Accessible Shopping System for Blind and Visually Impaired Individuals

Self-Dependency of disabled persons is very important in their daily lives. This is a cost effective prototype system that help blind persons to shop independently. This paper presents a camera-based label reader for blind persons to read names of labels on the products. The proposed framework can be classified as image capturing, data processing audio output. In Image capturing web Camera is use to capture the image of object or product packaging and captured image is send to the image processing Platform. In Data processing the image is processed internally and the text will get filtered from the image. Finally, the filtered texts are output to blind users in the form voice. The Tesseract library is used to get the plain text from text region and flite library is used to get audio output. This proposed framework is implemented using Raspberry Pi board

Portable Camera Based Assitive Product Label Reading for Blind and Visually Impaired Individuals

Self-Dependency of blind people is very important in their day-to-day lives. This paper presents a cost effective prototype system to help blind persons to shop independently. As we know printed text is everywhere like product names, instructions on medicine bottles, restaurant menus, signed boards etc. To read these text blind and visually impaired people need some help. This paper presents a camera-based assistive product label reader for blind persons to read information of the products. It is hard to detect text due to the variations of text font, sizes, color text, clutter background and different orientation. In this paper Camera is used to captured the image of the product .Then captured image is processed internally using different algorithms such as text localization and text recognition algorithm to extract text the label from image by using MATLAB .The extracted text label is converted to audio output using text to speech converter and it is pronounced as audio to the blind person

Gravid uterus in an incisional hernia with uterine scar dehiscence: a case report

Full term pregnancy in an incisional hernia of the anterior abdominal wall is rare and a serious condition. Initially the hernia is reducible, but as pregnancy advances, it may be complicated by skin ulcerations, incarceration and subsequent strangulation within the hernia sac. Potentially grave obstetric complications such as preterm labour, accidental hemorrhage, intrauterine growth restriction, intrauterine fetal death, scar dehiscence and rupture of the lower uterine scar can occur. We report a case of full term pregnancy in an incisional hernia with uterine scar dehiscence, its clinical course, management and review of literature

Inhibition Planktonic and Bio film Growth of Candida Albicans by Plant Extract Alone and in combination with Fluconazole

This study was to evaluate the efficacy of Methanolic extract of G. superba L in combination with Fluconazole against biofilm development and mature biofilms of C. albicans. Synergism between MEGS and Fluconazole combination against biofilm formation was evident with FICI of 0.187. Combination of MEGS and Fluconazole did not have synergistic potential against mature biofilm growth, evidenced in FICI of 0.916. MIC of standard Fluconazole was found to be 0.5 and >0.5 in biofilm development and mature biofilm respectively

Pregnancy with super-obesity: an emerging pandemic

Pregnancy associated with obesity is an upcoming challenge in high risk obstetrics management. Ironically, in India though half the population is under the malnutrition zone, it is known as the diabetic capital. This is attributed to the changing lifestyles which have led to a steep rise in medical disorders like hypertension, diabetes and obesity, especially in metropolitan cities. A case of pregnancy in a super obese woman with a successful outcome is presented here

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages

We present, Naamapadam, the largest publicly available Named Entity Recognition (NER) dataset for the 11 major Indian languages from two language families. The dataset contains more than 400k sentences annotated with a total of at least 100k entities from three standard entity categories (Person, Location, and, Organization) for 9 out of the 11 languages. The training dataset has been automatically created from the Samanantar parallel corpus by projecting automatically tagged entities from an English sentence to the corresponding Indian language translation. We also create manually annotated testsets for 9 languages. We demonstrate the utility of the obtained dataset on the Naamapadam-test dataset. We also release IndicNER, a multilingual IndicBERT model fine-tuned on Naamapadam training set. IndicNER achieves an F1 score of more than $80$ for $7$ out of $9$ test languages. The dataset and models are available under open-source licences at https://ai4bharat.iitm.ac.in/naamapadam.Comment: ACL 202

An integrated bioinformatics analysis reveals divergent evolutionary pattern of oil biosynthesis in high- and low-oil plants

Seed oils provide a renewable source of food, biofuel and industrial raw materials that is important for humans. Although many genes and pathways for acyl-lipid metabolism have been identified, little is known about whether there is a specific mechanism for high-oil content in high-oil plants. Based on the distinct differences in seed oil content between four high-oil dicots (20~50%) and three low-oil grasses (<3%), comparative genome, transcriptome and differential expression analyses were used to investigate this mechanism. Among 4,051 dicot-specific soybean genes identified from 252,443 genes in the seven species, 54 genes were shown to directly participate in acyl-lipid metabolism, and 93 genes were found to be associated with acyl-lipid metabolism. Among the 93 dicot-specific genes, 42 and 27 genes, including CBM20-like SBDs and GPT2, participate in carbohydrate degradation and transport, respectively. 40 genes highly up-regulated during seed oil rapid accumulation period are mainly involved in initial fatty acid synthesis, triacylglyceride assembly and oil-body formation, for example, ACCase, PP, DGAT1, PDAT1, OLEs and STEROs, which were also found to be differentially expressed between high- and low-oil soybean accessions. Phylogenetic analysis revealed distinct differences of oleosin in patterns of gene duplication and loss between high-oil dicots and low-oil grasses. In addition, seed-specific GmGRF5, ABI5 and GmTZF4 were predicted to be candidate regulators in seed oil accumulation. This study facilitates future research on lipid biosynthesis and potential genetic improvement of seed oil content