bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of chondritic krypton and xenon in Yellowstone gases and the timing of terrestrial volatile accretion
Authors: Broadley Michael W. , Barry Peter H. , Bekaert David V. , Byrne David J. , Caracausi Antonio , Ballentine Christopher J. , Marty Bernard 
Published: June 2020

Significance
Volatile elements play a critical role in the evolution of Earth. Nevertheless, the mechanism(s) by which Earth acquired, and was able to preserve its volatile budget throughout its violent accretionary history, remains uncertain. In this study, we analyzed noble gas isotopes in volcanic gases from the Yellowstone mantle plume, thought to sample the deep primordial mantle, to determine the origin of volatiles on Earth. We find that Kr and Xe isotopes within the deep mantle have a similar chondritic origin to those found previously in the upper mantle. This suggests that the Earth has retained chondritic volatiles throughout the accretion and, therefore, terrestrial volatiles cannot not solely be the result of late additions following the Moon-forming impact.
Encrypt me! A game-based approach to Bell inequalities and quantum cryptography
Authors: López-Incera Andrea , Hartmann Andreas , Dür Wolfgang 
Published: June 2020

Abstract
Recent progress in the development of quantum technologies, most notably in the context of quantum computing and cryptography, poses the question of whether and how to teach the modern and sophisticated underlying theory of quantum physics, and its applications, at school. To this end, we present a game-based approach to teach Bell inequalities and quantum cryptography at undergraduate level. The approach is based on kinesthetic activities and allows students to experience and discover quantum features and their applications first-hand. The students obtain the same results as if they were in a real laboratory performing sophisticated experiments such as Bell tests, without requiring expensive tools and facilities. Specifically, quantum states are represented by the orientation of students, who also play the role of quantum particles, and mimic quantitative random behaviour and measurements using dice and apps.
Multiple interference components in a fiber Mach–Zehnder interferometer sensor and their influence on wavelength shift tracing
Authors: Zong Shuyao , Wen Xiaoyan , Li Min , Lv Haifei 
Published: June 2020

Abstract
In this paper, multiple interference components in a fiber Mach–Zehnder interferometer sensor and their influence on wavelength shift tracing were studied, based on which a frequency filtering method followed by inverse Fourier transform was proposed to improve the sensor’s response accuracy. Firstly, multiple interference components in the transmission spectrum of a fiber MMF-SMF-MMF structure were simulated, and environmental response discrepancy in different components was calculated. Then, Fourier transform was performed on the transmission spectrum followed by frequency filtering to pick out the dominant interference component. An inverse Fourier transform was then carried out to obtain the wavelength shift which was undisturbed by minor interference components. The method was demonstrated by temperature and ambient refractive index (RI) calibration experiments as well as verification tests. The deviation between temperature sensitivity obtained with and without frequency filtering was 39%. The verification test at 80 °C was carried out and the measurement error was three times lower due to frequency filtering. For RI sensing, the deviation between sensitivity obtained with and without filtering was 19%. Measurement errors at 1.3706 of RI were seven times decreased after frequency filtering. Due to its simplicity and efficiency, the proposed method is believed to have extensive application prospects in sensing fields, especially when high-precision temperature and RI sensing are desired.
Collisional effects on the electrostatic shock dynamics in thin-foil targets driven by an ultraintense short pulse laser
Authors: Sundström A , Gremillet L , Siminos E , Pusztai I 
Published: June 2020

Abstract
We numerically investigate the impact of Coulomb collisions on the ion dynamics in high-Z, solid density caesium hydride and copper targets, irradiated by high-intensity (

