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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Shantanu Seth Sivakumar Ramakrishnan Decision Science Chicago USA Statistical Programming Innovation & AI Chicago USA

ISBN: (数字)9798331515683

ISBN: (纸本)9798331515690

Measuring the effect of multichannel marketing strategies requires advanced algorithms which create unique challenges for the pharmaceutical industry's marketing efforts. The latest Multi-Touch Attribution (MTA) model evaluates multiple touchpoints within a customer journey and gains acclaim as the prime method for resource optimization. The study investigates the advanced MTA methods involving Shapley and Markov chain models and their practical uses in pharmaceutical marketing. The Shapley value uses cooperative game theory principles to distribute credit fairly among different touchpoints. Markov chains function to model the probability of sequential exchanges between customers and sellers. The Shapley value and Markov chain methods present more detailed results than those generated by standard last-click or heuristic-based models. The research paper presents an evaluative framework demonstrating these methods' functionality. Pharmaceutical companies using advanced MTA methods improve their management of intricate customer pathways and regulatory challenges. The study serves as a pathway that enables company marketers and data analysts to implement innovative tools to achieve improved results through strategic planning and resource distribution.

关键词： Analytical models Technological innovation Computational modeling Companies Strategic planning Resource management Pharmaceutical industry Optimization Standards Pharmaceuticals

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Quantitative determination of Nebivolol Hydrochloride and Rosuvastatin Calcium in laboratory prepared mixture by robust, high-performance liquid chromatographic method

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Discover Chemistry 2025年第1期2卷 1-16页

作者： Bolla, Sandeep Boggula, Narender Department of Statistical Programming Fortrea (Formerly LabCorp) Durham USA Department of Pharmaceutical Chemistry Omega College of Pharmacy Hyderabad India

A robust and eco-friendly high-performance liquid chromatographic (HPLC) method has been developed and validated to quantify Nebivolol Hydrochloride and Rosuvastatin Calcium in a laboratory-prepared mixture, following ICH guidelines. Utilizing a Shimpack ODS C18 column with a mobile phase consisting of Methanol, Acetonitrile, and phosphate buffer (pH 3.5, adjusted with ortho-phosphoric acid) in a 40:20:40 (v/v/v) ratio, the method achieved effective separation and detection at 281 nm. The assay demonstrated excellent linearity, precision, and accuracy for both drugs, with retention times of 2.455 min for Nebivolol and 6.197 min for Rosuvastatin. Forced degradation studies under acidic, basic, oxidative, thermal, and photolytic conditions revealed the method’s stability-indicating capability, with distinct separation of degradation products. The method’s environmental impact was assessed using the Analytical Eco Scale, AGREE metrics, and GAPI (Green Analytical Procedure Index), yielding favorable greenness scores (AES: 69, AGREE: 0.61), signifying moderate adherence to green analytical chemistry principles. This validated method is reliable for routine analysis and quality control, making it applicable to pharmaceutical and analytical laboratories.

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Customer Analytics: Using Machine Learning to Predict the Customer Life Time Value (CLTV) Based on Purchase History and Ratings

Customer Analytics: Using Machine Learning to Predict the Cu...

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Disruptive Technologies (ICDT), International Conference on

作者： Phani Chilakapati Sivakumar Ramakrishnan Ridhi Deora Anant Agarwal Data Architecture Analytics Digital Transformation Ashburn USA Statistical Programming Innovation & AI Chicago USA Product Management Manager High Point USA IT MDM & Data Governance High Point USA

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

Customer Life Time Value (CLTV) is a vital customer analytics metric that is intended to inform companies on the right investment in customer acquisition, retention, and engagement. Conventional CLTV models are heavily dependent on purchase frequency and money-value transaction information, but not customer satisfaction measurements like ratings. This paper proposes a general framework for incorporating ratings into machine learning models for CLTV prediction. Taking advantage of the merits of ensemble learning methods, the paper uses both transactional and satisfaction data to uncover the complex customer behavior dynamics. Our experimental finding indicates the better predictive performance of satisfaction-based models, providing companies with a sound basis to enhance customer analytics activities.

