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Corrective Feedback was been extensively debated in the ESL/EFL writing. Both focused and unfocused corrective feedbacks seem to have a positive effect in ESL/EFL writing. The present study examined focused and unfocused corrective feedback for the target form of articles for elementary group as anaphoric reference in written narrative of Iranian EFL learners. 60 participants were selected via the Oxford Placement Test and were assigned to two elementary and advance groups. Then members of each group were randomly divided to subgroups. One subgroup received focused feedback and another half received unfocused feedback. In other words, the focused group received feedback in the form of the correction of articles while the unfocused group received correction of articles error alongside correction of other errors. The participants were given a narrative writing with some pictures and key terms and after reading them, the narrative writing, but not the pictures, was taken away and they were asked to rewrite the narrative in their own words. This task was conducted three times, as a pretest, a post-test and a delayed post-test. This study attempted to examine whether different kinds of corrective feedback does have any effect on learning of articles for elementary level.An in-group paired sampled t-test was calculated between the scores obtained in the pre-test, the post-test, and the delayed post-test.A close examination of the results the data showed that focused corrective feedback was more efficient and significant. The findings are consistent with other studies conducted under similar circumstances.

The application of artificial neural network (ANN) methodology for modeling flood prediction for a large size catchment of the river Jhelum in Jammu and Kashmir (India) is presented. Development of flood prediction models for river Jhelum, flowing through the Srinagar city (J and K ) based on the tail side discharge of upstream tributaries is studied because major inundation caused due to the floods in river Jhelum occurs in the highly populated and largely developing city of Srinagar. The 22 years data records between the years 1990-2012 were used and ANN technique along with conventional regression analysis was employed. The performance was compared based on statically parameters root mean squared error (RMSE), mean square error (MSE), coefficient of determination (R2) and absolute average deviation (AAD) values. NNtp model emerged as the best model with the highest value of R2 compared to other models as 0.93, value of MSE and RMSE being the least as 0.008 and 0.09 respectively. The study proved ANNs to be much better in predicting the flood discharge when judged on all the above parameters. It also showed that transfer function tan-sig performs better than pure-lin in the networks developed for flood prediction. The flood discharge could be thus predicted at least a day before the discharge reaches the station with a high predictability based on the ANN model NNtp.

Water demand in Abeokuta, Nigeria and bacteriological content of public water supplied by the Ogun State Water Corporation, major water supplier in Abeokuta; is assessed in this paper. The water demand of the population was estimated for ten years based on the 2006 National Population Census result, using the geometric projection method. Forty sampling locations were also randomly selected in the city of Abeokuta. Water samples were collected - during the rainy and dry season. The samples were analyzed for total and faecal coliform count using the Most Probable Number method. The presence of Escherichia coli was detected in 39 of a total of 80 samples collected in both seasons. Water demand ranges from 2.01 x 10-7 m3 - 2.48 x 10-7 m3 per year. However, the current volume of water supplied, about 82 million litres per day (2.99 x 10-7 m3 per year), that is when the public utility is in operation is only sufficient to meet the current water demand of the population. The paper argued the need for urgent expansion of the water scheme to adequately meet the present and future water needs of the population and by extension the targets of the Millennium Development Goals by 2015. The paper concludes on the need for periodic monitoring of the state of water from the distribution pipe network from source to the point of use, as well as the water quality parameters that are necessary to ensure the safety of water.

Strangulation is a form of violent asphyxial death and majority of cases are homicidal in nature. This report illustrates an unusual cause of accidental strangulation death of 44 years old female caused due to chunni (a piece of cloth worn around the neck by most Indian women) being caught in moving sugarcane crusher. She was immediately taken to the emergency department of PGIMS Rohtak, where a few hours later she was declared dead, despite all the resuscitation and IVF/drugs. In summary, this case exemplifies the unsuspected inherent danger of wearing long scarf (chunni) while working with machinery.

Cancer is a hyper proliferative disorder marked by metastasis into the vital organs of the body through invasion and angiogenesis. Biodegradable nanoparticles have been used frequently as anti-cancer drug delivery vehicles due to its splendid bioavailability, better encapsulation, and control release with less toxic properties. Various nanoparticulate systems, general synthesis and encapsulation process, control release and improvement of therapeutic value of nano-encapsulated cancer drugs are covered in this review. We have highlighted the impact of biodegradable polymer such as PLGA, PLA, chitosan, gelatin, polycaprolactone and poly-alkyl-cyanoacrylates in the formulation of nanoparticles for encapsulation of cancer drugs. Hence in the current review a detailed studied has been done for the delivering of cancer drugs effectively using biodegradable polymers.