I
≈
2

−

5
×

10

20

W

c

m

−
2

), ultrashort (∼10 fs), circularly polarized laser pulses, using particle-in-cell simulations. Collisions significantly enhance electron heating, thereby strongly increasing the speed of a shock wave launched in the laser-plasma interaction. In the caesium hydride target, collisions between the two ion species heat the protons to ∼100−1000 eV temperatures. However, in contrast to previous work (A E Turrell et al 2015 Nat. Commun.
6 8905), this process happens in the upstream only, due to nearly total proton reflection. This difference is ascribed to distinct models used to treat collisions in dense/cold plasmas. In the case of a copper target, ion reflection can start as a self-amplifying process, bootstrapping itself. Afterwards, collisions between the reflected and upstream ions heat these two populations significantly. When increasing the pulse duration to 60 fs, the shock front more clearly decouples from the laser piston, and so can be studied without direct interference from the laser. The shock wave formed at early times exhibits properties typical of both hydrodynamic and electrostatic shocks, including ion reflection. At late times, the shock is seen to evolve into a hydrodynamic blast wave.
Ξbb and Ωbbb molecular states *
Authors: Dias J. M. , Yu Qi-Xin , Liang Wei-Hong , Sun Zhi-Feng , Xie Ju-Jun , Oset E. 
Published: June 2020

Abstract
Using the vector exchange interaction in the local hidden gauge approach, which in the light quark sector generates the chiral Lagrangians and has produced realistic results for

and the hidden charm pentaquark states, we study the meson-baryon interactions in the coupled channels that lead to the

and

excited states of the molecular type. We obtain seven states of the

type with energies between

and

MeV, and one

state at

MeV.
Exact solution of U(5)–O(6) transitional description in interacting boson model with two-particle and two-hole configuration mixing *
Authors: Dai Lianrong , Pan Feng , Feng Ziwei , Zhang Yu , Cui Sai , Draayer J. P. 
Published: June 2020

Abstract
The exact solution of the U(5)-O(6) transitional description in the interacting boson model with two-particle and two-hole configuration mixing is derived based on the Bethe ansatz approach. The Bethe ansatz equations are provided to determine the model's eigenstates and corresponding eigen-energies. N= 2 and N= 4 cases are considered as examples to demonstrate the solution features. As an example of the application, some low-lying level energies and B(E2) ratios of 108Cd are fitted and compared with the corresponding experimental data.
Gyroscope precession frequency analysis of a five-dimensional charged rotating Kaluza-Klein black hole
Authors: Azreg-Aïnou Mustapha , Jamil Mubasher , Lin Kai 
Published: June 2020

Abstract
We study the spin precession frequency of a test gyroscope attached to a stationary observer in the five-dimensional rotating Kaluza-Klein black hole (RKKBH). We derive the conditions under which the test gyroscope moves along a timelike trajectory in this geometry, and the regions where the spin precession frequency diverges. The magnitude of the gyroscope precession frequency around the KK black hole diverges at two spatial locations outside the event horizon. However, in the static case, the behavior of the Lense-Thirring frequency of a gyroscope around the KK black hole is similar to the ordinary Schwarzschild black hole. Since a rotating Kaluza-Klein black hole is a generalization of the Kerr-Newman black hole, we present two mass-independent schemes to distinguish these two spacetimes.
Collision of spinning particles near BTZ black holes *
Authors: Yuan Xulong , Liu Yunlong , Zhang Xiangdong 
Published: June 2020

Abstract
We study the collision property of spinning particles near a Bañados-Teitelboim-Zanelli (BTZ) black hole. Our results show that although the center-of-mass energy of two ingoing particles diverges if one of the particles possesses a critical angular momentum, the particle with critical angular momentum cannot exist outside of the horizon due to violation of the timelike constraint. Further detailed investigation indicates that only a particle with a subcritical angular momentum is allowed to exist near an extremal rotating BTZ black hole, and the corresponding collision center-of-mass energy can be arbitrarily large in a critical angular momentum limit.
P-V criticality and Joule-Thomson expansion of charged AdS black holes in the Rastall gravity *
Authors: Meng Yuan , Pu Jin , Jiang Qing-Quan 
Published: June 2020

Abstract
We discuss the

criticality and the Joule-Thomson expansion of charged AdS black holes in the Rastall gravity. We find that although the equation-of-state of a charged AdS black hole in the Rastall gravity is related to the Rastall parameter

