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Item Metadata only Strategic planning: A quantitative model for the strategic evaluation of emerging technologies(2015) Nathasit Gerdsri; Mahidol University. College of ManagementThis chapter presents a quantitative model used for evaluating the impact of emerging technologies on a company’s objective. The hierarchical model with four levels (objective–criteria–factors–technology alternatives) is structured to decompose... the complex decision problems and incorporate quantitative and qualitative aspects into the evaluation process. A new approach on applying a semi-absolute scale to quantify the values of technologies is proposed in conjunction with the determinationItem Metadata only Quantitative Determination of Clindamycin Phosphate in Gel Preparation Using PLSR Model(2023-01-01) Leanpolchareanchai J.; Mahidol UniversityQuantitative determination of clindamycin by UV spectrophotometry is limited due to the lack of any UV chromophore of clindamycin structure. In this study, UV spectrophotometry employing partial least square regression (PLSR) model was developed... with respect to highperformance liquid chromatography (HPLC) as the reference method for the quantitative determination of clindamycin phosphate in gel preparation. The successful PLSR model used UV spectral data in the region of 190-400 nm without dataPublication Metadata only A risk assessment model for offshoring using CMMI quantitative approach(2010-12-13) Morakot Choetkiertikul; Thanwadee Sunetnanta; Mahidol Universityan extension of our previous model of quantitative CMMI assessment. We further apply the best practices from the Capability Maturity Model Integration (CMMI) as a guideline for quantitative risk analysis in offshoring and using risk taxonomy from the Software... such differences is to provide a model which offers a rational and automated basis for quantifying and monitoring risks and providing specific decision-making guidance while maintaining the nature of offshoring in a distributed manner. This paper presentsPublication Metadata only Quantitative approach of Min protein researches and applications: Experiments, mathematical modeling and computer simulations(2009-12-29) Waipot Ngamsaad; Jiraporn Yojina; Paisan Kanthang; Charin Modchang; Chartchai Krittanai; Darapond Triampo; Narin Nuttawut; Wannapong Triampo; Mahidol University; Rajamangala University of Technology Phra Nakhon; South Carolina Commission on Higher Educationquantitative approaches such as experiments, modeling and simulations were provided. This review of quantitative techniques is expected to benefit not only those who want to conduct research in this area using more quantitative approaches, but also those who... using wet lab experiments, but the quantitative data remains limited. Thus in this research review, focus is on quantitative methodologies. Up-to-date information and findings regarding Min proteins, particularly MinD proteins obtained by usingPublication Metadata only A Design Thinking Model Based on Quantitative Electroencephalography in Social Emotional Learning for Attention Deficit Hyperactivity Disorder(2020-01-01) Winai Chatthong; Supalak Khemthong; Yodchanan Wongsawat; Mahidol University© 2020 International Mind, Brain, and Education Society and Wiley Periodicals, Inc. To design a social and emotional learning (SEL) skills training program for children with attention deficit hyperactivity disorder (ADHD). Quantitative.... Twelve brain locations were further predicted using a design thinking model to develop a reasonable prototype via crossover methods. Both strengths and weaknesses were found at the T5 and F7 brain regions in the ADHD group. The Fz region was a wellPublication Metadata only A semi-supervised learning framework for quantitative structure-activity regression modelling(2021-04-20) Oliver Watson; Isidro Cortes-Ciriano; James A. Watson; Faculty of Tropical Medicine, Mahidol University; University of Cambridge; Nuffield Department of Medicine; Evariste Technologies LtdMOTIVATION: Quantitative structure-activity relationship (QSAR) methods are increasingly used in assisting the process of preclinical, small molecule drug discovery. Regression models are trained on data consisting of a finite-dimensional... representation of molecular structures and their corresponding target-specific activities. These supervised learning models can then be used to predict the activity of previously unmeasured novel compounds. RESULTS: This work provides methods that solve threePublication Metadata only Chemometrics-assisted ATR-IR spectroscopy for direct quantitation of caffeic acid and rosmarinic acid in Thunbergia laurifolia leaves(2020-07-01) Chaweewan Suwanvecho; Phatharaphisit Suphakijudomkarn; Sukkamol Chinoraso; Pongtip Sithisarn; Piyanuch Rojsanga; Mahidol University© 2020, Mahidol University - Faculty of Pharmacy. Partial least squares-1 (PLS-1), a chemometrics-assisted attenuated total reflectance infrared (ATR-IR) spectroscopy method, for quantitative analysis of caffeic acid and rosmarinic acid contents... in Rang Chuet (Thunbergia laurifolia Lindl.) leaf samples was developed and validated. PLS-1 models were performed by using 69 IR spectra of calibration set samples. Leave-one-out cross validation was utilized for model construction. Prediction efficiencyPublication Metadata only A practical overview of quantitative structure-activity relationship(2009-12-01) Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Thanakorn Naenna; Virapong Prachayasittikul; Mahidol UniversityQuantitative structure-activity relationship (QSAR) modeling pertains to the construction of predictive models of biological activities as a function of structural and molecular information of a compound library. The concept of QSAR has typically... been used for drug discovery and development and has gained wide applicability for correlating molecular information with not only biological activities but also with other physicochemical properties, which has therefore been termed quantitativeItem Metadata only Development of a quantitative immunological test for detection of human IgE, IgG and IgG4 specific to house dust mite allergen(Mahidol University. Mahidol University Library and Knowledge Center, 2007) Nopparut Keawhanam; Sansnee SenawongPublication Metadata only Quantitative structure-activity relationship study of betulinic acid derivatives against HIV using SMILES-based descriptors(2018-01-01) Apilak Worachartcheewan; Alla P. Toropova; Andrey A. Toropov; Suphakit Siriwong; Jatupat Prapojanasomboon; Virapong Prachayasittikul; Chanin Nantasenamat; Istituto di Ricerche Farmacologiche Mario Negri; Mahidol Universityand development. Objective: To construct Quantitative-structure Activity Relationship (QSAR) models of betulinic acid derivatives with anti-HIV activity using Simplified Molecular-Input Line-Entry System (SMILES)-based descriptors. Methods: A data set of 107... betulinic acid derivatives and their anti-HIV activity was used to develop QSAR models. The SMILES format of the compounds was employed as descriptors for model construction using the CORAL software by means of the Monte Carlo method. Results: Constructed