1,246 research outputs found

    The logic and linguistic model for automatic extraction of collocation similarity

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    The article discusses the process of automatic identification of collocation similarity. The semantic analysis is one of the most advanced as well as the most difficult NLP task. The main problem of semantic processing is the determination of polysemy and synonymy of linguistic units. In addition, the task becomes complicated in case of word collocations. The paper suggests a logical and linguistic model for automatic determining semantic similarity between colocations in Ukraine and English languages. The proposed model formalizes semantic equivalence of collocations by means of semantic and grammatical characteristics of collocates. The basic idea of this approach is that morphological, syntactic and semantic characteristics of lexical units are to be taken into account for the identification of collocation similarity. Basic mathematical means of our model are logical-algebraic equations of the finite predicates algebra. Verb-noun and noun-adjective collocations in Ukrainian and English languages consist of words belonged to main parts of speech. These collocations are examined in the model. The model allows extracting semantically equivalent collocations from semi-structured and non-structured texts. Implementations of the model will allow to automatically recognize semantically equivalent collocations. Usage of the model allows increasing the effectiveness of natural language processing tasks such as information extraction, ontology generation, sentiment analysis and some others

    Effect of different planting geometry and herbicides for controlling the weeds in direct seeded rice

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    The efficacy of selected herbicides along with the planting geometry for weed control in direct seeded rice was evaluated under tropical conditions of Pantnagar during rainy season of 2013. Pendimethalin (1kg active ingredient (a.i.) ha-1 3 days after sowing) + bispyribac-Na (25g a.i. ha-1 28 days after sowing) + one hand weeding at 45 days after sowing and bispyribac-Na (25g a. i. ha-1 28 days after sowing) + one hand weeding at 45days after sowing had a mean grain yield of 47.95 and 37.68 while continuous drilling at 20cm and 20 x 10cm had a mean grain yield 34.72 and 34.14 qha-1 , respectively which is significantly superior than wider (25 x 25cm) spacing. Wider spacing (25 x 25cm) among planting geometry and weedy check among the weed control treatments resulted in higher uptake of nitrogen. Among the spacing, continuous drilling at 20cm and Pendimethalin (1kg a.i. ha-1) + bispyribac- Na (25g a.i. ha-1) + one hand weeding at 45 days after sowing among weed control practices proved most profitable with net returns of ` 40576 ha-1 and ` 40633 ha-1 and benefit:cost ratio of 1.7 and 1.8, respectively. It was revealed that all the weed control treatments were superior to weedy conditions

    Influence of NPK levels on growth and yield of Stevia rebaudiana Bertoni under hills of Uttarakhand

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    66-72A field experiment was carried out at CSIR-Central Institute of Medicinal and Aromatic Plant Research Centre Purara, Bageshwar, Uttarakhand, India during 2014 and 2015 in sandy loam soil on Influence of NPK levels on plant growth and yield of Stevia rebaudiana Bertoni under lower hills of Kumaon Uttarakhand were tested in a randomized block design with factorial concept in three replications. Four harvestings were taken in a year. Stevia were treated with three doses of nitrogen (100,200,300 N kg/ha), three doses of phosphorus (60,120,180 P2O5 kg/ha) and two levels of potassium (80,160 K2O kg/ha). Pooled results indicated that significantly higher dry leaf yield was obtained with nitrogen @ 300 Kg/ha (45.68 t/ha) and it was on par with 200 kg/ha (43.76 t/ha). Phosphorus @ 180/ha recorded significantly highest dry leaf yield (40.68 t/ha) and it was on par with 120 kg/ha (43.40 t/ha). Potassium @ 160 kg/ha recorded dry leaf yield of 43.12 t/ha and it was comparable with potassium @80 kg/ha (41.84 t/ha). The growth parameters viz., plant height (cm), number of branches per plant and number of leaves per plant were significantly higher with nitrogen, phosphorus and potassium @ 300 kg/ha, 180 kg/ha and 160 kg/ha, respectively which were on par with 200 kg/ha, 120 kg/ha and 80 kg/ha respectively. In pooled data nitrogen N3 i.e., 300 kg/ha recorded the highest B:C (4.60) which was on par with nitrogen @ N2 i.e., 200 kg/ha (4.34), but significantly higher than N1 i.e., 100 kg/ha (3.38). Phosphorous P3 i.e., 180 kg/ha resulted in higher B:C (4.61) which was on par with P2 i.e., 120 kg/ha (4.50). Potassium level influenced the B:C non-significantly. Significantly lowest B:C was recorded with absolute control in pooled data (2.19). Nutrient level of 300:180:160 kg/ha NPK applied in equal splits to four harvestings in a year has been considered as an economically optimum level of nutrients for stevia

    Molecular characterization of Fusarium oxysporum f. sp. ciceri causing wilt of chickpea

