bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the Boundary Condition and Related Instability in the Smoothed Particle Hydrodynamics
Authors: Ye Chong , Mota Philipe , Li Jin , Lin Kai , Qian Wei-Liang 
Published: November 2019

Abstract
In this work, we explore various relevant aspects of the Smoothed Particle Hydrodynamics regarding Burger’s equation. The stability, precision, and efficiency of the algorithm are investigated in terms of different implementations. In particular, we argue that the boundary condition plays an essential role in the stability of numerical implementation. Besides, the issue is shown to be closely associated with the initial particle distribution and the interpolation scheme. Among others, we introduce an interpolation scheme termed symmetrized finite particle method. The main advantage of the scheme is that its implementation does not involve any derivative of the kernel function. Concerning the equation of motion, the calculations are carried out using two distinct scenarios, where the particles are chosen to be either stationary or dynamically evolved. The obtained results are compared with those obtained by using the standard finite difference method for spatial derivatives. Our numerical results indicate subtle differences between different schemes regarding the choice of boundary condition. In particular, a novel type of instability is observed where the regular distribution is compromised as the particles start to traverse each other. Implications and further discussions of the present study are also addressed.
Scalar or Vector Tetraquark State Candidate: Zc(4100)*
Authors: Wang Zhi-Gang 
Published: November 2019

Abstract
In this article, we separate the vector and axialvector components of the tensor diquark operators explicitly, construct the axialvector-axialvector type and vector-vector type scalar tetraquark currents and scalar-tensor type tensor tetraquark current to study the scalar, vector and axialvector tetraquark states with the QCD sum rules in a consistent way. The present calculations do not favor assigning the Zc
(4100) to be a scalar or vector tetraquark state. If the Zc
(4100) is a scalar tetraquark state without mixing effects, it should have a mass about 3.9 GeV or 4.0 GeV rather than 4.1 GeV; on the other hand, if the Zc
(4100) is a vector tetraquark state, it should have a mass about 4.2 GeV rather than 4.1 GeV. However, if we introduce mixing, a mixing scalar tetraquark state can have a mass about 4.1 GeV. As a byproduct, we obtain an axialvector tetraquark candidate for the Zc
(4020).
Analysis of shape optimization problems for unsteady fluid-structure interaction
Authors: Haubner Johannes , Ulbrich Michael , Ulbrich Stefan 
Published: November 2019

Abstract
Shape optimization via the method of mappings is investigated for unsteady fluid-structure interaction (FSI) problems that couple the Navier–Stokes equations and the Lamé system. Building on recent existence and regularity theory we prove Fréchet differentiability results for the state with respect to domain variations. These results form an analytical foundation for optimization und inverse problems governed by FSI systems. Our analysis develops a general framework for deriving local-in-time continuity and differentiability results for parameter dependent nonlinear systems of partial differential equations. The main part of the paper is devoted to conducting this analysis for the FSI problem, transformed to a shape reference domain. The underlying shape transformation—actually we work with the corresponding shape displacement instead—represents the shape and the main result proves the Fréchet differentiability of the solution of the FSI system with respect to the shape transformation.
There is no general connection between the quantum speed limit and non-Markovianity
Authors: Teittinen J , Lyyra H , Maniscalco S 
Published: November 2019

Abstract
The quantum speed limit (QSL) sets a bound on the minimum time required for a quantum system to evolve between two states. For open quantum systems this quantity depends on the dynamical map describing the time evolution in presence of the environment, on the evolution time τ, and on the initial state of the system. We consider a general single qubit open dynamics and show that there is no simple relationship between memory effects and the tightness of the QSL bound. We prove that only for specific classes of dynamical evolutions and initial states, there exists a link between non-Markovianity and the QSL. Our results shed light on the connection between information back-flow between system and environment and the speed of quantum evolution.
An OpenMP-Based Algorithm for Multi-Nodes Computational of Super-Resolution
Authors: Ma Jun , Wang Xiaoyong , Li Feng , Yang Xue 
Published: November 2019

