Consumer and Service Characteristic Segmentations in Services Marketing Using a Biologically Systematic Computational Method

2014 ◽  
Vol 8 (4) ◽  
pp. 1227-1235 ◽  
Author(s):  
Ikno Kim ◽  
Junzo Watada
Keyword(s):  
Services Marketing ◽  
Computational Method ◽  
Service Characteristic

Kajian Bauran Promosi Di Perguruan Tinggi “X”

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 175-182
Author(s):  
Alida Wahyuni
Keyword(s):  
Higher Education ◽  
Public Relations ◽  
Word Of Mouth ◽  
Personal Selling ◽  
Services Marketing ◽  
Sales Promotion ◽  
Direct Mail

Marketing of higher education falls into the category of services marketing. For “X” School, to attract potential students requires special methods and strategy. The objectives of the study are to: 1) Review and analyze of promotion mix in its effort to promote the institution; 2) review and analyze the most effective promotional mix in its effort to promote the institution. The results showed that: 1) the School has implemented a promotional mix. There are 6 ways to do that: advertising, sales promotion, publicity and public relations, personal selling, word of mouth, direct mail and e-marketing. The six ways are carried out simultaneously; 2) The most effective promotional mix is personal selling. For three years (2007, 2010, and 2011) proved it the most effective method. For 2008, the most effective promotional mix is word of mouth, dan for 2009, the most effective promotional mix is sales promotion. The most effective promotional mix in “Very Strong” category is personal selling could affect 956 students.

The Relationship Between The University Services Marketing And the Leading Orientation And Their Impact In Enhancing The University Reputation

2018 ◽  
Vol 2 (3) ◽  
pp. 110-140 ◽  
Author(s):  
Nusseibeh Ahmed Abdul Wahid
Keyword(s):  
Private Universities ◽  
Services Marketing ◽  
Correlation Relationship ◽  
Independent Variables ◽  
Marketing Orientation ◽  
University Reputation ◽  
Administrative Leaders ◽  
University Services ◽  
The University ◽  
The Relationship

The relationship between the university services marketing and the leading orientation and their impact in enhancing the university reputation: Field study on a sample of administrative leaders in       private universities in the Erbil city Objective - The current study try to find the role of marketing university services (educational services, research services, community services) and the leading orientation (research mobilization, distinction, cooperation, university policies, proactive) as independent variables in enhancing the university's reputation as dependent a variable (Social responsibility, innovation, quality of service, image of the organization) in a sample of private universities in the Erbil city. Methodology of the study - The problem of the study was determined in several questions related to the nature of the correlation relationship - the effect of independent study variables (marketing of university services and leadership orientation) and the dependent variable (the reputation of the university). For this purpose, the hypotheses were subjected to multiple tests. The study used the questionnaire as a means to obtain data from the administrative leaders of the investigated universities. - The study was used the analytical descriptive method. The main and sub-variables were described and correlation and effect relationships were analyzed between the variables using advanced statistical methods (arithmetic mean, standard deviation, percentages, Pearson correlation, multiple regression test) , And the implementation of the statistical program (SPSS-Ver.18). The study was conducted in the educational sector in the city of Erbil, in order to obtain the necessary information for the field through a questionnaire prepared for this purpose and distributed to six universities. The number of respondents was (73) (Presidents of universities, their assistants, deans, their assistants, heads of departments) at the universities in question. The value of the study: The main conclusions of the study are the existence of a significant relationship between the variables of the study and the existence of a significant effect of the independent variable marketing of university services and the leading trend in the dependent variable universities reputation and the existence of variation of the effect of independent variables in the dependent variable in the universities investigated, A set of recommendations, the most important of which is the establishment of a center for the marketing of services at the university level and at the level of each college. In order to conduct a continuous study of the labor market to determine market needs, the university should be aware of the importance of marketing orientation in university education

Aiming for a Standardized Protocol for Preparing a Process Green Synthesis Report and for Ranking Multiple Synthesis Plans to a Common Target Product

2019 ◽  
Author(s):  
john andraos
Keyword(s):  
Green Synthesis ◽  
Block Diagram ◽  
Computational Method ◽  
Borda Count ◽  
Target Product ◽  
Material Efficiency ◽  
Synthesis Report ◽  
Common Target ◽  
Greenness Index ◽  
Multiple Synthesis

