Maternal Health Situation in India: A Case Study

Maternal Health Services are one of the basic health services to be provided by nay government health system as pregnant women are one of the most vulnerable victims of dysfunctional health system, India, in spite of rapid economic progress is still farm away from the goal of lowering maternal mortality to less than 100 per 100,000 live births. It still accounts for 25.7% maternal deaths. The maternal mortality in India varies across the states. Geographical vastness and socio-cultural diversity make implementation of health sector reforms a difficult task. The chapter analyses the trends in maternal mortality and various maternal health programs implemented over the years including the maternal health care delivery system at various levels including the recent innovative strategies. It also identifies the reasons for limited success in maternal health and suggests measures to improve the current maternal health situation. It recommends improvement in maternal death reporting, evidence based, focused, long term strategy along with effective monitoring of implementation for improving Maternal Health situation. It also stress the need for regulation of private sector and proper Public Private Partnership (PPP) policy together with a strong political will for improving Maternal Health.

Screening, Market Signalling, and Capital Structure Theory

This paper develops an equilibrium model in which informational asymmetries about the qualities of products offered for sale are resolved through a mechanism which combines the signalling and costly screening approachs. The model is developed in the context of a capital market setting in which bondholders produce costly information about a firm's priori imperfectly known earnings distribution and use this information in specifyihng a bond valuation schedule to the firm. Given this schedule, the firm's optimal choices of debt-equity ratio and debt maturity structure subsequently signal to prospective shareholders the relevant parameters of the firm's earnings distribution.

Late Quaternary sea level and environmental changes from relic carbonate deposits of the Western margin of India

Relic carbonate deposits along the western margin of India occur as dolomite crusts, aragonite sands (pelletal/oolitic) and aragonite-cemented limestones, oyster shells, corals, encrusted coralline algal and foraminiferal-dominated nodules. The petrology and mineralogy of the deposits indicate that except for aragonite sands and foraminiferal nodules, the others were formed in shallow marine conditions and serve as sea level indicators. Radiocarbon dates were measured for 62 relic deposits covering the entire margin. The age of these deposits on the continental shelf off Cape Comorin and Mangalore, between 110 and 18 m depth, ranges between 12, 610 14C yr BP and 6,390 14C yr BP. On the northwestern margin of India, especially on the carbonate platform (between 64 and 100 m), the age ranges from 17,250 to 6,73014C yr BP. The relic deposits of the Gulf of Kachchh at depths between 35 and 25 m are dated at 12,550-9,63014C yr BP. The age vs. depth plot of the relic deposits further indicates that the Gulf of Kachchh was inundated much early, atleast by 15 ka, after the Last Glacial Maximum, and was subjected to uplift and subsidence during the Holocene. The carbonate platform subsided during the early Holocene. Some of the relic deposits between Cape Comorin and Mangalore plot on or, closely follow the glacio-eustatic sea level curve. Despite abundant siliciclastic flux discharged by the Narmada and Tapti during the early Holocene, the platform off these rivers is largely devoid of this flux and carbonate sedimentation continued until 6,700 14C yr BP. We suggest that the river-derived sediment flux diverted southwards under the influence of the SW monsoon current and, thereby, increased the turbidity on the shelf and slope southeast of the carbonate platform and facilitated the formation of deeper water foraminiferal nodules off Vengurla-Goa

Experimental evidence on promotion of electric and improved biomass cookstoves.

Improved cookstoves (ICS) can deliver "triple wins" by improving household health, local environments, and global climate. Yet their potential is in doubt because of low and slow diffusion, likely because of constraints imposed by differences in culture, geography, institutions, and missing markets. We offer insights about this challenge based on a multiyear, multiphase study with nearly 1,000 households in the Indian Himalayas. In phase I, we combined desk reviews, simulations, and focus groups to diagnose barriers to ICS adoption. In phase II, we implemented a set of pilots to simulate a mature market and designed an intervention that upgraded the supply chain (combining marketing and home delivery), provided rebates and financing to lower income and liquidity constraints, and allowed households a choice among ICS. In phase III, we used findings from these pilots to implement a field experiment to rigorously test whether this combination of upgraded supply and demand promotion stimulates adoption. The experiment showed that, compared with zero purchase in control villages, over half of intervention households bought an ICS, although demand was highly price-sensitive. Demand was at least twice as high for electric stoves relative to biomass ICS. Even among households that received a negligible price discount, the upgraded supply chain alone induced a 28 percentage-point increase in ICS ownership. Although the bundled intervention is resource-intensive, the full costs are lower than the social benefits of ICS promotion. Our findings suggest that market analysis, robust supply chains, and price discounts are critical for ICS diffusion

A Systems Approach To Assess Trade Dependencies in U.S. Food–Energy–Water Nexus

We present a network model of the United States (U.S.) interstate food transfers to analyze the trade dependency with respect to participating regions and embodied irrigation impacts from a food–energy–water (FEW) nexus perspective. To this end, we utilize systems analysis methods including the pointwise mutual information (PMI) measure to provide an indication of interdependencies by estimating probability of trade between states. PMI compares observed trade with a benchmark of what is statistically expected given the structure and flow in the network. This helps assess whether dependencies arising from empirically observed trade occur due to chance or preferential attachment. The implications of PMI values are demonstrated by using Texas as an example, the largest importer in the U.S. grain transfer network. We find that strong dependencies exist not only just with states (Kansas, Oklahoma, Nebraska) providing high volume of transfer to Texas but also with states that have comparatively lower trade (New Mexico). This is due to New Mexico’s reliance on Texas as an important revenue source compared to its other connections. For Texas, import interdependencies arise from geographical proximity to trade. As these states primarily rely on the commonly shared High Plains aquifer for irrigation, overreliance poses a risk for water shortage for food supply in Texas. PMI values also indicate the capacity to trade more (the states are less reliant on each other than expected), and therefore provide an indication of where the trade could be shifted to avoid groundwater scarcity. However, some of the identified states rely on GHG emission intensive fossil fuels such as diesel and gasoline for irrigation, highlighting a potential tradeoff between crop water footprint and switching to lower emissions pumping fuels

A Novel Approach on Energy Efficient AODV Algorithm for MANETs

ABSTRACT: MANETs are a collection of unstructured wireless mobile nodes which provides independence and scalability for mobile networks. It is composed of moving mobile nodes that are battery operated. In AODV routing protocol, first of all broadcast the hello message to discover the Neighbor node and then source node broadcast RREQ (Route Request) packet to Neighbor node for finding path to the destination node. If The Neighbor node having less energy, as well broadcast RREQ and it lifetime expires after some certain time (i.e. node goes down), it cannot forward RREP (Route Reply) on reverse path and also cannot carry the data from the source node that's why source node has to rebroadcast RREQ that results is overhead of the RREQ message, less packet delivery ratio and throughput and more energy consumed. These problem have to be solved so here can proposed energy efficient AODV algorithm based routing protocol. In this paper proposed, source node does not send any data packet; until no enough energy (battery life time) of intermediate node and received RREP of its neighbouring exceeds a particular threshold. In this paper also suggested two approaches for making energy efficient algorithm. The performance of the proposed protocol will simulate with the help of NS-2.34 simulator for various scenario using different parameter, also survey on energy efficient algorithm. At last finally we concluded that the proposed protocol improves energy efficiency, network throughput and network lifetimes