bluuebunny/crossref_metadata_2025_split huggingface dataset:
Migrating From Data Mining to Big Data Mining
Authors: Bathla Gourav , Aggarwal Himanshu , Rani Rinkle 
Published: July 2018

Data mining is one of the most researched fields in computer science. Several researches have been carried out to extract and analyse important information from raw data. Traditional data mining algorithms like classification, clustering and statistical analysis can process small scale of data with great efficiency and accuracy. Social networking interactions, business transactions and other communications result in Big data. It is large scale of data which is not in competency for traditional data mining techniques. It is observed that traditional data mining algorithms are not capable for storage and processing of large scale of data. If some algorithms are capable, then response time is very high. Big data have hidden information, if that is analysed in intelligent manner can be highly beneficial for business organizations. In this paper, we have analysed the advancement from traditional data mining algorithms to Big data mining algorithms. Applications of traditional data mining algorithms can be straight forward incorporated in Big data mining algorithm. Several studies have analysed traditional data mining with Big data mining, but very few have analysed most important algortihsm within one research work, which is the core motive of our paper. Readers can easily observe the difference between these algorthithms with pros and cons. Mathemtics concepts are applied in data mining algorithms. Means and Euclidean distance calculation in Kmeans, Vectors application and margin in SVM and Bayes therorem, conditional probability in Naïve Bayes algorithm are real examples. Classification and clustering are the most important applications of data mining. In this paper, Kmeans, SVM and Naïve Bayes algorithms are analysed in detail to observe the accuracy and response time both on concept and empirical perspective. Hadoop, Mapreduce etc. Big data technologies are used for implementing Big data mining algorithms. Performace evaluation metrics like speedup, scaleup and response time are used to compare traditional mining with Big data mining.
An Experimental Investigation on the Effects of Nanofluid and Peltier Element on Diesel and Biodiesel Blends in Compression Ignition Engine
Authors: Manimaran R , Murugu Mohan Kumar K 
Published: July 2018

This research work discusses the experimental investigations on the combined effects of Nanofluid and Peltier elements in mahua biodiesel blends with diesel fuel. The fuel test was carried out in a single cylinder ata constant speed (1500 rpm) direct injection diesel engine. Mahua oil used as an effective alternative to diesel fuel and mahua methyl ester derived from transesterification process. The mahua biodiesel was blended with diesel and nanofluid on volume fraction like M10, M20, M10* and M20*. Nanofluidin biodiesel blends with diesel resultsefficient combustion leads to improvement in engine performance, butit causes an increase in viscosity. Peltier element was used to reduce biodiesel blend viscosity with the principle of thermo-electricity.Finally, this research work concludes Mahua biodiesel 20% + diesel 80% + 2ml of aluminium oxide nanofluid (M20*) fuel act as an effective alternative fuel.M20*blend results in better engine combustion, performance (improved BTE and optimum BSEC) and decreased emission of NOx, Smoke and increased HC, CO emissions as compared to diesel fuel operation at peak power outputs.
Job Satisfaction of Female Faculty in Arts and Science Colleges in Coimbatore District
Authors: Sumath V , Velmurugan R 
Published: July 2018

Productive contribution of teachers towards institution and student development depends on not only their educational qualification and experience but also their job satisfaction. Satisfied teachers will contribute more towards institution and student enrichment. So, it is the duty of management of educational institutions to keep their faculty satisfied for their long-term survival. In this study an earnest attempt has been made to ascertain the factors influencing job satisfaction of women staff members working at Arts and Science Colleges in Coimbatore District. The result of the study portrays that women faculty are satisfied with regard to recognition received from their superiors followed by revision of salary (Ausekar, 1996), salary offered (Sharma, 2005), increment offered by the management for acquiring additional educational qualification etc.
An Efficient Medical Content Based Image Retrieval with Lenient Relevance Feedback
Authors: I. Heaven Rose R , C. Subajini A 
Published: July 2018

