Wireless Biometric Attendance Management System

Design of an automated system by using real time NRF - biometric system for simple and time saving attendance on a regular basis using the finger prints of the students at any college or department level along with the students incoming and outgoing log maintenance. Initially students fingerprints are scanned by the scanner and then a unique number is allotted as their individual enrollment. While taking the attendance, when students impress their fingerprints against the scanner, the system will compare the new fingerprint patterns and the connection between various points in the fingerprint and then match with the enrolment database. A match is recorded as an indication of processing, matching and mark of attendance respectively. Through this automated system,time, paperwork and manpower is reduced to the great extent

Pharmacological Investigation of Antioxidants and Antidiabetic Activity of Vitex Trifolia Bark In Diabetic Zebrafish Model

Both diabetes and obesity have now been deemed global epidemics. Scientists coined "diabesity", to describe this relationship, as both obesity and diabetes are on the rise. Obesity increases the risk of heart disease, type 2 diabetes, cancer, and many other diseases. Both diabetes and obesity are complex illnesses that can be influenced both by hereditary factors and environmental ones. In order to develop pharmacological or surgical treatment for obesity and diabetes we need more research. It is therefore essential that animal models be used to better understand diabetes or obesity, and to develop effective treatments. Zebrafish are a good model for metabolic disease research due to their functional conservatism in terms of lipid metabolism and adipose tissue, pancreas structures, glucose homeostasis, etc. It is well suited to finding new ways of treating and preventing human diseases such as diabetes. The review examines both the benefits and drawbacks of using the zebrafish model for studying the diseases associated with diabetes and obesity. This review focuses on studies which have used zebrafish to model these diseases

Pandemic influenza A(H1N1) 2009 outbreak in a residential school at Panchgani, Maharashtra, India

Background & objectives: An outbreak of influenza was investigated between June 24 and July 30, 2009 in a residential school at Panchgani, Maharashtra, India. The objectives were to determine the aetiology, study the clinical features in the affected individuals and, important epidemiological and environmental factors. The nature of public health response and effectiveness of the control measures were also evaluated. Methods: Real time reverse transcriptase polymerase chain reaction was performed on throat swabs collected from 82 suspected cases to determine the influenza types (A or B) and sub-types [pandemic (H1N1) 2009, as well as seasonal influenza H1N1, H3N2]. Haemagglutination inhibition assay was performed on serum samples collected from entire school population (N = 415) to detect antibodies for pandemic (H1N1) 2009, seasonal H1N1, H3N2 and influenza B/Yamagata and B/Victoria lineages. Antibody titres ≥ 10 for pandemic (H1N1) 2009 and ≥ 20 for seasonal influenza A and B were considered as positive for these viruses. Results: Clinical attack rate for influenza-like illness was 71.1 per cent (295/415). The attack rate for pandemic (H1N1) 2009 cases was 42.4 per cent (176/415). Throat swabs were collected from 82 cases, of which pandemic (H1N1) 2009 virus was detected in 15 (18.3%), influenza type A in (6) 7.4 per cent and influenza type B only in one case. A serosurvey carried out showed haemagglutination inhibition antibodies to pandemic (H1N1) 2009 in 52 per cent (216) subjects in the school and 9 per cent (22) in the community. Interpretation & conclusion: Our findings confirmed an outbreak of pandemic (H1N1) 2009 due to local transmission among students in a residential school at Panchgani, Maharashtra, India

Synthesis, in vitro biological evaluation and molecular docking study of coumarin-1,4-dihydropyridine derivatives as potent anti-inflammatory agents

The green chemistry approach provides for the synthesis of coumarin-1,4-dihydropyridine scaffolds 6a-o via sequential multicomponent reaction using catalytic amount of triethylamine (TEA). These new coumarin scaffolds have been successfully explored for the effective inflammatory as well as microbial infection inhibitors. The antimicrobial activity results of the title compounds have shown potent activity against both gram positive and gram negative bacterial, and fungal stains. Additionally, anti-inflammatory activity of all the compounds has been found to be quite promising in comparison with standard Diclofenac sodium. Furthermore, the in silico docking study has been performed for all the compounds with S. aureus DNA gyrase and cyclooxygenase-2 (PDB ID 4PH9). The computational results are in good agreement with the in vitro antibacterial and anti-inflammatory experimental results.

