The impact of information technology on organizations maturity of public and non-public hospitals in Isfahan

زمینه و هدف: یکی از مهمترین حوزه های کاربرد فناوری اطلاعات حوزه بهداشت و درمان می باشد. مطالعات نشان می دهند که فناوری اطلاعات می تواند اثرات شگرفی بر بلوغ بیمارستان ها داشته باشد. در این پژوهش سعی شده است به تاثیر فعالیت های فناوری اطلاعات بر سطوح بلوغ بیمارستان های دولتی و غیردولتی شهر اصفهان پرداخته شود. روش بررسی: این پژوهش به روش توصیفی تحلیلی در سال 1393 انجام گردید. جامعه پژوهش شامل مسئولان و کارشناسان فناوری اطلاعات بیمارستانهای دولتی وغیر دولتی شهر اصفهان به تعداد 164 نفر بود. ابزارگردآوری اطلاعات در این مطالعه پرسشنامه سنجش فعالیت های فناوری اطلاعات و سنجش بلوغ سازمانی شامل مولفه های نوآوری، بهبود دادن و پشتیبانی بود که روایی و پایایی آن تایید گردید. داده ها توسط نرم افزار های17 spss و لیزرل با استفاده از شاخص های آماری توصیفی و آزمون های فریدمن ، مدلسازی معادلات ساختاری و رگرسیون مورد تجزیه و تحلیل قرار گرفتند. یافته ها: میانگین و انحراف معیار متغیر فناوری اطلاعات66/0 ± 21/3 و مولفه های بلوغ سازمانی شامل نوآوری78/0 ± 25/3 ، بهبود دادن67/0 ± 48/3 و پشتیبانی66/0± 22/3 بود. نتایج این مطالعه نشان داد متغیر فن آوری اطلاعات به ترتیب بیشترین پیش بینی را برای متغیرهای پشتیبانی، بهبود دادن، نو آوری و بلوغ سازمانی داشت. نتیجه گیری: فعالیت های فناوری اطلاعات می تواند سازمان را به سمت سازمانی بلوغ یافته هدایت نموده و در پشتیبانی، نوآوری و بهبود سازمان نقش موثری را ایفا نماید. بنابراین به مدیران پیشنهاد می شود با اقداماتی نظیر استفاده از نیروی متخصص و دارای دانش فنی، در زمینه فناوری اطلاعات و سیستم های اطلاعاتی ،تشکیل کمیته راهبردی فناوری اطلاعات و ... تجدید نظر به عمل آورند

Ayurvedic measures to minimize need of Hysterectomy

Menopause is not just cessation of menstruation; it is depletion of ovarian follicles leading to decrease in ovarian hormones. A woman who has undergone hysterectomy but retains her ovaries will experience cessation of menstruation and not oestrogen deficiency syndrome just after it. In such cases the depletion of oocytes would occur earlier and thus women will perceive menopausal changes earlier than natural menopause. It shows that hysterectomy with or without oophorectomy leads to surgical menopause. Many times hysterectomy is done for such conditions which can be treated by medicines. In modern science, as there is no certain treatment for some diseases and the recurrences occur, hysterectomy becomes the solution. Ayurveda has mentioned such therapies which act locally as well as systemically and arrest the disease to get advanced or relapsed

Data driven Xpath generation

The XPath query language offers a standard for information extraction from HTML documents. Therefore, the DOM tree represen- tation is typically used, which models the hierarchical structure of the document. One of the key aspects of HTML is the separation of data and the structure that is used to represent it. A consequence thereof is that data extraction algorithms usually fail to identify data if the structure of a document is changed. In this paper, it is investigated how a set of tab- ular oriented XPath queries can be adapted in such a way it deals with modifications in the DOM tree of an HTML document. The basic idea is hereby that if data has already been extracted in the past, it could be used to reconstruct XPath queries that retrieve the data from a different DOM tree. Experimental results show the accuracy of our method

Pipelining in multi-query optimization

AbstractDatabase systems frequently have to execute a set of related queries, which share several common subexpressions. Multi-query optimization exploits this, by finding evaluation plans that share common results. Current approaches to multi-query optimization assume that common subexpressions are materialized. Significant performance benefits can be had if common subexpressions are pipelined to their uses, without being materialized. However, plans with pipelining may not always be realizable with limited buffer space, as we show. We present a general model for schedules with pipelining, and present a necessary and sufficient condition for determining validity of a schedule under our model. We show that finding a valid schedule with minimum cost is NP-hard. We present a greedy heuristic for finding good schedules. Finally, we present a performance study that shows the benefit of our algorithms on batches of queries from the TPCD benchmark

Challenges for Efficient Query Evaluation on Structured Probabilistic Data

Query answering over probabilistic data is an important task but is generally intractable. However, a new approach for this problem has recently been proposed, based on structural decompositions of input databases, following, e.g., tree decompositions. This paper presents a vision for a database management system for probabilistic data built following this structural approach. We review our existing and ongoing work on this topic and highlight many theoretical and practical challenges that remain to be addressed.Comment: 9 pages, 1 figure, 23 references. Accepted for publication at SUM 201

Comparative Performance of Mango Varieties Grafted on Vellaikolamban and Mixed Rootstock

