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Journal articles on the topic 'Relational databases – Study and teaching'

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Published: 4 June 2021

Last updated: 1 February 2022

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Rice, Michael, William Gladstone, and Michael Weir. "Relational Databases: A Transparent Framework for Encouraging Biology Students To Think Informatically." Cell Biology Education 3, no. 4 (2004): 241–52. http://dx.doi.org/10.1187/cbe.03-09-0012.

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We discuss how relational databases constitute an ideal framework for representing and analyzing large-scale genomic data sets in biology. As a case study, we describe a Drosophila splice-site database that we recently developed at Wesleyan University for use in research and teaching. The database stores data about splice sites computed by a custom algorithm using Drosophila cDNA transcripts and genomic DNA and supports a set of procedures for analyzing splice-site sequence space. A generic Web interface permits the execution of the procedures with a variety of parameter settings and also supports custom structured query language queries. Moreover, new analytical procedures can be added by updating special metatables in the database without altering the Web interface. The database provides a powerful setting for students to develop informatic thinking skills.

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Kamisalic, Aida, Marjan Hericko, Tatjana Welzer, and Muhamed Turkanovic. "Experimental study on the effectiveness of a teaching approach using barker or Bachman notation for conceptual database design." Computer Science and Information Systems 15, no. 2 (2018): 421–48. http://dx.doi.org/10.2298/csis180322008k.

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Relational databases are one of the pillars of information systems and as a consequence conceptual and logical design can be seen as the foundation of almost every application regardless of the platform. Nevertheless, little research has been done so far on the effectiveness of teaching approaches to database basic concepts and design. This paper introduces a multi-level experimental study developed to examine the effectiveness of learning database fundamentals, depending on the notation used for conceptual design. The main experiment was carried out at a higher education institution. We developed different experimental instruments to evaluate the effectiveness of a teaching approach using Barker or Bachman notation for conceptual database design. In contrast to Barker notation, Bachman notation incorporates elements of logical design (i.e. foreign keys) in the conceptual design level. Students? achievements were examined with regard to influencing factors throughout the learning process. Introducing the Bachman notation and a manual transformation from a conceptual into a logical data model, could increase students? understanding of conceptual, logical and relational data model concepts. We found that the notation used during the learning process has an impact on students? achievements. Moreover, students achieved better results when solving tasks presented with a notation that incorporates elements of logical design into the conceptual level. Finally, we required the use of manual transformation from a conceptual into a logical data model and the results confirmed an increase in students? understanding.

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Ballenger, Robert M. "A REA Business Process Modeling and Relational Database Development Case: The Paws and Claws Veterinary." AIS Educator Journal 2, no. 1 (2007): 23–31. http://dx.doi.org/10.3194/aise.2007.2.1.23.

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Abstract This case provides a real-world end-of-semester project-oriented case study for students enrolled in an accounting information systems course in which resources, events, and agents (REA) business process modeling and database development are taught. The case consists of a business scenario to provide background information, details of the unique operating characteristics of the Paws and Claws Veterinary Clinic, a description of the functional business requirements, and sample data. The case provides sufficient information to create a moderately complex REA conceptual business process model for the revenue and collection cycle of a service-oriented business. Students should be able to convert the conceptual REA model into an Access database, populate it with data, and then develop a series of queries, forms, and reports that satisfy the stated functional requirements of the clinic. Teaching notes containing suggested implementation guidelines, a possible REA model, the resulting Access database containing the solution to the queries, forms and reports are provided.

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Shahwan, Yousef. "Methods Of Teaching To The Course Of Accounting Information Systems: Factors Of Preference." Review of Business Information Systems (RBIS) 12, no. 1 (2008): 103–12. http://dx.doi.org/10.19030/rbis.v12i1.4401.

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Accounting information systems (AIS) is a new course of accounting in the sense that the methods of teaching may differ from one school to another. There has been no such of a standard outline that best describes the important topics to be covered in the course of AIS (McCarthy 1999). Although much effort has been made towards the development of standard lists of topical materials, the space is widely open for research in this debate. It has been noted recently that AIS course textbooks include the relational database design and development as an important part adopted by instructors in teaching the course of AIS (Hollander et al. 2006; Romney and Steinbart 2006). This paper evaluates the current situation for teaching methods sued in the course of AIS and indicates several factors that may preference one method over another method of teaching to the AIS course. It reviews a variety of methods adopted in teaching AIS with emphasize on the data modeling approach using cardinalities and the documentation techniques of flowcharting. The study indicates that preference among variety of teaching methods is based on the method that may increase students' motivation and desire to study AIS, and the relevancy and reliability of the business system. It also indicates that improving students' ability to cope with the higher volatility of systems' requirements now days is another factor that may preference one over another methods of teaching to the course of the AIS.

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Zhou, Jieqiong, Zhenhua Wei, Fengzhen Jia, and Wei Li. "Course Ideological and Political Teaching Platform Based on the Fusion of Multiple Data and Information in an Intelligent Environment." Journal of Sensors 2021 (July 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/1558360.

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In the current teaching of politics, teachers still focus on the cultivation of the basic intelligence of students’ language intelligence, and it is easy to ignore the cultivation of other intelligences that affect the overall development of students. This research mainly discusses the design of curriculum ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. This research adopts the MVC architecture, and the web application developed based on the MVC (Model View Controller) architecture pattern is easier to complete the realization of multiple controllers. The front desk ideological and political teaching teacher module includes the login system. In addition, the teacher can view the test status of a specific student and can also pay attention to the total intelligence of all students who have been tested. The process of the student test is to enter the correct account and password to log in to the system and then perform the test. After the test, the test result can be viewed, and the personal information can be maintained at the same time. In addition, the personal login password can be modified. The existence of the database is to ensure that the data is correct and effective. This system uses MySql to design the database, and the name of the database is braintest_db. The data table in relational database is the main object of storing and managing data, and it is also an important task of database design. This system has designed three kinds of user logins, namely, administrator, student, and teacher, and login can be realized according to the account number and password. Among them, teacher’s participation is by inquiring about students’ test situation, paying attention to students’ multiple intelligences, and teaching students in accordance with their aptitude. In addition, the main object of this test is students, and the analysis of multiple intelligences is realized through student tests. Students are vitally physical objects that can be tested and searched for results. In the study, 20% of the students both learn the basic content of the platform and use the forum. This research will help improve students’ literacy in an all-round way.

