An Eye for an Eye: Impact of Sequelization and Comparison in Advertisements on Consumer’s Perception of Brands

In this paper we demonstrate that the positive effects of comparative advertising are significantly diluted when a compared-to brand retaliates. Retaliation introduces sequencing in advertisements. We therefore evaluate sequelized advertisements (both comparative and noncomparative) alongside comparative advertisements and ordinary advertisements. We show that, given no threat of comparative advertising from competitors, sequelizing a popular advertisement may be as potent as comparative advertising, in terms of improving consumers’ recall as well as preference for the sponsored brand. Furthermore, an advertisement message may be directed at core benefits (and/or attributes) that a brand promises, or at a stylized theme or storyline that use peripheral cues to indirectly convey the brand’s deliverables. We incorporate this dimension of communication focus and conclude that while comparative advertisements are more effective with objective messages, noncomparative sequelized advertisements work better with thematic or story based messages.

Bagging and boosting classification trees to predict churn.

In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms on a customer database of an anonymous U.S. wireless telecom company. Bagging is easy to put in practice and, as well as boosting, leads to a significant increase of the classification performance when applied to the customer database. Furthermore, we compare bagged and boosted classifiers computed, respectively, from a balanced versus a proportional sample to predict a rare event (here, churn), and propose a simple correction method for classifiers constructed from balanced training samples.Algorithms; Bagging; Boosting; Churn; Classification; Classifiers; Companies; Data; Gini coefficient; Methods; Performance; Rare events; Sampling; Top decile; Training;

Pharmacy value-based incentive programs: an evaluation of health plan strategies, pharmacist attitudes, and financial impact on retail stores

Since the Affordable Care Act (ACA) in 2012 health plans serving Medicare beneficiaries have begun receiving sizeable incentives (\u3e$1B) for demonstrating high ratings to quality performance scores in CMS’s Medicare star ratings program. Several of the quality measures can be directly impacted by retail pharmacists (e.g. medication adherence measures) resulting in health plans implementing programs designed to incentive retail pharmacies to work toward improving their own performance related to quality measures. While awareness of these value-based incentive (VBI) programs is growing there is still a significant lack of research which elucidates the nature of these programs and the potential impact they are having on the field of retail pharmacy. This dissertation attempts to provide a better understanding of the impact of VBI programs on retail pharmacy through three parts. The first paper provides a categorization of the three primary strategies which are being employed through current VBI programs. Furthermore the paper summarizes and provides anecdotal evidence of five distinct programs which are being considered or implemented. The second paper explores retail pharmacy’s perception of the impact of quality measures and VBI programs through quality research with retail pharmacy managers. The third paper evaluates the financial impact to retail pharmacies of three potential VBI programs. The results of this dissertation provide a step forward in exploring how retail pharmacy is being affected by healthcare’s shift toward achieving quality performance ratings

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A Qualitative Study: Forensics Coaches’ Perceptions of Administrators’ Leadership Styles and the Impact Within Their Professional Learning Communities

The purpose of this qualitative interpretive study was to explore class 5/A-6/A forensics coaches\u27 perceptions of administrators\u27 leadership styles and their impact on their professional learning communities in northeast Texas. This study was conducted through open-ended, semi-structured interviews to explore forensics coaches\u27 perceptions of administrators\u27 leadership styles and the impact within their professional learning communities. The problem that drove this study was that within schools where there may be only 1 or possibly 2 highly qualified teachers hired to teach non-core subjects, the opportunity for discourse regarding student learning, shared work-related problems, student achievement, challenges, and best practices are limited. Forensics coaches work behind closed doors, rarely collaborating with colleagues about ways to enhance coaching and teaching practices improving student success. The sample population was high school forensics coaches in Texas with 3 or more years of coaching experience in class 5/A-6/A university scholastic league. The findings indicated a preference for off-site professional learning environments, as well as a desire for administrators to apply multiple styles of leadership depending on the context. The results suggested that administrators consider implementing various modes of leadership styles within their leadership practices focused on forensics coaches\u27 professional development and strategies of leadership to provide adequate provisions to improve forensics coaches\u27 job performance. Keywords: forensics coaches, full-range leadership model, transformationa

Solving Challenging Real-World Scheduling Problems

This work contains a series of studies on the optimization of three real-world scheduling problems, school timetabling, sports scheduling and staff scheduling. These challenging problems are solved to customer satisfaction using the proposed PEAST algorithm. The customer satisfaction refers to the fact that implementations of the algorithm are in industry use. The PEAST algorithm is a product of long-term research and development. The first version of it was introduced in 1998. This thesis is a result of a five-year development of the algorithm. One of the most valuable characteristics of the algorithm has proven to be the ability to solve a wide range of scheduling problems. It is likely that it can be tuned to tackle also a range of other combinatorial problems. The algorithm uses features from numerous different metaheuristics which is the main reason for its success. In addition, the implementation of the algorithm is fast enough for real-world use.Siirretty Doriast

