bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Business Intelligence in Data and Information for Student Admission Process in Mulia University
Authors: Mirwansyah Dedy , Riyayatsyah  , Sari Dewi Wulan 
Published: April 2021

Abstract
Mulia University is a private university that carries the slogan “Global Technopreneur Campus” with a total of 1631 students per August 2019. Mulia University has two campuses for learning support. The first one is Balikpapan Main Campus, and the other one is Samarinda Campus. The data to be used in this research is a prototype. Then, will be analyzed by Business Intelligent. Business intelligence is a series of processes to get information easily from large and complex data. In this research has been conducted two stages of analysis, which is data collection techniques and data analysis techniques on prospective student data. The application that is used in this research is Microsoft Power Business Intelligence. By using Microsoft Power Business Intelligent, it is expected to simplify the management of student admission reports, as well as decision making and to determine future strategies. The results of this research are data visualization information reports about student admission.
The Application of Smart Home System to Manage Electric Prepaid Type R1 KWH Meter Using Lattepanda Single Board Computer
Authors: Arifin Z , Safi’i M , Pamungkas W H , Servanda Y 
Published: April 2021

Abstract
The software industry encourages large investments in technology, researchers make a simple concept in the process of digitizing home electrical switches to save and optimize the time of use of electricity on any electronic devices that are connected to electricity. The making of the system has been designed with the electric switch countdown time activated so that the user can set the length of time the electricity is used as needed to save the prepaid electric pulse-type R1. Another capability of this electricity management software is that it can calculate the use of kilowatt-hour quickly based on the basic electricity tariff that educates for the importance of 1 kilowatt-hour. From the results of testing and developers using microprocessor technology using laser markers making smart home software can manage electricity savings precisely and easily on R1 prepaid electricity meters.
Conformity Between The Choices Of Entering Majors With Employment After Graduation At Non-Technology And Industrial Vocational Schools In Indonesia
Authors: Ariyani Linda Fauziyah , Pamungkas Alim Harun , Agung Pratama Chandra Bagus , Mintarti Widjaja Sri Umi , Wahyono Hari , Haryono Agung 
Published: April 2021

Abstract
The high open unemployment rate of vocational graduates in the two semesters of August 2018 and February 2019 is an anomaly, Indonesia government through presidential instruction No. 9 of 2016 concerning vocational revitalization which imposes four national development priorities on vocational education, they are Agriculture, maritime, tourism, and creative industries. Indonesia Ministry of Education also targets vocational graduates in Indonesia absorbed by industry. Non-technology and industrial vocational schools are an inseparable part of the four priorities of Indonesia’s national development mentioned earlier. This research tries to describe the problems that suffer from vocational schools, more specifically the relationship and appropriateness of the majors they choose with their work after graduation. This research with a sample of 1398 non-technology and industrial vocational high school, 629 alumni and 769 students. This research found 938 respondent who choose to study at non-technology and industrial vocational schools for reasons of interest, and only 283 alumni work according to their chosen majors, or only 45 percent. A more sad number was found in the overall sample, where only 55% percent of alumni were employed in accordance with their chosen majors. For this reason, revitalization of non-technology and industrial vocational schools in Indonesia is required.
Design and Implementation of Web Application for Attendance List of Lecturers Using Codeigniter and Bootstrap Framework
Authors: Jamal  , Yamani  , Mundzir  , Vidy  , Idris Nasruddin Bin , Rosita Isa , Gunawan  
Published: April 2021

Abstract
Creating web application using traditional programming has lots of obstacles and failures in its development due to the fact that not only it is very difficult to trace logically but also it is not well organize. To overcome this, the researchers have created a new technology in web programming using framework. In this research, we used codeigniter framework. We designed and implemented web application for attendance list of lecturers that teach at Mulia University in Balikpapan using codeigniter and bootstrap framework. This research has several steps: collecting data, process modeling, data modeling, program creating, and application testing. The application that was created is based on system design which has been made before and its result has been tested by lectures that teach the courses. The main features that have been resulted in this research is login system, courses, lectures, lecturers attendance list, and its report. The result of this research is lecturers attendance list system which design and implement web program using codeigniter and bootstrap framework and LTE admin easily and fastly. This attendance system hopefully will make all the process of attendance practical and easy.
An Approach to Elicit Trustworthiness Requirements in Blockchain technology
Authors: Alzahari S , Kamalrudin M 
Published: April 2021

