Throughout the recorded history, it is evident that India and Eurasia have fostered a strong and enduring economic and commercial relationship. Nevertheless, it is imperative to acknowledge that these economic interconnections and exchanges had experienced a gradual weakening over the period of time.
Background: Objectives: To find the burden of cervical intraepithelial neoplasia and cervical carcinoma in ever married rural women and to create awareness for its prevention and management.Methods: The present cross-sectional study was undertaken in Block Beri, district Jhajjar, Haryana, among ever married females aged 30-59 years. A total of 1615 women were enumerated from three randomly selected sub-centers. Out of these 1359 were interviewed by house to house survey. Among them 664 (49%) consented for per-vaginal examination for Visual Inspection with Acetic acid (VIA), Visual Inspection with Lugol’s Iodine (VILI) and Papanicolaou (Pap) smear at the respective sub-centers. Data was analyzed using SPSS version 17.Results: Per-vaginal discharge (45.9%) was the most common complaint followed by lower backache (36.6%) and lower abdominal pain (35.0%). VIA was positive in 18.5%; while VILI in 23.2% of study subjects. On cytological examination, in 313 subjects, no significant pathology was detected. Six subjects (0.904%) showed epithelial cell abnormality classified as ASCUS among four cases and one each as LSIL and HSIL.Conclusions: Low prevalence (0.9%) of epithelial cell abnormalities observed in study confirmed the national estimates for Haryana as low prevalence area for cervical cancers.
Service Oriented Software Engineering is the most promising engineering paradigm in industry now-a- days. It focuses on development of software systems based on reusable services that can distributed in nature. Migrating legacy system developed in any language to Service Oriented Paradigm is in trend now. Enterprises have more powerful software with lesser cost. There has always been a difference between the methods of migration proposed by academia and as used in industry. Academia suggests that while migration, legacy system should be reverse engineered. But in practice, legacy systems are forward engineered. The paper tries to fill the agreement gap between Industry and Academia upon the migration of legacy system to SOA system. In this research, Memory and CPU utilization of various events of legacy system, Forward Engineered SOA system, and Backward Engineered SOA system were recorded. Recommendation is given that migration technique should be chosen by keeping these trade-offs in consideration. This research paper focuses on bridging the gap between Industrial Practices and Academia Theory.
Outlier is defined as an observation that deviates too much from other observations. The identification of outliers can lead to the discovery of useful and meaningful knowledge. Outlier detection has been extensively studied in the past decades. However, most existing research focuses on the algorithm based on special background, compared with outlier detection approach is still rare. Most sophisticated methods in data mining address this problem to some extent, but not fully, and can be improved by addressing the problem more directly. The identification of outliers can lead to the discovery of unexpected knowledge in areas such as credit card fraud detection, calling card fraud detection, discovering criminal behaviors, discovering computer intrusion, etc. The greedy approach to develop two efficient algorithms , ITB-SS,ITB-SP that provide practical solutions to the optimization problem for outlier detection. For more optimized data in this paper a new work, which is used both algorithms with genetic algorithm which provide more accurate results as compare to previous results.
Evans syndrome is an autoimmune disorder characterized by the simultaneous or sequential occurrence of autoimmune hemolytic anemia and idiopathic thrombocytopenic purpura (ITP) with or without neutropenia. It can occur idiopathically or secondary to autoimmune or malignant processes. We are presenting a case of ITP with concurrent chronic hemolytic anemia and positive markers for systemic lupus erythematosus with no prior diagnosis of any rheumatological disorder.
The importance of software measurement is increasing leading to development of new measurement techniques. Reusing existing software components is a key feature in increasing software productivity. It is one of the key elements in object-oriented programming, which reduces the cost and increases the quality of the software. An important feature of C++ called templates support generic programming, which allows the programmer to develop reusable software modules such as functions, classes, etc. The need for software reusability metrics is particularly acute for an organization in order to measure the degree of generic programming included in the form of templates in code. This research addresses this need and introduces a new set of metrics for object-oriented software. Two metrics are proposed for measuring amount of genericty included in the code and then analytically evaluated against Weyuker's set of nine axioms. This set of metrics is then applied to standard projects and accordingly ways in which project managers can use these metrics are suggested.
The significance of community structure in complex networks, such as social, biological, and online networks, has been widely recognized. Detecting communities in social media networks typically relies on two sources of information: the network’s topological structure and node attributes. Incorporating rich node content attribute information poses both flexibility and challenges for community detection. Traditional approaches either focus on mining one information source or linearly combining results from both sources, which fails to effectively fuse the information. This paper introduces a practical collaborative learning approach that explores the multi-dimensional attribute characteristics of nodes to facilitate community division. By leveraging graphical matrix decomposition, the proposed algorithm, CDGMF, improves the effectiveness and robustness of community detection. Experimental results demonstrate the method’s ability to effectively utilize node attribute information for guiding community detection, resulting in higher-quality community divisions.
Although typical imaging findings of COVID-19 pneumonia has been described it may be difficult at times to distinguish it from other viral pneumonias. In the following case series, we describe a typical sign i.e. Bull's-eye sign in COVID-19 pneumonia. As this sign is not associated with any known pulmonary disease, so its presence may help radiologists to differentiate COVID-19 pneumonia from its mimics.
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