Content Based Image Retrieval (CBIR) for medical imageries is still in its early stage. There are many challenging research issues. Retrieve similar images only is the current problem in medical CBIR. One idea to solve this difficult is minimizing the gap among two descriptions i.e. low level extracted features of image and high level human perception of image. There are various Relevance Feedback (WF) methods have been considered to minimize the semantic gap in medical CBIR system. But most of them were deals with hard Feedback. In Hard Feedback system user can interact with the system in one query session. We recommend to aid the usage of lenient relevance response to better capture the intention of users. The meta-knowledge mined from multiple user’s experience be able to increase the precision of subsequent image recovery results. Here we suggest an algorithm to mine lenient association rules from the group of suggestion i.e. image weight value given by the user. To reduce the amount of strong rules we offer two rule lessening techniques related to redundancy detection and confidence quantization. Best first search and Binary search methods are similarly applied to advance the procedure of weight interface. The effectiveness of the offered system is assessed regarding precision and average retrieval time. The experimental results on medical images display that the proposed method is able to improve the accuracy of medical CBIR system and reduces the retrieval time than other usual methods.
Interaction Behavior on Edmodo in Biology: Integrating UTAUT Model
Authors: Shakila Mohamad Ashari Zaidatul , Azmi Nurhazirah , Yaacob Yanti , Hajar Noor Alshurdin Siti , Fatt Low Kim 
Published: July 2018

Integration of Edmodo, a social network educational platform allows educators-students to communicate, being in real-time discussion and collaborate in a significant approach. Edmodo yet, is still not dominant in Malaysia educational practices. The purpose of this research is to determine the students’ interaction behavior in learning by addition of Edmodo as subsidiary tool in Biology using Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical framework. Sample of study consists of 74 undergraduate students who were registered in Biology code. Self-access learning module was given to the samples for 2 consecutive weeks during early semester followed by the questionnaire at the end of semester. Data has been collected using a 5 point Likert scale with the element of main construct in UTAUT. Pearson correlation and linear regression were performed to analyze the data. It was found that performance expectancy and effort expectancy exhibited positive significant effect on interaction behavior towards Edmodo, while social influence and facilitating conditions had no significant effect. .
Characteristics of Senior High School Students in the Utilization of School Library in Indonesia
Authors: Harisanti Dessy , Putri Anugrah Esti 
Published: July 2018

School library provides various facilities and services adjusted to the needs of students as library users. With the availability of various facilities and services in the school library, the students can choose the facilities and library services that want to be utilized to meet their needs in the school environment. This study aims to determine the characteristics of students in the utilization of school library. This research uses quantitative approach with descriptive analysis. The location of this research is in a library of a Senior High School (SMA) in Surabaya, the second largest city in Indonesia. The results of this study indicate that high school students in the use of school libraries have different characteristics. They more often visit the library during break time compared to other times. Students use the library for school work, and some students do other activities in the library. In the case of borrowing books, the students mostly only borrow one book, the borrowed book is in Bahasa Indonesia, and not many students borrow collections in foreign languages. From this research, it can also be seen that many collections that do not fit between the bookshelves and the catalog / OPAC. Thus, it makes the students prefer to search directly on the shelf instead of using the catalog / OPAC. On the other hand, it is also because the students are still confused in using OPAC.
A Survey of Frequent Subgraph Mining Algorithms
Authors: Prakash Dixit Chandra , Khare Nilay 
Published: July 2018

Graphs are broadly used data structure. Graphs are very useful in representing/analyzing and processing real world data. Evolving graphs are graphs which are frequently changing in nature. There is either increase or decrease in their size i.e. change in number of edges or/and vertices. Mining is the process done for knowledge discovery in graphs. Detecting specific patterns with their number of repetition more than a predefined threshold in graph is known as frequent subgraph mining or FSM. Real Timed data representing graphs are high volumetric or of very large in size, handling such graphs require processing them with special mechanisms and algorithms. Our review paper discovers present FSM techniques and tries to give their comparative study.
Determination of factors affecting the mental health of underground miners<p>Yeraltı maden ocaklarında çalışan maden işçilerin ruh sağlığını etkileyen faktörlerin belirlenmesi
Authors: Kuzu Ayşe , Ünsal Barlas Gül , Gonce Onan Nevin 
Published: July 2018