Abstract
The leading Blockchain technology facilitates in many sectors including finance and healthcare. However, some technical challenges such as fraud and hacking arise may impact trust of users towards this technology. Requirement elicitation is one of requirement engineering activities to determine system requirements through discussion with stakeholders from documentation and underlying domain before executes it to development stage. The available methods for eliciting requirements, such as interviews and brainstorming are found to be time-consuming, and they fail to identify trustworthiness requirements. Further, eliciting requirements for Blockchain application is found to be challenging, as the properties of Blockchain application are different from the common technology. Moreover, the common elicitation practices are lacking on considering trust elements when eliciting requirements. Therefore, this research aims to propose a new automated elicitation approach which is a library for trust requirements of Blockchain application. A new trust taxonomy will be identified to classify and analyse the association between trust factors and its attributes. A proof concept prototype tool will be developed to realize the approach. Finally, this new approach is expected to enhance the acceptance of people towards application developed using Blockchain technology. Furthermore, this study will provide positive results in producing sustainable Blockchain application or software.
Naive Bayes Algorithm Implementation Based on Particle Swarm Optimization in Analyzing the Defect Product
Authors: Romli Ikhsan , Pardamean Toga , Butsianto Sufajar , Wiyatno Tri Ngudi , Mohamad Effendi bin 
Published: April 2021

Abstract
In the era of progressively more competitive industrial competition, especially in the manufacturing world, it is always required to develop the quality or quality of products and productivity. Each company is compete to win market share. One of the strategies carried out by the company is improving the quality of products and the production process conducted by the company. In the industrial world, product quality and productivity are the keys for success of the production process. Therefore, the purpose of this study is to analyze data for defective products at PT Mane Indonesia with the Particle Swarm Optimization (PSO) and Naïve Bayes Classifier method. The accuracy results using the Naïve Bayes algorithm get a value of 84.38% and an AUC value of 0.953. The results of the PSO-based Naïve Bayes algorithm get a value of 88.62% and AUC value of 0.945. Based on the research which has been performed by using Naïve Bayes based on PSO, it developed a contribution rate of 5,02% in predicting the defected products.
Bifurcation analysis of liquid films over low wettability surfaces
Authors: Suzzi Nicola , Croce Giulio 
Published: April 2021

Abstract
Thin liquid layer evolution over a solid substrate and film instability phenomena are involved in a number of engineering applications: in chemical absorption through structured packing, the corrugated sheets are covered by the liquid solvent, offering an enhanced interface surface between the solvent and the gas solute; in coating process, the liquid pattern influences the resulting coating quality; in condensation over finned dehumidifier, heat transfer performances are influenced by the evolving liquid layer, which may arrange as a droplets population or an ensemble of rivulets. Here, the evolution of a liquid layer flowing down an inclined plate bounded by lateral walls, which is the simplest configuration describing hydrodynamics inside structured packing, is numerically investigated. An in-house code, previously developed and largely validated in case of film instability and rivulet buildup, is used in order to solve governing lubrication equations. The full implementation of capillary pressure allows to simulate contact angles up to 60°. Film break is observed due to instability induced by lateral walls, if the imposed liquid flow rate exceeds a critical value, leading to the formation of a rivulet pattern. Fixing the size of the investigated physical domain, the number of observed rivulets, which strongly influences the resulting wetted area, is traced as a function of the flow characteristics (identified by the Bond number), the substrate wettability and the liquid properties; the corresponding bifurcation diagram is presented.
Multi-scale performance evaluation of ejector refrigeration systems
Authors: Besagni Giorgio , Croci Lorenzo , Cristiani Nicolò , Inzoli Fabio , Guédon Gaël Raymond 
Published: April 2021

