1,072 research outputs found
શ્રી વર્ષા અડાલજાની નવલિકાઓ અને નવલકથાઓમાં સ્ત્રી પાત્રો - એક સમાજશાસ્ત્રીય અધ્યયન
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Iso-array rewriting P systems with context-free iso-array rules
A new computing model called P system is a highly distributed and
parallel theoretical model, which is proposed in the area of membrane computing. Ceterchi et al. initially proposed array rewriting P systems by extending the notion of string rewriting P systems to arrays (2003). A theoretical model for picture generation using context-free iso-array grammar rules and puzzle iso-array grammar rules are introduced by Kalyani et al. (2004, 2006). Also iso-array rewriting P systems for iso-picture languages have been studied by Annadurai et al. (2008). In this paper we consider the context-free iso-array rules and context-free puzzle iso-array rules in iso-array rewriting P systems and examine the generative powers
of these P systems
Prevalence of abnormal semen analysis in patients of infertility at a rural setup in Central India
Background: Semen analysis is an indispensable diagnostic tool in the evaluation of the male partners of infertile couples.Methods: Semen samples were analysed by manual method. Analyses were for volume, viscosity, sperm concentration, motility, and morphology, according to WHO guidelines on semen analysisResults: This study, done at a rural setup, at Acharya Vinoba Bhave Rural Hospital has demonstrated that abnormal semen quality is a major factor in our rural setup with 52% of male partners of infertile couples having abnormal semen parameters.Conclusion: Male contribution towards infertility is yet to be studied and requires more elaborate research
Clinico-radiological and histopathological study of ovarian masses at a tertiary care centre
Background: Counselling and rapid referral to a specialised facility might be improved with the use of a scoring system that could diagnose ovarian cancer. The relative simplicity of the Risk of Malignancy Index (RMI) scoring technique and the ease with which it may be applied make it a strong candidate to use as a primary diagnostic tool for individuals with pelvic masses.
Methods: Prospective observations study conducted on women diagnosed with ovarian mass by clinical examination and confirmed by ultrasonography, undergoing surgery at RL Jalappa Hospital, Kolar from January 2021 to December 2022. Histopathological report was considered as Primary outcome parameter. Age group, Parity, Menstrual history, Risk Malignancy Index, etc., were considered as explanatory parameters.
Results: A total of 40 subjects are included among which 22.50% are aged ≤40 years and 77.50% are aged >40 years. Using a cut off of 25, majority (88.2%) of those with malignancy had RMI≥25 and in benign histopathology report 56.5% had ≥25 RMI. Histopathology report, there was a statistically significant (p<0.05) difference in RMI values. The RMI had a sensitivity of 88.24% in predicting malignancy with specificity 43.48%, positive predictive value 53.57%, negative predictive value 83.33% with a total diagnostic accuracy of 62.50%.
Conclusions: Results from RMI and histopathology correlate positively. The results of this research show that RMI is a reliable and practicable method for assessing patients with pelvic masses at the commencement of therapy and identifying those who are good candidates for centralised surgical treatment
An Efficient Medical Text Mining in Diseases Diagnoses And its equivalent Data privacy Preservation Policy for Medical Data: A Review
Healthcare systems use a medical text mining which have been increasingly facilitating health condition monitoring and disease modeling. System works on the Personal Health Information (PHI) of the user. Healthcare system grant users access to range of health information and medical knowledge. Benefit of the system is all the information about disease, precautions and healthcare are store at one place. Unfortunately, delegating both storage and computation to the untreated entity would bring a series of security and privacy issues. One of the controversial issues for PHI is how the technology could threaten the privacy of patient health information. The proposed system focused on fine-grained privacy-preserving static medical text access and analysis, which can hardly afford the dynamic health condition fluctuation
A review on novel COVID-19: background, etiology, pathogenesis, transmission, prevention and management
Mankind's history is watching a bizarre time battling an imperceptible adversary, the novel COVID-19 Coronavirus. At first seen in the Wuhan province of China, presently limitlessly spreading all over world. How the COVID 19 has been made on the globe become Pandemic needs no depiction. The virus has been accounted for affecting the lungs and related respiratory tracts promoting harm of the alveoli. It has been accounted that the respiratory sickness is the prevailing Clinical symptom of COVID-19. This review article discusses an easily understanding of the causes, different type of Human viruses regarded of Coronavirus, clinical diagnosis of RT-PCR, FET, Primary prevention and control of the virus. Therefore, this review article main theme is to provide more reliable and valid information to control and manage public emergency in both acute and chronic conditions of coronaviru