Synthesis, in vitro biological evaluation and molecular docking study of coumarin-1,4-dihydropyridine derivatives as potent anti-inflammatory agents

418-432The green chemistry approach provides for the synthesis of coumarin-1,4-dihydropyridine scaffolds 6a-o via sequential multicomponent reaction using catalytic amount of triethylamine (TEA). These new coumarin scaffolds have been successfully explored for the effective inflammatory as well as microbial infection inhibitors. The antimicrobial activity results of the title compounds have shown potent activity against both gram positive and gram negative bacterial, and fungal stains. Additionally, anti-inflammatory activity of all the compounds has been found to be quite promising in comparison with standard Diclofenac sodium. Furthermore, the in silico docking study has been performed for all the compounds with S. aureus DNA gyrase and cyclooxygenase-2 (PDB ID 4PH9). The computational results are in good agreement with the in vitro antibacterial and anti-inflammatory experimental results

Randomized Clinical Trial of High-Dose Rifampicin With or Without Levofloxacin Versus Standard of Care for Pediatric Tuberculous Meningitis: The TBM-KIDS Trial

Background. Pediatric tuberculous meningitis (TBM) commonly causes death or disability. In adults, high-dose rifampicin may reduce mortality. The role of fluoroquinolones remains unclear. There have been no antimicrobial treatment trials for pediatric TBM. Methods. TBM-KIDS was a phase 2 open-label randomized trial among children with TBM in India and Malawi. Participants received isoniazid and pyrazinamide plus: (i) high-dose rifampicin (30 mg/kg) and ethambutol (R30HZE, arm 1); (ii) high-dose rifampicin and levofloxacin (R30HZL, arm 2); or (iii) standard-dose rifampicin and ethambutol (R15HZE, arm 3) for 8 weeks, followed by 10 months of standard treatment. Functional and neurocognitive outcomes were measured longitudinally using Modified Rankin Scale (MRS) and Mullen Scales of Early Learning (MSEL). Results. Of 2487 children prescreened, 79 were screened and 37 enrolled. Median age was 72 months; 49%, 43%, and 8% had stage I, II, and III disease, respectively. Grade 3 or higher adverse events occurred in 58%, 55%, and 36% of children in arms 1, 2, and 3, with 1 death (arm 1) and 6 early treatment discontinuations (4 in arm 1, 1 each in arms 2 and 3). By week 8, all children recovered to MRS score of 0 or 1. Average MSEL scores were significantly better in arm 1 than arm 3 in fine motor, receptive language, and expressive language domains (P < .01). Conclusions. In a pediatric TBM trial, functional outcomes were excellent overall. The trend toward higher frequency of adverse events but better neurocognitive outcomes in children receiving high-dose rifampicin requires confirmation in a larger trial. Clinical Trials Registration. NCT02958709

ONTOLOGY EXTRACTION FOR AGRICULTURE DOMAIN IN MARATHI LANGUAGE USING NLP TECHNIQUES

Ontology is defined as shared specification of conceptual vocabulary used for formulating knowledge-level theories about a domain of discourse. Dataset is created by manually collecting information about different diseases related to crops. Ontology modeling is used for knowledge representation of various domains. India is an agricultural based economic country. Majority of Indian population relies on farming but the technologies are sparsely used for the aid of farmers. Ontology based modeling for agricultural knowledge can change this scenario. The farmers can understand it easily in their native language. We proposed a system which will model and extract knowledge in Marathi language. In this paper, we review various existing agriculture ontology’s along with some of Natural Language Processing (NLP) models. Model ontology for agriculture domain system aims to retrieve relevant answers to the farmer’s query. We explored Rule-Based and Conditional Random Fields based models for Ontology extraction. The extraction methods and preprocessing phases of proposed system is discussed

From face detection to emotion recognition on the framework of Raspberry pi and galvanic skin response sensor for visual and physiological biosignals

Abstract The facial and physiological sensor-based emotion recognition methods are two popular methods of emotion recognition. The proposed research is the first of its kind in real-time emotion recognition that combines skin conductance signals with the visual-based facial emotion recognition (FER) method on a Raspberry Pi. This research includes stepwise documentation of method for automatic real-time face detection and FER on portable hardware. Further, the proposed work comprises experimentation related to video induction and habituation methods with FER and the galvanic skin response (GSR) method. The GSR data are recorded as skin conductance and represent the subject's behavioral changes in the form of emotional arousal and face emotion recognition on the portable device. The article provides a stepwise implementation of the following methods: (a) the skin conductance representation from the GSR sensor for arousal; (b) gathering visual inputs for identifying the human face; (c) FER from the camera module; and (d) experimentation on the proposed framework. The key feature of this article is the comprehensive documentation of stepwise implementation and experimentation, including video induction and habituation experimentation. An illuminating aspect of the proposed method is the survey of GSR trademarks and the conduct of psychological experiments. This study is useful for emotional computing systems and potential applications like lie detectors and human–machine interfaces, devices for gathering user experience input, identifying intruders, and providing portable and scalable devices for experimentation. We termed our approaches "sensovisual" (sensors + visual) and "Emosense" (emotion sensing)