Research on rootstock in mango is very limited in our country. Kalapady was reported to be a dwarfing rootstock. Recent trend among mango growers is to high density orcharding with dwarfening nature of the varietie. Efforts were made at Agriculture Research Station, Mulde, to study comparative performance of Ratna, Alphonso and Kesar mango on Vellaikolamban and mixed rootstock i.e., heterozygous seedling stock and the effect of rootstock on a scion under high density of 5m x 5m spacing. Results indicated that use of Vellaikolamban rootstock reduced plant volume in scion cv. Alphonso by 39.1%, followed by 24.9% in Ratna and 26.5% in cv. Kesar. As volume of the canopy was reduced, it directly influenced fruit yield cvs. Alphonso and Ratna. However, reduction in canopy volume had a positive influence on yield in cv. Kesar. Net returns of Rs.38,629/- per ha were maximum for Kesar with the rootstock Vellaikolamban

High Density Planting in Mango cv. Alphonso

A trial was conducted to optimize spacing for high density planting in mango cv. Alphonso to obtain higher yield/ unit area at the Agriculture Research Station, Mulde, during 2006-07 to 2008-09 with four close spacings and one normal spacing as control. Highest yield (6.4 MT/ha) was recorded with a spacing of 5 m x 5 m without reduction in fruit size in 10 year old plants compared to the mean yield of 1.12 MT/ha in 10m x 10m normal spacing. High density plantation helped to get significantly higher yield per unit area compared to the normal spacing, without affecting size and quality of mango fruits. The highest cost:benefit ratio (2.33) was recorded in high density plantation of 5m x 5m, with maximum net returns of Rs.1,12,000/- per hectare. The present findings show promise for more yield and returns per unit area during the initial years of mango plantation by adopting 5m x 5m high density planting

Study of vitamins in pulmonary Tuberculosis

Background: In recent years, progress in Tuberculosis (TB) control and eradication has been threatened by the emergence of drug resistant strains of Mycobacterium tuberculosis (MTB). Several studies describe micronutrient malnutrition in TB. This study focuses on the effect of drug resistance and disease progression on levels of various vitamins.Methods: The case control study comprised of 50 normal healthy human volunteers (Control), 50 newly diagnosed TB patients (CAT I) and 50 TB patients showing multi drug resistance (MDR). Recruited subjects were of both genders in age group of 18- 60 years and from different socioeconomic status. Blood serum samples analysed for levels of Vitamin A, Vitamin D, Vitamin E, Vitamin C, Vitamin B12 and Folic acid by using Spectrophotometer, ELISA and Chemiluminescence instruments. Statistical evaluation was done for correlation among variables.Results: The levels of vitamins in TB patients were significantly reduced when compared with controls. Also, MDR-TB patients showed severe malnourished state in comparison to those who were newly diagnosed for the disease.Conclusions: There is a need to provide vitamin supplements in proper sufficient dosage with anti-TB drugs during treatment, which will help fight against the disease and ensure rapid recovery of the patients

Risk-Averse Matchings over Uncertain Graph Databases

A large number of applications such as querying sensor networks, and analyzing protein-protein interaction (PPI) networks, rely on mining uncertain graph and hypergraph databases. In this work we study the following problem: given an uncertain, weighted (hyper)graph, how can we efficiently find a (hyper)matching with high expected reward, and low risk? This problem naturally arises in the context of several important applications, such as online dating, kidney exchanges, and team formation. We introduce a novel formulation for finding matchings with maximum expected reward and bounded risk under a general model of uncertain weighted (hyper)graphs that we introduce in this work. Our model generalizes probabilistic models used in prior work, and captures both continuous and discrete probability distributions, thus allowing to handle privacy related applications that inject appropriately distributed noise to (hyper)edge weights. Given that our optimization problem is NP-hard, we turn our attention to designing efficient approximation algorithms. For the case of uncertain weighted graphs, we provide a $\frac{1}{3}$-approximation algorithm, and a $\frac{1}{5}$-approximation algorithm with near optimal run time. For the case of uncertain weighted hypergraphs, we provide a $\Omega(\frac{1}{k})$-approximation algorithm, where $k$ is the rank of the hypergraph (i.e., any hyperedge includes at most $k$ nodes), that runs in almost (modulo log factors) linear time. We complement our theoretical results by testing our approximation algorithms on a wide variety of synthetic experiments, where we observe in a controlled setting interesting findings on the trade-off between reward, and risk. We also provide an application of our formulation for providing recommendations of teams that are likely to collaborate, and have high impact.Comment: 25 page

Monitoring System for Traffic Analysis Using Twitter Stream

Social networks are often utilized as a supply of data for event detection like road holdup and automobile accidents. Existing system present a period of time observance system for traffic event detection from twitter. The system fetches tweets from twitter and then; processes tweets victimisation text mining techniques. Last performs the classification of tweets. The aim of the system is to assign the suitable category label to every tweet, whether or not it's associated with a traffic event or not. System utilized the support vector machine as a classification model. The projected system uses the system supported semi-supervised approach, which provides coaching victimisation traffic connected dataset. we have a tendency to propose a bunch approach for classification of the tweets in traffic connected and non- traffic connected tweets. We use a geometer distance to calculate the similarity between the tweets