Gynaecological Cancers in India: The Less Heard Perspectives of Healthcare Providers
There has been mounting evidence on the role of healthcare providers in chronic illnesses such as cancer. The specific complexities in their roles to enable health are less heard. Gynaecological cancers have several undercurrents beyond the obvious. Semi-structured interviews were conducted with healthcare providers in Southern India (n = 35) and the data presented in this article were collected as a part of a larger study on the role of communication in the management of gynaecological cancers in India. Thematic analysis of the qualitative data provided information on the providers’ perspectives of gynaecological cancers. Patient numbers, cost, time, cultural norms, context, and institutional constraints in cancer care provision are just some of the factors impacting care provision. Healthcare providers are typically acknowledged for the criticality of their roles in the continuum of care. However, our research suggests that the psychological harm and challenges they themselves may face in providing that care are severely neglected. Through listening to healthcare provider voices, clear solutions emerge to better support the practice of those who are responsible for cancer care
Data Security in Cloud for Medical Sciences using AES 512-bit Algorithm
Cloud computing is typically defined as a type of evaluation that relies on sharing computing resources to handle applications. There is a requirement to redesign the medical system to meet their better needs among the growing technologies .With the initiation of cloud computing the doctors can keep their information about the latest diseases, emergency cases and complex problems. However the privacy and security of data is extremely exigent. To guarantee privacy and security of data in cloud computing, we have proposed an effective approach for data security by the process of encrypting and decrypting the data through the concept of cryptography. In this paper the proposal is to prevent data access from cloud data storage centers by unauthorized access using AES-512 bit algorithm with key size and input block size of 512-bits that makes it more defiant to cryptanalysis.
DOI: 10.17762/ijritcc2321-8169.16040
Translation Of Telugu-Marathi and Vice-Versa using Rule Based Machine Translation
In todays digital world automated Machine Translation of one language to
another has covered a long way to achieve different kinds of success stories.
Whereas Babel Fish supports a good number of foreign languages and only Hindi
from Indian languages, the Google Translator takes care of about 10 Indian
languages. Though most of the Automated Machine Translation Systems are doing
well but handling Indian languages needs a major care while handling the local
proverbs/ idioms. Most of the Machine Translation system follows the direct
translation approach while translating one Indian language to other. Our
research at KMIT R&D Lab found that handling the local proverbs/idioms is not
given enough attention by the earlier research work. This paper focuses on two
of the majorly spoken Indian languages Marathi and Telugu, and translation
between them. Handling proverbs and idioms of both the languages have been
given a special care, and the research outcome shows a significant achievement
in this direction.Comment: 13 pages, Fourth International Conference on Advances in Computing
and Information Technology (ACITY 2014) Delhi, India - May 201
Optimal Placement and Control of Unified Power Flow Control Devices Using Evolutionary Computing and Sequential Quadratic Programming
A crucial factor effecting modern power systems today is power flow control. An effective means for controlling and improving power flow is by installing fast reacting devices such as a unified power flow controller (UPFC). For maximum positive impact of this device on the power grid, it should be installed at an optimal location and employ an optimal realtime control algorithm. This paper proposes the combination of an evolutionary algorithm (EA) to find the optimal location and sequential quadratic programming (SQP) to optimize the UPFC control settings. Simulations are conducted using the classic IEEE 118 bus test system. For comparison purposes, results for the combination of a greedy placement heuristic (H) and the SQP control algorithm are provided as well. The EA+SQP combination is shown to outperform the H+SQP approach
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