26 research outputs found
An analysis of the marketing strategy of American motors corporation from a local frame of reference, 1969
No full textStock market reactions to announcements of ERP system implementation in the US
Get PDFResearch on the impact of announcements of investments in enterprise resource planning (ERP) systems has so far yielded divergent results. The present study, using data on ERP system implementation announcements of 112 predominantly Fortune 350 firms during 1990-2010, examines the impact of ERP implementation announcements on stock returns in the United States. The empirical result shows that abnormal returns of the US firms for the event window (-1, +1) on ERP system implementation announcements are positive and statistically significant. Our empirical results reveal that publicly traded companies in the US generate significant reactions in the positive direction in the stock market. The reason of this positive announcement effect is that the market stays hopeful of larger returns for the years to come with the streamlining of business processes in line with the industry's best practices. The capital market anticipates positive net future cash flows from the use of ERP systems. ERP systems enhance the efficiency and effectiveness of the firms through increasing their production flexibility and streamlining critical business processes such as sale and inventory management. Accordingly, stock market participants react positively to the announcements of ERP system implementations as is proven in this study. --P. ii.The original print copy of this thesis may be available here: http://wizard.unbc.ca/record=b180561
Data Pre-Processing for Machine Learning Models using Python Libraries
No full textData pre-processing is the process of transforming the raw data into useful dataset. Data pre-processing is one of the most important phase of any machine learning model because the quality and efficiency of any machine learning model directly depends upon the data-set, if we skip this step and design a model with data sets containing missing values then the model we have designed will not be that efficient and will be inconsistent model. This paper describes the methodology for pre-processing the data in seven sequence of steps using python powerful libraries which are open source machine learning libraries that support both supervised and unsupervised learning like pandas is a high level data manipulation tool, scikit learn which provides various tools for model fitting, data pre-processing, model selection and many other utilities. These steps include dealing with missing value, categorical values, importing data sets etc. This analysis helps in cleaning and transforming the datasets which future applied to any learning model and produce a efficient machine learning model
Low temperature resistivity plateau and non-saturating magnetoresistance in Type-II Weyl semimetal WP2
No full textEvidence for trivial Berry phase and absence of chiral anomaly in semimetal NbP
No full textAbstractThe discovery of Weyl semimetals (WSM) has brought forth the condensed matter realization of Weyl fermions, which were previously theorized as low energy excitations in high energy particle physics. Recently, transition metal mono-pnictides are under intense investigation for understanding properties of inversion-symmetry broken Weyl semimetals. Non-trivial Berry phase and chirality are important markers for characterizing topological aspects of Weyl semimetals. Most recently, theoretical calculations predict strong influence of the position of Weyl nodes with respect to Fermi surface and weak disorder that can drive WSMs into chirally symmetric Dirac semimetals. Using magneto-transport measurements in single crystals of WSM NbP, we observe an exceptionally large magnetoresistance at low temperature, which is non-saturating and linear at high fields. The origin of linear transverse magnetoresistance is assigned to charge carrier mobility fluctuations. Negative longitudinal magnetoresistance is not seen, suggesting lack of well-defined chiral anomaly in NbP. Unambiguous Shubnikov-de Haas oscillations are observed at low temperatures that are correlated to a trivial Berry phase corresponding to Fermi surface extrema at 30.5 Tesla. Our results are important towards identifying topological characteristics of Weyl semimetals and their experimental manifestations in the presence of weak disorder.</jats:p
Evidence for trivial Berry phase and absence of chiral anomaly in semimetal NbP (vol 7, 46062, 2017)
No full textApplication of h and g indices to Quantify Scientific Productivity of Physicists at JNU, India
Get PDFThe study aims to quantify the scientific productivity of Physicists using Scientometric h-index and g-index indicators. Paper also identifies that h and g are complementary to each other and g ≥h (1.5 times of h). The most productive and highly cited physicists and their average citation per item at JNU are identified. Also the study enlists the best ten high impact papers published during 2007-2011. Questionnaire was used to know research papers published (2007-2011) by the physicists at JNU. These papers were cross checked for originality, accuracy and completeness from web of science, Scopus, and by visiting journals online. Quantification of scientific productivity of physicists states that Satyabrata Patnaik occupies best three ranks in all categories which make him the high impact and most cited author among others. There is a variation in rankings according to different order h, g and g/h. The study helps to know the research trends of past and present scientific activities of Physicists at JN
