bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the ambient air environment of the steam power plant industry
Authors: Rizal Reda 
Published: May 2021

Abstract
Steam power plants is one industry that produces electrical energy needed by the community, electrical energy is needed to improve the welfare of the wider community. The negative environmental impacts caused by this industrial activity include the impact of environmental pollution, both the physical-chemical, biological, economic-socio-cultural and public health environment living around the industrial activity site. The negative impact is mainly caused by the use of coal fuel which emits entropy which can affect the quality of the environment. In this research, we want to know the negative impact of the activities of the steam power industry on ambient air quality around the location of the activity. The experimental research method was conducted to determine the effect of coal use on the quality of the ambient air environment quantitatively. Methods of environmental quality analysis using laboratory tests and matching test results with national quality standards. Possible cause of the low levels of entropy in the steam power plant industry is the suitability of the type of electric power steam engine that is still classified as the latest technology with low rank coal used by the industry.
Interpretation of Food Crop Growth Progress Visualization and Prediction of Drone Based Production Estimates Based on Histogram Values in Government Areas-Case Study of Merauke Regency
Authors: Marsujitullah  , Manggau Fransiskus X. , Parenden Daniel 
Published: May 2021

Abstract
Farming is one of the pioneers of national development that plays an important role, especially Merauke Regency, which is planned to be the area for national food self-reliance in agribusiness (Indonesian). Government is currently very difficult. Will see the latest developments in the growth of food crops in the region, starting at the village level / kelurahan to the national level. These kindergartens growth in the crop until harvest time, and several obstacles to failure of crops from pests and environmental conditions such as flooding. Production estimates are easy if this information is available. The research aims to be able to show the status of the land in the form of different colors by the histogram method, plant information and the type of pest disease, while the retrieval of data is carried out using the photographic images. The long-term proficiency based on the coordinates through the GPS found on the Dji-Phantom Phantom device can also be used to calculate the area of land as the main parameters and requirements of the seed, the condition of the land and restrictions b. The failure of crop cultivation as a supporting parameter to determine the assessment of plant production by means of liver methods.
Physicochemical Properties of Black Soygurt Made from Black Soybeans (BS) and Black Sticky Rice (BR)
Authors: Winarti S , Sarofa U , Islami B Y 
Published: May 2021

Abstract
Back soygurt is a food product fermented by black soy milk using the bacteria Streptococcus thermophillus and Lactobacillus bulgaricus commonly used in the process of making yogurt. To improve the black color of the soyghurt produced, it was added black sticky rice extract. The objective of this study was to investigate the effect of the proportion of black soybean extract (BS) with black sticky rice extract (BR) and fermentation time, on physicochemical characteristics in black soygurt. This study uses a completely randomized factorial design consisting of two factors. The first factor was the proportion of black soybean extract and black sticky rice extract which consists of three levels (50:50, 60:40, and 70:30). Factor II was fermentation time which consists of 3 levels (10 hours, 12 hours and 14 hours). The data obtained were analyzed with ANOVA, and further tests with Duncan. The best treatment was the proportion of black soybean extract: black sticky rice extract (50:50) with 14 hours fermentation time. The characteristics of black soygurt from this treatment were total LAB 10.63 CFU/ml; acidity (pH) 4.23; intensity of color L* 58.28; soluble protein 1.58%; total anthocyanin 1.61 mg/100g; antioxidant activity 19.55%.
Particle Swarm Optimization to Solve Unrelated Parallel Machine Scheduling Problems
Authors: Pulansari F , Triyono M D R 
Published: May 2021

Abstract
The problem of unrelated parallel machines scheduling is very important in this industry. Scheduling is useful to save company resources, one of which is in terms of time. With minimization of completion time, companies can fulfill it quickly and precisely. Focuses on unrelated parallel machine scheduling problems that depend on sequences aimed at minimizing total turnaround time by considering setup time. This paper presents how unrelated parallel machine scheduling using the particle swarm optimization algorithm approach. The experimental results obtained indicate the optimum value.
Gating System Measuring of Sandcasting
Authors: Muzakki H , Millaily I , Winandar H 
Published: May 2021

