CONSUMER DECISION-MAKING STYLES AND YOUNG-ADULT CONSUMERS: AN INDIAN EXPLORATION

The economy of India is on a growth spree since the last two decades. This growth has increased the shopping options available to the consumers. The present study has tried to ascertain the decision-making styles of young-adult consumers so as to provide information to marketers interested in the decision-making profile of Indian consumers and thus enabling them to build their marketing efforts accordingly. The research has made use of Sproles and Kendall’s (1986) consumer styles inventory (CSI) on a sample of 425 young-adult Indian consumers and has attempted to examine the generalisability of the scale. Factor analysis has been employed to summarise the 38 variables identified into smaller sets of linear composites that preserved most of the information in the original data. The study has confirmed the applicability of the original US characteristics as well as two new traits specific to the Indian context. Furthermore, similarities and differences between different cultures have been discussed and implications have been proffered.Consumer decision-making, Consumer Style Inventory (CSI), Young-adult consumers, Factor analysis, India

Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues

Recognizing scene text is a challenging problem, even more so than the recognition of scanned documents. This problem has gained significant attention from the computer vision community in recent years, and several methods based on energy minimization frameworks and deep learning approaches have been proposed. In this work, we focus on the energy minimization framework and propose a model that exploits both bottom-up and top-down cues for recognizing cropped words extracted from street images. The bottom-up cues are derived from individual character detections from an image. We build a conditional random field model on these detections to jointly model the strength of the detections and the interactions between them. These interactions are top-down cues obtained from a lexicon-based prior, i.e., language statistics. The optimal word represented by the text image is obtained by minimizing the energy function corresponding to the random field model. We evaluate our proposed algorithm extensively on a number of cropped scene text benchmark datasets, namely Street View Text, ICDAR 2003, 2011 and 2013 datasets, and IIIT 5K-word, and show better performance than comparable methods. We perform a rigorous analysis of all the steps in our approach and analyze the results. We also show that state-of-the-art convolutional neural network features can be integrated in our framework to further improve the recognition performance

Modeling the Pāṇinian System of Sanskrit Grammar

The present work is a study of the Aṣṭādhyāyī of Pāṇini from a new perspective. It attempts to explore the Pāṇinian system of Sanskrit grammar from a formal point of view and investigate the possibilities of representing it in a logical, explicit and consistent manner. It puts forward an appropriate framework for such a representation. Differing from the formulation of Aṣṭādhyāyī, which is composed in an artificial yet natural language and is meant to be employed by individuals who are acquainted both with the Sanskrit language and the techniques of grammar, the present rendering aims for a non-verbal representation in terms of mathematical categories and logical relations which can be implemented in an algorithmic manner. The formal framework suggested in this work would facilitate adequate tools for postulating and evaluating hypotheses about the grammatical system. Moreover, it would furnish the basis for a computer implementation of the grammar. Both these aspects are objects of enquiry in the field of theoretical studies on Pāṇini as well as the emerging discipline of Sanskrit computational linguistics. This book takes on the ground-work in these areas.Die vorliegende Arbeit untersucht aus einer neuen Perspektive Pāṇinis Aṣṭādhyāyī. Es versucht, Pāṇinis Regelwerk der Sanskrit-Grammatik aus formaler Sicht zu erforschen und die Möglichkeiten zu untersuchen, es logisch, explizit und konsistent darzustellen. Dazu wird ein geeignetes Framework für eine solche Repräsentation vorgeschlagen. Im Unterschied zur Aṣṭādhyāyī, die in einer künstlichen, aber natürlichen Sprache verfasst ist und für Personen konzipiert war, die sowohl mit der Sanskrit-Sprache als auch mit grammatischen Techniken vertraut sind, zielt die vorliegende Darstellung auf eine nonverbale Repräsentation in Form von mathematischen Kategorien und logischen Beziehungen ab, die algorithmisch umgesetzt werden können. Der in dieser Arbeit vorgeschlagene formale Rahmen würde geeignete Werkzeuge bereitstellen, um Hypothesen zum grammatischen System zu postulieren und zu evaluieren. Darüber hinaus würde er die Grundlage für eine computergestützte Implementierung der Grammatik schaffen. Beide Aspekte sind Forschungsgegenstand im Bereich der theoretischen Studien zu Pāṇini sowie der neu entstehenden Disziplin der Sanskrit-Computerlinguistik. Dieses Buch beschäftigt sich mit der Grundlagenarbeit in diesen Bereichen

Biomass Gasification for Electricity Generation: An Integrated Approach for Development of Forest Residue-Based Projects in Rural India

Biomass gasification is generally regarded as a promising technology for various advanced application in energy production. Biomass is the only carbon-based sustainable option among the renewable energy sources. This study is focused on fostering biomass gasification for electricity generation sector in India. The study addresses four broad aspects of biomass gasification for electricity generation - feedstock properties and gasification technology, policy and regulatory framework governing the sector, financial evaluation of electricity generation from biomass gasification, and feedstock supply. The study is divided in four chapters, each of which addresses one aspect of electricity generation through biomass gasification. Based on literature, first chapter presents a brief review of various properties of biomass feedstocks that are critical for gasification. It reviews the thermochemical conversion processes and the major issues related with biomass gasification with reference to some promising gasifier technology systems. Based on literature, second chapter examines the importance of national and sub-national policies supporting the development of bioenergy industry (including gasification for electricity generation) in various countries. The policies and instruments deployed globally are compared with those deployed in India. Third chapter posits a framework for conducting financial evaluation of a gasification power project. A case study of pine needle gasification power project in a remote rural area of Northern India is considered. In absence of historical data related with similar projects, a probability distribution for the Net Present Value (NPV) for the project is generated with the help of Monte Carlo Simulation. The simulation for NPV uses estimates of input variables from the data gathered from an existing pine needle based gasifier operating in the study area. Continuing with the case study, fourth chapter studies the villagers’ perspective on supplying pine needles to the gasification project. . A survey was administered to estimate villagers’ willingness to collect pine needles from the forests and supply it at a price to the gasification project. The willingness is modeled on demographic, livelihood, and latent factors, that are used in a Multinomial Logistic Regression Model to estimate the probability of households’ willingness to collect and supply pine needles to the project

