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Data modeling

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  • Ebook "Electron density and chemical bonding II: Theoretical charge density studies" focuses on state-of-the-art, theoretically oriented advancements in the field and offers six very different, yet important contributions. In the first chapter, Koritsanszky and coworkers revisit the pseudoatom model, which together with the maximum entropy method constitutes the core of the discipline.

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  • Ebook "Automation for food engineering: Food quality quantization and process control" discusses advanced techniques, such as medical imaging, mathematical analysis, and statistical modeling, which have proven successful in food engineering. The authors use the characteristics of food processes to describe concepts, and they employ data from food engineering applications to explain the methods. To aid in the comprehension of technical information, they provide real-world examples and case studies from food engineering projects.

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  • Ebook "The chemistry of acid rain: Sources and atmospheric processes" is to describe recent advances in the understanding of the sources and chemistry of acidic species in the atmosphere. Rates of reactions important in the formation of acids, sulfates, and nitrates have been measured. Huge amounts of reliable field data have been accumulated. Models have been developed and are being tested against bodies of field data.

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  • In ebook "Weighted network analysis: Applications in genomics and systems biology" high-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.

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  • Ebook "Computational biology: Issues and applications in oncology" provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research.

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  • This article proposes a distributed algorithm to deal with this problem, called the distributed algorithm for sequential pattern mining on a large sequence dataset using dynamic vector bit structures on the MapReduce distributed programming model (DSPDBV).

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  • Part 2 book "Process modeling, simulation and control for chemical engineers" includes content: Frequency domain dynamics; frequency domain analysis of closedloop systems; process identification, matrix properties and state variables; analysis of multivariable systems; design of controllers for multivariable processes, sampling and Z transforms; stability analysis of sampled data systems, design of digital compensators.

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  • This study emphasizes to measure the effect of service quality on purchase intention with mediating role of store image. The study majorly focused on paint brands available at stores of Manama, Bahrain. Reliability of data, descriptive analysis and Pearson correlation matrix was calculated by using SPSS. The relationship among study variables is tested trough structural equation modeling. Results highlighted that there is significant and positive relation between service quality and purchase intention of private label paint brands.

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  • This study emphasizes to measure the effect of service quality on purchase intention with mediating role of store image. The study majorly focused on paint brands available at stores of Manama, Bahrain. Reliability of data, descriptive analysis and Pearson correlation matrix was calculated by using SPSS. The relationship among study variables is tested trough structural equation modeling.

    pdf10p longtimenosee04 06-03-2024 0 0   Download

  • The challenge of trying to meet with the customers’ needs in terms of quality and quantity within best price practices (marginal profit) remains a vital part of decision making in all producing firms (manufacturing, service rendering companies, etc.). This research is born out of a concern for such challenges.

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  • Green logistic considers those actions which can minimize the ecological impact of logistics activities. The purpose of this paper is to examine the impact of green logistics activities on the circular economy indicators of ASEAN. This study has considered four ASEAN members including Malaysia, Indonesia, Thailand, and Singapore, from 2000 to 2015 with yearly observations. For analyzing the relationship between selected factors of green logistics activities and circular economy, three panel models under the title of ordinary least square OLS, fixed effect and random effect was applied.

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  • Objective of the study is to explore the moderating effect of the information sharing on the relationship of supply chain management (SCM) capabilities and business performance (BP) of Indonesia food industry. Using cross sectional research design, 500 questionnaires were distributed among the supply chain managers of food industry by using a judgmental sampling technique which yield a 40% response rate. The data was analyzed by the Structural Equation Modeling technique.

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  • Supply chain management has been widely used to deliver the products and services to end customers, which mainly effects on costumers decision. This study aims to analyze the effect of product quality on purchasing decisions partially, promotion on purchasing decisions partially, and product quality and promotion on purchasing decisions simultaneously case study Botol Sosro tea product at Giant Mall Permata Tangerang. Data collections and information are taken from populations that are the object of the research or draw samples from existing populations by using the questionnaire.

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  • In today's scenario, supply chain processes have been greatly influencing businesses and trades globally. The purpose of this research is to analyze the effects of the supply chain management on the model capabilities of innovation and competitive advantage of Indonesia traditional herbal medicine. Design research is qualitative and quantitative approaches and using data collecting technique: FGD and survey sample.

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  • This study aims to determine the effect of the successful implementation of SIPKD and human resource competencies on supply chain management and budget decision-making quality. Hypothesis-testing research is conducted using qualitative primary data collected from questionnaires. The total population of the data set was 37 local governments. Structural equation modeling is the analytical method used to measure the successful application of SIPKD and human resource competence on financial statement quality and budget decision-making quality.

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  • This study "Impact of supply chain strategy on final micro, small, and medium enterprises income tax tariff change to income tax revenue (Study in Kendari Tax Service Office)" aimed to determine the impact of the supply chain strategy in the final income tax rate of micro, small, and medium-sized enterprises on the income tax revenue. Method of collecting its data were conducted by documentation and interview. Data analysis method via descriptive analysis was conducted with interactive models.

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  • This study used a quantitative descriptive approach. A total of 300 respondents participated in this study. The data collected using random sampling technique and analyzed using the structural equation modelling (SEM) by assisting the statistical software, namely IBM AMOS-25. The results of the study show that entrepreneurial orientation and innovation have a significantly positive relationship on competitive advantages. Also, the financing factor mediates the relationship between entrepreneurial orientation and innovation on competitive advantages.

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  • The purpose of the research is to evidence the role of corporate environmental disclosure in mediating the relationship between supply chain management and corporate financial performance. Food and beverage companies listed in Indonesia Stock Exchange in period of 2014-2018 are the sample of the current research. Path Analysis with Partial Least Squares-Structural Equation Modeling (SEM) is used to analyze data.

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  • This study aims to examine the effect of the International Financial Reporting Standards (IFRS) adoption on supply chain management and earnings persistence. This research is quantitative research with multiple linear regression models. The sample used in this research is manufacturing companies listed on the Indonesia Stock Exchange (IDX). The type of data used in this study is secondary data in the form of financial statements and annual companies listed on the Stock Exchange from 2009 to 2015.

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  • The prime objective of this study is to examine the psychological effect of competition among banks on employee retention with the moderating effect of supply chain management. The population of the study was based on Indonesian banks. All the employee; managerial and nonmanagerial were selected as the respondents of the current study. Two hundred eight questionnaires were used to conduct a survey among Indonesian banks. Data were analyzed through structural Equation Modeling (SEM) by using Partial Least Square (PLS) as a statistical tool.

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