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Search Results: 1 - 10 of 87691 matches for " I. Mudita "
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GPS water level measurements for Indonesia's Tsunami Early Warning System
T. Sch?ne,W. Pandoe,I. Mudita,S. Roemer
Natural Hazards and Earth System Sciences (NHESS) & Discussions (NHESSD) , 2011, DOI: 10.5194/nhess-11-741-2011
Abstract: On Boxing Day 2004, a severe tsunami was generated by a strong earthquake in Northern Sumatra causing a large number of casualties. At this time, neither an offshore buoy network was in place to measure tsunami waves, nor a system to disseminate tsunami warnings to local governmental entities. Since then, buoys have been developed by Indonesia and Germany, complemented by NOAA's Deep-ocean Assessment and Reporting of Tsunamis (DART) buoys, and have been moored offshore Sumatra and Java. The suite of sensors for offshore tsunami detection in Indonesia has been advanced by adding GPS technology for water level measurements. The usage of GPS buoys in tsunami warning systems is a relatively new approach. The concept of the German Indonesian Tsunami Early Warning System (GITEWS) (Rudloff et al., 2009) combines GPS technology and ocean bottom pressure (OBP) measurements. Especially for near-field installations where the seismic noise may deteriorate the OBP data, GPS-derived sea level heights provide additional information. The GPS buoy technology is precise enough to detect medium to large tsunamis of amplitudes larger than 10 cm. The analysis presented here suggests that for about 68% of the time, tsunamis larger than 5 cm may be detectable.
Evaluation of Different Strategies of Intercropping Maize (Zea mays L.) and Soya Bean (Glycine max (L.) Merrill) Under Small-Holder Production in Sub-Humid Zimbabwe
I.I. Mudita,C. Chiduza,S. Richardson-Kageler,F.S. Murungu
Journal of Agronomy , 2008,
Abstract: This study compared in-row intercropping practiced by some small-holders in Chinyika in Zimbabwe with various options of strip intercropping with the aim of increasing crop diversification and stability of cereal based cropping systems. Other intercropping patterns studied include 1 maize: 1 soya bean; 2 maize: 5 soya bean; 4 maize: 4 soya bean and 5 maize: 2 soya bean rows. Both maize and soya bean were adversely affected by intercropping as shown by partial equivalent ratios (PLER). The adverse effect of competition was greater under low rainfall conditions, but irrigation and high rainfall tended to improve productivity of intercrop systems. Overall, results indicated that intercropping maize with soya bean was more efficient than sole cropping with regard to Land Equivalent Ratio (LER) and income. Strip intercropping was more productive than in-row intercropping but is used by farmers because of perceived advantages of mechanical weeding. The results suggest that from a biological point of view, greater efficiency would be achieved by adopting a strip intercropping arrangement of 5 maize: 2 soya bean rows as a cropping pattern. This arrangement was more productive than sole cropping in a season with 426 mm of rainfall when all other intercropping treatments evaluated achieved LER <1.00.
Performance of Maize (Zea mays L.) and Soya Bean [Glycine max (L.) Merrill] Cultivars of Varying Growth Habit in Intercrop in Sub-Humid Environments of Zimbabwe
I.I. Mudita,C. Chiduza,S.J. Richardson-Kageler,F.S. Murungu
Journal of Agronomy , 2008,
Abstract: The objective of this study was to intensify soybean and maize production in smallholder production systems, where land is a limiting resource. Performance during growth and final yield in intercrop was evaluated for cultivars with different growth habits. Field experiments were undertaken at two sites, in two seasons (2002/03 and 2003/04) to evaluate the response of two soybeans (Storm-a determinate and Solitaire-an indeterminate cultivar) to intercropping with three maize cultivars (a semi-erectophile SC513, a planophile PAN413 and AC31; a dwarf cultivar). Treatments were laid in a Randomised Complete Block Design (RCBD) with three replications. Intercropping significantly increased Leaf Area Index (LAI), resulted in greater yields and income per unit land area than sole crops. In 2002/03, maize and soya bean cultivars did not significantly affect Land Equivalent Ratio (LER). However, the maize cultivar by soya bean cultivar interaction significantly (p<0.01) affected LER. Maize cultivar SC513 resulted in the highest LER with Storm but the lowest with Solitaire. It was concluded that SC513, a semi-erectophile intercropped with a determinate soya bean Storm cultivar might optimise yields without significant maize yield reduction.