Abstract
A new common OpenMP based parallel programming method MPMC (multi-node paralleling model base on multiprocessor devices) is proposed and implemented for data separation based to accelerate Super-Resolution (SR) task. PanguOS, a common parallel programming system designed with MPMC, is deployed with Secure Shell (SSH) to control devices and Secure Copy (SCP) to transmit the data stream on Ubuntu 16.04, and it has a good performance for SR task with remote sensing images. Experiments with images from geostationary-orbit earth observing satellite GaoFen(GF)-4, the method proposed can achieve almost 2.95 times acceleration at PanguOS, deployed with 3 Jetson TX2s, than a single Jetson TX2.
A Face Recognition Method Based on CNN
Authors: Xie Zhiming , Li Junjie , Shi Hui 
Published: November 2019

Abstract
The traditional face recognition technology is more complicated for the extraction of facial image features and the selection of classifiers, and the recognition rate is not high. With the continuous maturity of the convolutional neural network from handwritten digit recognition to face recognition, A face recognition algorithm that tests CNN using the Python+Keras framework. The method mainly involves two aspects. One is to observe the influence on the network by changing the number of neurons in the hidden layer; the other is to observe the influence on the network by changing the number of feature maps of the convolutional layer 1 and the convolutional layer 2. The best CNN model is 36-76-1024 through multiple sets of experimental tests. The model can automatically extract facial image features and classify them. Using adam optimizer and softmax classifier for face recognition can make training faster convergence and more. Effectively improve accuracy and use the Dropout method to avoid overfitting. The experimental results show that the recognition rate of the CNN model on the olivettifaces face database is 97.5%. When the optimal CNN model is used, the average recognition rate is close to 100%, which verifies the validity and accuracy of the algorithm and model.
Voice compression using discrete cosine transform and wavelet transform
Authors: Rolon-Heredia J A , Garrido-Arevalo V M , Marulanda J 
Published: November 2019

Abstract
Compressing information, such as voice, allows freeing up memory space, better utilizing bandwidth, in other words taking advantage of resources more efficiently in a time where technologies such as Voice over Internet Protocol are booming and the demand for information it requires higher speeds and quality. Therefore, this paper presents the acquisition and digital processing of voice signals, as well as the application of the discrete cosine transform and the wavelet transform using Matlab software version 2017b, licensed by the Technological University of Bolivar. Likewise, a criterion is established in order to eliminate little relevant information without affecting the quality of the output signal for which indicators such as the signal to noise ratio and the mean square error are calculated.
Status estimator using Kalman filter for a permanent magnet synchronous machine
Authors: Mesa F , Camelo Andrés , Carlos Ramírez V 
Published: November 2019

Abstract
In this work, the problem of estimating the states of a nonlinear dynamic system is exposed, where it is necessary to implement algorithms that treat said linearity and allow to estimate in an appropriate way the future states of said system. One of the techniques that is responsible for the estimation task for non-linear models is the extended Kalman filter which will be developed in this work for the estimation of the states of the synchronous machine of permanent magnets with its dynamic model determined in the framework reference dq.
Evaluation of the minimum required length to study improved heat exchangers via computational fluid dynamics
Authors: Valdes M , Ardila Marín J G , Holguin M 
Published: November 2019

Abstract
Heat exchangers are fundamental for energy plants and the operation of industrial processes. As a result, active and passive techniques are needed to increase heat transfer and develop efficient and reliable designs. The design of heat exchangers has been based on iterative methods that require experimentation to be validated. These circumstances, added to the development of powerful microprocessors, promote the use of numerical methods to study flow distribution and pressure drop, as well as thermal analyses applying different turbulence models and several coupling speed-pressure schemes. This paper examines flow development through curved and twisted tube heat exchanger by means of a computational fluid dynamics numerical model developed in ANSYS® in order to establish the minimum length required to infer conclusions for the complete exchanger. This work tries to reduce the computational cost while maintaining the balance between desired accuracy and available computational resources. Finally, this study shows that the flow can be considered fully developed after it has traveled 360° inside the helix; after that point, secondary flows and re-circulation regions improve the heat transference in these devices can be verified.
Information technology models for the adaptation of the production processes
Authors: Sánchez-Perilla A L , Velásquez-Pérez T , Camargo-Pérez J A 
Published: November 2019

