Struma Ovarii Associated with Pseudo- Meigs’Syndrome

Struma ovarii is a specialized ovarian teratoma composed predominantly of mature thyroid tissue. It is associated with pleural effusion and ascites (Pseudo-Meigs’ syndrome) in 5% of cases. Majorities of the strumas are benign, however occasionally malignant transformation may be seen. We report a case of a 45 years old postmenopausal woman who presented with gradually increasing dyspnoea and distention of abdomen of five months duration. USG abdomen revealed a bulky right ovary with a solid and cystic components and ascites. Her chest X-ray showed bilateral pleural effusion. Hence, clinical diagnosis of malignant ovarian tumor was kept; however, both the ascetic & pleural fluids were cytologically negative for malignant cells. The patient was operated forhysterectomy with bilateral salpingo-ophorectomy. The histopathological examination of the ovarian mass confirmed the diagnosis of struma ovarii. Postsurgical follow up of patient showed spontaneous regression of pleural effusion and ascites. The coexistence of an ovarian tumor, ascites and bilateral pleural effusion that resolves spontaneously on resection of the ovarian mass is known as pseudo-Meigs’ syndrome. Patient with pseudo-Meigs’ syndrome may present a diagnostic problem as they masquerade as carcinoma with malignant effusions. In addition, the coexistence of struma ovarii and pseudo-Meigs’ syndrome is a very rare event

Design and Development of an Unconstrained Spine Test Rig to Study the Kinematics of Spine Motion

The spine is one of the most complex structures in the musculoskeletal system. Surgical procedures and implants used to treat spinal disorders include modification or removal of the diseased intervertebral disk, vertebral fusion using various combinations of hardware devices, and total disc replacement using mobile implant devices. The safety and efficacy of these implants need to be evaluated prior to clinical use. Three-dimensional biomechanical testing of the spine is necessary to evaluate spine function along with the effects of disorders, surgical procedures and implants. The general flexibility tests using pure moments can be performed using commercially available testing frames, but they are costly and not available in many research labs. The setup developed in this study can be accommodated by any lab with a bi-axial testing machine. The test rig designed in this study allows for the unconstrained motion of the spine under pure moment loading conditions. Loading can be applied continuously or in a stepwise fashion through positive and negative moments. The motion data was captured using Polaris Vicra, NDI Digital. This data was then analyzed using a custom code written in MATLAB, (Mathworks, Natick, MA). A mechanical analog lumbar spine model was used for kinematic experiments and the study showed promising results for the test rig to be used as an unconstrained spine test rig

Selective & Secured Code Distribution Approach for Multihop Wireless Sensor Networks

AbstractThis paper proposes an efficient code distribution approach for multihop wireless sensor networks in heterogeneous environment. Reprogramming a sensor network necessitate to fulfil the changing application requirements, bug fix as it is impractical to reach the node once deployed. We are presenting an efficient code distribution scheme to update the running code in sensors over the air with secure authentication & completion verification. The experimental results shows how proposed approach sdeluge is efficient in terms of significant reduction in average completion & dissemination time, advertisement rate, average energy consumption consequently improvement in lifetime of the network

Microfluidic systems for in situ formation of nylon 6,6 membranes.

A microfluidics based, localised formation of nylon 6,6 membranes has been undertaken. The study demonstrates the feasibility of maintaining stable aqueous/organic interfaces for xylene within simple linear flow channels. Glass fabricated structures were used with adipoyl chloride and hexamethylenediamine in the organic and aqueous phases, respectively, in order to achieve nylon 6,6 interfacial polymerisation. Localised membrane formation was investigated in flow channels of different geometries over a wide range of flow rates (500–4000 μl/min), with Reynolds numbers ranging from 8.4 to 67.2. The results demonstrate that interfacial polymerisation occurs consistently over a wide range of flow rates and of flow entry angles for dual aqueous/organic solvent input. However, creation of uniform planar film structures required careful optimisation, and these were best achieved at 2000 μl/min with a flow entry angle of 45°. The resulting membranes had thicknesses in the range between 100 and 300 μm. Computational modelling of the aqueous/organic flow was performed in order to characterise flow stability and wall shear-stress patterns. The flow arrangement establishes a principle for the fabrication of micromembrane structures designed for low sample volume separation, where the forming reaction is a facile and rapid interfacial process

