Cercospora Leaf Spot of Eggplant

This article discusses Cercospora leaf spot, one of the most common fungal diseases of eggplant in home and community gardens in Hawaii. It discusses the pathogen and disease symptoms and suggests integrated practices that can help gardeners realize better plant growth and higher yields

Deep Learning Techniques in Extreme Weather Events: A Review

Extreme weather events pose significant challenges, thereby demanding techniques for accurate analysis and precise forecasting to mitigate its impact. In recent years, deep learning techniques have emerged as a promising approach for weather forecasting and understanding the dynamics of extreme weather events. This review aims to provide a comprehensive overview of the state-of-the-art deep learning in the field. We explore the utilization of deep learning architectures, across various aspects of weather prediction such as thunderstorm, lightning, precipitation, drought, heatwave, cold waves and tropical cyclones. We highlight the potential of deep learning, such as its ability to capture complex patterns and non-linear relationships. Additionally, we discuss the limitations of current approaches and highlight future directions for advancements in the field of meteorology. The insights gained from this systematic review are crucial for the scientific community to make informed decisions and mitigate the impacts of extreme weather events

Dynamics of a bubble formed in double stranded DNA

We study the fluctuational dynamics of a tagged base-pair in double stranded DNA. We calculate the drift force which acts on the tagged base-pair using a potential model that describes interactions at base pairs level and use it to construct a Fokker-Planck equation.The calculated displacement autocorrelation function is found to be in very good agreement with the experimental result of Altan-Bonnet {\it et. al.} Phys. Rev. Lett. {\bf 90}, 138101 (2003) over the entire time range of measurement. We calculate the most probable displacements which predominately contribute to the autocorrelation function and the half-time history of these displacements.Comment: 11 pages, 4 figures. submitted to Phys. Rev. Let

Probing Gauge String Formation in a Superconducting Phase Transition

Superconductors are the only experimentally accessible systems with spontaneously broken gauge symmetries which support topologically nontrivial defects, namely string defects. We propose two experiments whose aim is the observation of the dense network of these strings thought to arise, via the Kibble mechanism, in the course of a spontaneous symmetry breaking phase transition. We suggest ways to estimate the order of magnitude of the density of flux tubes produced in the phase transition. This may provide an experimental check for the theories of the production of topological defects in a spontaneously broken gauge theory, such as those employed in the context of the early Universe.Comment: 16 pages (Latex), 4 figures included, change in title, some minor changes, published versio

Child Drawing: A Projective Tool for Dental Anxiety Assessment

INTRODUCTION: Assessment of child’s anxiety is important in order to determine the success of dental treatment. Drawing, a nonverbal, self-report, projective and non-invasive technique may prove be helpful and needs to be explored in order to access anxiety in children requiring dental treatment.AIM: To investigate the applicability of children’s drawings as an indicator to measure their level of anxiety.MATERIALS & METHOD: A cross-sectional study was conducted in a total of hundred children between age group of 4-6 years. Children were asked to draw dental operatory on A4 sheet and colour it with basic set of 12 colours. The drawing was scored using Child Drawing: Hospital (projective scale) scale and the results were compared with pulse oximeter readings (physiological parameter) and Venham Picture Test scorings.RESULTS: Child Drawing: Hospital scale scoring had a positive correlation with pulse oximeter reading (involuntary) (p-value = 0.125) and a negative correlation with Venham picture test (p-value = 0.140).CONCLUSION: Drawing may be statistically significant projective tool significant to assess child anxiety in dental setting

Nanoscale Defect Formation on InP(111) Surfaces after MeV Sb Implantation

We have studied the surface modifications as well as the surface roughness of the InP(111) surfaces after 1.5 MeV Sb ion implantations. Scanning Probe Microscope (SPM) has been utilized to investigate the ion implanted InP(111) surfaces. We observe the formation of nanoscale defect structures on the InP surface. The density, height and size of the nanostructures have been investigated here as a function of ion fluence. The rms surface roughness, of the ion implanted InP surfaces, demonstrates two varied behaviors as a function of Sb ion fluence. Initially, the roughness increases with increasing fluence. However, after a critical fluence the roughness decreases with increasing fluence. We have further applied the technique of Raman scattering to investigate the implantation induced modifications and disorder in InP. Raman Scattering results demonstrate that at the critical fluence, where the decrease in surface roughness occurs, InP lattice becomes amorphous.Comment: 18 pages, 9 figure