bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seidel energy of complete multipartite graphs
Authors: Oboudi Mohammad Reza 
Published: April 2021

Abstract
The Seidel energy of a simple graph G is the sum of the absolute values of the eigenvalues of the Seidel matrix of G. In this paper we study the Seidel eigenvalues of complete multipartite graphs and find the exact value of the Seidel energy of the complete multipartite graphs.
The confounding effect of interleukin-6 on apoptosis of MCF-7 cells through down-regulation of MMP-2/-9 mRNA expression
Authors: Celik Aybuke , Bakar-Ates Filiz 
Published: April 2021

Abstract

Objectives
Breast cancer is the second cause of death among women worldwide. In the last decades, the immunotherapy-based approaches have a growing importance in the treatment of breast cancer. Several studies have indicated the pleiotrophic effect of Interleukin-6 (IL-6) via targeting the membrane-bound or soluble receptors.

Materials and methods
Different concentrations of IL-6 were incubated for 24, 48, and 72 h in the breast carcinoma cell line (MCF-7). Cell proliferation, apoptotic cell population, gene expression by RT-PCR were measured, and the effect of IL-6 treatment on cell morphology was observed.

Results
In the present study, IL-6 treatment of MCF-7 cells inhibited cell proliferation in a dose and time dependent manner. The IL-6 treatment was found most effective on 24 h. The viable cell amount was decreased to 70.07 ± 4.85% at 100 nM treatment with a significant alteration on cell morphology, simultaneously in the 24 h of treatment. IL-6 treatment has also increased the early apoptotic cell population % in MCF-7 cells significantly (p<0.0001). The RT-PCR analyses have shown that the apoptotic effect of IL-6 was related to the decrease at MMP-2/-9 mRNA levels (p<0.0001).

Conclusions
In conclusion, IL-6 treatment may inhibit cell proliferation and induce apoptosis of MCF-7 cells in a dose-dependent manner through down-regulation of MMP-2/-9.
Prediction of compressor nominal characteristics of a turboprop engine using artificial neural networks for build standard assessment
Authors: Jagadish Babu C. , Samuel Mathews P. , Davis Antonio , Mishra R. K. 
Published: April 2021

Abstract
Compressor characteristics of a single spool turboprop engine have been studied in this paper. It has been brought outhow constant power lines in the compressor characteristics of these compressors make them different from others. Constant speed lines and constant power lines have also been highlighted. A novel method of modeling of compressorof a single spool turboprop engine has also been studied in this paper. Application of neural networks in prediction of compressor characteristics has been investigated. Multilayer Perceptron feed forward neural network has been considered with different transfer functions to assess the potential capability of network in extrapolation and interpolation. Effectiveness of prediction with and without engine bleed valve open and anti-ice valve open situations have been assessed. Network Predictionshas been compared with engine test data to assess the accuracy of prediction and to quantify the build variation in the manufacture of engines. Capability of network with limited test data to predict the complete performance has also been assessed and presented in this paper.
Single-crystal structures of A
2SiF6 (A = Tl, Rb, Cs), a better structure model for Tl3[SiF6]F, and its novel tetragonal polymorph
Authors: Rienmüller Julia , Bandemehr Jascha , Kraus Florian 
Published: April 2021

Abstract
We report on the syntheses and single-crystal structure determinations of the compounds A
2SiF6 (A = Tl, Rb, Cs). In comparison to the previous powder-based structure models we achieved more precise atom positions and distances. The compounds crystallize in the K2PtCl6 structure type, space group Fm

