Demographic and Behavioural Segmentation of Tourist at Pilgrimages in Satara of Maharashtra State

Paper aims to understand demographic and behavioural tourist segmentation at pilgrimage destinations of Satara district. There are places known for pilgrimage however, 3 well-known destinations viz. Aundh, Wai and Sajjangarh are selected for study. Structured schedule executed to interview 97 tourists at tourist sites. Descriptive and Multivariate statistical tools are used i.e. two step cluster analysis to determine the segmentation. Hypotheses proposed to test viz. There is significant difference among the demographic variable of the sample. ANOVA was used to test the hypothesis. The results show that there is significant difference in the demographic variables available in sample data. Based on demographic variables two clusters were sorted and based on behavioural pattern 2 clusters found at Wai and Sajjangarh and 3 at Aundh. Scale of demographic variable cluster quality is just adequate at all pilgrimage centres. However at behavioural based quality scale is poor at Wai, satisfactory at rest of the destination. Demographic profile denote that majority of tourist come from other than Maharashtra, family tourist, Day visitors, repeaters found more and majority have used personal car to visit the sites.. Friends and relatives reference used to know the site

Asset management of roads, evolution and techniques

The road network is one of the largest assets of the country and is mostly government owned. The agencies employed for the transport infrastructure must maintain, operate, improve, replace and preserve this asset. At the same time, the financial and human resources needed to achieve the performance goals of the road network must be managed carefully. All of this is accomplished under the public who pay for this part of the transport system, are regular users of the asset. There is an increasingly demand for improved levels of quality, in terms of safety, reliability and comfort, from the road network. For this, governments are placing greater pressures on road administrations to improve the efficiency , accountability and the management of the community’s asset. Asset management basicallly means a systematic process of maintaining, upgrading and operating assets, combining engineering principles and theories, and providing tools to facilitate a more organised and flexible approach for making the decisions necessary to achieve the public’s expectations. I have taken a portion of Rourkela road for my project work. I have analysed it using QGIS . I have taken 33 points under observation. According I got the coordinate data and from there I found curve data and found out super elevation, coefficient of friction, traffic flow value , ESWL value. Accordingly I got the values of each of these components and analysed it. I found the basic reason behind the failure of roads which is mainly due to repeated application of heavy loads and we can find the alternate routes for movement of heavy vehicles to eradicate these problems

Impact of CNG on emissions of PAHs and PCDDs/Fs from the road transport in Delhi

AbstractIn this paper we present the first estimates and inventory of polycyclic aromatic hydrocarbon (PAH) emissions from mobile sources in megacity Delhi, India for the period 1999–2006. The “COPERT 4” model was used to estimate 23–species of PAHs and 5–congeners of polychlorinated dibenzo–p–dioxins (PCDDs) and dibenzo–furans (PCDFs) from the gasoline, diesel, and CNG (compressed natural gas) fuelled vehicles.Our study shows that the total annual emissions of ∑23–PAHs from road transport has increased ~4 times and emissions of Napthalene (Nap) emerged as the most prominent (8 times), whereas a two-fold increase was seen for the carcinogen benzo[a]pyrene (BaP) and benzo[a]pyrene equivalence (BaPeq) emissions between 1999 and 2006 from the road transport alone. Further increase in total PCDDs and PCDFs by ~3 times can made air quality even worse. Estimated emission share of low molecular weight PAHs (2–ring) has increased (from 43%–85%), whereas vice-versa for ones with high molecular weights. Switch–over to CNG especially for public transport resulted into an offset of 21% emissions of ∑23–PAHs, 14% in BaP, and 15% in BaPeq for the year 2006. It is also observed that the PAH emissions from CNG fuelled vehicles have decreased, but overall increase in the share of private vehicles (1.5 times) has outweighed this benefit

Dulmage-Mendelsohn percolation: Geometry of maximally-packed dimer models and topologically-protected zero modes on diluted bipartite lattices