Aim: This study aims to determine the impact of working conditions on mental health of underground miners.Method: It is a descriptive study. Research population consists of 1857 underground miners working at Zonguldak Kozlu Enterprise of Turkish Hard Coal Enterprises (TTK), and we tried to get in touch with all of them. However, we were able to contact 800 workers only and 684 questionnaires were taken into consideration. To collect data, Personal Information Form and Brief Symptom Inventory (BSI) were used. Descriptive statistics, Mann-Whitney U, Kruskal-Wallis and Bonferroni Correction Mann Whitney U tests were performed to assess the data.Findings: The study found that BSI mean scores of the miners who are 41[A1] and older miner, have a low level of education and sufficient income to meet their expenses were lower compared to other groups (p<0.05); and only hostility and BSI mean scores of the miners who have been working in the mine for 20 years or more were lower compared to other groups (p>0.05) and statistically significant. The frequency of displaying psychiatric symptoms in the miners were not influenced by the variables marital status, family type, having children and living environment.Conclusions: The study found that the frequency of displaying psychiatric symptoms is lower in older miners who have a low level of education and income just meeting their expenses and have been working at the mine for 20 years or more. Extended English summary is in the end of Full Text PDF (TURKISH) file. ÖzetAmaç: Bu çalışma yeraltı maden ocaklarında çalışan işçilerin çalışma koşullarının ruh sağlığına etkisini belirlemek amacıyla yapılmıştır.Yöntem: Bu tanımlayıcı bir çalışmadır. Araştırmanın evrenini Türkiye Taşkömürü Kurumu (TTK) Zonguldak Kozlu Müessesi’nde çalışan 1 857 yeraltı maden işçisi oluşturmuş ve evrenin tamamına ulaşılmaya çalışılmıştır. Ancak 800 işçiye ulaşılabilmiş ve 684 soru formu değerlendirmeye alınmıştır. Verilerin toplanmasında Kişisel Bilgi Formu ve Kısa Semptom Envanteri (KSE) kullanılmıştır. Verilerin değerlendirilmesinde tanımlayıcı istatistikler, Mann-Whitney U, Kruskal-Wallis ve Bonferroni Düzeltmeli Mann-Whitney U testi kullanılmıştır.Bulgular: 41 yaş ve üzeri, düşük eğitim düzeyine sahip ve geliri giderini karşılayan işçilerin KSE puan ortalamaları diğer gruplara göre düşük (p<0.05); 20 yıl ve daha uzun süre madende çalışan işçilerin yalnızca hostilite ve KSE toplam puan ortalamaları diğer gruplara göre düşük (p>0.05) ve istatistiksel olarak anlamlıdır. Maden işçilerinin psikiyatrik belirti gösterme sıklığı medeni durum, aile tipi, çocuk sahibi olma, yaşanılan yer değişkenlerinden etkilenmemiştir.Sonuçlar: Bu çalışmada ileri yaşta, düşük eğitim düzeyinde, geliri giderini karşılayan, 20 yıl ve üzerinde madende çalışan işçilerin psikiyatrik belirti gösterme sıklığının daha düşük olduğu belirlenmiştir.
Cerebrospinal fluid free kappa light chains and kappa index perform equal to oligoclonal bands in the diagnosis of multiple sclerosis
Authors: Christiansen Mikael , Gjelstrup Mikkel Carstensen , Stilund Morten , Christensen Tove , Petersen Thor , Jon Møller Holger 
Published: July 2018

Abstract

Background
Detection of intrathecal immunoglobulin G (IgG) synthesis by gold standard oligoclonal bands (OCB) or IgG index remains an integral part of multiple sclerosis (MS) diagnostics, although both methods have weaknesses. Emerging evidence suggests that automated detection of free light chains (FLC) in the cerebrospinal fluid (CSF) has diagnostic performance equal to OCB. The objective of this study was to compare the diagnostic performance of CSF FLC with OCB and IgG index in a large cohort of Scandinavian patients referred for MS evaluation.

Methods
We prospectively included 230 patients suspected for MS. They are composed of patients with MS (n=96), clinically isolated syndrome (n=37), other neurological diseases (OND, n=31) and symptomatic controls (SC, n=66). CSF and serum samples were analyzed for kappa and lambda FLC, OCB and IgG index. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis.

Results
Both the absolute concentration of CSF-kappa and the kappa index had excellent MS diagnostic performances with ROC area under the curve of 0.93 and 0.94 (MS vs. SC+OND). At the 0.42 mg/L cutoff, CSF-kappa had sensitivity and specificity of 93.8% and 85.6%, whereas sensitivity and specificity for OCB was 82.3% and 93.8% (72.9% and 95.9% for IgG index at cutoff 0.64). CSF-lambda and lambda index performed inferior to CSF-kappa and kappa index.