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Editor, From the. "From the Editor." World Journal on Educational Technology 7, no. 3 (2015): 1. http://dx.doi.org/10.18844/wjet.v7i3.155.

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It is an honour for us to welcome you as Editors of World Journal on Educational Technology which has accepted publications indexed in qualified databases since 2009. We are ready to publish the new studies of World Journal on Educational Technology which has 5 full length articles written by authors from, Jordan, Iran, Russia and Turkey.The aim of this issue is to give the researchers an opportunity to share their academic studies. First of all, I would like to thank all who have contributed to this issue. There are different focuses. For example, Majedah Fawzi Abu Al Rub examined the types of educational technology practices that kindergarten and elementary teachers in Denver, Colorado, USA, implement in their classrooms and their beliefs concerning the implementation of educational technology in their classrooms. The researcher found that teacher participants integrate a variety of technology into their classrooms. The results also showed that the participants are committed to utilize technology because they strongly believe that it benefits students.On the other hand, Forouzan Rezaeian Tiyar and Hooshang Khoshsima investigated the Expectation-Confirmation Model (ECM) factors of Post-Adoption Expectation (PAE) which is explored via using language learners’ post-adoption experiences in the use of e-learning systems. Learning process, tutor interaction, peer interaction, and course design are the four factors identified used for extending the perception of language learners’ experiences in e-learning. Also, Marina Valeryevna Kuimova, Maksim Anatolyevich Golousenko, Denis Sergeevich Nikiforov and Vladislav Vladimirovich Shcherbakov aimed in their study of foreign language teaching is to learn to communicate and overcome the language barrier. The article studies the theoretical background of WebQuest as a valuable tool and proves that it helps learners to acquire linguistic and extra-linguistic knowledge. And, Afsaneh Baharloo and Saeed Mehrpour aimed to investigate the status quo of critical pedagogy in Iran. It focused on examining language teachers’ stances on implementing the principles of critical pedagogy in their classrooms. Also, of particular interest was the study of gender difference in practicing critical pedagogy in language institutes in Iran. Finally, Ali Semerci and Hafize Keser carried out a study on instructors. In this study, instructors’ computer self-efficacy perceptions are examined in terms of variables such as age, gender, academic status, teaching experience, computer literacy and computer skills. The study is a descriptive one in which relational scanning method has been utilized.I would like to express my thanks to all authors preferring World Journal on Educational Technology to make their articles published, all reviewers working seriously in the process of publishing, and also quest editors supporting us in this process. Best regards,Editor-in-ChiefAssoc. Prof. Dr. Fezile Ozdamli

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Perkins, Jonathan A., and Marc D. Coltrera. "Relational Databases for Rare Disease Study." Archives of Otolaryngology–Head & Neck Surgery 134, no. 1 (2008): 62. http://dx.doi.org/10.1001/archoto.2007.12.

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Fan Tie-Shuan, Guo Zhi-Yu, Liu Wen-Long, et al. "Study of relational nuclear databases and online services." Acta Physica Sinica 53, no. 9 (2004): 2919. http://dx.doi.org/10.7498/aps.53.2919.

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Raju, K. V. S. V. N., and Arun K. Majumdar. "The study of joins in fuzzy relational databases." Fuzzy Sets and Systems 21, no. 1 (1987): 19–34. http://dx.doi.org/10.1016/0165-0114(87)90149-7.

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Kunda, Douglas, and Hazael Phiri. "A Comparative Study of NoSQL and Relational Database." Zambia ICT Journal 1, no. 1 (2017): 1–4. http://dx.doi.org/10.33260/zictjournal.v1i1.8.

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Relational Database and NoSQL are competing types of database models. The former has been in existence since 1979 and the latter since the year 2000. The demands of modern applications especially in web 2.0, 3.0 and big data have made NoSQL a popular database of choice. Choosing an appropriate database model to use is an important decision that developers must make based on the features of a given database model. This paper compares the features of Relational Databases and NoSQL to establish which database is better at supporting demands of modern applications. The paper also brings out the challenges of NoSQL. Finally, the paper concludes by determining whether Relational Databases would completely be replaced by NoSQL database models. The findings revealed that, Relational Databases are based on ACID model which emphasizes better consistency, security and offers a standard query language. However, Relational Databases have poor scalability, weak performance, cost more, face availability challenges when supporting large number of users and handle limited volume of data. NoSQL, on the other hand is based on the BASE model, which emphasizes greater scalability and provides a flexible schema, offers better performance, mostly open source, cheap but, lacks a standard query language and does not provide adequate security mechanisms. Both databases will continue to exist alongside each other with none being better than the other. The choice of the database to use will depend on the nature of the application being developed. Each database type has its own challenges and strengths, with relational database lacking of support for unstructured data while NoSQL lacks standardization and has poor security. Modern applications in web 2.0, 3.0 and big data are well suited to use NoSQL but, there are still many applications that rely on Relational Databases.

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Sharma, Yashraj, and Yashasvi Sharma. "CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM." International Journal of Research -GRANTHAALAYAH 7, no. 7 (2019): 351–59. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.777.

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On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also some features of relational database management system. The severe benefit of NoSQL database is that it is an open source system which helps to adapt many numbers of features for newly generated applications. This paper is focused on understanding the concepts of non-relational database system architecture with relational database system architecture and figure out the advantages and disadvantages of both simultaneously.