The classic combinatorial construct of {\em maximum matchings} probes the random geometry of regions with local sublattice imbalance in a site-diluted bipartite lattice. We demonstrate that these regions, which host the monomers of any maximum matching of the lattice, control the localization properties of a zero-energy quantum particle hopping on this lattice. The structure theory of Dulmage and Mendelsohn provides us a way of identifying a complete and non-overlapping set of such regions. This motivates our large-scale computational study of the Dulmage-Mendelsohn decomposition of site-diluted bipartite lattices in two and three dimensions. Our computations uncover an interesting universality class of percolation associated with the end-to-end connectivity of such monomer-carrying regions with local sublattice imbalance, which we dub {\em Dulmage-Mendelsohn percolation}. Our results imply the existence of a monomer percolation transition in the classical statistical mechanics of the associated maximally-packed dimer model and the existence of a phase with area-law entanglement entropy of arbitrary many-body eigenstates of the corresponding quantum dimer model. They also have striking implications for the nature of collective zero-energy Majorana fermion excitations of bipartite networks of Majorana modes localized on sites of diluted lattices, for the character of topologically-protected zero-energy wavefunctions of the bipartite random hopping problem on such lattices, and thence for the corresponding quantum percolation problem, and for the nature of low-energy magnetic excitations in bipartite quantum antiferromagnets diluted by a small density of nonmagnetic impurities.Comment: minor typos and errors fixed; further clarifications added. no substantive changes in result

Explaining engagement levels of opportunity and necessity entrepreneurs

This paper investigates differences between opportunity and necessity entrepreneurs in terms of socio-demographics, attitudes and perception of obstacles . We use the 2004 Flash Eurobarometer Survey data. Explanatory variables include gender, age, education level and self-employed parents, risk tolerance, locus of control, perceptions of four obstacles and country effects. The obstacle variables include the perception of availibility of financial support; administrative complexity; of access to information on new venture creation and an unfavorable economic climate. Using probit equations we investigate differences in the preference for self-employment of opportunity and necessity entrepreneurs. A probit equation is estimated relating the explanatory variables to opportunity versus necessity entrepreneurship. Moreover, differences in the entrepreneurial engagement of opportunity and necessity entrepreneurs are investigated on the basis of a (ordered) multinomial logit model. Findings indicate that opportunity entrepreneurs have a higher preference for self-employment because of family encouragement. Also, opportunity entrepreneurs are found to perceive of administrative complexity and an unfavorable economic climate, negatively influencing their entrepreneurial involvement, while this is not the case for necessity entrepreneurs

How can we mainstream mental health in research engaging the range of Sustainable Development Goals? A theory of change

Mental health is a leading cause of ill-health worldwide, disproportionately affects low-and-middle-income countries and, increasingly, is considered relevant across the Sustainable Development Goals (SDGs). Hence, we ask: How can we mainstream mental health in research engaging the range of SDGs? We use the UK Research and Innovation Global Challenges Research Fund (GCRF) as a case study. In a previous scoping review, we purposefully sampled non-mental health focused GCRF grants for diversity from 2015 until May-end 2020 (N = 36). In the present study, the principal investigator of each grant in this sample was invited to interview (11 accepting). Snowballing, our networks, and returning to the funding archive secured a further 15 interviews sampled for diversity (Final sample: 13 UK researchers and 13 of their overseas collaborators). A thematic analysis of this data organised key information into a trajectory from the challenges of incorporating mental health impact, to how these challenges might be overcome and, finally, to support needs. This analysis was then organised into a Theory of Change designed to promote the mainstreaming of mental health in global challenges research. We outline the implications for global challenges researchers, mental health practitioners, and global challenge research funders. One important implication is that we provide evidence to encourage funders to engage with the desire of researchers to contribute more broadly to the wellbeing of the communities with whom they work

Economics and yield performance of some short duration fruit and medicinal crops under agrisilvicultural system in rainfed uplands of Odisha