, its reduced equation-of-state at the critical point is independent of the Rastall parameter

, as is the case in the Einstein gravity where

. This is the reason why the critical exponents are not related to the Rastall parameter

. We also find that the inversion temperature

is related to the Rastall parameter

, but that the minimum inversion temperature

and the ratio

between the minimum inversion temperature and the critical temperature are both independent of the Rastall parameter

. At the critical point, the thermodynamic evolution of a charged AdS black hole in the Rastall gravity behaves as in the van der Waals fluid and charged AdS black hole in the Einstein gravity. We show the inversion curves and isenthalpic curves in the

plane and analyze the effect of the Rastall constant

on the inversion curves of a charged AdS black hole during the Joule-Thomson expansion.
Survival and Performance of Hydrilla verticillata (L.f.) Royle and Eichhornia crassipes (Mart.) Solms as Phytoremediator on Leachate of Jatibarang Landfill in Semarang, Central Java
Authors: Muftiana Maria , Izzati Munifatul , Soeprobowati Tri Retnaningsih 
Published: June 2020

Abstract
Leachate is liquid waste released from accumulated landfill which contains various dissolved compound, particularly organic matter. Leachate rinses the dissolved materials, as well as organic materials from biological decomposition process. Decomposition process releases decomposition result quickly using available oxygen and creates anoxic environment. Leachate can cause water pollution, both of ground and surface water that needs to be handled properly. The aim of this study to evaluate the survival and performance of H.verticillata and E.crassipes as phytoremediator on leachate of Jatibarang landfill in Semarang. This research used leachate which is combined with fresh water. There were three repetition of it is treatment. The treatment are 100% leachate, 75% leachate dissolved with 25% fresh water, 50% leachate dissolved with 50% fresh water and 25% leachate dissolved with 75% fresh water. Phytoremediator plant in fresh water without leachate served as control. Results of the study showed that the presence of E. crassipes was effective in increasing pH and dissolved oxygen in leachate. Compared to H. verticillata, E. crassipes shows better survival growth rates and performance. To reach an optimum remediation result the leachate should be dissolved in 25% leachate and 75% of fresh water.
Plants Diversity of Agroforestry System in Ciliwung Riparian Landscape, Bogor Municipality
Authors: Prastiyo Y B , Kaswanto R L , Arifin Hadi Susilo 
Published: June 2020

Abstract
Ciliwung riparian has facing land use change problem due to settlement occupation, particularly in Bogor which is a municipality with a high population increase in Indonesia. These problem has reduced agroforestry land use of Ciliwung riparian, such as talun (forest garden), kebun campuran (mixed garden), and pekarangan (home garden) which ultimately reduce one of riparian landscape services, that is conserving of plants diversity. Therefore, the purpose of this paper is to show the research result of capacity of conserving plant diversity of agroforestry land use, as a basis for arranging the management of Ciliwung riparian landscape in Bogor Municipality. This study used 14 sample plots of agroforestry land use (4 taluns, 5 kebun campurans, 5 pekarangans) with purposive sampling method, for vegetation analysis of agroforestry land use. Plants diversity was calculated based on value of Shannon-Wiener diversity index (H’) and Margalef richness species index (Dm). The results showed that Ciliwung riparian vegetation in Bogor Municipality was dominated by groundcover plants (0-1 m) and tree plants (5-10 m) with functions as ornamental and conservation plants. The species diversity of agroforestry land use of Ciliwung riparian of Bogor was in medium category (1<H’<3) on average. Kebun campuran has H’ index of 2.07, talun of 1.84, and pekarangan of 1.55. The species richness Dm of talun is 4.32 (high category), while pekarangan and kebun campuran have Dm values in medium category, with values of 3.90 and 3.63 respectively. Overall agroforestry land use of Ciliwung riparian in Bogor Municipality has a good plants diversity (medium-high category), so it can be considered to have fairly balanced ecosystem conditions and medium ecological pressure. This diversity is useful for maintaining the quality and quantity of urban water system in Bogor.
SDGs involvement introducing graduates participation in rural sustainability
Authors: Kyaw Thain Shewe 
Published: June 2020