Conclusions
CSF-kappa and kappa index represent automated, rapid and low-cost alternatives to OCB. Using merely the absolute concentration of CSF-kappa is a logistic advantage in the clinical laboratories.
Patient’s knowledge and awareness about the effect of the over-the-counter (OTC) drugs and dietary supplements on laboratory test results: a survey in 18 European countries
Authors: Simundic Ana-Maria , Filipi Petra , Vrtaric Alen , Miler Marijana , Nikolac Gabaj Nora , Kocsis Andrea , Avram Sanja , Gligorovic Barhanovic Najdana , Bulo Anyla , Cadamuro Janne , van Dongen-Lases Edmee , Eker Pinar , Vital-e-Silva Andre , Homsak Evgenija , Ibarz Mercedes , Labudovic Danica , Nybo Mads , Pivovarníková Hedviga , Shmidt Inna , Siodmiak Joanna , Sumarac Zorica , Vitkus Dalius 
Published: July 2018

Abstract

Background
Nowadays over-the-counter (OTC) drugs and dietary supplements are widely used. Their use can have a significant impact on the validity of laboratory results. The aim of this multicenter European study was to determine the frequency of consumption of various dietary products and OTC drugs among patients and explore their level of knowledge and awareness about the potential impact of various products on laboratory test results.

Methods
Eighteen European countries participated in this study. The survey was carried out anonymously on a subsequent series of outpatients (n=200) in each participating country. Included were patients who were referred to the laboratory for blood sampling and who voluntarily agreed to participate in the study. The survey included questions about the frequency of consumption of various products, awareness of the importance of informing physicians and laboratory staff about it and information about influence of preanalytical factors in general on laboratory test results.

Results
In total, 68% of patients were regularly taking at least one OTC drug or dietary supplement. The frequency of patients consuming at least one OTC drug or dietary supplement differed between countries (p=0.001). Vitamins (38%), minerals (34%), cranberry juice (20%), acetylsalicylic acid (ASA) (17%) and omega fatty acids (17%) were the most commonly used in our study.

Conclusions
The use of various OTC drugs and dietary supplements is highly prevalent in Europe and patients are often not willing to disclose this information to the laboratory staff and ordering physician. The education of both patients and healthcare staff is needed.
Coordinated tautologies in Spanish and Russian
Authors: Escandell-Vidal Victoria , Vilinbakhova Elena 
Published: July 2018

AbstractThis paper examines a special pattern of tautological constructions –a is a and b is b– in Spanish and Russian. The phenomenon was first described by A. Wierzbicka, who cited Rudyard Kipling’s “East is East and West and West,” referring to it as “double tautologies” with the associated meaning of “irreducible difference.” Later, J. Meibauer called this pattern “coordinated tautologies” (CT) and suggested that they carry the implicature that “the referents of the respective subject NPs should be kept distinct, should not be confused, etc.”In the present study, we address the issue of compositionality in the construction and interpretation of CT. The data taken from Spanish and Russian corpora listed in the appendix and an Internet survey conducted with 91 native Spanish speakers prove that “irreducible difference” is not a necessary ingredient in the interpretation ofand-conjoined tautologies, nor is it its only argumentative point. We also argue that “irreducible difference” is not associated with this pattern alone (it can also appear in tautologies linked by the conjunctionbut, or without any conjunction) and that the exact number of conjuncts is not limited to two. Later, we discuss how exactly the frequent contrastive interpretation arises. Finally, we conclude that coordinated tautologies are not fixed form/function pairs; rather, the meaning they encode can be accounted for in regular compositional terms, and their different interpretations are the result of pragmatic enrichment in which the encoded meaning is combined with contextual information.
Gone in 30 days! Predictions for car import planning
Authors: Lacic Emanuel , Traub Matthias , Duricic Tomislav , Haslauer Eva , Lex Elisabeth 
Published: July 2018

