29 research outputs found
Enhancing productivity, economics and energy efficiency through precision nitrogen and water management in conservation agriculture-based maize (Zea mays) in the Indo-Gangetic Plains
Present study focuses on improving maize productivity, economics, and energy efficiency in the Indo-Gangetic Plains through the integration of CA, precision nitrogen and water management. Maize grain yield significantly differed among treatments, with CA outperforming CT by 13.3%, recording the highest yield with optimal N application (N3) and irrigation at 25% DASM. The CA incurred 23.7% lower cultivation costs (₹30,421/ha) compared to CT. Gross returns and net returns were higher under CA (₹1,16,007/ha and ₹85,586/ha) with a net benefit ratio of 2.78, showcasing its economic viability. Energy efficiency was a crucial aspect considered, with CA proving to be 33.1% more energy-efficient than CT. In different irrigation regimes, CA with W2 treatment exhibited superior energy parameters. The study also highlighted the significance of optimal N scheduling (N3) in achieving higher economic returns (₹97,927/ha) compared to conventional N splits (N1) and its integration. The most effective integration involved combining CA with precision N management (75% basal, GreenSeekerTM-guided top dressing) and irrigation at 25% DASM, resulting in higher grain yield (7.21 t/ ha), gross returns (₹132,497/ha), and impressive energy output (230,831 MJ/ha). In conclusion, CA, especially when combined with optimal irrigation and nitrogen management, not only enhances maize yield and economic returns but also proves to be more energy-efficient, promoting sustainable and resource-efficient agricultural practices. The study recommends this integrated approach for enhancing maize productivity, energy efficiency and economic returns
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training
Brain extraction, or skull-stripping, is an essential pre-processing step in neuro-imaging that has a direct impact on the quality of all subsequent processing and analyses steps. It is also a key requirement in multi-institutional collaborations to comply with privacy-preserving regulations. Existing automated methods, including Deep Learning (DL) based methods that have obtained state-of-the-art results in recent years, have primarily targeted brain extraction without considering pathologically-affected brains. Accordingly, they perform sub-optimally when applied on magnetic resonance imaging (MRI) brain scans with apparent pathologies such as brain tumors. Furthermore, existing methods focus on using only T1-weighted MRI scans, even though multi-parametric MRI (mpMRI) scans are routinely acquired for patients with suspected brain tumors. In this study, we present a comprehensive performance evaluation of recent deep learning architectures for brain extraction, training models on mpMRI scans of pathologically-affected brains, with a particular focus on seeking a practically-applicable, low computational footprint approach, generalizable across multiple institutions, further facilitating collaborations. We identified a large retrospective multi-institutional dataset of n=3340 mpMRI brain tumor scans, with manually-inspected and approved gold-standard segmentations, acquired during standard clinical practice under varying acquisition protocols, both from private institutional data and public (TCIA) collections. To facilitate optimal utilization of rich mpMRI data, we further introduce and evaluate a novel ‘‘modality-agnostic training’’ technique that can be applied using any available modality, without need for model retraining. Our results indicate that the modality-agnostic approach1 obtains accurate results, providing a generic and practical tool for brain extraction on scans with brain tumors
Efficacy of a monovalent human-bovine (116E) rotavirus vaccine in Indian children in the second year of life
Rotavirus gastroenteritis is one of the leading causes of diarrhea in Indian children less than 2 years of age. The 116E rotavirus strain was developed as part of the Indo-US Vaccine Action Program and has undergone efficacy trials. This paper reports the efficacy and additional safety data in children up to 2 years of age. In a double-blind placebo controlled multicenter trial, 6799 infants aged 6-7 weeks were randomized to receive three doses of an oral human-bovine natural reassortant vaccine (116E) or placebo at ages 6, 10, and 14 weeks. The primary outcome was severe (≥11 on the Vesikari scale) rotavirus gastroenteritis. Efficacy outcomes and adverse events were ascertained through active surveillance. We randomly assigned 4532 and 2267 subjects to receive vaccine and placebo, respectively, with over 96% subjects receiving all three doses of the vaccine or placebo. The per protocol analyses included 4354 subjects in the vaccine and 