Abstract
For an organization it is important to have clearly the objectives, goals and purposes of its business and that all people who are related to it have the same clarity of how the organization works and where it wants to go, for this there are management tools such as the balanced scorecard that along with the control panels can get to have an articulation and better knowledge of the processes that exist within it. A review of the state of the art of the management tool is made to know its components and be able to design a model that fits the experimental farm of the Universidad Francisco de Paula Santander, Ocaña, Colombia, attached to the “Facultad de Ciencias Agrarias y del Ambiente”, to support the administrative process of the same. The balanced scorecard will be taken into account, which is a management tool based on indicators that facilitate the monitoring and achievement of farm objectives, helping the organization to meet its objectives, bearing in mind that the balanced scorecard has 4 important approaches to the process: client, internal processes, innovation and training. For the development of the investigation a methodology with a quantitative approach will be handled where it is tried to know the handling of the processes and to adapt them to the models of government of technologies of the information, with the objective to diagnose and to determine the key indicators of the productive processes of the farm of the university contributing to the continuous improvement.
Online courses at international and national platforms and the possibility of creating a digital educational environment for megaprojects
Authors: Belaga V V , Dolgy E V , Klygina K V , Kochnev P O , Panebrattsev Yu A , Sidorov N E , Vesna E B 
Published: November 2019

Abstract
Professional training for mega-science projects is a matter of pressing concern. The National Research Nuclear University MEPhI (NRNU MEPhI) created online courses on the topic of Strategic Academic Units (SAU). These courses are published on the most popular international platforms for mass open educational resources: Coursera and edX. NRNU MEPhI online courses are also presented on the National Open Education Platform and the Educational Portal of NRNU MEPhI. NRNU MEPhI students participate in various modern international projects, including megaprojects of the Joint Institute for Nuclear Research (JINR) among which are creation of the NICA collider, experiments on the synthesis of new elements, research in the field of the physics of condensed state of matter and environmental science carried out at a high-resolution neutron source. At the initiative of the JINR University Centre, the JINR Educational Portal was created. It hosts online courses created by JINR scientists on the topic of mega-projects. The report discusses proposals on the possible integration of the efforts of NRNU MEPhI teachers and JINR scientists in creating a digital multidisciplinary educational environment, which will support formation of individual learning trajectories for professionals for their further work in mega-science projects.
The aspects of a draft model of international scientific and technical cooperation of the International Center for Neutron Research PIK
Authors: Gulyaeva T K , Zaplatina T S , Nurahov N N 
Published: November 2019

Abstract
Analysis of the existing «megascience» projects, such as the Joint Institute for Nuclear Research (JINR) in Dubna (the Russian Federation) and the European Spallation Source (ESS) in Lund (the Kingdom of Sweden) allows to conclude that one of the most suitable legal forms for the ICNR PIK would be an international intergovernmental organization (IGO). Legal status of the IGO would provide an international participation in the functioning of the ICNR PIK within the territory of the Russian Federation on the grounds of member or observer status or conclusion of bilateral and multilateral agreements on specific science programs and research studies. To conclude, the IGO is the most suitable organizational and legal form for the ICNR PIK. The establishment of the ICNR PIK will contribute to further integration of the Russian science in the global scientific research community and will expand the scope of cooperation of the Russian Federation in the international arena.
On the prospects for an integrated approach to the legal regulation of scientific projects of the “megascience” class
Authors: Karandaev I Y 
Published: November 2019

