1,035 research outputs found
Comparative study of “Mifepristone Plus Vaginal Misoprostol” Versus “Vaginal Misoprostol Alone” for Second Trimester Abortion
Second trimester abortion management have undergone tremendous change with advent of prostaglandin analogues. Medical methods are safer comparatively, non-invasive, have no anaesthesia complications and have advent over surgical methods. The present study is compare the abortifacient efficacy of mifepristone with vaginal misoprostol and using misoprostol alone in the mid trimester abortion.
AIM AND OBJECTIVES:
To compare the abortifacient effect of mifepristone with vaginal misoprostol and misoprostol alone in second trimester termination of pregnancy. Induction-abortion interval, success rate, outcome were compared.
To compare side-effects and complications.
To compare the cost effectiveness.
METHODOLOGY:
Patients requesting abortion in their second trimester are randomly allocated into two groups. Sample size:100 GROUP-1-50-Mifepristone + vaginal misoprostol GROUP-2- 50- vaginal misoprostol alone.
DISCUSSION:
Second trimester termination of pregnancy has tremendous improvement in management by the usage of prostaglandins. In this study, mean age of patients in mifepristone and misoprostol
group was 25.54 years and in misoprostol group it was 25.22.yrs. The age distribution is found to be maximum among 21-25 yrs and above 30yrs it was less.
In this current study patients with atleast one prior delivery constitute for 22% in mifepristone+ misoprostol group, 30% in misoprostol group But in the study conducted by JAN E DICKINSON it was 57.8% in mifepristone+ misoprostol group and in misoprostol it was 60.3%.
In this study, the mean gestational age in mifepristone=misoprostol group was18.22 weeks and in misoprostol group it was 18.40weeks. Mifepristone given prior to prostaglandins in second trimester abortions resulted in shorter induction-abortion interval and success rate is found to be
high though the cost is high. In Mifepristone + misoprostol, 80% aborted successfully, but in
misoprostol group only 36% aborted within 12hrs. In Mifepristone + misoprostol group 100% aborted successfully at 24and 48 hrs and in misoprostol group it was 98 % and was compared with
other studies.
CONCLUSION:
Comparing Mifepristone and Vaginal Misoprostol combination with vaginal misoprostol alone for second trimester pregnancy termination, it was observed that Mifepristone with vaginal misoprostol combination group is associated with shorter induction abortion interval and 100% success rate. The complete abortion rate, success rate and side effects were comparable in both group
DYNAMIC SEARCHABLE OVER ENCRYPTED CLOUD DATA FOR MULTI KEYWORD RANKED SEARCH SCHEME
As a result of rising status of cloud computing, increasingly more information proprietors tend to be provoked to subcontract their data to cloud machines for huge expediency and cost this is certainly abridged information company. However, responsive information must be encrypted before outsourcing for solitude needs, which obsoletes data operation akin to document retrieval that is keyword-based. In this article, we truth be told there a cramped multi-keyword ranked research method over encrypted cloud data, which simultaneously chains modernize this is certainly lively like removal and insertion of papers. Particularly, the vector space model and also the TF this is certainly widely-used IDF are mutual in the index building and query generation. We produce a certain directory site this is certainly tree-based and recommend a “Greedy Depth-first Search” algorithm to give efficient multi-keyword rated search. The kNN that is secure is useful to encrypt the index and query vectors, and meanwhile guarantee precise value score calculation between encrypted index and query vectors. To be able to withstand attacks which are numerical apparition terms are added to the index vector for blinding search results. As a result of utilize of your certain index this is certainly tree-based, the planned system can realize sub-linear search time and contract with the removal and introduction of documents athletically. Extensive experiments are carried out showing the competence associated with suggested plan
MINIMIZING SERVER BURDEN USING VIRTUAL MACHINE MIGRATION PROBABILITY IN CLOUD COMPUTING ENVIRONMENTS
Aided by the improvement cloud processing, digital machine migration is promising as a encouraging strategy to conserve power, enhance resource utilizations, and guarantee Quality of Service (QoS) in cloud data centers. The majority of live research in the near procedure relocation though is base in one device migration that is virtual. The writer usually will not look at the correlation among these digital devices though there are researches on manifold near equipment relocation. In practice, to conserve power and system that is protect, cloud providers often need certainly to migrate multiple correlated virtual devices or move the entire digital information center (VDC) request. In this paper, we centre on the competent online relocation that is real time of concurrent VMs in VDC requests, for optimizing the migration overall performance. To resolve this issue, we suggest an VDC that is efficient migration (VDC-M). We make use of the US-wide NSF network as substrate system to behaviour imitation experiment this is certainly large. Replica results show that the recital of this planned algorithm is skilled with regards to the total VDC remapping expense, the preventing ratio, the common migration some time the downtime this is certainly typical. 