Abstract
Most of the developing countries like China, India, Malaysia, Bangladesh, and others are insisting on higher education in nation’s development. It is admissible to say that the urgency of higher education comes intending to retain continuity of economic growth. In developing counties-the job market awaits knowledgeable workers, hence a need for quality education; besides, parents believe that a bright future could only be ensured through higher education. Nevertheless, the higher education system and its global context transformed youth into a product for a competitive market. This product has more value in urban context than the rural. There arise difficulties for the youth (of rural areas) to retreat, backed by an intention to share the fruits of his/her higher degrees with his local people. This study tends to uproot the intended consequences, which are regulating and become significant barriers to graduates’ participation in rural sustainability. In this context, this paper addresses the question: Do SDGs agendas introducing graduates’ participation in rural sustainability? The answer could be explored observing and analysing institutional (Governmental) and organizational (NGO) activities with (local) graduates in rural areas. SDGs involvements almost reach the root level to aid the rural people, and these goals are a part of community development in the rural area. Graduates’ aspiration to work for rural sustainability and against this, the opportunities to be available, is a challenge for developing countries. To achieve SDGs by 2030, developing nations must overcome this challenge. Moreover, SDGs agencies are cooperating with developing nations to overcome this challenge.
A Preliminary Component Model for IoT
Authors: Kamarudin Arbaayah , Yap Ng Keng , Abdullahi Ali Mohamed , Swee Phang Lim 
Published: June 2020

Abstract
The enthusiasm of IT entrepreneurs in producing Internet of Things (IoT) systems is undeniable as currently, the number of connected devices is enormously increasing. Many research has been done to efficiently develop IoT systems. IoT systems are usually engineered from scratch. IoT component models have been introduced but lack of generic development framework or model that supports high reusability and loose coupling in dealing with the heterogeneous devices that can hinder its development. Thus, an IoT component model is proposed. Meta-modelling has been used to define the component model where the specific interaction and composition standard in a component are abstracted. IoT component model is intended to develop a prototype for IoT development. With this IoT prototype, IoT system developers will not need to develop everything from scratch every time, as generic components can be reused even when it is applied in different domains or during system enhancement is required. Smart home IoT system has been selected as a case study to evaluate our prototype tool. In this study, we provide an alternative way to develop IoT software in component-based software engineering method. A prototype has also been developed to assist reusability and reduce coupling between modules.
Implementation of the Greedy Algorithm to determine the nearest route Search in distributing food production
Authors: Fahmi Hasanul , Zarlis Muhammad , Nababan Erna B , Sihombing Poltak 
Published: June 2020

Abstract
Distribution is the activity of allocating goods from producers to customers within allocated time. Managing product distribution is very important for the survival of a company, yet improper planning and management will cause the production is stacked in the warehouse thus this will cause unhealthy financial cycles and turnover to the company itself. Nowadays many companies produce foodstuffs but one of the major problems faced by the companies are the delays in distributing food production. It is found that the common difficulty faced by the food production companies in distributing the product due to long travelling distance, traffic congestion, natural disasters, ambiguous routes as well as unstructured routes. To overcome the problems, greedy algorithm is implemented. The algorithm able to identify the optimal pathway and time consumption by finding the closest distance, followed by the utmost distance. Therefore this will reduce the cost of distribution and other company resources. The results of this study show that the algorithm identifies Route 5 as the best route. This is because it will go through 5 cities, namely A-B-C-F-G-H with distance of 648KM. Although it is considered as long travelling distance, on the other hand the algorithm suggests that 648KM is the optimum distance to travelling to city H.
A Geofencing-based Recent Trends Identification from Twitter Data
Authors: Saef Ullah Miah M. , Sadid Tahsin M. , Azad Saiful , Rabby Gollam , Sirajul Islam M. , Uddin Shihab , Masuduzzaman M. 
Published: June 2020