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G.Pardeshi, N., J. N. Kale, and M. S. Ankoshe. "Experimental Study of Improved Watermarking Scheme on Relational Databases." International Journal of Computer Applications 109, no. 12 (2015): 9–15. http://dx.doi.org/10.5120/19239-0906.

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Hassan, Hassan B., and Qusay I. Sarham. "Performance evaluation of relational embedded databases: an empirical study." Innovaciencia Facultad de Ciencias Exactas, Físicas y Naturales 6, no. 1 (2018): 1–8. http://dx.doi.org/10.15649/2346075x.468.

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Introduction: With the rapid deployment of embedded databases across a wide range of embedded devices such as mobile devices, Internet of Things (IoT) devices, etc., the amount of data generated by such devices is also growing increasingly. For this reason, the performance is considered as a crucial criterion in the process of selecting the most suitable embedded database management system to be used to store/retrieve data of these devices. Currently, many embedded databases are available to be utilized in this context. Materials and Methods: In this paper, four popular open-source relational embedded databases; namely, H2, HSQLDB, Apache Derby, and SQLite have been compared experimentally with each other to evaluate their operational performance in terms of creating database tables, retrieving data, inserting data, updating data, deleting data. Results and Discussion: The experimental results of this paper have been illustrated in Table 4. Conclusions: The experimental results and analysis showed that HSQLDB outperformed other databases in most evaluation scenarios.

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Matallah, Houcine, Ghalem Belalem, and Karim Bouamrane. "Comparative Study Between the MySQL Relational Database and the MongoDB NoSQL Database." International Journal of Software Science and Computational Intelligence 13, no. 3 (2021): 38–63. http://dx.doi.org/10.4018/ijssci.2021070104.

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NoSQL databases are new architectures developed to remedy the various weaknesses that have affected relational databases in highly distributed systems such as cloud computing, social networks, electronic commerce. Several companies loyal to traditional relational SQL databases for several decades seek to switch to the new “NoSQL” databases to meet the new requirements related to the change of scale in data volumetry, the load increases, the diversity of types of data handled, and geographic distribution. This paper develops a comparative study in which the authors will evaluate the performance of two databases very widespread in the field: MySQL as a relational database and MongoDB as a NoSQL database. To accomplish this confrontation, this research uses the Yahoo! Cloud Serving Benchmark (YCSB). This contribution is to provide some answers to choose the appropriate database management system for the type of data used and the type of processing performed on that data.

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Şentürk, Zeynel, Onur Zahal, Cemal Yurga, Engin Gürpınar, and Fırat Altun. "Investigation of music teachers’ attitudes toward teaching profession according to their profile propertiesMüzik öğretmenlerinin öğretmenlik mesleğine yönelik tutumlarının profil özelliklerine göre incelenmesi." Journal of Human Sciences 13, no. 3 (2016): 5032. http://dx.doi.org/10.14687/jhs.v13i3.4024.

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The overall objective of this study is determining the relations between profile properties of a music teacher and their attitudes toward the profession. This research was created in the relational model. In the study; main purpose is relation between Music teachers’ profiles and attitudes toward profession. So the work bears descriptive nature. Working group of the study consisted who worked on 2014-2015 academic year at Malatya province and district music teachers (n=150). Data collection instruments used in the study; MÖPÖF, ÖMTÖ and to determine the schools they work these teachers from Malatya Directorate of National Education is the database. Female teachers’ ÖMTÖ results and love factor were higher than the scores of male teachers’. Statistically significant differences were detected only in love dimension according to the type of high school they graduated toward the profession of teacher. The graduates of the religious school, in their love for their profession according to the general high school teacher was found to be more intense. According to graduated programme; there were significant differences at Total ÖMTE and Love dimension. Music teachers and attitudes of their love towards teaching profession, it was determined that additional work to make a significant difference to the situation. According to most listened music; there were significant differences at Total ÖMTE and Love dimension scores. The teachers listened to classical music; according to the teachers listen to THM, TSM and other musical genres, in a meaningful way, the level of attitude and love towards teaching profession has concluded that higher. ÖzetBu çalışma ile müzik öğretmenlerinin profil özellikleri ile müzik öğretmenliği mesleğine yönelik tutumları arasındaki ilişkinin belirlenmesi amaçlanmıştır. Bu araştırma ilişkisel tarama modelinde oluşturulmuştur. Araştırmada; müzik öğretmenlerinin profil bu özellikleri ile öğretmenlik mesleğine yönelik tutumları arasındaki ilişki konularında durum tespiti yapıldığından dolayı, çalışma betimsel nitelik taşımaktadır. Araştırmanın çalışma grubunu 2014-2015 eğitim-öğretim yılında Malatya il ve ilçelerinde görev yapan müzik öğretmenleri (n=150) oluşturmuştur. Araştırmada kullanılan veri toplama araçları; MÖPÖF, ÖMTÖ ve müzik öğretmenleri ve bu öğretmenlerin görev yaptıkları okulların belirlenmesi için kullanılan Malatya Milli Eğitim Müdürlüğü veri tabanıdır. Araştırmanın sonuçlarına göre; kadın öğretmenlerin ÖMTÖ puanlarının ve Sevgi boyutu puanlarının erkek öğretmenlerden yüksek olduğu sonucu bulunmuştur. Lise türüne göre sadece sevgi boyutunda anlamlı farklılık olduğu tespit edilmiştir. İmam-hatip liselerinden mezun olanların, genel lise mezunu öğretmenlere göre mesleklerine duydukları sevginin daha yoğun olduğu bulunmuştur. Mezun olunan programa göre ÖMTÖ toplam ve Sevgi boyutu puanlarında anlamlı farklılık olduğu sonucuna ulaşılmıştır. Müzik öğretmenliği programlarından mezun olanların sevgi düzeyinin, GSF, konservatuvar ve diğer programlardan mezun olup müzik öğretmeni olanlara göre anlamlı ve yüksek etki düzeyinde daha düşük olduğu görülmektedir. Müzik öğretmenlerinin sevgi ve tutum düzeyinin, ek iş yapma durumlarına göre anlamlı farklılık gösterdiği tespit edilmiştir. En çok dinlenilen müzik türüne göre ÖMTÖ toplam puanlarında ve Sevgi boyutu puanlarında anlamlı farklılık olduğu sonucuna ulaşılmıştır. Klasik Batı Müziği dinleyenlerin; THM, TSM ve diğer müzik türlerini en çok dinleyenlere göre sevgi düzeyinin; THM ve TSM dinleyenlere göre ise tutum düzeylerinin anlamlı bir biçimde daha yüksek olduğu sonucuna ulaşılmıştır.

