Suchergebnisse

This paper presents a novel defected ground structure-based slotted circular patch antenna for mm-Wave application. A circular patch antenna with a compact size of 10 mm×8 mm×0.75 mm is fabricated in the lab. The designed antenna has a 2 GHz impedance bandwidth that covers the frequency range of 42GHz to 44GHz. It achieves a directional radiation pattern for millimeter-wave applications and has a maximum realized gain of 6 dBi at the operating frequency of 42.65 GHz. Defected ground structure (DGS) is loaded on the bottom of the dielectric substrate, which improves the gain and reduces the surface wave propagation. The proposed antenna has achieved circular polarization which makes it suitable for the mm-Wave application.

BACKGROUND: Caesarean section (C-section) delivery is a serious maternal health concern in the long run. Notedly, there is a lack of studies dealing with understanding the ways and reasons of C-section deliveries becoming a public health issue in today's time in India and the measures to reduce the unnecessary caesarean sections. We have conducted this study to study the changes in the state-wise prevalence of C-section deliveries in India and understand C-section delivery's socioeconomic and biomedical predictors. MATERIALS AND METHODS: The study uses data from the fourth and fifth rounds of the National Family Health Surveys (NFHS). The per cent differences in the C-section deliveries from NFHS-4 to NFHS-5 across the states were measured through relative changes. The association between the C-section delivery and socioeconomic and biomedical factors were assessed using multiple logistic regression. RESULTS: This study revealed that the C-section deliveries are higher in the southern states than in the other parts of India. Literacy plays a vital role in C-section deliveries. The probabilities of C-section deliveries are more in 30–40 and 40 + years. The women belonging to the median wealth index category were more likely (OR–CI, 1.62 [1.55–1.66]) to undergo the C-section followed by the women from wealthy households (OR–CI, 1.46 [1.41–1.52]). CONCLUSION: The Government's health policymakers should take the initiative to reduce the C-section section delivery by means of building maternal health literacy and awareness among women and the community so that its future implications can be minimised. It is crucial to formulate a mandate and implement it in the states where C-sections are too high through community health workers and primary care providers.

Aim: The accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset. Location: Tropical forests of the Amazon basin. The permanent archive of the field plot data can be accessed at: http://dx.doi.org/10.5521/FORESTPLOTS.NET/2014_1 Methods: Two recent pantropical RS maps of vegetation carbon are compared to a unique ground-plot dataset, involving tree measurements in 413 large inventory plots located in nine countries. The RS maps were compared directly to field plots, and kriging of the field data was used to allow area-based comparisons. Results: The two RS carbon maps fail to capture the main gradient in Amazon forest carbon detected using 413 ground plots, from the densely wooded tall forests of the north-east, to the light-wooded, shorter forests of the south-west. The differences between plots and RS maps far exceed the uncertainties given in these studies, with whole regions over- or under-estimated by > 25%, whereas regional uncertainties for the maps were reported to be < 5%. Main conclusions: Pantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon-mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above-ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species ...