86 research outputs found

    Cranio-Cerebral Injuries in Victims of Fatal Road Traffic Accident: A 5 year Post-Mortem Study

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    Background:Victims of vehicular accident sustain different types of injuries, of which, head injury is considered as more fatal than injury to other systems. This study was carried out to know the incidence and pattern of cranio-cerebral injuries in victims of fatal vehicular accidents.Methods: Medico-legal autopsies conducted on victims of vehicular accidents from 01-01-2008 to 31-12-2012 at the Dept. of Forensic Medicine, Father Muller Medical College, Mangalore, Karnataka, India, were retrospectively analysed.Results:Deaths due to vehicular accidents constituted 69% of the total unnatural deaths. Cranio-cerebral injuries were present in 68.5% of victims of vehicular accident. Combination of skull fracture, intra-cranial haemorrhages and cerebral injury was seen in maximum number of victims (38.2%). If injuries are considered individually, most commonly observed injury was intracranial haemorrhage (90.7%), followed by skull fracture (78.9%). Subarachnoid haemorrhage was the commonest type of intracranial haemorrhage present (78.3%). In the skull vault, linear fracture was the commonest type (49%) and in the base, middle cranial fossa (68.3%) was the most commonly fractured fossa. Among the cerebral injuries, contusion of the brain tissue was the commonest injury seen. Frontal and temporal lobes were the most commonly injured parts of the cerebrum (65.8%).Conclusion:Most of the cranio-cerebral injuries cannot be treated successfully because of their anatomical configuration. But, morbidity and mortality due to vehicular accidents can be reduced by preventing the occurrence of accidents. Therefore, the old saying, “Prevention is better than cure” holds good even here

    Sustainable Development Strategy through GRI with Reference to VEDANTA Company

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    Sustainable development has become one of the key principles for succeeding human development goals while at the same time strengthening the power of natural systems in order to provide ecosystem services which the economy and society depends upon. The society’s end result is where the use of resources and the living conditions prolong to meet the human needs without hindering the balance of the natural systems. If ever focusing on Environmental sustainability, it will have a concern with the natural environment and how it remains diverse and productive. For natural resources are derived from the environment, the state of water, air, soil are of particular concern. GRI (Global Reporting Initiative) has an important role to form a framework of sustainable development in businesses, government and other organizations. The goal of the sustainable development process is to achieve the status of ‘sustainability’ in all communities. It is important to make compatible with developed and flexible using the standards laid down by GRI therefore in the long term, strategies’ of sustainable development should assist the continuance of the system of biodiversity of city and suburbs through the active protection and sustainable utilization of natural sources. Therefore in order to achieve sustainability, it is necessary to make structural reforms as regarded in the standards set by GRI and to create some deep and fundamental changes in all levels of communities. Sustainable Business Models (SBM) integrates a triple bottom line approach and includes stakeholder interests, including the environment and society. They are important in implementing business innovation for sustainability and can help fix sustainability into corporate purpose, and serve as a key driver of competitive advantage. This study focuses on the analysis of the sustainable development of Vedanta Company

    Internet of Things (IoT) based Energy Tracking and Bill Estimation System

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    Electrical energy is an important form of energy in the present times. For better or worse electricity is indispensable to life as we know it. Although we may not yet be able to produce enough clean energy to power the world, we can reduce environmental damage by learning how to save electricity is becoming a priority for more and more people. The purpose of this project is to design a system which can track and estimate the bill using IOT from anywhere in world. The project design comprises of NodeMCU, four channel relay, OLED display and MIT app Inventor 2  as cloud Interface. Here NodeMCU fetches  average consumption detail of loads from and logs estimated bill to the cloud-hosted database, monitors the duration for which each relay in a 4-channel relay module was switched-on, performs calculations, and transmits real-time results to an IoT cloud interface. 4-channel relay module executes switching instructions on loads sent over the internet via the control unit. This paper provides highlights on cloud-hosted database details, hardware design, IoT cloud interface application design, and working principle with mathematical modeling of the proposed system and tested results of this system are discussed, with the cloud-hosted database and IoT cloud interface

    MATLAB Based Realtime Face Recognition for Attendance Monitoring using PCA

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    Face acknowledgment is a testing issue because of variety in demeanor, posture, brightening and maturing and so on. The presented paper basically deals with the working of face recognition system using Principal Component analysis (PCA). PCA is a quantifiable approach used for diminishing the quantity of factors in confront acknowledgement. In PCA, each photo in the planning set is considered as an immediate mix of weighted eigenvectors called eigenfaces. These eigenvectors are obtained from covariance lattice of an arrangement picture set. The weights are found in the way of picking a game plan of most noteworthy Eigenfaces. Affirmation is done by anticipating a test picture onto the subspace crossed by the eigenfaces and after that course of action is done by assessing the minimum Euclidean division

    Ionizable lipid nanoparticles for in utero mRNA delivery.