3
‾

$&#x203e;{3}$

m (No. 225, cF36) with a = 8.4749(10) Å, V = 608.7(2) Å3, Z = 4 at T = 100 K for Tl2SiF6, a = 8.3918(10) Å, V = 591.0(2) Å3, Z = 4 at T = 100 K for Rb2SiF6, and a = 8.8638(11) Å, V = 696.4(3) Å3, Z = 4 at T = 200 K for Cs2SiF6. For the compound Tl3[SiF6]F we present a previously unknown tetragonal modification and correct the crystal structure of its trigonal modification to hexagonal. The tetragonal one crystallizes in the (NH4)3[SiF6]F structure type, space group P4/mbm (No. 127, tP22) with a = 8.0313(8), c = 5.8932(6) Å, V = 380.13(7) Å3, Z = 2, T = 298 K, and the crystal structure of the hexagonal modification is best described in space group P63
mc (No. 186, hP22) with a = 7.8248(4), c = 6.8768(4) Å, V = 364.64(4) Å3, Z = 2, T = 100 K.
Structural characteristics of fixed-odds sports betting products
Authors: Newall Philip W. S. , Russell Alex M. T. , Hing Nerilee 
Published: April 2021

AbstractBackground and aimsA literature exists on the structural characteristics of electronic gambling machines (EGMs), which are design innovations that can promote spending excessive time and money on these games. Fixed-odds sports betting products, where bettors place sports bets against a bookmaker, have also seen significant innovations in recent years. Despite some differences between these gambling products, similar structural characteristics could also be relevant to sports betting. The aim was to review previous research on contemporary fixed-odds sports betting products, and to identify whether structural characteristics from the EGM literature are also relevant to sports betting.MethodsStructural characteristics uncovered by two influential reviews of EGMs were identified, and their relevance to fixed-odds sports betting products discussed via a narrative review.ResultsStructural characteristics of payout interval and potential betting frequency (in-play betting), multiplier potential (accumulators, complex bets, multis), win probability and payout ratio (all bets), bettor involvement (custom sports betting products, cash out), skill required (all bets), and near-misses (accumulators, complex bets, multis) were all identified in modern fixed-odds sports betting products.Discussion and conclusionsFixed-odds sports betting products have increasingly incorporated structural characteristics previously found in EGMs. Future research could further assess the extent to which these structural characteristics contribute to fixed-odds sports bettors spending excessive amounts of time and money while betting. These findings can help guide further sports betting research, contribute to an improved understanding of the potential universality of gambling product design, and inform policy.
PENGARUH PARTISIPASI KOMITE DAN PENGALOKASIAN DANA TERHADAP PENINGKATAN MUTU PERPUSTAKAAN
Authors: Gintulangi Sabriana Oktaviana , Arsana I Kadek Satria 
Published: April 2021

Penelitian ini bertujuan untuk mengetahui apakah ada pengaruh antara partisipasi komite dan pengalokasian dana terhadap peningkatan mutu perpustakaan di SMP N 1 Kabila Kab. Bone Bolango. Adapun fokus masalah dari penelitian ini adalah untuk mengetahui (1) apakah ada pengaruh yang positif antara partisipasi komite dengan peningkatan mutu perpustakaan , (2) untuk mengetahui apakah ada pengaruh yang positif antara pengalokasian dana terhadap peningkatan mutu perpustakaan dan (3) untuk mengetahui apakah ada pengaruh yang signifikan antara partisipasi komite dan pengalokasian dana terhadap peningkatan mutu perpustakaan di SMP N 1 Kabila. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan jumlah sampel 88 responden. Instrumen yang digunakan berupa angket. Populasi dalam penelitian ini adalah sebanyak 807 orang yang terdiri dari seluruh siswa Di SMP 1 Kabila. Sampel yang digunakan adalah random sampling dimana pengambilan sample dilakukan secara acak, tanpa memperhatikan strata atau tingkat dalam angota populasi. Berdasarkan hasil analisis data nilai adalah -t hitung (-1,873) > -t tabel(-1,992) artinya parisipasi komite tidak berpengaruh pada peningkatan mutu perpustakaan. Kemudian pengalokasian dana t hitung (4,816) > t tabel (1,992) artinya pengalokasian dana berpengaruh positif terhadap peningkatan mutu perpustakaan. Pengujian bersama-sama untuk variabel X1, X2 dan Y f hitung > f tabel (12,754 > 3,10) artinya antara partisipasi komite dan pengalokasian dana terhadap peningkatan mutu perpustakaan berpengaruh secara signifikan.
Stability analysis of Automatic Voltage Regulator using Fractional Order Controller
Authors: Et. al. K Muralidhar Goud, 
Published: April 2021