Abstract
Sandcasting is the oldest casting method and valuable however it has still some problems. This study discussed a mathematical approach in the gating system design. A gating system of a Connecting Road from cast iron was used as an object this study. This study measured fluid flow, a gating position in a mold, pouring, spur basin, pouring time, and riser. Solidification time affect volume and surface area, so in this study we adjusted the height of riser based of 1.2 up to 2 as riser diameter. Results of mathematic analysis show that pouring time was 3 sec, dimension of runner as 1.2 cm as High, 1.2 cm of Large, 2.06 of Pressure. The other dimensions were 2.9 cm of High spur, 5.5 cm of Pouring basin, 3.15 cm2 of large of spur with 7.56 cm3 as volume total, and weight total of gating system and riser 0.285 kg. The metal fluid was poured in a molding at 2.83 sec. Dimensions of gating were gotten the 0.42 cm2 from the first in gate and 0.63 cm2 for second in gate.
Security and Privacy Issues in Location Dependent Services for Mobile Communication: A Synergistic Review
Authors: Chaubey Chitrangada , Raj Swapnil , Kaswan Suresh 
Published: May 2021

Abstract
With a growing rate of mobile usage in the current networking era, mobile devices have been adopted widely. With mobile proliferation, location awareness is gaining huge insights in mobile and communication technologies for which, information subsystem has to be maintained on geo-located systems. Location Dependent Services (LDS) fetch relevant information from the geo-located information subsystems and deliver it to the user based on their location preferences and choices. Despite having the desirable features and services, LDS does not provide satisfactory protection to the user’s geographic location. Preservation of location has become one of the utmost concerns in mobile network communication. In this paper, we will go through the security & privacy challenges for LDS in mobile networks. Precisely, this paper covers the cryptographic approaches and technologies to enhance privacy to promote location privacy in mobile network communication. The different approaches covered in the review are first compared and then the further research areas have been identified as well as concluded.
Optimization of Fused Deposition Modelling process parameters using Teaching Learning Based Optimization (TLBO) algorithm
Authors: Alam Nadeem , Alam Mahfuj , Ahmad Shafi 
Published: May 2021

Abstract
Fused Deposition Modelling (FDM) is one of the most commonly used Additive Manufacturing (AM) techniques with a wide range of applications in various modern manufacturing industries. It is widely employed to fabricate prototypes where immense surface finish is required. Furthermore, the literature suggests that process parameters such as nozzle temperature (NT), nozzle diameter (ND), and feed rate (FR) have a significant influence on the surface finish achieved in an FDM process. Hence, this work intends to examine the effect of process parameters viz. NT, ND, and FR on the side and top surface roughness of poly-lactic acid (PLA) sample fabricated through FDM process. Experiments are designed as per Taguchi’s L18 orthogonal array and a population-based algorithm identified as Teaching Learning Based Optimization (TLBO) algorithm is used to determine the optimal process parameter settings for optimum side and top surface roughness simultaneously. The results of the study reveal that NT of 493 K, ND of 0.4 mm and FR of 60 mm/s results in optimum side and top surface roughness simultaneously.
Effect of varying road profile amplitude on the behavior of a nonlinear quarter car model
Authors: Paliwal Vipul , Dobriyal Ritvik , Kumar Pushpendra , Manral Avi Raj 
Published: May 2021

Abstract
Vehicle suspensions are one of the most important equipment in an automobile which impart comfortable ride to the passengers. As the passive suspensions are most widely used in the automobiles, therefore this paper deals with the investigations of the suspension behavior at the different values of the road profile amplitude. The effects on the frequency plots are studied by using fast Fourier transform functions. The phase plots are also drawn to understand the periodic and quasi periodic transformations at the different values of road profile amplitude. It is seen that the natural frequency and its harmonics in the spectrum dies out with the rise in the values of the road profile amplitude and also the increase in the strength of forcing is observed. The in harmonics obtained is seen to be withdrawn with the increase in the road profile amplitude.
Implication of Renewable Energy in Sustainable Development in India: Future Strategy
Authors: Pachar Sunita , Singh Rubee , Wahid Mohd Atif 
Published: May 2021

Abstract
Renewable energy (RE) can play an important role in Sustainable Development in India. India is a growing economy, and it would need an assured supply of 3–4 times than the whole energy consumed today. This research paper discussed about RE sources, drivers, challenges and policies. It can be concluded from review of literature and other information provided in paper that RE have a huge potential in India and with latest technologies use it can fulfill India’s energy demand in future. Quality of life can be improved with the help of RE. It is predictable that large number of domestic jobs can be created in future in green energy and RE. The study found that RE can reduce environment pollution issues, carbon emission and scarcity of nonrenewable energy sources .RE has a positive relation with economic growth, job creation and welfare. This paper recommends some suggestions for strategic policy in sustainable energy sources.
3D FEM simulation on Deformation and Strain analysis for grain refinement of Mg Alloy passed through ECAP
Authors: Kapoor Arshit , Wahid Mohd Atif , Goel Pankul , Agarwal Krishna Mohan , Mohan Utkarsh 
Published: May 2021

