This study investigated the effects of computer-based learning on students’ academic performance and the learning setting that yields better when students are exposed to Computer- programmed Instructional Package .This research study tends to find out the efficacy of a Computer Assisted Instructional Package (CAIP) on students’ performance in Basic Science. In actualising these, Quasi-experimental pre-test- post-test research design was used. Two secondary schools were purposively selected and assigned to Experimental groups 1 and 2 in equal numbers. Students in Experimental group 1 were exposed to CAIP individually and Experimental group II in Cooperative groups. An equivalent school was selected as control. 40 students in JSS 3 were randomly selected from each of the schools. Test-retest method was used in finding the reliability of BSAT which was used for collecting data. Result was 0.78 at 0.5 level of significance. Data collected was analysed using descriptive and inferential statistics of percentages and Analysis of Covariance (ANCOVA).  The result of the analysis of co-variance and the Scheffé post hoc revealed that students taught with the developed package performed significantly better than their counterparts taught with conventional method of instruction.It was also discovered that the cooperative group, where a class of forty students are grouped into 10 enhanced better and faster learning than individualised learning. Results from the  instructional settings show that knowledge acquisition was enhanced in all with the cooperative instructional setting performing better than their counterparts in individualised instructional setting and conventional group(individualized=X=66.53, cooperative=X=76.75, conventional=X=59.40). Consequently, the paper recommends that cooperative instructional setting should be encouraged in learning Basic Science.

In the context of territorial intelligence, territorial actors and, in large part, public administrations in particular are in constant development.

For this reason and to support territorial development, several theories and practices have been adopted.

Among the theories developed to carry out the function of territorial governance, we find the stakeholder theory that comes to put in place a strategy centered on the systems of corporate governance.

Thus, the NPM also appears as a new management tool, considered as a "hybrid, processual and evolutionary construct" or/and as a slippery label.

The present article aims to conduct a literature review of the above mentioned theories in order to identify the advantages and disadvantages of each.

Many organization tries to achieve their organizational goals like profit maximization, high market share and survival. In market, consumers have certain expectation from the brands and trend to rely on brand as an indicator to purchase intention of brand choice, all the resources spend in wasted of each brand organizations. Therefore, this study about the Role of brand equity in influencing the purchase intention of branded baby soaps, which is one of the most competitive markets in Jaffna District Sri Lanka.

200 questionnaires were collected from Jaffna District population. Data were analyzed and evaluated by univariate and bivariate techniques. For this study, only five branded baby soaps are considered such as pears baby Jhonson and Jhonson, baby Cheramy, Khomba baby and Kekulu. However, the main thing is the marketer want to identify that all these soaps brand equity positively in influencing the purchase intention devoid of Kekulu. For the reason, there are very low Kekulu soap buyers in the study area.

Overall view the brand equity strong positively influence the purchase intention of Jhonson and Jhonson soap. Eventually, this report recommends some actions for improving the role of brand equity in influencing the purchase intention of branded baby soap market.

The Ghanaian student loan has been touted as an innovative policy to enhance human development yet the policy is contending with inherent inefficiencies. With the general objective of this study, to critically analyze the success and sustainability of the SLTF loan in Ghana through the repayment and recovery rate using the relative efficiency index (REI=Repayment Ratio / Recovery Ratio) as compare to other Africa countries. This research analyzed the repayment mechanism used in the Ghanaian SLTF and the other countries under study, focusing on a payment schedule, time-frame and the interest rate applied. From the research, although the repayment ratio is high mean, the value of loan amount is also high this suggests that there are gaps to be filled in terms of repayment. Loan repayment is also affected by the interest rate and the salary as shown in the data. The researcher recommends that the loan amount should be reviewed upwards while the repayment period of the student loan remains 10years. With trending issues based on others literature on student loans, the researcher can predict that the loan efficiency would be positive if a high percentage of the loans are paid by student borrowers within the repayment period.