We aim to design a fractional order robust control system. It is an advanced model of classic PID controller whose order will be non-integer.PID controller that we generally use has many advantages and disadvantages with respect to the disadvantages like, it doesn’t give accurate values of constants, exact values of the time domain parameters as well as frequency domain parameters of the control system and we have more robust problem. Wearable electronic based an automatic voltage regulator can automatically preservesthe terminal voltage of generator at a fixed value under varyingly load and operating temperature. AVR controls output by sensing the output voltage at a power-generating coil and compares it to a stable reference. The combination of fractional order controller with an automatic voltage regulator is proved to be better than conventional controllers.
Advanced Driver Assistance System using Convolutional Neural Network
Authors: Et. al. Geetha, 
Published: April 2021

Road sign recognition is an essential task in driving process to drive safely and to avoid accidents. Road sign recognition is not a simple task as there are many unfavorable factors such as bad weather, illumination, physical damage etc. The purpose of Road sign is to inform drivers and autonomous vehicles about current state of road and also provide them other important data for navigation. This paper aims to build Convolutional neural network (CNN) model to recognize road signs and to inform the drivers in advance for safe driving. The advantage of using Convolutional neural network (CNN) is its potential to build an internal representation of two-dimensional images. This enables the model to learn scale and position variant structures in the data, which is required when working with images. The proposed system achieves an accuracy of 87%.
Mathematical modelling of dominant features identification for tool wear monitoring in hard turning by using Acoustic emission
Authors: Et. al. D. Kondala Rao, 
Published: April 2021

In machining processes generally tool wear will be obtained with varying proportions. In the present work, the number of dominant features, which affect the tool wear, are studied and computed on Inconel 718 as work material with varying hardness (51, 53&55HRC) levels. The condition monitoring was done on three tools namely uncoated carbide, coated carbide and ceramic tools. By using L9 Taguchi’s orthogonal array, speed, feed, depth of cut (DOC) and hardness are considered as input operating parameters. By indirect method of Acoustic emission (AE) technique, signals were collected using Lab VIEW software and dominating features were calculated using the MATLAB. The features were trained in neural network and got the relation between tool wear, surface roughness, temperature and features. The simulated data was analyzed by Grey relational analysis (GRA) and the dominating features ranking sequence was obtained for all the three tools and same ranking was also observed with ANOVA. Since there are no common influencing features among these three tools and hence further investigation continued with statistical mathematical modeling. With Akaike information criterion a mathematical model is developed to find the dominant features. By mathematical modeling the sequence in evaluating tool wear was found to be Kurtosis, Frequency, Variance, Mean and RMS and also a relation between tool wear and dominant features was developed which can be readily used by layman for calculating the tool wear.
Mobile Time Tracker in Transportation Service: A Survey
Authors: Et.al Chee Ling, Thong 
Published: April 2021

Bus delay in transportation service is a common issue to be addressed. This issue is verified in a preliminary study conducted earlier among the bus riders. With the proliferation of mobile technology particularly in mobile application development, transportation service providertoday is able to address delay issue usingmobile application. In this study, a GPS based mobile application (App) is proposedto estimatetime arrival (ETA) of buses and an user acceptance test is used to verify the usability of the App. 76 bus riders have completed bus App testing and follow by a survey. The overall results show mobile time tracker is usable and able to solve issue of bus delay and reduce long waiting time. In future work, mobile time trackers associate with other ETA prediction models will be explored and issues such as ETA accuracy will also be addressed.
Determinates of Foreign Direct Investment: An Empirical Study on India
Authors: Et.al Sourabh Singha Roy 
Published: April 2021

