128 research outputs found

    Decision Support System for Improved Operations, Maintenance, and Safety: a Data-Driven Approach

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    With industry 4.0, a new era of the industrial revolution with a focus on automation, inter-connectivity, machine learning, and real-time data collection and analysis are emerging. The smart digital technology which includes smart sensors, data acquisition, processing, and control based on big data, machine learning, and Artificial Intelligence (AI) provides boundless opportunities for the end-users to operate their plants under more optimized, reliable, and safer conditions. During an abnormal event in an industrial facility, operators are inundated with information to infer and act. Hence, there is a critical need to develop solutions that assist operators during such critical events. Also, because of the obsolescence challenges of typical industrial control systems, a new paradigm of Open Process Automation (OPA) is emerging. OPA requires a Real-time Operational Technology (OT) services to analyze the data generated by the sensors and control loops to assist the process plant operations by developing applications for advanced computing platforms in open source software platforms. The aim of this research is to highlight the potential applications of big data analytics, machine learning, and AI methods and develop solutions for plant operation, maintenance, process safety and risk management for real industry problems. This research work includes: 1. an alarm management framework integrated with data-driven (Key Performance Indicators) KPIs bench-marking, and a visualization tool is developed to address alarm management challenges; 2. a deep learning-based data-driven process fault detection and diagnosis method on cloud computing to identify abnormal process conditions; and 3. applications such as predictive maintenance, dynamic risk mapping, incident database analysis, application of Natural Language Processing (NLP) for text classification, and barrier assessment for dynamic risk mapping, A unified workflow approach is used to define the data-sources, applicable domains, and develop proposed applications. This work integrates data generated by field instrumentation, expert knowledge with data analytics and AI techniques to provide guidance to the operator or engineer to effectively take proactive decisions through “action-boards”. The robustness of the developed methods and algorithms is validated using real and simulated data sets. The proposed methods and results provide a future road map for any organization to deal with data integration with such applications leading to productive, safer and more reliable operations

    The COWIN portal – current update, personal experience and future possibilities

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    India began one of the biggest COVID-19 vaccination drives on 16 January 2021, marking the beginning of the mammoth effort to vaccinate more than 1.3 billion people. The vaccination programme to protect people has started globally to combat the pandemic, which has killed more than 3.1 million people globally and infected 149 million people as of 29 April (1). India started its vaccine drive with two vaccines- Covishield by the Serum Institute of India and Covaxin by Bharat Biotech. Around 12,000 private hospitals, empanelled under PM-JAY (National Health Insurance), and hospitals under the CGHS (Central Government Health Scheme) are the vaccination sites. The monitoring of inoculation drive and to track the listed beneficiaries on a real-time basis, Co-WIN application has been developed for planning, implementation, monitoring, and evaluation of the whole drive in India. This software was developed by Union Health Ministry, and their experience with electronic Vaccine Intelligence Network (eVIN) software has ensured the versatility and utility of this dedicated Co-WIN software(2

    Aneurysmal Bone Cyst of Clavicle in a Six-Year-Old Male Child

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    Aneurysmal Bone Cyst (ABCs) is a cystic expansile lesion which is usually found in solitary locations in the metaphysis of long bones. The most common locations of ABC are long bones of lower limbs. There is little knowledge about the presence of this tumor in Clavicle. Here we present a case of a six year old male child who presented with complaint of swelling in left shoulder for four months. There was a dilemma in the diagnosis of the swelling due to its unusual presentation and appearance. The Fine Needle Aspiration Cytology was also inconclusive. The diagnosis of ABC was made only by excision biopsy. The Clavicle regenerated to nearly normal anatomy at 15 weeks follow up period. The patient is asymptomatic now and is able to perform all daily activities without any restrictions. The uniqueness of this case lies in the fact that this is the first case where ABC has been reported in Clavicular region in young Asian male of less than 10 years age

    A rare association of dengue meningitis with Plasmodium vivax malaria

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    Neurological manifestations in dengue are now well known. Encephalitis is the most common manifestation, but meningitis is a rare phenomenon. We described a 10-year-old child who did not have typical features of dengue and presented with meningeal signs at the end of 2nd week of fever along with raised intracranial tension. Repeat fever work up in view of persisting fever spikes was suggestive of malaria coinfection. The association of dengue and malaria is not an uncommon entity; although both diseases are transmitted by a different type of arthropod vectors

    Pictorial essay: Computed tomography findings in acute aortic syndromes

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    Acute aortic emergencies are life-threatening conditions that may require urgent surgical or interventional management. Imaging plays an important role in the diagnosis and planning of the management, and timely intervention helps in reducing mortality and morbidity

    Burden of overweight and obesity among children studying in schools of Western Rajasthan

