Post-Anaesthetic Herpetic Lesion following Extraction - A Case Report.

Rationale: In Indian subcontinent, every adult may have suffered from chicken pox during their early childhood and harbour the virus, which eventually becomes inactive over years. These latent organisms can undergo sudden activation when triggered by injection of local anaesthesia in the oral cavity. Probably, some symptoms develop along the distribution of the nerve.

Application of N-Butyl-2-Cyanoacrylate for the Treatment of Comminuted Fractures in the Anterior Wall of the Maxillary Sinus: A Prospective Clinical Study.

Objective The purpose of the study was to assess the clinical outcome of patients by using n-butyl-2-cyanoacrylate in the management of comminuted fracture segments of the anterior wall of the maxillary sinus in the zygomatico-maxillo-facial complex region. Material and methods A prospective study was done at a tertiary care teaching institute in India with a study population of ten patients in a single group. The method of recruitment was a convenient sampling method.

Application of Anatomically Designed 2-Dimensional V Plate in Management of Mandible Fracture: A Pilot Study.

Background: Mandible is the only mobile facial jaw bone and it aides in various functions such as phonation and mastication. Therefore, management of mandible fracture becomes inevitable due to its functional and anatomical importance. Fracture fixation methods and techniques have steadily evolved with various osteosynthesis systems.

Effectiveness of Leg Raise and Leg Fold Maneuver to Prevent Syncope During Extraction of Teeth: A Pilot Study.

Objectives The primary objective of this study is to evaluate the effectiveness of leg raise and leg fold maneuvers to prevent syncope during extraction procedures. Methods This study included 30 patients with a previous history of syncope and dental anxiety. Patients were randomly divided into two groups consisting of 15 patients each.

A convolutional neural network based approach to financial time series prediction.

Financial time series are chaotic that, in turn, leads their predictability to be complex and challenging. This paper presents a novel financial time series prediction hybrid that involves Chaos Theory, Convolutional neural network (CNN), and Polynomial Regression (PR). The financial time series is first checked in this hybrid for the presence of chaos.

Visual impairment in children with multiple disabilities in schools for children with special needs in South India.

Purpose: To understand/assess ocular and functional vision impairment in children with multiple disabilities with a functional vision assessment battery in addition to standard ophthalmic examinations in an outreach setting.

Methods: Seven schools for children with special needs, 243 children in total, were screened for ocular disorders and functional vision impairment through school camps.

Results: Among them, 37% had refractive errors needing spectacle correction.

Fuzzy classifier model to know the sustainability of aquatic organisms and to forecast the aqua farmers.

This research work focuses to develop a fuzzy classifier model, to know the sustainability of aquatic animals and/or plants by assessing the aqua pond water quality. This model categorizes the water quality of aqua pond into four levels like as normal, acceptable, abnormal, and dangerous based on the numerical values of physical limits. The developed model is useful to forecast the pond water quality by the aqua farmers to keep up within the acceptable limits at the earliest.

A Deep Learning Approach to Photoacoustic Wavefront Localization in Deep-Tissue Medium.

Optical photons undergo strong scattering when propagating beyond 1-mm deep inside biological tissue. Finding the origin of these diffused optical wavefronts is a challenging task. Breaking through the optical diffusion limit, photoacoustic (PA) imaging (PAI) provides high-resolution and label-free images of human vasculature with high contrast due to the optical absorption of hemoglobin.

Genome-wide analysis of Excretory/Secretory proteins in Trypanosoma brucei brucei: Insights into functional characteristics and identification of potential targets by immunoinformatics approach.

Trypanosoma brucei brucei (T.b.brucei) is an extra-cellular parasite that causes Animal African Trypanosomiasis (AAT) disease in animals.

In Silico Drug Design of Thiolactomycin Derivatives Against Mtb-KasA Enzyme to Inhibit Multidrug Resistance of Mycobacterium tuberculosis.

Tuberculosis (TB) is a leading infectious disease which kills a huge number of people every year over a decade, caused by Mycobacterium tuberculosis. The conventional drugs in the market are no longer effective due to the increasing mycobacterial resistance to antibiotics. Hence, the need of finding efficient drugs to solve this multiple drug resistant factor is becoming an immediate issue.

Comparison of Extended Nasolabial Flap Versus Buccal Fat Pad Graft in the Surgical Management of Oral Submucous Fibrosis: A Prospective Pilot Study.

Aim: To evaluate the application of extended nasolabial flap versus buccal fat pad graft in the surgical management of oral submucous fibrosis.

Settings And Design: This prospective study was carried out in the Department of Oral and Maxillofacial Surgery, Tamil Nadu Government Dental College and Hospital, Chennai.

Material And Methods: A total of 8 patients (6 men and 2 women) with age range from 21 to 65 years were selected for study.

A neural network approach for image reconstruction in electron magnetic resonance tomography.

An object-oriented, artificial neural network (ANN) based, application system for reconstruction of two-dimensional spatial images in electron magnetic resonance (EMR) tomography is presented. The standard back propagation algorithm is utilized to train a three-layer sigmoidal feed-forward, supervised, ANN to perform the image reconstruction. The network learns the relationship between the 'ideal' images that are reconstructed using filtered back projection (FBP) technique and the corresponding projection data (sinograms).

Integration of color and boundary information for improved region of interest identification in electron magnetic resonance images.

A Windows-based, object-oriented application system for segmentation and analysis of electron magnetic resonance (EMR) images is described. The integrated system is developed for better recognition of regions of interest (ROI) in murine EMR images. The system combines the clustering method of color segmentation with boundary detection, for efficient segmentation of regions of interest in EMR images.