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    Thirty isolates of Fusarium oxysporum f. sp. ciceri were isolated from rhizosphere soil of chickpea from different locations in Northern India. The amount of genetic variation was evaluated by polymerase chain reaction (PCR) amplification with a set of 40 RAPD primers and 2 IGS primers. Less than 10% of the amplified fragments in each case were polymorphic. Genetic similarity between each of the isolates was calculated and results indicate that there was little genetic variability among the isolates collected from the different locations. At the 0.75 similarity index the isolates divides into three groups. Isolates Foc-A18, Foc-A19, Foc-A20 forming a similar group and far different from other isolates.Key words: Fusarium oxysporum f. sp. ciceri, Fusarium wilt of chickpea, RAPD, ITS, IGS

    Comparative Study between Rectangular Windows and Circular Windows Based Disparity-Map by Stereo Matching

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    Stereo matching is the basic problem to achieve human like vision capability to machines and robots. Stereo vision researches produced many local and global algorithms for stereo correspondence matching. There are two popular methods one is rectangular window-based cost aggregation another is circular window-based cost aggregation used for solving correspondence problem have attracted researches as it can be implemented in real time using parallel processors. In this paper we have done comparative study between rectangular windows and circular windows based disparity map by stereo matching. Motivated by human stereo vision, the technique uses to enhance the strategy of finding the best match to compute dense disparity map. Performance of the both method is efficient

    Isothermal Titration Calorimetric Studies on the Interaction of the Major Bovine Seminal Plasma Protein, PDC-109 with Phospholipid Membranes

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    The interaction of the major bovine seminal plasma protein, PDC-109 with lipid membranes was investigated by isothermal titration calorimetry. Binding of the protein to model membranes made up of diacyl phospholipids was found to be endothermic, with positive values of binding enthalpy and entropy, and could be analyzed in terms of a single type of binding sites on the protein. Enthalpies and entropies for binding to diacylphosphatidylcholine membranes increased with increase in temperature, although a clear-cut linear dependence was not observed. The entropically driven binding process indicates that hydrophobic interactions play a major role in the overall binding process. Binding of PDC-109 with dimyristoylphosphatidylcholine membranes containing 25 mol% cholesterol showed an initial increase in the association constant as well as enthalpy and entropy of binding with increase in temperature, whereas the values decreased with further increase in temperature. The affinity of PDC-109 for phosphatidylcholine increased at higher pH, which is physiologically relevant in view of the basic nature of the seminal plasma. Binding of PDC-109 to Lyso-PC could be best analysed in terms of two types of binding interactions, a high affinity interaction with Lyso-PC micelles and a low-affinity interaction with the monomeric lipid. Enthalpy-entropy compensation was observed for the interaction of PDC-109 with phospholipid membranes, suggesting that water structure plays an important role in the binding process

    Physiological responses of peanut (Arachis hypogaea L.) cultivars to water deficit stress: status of oxidative stress and antioxidant enzyme activities

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    From a field experiment, the changes in oxidative stress and antioxidant enzyme activities was studied in six Spanish peanut cultivars subjected to water deficit stress at two different stages viz. pegging and pod development stages. Imposition of water deficit stress significantly reduced relative water content, membrane stability and total carotenoid content in all the cultivars, whereas total chlorophyll content increased at initially and decreased at later stage. Chlorophyll a/b ratio increased under water deficit stress in most of the cultivars signifying greater damage to chlorophyll b rather than increase in chlorophyll a content. Oxidative stress measured in terms of H2O2 and superoxide radical content, and lipid peroxidation increased under water deficit stress, especially in susceptible cultivars viz. DRG 1, AK 159 and ICGV 86031. Relationship among different physiological parameters showed level of oxidative stress build-up was negatively correlated with activities of different antioxidant enzymes like superoxide dismutase, catalase, peroxidase, ascorbate peroxidase and glurathione reductase. The study concluded that in peanut water deficit stress at later stages of growth was more detrimental and an efficient antioxidant defense system manifested by higher activities of antioxidant enzymes was responsible for better stress tolerance in cultivars like ICGS 44 and TAG 24

