authors: Bari Bilal El , Irwanto Dwi 
Published: June 2021

Abstract
Pebble Bed Reactor is a Gen-IV reactor that uses spherical fuel loaded into an active core. This reactor uses graphite that can be found on fuel and reflectors as a neutron moderator. The fast neutron can damage the atomic structure of fuel because the neutron with high energy can displace the graphite lattice. As its effect, the value of fuel thermal conductivity is influenced. PEBBLE is the program used for thermal-hydraulic calculation for pebble bed reactor type (PBR), and mPEBBLE was developed based on PEBBLE. The main difference between the two is that the mPEBBLE can take into account the fast neutron factor in the calculation. In this study, the thermal-hydraulics calculation for HTR-10 was performed using the mPEBBLE code. The result obtained is compared to the results from two different programs; THERMIX and WIMSTER. The comparison between the mPEBBLE and THERMIX has a temperature difference, which is relatively high at 63.3°C at the near-wall position. For the comparison between mPEBBLE and WISMTER, the noticeable difference happens in pebble center temperature, which is 65.3°C for the temperature difference.
Occupational exposure to incidental nanoparticles: a review on control banding
Authors: Sousa M , Arezes P , Silva F 
Published: June 2021

Abstract
As the integration of nanomaterials in our lives evolves, these materials become more noticeable and so do the concerns about the associated risks. Handling engineered nanomaterials (ENM) increases these concerns and has been leading to multiple studies about how to assess the risk of exposure to these materials. In the meanwhile, many workers are not conscious that they are exposed to nanomaterials, since some are unintentionally released in workplaces, during industrial activities, for example. The exact approach to be taken to study this exposure risk is far from being fully established and unanimously accepted. Choosing a quantitative approach can lead to more consistent results, but it requires expert’s knowledge and proper equipment. A qualitative methodology may be less expensive and time consuming. Control Banding (CB) is an example of a qualitative approach, frequently used to manage the risk of exposure to engineered nanomaterials. But while numerous authors and organizations are focused on risk management of ENM, is the exposure to incidental nanomaterials being neglected? If not, how is this being managed? The purpose of this work was to review different CB approaches for occupational risk management of nanomaterials and to highlight its application for the specific case of incidental nanoparticles. Using two databases for the literature review and after some data analysis, the results of this work allowed to clarify the tendency to apply CB methodologies to ENM risk management research and also the opportunity of applying such approach to incidental nanomaterials.
Digital Twins applied to the implementation of Safe-by-Design strategies in nano-processes for the reduction of airborne emission and occupational exposure to nano-forms
Authors: López De Ipiña Jesús M. , Aznar Gabriel , Lopez Alberto , Olite Jorge , Koivisto Joonas , Bartolini Gianni , Costa Anna 
Published: June 2021

Abstract
Digital Twins (DTs) are one of the most promising enabling technologies for the deployment of the factory of the future and the Industry 4.0 framework. DTs could be labelled as an inherently Safe-by-Design (SbD) strategy and can be applied at different stages in the life cycle of a process. The EU-funded project ASINA has the ambition to promote coherent, applicable and scientifically sound SbD nano-practices. In particular, in the field of nanomanufacturing, ASINA intends to deliver innovative SbD solutions applied to process (P-SbD). In this context, ASINA will investigate the use of DTs as a disruptive digital technology for the prevention, prediction and control of nano-forms airborne emission and worker exposure. This paper introduces the concept of DT in the field of nano-processes SbD and outlines the preliminary architecture of ASINA-DT, that will be developed and implemented by ASINA in one industrial scenario.
Test of low radioactive molecular sieves for radon filtration in SF6
gas-based rare-event physics experiments
Authors: Marcelo Gregorio R.R. , Spooner N.J.C. , Berry J. , Ezeribe A.C. , Miuchi K. , Ogawa H. , Scarff A. 
Published: June 2021

Abstract
Type 5 Å molecular sieves (MS) have been demonstrated to remove radon from SF6 gas. This is important for ultra-sensitive SF6 gas-based directional dark matter and related rare-event physics experiments, as radon can provide a source of unwanted background events. Unfortunately, commercially available sieves intrinsically emanate radon at levels not suitable for ultra-sensitive physics experiments. A method to produce a low radioactive MS has been developed in Nihon University (NU). In this work, we explore the feasibility of the NU-developed 5 Å type MS for use in such experiments. A comparison with a commercially available Sigma-Aldrich 5 Å type MS was made. The comparison was done by calculating a parameter indicating the amount of radon intrinsically emanated by the MS per unit radon captured from SF6 gas. The measurements were made using a specially adapted DURRIDGE RAD7 radon detector. The NU-developed 5 Å MS emanated radon up to 61 ± 9% less per radon captured (2.1 ± 0.1) × 10−3, compared to the commercial Sigma-Aldrich MS (5.4 ± 0.4) × 10−3, making it a better candidate for use in a radon filtration setup for future ultra-sensitive SF6 gas based experiments.
Air equivalence of some solid fluoropolymers in photon beams
Authors: Habrman P. 
Published: June 2021