AbstractFor facilitating users from information overloading by finding recent trends in twitter, several techniques are proposed. However, most of these techniques need to process extensive data. Therefore, in this paper, a geofencing-based recent trends identification technique is proposed, which acquires data based on a geofence. Afterwards, they are cleaned and the weight of these tweet data is calculated. For that, the frequency of tweet texts and hashtags are taken into account along with a boosting factor. Thereafter, they are ranked to recommend recent trends to the user. This proposed technique is applied in developing a system using Java and python. It is compared with other relevant systems, where it demonstrates that the performance of the proposed system is comparable. Over and above, since the proposed system integrates geofencing feature, it is more preferable over other systems.
An Improved Mapping Pattern for Digital Watermarking using Hilbert-Peano Pattern
Authors: Nazmi Nasir Mohamad , Izhar Hisham Syifak , Faizal Ab Razak Mohd 
Published: June 2020

Abstract
In the present, watermark plays an important part in all copyrighted content whether it is physical or digital. The importance of watermark in digital data increases as the usage of internet in transferring data increases day by day as the technologies improves. The main objective of using digital watermark is to apply the highest security as possible to the digital image and in the same time to reduce as most disturbance as possible that can be visible to the human eye. This research proposed a hybrid mapping pattern which is Hilbert-Peano Curve to try to achieve the highest security as possible from alteration. This proposed digital watermark uses the Least Significant Bit (LSB) to store the watermark data, which consist of parity bits as the authentication data and recovery data. This is to reduce the disturbance to the original image as much as possible as it might alter the colour of the original image. The results are compared with the existing watermark, Hilbert-LSB to analyse which pattern is suitable to be implemented with the watermarking scheme. The results of this research shows Hilbert-Peano pattern can contribute better performance in terms of watermark data security, time taken to embed watermark data, and the imperceptibility level if compared to the original Hilbert mapping pattern.
Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights
Authors: Faris Ramli Muhammad , Muniandy Kishendran , Adam Asrul , Ab. Nasir Ahmad Fakhri , Ibrahim Shapiai Mohd 
Published: June 2020

Abstract
This study presents the indoor occupancy estimation using carbon dioxide concentration and neural network with random weights (NNRW). The utilization of carbon dioxide concentration is as an alternative to overcome the limitation of existing techniques, such as dependency to favourable lighting condition and camera position. Whereas, NNRW provides a generalized and fast learning speed classification. In this study, MH-Z19 sensor is used to acquire carbon dioxide concentration and the NNRW is a multiclass estimation method. The numbers of the occupants are divided into three different classes, which are 15 occupants, 30 occupant and 50 occupant classes. Result indicates that the NNRW classifier has obtained training and testing accuracy, about 100 percent and 52 percent, respectively.
Reducing the Throughput Time for Patient Flow in Emergency Department: Simulation and Modelling Overview
Authors: Hamza Nidal , Abdul Majid Mazlina , Al-Bashiri Hael 
Published: June 2020

Abstract
Satisfaction of patient considered as a main issue of quality of service in the healthcare sector. Typically, this satisfaction depends on the services quality provided by hospitals. Emergency Department (ED), as a critical department in the hospital, has a complicated registration system that may lead to increase the patient throughput time. Thus, to minimize this growing in the throughput time, numerous simulation and modelling, in the literature, have been developed and introduced. However, the throughput time in ED still represent in issue need for improvement to increase the ED performance. Therefore, in this paper, the main objective is providing an overview related to the characteristics and significance of current simulation and model techniques. As a result, in the ED realistically, integrating Agent-Based Simulation (ABS), Desecrate Event Simulation (DES), and System Dynamic (SD) techniques has been preferred as the solution to modelling the patient flow in ED and in turn may lead to decrease the throughput time. The proactive and independent characteristics of aforementioned techniques can contribute to the good representation the patients flow and their throughput time in ED.