This paper proposes a standardized format for the preparation of process green synthesis reports that can be applied to chemical syntheses of active pharmaceutical ingredients (APIs) of importance to the pharmaceutical industry. Such a report is comprised of the following eight sections: a synthesis scheme, a synthesis tree, radial pentagons and step E-factor breakdowns for each reaction step, a tabular summary of key material efficiency step and overall metrics for a synthesis plan, a mass process block diagram, an energy consumption audit based on heating and cooling reaction and auxiliary solvents, a summary of environmental and safety-hazard impacts based on organic solvent consumption using the Rowan solvent greenness index, and a cycle time process schedule. Illustrative examples of process green synthesis reports are given for the following pharmaceuticals: 5-HT2B and 5-HT7 receptors antagonist (Astellas Pharma), brivanib (Bristol-Myers Squibb), and orexin receptor agonist (Merck). Methods of ranking synthesis plans to a common target product are also discussed using 6 industrial synthesis plans of apixaban (Bristol-Myers Squibb) as a working example. The Borda count method is suggested as a facile and reliable computational method for ranking multiple synthesis plans to a common target product using the following 4 attributes obtained from a process green synthesis report: process mass intensity, mass of sacrificial reagents used per kg of product, input enthalpic energy for solvents, and Rowan solvent greenness index for organic solvents.<br>

Five-Lump Kinetic Model for the Catalytic Cracking Process\

2018 ◽  
Vol 69 (10) ◽  
pp. 2633-2637
Author(s):  
Raluca Dragomir ◽  
Paul Rosca ◽  
Cristina Popa
Keyword(s):  
Kinetic Model ◽  
Programming Language ◽  
Catalytic Cracking ◽  
Computational Method ◽  
Industrial Data ◽  
New Model ◽  
Optimization And Control ◽  
Cracking Process ◽  
And Control ◽  
Matlab Programming

The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.

Nglyc: A Random Forest Method for Prediction of N-Glycosylation Sites in Eukaryotic Protein Sequence

2020 ◽  
Vol 27 (3) ◽  
pp. 178-186 ◽  
Author(s):  
Ganesan Pugalenthi ◽  
Varadharaju Nithya ◽  
Kuo-Chen Chou ◽  
Govindaraju Archunan
Keyword(s):  
Random Forest ◽  
Protein Sequence ◽  
Glycosylation Site ◽  
Computational Method ◽  
The Other ◽  
Eukaryotic Protein ◽  
Random Forest Method ◽  
Glycosylation Sites ◽  
Human And Mouse ◽  
Better Than

Background: N-Glycosylation is one of the most important post-translational mechanisms in eukaryotes. N-glycosylation predominantly occurs in N-X-[S/T] sequon where X is any amino acid other than proline. However, not all N-X-[S/T] sequons in proteins are glycosylated. Therefore, accurate prediction of N-glycosylation sites is essential to understand Nglycosylation mechanism. Objective: In this article, our motivation is to develop a computational method to predict Nglycosylation sites in eukaryotic protein sequences. Methods: In this article, we report a random forest method, Nglyc, to predict N-glycosylation site from protein sequence, using 315 sequence features. The method was trained using a dataset of 600 N-glycosylation sites and 600 non-glycosylation sites and tested on the dataset containing 295 Nglycosylation sites and 253 non-glycosylation sites. Nglyc prediction was compared with NetNGlyc, EnsembleGly and GPP methods. Further, the performance of Nglyc was evaluated using human and mouse N-glycosylation sites. Results: Nglyc method achieved an overall training accuracy of 0.8033 with all 315 features. Performance comparison with NetNGlyc, EnsembleGly and GPP methods shows that Nglyc performs better than the other methods with high sensitivity and specificity rate. Conclusion: Our method achieved an overall accuracy of 0.8248 with 0.8305 sensitivity and 0.8182 specificity. Comparison study shows that our method performs better than the other methods. Applicability and success of our method was further evaluated using human and mouse N-glycosylation sites. Nglyc method is freely available at https://github.com/bioinformaticsML/ Ngly.

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