Abstract
A challenge for importers in the automobile industry is adjusting to rapidly changing market demands. In this work, we describe a practical study of car import planning based on the monthly car registrations in Austria. We model the task as a data driven forecasting problem and we implement four different prediction approaches. One utilizes a seasonal ARIMA model, while the other is based on LSTM-RNN and both compared to a linear and seasonal baselines. In our experiments, we evaluate the 33 different brands by predicting the number of registrations for the next month and for the year to come.
Towards data-driven decision support for organizational IT security audits
Authors: Brunner Michael , Sillaber Christian , Demetz Lukas , Manhart Markus , Breu Ruth 
Published: July 2018

Abstract
As the IT landscape of organizations increasingly needs to comply with various laws and regulations, organizations manage a plethora of security-related data and have to verify the adequacy and effectiveness of their security controls through internal and external audits. Existing Governance, Risk and Compliance (GRC) approaches provide little support for auditors or are tailored to the needs of auditors and do not fully support required management activities of the auditee. To address this gap and move towards a holistic solution, a data-driven approach is proposed. Following the design science research paradigm, a data-driven approach for audit data management and analytics that addresses organizational needs as well as requirements for audit data analytics was developed. We contribute workflow support and associated data models to support auditing and security decision making processes. The evaluation shows the viability of the proposed IT artifact and its potential to reduce costs and complexity of security management processes and IT security audits. By developing a model and associated decision support workflows for the entire IT security audit lifecycle, we present a solution for both the auditee and the auditor. This is useful to developers of GRC tools, vendors, auditors and organizational decision makers.
The usage of subgenera in mammalian taxonomy
Authors: Teta Pablo 
Published: July 2018

Abstract
In this note, I discuss the advantages of the usage of subgenera as a practical taxonomic rank in mammalian taxonomy. Use of this category preserves traditional usage, reduces nomenclatural instability and avoids unnecessary change of names. Subgenera are useful to label diagnosable clades of closely related species, especially in morphologically and ecologically diverse monophyletic genera, without alteration of traditional binomial usage. Contrary to informal names such as “divisions” or “groups”, subgenera are governed by the rules of the International Commission on Zoological Nomenclature (ICZN), having usage constrained (and stability promoted) by typification and priority.
Synthesis, structure, and in vitro anti-lung cancer activity on an In-based nanoscale coordination polymer
Authors: Shu De-Gui , Chen Wen-Yu 
Published: July 2018

Abstract
Here, a new indium (In)-based coordination polymer [In(hip)](DMF)2(H2O)3 (1, DMF=N,N-dimethylformamide) was successfully prepared by a solvothermal reaction of In(NO3)3·6H2O and 5-hydroxyisophthalic acid (H3hip) in a mixed solvent of DMF and H2O with the presence of NaCl as a template. Complex 1 was characterized by elemental analysis (EA), single-crystal X-ray crystallography, and powder X-ray diffraction (PXRD), and the results reveal that complex 1 shows a two-dimensional (2D) grid-like network with considerable solvent accessible volume that was generated from the packing of the 2D layers via the AB pattern. Furthermore, complex 1 could be downsized into nanoscale particles with the aid of polyvinylpyrrolidone (PVP). In addition, the anticancer activities of 1 and the nanoscale 1 were probed via the 3-(4,5)-dimethylthiahiazo (-z-y1)-3,5-di-phenytetrazoliumromide (MTT) assay.
Fluorescent nanodiamonds: past, present, and future
Authors: Alkahtani Masfer H. , Alghannam Fahad , Jiang Linkun , Almethen Abdulrahman , Rampersaud Arfaan A. , Brick Robert , Gomes Carmen L. , Scully Marlan O. , Hemmer Philip R. 
Published: July 2018

Abstract
Multi-color fluorescent nanodiamonds (FNDs) containing a variety of color centers are promising fluorescent markers for biomedical applications. Compared to colloidal quantum dots and organic dyes, FNDs have the advantage of lower toxicity, exceptional chemical stability, and better photostability. They can be surface functionalized by techniques similar to those used for other nanoparticles. They exhibit a variety of emission wavelengths from visible to near infrared, with narrow or broad bandwidths depending on their color centers. In addition, some color centers can detect changes in magnetic fields, electric fields, and temperature. In this article review, we will discuss the current trends in FND’s development, including comparison to the early development of quantum dots. We will also highlight some of the latest advances in fabrication, as well as demonstrations of their use in bioimaging and biosensing.