The Use of Chemsketch To Increase Student Learning Outcomes and Motivation In Learning Hydrocarbons

Learning motivation is an encouragement in students to be able to learn well, add skills and provide learning experiences. High learning motivation will improve learning outcomes. This research is quantitative research to determine students' learning motivation, student learning outcomes, and the relationship between learning motivation and learning outcomes in learning chemistry on Hydrocarbon material with the application of Chemsketch media. The research was conducted at SMAN 2 Merauke in Class XI IPA 1 with 28 students. The sampling technique used is simple random sampling. The research data was obtained by using learning outcomes tests and learning motivation questionnaires. The research data were analyzed descriptively and the results obtained were: (1) student learning outcomes with an average score of 81,86 with 25 students passed the test and 3 students not past the test, (2) students' learning motivation with an average score of 80, 86 with 11 people in the very high category and 17 people in the high category. Followed by quantitative data analysis to test the linearity of the data, the normality of the data, and the correlation between learning motivation and learning outcomes with the Pearson bivariate correlation test. After analyzing the results obtained that (1) there is a linear and significant relationship, (2) the data is normally distributed, (3) there is a significant relationship between learning motivation and learning outcomes.ReferencesAbidin, Z., & Ijrah, S. (2018). Hubungan Motivasi Belajar dengan Hasil Belajar Pada Siswa Kelas V SD Negeri Gugus IV Kecamatan Banuhamou Kabupaten Agam. 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Pengaruh Model Pembelajaran Dengan Mengintegrasikan Strategi Pembelajaran Cooperative Learning Tipe STAD Dengan Media Chemsketch Terhadap Hasil Belajar Siswa. Cyberspace : Jurnal Pendidikan Teknologi Informasi, 3(1), 1–7. https://doi.org/10.1017/CBO9781107415324.004Harta, J., Limbong, S. A., & Waruwu, E. E. (2020). Pengembangan Media Pembelajaran Asam Basa Inovatif Berbasis Green Labyrinth untuk SMA. J-PEK (Jurnal Pembelajaran Kimia), 5(1), 17–31. https://doi.org/10.17977/um026v5i12020p017Indriyanti, N. Y., Widisatuti, A., Suryadi, B. U., & Hasanah, N. (2020). Pemberdayaan Guru Kimia Melalui Produksi Media Pembelajaran Berbasis Aplikasi Chemsketch. Jurnal Bakti Saintek, 4(1), 23–26. https://doi.org/10.14421/jbs.1566Iqbal, M., & Tarigan, I. L. (2019). Pengaruh Model Pembelajaran Siklus Belajar 5E Menggunakan Media Animasi Terhadap Aktivitas Belajar Dan Hasil Belajar Siswa SMA Kelas XI Pada Materi Hidrolisis Garam. J-PEK (Jurnal Pembelajaran Kimia), 4(1), 31–38. https://doi.org/10.17977/um026v4i12019p031Linda, R., Herdini, & Rahmaputri, Z. (2017). Multimedia interaktif berbasis autoplay media studio 8 untuk mata pelajaran kimia pokok bahasan laju reaksi untuk kelas XI SMA/MA. Jurnal Pendidikan Kimia, 9(3), 347–351.Lumentut, R. S., Said, I., & Mustapa, K. (2017). Pengaruh Model Pembelajaran Guided Inquiry dengan Mind Map terhadap Hasil Belajar dan Motivasi Siswa pada Materi Redoks di Kelas X SMA Negeri 5 Palu. Jurnal Akademika Kimia, 6(2), 113–118. https://doi.org/10.22487/j24775185.2017.v6.i2.9242Marpaung, D. N., Siregar, L. F., & Pongkendek, J. J. (2019). The development of innovative learning material integrated with environmental activities to improve student learning outcomes on electrolyte and nonelectrolyte solution. IOP Conference Series: Earth and Environmental Science, 343(1). https://doi.org/10.1088/1755-1315/343/1/012218Marpaung, Dewi Natalia. (2019). Implementation of Active and Creative Learning Through Multimedia on the Teaching of Solubility and Solubility Product. Journal of Basic and Applied Scientific Research, 9(6), 42–46.Mbosisi, S. B., & Mustapa, K. (2018). Pengaruh Penerapan Model Pembelajaran Kooperatif Tipe Teams Games Tournament Berbasis Scramble Terhadap Motivasi dan Hasil