Abstract
Two fluoropolymers polyvinylidene fluoride (PVDF) and ethylene tetrafluoroethylene (ETFE), which differ only in chemical structure and have the same atomic composition, were evaluated for use in air simulation for phantom measurements in photon beams. Photon interaction was modelled using US-NIST datasets. In order to mimic the radiation properties of air with another material, values of the following quantities were chosen for comparison: total mass attenuation coefficients, mass-energy absorption coefficients, total electron mass stopping powers, mass collision stopping powers, and mass scattering powers. The calculated ratios of the corresponding coefficients or stopping powers between the material and air were the values of interest. The results for fluoropolymers were compared with other polymers commonly used in the manufacture of phantoms. The results show that in the photon energy range from 150 keV to 1 GeV both fluoropolymers exhibit excellent dosimetric properties slightly better than air equivalent plastic C552. The effect of a carbon-based filler added to the fluoropolymer to ensure the electrical conductivity of the resulting composite was also investigated. It has been found that the increased carbon-based filler content (up to 20 wt% of carbon) added to the fluoropolymer has a very small effect on the radiation properties of the composite.
Effects of salinity and light conditions on the survival of brown seaweed Sargassum ilicifolium (Turner) C. Agardh during early development
Authors: De Cruz A R E , De Cruz A E , Evangelio J C , Montes H R 
Published: June 2021

Abstract
The present study was carried out to investigate the survival of Sargassum ilicifolium from zygote to germling under laboratory conditions. Zygotes were cultured at 3 different salinity conditions (30-35 PSU, 20-25 PSU, and 10-15 PSU) and under the illumination of 3 various light sources (natural, fluorescent, and LED lights) with varying intensities. Results showed that S. ilicifolium germlings have a relatively higher tolerance to lower salinities that ranged from 10 to 30 PSU, and optimal growth in salinity ranges from 30– 35 PSU. There was no significant effect of the light source on this species’ zygote survival and germination. Fluorescent lighting effectively obtained high survival and germination rates of zygotes and driving the development of morphologically normal germlings compared to LED lighting. This study also demonstrated the potential of using zygote-derived germlings as a source of nursery seedlings. Therefore, salinity and light conditions were important variables affecting the survival, germination, and growth of S. ilicifolium, which are valuable data in developing streamlined practices for aquaculture production and management.
3D Strata Visualization in Web Environment – Review
Authors: Hanafi Faraliyana Mohd , Hassan Muhammad Imzan 
Published: June 2021

Abstract
Nowadays, rapid population growth has caused a high demand of land and stratified property especially in urban areas (big city). In cadastral system, visualization is considered as a tool for reflecting the real world which is commonly drawn in 2-Dimensional (2D) based plan. However, it only works efficiently for land parcel but not in representing strata property (high rise building). The complexity and overlapping boundaries also need to be considered in portraying 3-Dimensional (3D) model which cannot be achieved using only 2D plan. On top of that, the need of providing a 3D visualization platform has been recognised by many researchers worldwide. There have been numbers of 3D Cadastral system prototype being developed for different country such as Australia, Russia and Indonesia. 3D visualization helps enhanced communication between users, improve decision making, and helps to manage and facilitate land information system. This paper therefore seeks to analyse the problems related to the visualisation for the application of strata and the current approach of 3D visualisation. It is carried out by investigating different techniques and methods used in visualising 3D objects. The outcome of this paper would be the solutions in finding suitable visualization tools to be developed via Web-based visualization applications which are common with end users and easily accessible due to advancements in technology.
Fault Diagnosis and Prediction of Rolling Bearings Based on Deep Learning
Authors: Li Xing 
Published: June 2021

Abstract
In this paper, the rolling bearing is taken as the research object, and the deep learning method is applied to the diagnosis, identification and prediction of bearing state. The main models of deep learning and its application in rolling bearing fault diagnosis are analyzed, and some challenges and feasible solutions of deep learning in rolling bearing fault diagnosis are pointed out. In this paper, a fault diagnosis algorithm based on convolutional neural network in deep learning is proposed, and the original vibration data is used as the input of the network model to train it to exert its powerful self-learning ability. Compared with the traditional fault diagnosis method, the multi-layer network structure of the proposed method ensures its higher diagnosis accuracy; compared with the general bearing fault diagnosis method based on multi-feature extraction, the proposed method is simpler and more effective in extracting the features that can represent the health status of rolling bearings.
Study on Effect of Rock Interface on Hydraulic Fracture in W9 Offshore Gas Field
Authors: Xiaojin Wan , Ruohan Hu , Siyu Xie , Hui Yuan , Qaingui Zhang , Jin Zhao 
Published: June 2021