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Mulesa, O., F. Geche, G. Rozlutska, and Yu Imre. "Method Of Teaching The Theme "SELECT Statement" In A Content Module "Relational Databases"." Physical and Mathematical Education 15, no. 1 (2018): 260–63. http://dx.doi.org/10.31110/2413-1571-2018-015-1-049.

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Gazzoli, Silvia. "The Use of Relational Databases in Epigraphy: A Case Study." Studia Universitatis Babeș-Bolyai Digitalia 63, no. 2 (2019): 19–30. http://dx.doi.org/10.24193/subbdigitalia.2018.2.02.

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White, T. N., J. E. Rijnsdorp, and D. B. Reuhman. "An Ergonomic Study of Two Query Languages for Relational Databases." IFAC Proceedings Volumes 18, no. 10 (1985): 205–11. http://dx.doi.org/10.1016/s1474-6670(17)60221-0.

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Jonas, William S., Melanie Cooper, Allan F. Platt, et al. "A Clinical Database Supports Better Patient Care, and Clinical Research in a Sickle Cell Center at a Large County Hospital." Blood 106, no. 11 (2005): 5579. http://dx.doi.org/10.1182/blood.v106.11.5579.5579.

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Abstract The Georgia Comprehensive Sickle Cell Center at Grady Health System was enabled in 1985 by an appropriation of the Georgia State Legislature. The Center developed as the World’s first dedicated 24 hour acute care center is committed to patients with sickle cell syndromes. The Acute Care Center is equipped with 12 observation beds and patients are treated for up to 8 hours before a decision about hospital admission is made. Continuity follow-up clinics are held in the adjacent clinic area with 6 exam rooms, a waiting room, reception area, staff offices, and a multimedia teaching center for patients. Care is provided by a multidisciplinary team of physicians, nurses, physician assistants, nurse practitioners, clinic assistants, secretarial support, social workers, psychologists, and a clinical nurse specialist in psychiatry. The state contract required 16 demographic characteristics on each patient seen by the center staff. To accomplish this, a relational database was developed to manage this large dataset. This database was initially established in R-Base format but subsequently transitioned to Windows based Access in 1995. The database was designed and implemented mainly to coordinate patient care containing demographics, problem lists, current medications, radiology results and laboratory data. The database also is utilized to manage the business aspects of the Center including making appointments, tracking visits, monitoring transfusions, ordering supplies, and tracking inventory. The database also provides support for research by identifying patients who qualify for research studies, tracking participation in clinical trials, correlating molecular genetic characterization with clinical findings and outcomes. The database presently has over 3500 registered patients. There are over 1608 active patients defined as being seen in the past two years. Phenotypes and ages are outlined in Table 1. The number of active patients in many age groups allows for cross-sectional, age specific analysis of complications in sickle cell disease. The database also facilitates identifying subjects for intervention trials by entry of study inclusion and exclusion criteria as search criteria for inquiries. The use of the database as a clinical management tool captures information during patient care activities minimizing the need for separate data entry. Data from 20 years of following patients in this data set also provides information on natural history, frequency of complications, and impact of interventions in patients with sickle syndromes Table 1. Phenotypes and Ages of Active Patients Phenotype HbSS HbSC Sβ+ thal Sβo thal Other Unkn Total Number 711 214 112 18 237 316 1608 Percent 44% 13% 7% 1% 15% 20% 100% Age 0 – 9 10–19 20–29 30–39 40–49 50–59 ≥ 60 Number 321 339 414 283 172 58 21

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Ait El Mouden, Zakariyaa, and Abdeslam Jakimi. "A New Algorithm for Storing and Migrating Data Modelled by Graphs." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 11 (2020): 137. http://dx.doi.org/10.3991/ijoe.v16i11.15545.

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<span>NoSQL databases have moved from theoretical solutions to exceed relational databases limits to a practical and indisputable application for storing and manipulation big data. In term of variety, NoSQL databases store heterogeneous data without being obliged to respect a predefined schema such as the case of relational and object-relational databases. NoSQL solutions surpass the traditional databases in storage capacity; we consider MongoDB for example, which is a document-oriented database capable of storing unlimited number of documents with a maximal size of 32TB depending on the machine that runs the database and also the operating system. Also, in term of velocity, many researches compared the execution time of different transactions and proved that NoSQL databases are the perfect solution for real-time applications. This paper presents an algorithm to store data modeled by graphs as NoSQL documents, the purpose of this study is to exploit the high amount of data stored in SQL databases and to make such data usable by recent clustering algorithms and other data science tools. This study links relational data to document datastores by defining an effective algorithm for reading relational data, modelling those data as graphs and storing those data as NoSQL documents.</span>

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Michalewicz, Zbigniew, and Alvin Yeo. "A Good Normal Form for Relational Databases." Fundamenta Informaticae 12, no. 2 (1989): 129–38. http://dx.doi.org/10.3233/fi-1989-12202.