DYNAMIC REPLICATION AND MIGRATION OF DATA IN CLOUD USING CRANE
The cloud has develop into the perfect setting to satisfy the ever-growing space for storing need with all the large acceptance of large-scale internet solutions and big data. In this scenario, information replication was touted given that answer this is certainly last improve information ease of use and minimize accessibility time. However, replica organization systems usually have to travel and create a large figure of data replica in the long run flanked by and within information center, sustain a overhead that is huge terms of community load and simplicity of use. Propose CRANE, and Replica that is competent relocation for spread cloud space for storage methods. CRANE complement any reproduction post algorithm by resourcefully replica that is managing in geo-distributed infrastructures so that you can (1) reduce the time had a need to copy the info to your brand new reproduction location, (2) prevent community blocking, and (3) guarantee the smallest amount of desired simplicity for the information. During simulation and new results, we show that CRANE provides a response that is sub-optimal the reproduction moving difficulty with lower computational trouble than its figure linear agenda formulation. Also show that, compare to start Stack Swift, CRANE has the capacity to decrease by up to 60% the content development and moving some time by as much as 50per cent the inter-data center system traffic while determine the quantity that is tiniest needed information access. 
MONITOR CROP-FIELD BASED SMART IRRIGATION SYSTEM USING IOT
Internet of Things (IoT) is really a shared system of objects or things that can interact with each other offered the Internet link. IoT plays an role this is certainly important farming business which can give 9.6 billion individuals from the Earth by 2050. Smart Agriculture helps to lower wastage, efficient usage of fertilizer and thus boost the crop yield. Something is developed to monitor crop-field using detectors (earth dampness, heat, humidity, Float amount sensor) and automate the irrigation system in this work. The information from sensors are provided for Web host database utilizing transmission this is certainly wireless. The info tend to be encoded in JSON format in server database. On the basis of the water level within the land while raining the motor will ON/OFF be switched automatically
Application of a radial basis function neural network for diagnosis of diabetes mellitus
In this article an attempt is made to study the applicability
of a general purpose, supervised feed forward
neural network with one hidden layer, namely. Radial
Basis Function (RBF) neural network. It uses relatively
smaller number of locally tuned units and is
adaptive in nature. RBFs are suitable for pattern recognition
and classification. Performance of the RBF neural
network was also compared with the most commonly used
multilayer perceptron network model and the classical
logistic regression. Diabetes database was used for
empirical comparisons and the results show that RBF
network performs better than other models
Analisis Vertikal dan Horizontal terhadap Laporan Keuangan PT Perkebunan Nusantara III (Pesero) Medan
This study aims to see the development of assets, profit / loss and observe financial ratios as projected financial performance of PT Perkebunan Nusantara III (PTPN III) Medan for the last 3 years ie the period of 2010 until 2012. From the results of vertical analysis known factors Causing the fluctuation of PTPN III financial ratios are: a) Liquidity increases due to the decrease in short-term liabilities; B) Solvency increases as a result of the increase in total debt; C) The creditability of accounts receivable collectability has improved; D) The profitability of a company decreases due to lower net income, increased assets and equity; E) Declining profitability is caused by the global economic crisis. While the results of comparison analysis are: 1) Current assets increased in 2011 and decreased in 2012 resulting from a reduction in cash, cash equivalent of third party receivables; 2) Fixed assets due to increased ownership of facilities / infrastructure and buildings; 3) Short-term debt increased in 2011 but decreased in 2012 due to decreased contractor debt, tax debt and bank debt; 4) Long-term debt increased due to increased deferred employee benefits and deferred tax liabilities; 5) Increased equity caused by increased issued and paid-up capital of the company; 6) Reduced net sales of palm oil, rubber and palm kernel and its derivatives due to falling selling prices; 7) Net income increased in 2011 but in 2012 is reduced and far from the planned company
Construction of Permutation Polynomials of Certain Specific Cycle Structure over Finite Fields
For a finite field of odd number of elements
we construct families of permutation binomials and permutation trinomials
with one fixed-point (namely zero) and
remaining elements being permuted as disjoint cycles of same length.
Binomials and trinomials providing permutations
with cycles of many lengths with
certain frequency are also constructed.Comment: 10 pages, 1 table, Comments welcom
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