Abstract
In-situ principal stresses in ZH formation of W9 offshore gas field are measured by Kaiser effect method, and the horizontal minimum stress profile is interpreted by logging information. Static Young’s modulus and Poisson’s ratio of rock are measured by tri-axial loading experimental system, and cohesion and internal friction angle of rock are calculated by empirical formula based on logging data. Failure mode discrimination equation of hydraulic fracture at the rock interface is established applying stress analysis of hydraulic fracture tips at rock interface combined with tensile failure criterion and shear failure criterion. In-situ stresses and strength parameters in ZH formation are used to calculate and analyze the control effect of interface on hydraulic fracture propagation. The calculation results show it is necessary to control fracture height growth in ZH formation of W9 offshore gas field, which is of great significance on guiding the optimization of fracturing parameters in this field.
Investigation on Catalytic N2O Conversion to NO for Potential Nitric Acid Production from Industrial Waste Gas
Authors: Zhang Yuanyang , Feng Yaoyu 
Published: June 2021

AbstractIt is well known that N2O has a very significant impact on the greenhouse effect. Although N2O is not the major contributor to the global warming, while it could stay in atmosphere for about 150 years, and its global warming potential (GWP) is about 2.5 and 310 times as that of CH4and CO2, respectively. The main source of N2O emission from chemical industries is originated from the process of adipic/nitric acid production. The emission of N2O due to adipic acid production in China is about 0.48∼0.72 million tons per year based on the mass ratio between N2O emission and adipic acid production, which is equivalent to 150∼250 million tons CO2emission. However, there are few reports on economically reusing N2O from flue gas by direct oxidation method. Therefore, a series of catalysts applied on catalytic N2O conversion to NO for potential production of nitric acid from flue gas have been prepared by co-precipitation method. The basic property of catalysts was characterized by BET, laser particle size analyzer, FT-IR, TG/DTA, and CO2-TPD, etc. The catalyst’s performance was evaluated in a fixed-bed reactor with mixture of 40%(v)N2O+40%(v)N2+20%(v)O2under 3000 h−1space velocity and 0.1MPa system pressure. Results showed that catalysts of Pt/Cu-Zn-O and Pt/Zr-Zn-O have good selectivity on NO production, which was about 10% and 15%, respectively, in the temperature range from 550°C to 650°C. The basic experimental results show that it is a promising method to be applied for N2O reuse in adipic acid production and nitric acid industries and also provide the basis for further relative theoretical and experimental studies.
Evaluation of Carrying Capacity on Water Resources Based on Improved Water Footprint Method
Authors: Kong Xiangming , Wang Donglin , Zhao Jing , Wang Chunxiao , Cheng Rong 
Published: June 2021

Abstract
A water footprint based principal component analysis method (WFPCA) has been proposed for evaluation of carrying capacity on water resources. The evaluation indexes can be defined based on the water footprint theory. Then the comprehensive evaluation value of water resources carrying capacity can be generated by the method of principal component analysis. The developed WFPCA method has been applied in the case study in Tongliao City, China. The results show that the indexes defined based on the water footprint theory can reflect the interactions between human being activities and water resources systems. The readjustment of water utilization structure affects the practical water use and the virtual water footprint in Tongliao City. The comparison of comprehensive evaluation values from 2010 to 2019 indicates that the water resources carrying capacity in Tongliao City continues to increase, which is benefited from the reasonable planning of water resources systems and the effective management of environment systems.
Direct and indirect effects of high temperatures on fledging in a cooperatively breeding bird
Authors: Bourne Amanda R , Ridley Amanda R , Spottiswoode Claire N , Cunningham Susan J 
Published: June 2021

Abstract
High temperatures and low rainfall consistently constrain reproduction in arid-zone bird species. Understanding the mechanisms underlying this pattern is critical for predicting how climate change will influence population persistence and to inform conservation and management. In this study, we analyzed Southern Pied Babbler Turdoides bicolor nestling survival, daily growth rate and adult investment behavior during the nestling period over three austral summer breeding seasons. High temperatures were associated with lower body mass, shorter tarsi, and reduced daily growth rates of nestlings. Our piecewise structural equation models suggested that direct impacts of temperature had the strongest influence on nestling size and daily growth rates for both 5-day-old and 11-day-old nestlings, followed by temperature-related adjustments to provisioning rates by adults. Rainfall and group size influenced the behavior of provisioning adults but did not influence nestling growth or survival. Adjustments to adult provisioning strategies did not compensate for direct negative effects of high air temperatures on nestling size or daily growth rates. Detailed mechanistic data like these allow us to model the pathways by which high temperature causes nest failure. In turn, this could allow us to design targeted conservation action to effectively mitigate climate effects.
In silico model for miRNA-mediated regulatory network in cancer
Authors: Ahmed Khandakar Tanvir , Sun Jiao , Chen William , Martinez Irene , Cheng Sze , Zhang Wencai , Yong Jeongsik , Zhang Wei 
Published: June 2021