A domain-based approach to predict protein-protein interactions
Mudita Singhal, Haluk Resat
BMC Bioinformatics , 2007, DOI: 10.1186/1471-2105-8-199
Abstract: DomainGA is a multi-parameter optimization method in which the available PPI information is used to derive a quantitative scoring scheme for the domain-domain pairs. Obtained domain interaction scores are then used to predict whether a pair of proteins interacts. Using the yeast PPI data and a series of tests, we show the robustness and insensitivity of the DomainGA method to the selection of the parameter sets, score ranges, and detection rules. Our DomainGA method achieves very high explanation ratios for the positive and negative PPIs in yeast. Based on our cross-verification tests on human PPIs, comparison of the optimized scores with the structurally observed domain interactions obtained from the iPFAM database, and sensitivity and specificity analysis; we conclude that our DomainGA method shows great promise to be applicable across multiple organisms.We envision the DomainGA as a first step of a multiple tier approach to constructing organism specific PPIs. As it is based on fundamental structural information, the DomainGA approach can be used to create potential PPIs and the accuracy of the constructed interaction template can be further improved using complementary methods. Explanation ratios obtained in the reported test case studies clearly show that the false prediction rates of the template networks constructed using the DomainGA scores are reasonably low, and the erroneous predictions can be filtered further using supplementary approaches such as those based on literature search or other prediction methods.Understanding biological processes requires knowing not only which proteins exist in a certain organism or cell type but also how these proteins interact with each other. However, determining the protein-protein interaction (PPI) networks is a daunting task and has been the subject of extensive research. Many computational and experimental techniques have been developed to observe or predict the PPI networks in biological systems [1-5]. Despite the de
Onychomycosis: Clinico-mycologic study of 130 patients from Himachal Pradesh, India
Gupta Mudita,Sharma Nand,Kanga Anil,Mahajan Vikram
Indian Journal of Dermatology, Venereology and Leprology , 2007,
Abstract: Background: Onychomycosis is a common nail infection caused by dermatophytes, yeast or other nondermatophyte molds and has diverse clinical presentations. Although common in this part of the country, no significant clinico-mycologic data is available. Objectives: This study was carried out to document the clinico-mycologic pattern of onychomycosis in Himachal Pradesh (India). Methods: All consecutive patients of onychomycosis diagnosed clinically during March 2005 to February 2006 were studied for clinical forms, number of nails involved and severity of infection. The clippings from the most severely affected nails were subjected to potassium hydroxide (KOH) mounts for direct microscopy and fungal culture on Sabouraud′s dextrose agar. Results: These 130 patients (M:F 98:32) were between 8-76 years of age (mean 41.35 ± 14.98 years). The prevalence of onychomycosis was higher among farmers and office workers (20% each). Finger or toe nails were exclusively involved in 56.9 and 32.3% patients respectively while these were involved concurrently in the rest of the 10.8% patients. Distal and lateral subungual onychomycosis seen in 73.1% of the specimens was the most common clinical type. KOH- and culture-positivity were recorded in 59.2 and 37.6% cases respectively. Dermatophytes and yeast (Candida albicans) were isolated in 40.8% each of the cultured nail specimens while nondermatophytic molds (NDM) were cultured in 18.6% of the samples. Various dermatophytes cultured were Trichophyton rubrum (32.6%), T. mentagrophytes (6.1%) and T. verrucosum (2.1%) respectively. Aspergillus spp. (6.1%) was the most commonly isolated NDM while other detected molds were Acremonium spp., Fusarium spp,, Scopulariopsis spp., Curvularia spp. and Penicillium marneffei. Peripheral vascular disorders (7.69%), occupational trauma (13.8%), close association with animals (60.78%) and a family history of onychomycosis (26.15%) were a few of the predisposing factors identified. Conclusion: Onychomycosis is not uncommon in this part of the country and has similar clinico-mycologic profiles in the different cases detected.
