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The major aim of this study was to empirically analyze the sustainability of wealth creation activities among beneficiaries of Kano state Entrepreneurship development Programmes 2011 to 2015 by employing Multinomial logistic model. The study used 570 respondents with a response rate of 97% corresponding to 549 respondents for the analysis. The results of the logit and probit models show that the outcomes do not significantly vary with the conclusion that the wealth creation activities are sustainable. kopi ure

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In urban areas, the significance of literacy is recognized at all levels from nursery schools to university education. There is a close connection between literacy and livelihoods, possession of literacy skills are imperative to secure enhanced livelihoods. Livelihoods are understood not only in terms of generation of income, but also comprise of a much broader range of activities, such as, acquiring and retaining access to resources, possessions and opportunities, dealing with risks and unfavourable consequences, negotiating social relationships within the household and managing social networks and institutions within the communities and the city. Emphasis put on the livelihood initiatives of urban households and communities serves to highlight the significance of human competencies and capabilities. This focus is not meant to obscure the susceptibilities of people in poverty, or to emphasise upon the opportunities available to them in their efforts to earn incomes, create agreeable environments and develop positive social relationships.

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The main purpose of this research paper is to understand the activities of daily living of the elderly individuals. The activities that one performs in daily life are important as these influence the physical and psychological well-being and personality of the individuals. The elderly individuals, who are above the age of 60 years belong to different categories, backgrounds and occupations. Some experience serious illnesses and health problems, whereas others are active within their home as well as outside the home. The main areas that have been taken into account in this research paper are, activities of daily living, instrumental activities of daily living, occupational performance of activities of daily living, wellness for older adults in daily life, and benefits of wellness and activities. The activities of daily living and instrumental activities of daily living are essential for all the elderly individuals, irrespective of their backgrounds and categories. Whereas, occupational performance of activities of daily living arebased upon their interests and needs.

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National development depends upon the education of citizens, their understanding of communication, their character and sense of discipline and their ability to participate effectively in nation’s rising measures. It is hoped with the present study that it will be possible to find out if there is high association between Teaching Aptitude and Academic Achievement. Hence in the sample the number of male and female teachers is different. AII the teachers and students of class eight run by Basic Shiksha Parishad are taken for the purpose of study. For the present investigation Teaching Aptitude Test by Dr. Jaiprakash and Dr. R.P. Srivastava was used. And Academic Achievement Scores which are based on the 8th Board Examination 2013 organized by Basic Shiksha Pańshad are used as second tool. After study the researcher found that the hypothesis is rejected, because the significant impact of Teaching Aptitude of the teachers on student’s Academic Achievement is found. With Swiss replica watches uk reliable movements, UK best fake watches for men and women are on hot sale.
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Extended word similarity based clustering is a technique that extract from the output of calculation from corpus. The advantage of applying clustering is to enhance the outcome of the machine translation. Results from previous research states that the output may be improvised in English to Indonesian in which algorithm is applied in Indonesian language. Whereas English and Indonesian in not connected to each other. This paper will discuss on the outcomes of EWSB technique. The target language is Pontianak Malay language.

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Cancer detection is generally carried out manually by trained professionals, and these techniques are majorly helpful in advanced stage detection. Also, it involves a very tedious procedure and highly dependent on the given individual. This introduces the high possibility of human error in the detection process, which necessitate an automated process. Hence, this paper aims at early detection of cancer through an automated process to minimize human error and to make the process more accurate and hassle-free. In the proposed work, image processing algorithms and artificial neural network have been employed to design an automated process for early-stage detection of lung cancer. In the recent era, image processing technique could be very rampantly used in numerous clinical fields for image development which allows in early detection and analysis of the remedy ranges, and time aspect also plays a totally pivotal role in coming across the abnormality within the target pictures like-lung most cancers, breast most cancers and so forth. This research focusses upon photograph excellent and accuracy. Image pleasant assessment in addition to improvement are structured upon enhancement degree where low preprocessing strategies are used based upon Gabor clear out inside Gaussian rules; thereafter the segmentation ideas are applied over the improved area of the photograph and the center for function extraction is obtained, similarly depending upon the general capabilities, a normality contrast is made . within the following research the essential detected features for correct photo contrast are pixel percent and overlaying labeling. In this research, we've got carried out classification based upon synthetic neural networks that are greater satisfactory than other contemporary classification strategies.

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The main objective of automatic text summarization is to compress the document into a smaller version by preserving the important concepts. This work proposes a hybrid approach of Singular Value Decomposition and Named Entity Recognition to extract important sentences present in a document. The extracted sentences are used to create a probabilistic graphical model called a Belief network. This graph model represents document summary in concept level. We have used a modified Page Rank algorithm to find the most ranked noun phrase. From this noun phrase we extracted the most relevant sentences. Findings: Our abstractive graph based model for a document generates novel sentences as it uses the concept of triplets (Subject, Verb, and Object). It identifies whether a sentence is created by structural rearrangement of another sentence. Using SVD (Singualr Value Decomposition) and NER (Named Entity Recognition) we extracted relevant information present in a document so that entire document is crushed in to a graph model. We can use this model for documents similarity as well as for plagiarism detection. Experimental results of our proposed system show that use of named entities and SVD increases the accuracy of summarizer.