Abstract
Deregulation of gene expression is associated with the pathogenesis of numerous human diseases including cancer. Current data analyses on gene expression are mostly focused on differential gene/transcript expression in big data-driven studies. However, a poor connection to the proteome changes is a widespread problem in current data analyses. This is partly due to the complexity of gene regulatory pathways at the post-transcriptional level. In this study, we overcome these limitations and introduce a graph-based learning model, PTNet, which simulates the microRNAs (miRNAs) that regulate gene expression post-transcriptionally in silico. Our model does not require large-scale proteomics studies to measure the protein expression and can successfully predict the protein levels by considering the miRNA–mRNA interaction network, the mRNA expression, and the miRNA expression. Large-scale experiments on simulations and real cancer high-throughput datasets using PTNet validated that (i) the miRNA-mediated interaction network affects the abundance of corresponding proteins and (ii) the predicted protein expression has a higher correlation with the proteomics data (ground-truth) than the mRNA expression data. The classification performance also shows that the predicted protein expression has an improved prediction power on cancer outcomes compared to the prediction done by the mRNA expression data only or considering both mRNA and miRNA. Availability: PTNet toolbox is available at http://github.com/CompbioLabUCF/PTNet
fastsimcoal2: demographic inference under complex evolutionary scenarios
Authors: Excoffier Laurent , Marchi Nina , Marques David Alexander , Matthey-Doret Remi , Gouy Alexandre , Sousa Vitor C 
Published: June 2021

Abstract

Motivation
fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic simulation program, by enabling the estimation of demographic parameters under very complex scenarios from the site frequency spectrum under a maximum-likelihood framework.

Results
Other improvements include multi-threading, handling of population inbreeding, extended input file syntax facilitating the description of complex demographic scenarios, and more efficient simulations of sparsely structured populations and of large chromosomes.

Availability and implementation
fastsimcoal2 is freely available on http://cmpg.unibe.ch/software/fastsimcoal2/. It includes console versions for Linux, Windows and MacOS, additional scripts for the analysis and visualization of simulated and estimated scenarios, as well as a detailed documentation and ready-to-use examples.
Poor Antibody Response After Two Doses of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Vaccine in Transplant Recipients
Authors: Mazzola Alessandra , Todesco Eve , Drouin Sarah , Hazan Fanny , Marot Stéphane , Thabut Dominique , Varnous Shaida , Soulié Cathia , Barrou Benoît , Marcelin Anne-Geneviève , Conti Filomena 
Published: June 2021

Abstract
A low anti-spike antibody response of 28.6% was observed 28 days after BNT162b2 vaccine second dose among 133 solid organ transplant recipients without previous coronavirus disease 2019 (COVID-19). No serious adverse events were recorded. Four severe COVID-19 cases were reported between or after the 2 doses. Our data suggest to change the vaccine strategy.
Hooked on heart regeneration: the zebrafish guide to recovery
Authors: Ross Stewart Katherine M , Walker Sophie L , Baker Andrew H , Riley Paul R , Brittan Mairi 
Published: June 2021

AbstractWhile humans lack sufficient capacity to undergo cardiac regeneration following injury, zebrafish can fully recover from a range of cardiac insults. Over the past two decades, our understanding of the complexities of both the independent and co-ordinated injury responses by multiple cardiac tissues during zebrafish heart regeneration has increased exponentially. Although cardiomyocyte regeneration forms the cornerstone of the reparative process in the injured zebrafish heart, recent studies have shown that this is dependent on prior neovascularization and lymphangiogenesis, which in turn require epicardial, endocardial, and inflammatory cell signalling within an extracellular milieu that is optimized for regeneration. Indeed, it is the amalgamation of multiple regenerative systems and gene regulatory patterns that drives the much-heralded success of the adult zebrafish response to cardiac injury. Increasing evidence supports the emerging paradigm that developmental transcriptional programmes are re-activated during adult tissue regeneration, including in the heart, and the zebrafish represents an optimal model organism to explore this concept. In this review, we summarize recent advances from the zebrafish cardiovascular research community with novel insight into the mechanisms associated with endogenous cardiovascular repair and regeneration, which may be of benefit to inform future strategies for patients with cardiovascular disease.