Hirsutism: Clinico-investigative profile of 50 Indian patients
Sharma Nand,Mahajan Vikram,Jindal Rashmi,Gupta Mudita
Indian Journal of Dermatology , 2008,
Abstract: Background: Despite worldwide prevalence of hirsutism studies on hirsutism in Indian patients are not many. Aims: This retrospective study was carried out to assess the clinico-investigative profile of patients presenting with hirsutism. Materials and Methods: Medical records of 82 hirsutism patients diagnosed consecutively during July 2005 to October 2007 were analyzed. Results: The complete data of 50 patients aged between 13 and 47 years were available. Fifty percent patients were aged 20 to 30 years. The average F-G score was 10.3 ± 2.46. Associated signs of hyperandrogenism were acne (64%), oligomenorrhea or menstrual irregularities (36%), androgenetic alopecia (16%), acanthosis nigricans (6%) and seborrhea (4%). Polycystic ovaries were detected in 30% patients and 22% patients had elevated serum free testosterone levels. Family history of hirsutism was present in 18% patients. Conclusion: Hirsutism in Indian patients is not uncommon. Adolescent patients appear to be more concerned about hirsutism as compared to those in the older age group who were more often worried of late onset acne. All patients, however, were more concerned for facial hair than those on other body areas signifying that facial hair need to be given higher than current value in F-G score.
Development of Vitamin C Rich Value Added Beverage
Vandana Mishra,Vinita Puranik,Vinti Singh,Mudita Verma
American Journal of Food Technology , 2012,
Abstract: Amla, a richest source of vitamin C ranges upto 950 mg/100 g. Due to its astringent taste, it is not palatable for direct consumption, hence processing is essential. Present study was an effort to develop a suitable formulation for preparation of mixed amlagrape juice. The fruits juices were analyzed for its chemical composition and different formulations of mixed juices were prepared by different proportions of amla and grape juice. The prepared mixed juices were packed in glass bottle with cork cap and stored at room temperature for a period of 2 months. The products were analyzed for its keeping quality and acceptability at intervals of 10 days. The prepared, mixed juices were evaluated by a taste-testing panel for sensory attributes. Fruit mixed beverage having composition 50:50 juice, 0.4% acidity, 10% sugar (of amla juice), 15.24 Brix was found to be optimum among the other formulation.
Network Inference Algorithms Elucidate Nrf2 Regulation of Mouse Lung Oxidative Stress
Ronald C. Taylor ,George Acquaah-Mensah ,Mudita Singhal,Deepti Malhotra,Shyam Biswal
PLOS Computational Biology , 2008, DOI: 10.1371/journal.pcbi.1000166
Abstract: A variety of cardiovascular, neurological, and neoplastic conditions have been associated with oxidative stress, i.e., conditions under which levels of reactive oxygen species (ROS) are elevated over significant periods. Nuclear factor erythroid 2-related factor (Nrf2) regulates the transcription of several gene products involved in the protective response to oxidative stress. The transcriptional regulatory and signaling relationships linking gene products involved in the response to oxidative stress are, currently, only partially resolved. Microarray data constitute RNA abundance measures representing gene expression patterns. In some cases, these patterns can identify the molecular interactions of gene products. They can be, in effect, proxies for protein–protein and protein–DNA interactions. Traditional techniques used for clustering coregulated genes on high-throughput gene arrays are rarely capable of distinguishing between direct transcriptional regulatory interactions and indirect ones. In this study, newly developed information-theoretic algorithms that employ the concept of mutual information were used: the Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNE), and Context Likelihood of Relatedness (CLR). These algorithms captured dependencies in the gene expression profiles of the mouse lung, allowing the regulatory effect of Nrf2 in response to oxidative stress to be determined more precisely. In addition, a characterization of promoter sequences of Nrf2 regulatory targets was conducted