Gn-Dtd: Innovative Way for Normalizing XML Document

As XML becomes widely used, dealing with redundancies in XML data has become an increasingly important issue. Redundantly stored information can lead not just to a higher data storage cost, but also to increased costs for data transfer and data manipulation, such data redundancies can lead to potential update anomalies. One way to avoid data redundancies is to employ good schema design based on known functional dependencies. This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical  Notations-Data  Type   Documentation  (GN-DTD). GN-DTD allows us to  capture syntax and semantic of XML documents   in   a   simple   way   but   precise.  Using   various notations,  the important features of XML documents such as elements,   attributes,   relationship,   hierarchical    structure, cardinality,  sequence  and  disjunction  between  elements  or attribute are visualize clearly at the schema level. Keywords- XML Model, GN-DTD design, Normalization XML schema, Transformation Rules

VATAGAJENDRASINGH RASA - IN THE MANAGEMENT OF AMAVATA: A REVIEW

The disease Amavata which can be correlated Rheumatoid arthritis (RA) in modern medicine, now a days it is a common problem due to changed lifestyle, food habits and lack of physical activities. It is the common most crippling and disabling disorder in the world. Ama (indigested end product of food) and Vata (one of the three Dosha) both are equally important for the establishment of the disease, predominantly produces Sandhishoola (joint pain), Sandhishotha (joint swelling), Gaurava (heaviness), Jwara (fever). The prevalence of RA is approximately 0.8% of the population (range 0.3 to 2.1%); women are most commonly affected. There are several formulations for the management of Amavata, but only that, which can bring about a cure, is a correct medicine. Use of herbomineral formulations is common in present Ayurvedic practice. Ayurvedic drug ‘Vatagajendrasingh Rasa’ is a unique formulation mentioned in Bhaishajyaratnawali for the management of Amavata. The aim of the study is to evaluate the possible mode of action of the formulation in the management of Amavata. The main ingredients are Kajjali, Abhraka Bhasma, Tamra Bhasma, Loha Bhasma, Naga Bhasma, Shuddha Vatsanabha, Shuddha Tankana, Shuddha Hinga, Shuddha Jatiphala etc. Purpose of composition is Sampraptibhanga (break the pathogenesis) by Agnideepana (increase appetite), Amapachana (digestion) and management of symptoms and complications (Ashthivikruti, Sandhikunjana, Sankocha, Khanjatva, Agnidaurablya etc.) In Ativriddha (Chronic) Amavata

EFFECTIVENESS OF TRIBAL DIALECT PROGRAM ON ACADEMIC ACHIEVEMENT OF TRIBAL STUDENTS

Primary education is one the fundamental rights of every individual, irrespective of their age, sex, caste, religion and their ability or disability. Although, huge amounts are being spent for the noble cause of education and universalization of primary education, tribal students are still deprived, deficient and deviated from the mainstream of educational and social race. The research paper dealt with one of the most crucial issues related to the standard of present tribal primary education in Maharashtra. The objective of this study was to study the effectiveness of tribal Dialect Program on the academic achievement of tribal students of Seventh class in Marathi Subject. The study reveals that there is significant effect of tribal Dialect Program on the academic achievement of tribal students of Seventh class in Marathi Subject

Intelligent Malware Detection System

Malicious programs spy on users’ behavior and compromise their privacy. Unfortunately, existing techniques for detecting malware and analyzing unknown code samples are insufficient and have significant shortcomings. We observe that malicious information access and processing behavior is the fundamental trait of numerous malware categories breaching users’ privacy (including key loggers, password thieves, network sniffers, stealth backdoors, spyware and root kits), which separates these malicious applications from benign software. Commercial anti-virus software is unable to provide protection against newly launched (“zero-day”) malware. In this dissertation work, we propose a novel malware detection technique which is based on the analysis of byte-level file content. The proposed dissertation work will demonstrate the implementation of system for detection of various types of malware

Multi Disease Prediction Using HDO Machine Learning Approach

Several machine learning approaches can do predictive analytics on vast volumes of information in various sectors. Predictive analytics in health care is a challenging task. Still, it may ultimately aid physicians in making timely judgments about the health and handling of patients based on vast amounts of information. Breast cancer, diabetes, and heart-related disorders cause numerous fatalities worldwide, yet most of these decreases are attributable to an absence of appropriate screenings. The lack of remedial substructure and a short doctor-to-population proportion contribute to the issue above. Following WHO recommendations, physicians' ratio to affected persons should be in some range; India's doctor-to-public proportion indicates a doctor scarcity. Heart, cancer, and diabetes-related disorders pose a significant danger to humanity if not detected initially. Thus, early detection and identification of these disorders may save many lives. Using classification methods based on machine learning, the focus of this effort is to anticipate dangerous illnesses. Diabetes, heart disease, and breast cancer are discussed in this study. To make this effort easy and accessible to the general community, a web application for therapeutic tests has been developed that use machine learning to create illness predictions. In this study, a web application is created for illness prediction that employs the notion of machine learning-based forecasts for illnesses such as breast cancer, diabetes, and cardiovascular sickness