Functional outcome of proximal tibial fracture treated surgically using locking compression plate

Background: Tibial plateau fractures are common intra-articular fractures, representing 1.2% of all fractures. These fractures are common in two age groups: as higher-energy fractures in younger patients and lower-energy fractures in elderly patients secondary to osteopenia. In the younger population, these injuries are associated with an increased incidence of complications like nonunion, infection, restriction of motion, and post-traumatic arthritis. The study aimed for final outcome of proximal tibial fracture using locking compression plate by minimally invasive percutaneous plate osteosynthesis (MIPPO).Methods: 30 cases of proximal tibial fractures were treated by using locking compression plate and studied from December 2015 to November 2017 in Department of Orthopaedics, Dr. S.N. Medical College associated group of Hospitals, Jodhpur.Results: All the selected 30 cases were followed up for 6 months. The average time for union of fracture was 21 weeks ranging from 18-24 weeks. Full weight bearing was not allowed until 12 weeks or complete fracture union. Partial immobilization was kept for 6 weeks in long knee brace. An average flexion was achieved upto0-1140. We observed 4 cases of postoperative complications that included 2 infections, one knee stiffness and one varus deformity.Conclusions: Surgical management of proximal tibia fractures with only lateral plating by MIPPO gave excellent reduction, rigid fixation to restore articular congruity and provides early motion to achieve optimal knee function and reducing post-traumatic osteoarthritis

Spectrum of morbid anatomy of liver in autopsy cases

Background: Purpose of autopsy is to learn the truth about the person’s health during and how the person died. Thus, autopsy study provides valuable information about the disease. The main aim of the study was to know the spectrum of morbid anatomical changes in liver autopsy.Methods: A prospective study was carried out on 100 liver specimens of autopsy cases comprising of 37 cases of roadside accidents, 17 of poisoning, 13 of burns, 10 of chronic illness, 7 each of hanging and head injury, 4 of myocardial infarction and 5 of death due to miscellaneous causes. Representative microsections of liver were evaluated for histopathological parameters like congestion, ballooning degeneration, hepatocellular necrosis, sinusoidal dilation, fatty change, bile stasis, fibrosis, lobular inflammation and portal inflammation.Results: Out of total 100 cases, 77 were males and 23 females. Male to female ratio was 3.34:1. Hepatomegaly was seen in 15% of cases. Chronic venous congestion was the main histopathological diagnosis seen in 61% of the cases followed by chronic hepatitis in 12%, normal liver histology in 9%, hepatic steatosis and cirrhosis in 6%, granulomatous hepatitis in 2%, and sinusoidal congestion, portal triaditis and secondary neoplasm in 1% each.Conclusions: Chronic venous congestion, chronic hepatitis, cirrhosis and hepatic steatosis were the common liver diseases identified. Autopsy study is useful to monitor the cause of death and to plan medical strategy. Histopathological examination of the liver is specialized learning tool to study the various diseases of liver which is a great value in improving the diagnosis

Indian E-Governance System Opportunities and Challenges

The empowering part of the Information and Communication innovation (ICT) in the conveyance of administrations in the general population and government segment has picked up acknowledgment. Accordingly, an insurgency as far as administration is occurring everywhere. EGovernance accepts more prominent significance with regards to administration of today's legislative structures to achieve fast monetary development and enhanced personal satisfaction. The innovation and the techniques utilized as a part of E-Governance venture give a guide to proficient conveyance of administrations at the entryway step. In today's chance the advancement of any nation relies on upon the employments of E-Governance furthermore their entrance. Improvement of any nation can be judge by the extent of EGovernance in that nation. It has introduced straightforwardness in the administering procedure; sparing of time because of procurement of administrations through single window; lessening in defilement, accommodation and strengthening. There are numerous difficulties which making issues for Indian government to run e-administration. In this paper we need to investigate the convenience of e administration for the administration organizations and subject of India. We need to distinguish the segments those are profited through eadministration strategy furthermore introduced a thorough rundown of E-Governance ventures which is as of now being utilized as a part of India

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Convolutional Neural Networks, one of the deep learning tools, have attained an impressive outcome in this area. Applications such as identifying objects, faces, bones, handwritten digits, and traffic signs signify the importance of Convolutional Neural Networks in the real world. The effectiveness of Convolutional Neural Networks in image recognition motivates the researchers to extend its applications in the field of agriculture for recognition of plant species, yield management, weed detection, soil, and water management, fruit counting, diseases, and pest detection, evaluating the nutrient status of plants, and much more. The availability of voluminous research works in applying deep learning models in agriculture leads to difficulty in selecting a suitable model according to the type of dataset and experimental environment. In this manuscript, the authors present a survey of the existing literature in applying deep Convolutional Neural Networks to predict plant diseases from leaf images. This manuscript presents an exemplary comparison of the pre-processing techniques, Convolutional Neural Network models, frameworks, and optimization techniques applied to detect and classify plant diseases using leaf images as a data set. This manuscript also presents a survey of the datasets and performance metrics used to evaluate the efficacy of models. The manuscript highlights the advantages and disadvantages of different techniques and models proposed in the existing literature. This survey will ease the task of researchers working in the field of applying deep learning techniques for the identification and classification of plant leaf diseases

Evidence for involvement of cytosolic thioredoxin peroxidase in the excessive resistance of Sf9 Lepidopteran insect cells against radiation-induced apoptosis.

Lepidopteran insect cells display 50-100 times higher radioresistance compared to human cells, and reportedly have more efficient antioxidant system that can significantly reduce radiation-induced oxidative stress and cell death. However, the antioxidant mechanisms that contribute substantially to this excessive resistance still need to be understood thoroughly. In this study, we investigated the role of thioredoxin peroxidase (TPx) in high-dose γ-radiation response of Sf9 cell line derived from Spodoptera frugiperda, the Fall armyworm. We identified a TPx orthologue (Sf-TPx) in Spodoptera system, with primarily cytosolic localization. Gamma-irradiation at 500 Gy dose significantly up-regulated Sf-TPx, while higher doses (1000 Gy-2000 Gy) had no such effect. G2/M checkpoint induced following 500 Gy was associated with transition of Sf-TPx decamer into enzymatically active dimer. Same effect was observed during G2/M block induced by 5 nM okadaic acid or 10 µM CDK1 (cycline dependent kinase-1) inhibitor roscovitine, thus indicating that radiation-induced Sf-TPx activity is mediated by CDKs. Accumulation of TPx dimer form during G2/M checkpoint might favour higher peroxidase activity facilitating efficient survival at this dose. Confirming this, higher lethal doses (1000 Gy-2000 Gy) caused significantly less accumulation of dimer form and induced dose-dependent apoptosis. A ∼50% knock-down of Sf-TPx by siRNA caused remarkable increase in radiation-induced ROS as well as caspase-3 dependent radiation-induced apoptosis, clearly implying TPx role in the radioresistance of Sf9 cells. Quite importantly, our study demonstrates for the first time that thioredoxin peroxidase contributes significantly in the radioresistance of Lepidopteran Sf9 insect cells, especially in their exemplary resistance against radiation-induced apoptosis. This is an important insight into the antioxidant mechanisms existing in this highly stress-resistant model cell system