Abstract
Equal Channel Angular Pressing (ECAP) is a cutting-edge Severe Plastic Deformation (SPD) process for grain refining of materials up to ultra-fine or nanostructured standards, resulting in superior mechanical properties. To consider the effect of each processing parameter on the end results, computer simulation is one of the better alternatives to real ECAP deformation. The alloys used in this study are AZ61 magnesium alloy, which is a difficult material to work with in automotive applications. The ECAP process is subjected to 3D FEM simulation using ANSYS software in order to better understand the process/die design parameters. 90° channel angles and corner angles 20° i.e the best combination suggested by experimental studies were used in the simulation. For a single ECAP pass, the ECAP phase was simulated. Extrusion load, established stresses, effective strain, and temperature variation on the processed material were all noted in the results. The minimum channel angle produces the highest temperature profile on the material, developing maximum stress and strain at the deformation zone, according to the observed results. Furthermore, the results obtained using such computational techniques show that the shear strain decreases as the channel and corner angle increase.
Optimization of turning process variables for surface integrity using taguchi technique
Authors: Kumar Gaurav , Tomer Ankit , Kumar Mukesh , Goel Pankul , Singh Om Prakash 
Published: May 2021

Abstract
The selection of proper machining parameters is crucial for the production of a product of desired quality. The Taguchi method will accomplish this. For this work, using tin coated tungsten carbide method, SS-321 work parts are placed onto CNC lathe machine. Stainless steel machining (SS-321) has issues such as worn-out tool and high roughness to the surface. The key reasons for choosing SS-321 grade as workpiece material is the issue of the machining process related with super finishing of Stainless Steel. For this work twenty-seven experiments were carried out on stainless steel (SS-321), as per Taguchi’s L27 orthogonal array. Data analysis was carried out using Taguchi response table method and ANOVA. Following this method, a confirmation experiment was performed to assess the surface integrity change. Turning machining parameter levels to reduce surface roughness were A1B3C1 i.e., depth of cut 0.5 mm, cutting speed of 120 m / min and feed of 0.2 mm / rev. ANOVA table represented the parameters which mostly affected the surface roughness with 76.27% contribution of depth of cut which is maximum followed by feed (7.72%), and effect of speed (3.48%) is insignificant. The research also shows that this approach can efficiently boost the surface finish of the turning process.
Real-time monitoring of volatiles and particles emitted from thermoplastic filaments during 3D printing
Authors: Wojnowski Wojciech , Marcinkowska Renata , Zabiegała Bożena 
Published: May 2021

Abstract
The proliferation of consumer-grade three-dimensional (3D) printers using fused deposition, also known as fused filament fabrication, has given rise to concerns over the exposure of users to potentially harmful substances. Thermoplastic filaments made of different polymers are extruded through a heated printer nozzle and deposited layer by layer on a build platform to form the printed object. This process leads to the emission of both particles and gases, in particular volatile organic compounds (VOCs). While the emission of airborne particulate matter during 3D-printing has been relatively well researched [1], this is not the case with the monitoring of the associated emission of VOCs, and so we are far from understanding the emission profile of 3D-printers as a whole. The main reason for that is the difficulty with sampling the emitted volatiles with sufficient time resolution to investigate e.g. the effect of rapid heating of the nozzle, and so the available data mostly describes either the total emission of particular VOCs during printing, or the time-resolved emission of total VOCs, without the determination of particular compounds [2,3]. In order to bridge this gap, we have previously demonstrated that proton transfer reaction mass spectrometry (PTR-MS) can be used to monitor the emission of volatiles during 3D-printing in real-time, both qualitatively and quantitatively [4]. Here, we propose to combine this approach with the concurrent real-time measurement of the corresponding emission of particles to obtain a more detailed understanding of the profile of pollutants generated during 3D-printing and the factors which determine this process.
Influence of Compacting Pressure on the Dielectric Properties of La-modified Bismuth Ferrite Multiferroics Prepared by Rapid Liquid-phase Sintering Method
Authors: Song Chunrui , Liedienov N.A. , Pashchenko A.V. , Tatarchuk D.D. , Didenko Y.V. , Levchenko G.G. 
Published: May 2021

Abstract
Structure, perovskite phase formation, chemical and phase composition, microstructure, morphology and dielectric properties of the single-phase lanthanum-modified bismuth ferrite multiferroic ceramics obtained by the rapid liquid-phase sintering method under different compacting pressures have been investigated using X-ray diffraction, scanning electron microscopy, energy-dispersive X-ray spectroscopy, thermogravimetry/differential thermal analysis and dielectric spectroscopy methods. The temperature and time for an express preparation of the single-phase Bi0.9La0.1FeO3 ceramics with formation of a perovskite structure have been found out. With an increase in the compacting pressure P from 100 to 1100 MPa, the dielectric constant ε′ changes by ∼25% and ∼80% in the low-frequency and ultra-high frequency ranges, respectively. In the low-frequency range, all samples depending on the pressure P demonstrate excellent dielectric behavior with a stable dielectric constant and quite low dielectric loss that make these samples perspective for their possible practical application in microelectronic and spintronic.
A Bayesian Inference Driven Computational Framework Applied for the Improvement of the Eurocode 2 creep model
Authors: Daou H , Raphael W , Geara F 
Published: May 2021