using a Support Vector Machine classification algorithm to corroborate ARACNE and CLR predictions. Inferred networks were analyzed, compared, and integrated using the Collective Analysis of Biological Interaction Networks (CABIN) plug-in of Cytoscape. Using the two network inference algorithms and one machine learning algorithm, a number of both previously known and novel targets of Nrf2 transcriptional activation were identified. Genes predicted as novel Nrf2 targets include Atf1, Srxn1, Prnp, Sod2, Als2, Nfkbib, and Ppp1r15b. Furthermore, microarray and quantitative RT-PCR experiments following cigarette-smoke-induced oxidative stress in Nrf2+/+ and Nrf2?/? mouse lung affirmed many of the predictions made. Several new potential feed-forward regulatory loops involving Nrf2, Nqo1, Srxn1, Prdx1, Als2, Atf1, Sod1, and Park7 were predicted. This work shows the promise of network inference algorithms operating on high-throughput gene expression data in identifying transcriptional regulatory and other signaling relationships implicated in
A Smarter Grid for Renewable Energy: Different States of Action
Clark Koenigs,Mudita Suri,Amelia Kreiter,Caroline Elling,Julia Eagles,Tarla R. Peterson,Jennie C. Stephens,Elizabeth J. Wilson
Challenges , 2013, DOI: 10.3390/challe4020217
Abstract: Smart grid has strong potential to advance and encourage renewable energy deployment, but given the multiple motivations for smart grid, renewables are not always central in smart grid policy discussions. The term “smart grid” represents a set of technologies, including advanced meters, sensors and energy storage that are crucial for the integration of more renewable and low carbon electricity into the electric power grid. However, developing and building a smart grid is jurisdictionally complex, path dependent and context specific; states and regions are approaching grid modernization in different ways. This paper reports on a comparative analysis of smart grid development in seven U.S. states. We use state-level policy documents to learn what motivates smart grid development and how smart grid is framed in relation to renewable energy. In some states, renewable technologies are presented as an integral part of the smart grid policy discussion, while in others they are largely absent.
Proteomic and Phospho-Proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling
Amir H. Qureshi,Vineet Chaoji,Dony Maiguel,Mohd Hafeez Faridi,Constantinos J. Barth,Saeed M. Salem,Mudita Singhal,Darren Stoub,Bryan Krastins,Mitsunori Ogihara,Mohammed J. Zaki,Vineet Gupta
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0007627
Abstract: During atherogenesis and vascular inflammation quiescent platelets are activated to increase the surface expression and ligand affinity of the integrin αIIbβ3 via inside-out signaling. Diverse signals such as thrombin, ADP and epinephrine transduce signals through their respective GPCRs to activate protein kinases that ultimately lead to the phosphorylation of the cytoplasmic tail of the integrin αIIbβ3 and augment its function. The signaling pathways that transmit signals from the GPCR to the cytosolic domain of the integrin are not well defined. In an effort to better understand these pathways, we employed a combination of proteomic profiling and computational analyses of isolated human platelets. We analyzed ten independent human samples and identified a total of 1507 unique proteins in platelets. This is the most comprehensive platelet proteome assembled to date and includes 190 membrane-associated and 262 phosphorylated proteins, which were identified via independent proteomic and phospho-proteomic profiling. We used this proteomic dataset to create a platelet protein-protein interaction (PPI) network and applied novel contextual information about the phosphorylation step to introduce limited directionality in the PPI graph. This newly developed contextual PPI network computationally recapitulated an integrin signaling pathway. Most importantly, our approach not only provided insights into the mechanism of integrin αIIbβ3 activation in resting platelets but also provides an improved model for analysis and discovery of PPI dynamics and signaling pathways in the future.
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