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In the conceptual design of relational databases one of the main goals is to create a conceptual scheme, which minimize redundancies and eliminate deletion and addition anomalies, i.e. to create relation schemes in some good normal form. The study of relational databases has produced a host of normal forms: 2NF, 3NF, BCNF, Elementary-Key Normal Form, 4NF, Weak 4NF, PJ/NF, DK/NF, LTKNF, (3,3)NF, etc. There are two features which characterize these normal forms. First, they consider each relation separately. We believe that a normal form (which reflects the goodness of the conceptual design) should be related to the whole conceptual scheme. Second, the usefullness of all normal forms in relational database design have been based on the assumption that a data definition language (DDL) of a database management system (DBMS) is able to enforce key dependencies. However, different DDLs have different capabilities in defining constraints. In this paper we will discuss the design of conceptual relational schemes in general. We will also define a good normal form (GNF) which requires a minimally rich DDL; this normal form is based only on a primitive concept of constraints. We will not, however, discuss the normalization process itself – how one might, if possible, convert a relation scheme that is not in some normal form into a collection of relation schemes each of which is in that normal form.

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Neha Singh, Neha Singh. "A Study on Optimization of Top-k Queries in Relational Databases." IOSR Journal of Computer Engineering 10, no. 4 (2013): 38–40. http://dx.doi.org/10.9790/0661-01043840.

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Wang, Chao, Jie Ding, and Bin Hu. "Ranking Algorithms for Keyword Search over Relational Databases." Advanced Materials Research 605-607 (December 2012): 2291–96. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2291.

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Developing effective ranking algorithms for keyword search over relational databases is a hot study topic. Ranking algorithm largely determines the performance of a keyword search system. Good ranking algorithms not only provide user with the most relevant query results but also provide fast response time. A number of existing ranking algorithms were classified and compared. Several representational algorithms were summarized and analysed in detail. The principles, advantages and disadvantages of these algorithms were discussed. Finally, prospect for future work, especially the intelligent trends, in ranking were discussed.

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Keivani, Negin, Abdelsalam M. Maatuk, Shadi Aljawarneh, and Muhammad Akhtar Ali. "Towards the Maturity of Object-Relational Database Technology: Promises and Reality." International Journal of Technology Diffusion 6, no. 4 (2015): 1–19. http://dx.doi.org/10.4018/ijtd.2015100101.

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Object-relational technology provides a significant increase in scalability and flexibility over the traditional relational databases. The additional object-relational features are particularly satisfying for advanced database applications that relational database systems have experienced difficulties. The key factor to the success of object-relational database systems is their performance. This paper aims to review the promises of Object-Relational database systems, examine the reality, and how their promises may be fulfilled through unification with the relational technology. To investigate the performance implications of using object-relational relative to relational technology, the query-oriented BUCKY benchmark has been previously applied to an early object-relational database system, i.e., Illustra 97. This paper presents the results obtained from implementing and running the BUCKY benchmark on Oracle 10g. The results acquired from the work described in this paper are compared with the results obtained in BUCKY benchmark. This study throws light on the functionality of object-relational databases, where object-relational technology has made improvements but some limitations are identified as well. In general, the performance of relational supersedes that of object-relational database system.

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Garton. "Learning styles, teaching performance, and student achievement: a relational study." Journal of Agricultural Education 40, no. 3 (1999): 11–20. http://dx.doi.org/10.5032/jae.1999.03011.

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Xi, Li. "Grey Relational Degree-Based Universities Football Teaching Development Trend Study." Open Automation and Control Systems Journal 7, no. 1 (2015): 1586–91. http://dx.doi.org/10.2174/1874444301507011586.

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Oh, Boyoung. "Meaning of Relational Art Education and Teaching Guide Plan Study." Journal of Basic Design & Art 21, no. 4 (2020): 195–207. http://dx.doi.org/10.47294/ksbda.21.4.15.

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Murmann, Johann Peter. "Constructing Relational Databases to Study Life Histories on Your PC or Mac." Historical Methods: A Journal of Quantitative and Interdisciplinary History 43, no. 3 (2010): 109–23. http://dx.doi.org/10.1080/01615440.2010.496442.

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Zhang, Xiao Lin, Wan Li Wang, and Xiao Qi Lv. "Research on Technology of Medical Image Database and its Connection with HIS Database." Advanced Materials Research 267 (June 2011): 119–23. http://dx.doi.org/10.4028/www.scientific.net/amr.267.119.

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Medical digital image information storage standard and existing heterogeneous database technology were analyzed with view to the particularity of the standard for medical images; data in medical images were organized according to data organizational hierarchy in the DICOM standard and sophisticated relational databases were utilized to store medical images. Using XML as a middleware to connect medical image database to HIS and then through relational databases and XML transformation rules to complete the conversion of the two databases into XML document. The study indicated that the method is able to achieve the purpose of the connection of heterogeneous databases.

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Wahyuningrum, Shinta Estri, Augustina Sulastri, and Ridwan Sanjaya. "Information System databases for Neuropsychology Tests: case study in Boston Naming Test." SISFORMA 6, no. 1 (2019): 28. http://dx.doi.org/10.24167/sisforma.v6i1.2274.

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In the field of psychology, determining the psychological condition of a person’s can be done using various types of tests. Neuropsychology test is a battery test that means every person should be taken 11 test in a moment. Each test has a different objective, as an example, The Boston Naming test is used to measure a person's ability in the language domain. The data stored for each data in the Boston Naming Test (BNT) is around 130 fields. Each test has different specific data. This makes the data grow rapidly and requires a database design that can accommodate this need.There are many approaches can be done to store the database such a relational database and NoSQL database. When the data are stored using relational methods and amount of data are large, there can be a lack of time in both processing and tracking. This article proposes a system to store the result of the neuropsychological test using the NoSQL database approach with sample data in subtest BNT.

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Imam, Abdullahi Abubakar, Shuib Basri, Rohiza Ahmad, et al. "DSP: Schema Design for Non-Relational Applications." Symmetry 12, no. 11 (2020): 1799. http://dx.doi.org/10.3390/sym12111799.