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    Background: Obesity in children has become a public health concern worldwide with a significant rise in recent years. Aim & Objective: This study aimed to estimate the occurrence of overweight and obesity in adolescents studying in school and to determine the risk factors for obesity as well as overweight in this population. Settings and Design: This cross-sectional research was carried out among adolescent children of age group 12-15 years from Jodhpur's rural and urban schools. Methods and Material: The present study included 1864 school children. A well-structured questionnaire was used to gather data, and the researchers measured weight and height with the help of calibrated tools. Index for Body Mass (BMI) and Z-scores were calculated, and the World Health Organization (WHO) standardized gender-specific growth chart was used to classify children as being overweight and obese. Statistical analysis used: The statistical evaluation was conducted utilising SPSS version 23.0. Chi-square analyses were applied to analyse the relationship of independent variables with overweight/obesity status. Variables showing statistical significance at a 5% level were further analysed using multiple logistic regression. Results: It was discovered that the rate of overweight and obesity among Jodhpur schoolchildren was 23.2%, with 22.9% classified as overweight and 0.3% as obese. The analysis revealed that children attending urban and public schools exhibited higher rates of obesity and overweight compared to those in rural and private schools. Conclusions: The study highlights a considerable burden of overweight among children enrolled in schools of Jodhpur, warranting the implementation of sustainable intervention aimed at encouraging physical exercise and a balanced diet

    Caries sicca: tuberculosis of glenohumeral joint

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    Tuberculosis is quite common in India. Shoulder tuberculosis although rare among the skeletal tuberculosis needs to be kept in mind for diagnosis and proper treatment of cases of Carries Sicca. Twenty year old female presented with non traumatic pain in right shoulder with severe restriction of shoulder Range of Movements (ROM), not responding to treatment. On detailed examination turned out to be a case of Caries Sicca. Thorough debridement along with sufficient immobilization and Anti Tubercular Treatment (ATT) gives excellent results. High suspicion is needed to diagnose the cases of Carries Sicca. Early diagnosis and proper treatment gives wonderful results. Only ATT with or without immobilization and debridement are sufficient enough in majority of cases

    RNA Sequencing, Selection of Reference Genes and Demonstration of Feeding RNAi in \u3cem\u3eThrips tabaci\u3c/em\u3e (Lind.) (Thysanoptera: Thripidae)

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    Background: Thrips tabaci is a severe pest of onion and cotton. Due to lack of information on its genome or transcriptome, not much is known about this insect at the molecular level. To initiate molecular studies in this insect, RNA was sequenced; de novo transcriptome assembly and analysis were performed. The RNAseq data was used to identify reference and RNAi pathway genes in this insect. Additionally, feeding RNAi was demonstrated in T. tabaci for the first time. Results: From the assembled transcriptome, 27,836 coding sequence (CDS) with an average size of 1236 bp per CDS were identified. About 85.4% of CDS identified showed positive Blast hits. The homologs of most of the core RNAi machinery genes were identified in this transcriptome. To select reference genes for reverse-transcriptase real-time quantitative PCR (RT-qPCR) experiments, 14 housekeeping genes were identified in the transcriptome and their expression was analyzed by (RT-qPCR). UbiCE in adult, 28s in nymphs and SOD under starvation stress were identified as the most stable reference genes for RT-qPCR. Feeding dsSNF7 and dsAQP caused 16.4- and 14.47-fold reduction in SNF7 and AQP mRNA levels respectively, when compared to their levels in dsGFP fed control insects. Feeding dsSNF7 or dsAQP also caused 62 and 72% mortality in T. tabaci. Interestingly, simultaneous feeding of dsRNAs targeting SNF7 or AQP and one of the RNAi pathway genes (Dicer-2/Aubergine/Staufen) resulted in a significant reduction in RNAi of target genes. These data suggest the existence of robust RNAi machinery in T. tabaci. Conclusion: The current research is the first report of the assembled, analyzed and annotated RNAseq resource for T. tabaci, which may be used for future molecular studies in this insect. Reference genes validated across stages and starvation stress provides first-hand information on stable genes in T. tabaci. The information on RNAi machinery genes and significant knockdown of the target gene through dsRNA feeding in synthetic diet confirms the presence of efficient RNAi in this insect. These data provide a solid foundation for further research on developing RNAi as a method to manage this pest

    Recurrent anterior shoulder dislocation with glenoid fracture managed by modified Boytchev procedure: a rare case report

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    Surgical procedures for recurrent anterior dislocation of the shoulder include using capsuloligamentous or bone blocks to create barriers and active interventions using muscle actions. Fracture of glenoid acts as a barrier for bone block procedures. Boytchev procedure, though outmoded, yet acts as simple and effective procedure in this condition. Here we report a 44 year old male with recurrent anterior dislocation with glenoid fracture treated by Boytchev procedure. The patient is on regular follow up since 3 years with no episode of shoulder dislocation till now with full range of movements. To conclude, Boytchev procedure is technically simple and effective method in patients with recurrent anterior shoulder dislocation with fracture of glenoid
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