Abstract
Despite the many advantages, ejector refrigeration systems have not been able to penetrate the market because of two prevailing reasons: low coefficient of performance and relevant influence of ejector operation on the performance of the whole system. Indeed, the performance of ejector refrigeration systems depends on the local flow phenomena occurring within the ejector. Thus, improving the performance of ejector refrigeration systems relies on the understanding of the fluid dynamic phenomena at the “component-scale” and on integrating such information at the “system-scale”. This paper contributes to the present discussion regarding the multi-scale modeling of ejector-based systems by proposing an integrated Computational Fluid Dynamic (CFD) - Lumped Parameter Model (LPM) ejector refrigeration system. In particular, ejector performances have been obtained by a validated CFD approach, whereas a LPM approach has modeled the refrigeration cycle. The refrigeration system’s performances, for different boundary conditions, have been evaluated, and the effects of the “local-scale” on the “system-scale” have been commented.
Numerical Investigation on the Thermal Control of Lithium Batteries for Electric Cars Using Metal Foams and Phase Change Materials
Authors: Buonomo B , Manca O , Menale F , Nardini S 
Published: April 2021

Abstract
Electric cars, in addition to representing an ecological solution for the serious problems of climate pollution due to the use of fossil fuels, can also represent a turning point in terms of renewal for the world economy with a product that in a short future will become a standard in all the advanced economies of the globe. One of the main problems of electric cars is given by the thermal control of their batteries, since, below and above a certain temperature range and also with the use of the air conditioning, they abruptly decrease the autonomy of the vehicle, creating inconvenience to the owners of such cars. The thermal control of lithium batteries for electric cars must therefore take into account both the problems of thermal increase due to the functioning of the battery itself, and the climatic conditions outside the vehicle which impact, if above a certain range, negatively on the performance of the automobile, decreasing both the autonomy and the battery life. In this study, an attempt is made to control both thermal aspects by trying to thermally isolate the battery from the vehicle’s external climate and by trying to control the temperature peaks due to the operation of the battery itself. For this purpose, in this study a two-dimensional model is considered to investigate numerically the thermal control of a lithium battery of a commercial electric car. The battery has the size of 8 cm x 31 cm x 67 cm and its capacity is equal to 232 Ah with 5.3 kWh. The thermal control is realized by means one internal layer of copper foam and paraffin, placed around the battery, and a more external paraffin layer. The external surfaces are cooled by an air flow. The governing equations are solved by finite volume method using the commercial code Ansys-Fluent. Different cases are simulated for different thickness of the two layers and air flow velocity. The results, carried out for metal foam with different PPIs and porosities, are given in terms of temperature and liquid fraction fields, heat transfer behaviors such as surface temperature profiles as a function of time and temperature distributions along the external surface of battery for the different cases.
Parametric CFD analysis of the setting data on evaluation of the Safe Egress conditions in case of fire using FDS
Authors: Assunta Andreozzi , Nicola Bianco , Marilena Musto , Giuseppe Rotondo 
Published: April 2021

Abstract
The CFD simulation allows to simulate fire scenario to evaluate parameters influencing Safe Egress. The essential prerequisites to CFD simulations to assure realistic fire conditions of high quality and reliability are the knowledge of fire parameters, such as ignition time and Heat Release Rate of the items involved in the combustion process. Sometimes, the thermo dynamical parameters such as density, thermal conductivity, thermal capacity are not well known or although experimentally measured they are affected by an uncertainty interval; this means that there is a range of values which can influence, significantly, the ignition time and HRR of the combustible materials. The main aim of the present work is to evaluate, by means CFD case study, the influence of uncertainties of input data on the evaluation of environmental conditions for the public building Safe Egress.
Direct steam condensation at sub-atmospheric pressure: experimental tests and similitude analysis
Authors: Pesetti A , Marini A , Giambartolomei G , Lazzeri R , Raucci M , Sarkar B , Olcese M , Aquaro D 
Published: April 2021

