49 research outputs found
Anisotropic Cosmological Model in a Modified Theory of Gravitation
Get PDFIn this research, spatially homogeneous and anisotropic LRS Bianchi type-I cosmological model in f(R, T) theory is discussed by choosing the specific form as f(R, T) = R + μe-γR + λT, here R is the Ricci scalar, T is the trace of the energy-momentum tensor, μ, γ, and λ are constants. In this research the functional form consists of an exponential function which is more generalised than linear, quadratic and other polynomials. The solutions of the field equations are derived by considering the following two conditions (i) the scale factor ɑ(t) is considered as a hybrid expansion law. By assumption of this scale factor, we can obtain the deceleration parameter as a function of the time dependent variable (ii) σ ꭀ θ (the proportionality of shear scalar with expansion scalar). For the obtained model, the physical and geometrical properties like as Hubble parameter (H), expansion scalar (θ), volume (V), pressure (p), the energy density (ρ), equation of state (ω) parameter, state-finder parameter (r, s), deceleration parameter (q), jerk parameter (j) are discussed. The graphical behavior of all the parameters of the model is examined with respect to redshift (z) by taking two different values of μ =−2.985, −2.902. In the discussion of all energy conditions, it is noticed that DEC is satisfied for both the values of μ, whereas NEC is satisfied in past (z > 0), present (z = 0), and violated in future (z < 0) for μ = −2.985, −2.902. For both values of μ, the SEC is violated. The violation of SEC represents the accelerating expansion of the cosmos. The obtained results in the model match with recent observational data
Flow chat of bite victims using contact tracing.
No full textFlow chat of bite victims using contact tracing.</p
Spatial map of the study area.
No full text(USGS landsatlook [online].Available from https://landsatlook.usgs.gov/viewer.html.[Accessed on 13.06.2018]).</p
Forest Fire Detection with GPS using IoT
No full textToday's developing world makes environmental protection absolutely necessary. Numerous natural and man-made disasters were happening all around the planet. Forest fires are one such environmental catastrophe. Once it starts, the fire in the dense forest quickly engulfs the entire region, consuming everything in its path and igniting everything. On hot days, fire spreads more easily due to the dry conditions, decimating the grasses and trees in forested areas. To protect the ecosystems of the forest's flora and fauna, such forest fire calamities must be diminished. The objective of this endeavour is to create and put into use an Internet of Things (IoT)-based system that can anticipate and identify forest fires, alert the appropriate authorities to their specific location, and help firefighters put out the fire when it first starts. This would prevent the fire from engulfing a big area and allow for the implementation of preventative measures to put out any fires that might start in the near future
Spray-Induced Gene Silencing as a Potential Tool to Control Potato Late Blight Disease
Get PDFPhytophthora infestans causes late blight disease on potato and tomato and is currently controlled by resistant cultivars or intensive fungicide spraying. Here, we investigated an alternative means for late blight control by spraying potato leaves with double-stranded RNAs (dsRNA) that target the P. infestans genes essential for infection. First, we showed that the sporangia of P. infestans expressing green fluorescent protein (GFP) can take up in vitro synthesized dsRNAs homologous to GFP directly from their surroundings, including leaves, which led to the reduced relative expression of GFP. We further demonstrate the potential of spray-induced gene silencing (SIGS) in controlling potato late blight disease by targeting developmentally important genes in P. infestans such as guanine-nucleotide binding protein β-subunit (PiGPB1), haustorial membrane protein (PiHmp1), cutinase (PiCut3), and endo-1,3(4)-β-glucanase (PiEndo3). Our results demonstrate that SIGS can potentially be used to mitigate potato late blight; however, the degree of disease control is dependent on the selection of the target genes