Abstract
Concrete creep, defined as the deformation of concrete under sustained load, can cause cracks in tensile members, redistribution of stresses over time in composite structures, loss of prestressing force in prestressed concrete elements, and excessive long-term deflection of structural members. The concrete creep coefficient is an important input in many calculations and analyses of reinforced concrete structures. Currently, the concrete creep coefficient has been predicted by many models such as the Eurocode 2 model. This study aims to improve the prediction of the Eurocode 2 creep coefficient model at long-term by implementing a correction coefficient into the model. The Northwestern University database is used and the correction coefficient is calculated using Bayesian inference. The accuracy and efficient of the proposed improvement and modification are demonstrated through statistical indicators.
Development of a model for predicting dynamic response of a sphere at viscoelastic interface: A dynamic Hertz model
Authors: Koruk H 
Published: May 2021

Abstract
A model for predicting the dynamic response of a sphere at viscoelastic interface is presented. The model is based on Hertz contact model and the model for a sphere in a medium. In addition to the elastic properties of medium and the size of sphere, the model considers the density of sphere, the density and viscosity of medium, and damping of oscillations of sphere due to radiation of shear waves. The model can predict not only the effects of the mechanical properties of medium, the physical properties of sphere, and the amplitude of excitation force on sphere displacement, but also the effects of these parameters on shift of resonance frequency. The proposed model can be used to identify the elastic and damping properties of materials, and to understand the dynamic responses of spherical objects at viscoelastic interfaces in practical applications.
Assessment of the models for predicting the responses of spherical objects in viscoelastic mediums and at viscoelastic interfaces
Authors: Koruk H 
Published: May 2021

Abstract
Spherical objects, such as bubbles and spheres, embedded in mediums and at viscoelastic interfaces are encountered in many applications, including the determination of material properties. This paper assesses the models for predicting the responses of spherical objects in viscoelastic mediums and at viscoelastic interfaces used in various applications. The models are presented very compactly, and evaluations are performed based on the analyses of the models for the spherical objects in viscoelastic mediums and at viscoelastic interfaces. First, the models for predicting the static displacements of spherical objects are presented and assessed. After that, the models for predicting the dynamic responses of spherical objects are presented and their dynamic behaviours are compared. Then, the models for the deformation of the medium around spherical objects and stress distribution are presented and evaluated. The models and evaluations presented in this study can be exploited in various applications, including biomedical applications.
Accuracy of Google Translate in translating the directions and counseling points for top-selling drugs from English to Arabic, Chinese, and Spanish
Authors: Cornelison Bernadette R , Al-Mohaish Sulaiman , Sun Yizhou , Edwards Christopher J 
Published: May 2021

Abstract

Purpose
A study was conducted to evaluate the accuracy of Google Translate (Google LLC, Mountain View, CA) when used to translate directions for use and counseling points for the top 100 drugs used in the United States into Arabic, Chinese (simplified), and Spanish.

Methods
Directions for use and common counseling points for the top 100 drugs were identified by 2 clinicians. This information was translated from English to Arabic, Chinese (simplified), and Spanish using Google Translate. Two nonclinician, bilingual native speakers of each language back-translated the Google Translate translation into English and determined if the sentence made sense in their native language. Two clinicians reviewed the back-translations to determine the clinical significance of each inaccurate translation.

Results
For the top 100 drugs, 38 unique directions for use and 170 unique counseling points were identified for translation. For the 38 directions for use, 29 (76.3%) of the Arabic translations were accurate, 34 (89.5%) of the Chinese (simplified) translations were accurate, and 27 (71%) of the Spanish translations were accurate. For the 170 counseling points, 92 (54.1%) of the Arabic translations were accurate, 130 (76.5%) of the Chinese (simplified) translations were accurate, and 65 (38.2%) of the Spanish translations were accurate. Of the 247 inaccurate translations, 72 (29.1%) were classified as highly clinically significant or potentially life-threatening.

Conclusion
Certified translators should be used to translate directions for use and common counseling points for prescription medications into Arabic, Chinese (simplified), and Spanish. Clinicians should be aware of the risk of inaccurate translation when Google Translate is used.