A Statistical Technique for Monoisotopic Peak Detection in a Mass Spectrum

2009 ◽  
Vol 02 (05) ◽  
pp. 202-216 ◽  
Author(s):  
Mourad Atlas ◽  
Susmita Datta
Keyword(s):  
Mass Spectrum ◽  
Statistical Technique ◽  
Peak Detection ◽  
Monoisotopic Peak

Organizational Change in medium and large companies of Sugamuxi Valley

1970 ◽  
Vol 15 (1) ◽  
Author(s):  
José Javier González Millán ◽  
Miryam Teresa Rodríguez Díaz ◽  
Oscar Ulises González Millán
Keyword(s):  
Organizational Change ◽  
Change Management ◽  
Organizational Structure ◽  
Descriptive Analysis ◽  
Statistical Technique ◽  
Management Processes ◽  
Low Culture

To characterize the change management processes, barriers, policies and factors that currently favor medium and large companies of the Sugamuxi Valley. The type and method of study was descriptive – explanatory. The statistical technique used was descriptive analysis using 561 surveys in medium (22) and large (18) Sugamuxi Valley companies. The biggest barriers were: adherence to rules (51.2%), multidisciplinary professions (51%), imposing the criteria of the oldest workers (47.4%) and organizational structure (43.9 %). The stimuli were: support for patents and innovations (93%), support for artistic activities (90%) and scholarships for study (90%), event registration training (79.7%) and transportation to events (82.4%). The research reveals a low culture of change, with a lack of incentives and business forms of adaptability and flexibility.Este artículo muestra la carácterización de los procesos de gestión del cambio, barreras, políticas y factores que actualmente favorecen a las medianas y grandes empresas del Valle de Sugamuxi. El tipo y método de estudio utilizado fue descriptivo - explicativo. La técnica estadística utilizada fue el análisis descriptivo mediante 561 encuestas en medianas (22) y grandes (18) empresas del Valle de Sugamuxi. Los mayores obstáculos fueron: la adhesión a las normas (51,2 %), profesiones multidisciplinares (51 %), imposición de los criterios de los trabajadores más antiguos (47,4 %) y la estructura organizacional (43,9 %). Los estímulos fueron: el apoyo a las patentes e innovaciones (93%), apoyo a las actividades artísticas (90%) y becas de estudio (90 %), registro en eventos de capacitación (79,7 %) y transporte a los eventos (82.4 %). La investigación revela una baja cultura de cambio, con falta de incentivos y formas de negocio de adaptabilidad y flexibilidad.Este artigo apresenta a caracterização dos processos de gestão de mudança, barreiras, políticas e fatores que atualmente favorecem às médias e grandes empresas do Valle de Sugamuxl. O tipo e método de estudo utilizado foi o descritivo – explicativo. A técnica estatística utilizada foi a análise descritiva mediante 561 enquetes em médias (22) e grandes (18) empresas no Valle de Sugamuxl. Os maiores obstáculos foram: a adesão às normas (51,2 %), profissões multidisciplinares (51 %), imposição dos critérios dos trabalhadores mais antigos (47,4 %), e a estrutura organizacional (43,9 %). Os estímulos foram: o apoio às patentes e inovações (93%), apoio às atividades artísticas (90%), bolsas de estudo (90%), registro em eventos de treinamento (79,7%), e transporte aos eventos (82,4%). A pesquisa revela uma cultura com poucos índices de mudança, com falta de incentivos e formas de negócios de adaptabilidade e flexibilidade.

Optimization and Quality by Design Approach for Piroxicam Fast Dissolving Tablet Formulations Using Box-Behnken Design

2020 ◽  
Vol 15 (2) ◽  
pp. 152-165
Author(s):  
Harekrishna Roy ◽  
Sisir Nandi ◽  
Ungarala Pavani ◽  
Uppuluri Lakshmi ◽  
Tamma Saicharan Reddy ◽  
...  
Keyword(s):  
Quality By Design ◽  
Methyl Cellulose ◽  
Statistical Technique ◽  
Quadratic Model ◽  
Contour Plot ◽  
Compression Technique ◽  
Disintegration Time ◽  
Box Behnken Design ◽  
The Impact ◽  
The Relationship

Background: The present study deals with the formulation and optimization of piroxicam fast dissolving tablets and analyzes the impact of an independent variable while selecting the optimized formulation utilizing Quality by Design (QbD) and Box-Behnken Design (BBD). Methods: Seventeen formulations were prepared by direct compression technique by altering the proportion of cross carmellose sodium, spray dried lactose and hydro propyl methyl cellulose (HPMC K4M). The BBD statistical technique was used to optimize formulations and correlate the relationship among all the variables. Also, the powder mixture characteristics and tablet physiochemical properties such as hardness, friability, drug content, Disintegration Time (DT) and dissolution test were determined using 900 ml of 0.1N HCl (pH-1.2) at 37 ± 0.5°C. Results: Significant quadratic model and second order polynomial equations were established using BBD. To find out the relationship between variables and responses, 3D response surface and 2D contour plot was plotted. A perturbation graph was also plotted to identify the deviation of the variables from the mean point. An optimized formula was prepared based on the predicted response and the resulting responses were observed to be close with the predicted value. Conclusion: The optimized formulation with the desired parameter and formulation with variables and responses can be obtained by BBD and could be used in the large experiment with the involvement of a large number of variables and responses.