关键词： Analytical models Customer satisfaction Companies Predictive models Frequency measurement History Ensemble learning Disruptive technologies Random forests Investment

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Stability-indicating liquid chromatographic method for the simultaneous estimation of colchicine and rosuvastatin in combination

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Essential Chem 2025年第1期2卷

作者： Sandeep Bolla Narender Boggula a Department of Statistical Programming Fortrea Durham North Carolina USA b Department of Pharmaceutical Chemistry Omega College of Pharmacy Hyderabad India

ABSTRACTThis study focuses on developing and validating a robust, reliable, and stability-indicating reverse-phase high-performance liquid chromatography (RP-HPLC) method for the simultaneous quantification of Colchicine and Rosuvastatin in bulk and synthetic mixture. The developed method is designed to meet International Council for Harmonization (ICH) guidelines for stability-indicating assays. The mobile phase consisted of buffer (pH adjusted to 4.0 with ortho-phosphoric acid): methanol: acetonitrile: in a 50:30:20 (v/v/v) ratio, and separation was performed on a Shim-pack ODS C18 (250 mm × 4.6 mm, 5 µm) column. The method was validated for specificity, linearity, precision, accuracy, and robustness. Forced degradation studies were performed under acidic, basic, oxidative, photolytic, and thermal stress conditions. Results showed that the method is selective for the active ingredients and degradation products, with retention times for Colchicine and Rosuvastatin being approximately 5.91 and 8.44 minutes, respectively. Moreover, the greenness profile for the proposed method was assessed utilizing the analytical greenness (AGREE) metrics with a score of the later one equals to 0.61 that indicated the greenness evaluation of the method. This method can be effectively used for routine quality control and stability testing.

关键词： Colchicine and rosuvastatin COVID-19 HPLC method stability indicating method UV spectroscopy

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Geostatistics portal: A platform for statistical data geovisualization

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statistical Journal of the IAOS 2015年第3期31卷 463-470页

作者： Migacz, Mirosław Tadeusz Programming and Coordination of Statistical Surveys Department Central Statistical Office Aleja Niepodleglosci 208 Warsaw Poland

During the last 6 years Central statistical Office of Poland (CSO) made great progress in the field of geographic information systems. Up to 2008 all geographic data was kept and maintained solely on paper maps. Today those maps are used only as an archived reference material and CSO is in possession of numeric data that provides spatial reference for all desirable survey frames. Spatial address databases - a geographic representation of statistical division units and dwelling locations - were created in regional statistical offices for the whole area of Poland and verified in the field by census enumerators. Point based census data collection allowed CSO to publish georeferenced results in any desired division of space, such as territorial division units or geographical grid systems, as long as statistical confidentiality is maintained. In 2013 CSO launched the Geostatistics Portal, which allows statistical data geovisualization on choropleth and diagram maps. The Portal also serves detailed population grid maps (on a 1x1km grid). CSO constantly works on improving the Geostatistics Portal - publishing new data and developing new tools for geovisualization and spatial analysis - all this to bring statistical data closer to the people and authorities and make governance easier on all administrative levels. © 2015 - IOS Press and the authors.

关键词： census geostatistics GIS grid INSPIRE

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An empirical analysis of the utilization of multiple programming languages in open source projects 15

An empirical analysis of the utilization of multiple program...

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19th International Conference on Evaluation and Assessment in Software Engineering, EASE 2015

作者： Mayer, Philip Bauer, Alexander Programming and Software Engineering Group Ludwig-Maximilians-Universität München Germany Statistical Consulting Unit Ludwig-Maximilians-Universität München Germany

ISBN: (纸本)9781450333504

Background: Anecdotal evidence suggests that software applications are usually implemented using a combination of (programming) languages. Aim: We want to provide empirical evidence on the phenomenon of multi-language programming. Methods: We use data mining of 1150 open source projects selected for diversity from a public repository to a) investigate the projects for number and type of languages found and the relative sizes of the languages;b) report on associations between the number of languages found and the size, age, number of contributors, and number of commits of a project using a (Quasi-)Poisson regression model, and c) discuss concrete associations between the generalpurpose languages and domain-specific languages found using frequent item set mining. Results: We found a) a mean number of 5 languages per project with a clearly dominant main general-purpose language and 5 often-used DSL types, b) a significant influence of the size, number of commits, and the main language on the number of languages as well as no significant influence of age and number of contributors, and c) three language ecosystems grouped around XML, Shell/Make, and HTML/CSS. Conclusions: Multilanguage programming seems to be common in open-source projects and is a factor which must be dealt with in tooling and when assessing development and maintenance of such software systems. Copyright 2015 ACM.