2187 subjects in the placebo group. The overall incidence of severe RVGE per 100 person years was 1.3 in the vaccine group and 2.9 in the placebo recipients. Vaccine efficacy against severe rotavirus gastroenteritis in children up to 2 years of age was 55.1% (95% CI 39.9 to 66.4; p<0.0001); vaccine efficacy in the second year of life of 48.9% (95% CI 17.4 to 68.4; p=0.0056) was only marginally less than in the first year of life [56.3% (95% CI 36.7 to 69.9; p<0.0001)]. The number of infants needed to be immunized to prevent one episode of severe RVGE in the first 2 years of life was 40 (95% CI 28.0 to 63.0) and for RVGE of any severity, it was 21 (95% CI 16.0 to 32.0). Serious adverse events were observed at the same rates in the two groups. None of the eight intussusception events occurred within 30 days of a vaccine dose and all were reported only after the third dose. The sustained efficacy of the 116E in the second year of life is reassuring
Intraspecific variation in sensitivity to ambient ultraviolet-B radiation in growth and yield characteristics of eight soybean cultivars grown under field conditions
Comparative study on cellular entry of incinerated ancient gold particles (Swarna Bhasma) and chemically synthesized gold particles
Gold nanoparticles (AuNPs) are used for a number of imaging and therapeutic applications in east and western part of the world. For thousands of years, the traditional Indian Ayurvedic approach to healing involves the use of incinerated gold ash, prepared with a variety of plant extracts and minerals depending on the region. Here, we describe the characterization of incinerated gold particles (IAuPs) in HeLa (human cells derived from cervical cancer) and HFF-1 (human foreskin fibroblast cells) in comparison to synthesized citrate-capped gold nanoparticles (AuNPs). We found that while individual IAuP crystallites are around 60 nm in size, they form large aggregates with a mean diameter of 4711.7 nm, some of which can enter cells. Fewer cells appeared to have IAuPs compared to AuNPs, although neither type of particle was toxic to cells. Imaging studies revealed that IAuPs were in vesicles, cytosol, or in the nucleus. We found that their nuclear accumulation likely occurred after nuclear envelope breakdown during cell division. We also found that larger IAuPs entered cells via macropinocytosis, while smaller particles entered via clathrin-dependent receptor-mediated endocytosis
Design and Implementation of ATM Using VPN Security
Data communications have now become a fundamental part of computing. Networks are based on varied hardware architecture and employ different software implementations. With the advances in information technology, networking becomes an essential component of everyday life in modern society. In the course of day, most of us encounter several activities that involve some interaction with a network. There are many persons behind this great invention of ATM In 1930's, Luther George Simian initially came up with the idea of creating a hole-in-the-wall machine that would allow customers to make financial transactions, John Shepherd-Barron had an idea in the 1960's for a 24/7 cash dispenser, James Good fellow was given the project of developing an automatic cash dispenser in 1965, Don Wetzel In 1968 and John D. White in May 9 1973.The methodology of solving business problem has significant scope advancement. New advancement in computer hardware technology has increased the speed of operation and data transfer and with decreasing cost of data storage hardware it is possible to store large quantity of data, cheaply. This also greatly affects the transferring of data. Such systems have advantage of high throughput, fast response.Keywords:- ATM; Data; security; DBM
Weed management in dry direct-seeded rice: a review on challenges and opportunities for sustainable rice production
Rice cultivation always remains significant for food and livelihood security. The predictions of increasing water deficiency under a changing climate and escalating labor shortages in agriculture have brought a paradigm swing in rice cultivation from conventionally flooded transplanting to direct-seeded rice (DSR). DSR cultivation can potentially address the concerns of diminishing natural resources and mounting production costs in the establishment of transplanted rice. The transition towards DSR saves water, reduces duration to maturity as well as labor required, and reduces negative environmental footprints. Despite all these recompenses, the potential yield losses through enormous weed menaces under DSR remains a challenge and may reduce yield by up to 50%. In this review, we examine the extent of weed infestation, weed shift and the losses in dry DSR (DDSR). Various regional and global scientific efforts made under DDSR have been assessed in the present and the smart weed-management strategies suggested can be adopted after scrutiny. Integration of different weed management approaches, namely prevention, cultural, mechanical, and chemical, have been discussed, which can pave the way for worldwide adoption of DDSR, especially in South Asia. In Asia, 22% of the acreage of total rice cultivation is under DSR and the region-specific integration of these weed-management approaches might reduce herbicide use in these areas by up to 50%