Sophistication in Service Exports and Economic Growth

Services can now be stored and traded digitally, and they are not subject to many of the trade barriers that physical exports have to overcome. Services are no longer exclusively an input for trade in goods, but have become a “final export” for direct consumption. It is important to note that services not only have become more tradable, but also can be increasingly unbundled: a single service activity in the global supply chain can now be fragmented and done separately at different geographic locations. This has led to a new channel of growth—what we call service export sophistication.Exports, service exports, outsourcing, trade, growth, india, trade barriers, unbundled, supply chain, sophistication, developing countires

Service export sophistication and economic growth

Can increasing sophistication in service exports lead to economic growth? Although services were historically produced primarily for domestic consumption, they are gradually becoming more productive, tradable and unbundled. The authors construct an index of"service exports sophistication"to document this phenomenon. Panel data estimations indicate a positive association between growth in per capita income and higher sophistication of service exports. The results also suggest that this phenomenon is growing in importance over time. Considering the limits of traditional industrialization in igniting global growth, the results provide an alternative channel.Economic Theory&Research,Public Sector Corruption&Anticorruption Measures,Commodities,Housing&Human Habitats,Banks&Banking Reform

Perspective of buried oxide thickness variation on triple metal-gate (TMG) recessed-S/D FD-SOI MOSFET

Recently, Fully-Depleted Silicon on Insulator (FD-SOI) MOSFETs have been accepted as a favourable technology beyond nanometer nodes, and the technique of Recessed-Source/Drain (Re-S/D) has made it more immune in regards of various performance factors. However, the proper selection of Buried-Oxide (BOX) thickness is one of the major challenges in the design of FD-SOI based MOS devices in order to suppress the drain electric penetrations across the BOX interface efficiently. In this work, the effect of BOX thickness on the performance of TMG Re-S/D FD-SOI MOSFET has been presented at 60 nm gate length. The perspective of BOX thickness variation has been analysed on the basis of its surface potential profile and the extraction of the threshold voltage by performing two-dimensional numerical simulations. Moreover, to verify the short channel immunity, the impact of gate length scaling has also been discussed. It is found that the device attains two step-up potential profile with suppressed short channel effects. The outcomes reveal that the Drain Induced Barrier Lowering (DIBL) values are lower among conventional SOI MOSFETs. The device has been designed and simulated by using 2D numerical ATLAS Silvaco TCAD simulator

Fungal biosorption of the heavy metals chromium(VI) and nickel from industrial effluent-contaminated soil

Heavy metals are ubiquitous contaminants that have accompanied man since the earliest ancient times, and unlike other environmental pollutants, they are chemical elements that man does not create or destroy. In the present study, the aim was to determine the biosorption potential of heavy metal-tolerant fungi that were isolated from compost soil samples contaminated by industrial effluents. The isolation was performed on potato dextrose agar (PDA) media supplemented with heavy metals. Chromium-Cr(VI) and nickel-Ni. The most dominant fungal species were found to be Penicillium spp. This fungus was screened for its ability to tolerate heavy metals by the plate diffusion and broth method and was highly tolerant to fungal species. The fungi were assessed for their ability to remove heavy metals from the culture media, and the culture conditions for the fungus were experimentally optimized. The isolated Penicillium species was found to show maximum growth at 35°C with media pH 6 for an incubation period of 168 hours. The isolate was able to tolerate 60-70 ppm concentrations of heavy metals under normal conditions. The ability of the isolate to take up metal was very effective, as after 96 hrs of incubation, it was capable of removing approximately 93.8% of Cr(VI) and 95.6% of Ni from the culture media, and complete uptake was observed after a 144 hr incubation period. The molecular characterization revealed the only isolate to be Penicillium rubens (Accession no. LC536286). The morphological characteristics of this fungus make it capable of biosorption of heavy metals, imparting its bioremediation potential and economic importance.

Antioxidant and Immunomodulatory Activity of the Alkaloidal Fraction of Cissampelos pareira Linn.

The alkaloidal fraction (AFCP) of roots of Cissampelos pareira Linn. was screened for in-vitro antioxidant activity and immunomodulatory activity in mice. The HPTLC finger print profile was also established for the identification of AFCP which was found to contain 0.176 % of berberine. AFCP possess strong antioxidant activity which was revealed by its ability to scavenge the stable free radical DPPH, superoxide ion and to inhibit lipid peroxidation in rat liver homogenate induced by iron/ADP/Ascorbate complex. AFCP was found to have significant immunosuppressive activity at lower doses (25 and 50 mg/kg) while no activity was observed at higher doses (75 and 100 mg/kg). Humoral antibody titre was significantly (p<0.01) lowered by AFCP at the doses of 25 and 50 mg/kg. Delayed type hypersensitivity response was also significantly (p<0.01) suppressed by the AFCP at the dose of 75 mg/kg. Thus the present study revealed the immunosuppressive and antioxidant activities of the alkaloidal fraction of C. pareira roots