281 research outputs found
Mining High Utility Dataset
High Utility Dataset mining is a popular tactics in the data mining, which bond to search all datasets having a profit higher than a customer specified minimum profit point. Although, setting appropriate value is a trouble for the customers. If the point is set to be too low, too many HUDs will be catalyzed, which may result in the mining process very ineffectual. And also, if the point is set to be too high, it results with no Products will be found. Setting value is a problem by proposing a new configuration for high utility dataset mining, where k is the desired number of Products to be mined. The new scheme for utility mining with top k HUDs in databases will provide algorithm consult on their uses and limits. The experimental estimation on datasets shows the activity of the Tagging and Opinion mining Calculations around the effective utility mining algorithms. Monisha D | Arul Kumar "Mining High Utility Dataset" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11691.pd
Figure 2 in Description of a new species of Haminoea (Gastropoda: Cephalaspidea) from India, with an account of the diversity of the genus in the Indo-West Pacific
Figure 2. Haminoea aptei sp. nov. (a) Apertural view (left image) and dorsal view (right image) (BNHS opistho 1361, H = 13 mm). (b) Apertural view (left image) and dorsal view (right image) (BNHS opistho 1343, H = 7.5 mm). (c) Apertural view (left image) and dorsal view (right image) (BNHS opistho 1344, H = 6 mm). (d) SEM, detail of jaw plate (BNHS opistho 1344). (e) SEM, detail of radula with central rachidian (BNHS opistho 1344). (f) SEM, surface of whole gizzard plate (BNHS opistho 1344). (g) SEM, detail of rachis and ridges (BNHS opistho 1344). (h) SEM, detail of ridge (BNHS opistho 1344). Scale bars: d, e, g = 20 µm; f = 100 µm; h = 5 µm.Published as part of Bharate, Monisha, Oskars, Trond R., Narayana, Sumantha, Ravinesh, Raveendhiran, Kumar, Appukuttannair Biju & Malaquias, Manuel António E., 2018, Description of a new species of Haminoea (Gastropoda: Cephalaspidea) from India, with an account of the diversity of the genus in the Indo-West Pacific, pp. 2437-2456 in Journal of Natural History 52 (37-38) on page 2444, DOI: 10.1080/00222933.2018.1533598, http://zenodo.org/record/517764
Dispersion relations and band gaps in wave number or frequency in the linear and nonlinear regimes for a coupled system with no paraxial approximation
Anemia and Blood Transfusion in Subarachnoid Hemorrhage
Anemia is a common problem among critically ill patients. Nearly two thirds of patients are anemic on admission to the intensive care unit (ICU)1 and between 70-95% of patients develop anemia by day 3.2,3 Lower hemoglobin levels decrease the oxygen carrying capacity of blood and may reduce tissue oxygenation. This is particularly detrimental for patients with subarachnoid hemorrhage (SAH) as they are subject to increased metabolic demand for oxygen from cerebral ischemia. The optimal hemoglobin concentration in patients with subarachnoid hemorrhage (SAH) is unknown. Thirty per cent of SAH patients have a hemoglobin \u3c10 g/dl during hospitalization.4 Many patients are routinely hemodiluted as a part of hypertensive, hypervolemic, hemodilution (triple H) therapy. Hemodilution may improve blood rheology, but it has also been shown to impair brain tissue oxygenation and increase secondary brain injury.
Long-term management of rice agroecosystem towards climate change mitigation
The Intergovernmental Panel on Climate Change recognize to agriculture the responsibility for about 15 % of global anthropogenic greenhouse gas (GHG) emissions, contributing to global warming. The increasing nutrient inputs in industrial agriculture affect the GHG concentration in the atmosphere and varies substantially due to rate and type of fertilizers applied to the crops, making the management more or less sustainable. In this perspective, this study has investigated at small scale the effect of different adjusted agricultural management practices, based on different nutrient dosage, to optimize the effect of rice cropping systems on carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions. Farmyard manure (FYM), rice stubbles and Azolla integrated with chemical fertilizers have been correlated with microbial and enzymatic activities, and with different carbon and nitrogen fractions in acid Inceptisol. Results have revealed that the integrated nutrient management used in rice-rice agroecosystem yielded a peak for CO2 and CH4 emissions, whereas two peaks for N2O emission. This study has shown an increase in greenhouse gas emission intensity (GHGI) and grain yield of rice in the following order: rice stubbles > FYM > Azolla and it has confirmed CH4 emission as the dominant contributor to GHGI from the rice-rice agroecosystem. When analyzed together GHGs emission and soil properties, a positive correlation was found with biological properties as well as with the different carbon and nitrogen fractions in soil. The highest GHGI has been highlighted in the treatment where recommended dose of chemical fertilizers has been combined with rice stubbles, primarily due to the increase in CH4 emissions. In contrast, the lowest GHGI has been exhibited in Azolla treated plot, probably due to the cumulative effects of the photosynthetic rate of Azolla, the release of oxygen from the Azolla roots, and the physical protection capacity of the Azolla cover, which partially avoid the CH4 diffusion from the standing water. The seasonality did not affect the estimated rates of GHGI that have been lower both in case of winter and autumn rice compared to previous studies, probably for dissimilarities in management practices. Further research is required in other cropping sequences for addressing the ecological contribution of smallholder agriculture to help reducing GHG emissions, thus, mitigating global warming with actions at local scale
EFFECTIVE USE OF RUBRICS EMBEDDED IN LEARNING MANAGEMENT SYSTEM FOR GRADING GARMENT CONSTRUCTION PROJECTS IN FASHION DESIGN
Ticket to a bubble ride: cargo sorting into exosomes and extracellular vesicles
Extracellular vesicles (EVs) are released by cells into the extracellular milieu to facilitate intercellular communication in both physiological and pathological condition. EVs contain selective repertoires of proteins, RNAs, lipids and metabolites that moderate signalling pathways in the recipient cells. The enrichment of a particular set of proteins or RNAs within the EVs highlights the existence of specific sorting mechanisms that orchestrate the selective packaging of the cargo. The molecular machinery of cargo sorting has remained obscure over the years and functional studies are required to understand this complex mechanism. In this article, we offer a brief overview of the molecular mechanisms that are known to regulate sorting of various molecules into EVs. We also discuss how different pathways of biogenesis alter the exosomal cargo as well and the implications of the cellular state on the content of the EVs. Understanding the sorting of exosomal cargo could further be exploited in clinical settings for targeted drug delivery and to block disease progression.Sushma Anand, Monisha Samuel, Sharad Kumar, Suresh Mathivana
Evaluation of ready-to-eat cocoa based functional spreads.
This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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