A field experiment was conducted during 2011-12 in an agrisilvicultural system consisting of two silvicultural species viz. Acacia mangium (mangium) and Gmelina arborea (gamhar) planted in 2000 at a spacing of 8m x 2m and four agricultural crops viz. Ananas comosus (pineapple), Aloe vera (aloevera), Andrographis paniculata(kalmegh) and Curcuma amada (mangoginger) were raised in the 1st week of July, 2011.The maximum volume increment were achieved by mangium with pineapple (16.53 m3/ha). Pineapple also registered the maximum fruit yield of 9981Kgha-1 under mangium and minimum under gamhar (9106 Kgha-1). The fresh leave yield of aloevera (8635Kg ha-1) was maximum under mangium which is statistically at par with gamhar. However, kalmegh recorded maximum dry plant yield of 1239 Kgha-1 under open condition followed by 1072 Kgha-1 under gamhar and 823 Kgha-1 under mangium. Similarly, mangoginger exhibited maximum rhizome yield of 3300 Kgha-1 under open condition followed by 1979 Kgha-1 under gamhar and 1597 Kgha-1 under mangium. The trend of crop yield under both the trees and open condition was: Pineapple >Aloevera>Mangoginger>Kalmegh. A. mangium with pineapple based agrisilvicultural system recorded the highest gross return, net return and BCR as compared to other agrisilvicultural systems and sole crops

Assessment of inter-population genetic diversity and preliminary evaluation of suitable clones of teak (Tectona grandis Linn. F.)

Productivity, uniformity and sustainability are the three important characters of the clonally propagated plants. With the increased use of clonal technology, the scarcity of wood products evidently decreased which has also led to reduced pressure on natural forests and ecosystem. However, the success of clonal technology rests on wise selection and deployment of suitable clones by studying the inter-population genetic diversity. The present study was conducted in a clonal seed orchard (CSO) of teak (Tectona grandis Linn. F.) comprising of 13 different clones to estimate the inter-clonal variation in terms of growth performance and genetic variability at 32 and 33 years of age. Clone ORANP2 exhibited maximum DBH (26.61cm), height (23.69 m), and stem volume (235.40 m3ha-1) with MAI of 7.133 m3ha-1year-1. The highest CAI of DBH (1.08 cm) and volume (18.558m3/ha) was reported in ORANP5 and ORANR3, respectively. The study found that clone ORANP2 is a superior genotype and thus can be recommended for vegetative multiplication and ex-situ mass planting in reforestation programmes. Both heritability and genetic advance values were low for all the plant traits studied (DBH, height and stem volume) indicating that these traits are of less use for a tree breeder for furthering the selection and breeding process on teak or other tropical hardwood species across globe

Antimicrobial susceptibility patterns of uropathogens isolated from pregnant women in KwaZulu-Natal Province: 2011 - 2016

Background. Urinary tract infection (UTI) is one of the most common infections during pregnancy, which can lead to significant maternal and perinatal morbidity and mortality if left untreated. Challenges when treating UTIs in pregnancy include fetal protection and resistance development of uropathogens. Currently, the Essential Medicines List recommends nitrofurantoin to treat cystitis and ceftriaxone to treat pyelonephritis in pregnant women.Objectives. To determine common pathogens causing UTI in pregnancy and their antibiotic susceptibility patterns.Methods. A retrospective analysis was performed of laboratory data for positive urine specimens from obstetric departments of 6 KwaZulu- Natal Province hospitals during 2011 - 2016. Identification and susceptibility testing were performed using the VITEK 2 system. Results were interpreted according to the breakpoints of the Clinical and Laboratory Standards Institute, USA.Results. From 5 971 positive urine specimens, the most common isolate was Escherichia coli (n=3 236; 54.2%), followed by Klebsiella pneumoniae (n=770; 12.9%). Group B streptococcus (GBS) (n=239; 4.0%) and Enterococcus faecalis (n=251; 4.2%) were the most common Gram-positive pathogens. E. coli displayed significant resistance to trimethoprim-sulfamethoxazole (65.1%), cephalothin (38.3%), cefuroxime (27.3%), ciprofloxacin (16.9%) and amoxicillin-clavulanic acid (17.1%). Resistance to ceftriaxone and nitrofurantoin remained low ‒ 9.1% and 7.7%, respectively. Among Gram-positive pathogens, GBS displayed 100% penicillin susceptibility and E. faecalis showed 92.9% susceptibility to ampicillin.Conclusions. E. coli is unsurprisingly the most common cause of UTI in pregnancy in KwaZulu-Natal. Susceptibility to ceftriaxone and nitrofurantoin remains good. Among Gram positives, GBS is prevalent and susceptible to penicillin, while E. faecalis is susceptible to ampicillin. As antimicrobial resistance evolves, routine surveillance is necessary to modify recommended empirical antibiotic use