Thyroid function test (TFT) is one of the frequently asked investigations. There is continuous increase and demand for this test. The reasons for increased number of thyroid testing include the wide list of clinical presentation of thyroid disorders with variable signs and symptoms.  The thyroid gland itself can be affected with different ranges of disorders including auto-antibodies, congenital, genetics and cancers (1,2). In addition, the thyroid disorders can mimic or co-exist with other conditions especially in elderly and children.  This climbing number of tests makes a financial burden to the laboratory. It necessitated extra reagents and consumables, extra manpower and some time extra analyzer.

The Internet of Things (IoT) allows objects becoming producers and users of information generated by themselves, by people or by other systems and also facilitates automating applications. One of the IoT topics is home automation, which allows monitoring and manipulating objects in a house. Because of the growing of IoT, there are emerging different platforms to face this technology, such as FIWARE, which provides components and data models that facilitate the development of IoT applications. In this paper, a smart plant prototype based on FIWARE is presented. The plant environment data is gathered through different sensors, and is sent to a FIWARE component called Orion Context Broker (OCB) in a FIWARE data model structure. The OCB allows to manage and publish the data, so that, the data is available in the cloud ready to be consumed by other users or applications and to automate applications.

Abstract:

The project mainly deals with detailed study on export oriented & local knit brands & their products, while taking account of various aspects such as – product type, age group, construction of fabric, fabric sourcing, fabric supplier, fabric cost, FOB cost of garments, accessories sourcing & some activities towards sustainability of brands. In this project samples are collected randomly from the merchandising departments of different company & buying houses. Brands are selected in convenient method. We also selected some renowned local brand randomly. Quantitative data & qualitative data are collected through some questionnaires & then they are analyzed. The export oriented brands are selected for the study from North America, South America & Europe region. The result visualizes the picture of detailed study on export oriented & local knit brands & some drawbacks of our local brand has been discovered with some recommendation of appropriate solutions. A detailed survey was also conducted to find out how different aspects of the brands affect consumer behavior.

This study investigated the comprehensibility of a software code from a developer’s point of view and proposed new metric accordingly. The factors that affect the complexity of procedural, object-oriented, and multi-paradigm codes were analyzed for this purpose. Addition to the investigated factors, various metrics and several aspects were combined in the proposed metric. The proposed metric were empirically validated in different paradigms.

A verification calculation was aimed at further proving that the least critical load gives the Euler buckling load for a pin-ended column to be : Pcr=(PI)2*EI/L2. Selecting a parabolic function for this purpose, that meets the boundary conditions and is almost exactly similar to the symmetrical function sin(x). It was expected to obtain a critical load that is larger than the load given by the sine function. The parabolic function produced  LOWER CRITICAL LOAD by about 2.73%.

This experiment was conducted to study the effects of different levels of full fat canola seed low in glucosinolate and erucic acid on the performance of 336 day old quail (Coturnix coturnix japonica). The experiment was performed in a completely randomize design with three treatment and four replicates for each treatment. The experimental treatment included 5 and 10 % full fat canola seed in diet and fed to quail from 1 to 42 days of age. All of the experimental diets were iso-caloric and iso-nitrogenous. The mean total body weight was not significantly influenced by canola seed inclusion levels. But feed intake and feed conversion ratio were significantly increased by supplementation of 10 % full fat canola seed to the diet. Percentage of liver, proventriculus, gizzard, carcass to body weight was not significantly affected by canola seed inclusion levels. But small intestine rate was significantly increased by supplementation of 10 % full fat canola seed to the diet. As a result, it is possible to say that the full fat canola seed low in glicosinolate and erucic acid content could be used up to 10 % level in quails’ diet.

This study shows that the misspelling rates in Amazon reviews can be effectively modeled as having cyclical components by using seasonal decomposition, and this effectiveness is almost identical to that gained by using a neural network that uses basic astronomical placements of the day. While the modeling of past Amazon misspelling rates was slightly more effective using a neural net and astronomy of day as compared to seasonal decomposition, future values were only effectively predicted by the neural net that used astronomy of day.