Climate change and its impact : Water resources adaptation strategies
79-85The impact of climate change and global warming are widespread. It is expected that climatic change caused by increase in green house gases concentration will possibly alter the global water cycle and would therefore change timing and magnitude of hydrological extremes (flooding,
droughts) and availability of surface and groundwater resources. Such changes would raise the possibility of widespread environmental and socioeconomic disturbances and have considerable implications for the future water resources planning and management practices. It is predicted that billions of people, particularly those in developing countries would face shortage of water, food and greater risk to health and life as a result of climate change. The impact is expected to be more severe in developing countries like India whose economy is largely dependent on the agriculture and is already under stress due to population increase and associated demands for energy, fresh water and food. The study presents the impacts of climatic changes on various aspects of water resources and various adaptation strategies to cope with its effects as latter are important and vital. Through adaptation societies make themselves better able to cope with the uncertain future and to reduce the negative effects of climate change
Nighttime enhancement of ionospheric parameters
240-250In the present work, ionospheric electron
content (IEC) as well as critical frequency of F2 layer (foF2) data from three
locations (low, mid and high latitudes) have been used to study the anomalous
nighttime F-region during low to moderate solar activity period, i.e. from
January 2006 to December 2010. The results show that at high and mid-latitude
locations, there is maximum percentage of enhancement in IEC and foF2 during
winter season, whereas at low latitude location, maximum percentage of
enhancement in both the parameters is during equinox. The highest total number
of enhancements in IEC parameter occurred at high latitude station Chilton,
whereas in foF2 parameter, highest total number of enhancements occurred at low
latitude station Kwajelin. Out of 1116 enhancements in IEC, 661 enhancements
occurred during pre-midnight hours and 455 during post-midnight hours. Although
out of 948 enhancements for foF2, 457 enhancements occurred during pre-midnight
hours and 491 during post-midnight hours
Soil carbon dynamics under organic farming: Impact of tillage and cropping diversity
Ecological indicators are herculean contrivance for assessing management practices' impacts on environmental changes. Soil organic carbon (SOC) potentially regulates the agricultural sustainability. Unfortunately, the SOC has been widely degraded through unsustainable land uses and agricultural practices. Hence, the efficacy of conservation tilling and diversified cropping were assessed in terms of restoration of SOC and associated soil properties in fixed plots, which are related with farm productivity and other ecosystem services under organic production systems of the Indian Himalayas. Three tillage management were selected as treatments of the study: i) conventional tilling (CT), ii) reduced tilling (RT), and iii) Zero tilling (ZT) applied to four diversified cropping systems [CS1- maize–black gram–toria, CS2 maize–black gram–buckwheat, CS3- maize–rajmash–toria and CS4 maize–rajmash–buckwheat]. The ZT had the highest SOC content (19.58 g kg−1) as well as the C pool (25.24 Mg ha−1) at a soil depth of 0–10 cm. On the contrary, ZT had the lowest ρb (1.29 Mg m3) and soil penetration resistance (1.32 MPa) at 0–5 cm and 5–10 cm soil depth. Concerning SOC partitioning, regardless of soil depth, it had been evident that more SOC were allocated in the active pool over the passive pool. Out of the diversified cropping systems, the CS2 produced a considerably higher total carbon pool of 24.98, and 23.0 Mg ha−1 at 0–10 cm, and 10–20 cm soil depths, respectively, and active and passive C pools. Hence, abolition of tillage and cultivation of legume embedding cropping systems resulted as a sustainable management system under organic farming for SOC restoration and soil quality improvement in the Himalayan ecosystem. Thus, the study suggested that the cultivation of CS2 under ZT may be promoted for efficient land resource management planning in the study region of the Indian Himalayas