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    Clinical advances enable the prenatal diagnosis of genetic diseases that are candidates for gene and enzyme therapies such as messenger RNA (mRNA)-mediated protein replacement. Prenatal mRNA therapies can treat disease before the onset of irreversible pathology with high therapeutic efficacy and safety due to the small fetal size, immature immune system, and abundance of progenitor cells. However, the development of nonviral platforms for prenatal delivery is nascent. We developed a library of ionizable lipid nanoparticles (LNPs) for in utero mRNA delivery to mouse fetuses. We screened LNPs for luciferase mRNA delivery and identified formulations that accumulate within fetal livers, lungs, and intestines with higher efficiency and safety compared to benchmark delivery systems, DLin-MC3-DMA and jetPEI. We demonstrate that LNPs can deliver mRNAs to induce hepatic production of therapeutic secreted proteins. These LNPs may provide a platform for in utero mRNA delivery for protein replacement and gene editing

    Domain-swapped T cell receptors improve the safety of TCR gene therapy

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    T cells engineered to express a tumor-specific αβ T cell receptor (TCR) mediate anti-tumor immunity. However, mispairing of the therapeutic αβ chains with endogenous αβ chains reduces therapeutic TCR surface expression and generates self-reactive TCRs. We report a general strategy to prevent TCR mispairing: swapping constant domains between the α and β chains of a therapeutic TCR. When paired, domain-swapped (ds)TCRs assemble with CD3, express on the cell surface, and mediate antigen-specific T cell responses. By contrast, dsTCR chains mispaired with endogenous chains cannot properly assemble with CD3 or signal, preventing autoimmunity. We validate this approach in cell-based assays and in a mouse model of TCR gene transfer-induced graft-versus-host disease. We also validate a related approach whereby replacement of αβ TCR domains with corresponding γδ TCR domains yields a functional TCR that does not mispair. This work enables the design of safer TCR gene therapies for cancer immunotherapy

    Prevalence and onset of comorbidities in the CDKL5 disorder differ from Rett syndrome

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    Background: Initially described as an early onset seizure variant of Rett syndrome, the CDKL5 disorder is now considered as an independent entity. However, little is currently known about the full spectrum of comorbidities that affect these patients and available literature is limited to small case series. This study aimed to use a large international sample to examine the prevalence in this disorder of comorbidities of epilepsy, gastrointestinal problems including feeding difficulties, sleep and respiratory problems and scoliosis and their relationships with age and genotype. Prevalence and onset were also compared with those occurring in Rett syndrome. Methods: Data for the CDKL5 disorder and Rett syndrome were sourced from the International CDKL5 Disorder Database (ICDD), InterRett and the Australian Rett syndrome Database (ARSD). Logistic regression (multivariate and univariate) was used to analyse the relationships between age group, mutation type and the prevalence of various comorbidities. Binary longitudinal data from the ARSD and the equivalent cross-sectional data from ICDD were examined using generalized linear models with generalized estimating equations. The Kaplan-Meier method was used to estimate the failure function for the two disorders and the log-rank test was used to compare the two functions. Results: The likelihood of experiencing epilepsy, GI problems, respiratory problems, and scoliosis in the CDKL5 disorder increased with age and males were more vulnerable to respiratory and sleep problems than females. We did not identify any statistically significant relationships between mutation group and prevalence of comorbidities. Epilepsy, GI problems and sleep abnormalities were more common in the CDKL5 disorder than in Rett syndrome whilst scoliosis and respiratory problems were less prevalent. Conclusion: This study captured a much clearer picture of the CDKL5 disorder than previously possible using the largest sample available to date. There were differences in the presentation of clinical features occurring in the CDKL5 disorder and in Rett syndrome, reinforcing the concept that CDKL5 is an independent disorder with its own distinctive characteristics
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