Abstract
This paper deals with experimental and theoretical analyses of the steam direct condensation at sub-atmospheric pressure. These operation conditions occur in the Vacuum Vessel Pressure Suppression System (VVPSS) of ITER Nuclear Fusion Reactor. This safety system permits to manage the Ingress of Coolant Event (ICE cat. IV) accident condition, postulated to occur in the ITER Vacuum Vessel (VV) as a consequence of the rupture of the shielding blanket cooling piping or the rupture of the divertor cassette piping.
Experimental tests of steam direct condensation at sub-atmospheric pressures in a 1:22 scale facility were performed at the laboratory Guerrini of DICI-University of Pisa. Presently a full-scale facility is being building at DICI. This paper illustrates the similitude analysis elaborated to scale up the experimental results obtained in the reduced scale facility. The main variables which influence the steam direct condensation were analyzed and the relative scale laws determined. CFD numerical simulations of direct steam condensation in the actual geometry and in a vessel of equal volume permitted to verify some of the assumptions on which the scale laws are based. Scaling studies were first performed in order to calculate the transient of steam mass flow rate occurring during the ICE IV event in the scale apparatus, starting from the thermal hydraulic studies performed at ITER and successfully compared with the experimental results carried out in scaled apparatus. This confirmed the suitability of scale laws and in the same time the capability of the VVPSS to condense the injected steam at sub-atmospheric pressure, matching the safety goal to reduce the system pressurization.
A 0D-3D approach for numerical analysis of waste to energy plants: a case study
Authors: Arpino F. , Cortellessa G. , Canale L. , Dell’Isola M. , Ficco G. , Moretti L. , Zuena F. , Rinaldi F. 
Published: April 2021

Abstract
In this paper the authors present a 0D-3D approach for numerical modelling of a waste-to-energy plant located in Italy in different operating conditions. This innovative methodology combines a 0D lumped parameters model, able to describe the processes of solid and gaseous combustion and the heat transfer within the first radiant channel, with a detailed 3D CFD simulation of the thermo-fluid-dynamic field within the plant combustion chamber. Results from the 0D model allow the definition of input data and boundary conditions for detailed 3D CFD simulation of the thermo-fluid-dynamic field within the plant combustion chamber. In this way, the T2S temperature can be determined according to actual definition of European legislation. The developed numerical tool is generally applicable to any waste-to-energy plant, and is here applied for the characterization of different operating conditions of an Italian WTE plant. The analysis allows the verification of the constraints imposed by the European legislation on the temperature of the combustion products and the identification of any issues related to the plant operation. In order to demonstrate the performance of the proposed numerical modelling approach, in this paper the authors present and discuss the results obtained by applying the model to one day-averaged operating condition of a WTE plant in Italy. Input parameters are obtained from available measurements and numerical results are validated against experiments showing a good agreement. Data and results in this paper are presented in a normalized form for confidentiality.
Effects of Telmisartan on Myocardial Protein Profiles in Hypertensive Rats
Authors: Feng Yu , Zhou Man-li , Wang Jian-zhang , Zhang Jia-qi , Qian Shu-le , Jian Wei-xiong 
Published: April 2021

Abstract

Background
To investigate the effects of telmisartan on the protein profiles of the left ventricular myocardium in spontaneously hypertensive rats (SHR).

Methods
Sixteen SHR were randomly divided into control and telmisartan treatment groups. Rats were treated with sterile water (10 ml/kg) or telmisartan (4.33 mg/kg) by gavage for 12 weeks. Wistar-Kyoto (WKY) rats treated with sterile water (10 ml/kg) as controls. At the end of 12 weeks of control or telmisartan treatment, rats were sacrificed, and hearts were collected for protein preparations, isotope labeling, and mass spectrometric analysis.

Results
In total, there were 23 differentially expressed proteins in the left ventricular myocardium between control and telmisartan treatment groups in SHR. Compared with the telmisartan group, the upregulated proteins in the SHR were dual-specificity mitogen-activated protein kinase kinase 3-like, transgelin, and haptoglobin subtype 2. The downregulated proteins in the SHR were as follows: von Willebrand factor (fragment), kininogen 1, small ribonucleoprotein-related protein, fibrinogen beta chain, protein mass 3 (fragment), proteasome 26s, heat shock protein 27-related protein 1, tenascin X, fibronectin subtype 2, transferrin receptor protein, platelets 1, cathepsin L1, complement factor B, isoform CRA_b, fibrinogen isomer, immunoglobulin heavy chain (γ polypeptide), and α 1 antiprotease.