Now a days, Foreign Direct Investment (FDI) is a buzz word for the developing countries not only to strengthen their Balance of Payment (BOP) account but also to accelerate overall economic growth of the countries. It also helps to generate employment in the country with new knowledge and knowhow. Naturally, it is very important for the policy makers of the respective countries to identify the key determinants which attracts more FDI and fine tune their policies to take comparative advantage in the competitive world. In this study the researchers tried to identify the important determinants of inflow FDI in Indian context. It is observed that some prominent determinants are existing to attract more FDI. However, government policies and restrictions are impediments to such inflow and these are regarded as moderating variables in this study. The statistical result also shows that services sectors and computer hardware and software are the significant areas where determinants of Foreign Direct Investment (FDI) inflows in Indian economy growth
A Qualitative Analysis of Factors Affecting the Successful Completion of Postgraduate Studies
Authors: Et.al Abdul Munir Ismail 
Published: April 2021

The study aims to highlight the current learning approaches used by postgraduate students to complete their postgraduate studies on time, as studies have shown many students have failed to finish their studies as planned. In particular, this study focuses on factors and methods that are perceived to be most effective by students to help them complete their studies on time.
Methodology: Thisstudy was based on a qualitative approach involving semi-structured interviews. The study sample consisted of 14 postgraduate students and one lecturers as respondents. The research instrument was based on interview questions to elicit relevant information on their demography and learning practices. Data were collected and organized into four themes and were subsequently analyzed descriptively. Findings: The findings showed that face-to-face discussions were the most popular practice adopted by the respondents. The findings also showed several factors had significant impacts on student learning, such as interpersonal relationships between students and supervisors, commitment, financial commitment, and moral support, which needs to be taken into account in helping students to complete on time. Significance: The research findings can inform all the stakeholders, notably students, supervisors, and administrative officers, factors that have profound impacts on postgraduate students’ efforts to graduate on time.
Interventions in Addressing Gender Issues in the Classroom
Authors: Et. al. Gretchen Gaye C, 
Published: April 2021

Gender equality is the number five agenda of the Sustainable Development Goal, where its primary goal is providing women and girls with equal access to education. Up to this day, students experience gender issues, inequality, and bias inside the classroom. This research looked into the extent of observation on gender issues inside the classroom to eliminate bias, discrimination, and to achieve a comfortable classroom environment. More specifically, this research aimed to develop an intervention to address gender and development issues in the classroom. A Quantitative method of research was implemented using descriptive statistics to analyze data. Questionnaire was used to answer the specific problems; interview was conducted to validate the results of the study. Random sampling technique identified the respondents of the study from selected colleges and universities in the Cordillera Region. The extent of intervention programs, policies, and activities for teachers are moderately observed.
Analysis of Dynamical Behavior for Epidemic Disease COVID-19 with Application
Authors: Et. al. Dr. Maysoon M. Aziz, 
Published: April 2021

In this paper, we will use the differential equations of the SIR model as a non-linear system, by using the Runge-Kutta numerical method to calculate simulated values for known epidemiological diseases related to the time series including the epidemic disease COVID-19, to obtain hypothetical results and compare them with the dailyreal statisticals of the disease for counties of the world and to know the behavior of this disease through mathematical applications, in terms of stability as well as chaos in many applied methods. The simulated data was obtained by using Matlab programms, and compared between real data and simulated datd were well compatible and with a degree of closeness. we took the data for Italy as an application. The results shows that this disease is unstable, dissipative and chaotic, and the Kcorr of it equal (0.9621), ,also the power spectrum system was used as an indicator to clarify the chaos of the disease, these proves that it is a spread,outbreaks,chaotic and epidemic disease .
The Effects Of Antimicrobial And Physical Properties Of Denture Soft Reline Material
Authors: Et.al Yu-Ri Choi 
Published: April 2021