    Two-Dimensional Materials for Advanced Solar Cells

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    Inorganic crystalline silicon solar cells account for more than 90% of the market despite a recent surge in research efforts to develop new architectures and materials such as organics and perovskites. The reason why most commercial solar cells are using crystalline silicon as the absorber layer include long-term stability, the abundance of silicone, relatively low manufacturing costs, ability for doping by other elements, and native oxide passivation layer. However, the indirect band gap nature of crystalline silicon makes it a poor light emitter, limiting its solar conversion efficiency. For instance, compared to the extraordinary high light absorption coefficient of perovskites, silicon requires 1000 times more material to absorb the same amount of sunlight. In order to reduce the cost per watt and improve watt per gram utilization of future generations of solar cells, reducing the active absorber thickness is a key design requirement. This is where novel two-dimensional (2d) materials like graphene, MoS2 come into play because they could lead to thinner, lightweight and flexible solar cells. In this chapter, we aim to follow up on the most important and novel developments that have been recently reported on solar cells. Section-2 is devoted to the properties, synthesis techniques of different 2d materials like graphene, TMDs, and perovskites. In the next section-3, various types of photovoltaic cells, 2d Schottky, 2d homojunction, and 2d heterojunction have been described. Systematic development to enhance the PCE with recent techniques has been discussed in section-4. Also, 2d Ruddlesden-Popper perovskite explained briefly. New developments in the field of the solar cell via upconversion and downconversion processes are illustrated and described in section-5. The next section is dedicated to the recent developments and challenges in the fabrication of 2d photovoltaic cells, additionally with various applications. Finally, we will also address future directions yet to be explored for enhancing the performance of solar cells

    Influence of NPK levels on growth and yield of Stevia rebaudiana Bertoni under hills of Uttarakhand

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    A field experiment was carried out at CSIR-Central Institute of Medicinal and Aromatic Plant Research Centre Purara, Bageshwar, Uttarakhand, India during 2014 and 2015 in sandy loam soil on Influence of NPK levels on plant growth and yield of Stevia rebaudiana Bertoni under lower hills of Kumaon Uttarakhand were tested in a randomized block design with factorial concept in three replications. Four harvestings were taken in a year. Stevia were treated with three doses of nitrogen (100,200,300 N kg/ha), three doses of phosphorus (60,120,180 P2O5 kg/ha) and two levels of potassium (80,160 K2O kg/ha). Pooled results indicated that significantly higher dry leaf yield was obtained with nitrogen @ 300 Kg/ha (45.68 t/ha) and it was on par with 200 kg/ha (43.76 t/ha). Phosphorus @ 180/ha recorded significantly highest dry leaf yield (40.68 t/ha) and it was on par with 120 kg/ha (43.40 t/ha). Potassium @ 160 kg/ha recorded dry leaf yield of 43.12 t/ha and it was comparable with potassium @80 kg/ha (41.84 t/ha). The growth parameters viz., plant height (cm), number of branches per plant and number of leaves per plant were significantly higher with nitrogen, phosphorus and potassium @ 300 kg/ha, 180 kg/ha and 160 kg/ha, respectively which were on par with 200 kg/ha, 120 kg/ha and 80 kg/ha respectively. In pooled data nitrogen N3 i.e., 300 kg/ha recorded the highest B:C (4.60) which was on par with nitrogen @ N2 i.e., 200 kg/ha (4.34), but significantly higher than N1 i.e., 100 kg/ha (3.38). Phosphorous P3 i.e., 180 kg/ha resulted in higher B:C (4.61) which was on par with P2 i.e., 120 kg/ha (4.50). Potassium level influenced the B:C non-significantly. Significantly lowest B:C was recorded with absolute control in pooled data (2.19). Nutrient level of 300:180:160 kg/ha NPK applied in equal splits to four harvestings in a year has been considered as an economically optimum level of nutrients for stevia

    Secondary Ecological Succession of Mangrove in the 2004 Tsunami Created Wetlands of South Andaman, India

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    Andaman and Nicobar Islands (ANI’s) being situated in the Tropical zone is the cradle of multi-disasters viz., cyclones, floods, droughts, land degradation, runoff, soil erosion, shallow landslides, epidemics, earthquakes, volcanism, tsunami and storm surges. Mangroves are one of the first visible reciprocators above land and sea surface to cyclonic storms, storm surges, and tsunamis among the coastal wetlands. The Indian Ocean 2004 tsunami was denoted as one of the most catastrophic ever recorded in humankind’s recent history. A mega-earthquake of Magnitude (9.3) near Indonesia ruptured the Andaman-Sunda plate triggered this tsunami. Physical fury, subsidence, upliftment, and prolonged water logging resulted in the massive loss of mangrove vegetation. A decade and half years after the 2004 tsunami, a study was initiated to assess the secondary ecological succession of mangrove in Tsunami Created Wetlands (TCWs) of south Andaman using Landsat satellite data products. Since natural ecological succession is a rather slow process and demands isotope techniques to establish a sequence of events succession. However, secondary ecological succession occurs in a short frame of time after any catastrophic event like a tsunami exemplifying nature\u27s resilience. Band-5 (before tsunami, 2003) and Band-6 (after tsunami, 2018) of Landsat 7 and Landsat-8 satellite respectively were harnessed to delineate mangrove patches and TCWs in the focus area using ArcMap 10.5, Geographic Information Systems (GIS) software. From the study, it was understood that Fimbrisstylis littoralis is the pioneering key-stone plant followed by Acrostichum aureum and Acanthus ilicifolius facilitating Avicennia spp/Rhizophora spp for ecological succession in the TCWs
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