Conclusions
Telmisartan differentially regulates myocardial protein expression in hypertensive rats including heat shock protein 27, fibrinogen, fibronectin, proteasome 26s, and transgelin, as well as proteins in biochemical, metabolic, and signal transduction pathways. These changes in protein expression may contribute to the antihypertrophic effects of telmisartan in hypertension.
Arabinogalactan in the side chain of pectin from persimmon is involved in the interaction with small intestinal epithelial cells
Authors: Gotoh Saki , Naka Tomomi , Kitaguchi Kohji , Yabe Tomio 
Published: April 2021

ABSTRACT
Pectin in Diospyros kaki (persimmon) is a complex polysaccharide and is classified as a dietary fiber. Pectin is characterized by the presence of side chains of neutral sugars, such as galactose residues; however, the structure and properties of these sugars vary greatly depending on the plant species from which it is derived. Here, we report the structural features of pectin extracted from persimmon. The polysaccharide was low-methoxy pectin with a degree of methyl esterification &lt;50% and ratio of side chain galactan to arabinan in the rhamnogalacturonan-I region of pectin of 3-20. To investigate the physiological function of pectin from persimmon, we performed a coculture assay using Caco-2 cells. As a result, it was shown that the proliferation of undifferentiated Caco-2 cells was promoted, and further, the importance of arabinogalactan among the pectin structures was shown.
Diverse relationships between metal ions and the ribosome
Authors: Akanuma Genki 
Published: April 2021

ABSTRACTThe ribosome requires metal ions for structural stability and translational activity. These metal ions are important for stabilizing the secondary structure of ribosomal RNA, binding of ribosomal proteins to the ribosome, and for interaction of ribosomal subunits. In this review, various relationships between ribosomes and metal ions, especially Mg2+ and Zn2+, are presented. Mg2+ regulates gene expression by modulating the translational stability and synthesis of ribosomes, which in turn contribute to the cellular homeostasis of Mg2+. In addition, Mg2+ can partly complement the function of ribosomal proteins. Conversely, a reduction in the cellular concentration of Zn2+ induces replacement of ribosomal proteins, which mobilizes free-Zn2+ in the cell and represses translation activity. Evolutional relationships between these metal ions and the ribosome are also discussed.
Chemo-enzymatic synthesis of Lacto-N-biose I catalyzed by β-1,3-galactosidase from Bacillus circulans using 4,6-dimethoxy-1,3,5-triazin-2-yl β-galactopyranoside as a glycosyl donor
Authors: Ohnuma Takayuki , Taku Tomoki , Nagatani Takeshi , Horii Atsushi , Imaoka Shun , Tanaka Tomonari 
Published: April 2021

ABSTRACT
Chemo-enzymatic synthesis of lacto-N-biose I (LNB) catalyzed by β-1,3-galactosidase from Bacillus circulans (BgaC) has been developed using 4,6-dimethoxy-1,3,5-triazin-2-yl β-galactopyranoside (DMT-β-Gal) and GlcNAc as the donor and acceptor substrates, respectively. BgaC transferred the Gal moiety to the acceptor, giving rise to LNB. The maximum yield of LNB was obtained at the acceptor : donor substrate ratio of 1:30.
MUTANT ENRICHMENT IN THE COLONIAL ALGA, EUDORINA ELEGANS
Authors: Toby A L , Kemp C L 
Published: April 2021

ABSTRACT
An enrichment procedure has been developed that results in at least a 200× increase in mutation frequency in the colonial alga, Eudorina elegans. A period of nitrogen starvation followed by treatment with 8-azaguanine results in the death of wild-type cells and the maintenance of mutants. N′-nitro-N-nitro-soguanidine-induced acetate, p-aminobenzoic acid and reduced nitrogen requiring mutants have been isolated by this procedure.