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The way a database schema is designed has a high impact on its performance in relational databases, which are symmetric in nature. While the problem of schema optimization is even more significant for NoSQL (“Not only SQL”) databases, existing modeling tools for relational databases are inadequate for this asymmetric setting. As a result, NoSQL modelers rely on rules of thumb to model schemas that require a high level of competence. Several studies have been conducted to address this problem; however, they are either proprietary, symmetrical, relationally dependent or post-design assessment tools. In this study, a Dynamic Schema Proposition (DSP) model for NoSQL databases is proposed to handle the asymmetric nature of today’s data. This model aims to facilitate database design and improve its performance in relation to data availability. To achieve this, data modeling styles were aggregated and classified. Existing cardinality notations were empirically extended using synthetically generated queries. A binary integer formulation was used to guide the mapping of asymmetric entities from the application’s conceptual data model to a database schema. An experiment was conducted to evaluate the impact of the DSP model on NoSQL schema production and its performance. A profound improvement was observed in read/write query performance and schema production complexities. In this regard, DSP has significant potential to produce schemas that are capable of handling big data efficiently.

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Junkkari, Marko, Johanna Vainio, Kati Iltanen, Paavo Arvola, Heidi Kari, and Jaana Kekäläinen. "Path Expressions in SQL." Journal of Database Management 27, no. 3 (2016): 1–22. http://dx.doi.org/10.4018/jdm.2016070101.

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This article focuses on testing a path-oriented querying approach to hierarchical data in relational databases. The authors execute a user study to compare the path-oriented approach and traditional SQL from two perspectives: correctness of queries and time spent in querying. They also analyze what kinds of errors are typical in path-oriented SQL. Path-oriented query languages are popular in the context of object-orientation and XML. However, relational databases are the most common paradigm for storing data and SQL is most common for manipulating data. When querying hierarchical data in SQL, the user must specify join conditions explicitly between hierarchy levels. Path-oriented SQL is a new alternative for expressing hierarchical queries in relational databases. In the authors' study, the users spent significantly less time in writing path-oriented SQL queries and made fewer errors in query formulation.

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Al Solami, Eesa, Muhammad Kamran, Mohammed Saeed Alkatheiri, Fouzia Rafiq, and Ahmed S. Alghamdi. "Fingerprinting of Relational Databases for Stopping the Data Theft." Electronics 9, no. 7 (2020): 1093. http://dx.doi.org/10.3390/electronics9071093.

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The currently-emerging technology demands sharing of data using various channels via the Internet, disks, etc. Some recipients of this data can also become traitors by leaking the important data. As a result, the data breaches due to data leakage are also increasing. These breaches include unauthorized distribution, duplication, and sale. The identification of a guilty agent responsible for such breaches is important for: (i) punishing the culprit; and (ii) preventing the innocent user from accusation and punishment. Fingerprinting techniques provide a mechanism for classifying the guilty agent from multiple recipients and also help to prevent the innocent user from being accused of the data breach. To those ends, in this paper, a novel fingerprinting framework has been proposed using a biometric feature as a digital mark (signature). The use of machine learning has also been introduced to make this framework intelligent, particularly for preserving the data usability. An attack channel has also been used to evaluate the robustness of the proposed scheme. The experimental study was also conducted to demonstrate that the proposed technique is robust against several malicious attacks, such as subset selection attacks, mix and match attacks, collusion attacks, deletion attacks, insertion attacks, and alteration attacks.

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Fisk, J. M., P. Mutalik, F. W. Levin, J. Erdos, C. Taylor, and P. Nadkarni. "Integrating Query of Relational and Textual Data in Clinical Databases: A Case Study." Journal of the American Medical Informatics Association 10, no. 1 (2003): 21–38. http://dx.doi.org/10.1197/jamia.m1133.

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Seng, Jia‐Lang. "A study on industry and synthetic standard benchmarks in relational and object databases." Industrial Management & Data Systems 103, no. 7 (2003): 516–32. http://dx.doi.org/10.1108/02635570310489214.

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Alotaibi, Obaid, and Eric Pardede. "Transformation of Schema from Relational Database (RDB) to NoSQL Databases." Data 4, no. 4 (2019): 148. http://dx.doi.org/10.3390/data4040148.

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Relational database has been the de-facto database choice in most IT applications. In the last decade there has been increasing demand for applications that have to deal with massive and un-normalized data. To satisfy the demand, there is a big shift to use more relaxed databases in the form of NoSQL databases. Alongside with this shift, there is a need to have a structured methodology to transform existing data in relational database (RDB) to NoSQL database. The transformation from RDB to NoSQL database has become more challenging because there is no current standard on NoSQL database. The aim of this paper is to propose transformation rules of RDB Schema to various NoSQL database schema, namely document-based, column-based and graph-based databases. The rules are applied based on the type of relationships that can appear in data within a database. As a proof of concept, we apply the rules into a case study using three NoSQL databases, namely MongoDB, Cassandra, and Neo4j. A set of queries is run in these databases to demonstrate the correctness of the transformation results. In addition, the completeness of our transformation rules are compared against existing work.

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King, Ronald S., and James J. Legendre. "Discovery of functional and approximate functional dependencies in relational databases." Journal of Applied Mathematics and Decision Sciences 7, no. 1 (2003): 49–59. http://dx.doi.org/10.1155/s117391260300004x.

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This study develops the foundation for a simple, yet efficient method for uncovering functional and approximate functional dependencies in relational databases. The technique is based upon the mathematical theory of partitions defined over a relation's row identifiers. Using a levelwise algorithm the minimal non-trivial functional dependencies can be found using computations conducted on integers. Therefore, the required operations on partitions are both simple and fast. Additionally, the row identifiers provide the added advantage of nominally identifying the exceptions to approximate functional dependencies, which can be used effectively in practical data mining applications.

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Liu, Julie Yu-Chih. "Lossless Join Decomposition for Extended Possibility-Based Fuzzy Relational Databases." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/842680.