Belajar Siswa SMA Kristen GPID Palu. Jurnal Akademika Kimia, 7(1), 36–40.Mediawati, E. (2010). Pengaruh Motivasi Belajar Mahasiswa Dan Kompetensi Dosen Terhadap Prestasi Belajar. Dinamika Pendidikan, 5(2), 134–146. https://doi.org/10.15294/dp.v5i2.4922Nazalin, N., & Muhtadi, A. (2016). Pengembangan Multimedia Interaktif Pembelajaran Kimia Pada Materi Hidrokarbon Untuk Siswa Kelas XI SMA. Jurnal Inovasi Teknologi Pendidikan, 3(2), 221. https://doi.org/10.21831/jitp.v3i2.7359Novita Yanda, S., & Safitri, Y. (2018). The Effect of Using E-learning Material on Hydrocarbon Chapter to Improve Students’ Achievement Motivation in Learning Chemistry. ICESST 2018, 843–847. https://doi.org/10.29210/20181122Palittin, I. D., Wolo, W., & Purwanty, R. (2019). Hubungan Motivasi Belajar dengan Hasil Belajar Siswa. Magistra, 6(2), 110–118.Pongkendek, J. J., Parlindungan, J. Y., & Marpaung, D. N. (2019). Effectiveness of the Application of Team Games Tournament Cooperative Learning Model (TGT) to Improve Learning Outcomes of Students of Class XI Science 1 SMA Frater Makassar in the Principal Material of Salt Hydrolysis. IOP Conference Series: Earth and Environmental Science, 343(1). https://doi.org/10.1088/1755-1315/343/1/012228Pongkendek, Jesi Jecsen, Marpaung, D. N., & Siregar, L. F. (2019). Analisis Motivasi Belajar Siswa Dengan Penerapan Model Pembelajaran Kooperatif Tipe Team Games Tournament. Musamus Journal of Science Education, 2(1), 31–38. https://doi.org/10.35724/mjose.v2i1.2243Raiyn, J., & Rayan, A. (2015). How Chemicals ’ Drawing and Modeling Improve Chemistry Teaching in Colleges of Education. World Journal of Chemical Education, 3(1), 1–4. https://doi.org/10.12691/wjce-3-1-1Sardiman. (2011). Interaksi dan Motivasi Belajar Mengajar. PT. Raja Grafindo.Septryanesti, N., & Lazulva, L. (2019). Desain Dan Uji Coba E-Modul Pembelajaran Kimia Berbasis Blog Pada Materi Hidrokarbon. JTK (Jurnal Tadris Kimiya), 4(2), 202–215. https://doi.org/10.15575/jtk.v4i2.5659Sitepu, C. P. K. (2016). Pengaruh Pemanfaatan Media Chemsketch Dalam Pembelajaran Yang Menggunakan Metode Resitasi Terhadap Motivasi Dan Hasil Belajar Kimia Di SMK Kelas XI. Jurnal Ilmiah “INTEGRITAS,” 2(1).Sitepu, C., & Simanjuntak, R. (2018). Upaya Meningkatkan Hasil Belajar Mahasiswa Pada Materi Bentuk Molekul Dengan Model Pembelajaran Kooperatif Tipe Think Pair Share (TPS) Berbantuan Media Physics Education Technology (PhET) Dan Chemsketch. JURNAL Suluh Pendidikan FKIP-UHN, 5(2), 36–47. https://doi.org/10.1017/CBO9781107415324.004Utami, H. H., Sulfikar, & Anwar, M. (2017). 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Cluster-based information retrieval by using (K-means)-hierarchical parallel genetic algorithms approach

Cluster-based information retrieval is one of the information retrieval (IR) tools that organize, extract features and categorize the web documents according to their similarity. Unlike traditional approaches, cluster-based IR is fast in processing large datasets of document. To improve the quality of retrieved documents, increase the efficiency of IR and reduce irrelevant documents from user search. In this paper, we proposed a (K-means)-hierarchical parallel genetic algorithms approach (HPGA) that combines the K-means clustering algorithm with hybrid PG of multi-deme and master/slave PG algorithms. K-means uses to cluster the population to k subpopulations then take most clusters relevant to the query to manipulate in a parallel way by the two levels of genetic parallelism, thus, irrelevant documents will not be included in subpopulations, as a way to improve the quality of results. Three common datasets (NLP, CISI, and CACM) are used to compute the recall, precision, and F-measure averages. Finally, we compared the precision values of three datasets with Genetic-IR and classic-IR. The proposed approach precision improvements with IR-GA were 45% in the CACM, 27% in the CISI, and 25% in the NLP. While, by comparing with Classic-IR, (K-means)-HPGA got 47% in CACM, 28% in CISI, and 34% in NLP