Abstract
Scientific projects of the “megascience” class are large-scale scientific facilities that require the attraction of significant human, material and financial resources. Given these features, they are most often realized by sharing costs between several states interested in implementing projects. The involvement of foreign participants in Russian scientific projects of the “megascience” class leads to the need to comply with the requirements of the legislation of the Russian Federation, which do not take into account the specifics of projects of the “megascience” class, in particular the organization of the stay of foreign scientists, engineers, their labor activities, import and export of scientific equipment, personnel training and others. In this regard, the report considers options for an integrated approach to the legal regulation of scientific projects of the “megascience” class in order to improve their implementation mechanisms and make them more attractive to foreign participation.
Fermented chicken feathers using Bacillus subtilis to improve the quality of nutrition as a fish feed material
Authors: Adelina A , Feliatra F , Siregar Y I , Suharman I , Pamukas N A 
Published: November 2019

Abstract
Chicken feather meals constitutes 80-85% protein, the main component being betakeratin, a fibrous and insoluble structural protein extensively cross linked by disulfide bonds. The keratins can not be absorbed directly in the digestive system, therefore a processing technique is required to make it more absorbable. Processing technique can be fermentation by microorganism Bacillus subtilis to degrade keratin by secretion of keratinase. The aim of this study was to examine fermentation of chicken feather meal with B. subtilis to improve the quality of fish feed ingredients. The treatments were: no-fermented; fermentation of chicken feather meals: 6, 8, 10, 12 and 14 ml inoculum fermentation using B. subtilis, respectively for chicken feather meal as much as 2 g. The results showed that the processing fermentation with 10 ml inoculum B. subtilis gives the best results in the highest keratinase activity (273.33 U/ml), increased the protein content of chicken feather meals (74.16 to 85.20%), but decreated of lipid content (2.44 to 1.42%) and carbohydrate content (7.86 to 2.05%) with a change in the physical properties of white -yellow (color), soft (texture), and less typical sting (smell).
Role of national fish logistic system (SLIN) based on the fishing port in supporting food security in Simeulue Island, Aceh Province, Indonesia
Authors: Rizal M , Amarullah T , Rahma E A 
Published: November 2019

Abstract
The aim of this study is to know the national fish logistics system as an effort to support sustainable food security. One of the potential that Indonesia has is capturing fisheries which reached 6.4 million tons of fish per year. However, it has not been managed properly in an effort to support food security. Besides, the fish production in certain fishing ports often excess supply and limited of fish in several other fishing ports. This will lead to practices that suppress fish prices when overproduction, even fishermen/cultivators dispose of their products to maintain price stability, without taking into account the sustainability aspects. This issue can be resolved immediately with a study that leads to SLIN, but having a commitment to support this business has developed the concept of connectivity between regions. the study was taken in 10 fishing ports at Simeulue Island which used type D. The result showed that from the aspect of development goals, it is necessary to provide supply continuously, to utilize the potential optimally and to coordinate the integration of fish availability in production centers and/or collection centers or distribution center, obstacle elements include; lack of PP facilities and infrastructure, no integration between PPs, and lack of diversification of HT and products.
The effects of turmeric flour Curcuma longa on fertilization, hatching and survival rates of seurukan fish Osteochilus vittatus
Authors: Yusnita D , Ibrahim Y , Saputra F 
Published: November 2019

Abstract
Phytoestrogens, one of the biochemicals derived from turmeric plant, possessed a structural similarities to estradiol, which may possibly exert similar activities in stimulating liver to synthesize vitellogenin. This vitellogenesis is important part in follicular development. This study aimed to evaluate the effects of turmeric flour (Curcuma longa) on the fertilization, hatching and survival rate of Serukan fish (Osteochilus vittatus). Completely randomized design consisting of four treatments and three replications were used in this study. A total of 10 matured females were fed with turmeric flour for eight weeks at dose of 0, 0.25, 0.5, and 0.75 gr per kg feed. The results showed that turmeric flour could improve the survival rate of Serukan fish (Sig < 0.05). Specifically, administration of turmeric flour at level of 0.5 gr per kg feed could increase survival rate up to 95.78 ± 2.0 %, being much higher than control reaching up to 55.78 ± 1.9%. However, the fertilization and hatching rate seemed to be unaltered by the treatments (Sig>0.05). This study suggested that turmeric flour could significantly affect the survival of the early life of serukan fish.
Fisheries in Merauke: linking fishermen to markets
Authors: Zulham A , Hikmah H , Shafitri N 
Published: November 2019