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Discontinuity is the cycle wherein information are isolated into pieces and are put away on a cloud worker. Discontinuity and duplication of datasets are utilized to conquer the issue of over-burdening on cloud worker. Step by step cloud worker use and handling purchased another test to information. we are proposing the thought wherein the expense of information stockpiling and the executives lessen somewhat. Discoveries information duplication is a significant job in information for the executives. Information de-duplication strategies locate a safe unique mark for each information pieces by putting away it in encoded structure utilizing MD5 and SHA. The distinguished unique mark is then coordinated with each put away piece in the information base and dissected. Although there is just one duplicate for each document put away in the cloud, it won't be moved on the off chance that it is accessible in numbers. As Deduplication improves stockpiles utilization, however, drops unwavering quality. This permits the end of repetitive information.

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The purpose of this study is to look at how Critical Reading (CR) practices can be adapted to regular EFL reading courses in order to boost student motivation. Its goal is to determine the significance of three fundamental characteristics of CR courses in improving motivation, decreasing external control, allowing students to express their personal realities in classroom processes, and achieving optimal arousal. Students in the ELT preparatory year participated in the research. According to the data, incorporating these three aspects into EFL reading courses improves student motivation. Traditional reading classes, on the other hand, will lack the crucial novelty of CR courses, which is gaining a new skill, within the adaption for students with strong self efficacy and English competence. And hence, this study suggests that students' intrinsic motivation for EFL reading lessons will be expanded for students with high levels of English proficiency if the former two features are supported through tasks designed to raise optimal arousal to compensate for the lack of novelty in traditional learning classrooms.

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This task gives a blueprint for improving a data framework, provided the current frameworks use specific sensors and IoT. The support of this task depends on the philosophy of IoT. should keep up the water level in a dam with really to stay away from entanglements. The amount of water delivered is barely right, bringing about wastage of water. It is unimaginable for a man to unequivocally control the entryways without information on the specific water level and water inflow rate. We have fostered a mechatronics-based framework. We have planned a framework in which ongoing things are interconnected to the web. Water level contactless Ultrasonic sensor is set in tub associated through Arduino UNO to fill a similar need naturally and forward the status to it. This framework distinguishes the degree of water and gauges the water inflow rate in a tub and, along these lines, controls the Solenoid valve utilizing IoT on an ongoing premise. The water level is broken down using this sensor and refreshed in the webserver utilizing the IOT module associated with the Arduino UNO. Arduino unit takes a look at that information and transfers the situation with water level on the web.

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Laboratory trials were conducted to evaluate the food preference behaviour of Mus musculus (albino) i.e. Swiss albino mice by experimenting four cereals (Wheat, jowar, gram and maize) in the form of whole grains, broken grains and flours in both single choice and multiple choice feeding tests. Observations reveal highest ranking of jowar flour baits among different foods offered, although wheat flour having non-significant difference (P>0.05) in consumption with jowar flour may also be regarded as equally preferred. Swiss rolex replica official fake rolex watches UK for sale are cheap for men and women.
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Good-quality software is designed, developed, and tested using a structured process called the software development life cycle (SDLC). Software development life cycle, or SDLC, is a technique that outlines each phase of the software development process in detail. Delivering high-quality, maintainable software that satisfies user needs is the aim of the SDLC life cycle model. The software development life cycle (SDLC) in software engineering models specifies the plan for each stage so that each stage of the model may carry out its role effectively to produce the software at a cheap cost within a specified time frame that satisfies customers' needs.

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This research paper investigates the ICT skills and information-seeking behavior of nursing students through a case study approach. It examines the level of proficiency in ICT tools among these students and explores how these skills influence their ability to seek and utilize information for academic purposes. The study reveals that while nursing students possess varying levels of ICT skills, those with higher proficiency demonstrate more effective and efficient information-seeking behaviors. This study highlights the importance of integrating robust ICT training into nursing education to enhance students' information management and academic success, providing valuable insights for curriculum development.

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This study explores the relationship between breastfeeding success in the early postpartum period and the perception of self-efficacy in breastfeeding, along with the incidence of breast problems in the late postpartum period among primipara mothers in selected hospitals in Punjab. Using a correlational research design, data were collected from 150 primipara mothers to assess the impact of early breastfeeding success on self-efficacy perceptions and breast problems encountered later. The findings aim to inform healthcare practices and interventions to improve breastfeeding outcomes and maternal well-being.