Herpes Zoster Ophthalmicus in Healthy 13-month Infant: An Unforeseen Scenario

Herpes zoster (HZ) as well as varicella are caused by varicella-zoster virus. It is uncommon in children. Cases have been reported in literature among all ages from neonate to old age. We report this case of HZ ophthalmicus in a healthy child born to healthy mother with a history of varicella infection in the third trimester (7th month of gestation). Early diagnosis and treatment reduce complications. Preconceptional varicella-zoster vaccine is also a matter of concern

ENERGY CONSERVATION IN INDUCTION FURNACE: A REVIEW

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Selective formation of tungsten nanowires

We report on a process for fabricating self-aligned tungsten (W) nanowires with polycrystalline silicon core. Tungsten nanowires as thin as 10 nm were formed by utilizing polysilicon sidewall transfer technology followed by selective deposition of tungsten by chemical vapor deposition (CVD) using WF6 as the precursor. With selective CVD, the process is self-limiting whereby the tungsten formation is confined to the polysilicon regions; hence, the nanowires are formed without the need for lithography or for additional processing. The fabricated tungsten nanowires were observed to be perfectly aligned, showing 100% selectivity to polysilicon and can be made to be electrically isolated from one another. The electrical conductivity of the nanowires was characterized to determine the effect of its physical dimensions. The conductivity for the tungsten nanowires were found to be 40% higher when compared to doped polysilicon nanowires of similar dimensions

Effectiveness of oral zinc therapy as an adjunct to intralesional measles, mumps, and rubella vaccine in patients of verruca vulgaris

Background: Verruca vulgaris (VV) is caused by human papillomavirus affecting both keratinized and nonkeratinized epithelium. Different treatment modalities are available leading to scarring, pain, and ineffectiveness. Injection of measles, mumps, and rubella (MMR) not only clears treated warts but also distant warts by stimulating cell-mediated immunity. Objectives: The objective of this study was to study the efficacy of adjuvant zinc with injectable MMR vaccine in treatment with side effects of treatments, the pattern of regression, the number of injections required for clearance, and the recurrence of verruca. Materials and Methods: Fifty patients having verruca were divided into groups A and B with 25 patients each. Group A received an injection of MMR and tablet of zinc whereas group B only injection MMR. A total of five injections were given in the largest wart at intervals of 2 weeks i.e., 0, 2, 4, 6, and 8 weeks. Follow-up was done at 3rd month and 6th months following 1st dose. Improvement in warts and patient satisfaction were assessed using visual analog scale and Likert scale, respectively. Results: Mean age of patients in groups A and B was 30.36 and 32.68 with male-to-female ratio 5.28:1 (21:4) and 1.77:1 (16:9), respectively. Mean numbers and size of lesions in group A and B were 2.24 (±1.59), 1.84 (±1.40) and 5.52 mm, 5.08 mm, respectively. Eighty-four percentage of patients in both groups needed five injections for complete clearance. Pain was the most common side effect in all patients of both groups whereas gastritis, fever, and lymphadenopathy were observed only in one patient of Group A. Patients in both groups were strongly satisfied on Likert's scale. Conclusion: Oral zinc as an adjuvant with MMR vaccine for the treatment of VV was equally safe but did not prove to be of higher efficacy in our study

On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation

In many applications such as gravimetric sensing, there is a need to rapidly estimate the center resonant frequency of the sensor system. This paper proposes and compares different quantized analog compressive sensing approaches for rapid frequency estimation. In particular, we discuss (a) Atomic norm Soft Thresholding - Semidefinite Programming (AST-SDP), (b) Atomic norm Soft Thresholding - Alternating Direction Method of Multipliers (AST-ADMM) and (c) Superfast Line Spectral Estimation (LSE) algorithms. As a result of this comparison we report that Superfast LSE achieves a good trade-off between computational speed, quantization, and error in frequency estimation among the three approaches. We further compare the compressive sensing approaches to several classical methods such as the Prony's algorithm and the Pisarenko's algorithm and show that compressive sensing based approaches remain robust to higher quantization errors. Finally, experimental results are shown for a quartz crystal and a MEMS based gravimetric sensor. Frequency measurement results with the quartz crystal show that a resolution of 0.1 ppm RMSE is achieved with the compressed sensing approach

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Not AvailableFor the last two years, countries around the globe have been suff ering and severely aff ected by the Covid-19 pandemic due to the novel coronavirus. Researchers from various disciplines are conducting research and publishing number of articles related to this virus and its eff ects. Furthermore, articles related to Covid-19 are being continuously published in the form of research papers, popular articles, blogs, surveys, short stories etc. These possess useful information and this information can be processed to infer important knowledge by applying text mining techniques. The Latent Dirichlet Allocation (LDA) technique provides an effi cient way to analyse unclassifi ed text into useful sets of terms, called topics. LDA can group terms with similar semantic meaning into topics called "themes". A theme is a group of terms that frequently appear together. The objective of the present study is to explore the applicability of topic modeling in identifying the hidden themes or topics by using published research articles related to Covid-19 and agriculture through Google scholar. After pre-processing of titles and abstracts, two approaches namely LDA with Bag of Words (LDAB) and LDA with Term Frequency-Inverse Document Frequency (LDAT) were applied to fi nd the hidden themes. There are thirteen and seven topics are identifi ed by applying LDAB and LDAT respectively. These identifi ed topics comprised with diff erent set of words or features will play an important role in developing the information retrieval system for specifi c search related to agricultural production, supply chain mechanism in agriculture, health and agri-tourism.Not Availabl