scholarly journals Analysis of Butyl Butyrate Mass Spectrum

2018 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Abdalla Mustafa Walwil
Keyword(s):  
Mass Spectrum ◽  
Proton Transfer ◽  
Educational Work ◽  
Butyl Butyrate ◽  
Chemistry Students ◽  
Double Proton Transfer

The aim of this educational work is targeting chemistry students and interested instructors. The presented work will analyze the mass spectrum of butyl butyrate (butyl butanoate). The analysis will concentrate on the mechanisms showing how the characteristic fragments are formed. The mechanisms discussed in this paper include α-cleavage, β-cleavage, McLafferty Rearrangements, first and second proton transfer, a double proton transfer. 

scholarly journals The future is coming: promising perspectives regarding the use of machine learning in renal transplantation

2019 ◽  
Vol 41 (2) ◽  
pp. 284-287
Author(s):  
Pedro Guilherme Coelho Hannun ◽  
Luis Gustavo Modelli de Andrade
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Graft Function ◽  
Statistical Technique ◽  
Daily Routine ◽  
Learning Approaches ◽  
Post Transplantation ◽  
Chronic Allograft Rejection ◽  
Institutional Experience ◽  
Learning Principles

Abstract Introduction: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models based on standard statistics are very complex, difficult to validate and do not provide accurate prediction. Machine learning, a statistical technique that allows the computer to make future predictions using previous experiences, is beginning to be used in order to solve these issues. In the field of kidney transplantation, computational forecasting use has been reported in prediction of chronic allograft rejection, delayed graft function, and graft survival. This paper describes machine learning principles and steps to make a prediction and performs a brief analysis of the most recent applications of its application in literature. Discussion: There is compelling evidence that machine learning approaches based on donor and recipient data are better in providing improved prognosis of graft outcomes than traditional analysis. The immediate expectations that emerge from this new prediction modelling technique are that it will generate better clinical decisions based on dynamic and local practice data and optimize organ allocation as well as post transplantation care management. Despite the promising results, there is no substantial number of studies yet to determine feasibility of its application in a clinical setting. Conclusion: The way we deal with storage data in electronic health records will radically change in the coming years and machine learning will be part of clinical daily routine, whether to predict clinical outcomes or suggest diagnosis based on institutional experience.

scholarly journals An event excess observed in the deeply bound region of the 12C (K−, p) missing-mass spectrum

2020 ◽  
Vol 2020 (12) ◽  
Author(s):  
Yudai Ichikawa ◽  
Junko Yamagata-Sekihara ◽  
Jung Keun Ahn ◽  
Yuya Akazawa ◽  
Kanae Aoki ◽  
...  
Keyword(s):  
Mass Spectrum ◽  
Binding Energy ◽  
Decay Channel ◽  
Peak Shift ◽  
Bound State ◽  
Elastic Peak ◽  
Missing Mass ◽  
Decay Modes ◽  
Kaon Momentum ◽  
First Time

Abstract We have measured, for the first time, the inclusive missing-mass spectrum of the $^{12}$C$(K^-, p)$ reaction at an incident kaon momentum of 1.8 GeV/$c$ at the J-PARC K1.8 beamline. We observed a prominent quasi-elastic peak ($K^-p \rightarrow K^-p$) in this spectrum. In the quasi-elastic peak region, the effect of secondary interaction is apparently observed as a peak shift, and the peak exhibits a tail in the bound region. We compared the spectrum with a theoretical calculation based on the Green’s function method by assuming different values of the parameters for the $\bar{K}$–nucleus optical potential. We found that the spectrum shape in the binding-energy region $-300 \, \text{MeV} < B_{K} < 40$ MeV is best reproduced with the potential depths $V_0 = -80$ MeV (real part) and $W_0 = -40$ MeV (imaginary part). On the other hand, we observed a significant event excess in the deeply bound region around $B_{K} \sim 100$ MeV, where the major decay channel of $K^- NN \to \pi\Sigma N$ is energetically closed, and the non-mesonic decay modes ($K^- NN \to \Lambda N$ and $\Sigma N$) should mainly contribute. The enhancement is fitted well by a Breit–Wigner function with a kaon-binding energy of 90 MeV and width 100 MeV. A possible interpretation is a deeply bound state of a $Y^{*}$-nucleus system.

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