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Functional dependency is the basis of database normalization. Various types of fuzzy functional dependencies have been proposed for fuzzy relational database and applied to the process of database normalization. However, the problem of achieving lossless join decomposition occurs when employing the fuzzy functional dependencies to database normalization in an extended possibility-based fuzzy data models. To resolve the problem, this study defined fuzzy functional dependency based on a notion of approximate equality for extended possibility-based fuzzy relational databases. Examples show that the notion is more applicable than other similarity concept to the research related to the extended possibility-based data model. We provide a decomposition method of using the proposed fuzzy functional dependency for database normalization and prove the lossless join property of the decomposition method.

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AChavan, Anupama, and Vijay Kumar Verma. "Mining Functional Dependency in Relational Databases using FUN and Dep-Miner: A Comparative Study." International Journal of Computer Applications 78, no. 15 (2013): 34–36. http://dx.doi.org/10.5120/13602-1377.

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DECONINCK-BROSSARD, FRANçOISE. "HISTORICAL RESEARCH AND RELATIONAL DATABASES: A CASE STUDY OF THE DURHAM 1774 VISITATION RETURNS." History and Computing 12, no. 2 (2000): 215–26. http://dx.doi.org/10.3366/hac.2000.12.2.215.

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Yu, Jiangman. "A Model Study Based on Social Network Relational Dimensions and Structural Dimensions." Applied Mathematics and Nonlinear Sciences 5, no. 2 (2020): 121–28. http://dx.doi.org/10.2478/amns.2020.2.00005.

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AbstractThis paper uses the data of China’s venture capital industry in the CVSource and Zero2IPO databases from 1999 to 2018 as a research sample. By using UCINET software to build the entire network of venture capital industry for social network analysis, I calculate the group tie density based on network interaction, status heterogeneity and faults based on network centrality, to analyse whether those group network characteristics affect the complementarity effect. Based on this, I use probit model regression test to carry on an examination.

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FONG, JOSEPH, HERBERT SHIU, and JENNY WONG. "METHODOLOGY FOR DATA CONVERSION FROM XML DOCUMENTS TO RELATIONS USING EXTENSIBLE STYLESHEET LANGUAGE TRANSFORMATION." International Journal of Software Engineering and Knowledge Engineering 19, no. 02 (2009): 249–81. http://dx.doi.org/10.1142/s0218194009004131.

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Extensible Markup Language (XML) has been used for data-transport and data-transformation while the business sector continues to store critical business data in relational databases. Extracting relational data and formatting it into XML documents, and then converting XML documents back to relational structures, becomes a major daily activity. It is important to have an efficient methodology to handle this conversion between XML documents and relational data. This paper aims to perform data conversion from XML documents into relational databases. It proposes a prototype and algorithms for this conversion process. The pre-process is schema translation using an XML schema definition. The proposed approach is based on the needs of an Order Information System to suggest a methodology to gain the benefits provided by XML technology and relational database management systems. The methodology is a stepwise procedure using XML schema definition and Extensible Stylesheet Language Transformations (XSLT) to ensure that the data constraints are not scarified after data conversion. The implementation of the data conversion is performed by decomposing the XML document of a hierarchical tree model into normalized relations interrelated with their artifact primary keys and foreign keys. The transformation process is performed by XSLT. This paper will also demonstrate the entire conversion process through a detailed case study.

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Markovskiy, A. S., and N. I. Svekolkin. "METHOD FOR DETECTING ANOMALIES OF SQL-SPECIFIC QUERY OF RELATIONAL DATABASES." Proceedings of the Southwest State University 22, no. 1 (2018): 53–61. http://dx.doi.org/10.21869/2223-1560-2018-22-1-53-61.

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In the context of toughening of the requirements in the field of information security (the conditions of its safety) difficult-to-implement, the increasing number of external destabilizing factors (including the high level of false alarms), the increase of scopes and speed of information changes, and the drawbacks inherent to most databases, the probability of anomalies occurrence in the process of operation (acquisition, processing and storage) of relational databases is high. The article provides detailed description of the method for the construction a formal grammar executed by a SQL query of relational databases. This approach considers formal grammar under study from a mathematical point of view, as a model that defines a set of discrete objects in the form of description of the original objects and the rules for constructing new objects from the original and already created ones. Thus, a system of rules for further work is formed, represented in the form of a system of equations. The described method makes it possible to determine mathematical properties of the similarity invariants of the SQL query of relational databases intended for the collection, storage and analysis of statistical data, such as reference data of the operation of software and hardware, various statistical data about population, .production etc. The results of the testing of the demonstration prototype of the anomaly detection system, implemented on the basis of the proposed method, obtained in the course of the experimental implementation are presented in comparison with some existing and applied security systems. The solution proposed in the article is effective, simple and universal for the majority of currently used relational databases, In addition, it has a low cost of financial expenses in case of practical implementation.

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Pietroń, Marcin. "Analysis of performance of selected geospatial analyses implemented on the basis of relational and NoSQL databases." Polish Cartographical Review 51, no. 4 (2019): 167–79. http://dx.doi.org/10.2478/pcr-2019-0014.

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Abstract Databases are a basic component of every GIS system and many geoinformation applications. They also hold a prominent place in the tool kit of any cartographer. Solutions based on the relational model have been the standard for a long time, but there is a new increasingly popular technological trend – solutions based on the NoSQL database which have many advantages in the context of processing of large data sets. This paper compares the performance of selected spatial relational and NoSQL databases executing queries with selected spatial operators. It has been hypothesised that a non-relational solution will prove to be more effective, which was confirmed by the results of the study. The same spatial data set was loaded into PostGIS and MongoDB databases, which ensured standardisation of data for comparison purposes. Then, SQL queries and JavaScript commands were used to perform specific spatial analyses. The parameters necessary to compare the performance were measured at the same time. The study’s results have revealed which approach is faster and utilises less computer resources. However, it is difficult to clearly identify which technology is better because of a number of other factors which have to be considered when choosing the right tool.