Abstract
The Indonesian Minister of Marine and Fisheries Regulations has given a prospect for domestic fishing vessels and Merauke as the stay over fishing port. This study found that in Merauke the capacity of cold storage was only 2,250 tons; the shortage of ice supply for fishing remains occurred; most of the fishing fleets were not equipped with freezer and; the fish-processing unit did not exist. As a consequence, 13.42% - 51.5% of fishes were thrown away to the sea after taking the swim bladder of fish (fish maw). Data and information on fisheries were collected from 23 April 2019 to 3 May 2019 in Merauke. The supply chain approach was used for policy intervention to improve the fishing business. The objective of this study was to analyze the phenomenon of fishery business in Merauke. The main conclusion of the analysis show, Merauke become a landing place for fish maw’s fishing fleets from the Arafura Sea. This study recommended that there must be an investor to organize a 100 tons ice factory as a supplier for fishing vessels. Merauke might be promoted as the center for pet food industries by using discarded fish to fill domestic market demand. Promote local traders to follow domestic and international fish trade exhibition to prepare Merauke as the business center of fish maw.
The model of fishing partnership in financing and marketing product : case study in Tangerang Regency
Authors: Nurlaili  , Muhartono R , Hikmah  , Shafitri N 
Published: November 2019

Abstract
The purpose of the study is to describe the model of fishing business partnership in financing and marketing product in Tangerang regency. In general, the financing and marketing product are obstacles in fisheries business. Fishermen built a partnership as an effort to maintain the sustainability of their business fisheries. The study was conducted in April 2019 in Pakuhaji district, Tangerang regency, Banten province. Qualitative methods are used in this study by analyzing descriptive based on primary data from fisherman. The results show that the partnership model of fishing business in financing and marketing product by using patronage patterns between fishermen and bosses or langgan. The business partnership model built are informal, patron-client or reciprocal and without a written contract. The fishermen have a boat used the bosses capital, while the boss benefits from the margin from prices and the commission system based on the large of fishermen's debt. The factors to build business partnership models are financial, technical and social.
The dynamic of spiny lobster larvae abundance in Awang Bay waters of Lombok Island, Indonesia
Authors: Junaidi M , Cokrowati N , Diniarti N , Damayanti A A , Wardiatno Y 
Published: November 2019

Abstract
The activity of catching the lobster larvae that has been increased for the long term will bring a negative effect to the lobster population on earth. Therefore, the main aim of this research is to get a better knowledge about the dynamic of spiny lobster larvae abundance and its relation to the condition of the waters spatially and temporally in Awang Bay Waters of Lombok Island, Indonesia. The data collection covered the lobster larvae abundance and the quality of waters which included the physical parameter, chemistry, and phytoplankton. There were 5 random stations collected in research location. The observation of lobster larvae abundance did by installing the collector tools where the collection of the larvae is the amount of the whole collector in each station. The measurement of the waters parameter quality did directly on location and the analysis did on the laboratory. The result of the research shows that lobster larvae consist of 2 species which were Panulirus homarus (82,9%) and Panulirus ornatus (17,1%). Lobster larvae were found dominantly on January and February with the abundance 62-76 ind./unit and found more around the bay side and influenced by the condition of the water's quality. The lobster larvae abundance were positively correlated to the phytoplankton abundance, salinity, brightness, temperature, flow, turbidity, nitrate, and phosphate. Meanwhile, the larvae abundance were negatively correlated to the pH and dissolved oxygen.