Candida albicans(C. albicans) is one of the bacteria that resides in the oral cavity, and the ones living in medical and commercial denture resins, commonly cause diseases. Therefore, this study was conducted to confirm the antibacterial activity of C. albicans using a denture base resin containing peony extract with antibacterial properties.
For the antibacterial effect, optical density and confocal laser microscopy were used. Contact angle measurements and color change measurements were performed to confirm the physical change of the material added with the antibacterial agent to the denture reline resin.
As a result of the antibacterial test, the experimental group exhibited antibacterial activity against C. albicans. Compared to the optical density results, the results of the experimental group showed a significant difference. As a result of Fluorescent images showing (confocal laser microscope), the control group showed a lot of live bacteria, no bacteria appeared in the experimental group. All group did not show any physical changes. As a result of the contact angle measurement, the surface of the experimental group was changed to hydrophilic. In addition, there was no change in the color of the denture reline resin containing peony extract. In conclusion, it was confirmed that the peony extract contained antibacterial activity of the denture resin, and further studies should be conducted on various bacteria for denture base resin disinfection.
Design of Open Knowledge Platform Based On Knowledge Base Utilization Model And Service Scenario To Support Solutions Of Regional Issues
Authors: Et.al ChulSu Lim 
Published: April 2021

Open knowledge platform can provide a purified knowledge base. Thus, we build a platform for several application areas in a cloud computing that supports APIs for various data based on a knowledge utilization model. The goal of this platform is to maximize the utilization of the knowledge base. In order to achieve this goal, we designed the structure of this platform as an open knowledge platform. The targets of the design are to maximize the utilization of data linkage, to expand it to national common knowledge and to increase its usability by providing services with knowledge graphs. In order to design the platform we identified users, information sources, and infrastructures. In the process, we found it is crucial to specify roles and services to the users of the platform. The requirements are induced from a utilization model and scenario of the service based on the knowledge graph. With the service scenario, stakeholders of the platform started narrow down function modules needed to support the service. One of the modules is a national common knowledge in the knowledge base, which provide essential connected knowledge to support solving regional problems of government such as earthquake, flooding. To increase the usability of data scattered by departments and agencies, data linkage, and knowledge between fragmented data sets is included in this platform. Subsequently, we designed modules to support the effective utilization of this knowledge information. Also, we found that a cloud infrastructure instead of in-house hardware and software could provide flexible and compatible services for the platform. Moreover, the cloud system has advantages on big data analysis and distributed system interconnection. Utilization model and scenario-based process modeling provide a systematic approach to design an open knowledge platform that supports many required components enabling interoperability, compatibility, and connectivity among other knowledge bases..
A Comparative Study on Presence of Candida Albicans in Oral Squamous Cell Carcinoma, Oral Dysplastic Lesions and Normal Oral Mucosa
Authors: Shahvali Farshad , Aminzadeh Atousa , Razavi Sayed Mohammad 
Published: April 2021

Introduction: Candida Albicans, has been suggested as a possible etiologic factor in the development of leukoplakia and oral squamous cell carcinoma. The aim of this study was to evaluate and compare the presence of Candida Albicans in samples with histopathological diagnosis of squamous cell carcinoma and dysplasia with healthy oral mucosa.
Materials and Methods: This retrospective descriptive-analytical study was carried out on 30 samples in three groups (10 samples per group) with histopathological diagnosis of squamous cell carcinoma, epithelial dysplasia, and healthy mucosa. To identify Candida, used special PAS staining and a 400X optical microscope. The results of study analyzed with Fisher exact test with the 0.05 level of significance.
Results: In the group diagnose with squamous cell carcinoma, Candida Albicans was present in 90% of the samples. In the other two groups with epithelial dysplasia and normal epithelium, positive PAS staining of candida was observed in 50% and 60 % samples respectively. A significant statistical difference between the group of squamous cell carcinoma and the other two groups was observed in terms of amount of Candida Albicans present in the samples. (p value < 0.05), however there was no such significant between the group with epithelial dysplasia samples and the one with normal epithelium samples (p value > 0.05).
Discussion and conclusion. According to the results of present study and the results of previous studies, it can be concluded that Candida Albicans probably plays a role not as an etiological factor but as a factor leading to epithelial malignancies. We recommend more studies to be carried out on this topic.