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Rakhmawati, Nur Aini, Muhammad Zuhri, Radityo Prasetianto Wibowo, Anwar Romadhon, Herdy Ardiansyah, and Olive Khoirul. "Benchmarking MySQL and NoSQL Databases on Egovbench Application." Journal of Information Technology and Its Utilization 2, no. 1 (2019): 18. http://dx.doi.org/10.30818/jitu.2.1.2080.

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E-Government is a result of technological advances in the government field. E-government assessment is needed to encourage the development of e-government in a better direction. The e-Government assessment can be measured using the Egovbench application. Egovbench performs crawling to obtain information from related websites or social media. The process of crawling done by Egovbench produces extensive data, which reduced performance in data processing. Therefore, there is a need for a database solution that has the best performance such as high processing speed and small database size. This study examined the comparison between relational databases and non-relational databases based on selected metrics to obtain the most suitable database solution for Egovbench. The results show that the MySQL database has the advantage of complex query processing and the use of the database with the smallest storage space. MongoDB database has the advantage of low data transfer volumes. Couchbase database has the advantage of short and straightforward query processing with a high number. The evaluation results show that MySQL is more suitable for Egovbench needs, which is the best response time and query per second. MySQL outperformed the other two databases on backup and storage file sizes testing.

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Dorożyński, Janusz, and Maciej Przepiórka. "Estimating the performance efficiency of ERP system with the relational database in a heterogenic environment." Bulletin of the Military University of Technology 68, no. 1 (2019): 33–49. http://dx.doi.org/10.5604/01.3001.0013.1465.

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The article presents a study of the performance of a commercial ERP system, operating in the 2W model with a relational database installed on the IBM mainframe platform, as well as business logic and presentation server installed on the Windows Server platform. The study was carried out in accordance with the developed methodology by means of recording the time of performing system functions indicated in the own document “Time-use profile of the ERP system under test”. Consulting sessions were also held. Based on the results of the research, a recommendation was made to migrate production relational databases to the Windows Server environment. Keywords: IT, relational database, ERP, MRPII, three-layer architecture, application performance.

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Noordegraaf, Julia, Kathleen Lotze, and Jaap Boter. "Writing Cinema Histories with Digital Databases." TMG Journal for Media History 21, no. 2 (2018): 106. http://dx.doi.org/10.18146/2213-7653.2018.369.

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The increasing availability of films and cinema-related heritage in digital form, as well as the creation and use of structured datasets related to the contexts of film production, distribution and consumption, have invited the use of new, computational approaches for studying cinema and its history. In this article, we review the online database Cinema Context (www.cinemacontext.nl) and its impact on the study of historical film cultures. Cinema Context is a relational database and research instrument for studying the history of film culture in the Netherlands. After an introduction to Cinema Context and its position within the international research context, we address its usage in order to discuss the opportunities and challenges of transforming a complex phenomenon such as Dutch film culture into structured data, and we reflect on its implications for film historical research.

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Ďuračiová, R. "Querying Uncertain Data in Geospatial Object-relational Databases Using SQL and Fuzzy Sets." Slovak Journal of Civil Engineering 21, no. 4 (2013): 1–12. http://dx.doi.org/10.2478/sjce-2013-0016.

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Abstract This paper deals with uncertainty modeling in spatial object-relational databases by the use of Structured Query Language (SQL). The fundamental principles of uncertainty modeling by fuzzy sets are applied in the area of geographic information systems (GIS) and spatial databases. A spatial database system includes types of spatial data and implements the spatial extension of SQL. The implementation of the principles of fuzzy logic to spatial databases brings an opportunity for the efficient processing of uncertain data, which is important, especially when using various data sources (e.g., multi-criteria decision making (MCDM) on the basis of heterogeneous spatial data resources). The modeling and data processing of uncertainties are presented in relation to the applicable International Organization for Standardization (ISO) standards (standards of the series 19100 Geographic information) and the relevant specifications of the Open Geospatial Consortium (OGC). The fuzzy spatial query approach is applied and tested on a case study with a fundamental database for GIS in Slovakia.

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Rabin, Colette. "Co-Teaching: Collaborative and Caring Teacher Preparation." Journal of Teacher Education 71, no. 1 (2019): 135–47. http://dx.doi.org/10.1177/0022487119872696.

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This study investigated what happened during the implementation of a co-teaching model for student-teaching from a relational perspective. When analyzed through the theoretical framework of care ethics, teacher-candidates and their mentor-teachers developed caring relationships, acknowledged and negotiated differential power dynamics, and described cultivating a caring climate through dialogue and modeling.

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MacCarrick, Geraldine R. "Professional medical leadership: a relational training model." Leadership in Health Services 27, no. 4 (2014): 343–54. http://dx.doi.org/10.1108/lhs-03-2014-0024.

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Purpose – This paper aims to describe the educational philosophy and practice underpinning the Royal Australasian College of Medical Administrators (RACMA) program and how it is aligned with the needs of the Australian and New Zealand health care systems. Preparing future doctors as medical leaders requires keeping pace with developments in medical education and increased sophistication on the part of teaching and supervising faculty. Design/methodology/approach – This paper is a descriptive case study. The data are complemented by workforce data and excerpts from the RACMA Management and Leadership Curriculum. Findings – The RACMA has developed a program informed by current best practices in medical education. The educational underpinnings and instructional practices of the RACMA emphasize leadership as a collaborative social process and the importance of relational leadership in successful modern day practice. The ongoing development of the program has a focus on setting of clear learning objectives, regular and continuous feedback to trainees and reflective practice facilitated by the close relationship between trainees and their preceptor. Research limitations/implications – Although a site-specific case study, the application of relational models of teaching can be applied in other settings. Practical implications – The application of relational models of teaching can be applied in other settings. Social implications – This paper fulfils a social need to describe successful competency models used for medical leadership development. Originality/value – This paper fulfils an identified need to define competency models used as a foundation for medical leadership development.

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