关键词： Open source software

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POSSIBLE MECHANISM OF VINBLASTINE-INDUCED THROMBOCYTOSIS

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SCANDINAVIAN JOURNAL OF HAEMATOLOGY 1974年第3期12卷 179-184页

作者： KLENER, P DONNER, L HYNCICA, V SAFRANKOVA, D CHARLES UNIV HOSP DEPT MED 2 DIV HAEMATOL PRAGUE CZECHOSLOVAKIA INST HYG & EPIDEMIOL UNIT MATH & STATISTICAL METHODS & PROGRAMMING PRAGUE CZECHOSLOVAKIA

Following administration of lower doses of vinca alkaloids a significant thrombocytosis can develop. The authors have attempted to explain the mechanism of this phenomenon.40 female rats of the Wistar strain were sublethally irradiated from a60Co cobalt source. The postradiation depression phase as well as the regeneration phase (depending on intact stem cells) has an approximately parallel course in erythroid, myeloid and megakaryocyte lines. When vinblastine was administered during the period of depression, the platelet count was restored more rapidly and even significant thrombocytosis appeared. The authors suggest that this might be due to increased stem cell differentiation into the megakaryocyte compartment.

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Merging RTF files using SAS®, MSWord®, and Acrobat Distiller®

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Pharmaceutical programming 2012年第1-2期5卷 50-56页

作者： Wirtz, Oliver Global Statistical Programming Global Data Operations Monheim Germany

Producing tables, listings, and figures (TLF) is one of the key responsibilities for programmers in the pharmaceutical industry. While SAS® Software offers a wide range of procedures to produce outputs in nearly all possible formats, collating multiple documents into an overall PDF file is not a trivial task. This paper will combine main aspects and show how you can implement this procedure within your organization. All you need is SAS, MSWord® and Acrobat Distiller®.

关键词： RTF PDF PS VBScript Acrobat Distiller

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Dimension reduction with expectation of conditional difference

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statistical Theory and Related Fields 2023年第3期7卷 188-201页

作者： Wenhui Sheng Qingcong Yuan Department of Mathematical and Statistical Sciences Marquette UniversityMilwaukeeWIUSA Biostatistics and Programming SanofiUSBridgewaterNJUSA

In this article,we introduce a flexible model-free approach to sufficient dimension reduction analysis using the expectation of conditional difference *** any strict conditions,such as linearity condition or constant covariance condition,the method estimates the central subspace exhaustively and efficiently under linear or nonlinear relationships between response and *** method is especially meaningful when the response is *** also studiedthe√n-consistency and asymptotic normality of the *** efficacy of our method is demonstrated through both simulations and a real data analysis.

关键词： Central subspace expectation of conditionaldifference measure sufficientdimension reduction

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FACTORS AFFECTING USE OF MINIMUM TILLAGE FOR CORN

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AGRONOMY JOURNAL 1962年第5期54卷 447-+页

作者： VANDOREN, DM RYDER, GJ Assistant Professor of Agronomy Ohio Agr. Exp. Sta. Wooster Ohio and Associate Professor of Agronomy Ohio State Univ. Columbus Ohio. The authors wish to thank C. R. Weaver for help with IBM card programming and the statistical analysis.

Use of minimum tillage resulted in an average of 4.8 bushels per acre more corn than use of conventional tillage. Low yield levels and low rainfall combined with high degrees of land slope tended to increase this difference. Weed control practices, conventional seedbed preparation, soil surface texture and internal drainage, and previous crop had no effect on the yield difference between the tillage systems.

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