This study assessed the health care services in relation to guardians level of satisfaction with childcare services at the Tamale Central (TCH) and Tamale West hospital (TWH), Ghana. The target populations of this study were guardians of sick children under five who visited the TCH and TWH. A total sample size of 100 respondents was used. 50 participants were each taken from the two Hospitals by using convenience sampling technique. Questionnaires was used for data collection and the data was analyzed using SPSS. A total of 41.2% of the patients were satisfied with the overall service received at the hospital. Guardians who were satisfied with the service significantly had a shorter waiting time than those who were not satisfied. In conclusion, mothers/guardians’ level of satisfaction with childcare are associated with four important dimensions namely; time spent at the hospital, relationship between health worker and parents, affordability of healthcare services and level of confidentiality that exist in the hospital. Long waiting time negatively affected satisfaction. If this is improved upon, it will lead to increased guardian satisfaction regarding the care rendered to their children.

One of the basic areas of the computer science is Data Structure. Sorting is an important issue in Data Structure which creates the sequence of the list of items. Although numbers of sorting algorithms are available, it is all the more necessary to select the best sorting algorithm. Therefore, sorting problem has attracted a great deal of research as sorting technique is very often used in a large variety of important applications so as to arrange the data in ascending or descending order. This paper presents a Both Ended Sorting Algorithm which is faster or better than the bubble sort& others algorithm. After having studied various sorting algorithms; I came to the conclusion that there is no such sorting algorithm which works on the basis of both end comparison right end as well as left end. The new algorithm so is then analysed, implemented & tested. The test results obtained are then presented and compared with the traditional Sorting Algorithm. Worst case complexity is also improved as a compare to bubble sort.

Three reliable, rapid and selective methods have been developed and validated for the determination of mebeverine hydrochloride and chlordiazepoxide in pharmaceutical dosage forms. The first method is first order derivative spectrophotometric method All variables affecting the reaction have been investigated and the conditions were optimized. The second method is based on separation of the cited drugs (mebeverine hydrochloride Rf =0.72 ± 0.02 and chlordiazepoxide Rf = 0.43 ± 0.04) followed by densitometric measurement of the intact drug spots at 220 nm by HPTLC. The separation was carried on silica gel plates using chloroform: methanol: ammonia (9.5: 0.5: 0.1, (v/v/v) as a mobile phase. The linearity range was 200-1200 ng/spot for mebeverine hydrochloride and 100-600 for chlordiazepoxide. The third method is accurate and sensitive HPLC method based on separation of mebeverine hydrochloride and chlordiazepoxide on a reversed phase C18 column, using a mobile phase of potassium dihydrogen phosphate buffer (0.05 M, pH 4.0 adjusted with 0.5% orthophosphoric acid)-methanol- water (30:50:20, v/v/v) and UV detection at 260 nm in an overall analysis time of about 5 min., based on peak area. The accuracy and precision of the methods were confirmed when the standard addition technique was applied. The validation was performed according to ICH guidelines. The results obtained by applying the proposed methods were statistically analyzed.

This study investigates the predicted effects of climatic factors during convenient intervals (in days) on cotton flower and boll production compared with daily observations. Also, covers the statistical relationship between climatic variables and aspects of cotton production and the effects of climatic factors prevailing prior to flowering or subsequent to boll setting on flower and boll production and retention in cotton. Further, cotton flower and boll production as affected by climatic factors and soil moisture status has been considered. Evaporation, sunshine duration, relative humidity, surface soil temperature at 1800 h, and maximum air temperature, are the important climatic factors that significantly affect flower and boll production. The least important variables were found to be surface soil temperature at 0600 h and minimum temperature. The five-day interval was found to be more adequately and sensibly related to yield parameters. Evaporation; minimum humidity and sunshine duration were the most effective climatic factors during preceding and succeeding periods on boll production and retention. There was a negative correlation between flower and boll production and either evaporation or sunshine duration, while that correlation with minimum relative humidity was positive. The soil moisture status showed low and insignificant correlation with flower and boll production. Higher minimum relative humidity, short period of sunshine duration, and low temperatures enhanced flower and boll formation.

We are very happy to announce that from 6th April 2015, Dr. M.J.Jijin has joined the team of Elixir Editorial Advisory Board. He will carry a special responsibility for dealing with manuscripts based on Extractions and Impactions. Dr. M.J.Jijin currently working as Dental Surgeon, C.H dental care, Malappuram (Dist), Kerala. The appointment of Dr. M.J.Jijin as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal.