Manisha Pal

Bio: Manisha Pal is an academic researcher from University of Calcutta. The author has contributed to research in topics: Optimal design & Mixture model. The author has an hindex of 15, co-authored 84 publications receiving 861 citations.

Optimum Mixture Design for the Detection of Synergistic Effects

Abstract: In mixture experiments, optimal designs for the estimation of parameters, both linear and non-linear, have been discussed by several authors. Optimal designs for the estimation of a subset of parameters have also been investigated. However, designs for testing the effects of certain factors and interactions have been studied only in the context of response surface models. In this article, we attempt to find the optimum design for testing the presence of synergistic effects in a mixture model. The classical F-test has been considered and the optimum design has been obtained so as to maximize the power of the test. It is observed that the barycenters are necessarily the support points of the trace-optimal design.

Optimum Designs for Pharmaceutical Experiments with Relational Constraints on the Mixing Components

Abstract: In pharmaceutical experiments, the rate of dissolution of a tablet is modeled in terms of the proportions of polymers and diluents used in the tablet. When more than one type of polymer and diluent are used, the total proportions of polymers and diluents in the tablet are generally subject to relational constraints, which give a range of acceptable values for each proportion. This paper considers two models for the mean dissolution rate subject to relational constraints on the polymers and diluents and attempts to find optimum designs for estimating the parameters in the models using the D-optimality criterion.

On Strong and Weak Confounding in a Complex System: Characterization and Examples

Abstract: SYNOPTIC ABSTRACTIn a complex system comprising of a mixture of several two – component series subsystems, we examine the notions of “Strong” and “Weak” Confounding (abbreviated as SC and WC respectively), following the work of Sethuraman (1965), Sinha and Chaudhuri (1997) and Sinha and Chattopadhyay (1997).

Validation of determinate (dt) gene-based DNA marker in inter-specific hybrid sesame and in-silico analysis of the predicted dt protein structures

Abstract: Determinacy is a desirable trait in sesame, an important oilseed crop. We have developed an inter-specific hybrid between basally branched indeterminate cultivated Sesamum indicum genotype and wild S. prostratum with no branching yet synchronous pods on the shoot. The hybrid and a few exotic sesame germplasms were successfully screened with a determinacy (dt) gene-based DNA marker. In-silico translation of the partial coding sequences of the dt gene from the two contrasting parent genotypes revealed an SNP (V159A) in S. prostratum. The predicted cytoplasmic dt protein showed a high resemblance with flowering protein centroradialis.

Miscellaneous Topics: Robust Mixtures, Random Regression Coefficients, Multi-response Experiments, Mixture–Amount Models, Blocking in Mixture Designs

Abstract: In this chapter, we dwell on some mixture design settings and present the underlying optimal designs. The purpose is to acquaint the readers with a variety of interesting and nonstandard areas of mixture designs. The chapter is divided into two parts. In Part A, we cover robust mixture designs and optimality in Scheffe and D–W models with random regression coefficients. In Part B, we discuss mixture–amount model due to Pal and Mandal (Comm Statist Theo Meth 41:665–673, 2012a), multi-response mixture models and mixture designs in blocks. We present the results already available and also some recent findings.

Survey of Literature on Continuously Deteriorating Inventory Models

Abstract: This paper presents a complete and up-to-date survey of published inventory literature for the deteriorating (decaying) inventory models. More specifically, those papers are addressed that consider the effect of deterioration as a function of the on-hand level of inventory. The basic features, extensions and generalization of various models are discussed. A classification scheme is presented along with suggestions for future research.

Trends of male factor infertility, an important cause of infertility: A review of literature.

Abstract: Infertility and problems of impaired fecundity have been a concern through ages and is also a significant clinical problem today, which affects 8-12% of couples worldwide. Of all infertility cases, approximately 40-50% is due to "male factor" infertility and as many as 2% of all men will exhibit suboptimal sperm parameters. It may be one or a combination of low sperm concentration, poor sperm motility, or abnormal morphology. The rates of infertility in less industrialized nations are markedly higher and infectious diseases are responsible for a greater proportion of infertility. The present literature will help in knowing the trends of male factor infertility in developing nations like India and to find out in future, various factors that may be responsible for male infertility.

Lifestyle factors and reproductive health: taking control of your fertility

Abstract: Approximately 10 to 15% of couples are impacted by infertility. Recently, the pivotal role that lifestyle factors play in the development of infertility has generated a considerable amount of interest. Lifestyle factors are the modifiable habits and ways of life that can greatly influence overall health and well-being, including fertility. Many lifestyle factors such as the age at which to start a family, nutrition, weight, exercise, psychological stress, environmental and occupational exposures, and others can have substantial effects on fertility; lifestyle factors such as cigarette smoking, illicit drug use, and alcohol and caffeine consumption can negatively influence fertility while others such as preventative care may be beneficial. The present literature review encompasses multiple lifestyle factors and places infertility in context for the couple by focusing on both males and females; it aims to identify the roles that lifestyle factors play in determining reproductive status. The growing interest and amount of research in this field have made it evident that lifestyle factors have a significant impact on fertility.